Introduction

Catalan’s constant is the real number

G=β(2)=∑j=0∞(−1)j(2j+1)2,β(s)=∑j=0∞(−1)j(2j+1)s(s>0).G = \beta(2) = \sum_{j=0}^{\infty} \frac{(-1)^j}{(2j+1)^2}, \qquad\beta(s) = \sum_{j=0}^{\infty} \frac{(-1)^j}{(2j+1)^s} \qquad(s > 0).

It is the simplest even value of the Dirichlet beta function, or equivalently L(2,χ−4)L(2,\chi_{-4}) for the odd quadratic character of conductor 4. Its arithmetic illustrates a basic difficulty in the study of special values: rapidly converging rational approximations need not be sufficiently accurate after their denominators are cleared. We prove the following statement about this individual value.

Theorem 1.1. Catalan’s constant is irrational.

Earlier results and the approximation problem

For odd positive integers, the beta values are rational multiples of the corresponding powers of π\pi. The even values present a different arithmetic problem [19]. Rivoal and Zudilin proved that infinitely many even beta values are irrational, and that at least one of β(2),β(4),…,β(14)\beta(2), \beta(4), \ldots, \beta(14) is irrational [19]. Zudilin reduced this finite collection to the six values through β(12)\beta(12) [28]. Lai and Zhou subsequently reduced it to the five values β(2),β(4),β(6),β(8),β(10)\beta(2), \beta(4), \beta(6), \beta(8), \beta(10) [15]. Fischler obtained stronger quantitative results for irrationality and linear independence in families of Dirichlet LL-values [9]. Such family results guarantee irrational members without identifying the particular value β(2)\beta(2).

For an individual value, the basic approximation criterion requires nonzero integer linear forms AmG−BmA_mG-B_m that tend to zero. Convergence of Bm/AmB_m/A_m to GG alone does not suffice: multiplication by AmA_m may remove the decay. Apéry’s recurrence constructions for ζ(2)\zeta(2) and ζ(3)\zeta(3) [2], and Beukers’s integral proofs of their irrationality [3] succeed because the analytic decay survives the necessary denominator clearing. For Catalan’s constant, Zudilin constructed Apéry-like recurrences, a continued fraction and double-integral representations [26]. His discussion following Theorem 1 makes the obstruction explicit: the displayed integer linear forms do not tend to zero, despite the rapid convergence of their rational quotients.

The denominators themselves became an important part of the problem. Rivoal connected Padé approximation with the hypergeometric construction and proved its conjectured denominator bounds [18]. Krattenthaler and Rivoal subsequently gave a more direct hypergeometric proof of these bounds [13]. These results establish arithmetic cancellation that is invisible in a crude estimate of the individual summands. They still leave a denominator cost too large for the small-linear-form criterion. Krattenthaler and Zudilin later identified two apparently different hypergeometric constructions of the same approximants [14]. Such identities matter arithmetically because different expressions can make different denominator factors visible.

Nesterenko developed effective approximations using half-integer hypergeometric series and double Euler integrals [17]. Viola announced joint work with Marcovecchio improving an approximation exponent through the Rhin–Viola permutation-group method [23]; their report gives the exponent 0.6293 . . . for its explicit approximants. A recent preprint of Eskandari constructs further explicit rational approximations satisfying 0<∣G−pm/qm∣≤qm−0.620 < \lvert G - p_m/q_m\rvert\le q_m^{-0.62} for all sufficiently large mm [8]. These are bounds for particular constructions, not irrationality measures. An error bound with exponent below 1 does not by itself make the integer forms qmG−pmq_mG - p_m tend to zero.

Results at other characters and other places give useful comparisons. Calegari, Dimitrov and Tang proved the Q\mathbb{Q}-linear independence of 1, π2\pi^2 and L(2,χ−3)L(2,\chi_{-3}) [5]. Their character has conductor 3, rather than the conductor 4 of GG. Their discussion of two Catalan approximation families again identifies the denominator cost as an obstruction for those constructions [5].

Calegari proved irrationality of a 2-adic analogue G2∈Q2G_2 \in\mathbb{Q}_2 [4]. As explained by Calegari, Dimitrov and Tang [6], the related real identity contains an additional π2\pi^2 term that is absent in the 2-adic identity. This illustrates why the 2-adic result does not settle the real problem. In our construction, cancellation of an additional ζ(2)\zeta(2) term is likewise essential, although the moment identities and the cancellation argument are proved directly below.

Sun [22] has also announced a proof of the same qualitative irrationality statement. No result from that preprint is used here.

The determinant strategy

We construct determinants ΔN\Delta_N of size n=48Nn = 48N whose entries combine moments of two elementary kernels. Each moment is a rational linear combination of 1, GG and ζ(2)\zeta(2). The polynomial rows are chosen to have high Taylor contact: two prescribed expressions in the rows have identical initial Taylor coefficients. This agreement cancels the ζ(2)\zeta(2) term in every entry. Consequently, the single hypothesis G∈QG \in\mathbb{Q} makes all the determinants rational.

For a nonzero rational number, its ordinary absolute value is determined by its prime valuations. Bounds on the denominators of ΔN\Delta_N therefore give a lower bound on log⁡∣ΔN∣\log\lvert\Delta_N\rvert. An integral formula for the same determinant gives an upper bound. The contradiction comes from making these bounds incompatible as the size grows. Zudilin’s determinantal criterion gives a useful precedent for this comparison [27]. There, a positive moment representation produces Hankel determinants with squared-Vandermonde integrals. Positivity supplies nonvanishing, and the denominator and integral estimates are compared on the scale of the square of the matrix size. His discussion of Catalan’s constant explains why the denominator growth of the approximation family considered there still prevents application of the criterion [27]. Our determinant is mixed and signed; its nonvanishing and its real-place estimate require separate arguments.

Three features of the construction make this comparison possible. First, integral Chebyshev rows provide both the Taylor contact and useful divisibility. At the large odd primes relevant to the leading bound, denominators of order p2p^2 and pp must both be controlled. The arithmetic estimate follows these two layers separately; cancellation at the first layer alone would not give the required denominator bound.

Second, nonvanishing is arithmetic. Under the hypothesis G∈QG \in\mathbb{Q}, when N=pN = p is itself a sufficiently large prime, Frobenius and a pair of polynomial bases reduce the growing matrix to three fixed rational matrices. An exact finite certificate proves their nonvanishing. The reduction then gives nonzero determinants along an unbounded prime sequence, without asserting positivity of the mixed determinant.

Third, the real estimate respects both branches of the rational parametrization used to construct the rows. A bounded holomorphic interpolant controls their mixed evaluations in one range of configurations; a Hadamard bound treats the complementary range. The interpolation estimate is uniform even when nodes approach one another. Its proof uses a finite-dimensional Hardy-space operator, so the evaluation determinant cancels algebraically rather than introducing an inverse-Vandermonde estimate. Andréief’s integration identity [10], Cauchy’s double alternant [12], and the kernel/compression viewpoint of analytic interpolation [21] supply the classical context; the specific estimates are proved below.

The resulting Vandermonde products have logarithmic interactions, as in logarithmic potential theory [20]. A Chebyshev expansion of the logarithmic kernel [11] reduces the estimate to quadratic sums and two one-variable functions in each case. We regularize their interactions together, control the omitted diagonals and endpoint terms, and only then take a supremum and pass to the limit. Explicit rational trial coefficients finish the argument. Their certificate exhausts all stationary points and bounds entire root brackets, rather than relying on a numerical search for the maxima.

For orientation, the two estimates are stated for the same normalized logarithm

LN=log⁡∣ΔN∣(48N)2−12log⁡2.(1)\mathcal{L}_{N} = \frac{\log\lvert\Delta_{N} \rvert}{(48N)^2} - \frac{1}{2}\log2. \tag*{(1)}

Under the rationality hypothesis, Proposition 3.4 gives lim inf⁡LN>−2.29084\liminf\mathcal{L}_{N} > -2.29084 along every sequence of nonzero determinants, and Proposition 4.1 supplies such a sequence with NN prime. Independently, Proposition 7.1 gives lim sup⁡LN≤−2.290939875<−2.2909\limsup\mathcal{L}_{N} \le-2.290939875 < -2.2909. These inequalities are incompatible. The argument proves qualitative irrationality; a bound for an irrationality measure would require additional control of rational approximations. Section 8 also deduces irrationality of the minimum volume of an orientable complete finite-volume hyperbolic three-manifold with exactly two cusps, and of certain arithmetic hyperbolic volumes.

Organization and conventions

Section 2 constructs the rows and moments, proves cancellation and rationality, and gives the estimate at the prime 2. Section 3 treats odd primes and derives the finite-place lower bound. Its only prime-distribution input is the ordinary prime number theorem; the weighted consequence needed here is proved locally. Section 4 establishes nonvanishing at prime scales. Sections 5 and 6 give the uniform real-place and energy estimates. Section 7 supplies the rational data certifying the real-place bound, and Section 8 assembles the contradiction.

All logarithms are natural. We use vp(p)=1v_p(p)=1 and vp(0)=+∞v_p(0)=+\infty; for real estimates we put log⁡0=−∞\log0=-\infty. Constants in asymptotic estimates may depend on the fixed rational value hypothetically assigned to GG, but never on NN or on the integration points. The finite certificates are specified by rational data and arithmetic instructions in the text; supplementary programs reproduce them.

Polynomial rows and mixed moments

We construct the determinant and prove that its entries are rational under G∈QG \in\mathbb{Q}. The row design serves two purposes: Taylor contact cancels ζ(2)\zeta(2), while integral Chebyshev coefficients permit the finite-prime estimates. After the moment calculations, we establish the estimate at 2; odd primes are treated in the next Section.

For each positive integer NN, set

n=48N,a=11N,b=7N,q=g=4N,h=2N,L=n+a=n+b+q=59N,C=L+g=63N,H=C+h=65N,A=a+2g=19N.(2)\begin{aligned} n &= 48N,\qquad a = 11N,\qquad b = 7N,\qquad q = g = 4N,\qquad h = 2N,\\ L &= n+a = n+b+q = 59N,\qquad C = L+g = 63N,\\ H &= C+h = 65N,\qquad A = a+2g = 19N. \tag*{(2)} \end{aligned}

Write f(t)=1−t2f(t)=\sqrt{1-t^2}, with the positive branch on (−1,1)(-1,1), and w=t/(1+f)w=t/(1+f). Then

t=2w1+w2,f=1−w21+w2.t=\frac{2w}{1+w^2},\qquad f=\frac{1-w^2}{1+w^2}.

The involution denoted by a star sends ww to w−1w^{-1}, fixes tt, and sends ff to −f-f. For 0≤r<n0\le r<n, define

Rr=(1−t)htC−1wr−g,Pr=Rr+Rr∗2,Dr=t(Rr∗−Rr)2f.(3)R_r=(1-t)^h t^{C-1}w^{r-g},\qquad P_r=\frac{R_r+R_r^*}{2},\qquad D_r=\frac{t(R_r^*-R_r)}{2f}. \tag*{(3)}

Here and below identities involving ff near zero use its Taylor branch with f(0)=1f(0)=1.

Let Td,UdT_d,U_d be the Chebyshev polynomials, normalized by T0=1T_0=1, T1=xT_1=x, U−1=0U_{-1}=0, U0=1U_0=1, and the recurrence Sd+1=2xSd−Sd−1S_{d+1}=2xS_d-S_{d-1}. The associated Laurent expressions are the standard formulas [16], Equations (18.5.1)–(18.5.2). Since (w+w−1)/2=1/t(w+w^{-1})/2=1/t and (w−1−w)/2=f/t(w^{-1}-w)/2=f/t, Equation (3) becomes, with d=∣r−g∣d=|r-g|,

Pr=(1−t)htC−1Td(1/t),Dr=sgn⁡(r−g)(1−t)htC−1Ud−1(1/t).P_r=(1-t)^h t^{C-1}T_d(1/t),\qquad D_r=\operatorname{sgn}(r-g)(1-t)^h t^{C-1}U_{d-1}(1/t).

In particular these are integer polynomials; the second is zero when r=gr=g. The inequality d≤n−1−gd\le n-1-g gives

supp⁡Pr⊆{A,…,H−1},supp⁡Dr⊆{A+1,…,H−1}.(4)\operatorname{supp}P_r\subseteq\{A,\ldots,H-1\},\qquad\operatorname{supp}D_r\subseteq\{A+1,\ldots,H-1\}. \tag*{(4)}

Moreover w=t/2+O(t3)w=t/2+O(t^3), so that

tPrf−Dr=tRrf=O(tC+r−g)=O(tL).(5)\frac{tP_r}{f}-D_r=\frac{tR_r}{f}=O(t^{C+r-g})=O(t^L). \tag*{(5)}

For nonnegative integers i,ji,j, define

M(i,j)=∫−11∫01∣t∣f(t)tisj1−ts ds dt,Z(i,j)=∫01∫01tisj1−ts ds dt.(6)\begin{aligned} M(i,j)&=\int_{-1}^{1}\int_0^1\frac{|t|}{f(t)}\frac{t^i s^j}{1-ts}\,ds\,dt,\\ Z(i,j)&=\int_0^1\int_0^1\frac{t^i s^j}{1-ts}\,ds\,dt. \tag*{(6)} \end{aligned}

Extend these expressions bilinearly to polynomial arguments. The integrals converge absolutely. Indeed, for 0<u<10<u<1,

∫01ds1−us=−log⁡(1−u)u,\int_0^1\frac{ds}{1-us}=\frac{-\log(1-u)}{u},

and (−log⁡(1−u))/1−u2(-\log(1-u))/\sqrt{1-u^2} is integrable on (0,1)(0,1). This dominates the absolute MM integrand after integration in ss; the corresponding assertion for ZZ is weaker. Bounded polynomial factors preserve this domination. It also justifies termwise integration of the geometric series used below.

For each raw column index b≤j<Lb\le j<L, let

Fj(r)=M(Pr,j)−32Z(Dr,j)(0≤r<n).F_j(r)=M(P_r,j)-\frac{3}{2}Z(D_r,j)\qquad(0\le r<n).

The determinant used throughout the proof is

ΔN=det⁡0≤r,k<n(M(Pr,sb+k(1−s)q)−32Z(Dr,sb+k(1−s)q)).(7)\Delta_N=\det_{0\le r,k<n}\left(M\left(P_r,s^{b+k}(1-s)^q\right)-\frac{3}{2}Z\left(D_r,s^{b+k}(1-s)^q\right)\right). \tag*{(7)}

Thus, if F\mathcal{F} is the nn by n+qn+q matrix with columns FjF_j, the matrix in Equation (7) is FT\mathcal{F}T, where the integer matrix TT has entries

Tj,k=(−1)j−b−k(qj−b−k),b≤j<L,0≤k<n.(8)T_{j,k}=(-1)^{j-b-k}\binom{q}{j-b-k},\qquad b\le j<L,\quad0\le k<n. \tag*{(8)}

A binomial coefficient outside its usual range is zero. In particular, all raw columns required by the filter lie in the contact range j<Lj<L.

Moment evaluation and cancellation

Set

cl=4−l(2ll)(l≥0),mi=∫−11ti∣t∣f(t) dt={2(i+1)ci/2,i≥0 even,0,i≥0 odd,(9)c_l=4^{-l}\binom{2l}{l}\quad(l\ge0),\qquad m_i=\int_{-1}^{1}t^i\frac{\lvert t\rvert}{f(t)}\,dt= \begin{cases} \frac{2}{(i+1)c_{i/2}},&i\ge0\text{ even},\\ 0,&i\ge0\text{ odd}, \end{cases} \tag*{(9)}

and use the convention m−1=0m_{-1}=0. The moment formula follows from symmetry, m0=2m_0=2, and integration by parts, which gives (i+1)mi=imi−2(i+1)m_i=im_{i-2} for i≥1i\ge1. Throughout, czc_z means zero unless zz is a nonnegative integer. Termwise integration gives

M(i,j)=∑u≥0mi+uj+u+1,M(i,j)−M(i+1,j+1)=mij+1.(10)M(i,j)=\sum_{u\ge0}\frac{m_{i+u}}{j+u+1},\qquad M(i,j)-M(i+1,j+1)=\frac{m_i}{j+1}. \tag*{(10)}

Put Kd−=M(d,0)K_d^-=M(d,0) and Kd+=M(0,d)K_d^+=M(0,d). Their boundary recurrences are

dKd−=(d−1)Kd−2−+md−2+md−1(d≥2),dK_d^-=(d-1)K_{d-2}^-+m_{d-2}+m_{d-1}\qquad(d\ge2),
K1−=2,K_1^-=2,
(d−1)Kd+=(d−2)Kd−2++2d−1(d≥2).(11)(d-1)K_d^+=(d-2)K_{d-2}^++\frac{2}{d-1}\qquad(d\ge2). \tag*{(11)}

For the first recurrence, the moment recurrence gives the termwise identity

dmd+u−(d−1)md+u−2u+1=md+u−2−md+u.\frac{dm_{d+u}-(d-1)m_{d+u-2}}{u+1}=m_{d+u-2}-m_{d+u}.

The right side telescopes, since mv→0m_v\to0 as v→∞v\to\infty. The same identity for d=1d=1, with the term multiplied by d−1d-1 omitted, gives K1−=m−1+m0=2K_1^-=m_{-1}+m_0=2. For the last recurrence, shifting the first series by two leaves, for u≥2u\ge2, the terms

(d−1)mu−2−(d−2)mud+u−1=mu−2−mu.\frac{(d-1)m_{u-2}-(d-2)m_u}{d+u-1}=m_{u-2}-m_u.

Their sum is 22; the remaining boundary term is −2(d−2)/(d−1)-2(d-2)/(d-1), giving the claimed result. The two independent starting values are

K0−=K0+=4G,K1+=π24=32ζ(2).(12)K_0^-=K_0^+=4G,\qquad K_1^+=\frac{\pi^2}{4}=\frac{3}{2}\zeta(2). \tag*{(12)}

To verify the first, integrate in ss and put t=sin⁡θt=\sin\theta on the positive half interval. This gives

K0−=∫0π/2log⁡1+sin⁡θ1−sin⁡θ dθ=−4∫0π/4log⁡tan⁡v dv=4G.K^{-}_{0}=\int_{0}^{\pi/2}\log\frac{1+\sin\theta}{1-\sin\theta}\,\mathrm{d}\theta=-4\int_{0}^{\pi/4}\log\tan v\,\mathrm{d}v=4G.

The last equality follows on setting x=tan⁡vx=\tan v and integrating the geometric series for (1+x2)−1(1+x^{2})^{-1} against −log⁡x-\log x. For the other start, Equation (10) and Equation (9) yield

K1+=∑k≥112k2ck.K^{+}_{1}=\sum_{k\geq1}\frac{1}{2k^{2}c_{k}}.

The differential equation (1−x2)y′′−xy′=2(1-x^{2})y''-xy'=2, with y(0)=y′(0)=0y(0)=y'(0)=0, determines the Taylor series of y=(arcsin⁡x)2y=(\arcsin x)^{2} as ∑k≥1x2k/(2k2ck)\sum_{k\geq1}x^{2k}/(2k^{2}c_{k}). Its nonnegative coefficients allow passage to x=1x=1 by monotone convergence, giving π2/4\pi^{2}/4. For completeness, integrating

∑k≥1ρksin⁡(kx)k=Im⁡(−log⁡(1−ρeix)),0<ρ<1,\sum_{k\geq1}\frac{\rho^{k}\sin(kx)}{k}=\operatorname{Im}(-\log(1-\rho e^{ix})),\qquad0<\rho<1,

over 0<x<π0<x<\pi and letting ρ↑1\rho\uparrow1 gives 2∑k oddk−2=π2/42\sum_{k\ {\rm odd}}k^{-2}=\pi^{2}/4. Here the imaginary part is uniformly bounded and tends to (π−x)/2(\pi-x)/2, so dominated convergence applies. The odd sum is 3ζ(2)/43\zeta(2)/4, establishing the final equality in Equation (12).

Define M0(i,j)M^{0}(i,j) by the rational recurrences (10)–(11), replacing only the starts K0−=K0+K^{-}_{0}=K^{+}_{0} and K1+K^{+}_{1} by zero. More explicitly, let kd−,kd+k^{-}_{d},k^{+}_{d} satisfy Equation (11) with

k0−=k0+=k1+=0,k1−=2.(13)k^{-}_{0}=k^{+}_{0}=k^{+}_{1}=0,\qquad k^{-}_{1}=2. \tag*{(13)}

Then the following formulas specify the whole array without ambiguity:

M0(i,j)={ki−j−−∑k=1jmi−j+k−1k,i≥j,kj−i+−∑k=j−i+1jmk−(j−i)−1k,i<j.(14)M^{0}(i,j)= \begin{cases} k^{-}_{i-j}-\sum_{k=1}^{j}\frac{m_{i-j+k-1}}{k}, & i\geq j,\\[6pt] k^{+}_{j-i}-\sum_{k=j-i+1}^{j}\frac{m_{k-(j-i)-1}}{k}, & i<j. \end{cases} \tag*{(14)}

Empty sums are zero. We shall also use the algebraic convention

M0(−1,j)=kj+1+(j≥0);(15)M^{0}(-1,j)=k^{+}_{j+1}\qquad(j\geq0); \tag*{(15)}

this does not define an additional integral. Let Bi(d)=∑k=1ik−dB^{(d)}_{i}=\sum_{k=1}^{i}k^{-d}, with B0(d)=0B^{(d)}_{0}=0, and put

Z0(i,j)={−Bi(2),i=j,Bi(1)−Bj(1)i−j,i≠j.(16)Z^{0}(i,j)= \begin{cases} -B^{(2)}_{i}, & i=j,\\[4pt] \dfrac{B^{(1)}_{i}-B^{(1)}_{j}}{i-j}, & i\ne j. \end{cases} \tag*{(16)}

The evaluations of the moments are

M(i,j)=M0(i,j)+4Gc(i−j)/2+32ζ(2)c(j−i−1)/2,Z(i,j)=Z0(i,j)+[i=j]ζ(2).(17)\begin{aligned} M(i,j)&=M^{0}(i,j)+4Gc_{(i-j)/2}+\frac{3}{2}\zeta(2)c_{(j-i-1)/2},\\ Z(i,j)&=Z^{0}(i,j)+[i=j]\zeta(2). \tag*{(17)} \end{aligned}

Indeed, the homogeneous parts of the minus and plus boundary recurrences propagate the starts by precisely these two cc-kernels. Diagonal reduction preserves both index differences. The formula for ZZ follows from

Z(i,j)=∑u≥01(i+u+1)(j+u+1)Z(i,j)=\sum_{u\ge0}\frac{1}{(i+u+1)(j+u+1)}

by partial fractions when i≠ji\ne j, and directly when i=ji=j.

For later valuation calculations, it is useful to solve the rational boundary recurrences explicitly. Define

Hz∗={cz/2,z≥0 even,1zc(z−1)/2,z≥1 odd,Hz+2∗Hz∗=z+1z+2.(18)H_z^*= \begin{cases} c_{z/2}, & z\ge0\text{ even},\\ \frac{1}{z c_{(z-1)/2}}, & z\ge1\text{ odd}, \end{cases} \qquad \frac{H_{z+2}^*}{H_z^*}=\frac{z+1}{z+2}. \tag*{(18)}

Then

ku−={Hu∗∑1≤z≤uz even2z2(Hz∗)2,u even,Hu∗∑1≤z≤uz odd2z,u odd,ku+1+=Hu∗∑1≤z≤uz≡u (2)2z2Hz∗(u≥0).(19)\begin{aligned} k_u^-&= \begin{cases} H_u^*\sum_{\substack{1\le z\le u\\z\text{ even}}}\frac{2}{z^2(H_z^*)^2}, & u\text{ even},\\ H_u^*\sum_{\substack{1\le z\le u\\z\text{ odd}}}\frac{2}{z}, & u\text{ odd}, \end{cases}\\ k_{u+1}^+&=H_u^*\sum_{\substack{1\le z\le u\\z\equiv u\ (2)}}\frac{2}{z^2H_z^*}\qquad(u\ge0). \tag*{(19)} \end{aligned}

To see this, divide each recurrence by the appropriate H∗H^* and use the ratio in (18). For the minus recurrence the inhomogeneous increment after division is 2/(z2(Hz∗)2)2/(z^2(H_z^*)^2) when zz is even and 2/z2/z when zz is odd. The odd case starts with k1−/H1∗=2k_1^-/H_1^*=2. For the plus recurrence the increment is 2/(z2Hz∗)2/(z^2H_z^*), with initial values k1+=0k_1^+=0 and k2+=2k_2^+=2. This proves all the formulas, including their empty-sum cases.

Proposition 2.1. Each raw entry Fj(r)F_j(r) lies in Q+QG\mathbb{Q}+\mathbb{Q}G. Consequently, if G∈QG\in\mathbb{Q}, then ΔN∈Q\Delta_N\in\mathbb{Q} for every positive integer NN.

Proof. Since f(t)−1=∑l≥0clt2lf(t)^{-1}=\sum_{l\ge0}c_l t^{2l}, the coefficient of ζ(2)\zeta(2) in Fj(r)F_j(r) is

32(∑i[ti]Pr c(j−i−1)/2−[tj]Dr)=32[tj](tPrf−Dr)=0\frac{3}{2}\left(\sum_i [t^i]P_r\,c_{(j-i-1)/2}-[t^j]D_r\right)=\frac{3}{2}[t^j]\left(\frac{tP_r}{f}-D_r\right)=0

by Equation (5) and j<Lj<L. More explicitly,

Fj(r)=∑i[ti]Pr(M0(i,j)+4Gc(i−j)/2)−32∑i[ti]DrZ0(i,j).(20)F_j(r)=\sum_i[t^i]P_r\left(M^0(i,j)+4Gc_{(i-j)/2}\right)-\frac{3}{2}\sum_i[t^i]D_rZ^0(i,j). \tag*{(20)}

The assertion follows from the rational arrays and the integer filter.

A uniform estimate at the prime two

We normalize vp(p)=1v_p(p)=1 and set vp(0)=+∞v_p(0)=+\infty. In the rest of this section assume G∈QG\in\mathbb{Q}, viewed also in Q2\mathbb{Q}_2. Constants allowed to depend on this fixed rational number will carry a subscript GG.

Proposition 2.2. With δ=(q+g+h)/n=5/24\delta=(q+g+h)/n=5/24, one has, for every positive integer NN,

v2(ΔN)≥−(δ2+δ28)n2−OG(nlog⁡(n+2))=−5054608n2−OG(nlog⁡(n+2)).(21)v_2(\Delta_N)\geq-\left(\frac{\delta}{2}+\frac{\delta^2}{8}\right)n^2-O_G(n\log(n+2))=-\frac{505}{4608}n^2-O_G(n\log(n+2)). \tag*{(21)}

The same bound holds for every full minor of the raw column matrix.

Proof. We first construct a 2-adic version of the geometric moment series:

Ms(i,j)=∑k≥0mi+kj+k+1in Q2.(22)M_s(i,j)=\sum_{k\geq0}\frac{m_{i+k}}{j+k+1}\quad\text{in }\mathbb{Q}_2. \tag*{(22)}

For even uu, the factorial formula implies

v2(mu)=1+u−v2(uu/2)≥u+1−log⁡2(u+1).v_2(m_u)=1+u-v_2\binom{u}{u/2}\geq u+1-\log_2(u+1).

The last bound follows, for example, by subtracting the factorial-floor formulas: each binary place contributes at most one to the binomial valuation. Odd moments are zero. If 0≤i,j<H0\leq i,j<H, every nonzero term of (22) therefore has valuation at least

i+k+1−2log⁡2(H+k)≥i+1−2log⁡2H+k−2log⁡2(k+1)≥i−2log⁡2H−1.(23)i+k+1-2\log_2(H+k)\geq i+1-2\log_2 H+k-2\log_2(k+1)\geq i-2\log_2 H-1. \tag*{(23)}

The middle expression tends to infinity with kk. Thus the infinite tail converges, and the final bound is uniform over all its terms and over 0≤i,j<H0\leq i,j<H. In particular v2(Ms(i,j))≥i−2log⁡2H−1v_2(M_s(i,j))\geq i-2\log_2 H-1.

The diagonal recurrence and both boundary recurrences hold for MsM_s as well. The same finite telescoping calculations prove this because their tails tend to zero 2-adically. In particular its minus start at one is forced to be 2. There are therefore exactly two homogeneous discrepancies between MsM_s and the rational part M0(i,j)+4Gc(i−j)/2M^0(i,j)+4G c_{(i-j)/2}. Write

e1=4G−Ms(0,0),e2=−Ms(0,1).(24)e_1=4G-M_s(0,0),\qquad e_2=-M_s(0,1). \tag*{(24)}

These are fixed elements of Q2\mathbb{Q}_2, independent of NN and of all degree indices, and

M0(i,j)+4Gc(i−j)/2=Ms(i,j)+e1c(i−j)/2+e2c(j−i−1)/2.M^0(i,j)+4G c_{(i-j)/2}=M_s(i,j)+e_1c_{(i-j)/2}+e_2c_{(j-i-1)/2}.

Contracting the last kernel with PrP_r and applying (5) expresses each raw column as the sum of three column vectors:

Fj(r)=Sj(r)+Ej(r)+Bj(r),Sj(r)=Ms(Pr,j),Ej(r)=e1∑i[ti]Pr c(i−j)/2,Bj(r)=∑i[ti]Dr(e2[i=j]−32Z0(i,j)).(25)\begin{aligned} F_j(r)&=S_j(r)+E_j(r)+B_j(r),\\ S_j(r)&=M_s(P_r,j),\\ E_j(r)&=e_1\sum_i[t^i]P_r\,c_{(i-j)/2},\\ B_j(r)&=\sum_i[t^i]D_r\left(e_2[i=j]-\frac{3}{2}Z^0(i,j)\right). \tag*{(25)} \end{aligned}

If either discrepancy is zero, the corresponding summands vanish; there is no need to assign a finite valuation to a zero constant.

Here are the coefficient and denominator bounds needed for these columns. Remove the factor (1−t)h(1-t)^h and write the resulting polynomials as

Pr(t)(1−t)h=∑u≥0pr,utC−1−u,Dr(t)(1−t)h=∑u≥0dr,utC−1−u.(26)\frac{P_r(t)}{(1-t)^h}=\sum_{u\geq0}p_{r,u}t^{C-1-u},\qquad \frac{D_r(t)}{(1-t)^h}=\sum_{u\geq0}d_{r,u}t^{C-1-u}. \tag*{(26)}

All sums here are finite. Induction in the Chebyshev recurrence shows that the coefficient of xux^{u} in TdT_d has valuation at least u−1u-1 and that in UdU_d has valuation at least uu; the assertion at u=0u=0 uses only integrality. Hence

v2(pr,u)≥u−1,v2(dr,u)≥u−1.(27)v_2(p_{r,u}) \ge u-1,\qquad v_2(d_{r,u}) \ge u-1. \tag*{(27)}

Convolution with (1−t)h(1-t)^h uses integer coefficients. Combining Equations (23) and (27), every entry of SjS_j has valuation at least C−2log⁡2H−3C-2\log_2 H-3.

Set L2=⌊log⁡2H⌋L_2=\lfloor\log_2 H\rfloor. Equation (16) gives

v2(Z0(i,j))≥−2L2(0≤i,j<H).(28)v_2(Z^0(i,j)) \ge-2L_2 \qquad(0\le i,j<H). \tag*{(28)}

Indeed, the harmonic sum of order dd has valuation at least −dL2-dL_2; when i≠ji\ne j, division by i−ji-j loses at most another L2L_2. The ultrametric inequality introduces no loss for the number of terms in these sums or in polynomial convolutions.

Choose a fixed nonnegative integer KGK_G with v2(e1),v2(e2)≥−KGv_2(e_1),v_2(e_2)\ge-K_G. Let pu=(pr,u)r\mathbf{p}_u=(p_{r,u})_r and du=(dr,u)r\mathbf{d}_u=(d_{r,u})_r. The exceptional columns in Equation (25) have expansions

Ej=∑upu au,j,Bj=∑udu bu,j.E_j=\sum_u \mathbf{p}_u\,a_{u,j},\qquad B_j=\sum_u \mathbf{d}_u\,b_{u,j}.

where

au,j=e1∑v=0h(−1)v(hv)c(C−1−u+v−j)/2,a_{u,j}=e_1\sum_{v=0}^{h}(-1)^v\binom{h}{v}c_{(C-1-u+v-j)/2},
bu,j=∑v=0h(−1)v(hv)(e2[C−1−u+v=j]−32Z0(C−1−u+v,j)).b_{u,j}=\sum_{v=0}^{h}(-1)^v\binom{h}{v}\left(e_2[C-1-u+v=j]-\frac{3}{2}Z^0(C-1-u+v,j)\right).

Only uu with a nonzero coefficient vector need be included, so all moment indices in these expressions are between 00 and H−1H-1. Since v2(cl)≥−2lv_2(c_l)\ge-2l, every contributing summand yields

v2(au,j)≥u+j−H+1−KG,v2(bu,j)≥−2L2−1−KG.(29)v_2(a_{u,j})\ge u+j-H+1-K_G,\qquad v_2(b_{u,j})\ge-2L_2-1-K_G. \tag*{(29)}

We now apply the bounds in the order needed to preserve alternation. First expand det⁡(FT)\det(\mathcal{F}T) by Cauchy–Binet. Each term is an integer times a full raw minor, whose column indices j1,…,jnj_1,\ldots,j_n are distinct. Fix such a minor, expand each column by Equation (25), and consider a term containing mm columns of type EE, ll of type BB, and n−m−ln-m-l columns of type SS.

Expand the EE columns through the fixed vectors pu\mathbf{p}_u and the BB columns through the fixed vectors du\mathbf{d}_u. Repeated indices within the first group give equal coefficient vectors and hence zero determinants; the same holds within the second group. No distinctness between the two groups is asserted or needed. For nonzero terms we therefore have

∑E columnsu≥m(m−1)2,∑B columnsu≥l(l−1)2.\sum_{\text{\(E\) columns}}u\ge\frac{m(m-1)}{2},\qquad \sum_{\text{\(B\) columns}}u\ge\frac{l(l-1)}{2}.

The already fixed, distinct raw column indices also give

∑E columnsj≥mb+m(m−1)2.\sum_{\text{\(E\) columns}}j\ge mb+\frac{m(m-1)}{2}.

Equations (27) and (29) show that the first group contributes at least 2∑u+∑j−Hm−KGm2\sum u+\sum j-Hm-K_Gm. The second contributes at least ∑u−OG(llog⁡(H+2))\sum u-O_G(l\log(H+2)); the smoothed columns contribute at least C(n−m−l)−O((n−m−l)log⁡(H+2))C(n-m-l)-O((n-m-l)\log(H+2)). Thus every term, every raw minor, and finally the filtered determinant satisfies

v2(ΔN)≥−OG(nlog⁡(n+2))+min⁡m,l≥0m+l≤n{−(H−b)m+32m2+12l2+C(n−m−l)}.(30)v_2(\Delta_N) \ge-O_G(n\log(n+2))+\min_{\substack{m,l\ge0\\m+l\le n}}\left\{-(H-b)m+\frac{3}{2}m^2+\frac{1}{2}l^2+C(n-m-l)\right\}. \tag*{(30)}

Finite summation causes no further loss in valuation.

For completeness minimize over real m,lm,l; this can only lower the minimum over integer choices. Since C≥nC\ge n, the expression decreases as ll increases up to n−mn-m, so its minimum occurs at l=n−ml=n-m. Using H−b=n(1+δ)H-b=n(1+\delta), the remaining expression is

n22−(2+δ)nm+2m2=2(m−(2+δ)n4)2−(δ2+δ28)n2.\frac{n^2}{2}-(2+\delta)nm+2m^2 =2\left(m-\frac{(2+\delta)n}{4}\right)^2-\left(\frac{\delta}{2}+\frac{\delta^2}{8}\right)n^2.

This proves Equation (21) and the stated bound for each raw minor.

Odd primes and the finite-place lower bound

Throughout this section assume that G∈QG\in\mathbb{Q}, so that the columns FjF_j of Section 2 are rational. We regard each FjF_j as a column in Qn\mathbb{Q}^n. For an odd prime pp, reduction modulo pp always means reduction of a member of Zp\mathbb{Z}_p; in particular, every congruence below includes the assertion that its two sides are locally integral.

The raw matrix has n+qn+q columns, whereas the filtered determinant has size nn. At the large primes treated first, each raw column has at most two powers of pp in its denominator. We shall make invertible column changes over Zp\mathbb{Z}_p and bound how many columns can still have denominator p2p^2 or pp. Such bounds control every full minor of the raw matrix, and Cauchy–Binet then transfers them to the integer column filter. The first reduction identifies residues after multiplication by p2p^2; for p>H/2p>H/2 a second reduction identifies the remaining residues after multiplication by pp.

Digit reduction of the rational moments

We first prove the reductions needed at primes

2H<p≤H.2\sqrt{H}<p\le H.

We may suppose that pp does not divide the denominator of GG: as NN tends to infinity, every fixed denominator prime eventually lies below 2H2\sqrt{H}. Put

E(t)=(1−t2)(p−1)/2=∑d=0p−1Edtdin Fp[t],ϵ=(−1)(p−1)/2.E(t)=(1-t^2)^{(p-1)/2}=\sum_{d=0}^{p-1}E_d t^d\quad\text{in }\mathbb{F}_p[t],\qquad\epsilon=(-1)^{(p-1)/2}.

We set Ed=0E_d=0 outside 0≤d<p0\le d<p. Within this range,

Ed={cd/2(modp),d even,0,d odd,Ep−1−d=ϵEd.E_d= \begin{cases} c_{d/2}\pmod p, & d\ \text{even},\\ 0, & d\ \text{odd}, \end{cases} \qquad E_{p-1-d}=\epsilon E_d.

The first identity follows from (−1)k((p−1)/2k)≡4−k(2kk)(-1)^k\binom{(p-1)/2}{k}\equiv4^{-k}\binom{2k}{k}; the second follows by reversing the coefficients of EE.

Lemma 3.1 (Digit reductions). For 0≤i,j<H0 \le i,j < H, let

ℓ=jmod⁡p,d=(j−i−1)mod⁡p,i′=i+1+d−ℓp−1,j′=⌊jp⌋,0≤ℓ,d<p.\ell= j \mathbin{\operatorname{mod}} p,\qquad d = (j-i-1) \mathbin{\operatorname{mod}} p,\qquad i' = \frac{i+1+d-\ell}{p}-1,\qquad j' = \left\lfloor\frac{j}{p} \right\rfloor,\qquad0 \le\ell,d < p.

Then i′≥−1i' \ge-1, and, with the convention M0(−1,j′)=kj′+1+M^0(-1,j')=k^+_{j'+1},

p2M0(i,j)≡EdM0(i′,j′)(modp),p2Z0(i,j)≡{Z0(⌊i/p⌋,j′),i≡j(modp),0,i≢j(modp).(31)\begin{aligned} p^2M^0(i,j)&\equiv E_dM^0(i',j') \pmod p,\\ p^2Z^0(i,j)&\equiv \begin{cases} Z^0(\lfloor i/p\rfloor,j'),&i\equiv j\pmod p,\\ 0,&i\not\equiv j\pmod p. \end{cases} \tag*{(31)} \end{aligned}

Proof. We first give the parity and carry calculation for the factors Hz∗H_z^* in the explicit formulas of Section 2. Write z=Pp+rz=Pp+r, 0≤r<p0 \le r < p, 0≤z<H0 \le z < H. Since H<p2/4H < p^2/4, all factors at the reduced indices PP are pp-adic units. If zz is even, then

{Hz∗≡HP∗ϵcr/2(modp),r even,vp(Hz∗)=1,r odd.(32)\begin{cases} H_z^*\equiv H_P^*\epsilon^{c r/2}\pmod p,&r\text{ even},\\ v_p(H_z^*)=1,&r\text{ odd}. \tag*{(32)} \end{cases}

Indeed, when rr is even, PP is even and the base-pp digits of z/2z/2 are P/2,r/2P/2,r/2. Expanding (1+x)z(1+x)^z modulo pp by (1+x)p=1+xp(1+x)^p=1+x^p gives the first assertion, including the factor 4−z/24^{-z/2}. When rr is odd, PP is odd and the low digit of z/2z/2 is (p+r)/2(p+r)/2. The factorial formula for (zz/2)\binom{z}{z/2} has exactly one carry:

⌊zp⌋−2⌊z/2p⌋=1,\left\lfloor\frac{z}{p}\right\rfloor-2\left\lfloor\frac{z/2}{p}\right\rfloor=1,

and there is no contribution from p2p^2. Thus, for positive even zz, vp(zHz∗)v_p(zH_z^*) is either zero or one. It is one precisely when r=0r=0 or rr is odd.

For odd zz one has

1Hz∗∈Zp,pHz∗={ϵcr/2HP∗,r even,0,r odd.(33)\frac{1}{H_z^*}\in\mathbb{Z}_p,\qquad pH_z^*= \begin{cases} \epsilon^{c r/2}H_P^*,&r\text{ even},\\ 0,&r\text{ odd}. \end{cases} \tag*{(33)}

If rr is odd, both zz and c(z−1)/2c_{(z-1)/2} are units by the same digit calculation. If rr is even, PP is odd. At z=Ppz=Pp, digit expansion gives

c(Pp−1)/2≡c(P−1)/2c(p−1)/2=ϵc(P−1)/2,pHPp∗=ϵHP∗.c_{(Pp-1)/2}\equiv c_{(P-1)/2}c_{(p-1)/2}=\epsilon c_{(P-1)/2},\qquad pH_{Pp}^*=\epsilon H_P^*.

The recurrence Hz+2∗/Hz∗=(z+1)/(z+2)H_{z+2}^*/H_z^*=(z+1)/(z+2), applied through r=0,2,…,p−1r=0,2,\ldots,p-1, now proves the nonzero case of Equation (33). Its denominators on this interval are units. Since mz−1=2Hz∗m_{z-1}=2H_z^* for odd zz and is zero for even zz, these formulas imply

pmz−1≡Ep−1−rmP−1(modp).(34)pm_{z-1}\equiv E_{p-1-r}m_{P-1}\pmod p. \tag*{(34)}

This includes z=0z=0, using m−1=0m_{-1}=0.

We next reduce the two starting arrays. For u=Pp+ru=Pp+r, 0≤u<H0 \le u < H, we claim

p2ku−≡Ep−1−rkP−,p2ku+1+≡ErkP+1+(modp).(35)p^2k_u^-\equiv E_{p-1-r}k_P^-,\qquad p^2k_{u+1}^+\equiv E_rk_{P+1}^+\pmod p. \tag*{(35)}

For odd uu, write the first formula as

p2ku−=(pHu∗)∑1≤z≤uz odd2pz.p^2k_u^-=(pH_u^*)\sum_{\substack{1\le z\le u\\z\ \mathrm{odd}}}\frac{2p}{z}.

Only z=mpz=mp, with mm odd, survives in the sum. If rr is odd the first factor vanishes modulo pp. If rr is even, PP is odd and (33) gives ϵErHP∗∑m≤P,m odd2/m=Ep−1−rk∗\epsilon E_r H_P^* \sum_{\substack{m\le P,\,m\ \mathrm{odd}}} 2/m = E_{p-1-rk}^*, as required.

For even uu the quantities p/(zHz∗)p/(zH_z^*), for positive even z≤uz\le u, are integral. Thus

p2ku2=Hu∗∑1≤z≤uz even2(pzHz∗)2p^2 k_u^2 = H_u^* \sum_{\substack{1\le z\le u\\ z\ \mathrm{even}}} 2\left(\frac{p}{zH_z^*}\right)^2

is integral, and is zero modulo pp when rr is odd. If rr is even, then PP is even. The nonzero summands form precisely the complete blocks

z=mp−λ,m=2,4,…,P,λ=0,2,…,p−1.z=mp-\lambda,\qquad m=2,4,\ldots,P,\qquad\lambda=0,2,\ldots,p-1.

To see completeness, the indices with z mod pz\bmod p odd lie immediately below an even multiple mpmp, while that multiple supplies λ=0\lambda=0. The upper limit u=Pp+ru=Pp+r contains the whole block ending at PpPp, and the next such block begins at (P+1)p+1>u(P+1)p+1>u. No partial block is present. The recurrence, started at mpmp and followed downwards, gives

p(mp−λ)Hmp−λ∗≡cλ/2mHm∗(modp).\frac{p}{(mp-\lambda)H_{mp-\lambda}^*}\equiv\frac{c_{\lambda/2}}{mH_m^*}\pmod p.

For example, each downward step from zz to z−2z-2 multiplies this quantity by (z−1)/(z−2)(z-1)/(z-2); these multipliers give successively (2j−1)/(2j)(2j-1)/(2j) modulo pp. Finally, with s=(p−1)/2s=(p-1)/2,

∑j=0scj2=∑j=0s(sj)2=(2ss)≡(−1)s=ϵ(modp).\sum_{j=0}^{s}c_j^2=\sum_{j=0}^{s}\binom{s}{j}^2=\binom{2s}{s}\equiv(-1)^s=\epsilon\pmod p.

The equality is the coefficient identity obtained from (1+x)s(1+x)s(1+x)^s(1+x)^s. Multiplying the block sums by Hu∗≡ErHP∗H_u^*\equiv E_rH_P^* proves the first congruence of (35) also for even uu.

For the second congruence, suppose first that uu is even. In

p2ku+1+=Hu∗∑1≤z≤uz≡u (2)2p2z2Hz∗p^2k_{u+1}^+ = H_u^*\sum_{\substack{1\le z\le u\\ z\equiv u\ (2)}}\frac{2p^2}{z^2H_z^*}

every term with p∤zp\nmid z vanishes modulo pp, because vp(Hz∗)≤1v_p(H_z^*)\le1. At z=mpz=mp, necessarily mm is even and Hmp∗≡Hm∗H_{mp}^*\equiv H_m^*. The result is ErkP+1+E_rk_{P+1}^+ when rr is even, and zero when rr is odd. For odd uu instead write the expression as

(pHu∗)∑1≤z≤uz odd2pz2Hz∗.(pH_u^*)\sum_{\substack{1\le z\le u\\ z\ \mathrm{odd}}}\frac{2p}{z^2H_z^*}.

The reciprocal 1/Hz∗1/H_z^* is integral. Again only multiples z=mpz=mp can survive; there pHmp∗≡ϵHm∗pH_{mp}^*\equiv\epsilon H_m^*, and the two factors of ϵ\epsilon cancel. If rr is odd the prefactor is zero. This proves the second congruence in every case and also proves the local integrality asserted in (35).

If i≥ji\ge j, put u=i−j=Pp+ru=i-j=Pp+r. Then d=p−1−rd=p-1-r and i′=j′+Pi'=j'+P. The diagonal reduction is

M0(i,j)=ku−−∑k=1jmu+k−1k.M^0(i,j)=k_u^- - \sum_{k=1}^{j}\frac{m_{u+k-1}}{k}.

After multiplication by p2p^2, terms with p∤kp \nmid k vanish by (34). At k=mpk=mp the surviving term is Ep−1−rmP+m−1/mE_{p-1-r}mP+m-1/m. The first starting congruence therefore gives

p2M0(i,j)≡Ep−1−r(kPp−∑m=1j′mP+m−1m)=EdM0(i′,j′).p^2M^0(i,j) \equiv E_{p-1-r}\left(k_P^p-\sum_{m=1}^{j'}\frac{mP+m-1}{m}\right)=E_dM^0(i',j').

If i<ji<j, put u=j−i−1=Pp+ru=j-i-1=Pp+r, so d=rd=r and i′=j′−P−1i'=j'-P-1. Now

M0(i,j)=ku+1+−∑k=u+2jmk−u−2k.M^0(i,j)=k_{u+1}^+-\sum_{k=u+2}^{j}\frac{m_{k-u-2}}{k}.

For a multiple k=mpk=mp in the sum,

k−u−1=(m−P−1)p+(p−1−r).k-u-1=(m-P-1)p+(p-1-r).

(34) gives the reduced summand Ermm−P−2/mE_rm_{m-P-2}/m. A possible first multiple with m=P+1m=P+1 contributes zero, since its reduced moment is m−1m_{-1}. Thus the reduced sum is over m=P+2,…,j′m=P+2,\ldots,j', as in the formula for M0(i′,j′)M^0(i',j'). The expression for i′i' is also i′=⌊(i−ℓ)/p⌋i'=\lfloor(i-\ell)/p\rfloor, so i′≥−1i'\geq-1. When i′=−1i'=-1, j′=Pj'=P, the sum is empty and the starting term is exactly kj′+1+=M0(−1,j′)k_{j'+1}^+=M^0(-1,j'). This proves the first assertion of (31), including its boundary convention. The reduced array indices are less than H/p<p/4H/p<p/4; even the boundary index j′+1j'+1 is less than pp. Thus the explicit rational formulas show that all quantities on its right side are integral at pp.

For Z0Z^0, write I=⌊i/p⌋I=\lfloor i/p\rfloor and J=⌊j/p⌋J=\lfloor j/p\rfloor. Because i,j<p2i,j<p^2, the harmonic sums satisfy

pBi(1)≡BI(1),p2Bi(2)≡BI(2)(modp).pB_i^{(1)}\equiv B_I^{(1)},\qquad p^2B_i^{(2)}\equiv B_I^{(2)}\pmod p.

The diagonal formula follows at once. Off the diagonal, if i≢j(modp)i\not\equiv j\pmod p, the denominator i−ji-j is a unit and p2Z0(i,j)p^2Z^0(i,j) is zero modulo pp. If the residues agree, i−j=p(I−J)i-j=p(I-J) with I−JI-J a unit; substituting the first harmonic congruence gives Z0(I,J)Z^0(I,J). This also proves integrality of p2Z0(i,j)p^2Z^0(i,j).

The leading layer and paired raw columns

We now gather the moment reductions into column vectors. This will identify pairs of raw columns whose sum has at most one power of pp in its denominator. For a fixed residue 0≤ℓ<p0\leq\ell<p, define column vectors over Fp\mathbb{F}_p by

Pu′=[t(u+1)p+ℓ] tP(t)E(t)(u≥−1),Du′=[tup+ℓ] D(t)(u≥0).P'_u=[t^{(u+1)p+\ell}]\,tP(t)E(t)\quad(u\geq-1),\qquad D'_u=[t^{up+\ell}]\,D(t)\quad(u\geq0).

Here P,DP,D denote the vectors of all row polynomials; the dependence of these extracted vectors on ℓ\ell is understood. Their supports are finite. Lemma 3.1, gathered by coefficient residue, gives

Xkp+ℓ:=p2Fkp+ℓ mod p=∑u≥−1Pu′M0(u,k)−32∑u≥0Du′Z0(u,k).(36)X_{kp+\ell}:=p^2F_{kp+\ell}\bmod p=\sum_{u\geq-1}P'_uM^0(u,k)-\frac{3}{2}\sum_{u\geq0}D'_uZ^0(u,k). \tag*{(36)}

For a term [ti]P[t^i]P, its unique residue dd satisfies i+1+d=(i′+1)p+ℓi+1+d=(i'+1)p+\ell, so that it contributes exactly to Pi′′P'_{i'}, including i′=−1i'=-1. The Z0Z^0 reduction survives only when i=up+ℓi=up+\ell, which is precisely the extraction defining Du′D'_u. The coefficient of GG in FjF_j is a sum of integral multiples of c(i−j)/2c_{(i-j)/2}. These coefficients are integral at every odd prime, so this term disappears after multiplication by p2p^2. Every raw column therefore lies in p−2Zpnp^{-2}\mathbb{Z}_p^n.

If ℓ≥H−2p\ell\ge H - 2p, the degree bounds deg⁡(tPE)≤H+p−1\deg(tPE) \le H + p - 1 and deg⁡D<H\deg D < H show that Pu′,Du′P'_u,D'_u vanish for u>1u > 1. Put

Vℓ=2P1′−32D1′,Uℓ=2P−1′−32D0′.V_\ell= 2P'_1 - \frac{3}{2}D'_1,\qquad U_\ell= 2P'_{-1} - \frac{3}{2}D'_0.

The needed small values of the reduced arrays are

u−101M0(u,0)002M0(u,1)20−2u01Z0(u,0)01Z0(u,1)1−1\begin{array}{c|ccc} & u & -1 & 0 & 1 \\ \hline M^0(u,0) & 0 & 0 & 2 \\ M^0(u,1) & 2 & 0 & -2 \end{array} \qquad \begin{array}{c|cc} & u & 0 & 1 \\ \hline Z^0(u,0) & 0 & 1 \\ Z^0(u,1) & 1 & -1 \end{array}

Consequently, whenever the indicated columns exist,

Xℓ=Vℓ,Xp+ℓ=Uℓ−Vℓ.(37)X_\ell= V_\ell,\qquad X_{p+\ell} = U_\ell- V_\ell. \tag*{(37)}

Since tPtP and DD have no terms below degree A+1A+1, Uℓ=0U_\ell= 0 for ℓ≤A\ell\le A.

We record explicitly how changes in the full column pool will be used. Let TT be the nn by (n+q)(n+q) matrix of all raw columns. If Q∈GL⁡n+q(Zp)Q \in\operatorname{GL}_{n+q}(\mathbb{Z}_p) and every full minor of TQTQ has valuation at least −D-D, the same holds for every full minor of T=(TQ)Q−1T = (TQ)Q^{-1} by Cauchy–Binet. The coefficients in this expansion are minors of the integral matrix Q−1Q^{-1}. Applying Cauchy–Binet once more to the integer matrix defining the prescribed filter gives vp(ΔN)≥−Dv_p(\Delta_N) \ge-D. This transfer applies even when the columns or their leading residues are linearly dependent.

For 2H<p≤H/22\sqrt{H} < p \le H/2, use each pair of columns with

max⁡(b,H−2p)≤ℓ<min⁡(p,L−p,A).\max(b,H-2p) \le\ell< \min(p,L-p,A).

Their number is exactly

d0=(min⁡(p,L−p,A)−max⁡(b,H−2p))+,y+=max⁡(y,0).d_0 = \left(\min(p,L-p,A)-\max(b,H-2p)\right)_+,\qquad y_+ = \max(y,0).

Replacing its high column by the sum of the pair is an integral elementary column operation with integral inverse. The pair sum lies in p−1Zpnp^{-1}\mathbb{Z}_p^n by (37); all other columns still lie in p−2Zpnp^{-2}\mathbb{Z}_p^n. These pairs are disjoint, since ℓ<p\ell< p. Any selection of nn columns from the pool of n+qn+q contains at least (d0−q)+(d_0-q)_+ of the improved columns. The transfer just explained gives

vp(ΔN)≥−2n+(d0−q)+.(38)v_p(\Delta_N) \ge-2n + (d_0-q)_+. \tag*{(38)}

The central layer and integral column elimination

For p>H/2p > H/2, the next lemma identifies the residues of central columns after multiplication by pp. It expresses them in terms of the same vectors VℓV_\ell that occur in the leading residues of noncentral columns. The elimination proof will retain noncentral columns and use pp times those columns to cancel the corresponding VℓV_\ell terms.

Lemma 3.2 (Central layer). Suppose H/2<p≤HH/2 < p \le H, and write K=L−pK = L-p and J=H−pJ = H-p. For every central column, by which we mean

b≤j<min⁡(p,L),j≥J,b \le j < \min(p,L),\qquad j \ge J,

one has

pFj∈Zpn,pFj≡−∑0≤ℓ<JVℓj−ℓ(modp).(39)pF_j \in\mathbb{Z}_p^n,\qquad pF_j \equiv-\sum_{0\le\ell<J}\frac{V_\ell}{j-\ell}\pmod p. \tag*{(39)}

All denominators j−ℓj-\ell occurring here are units at $p.

Proof. For every contributing row degree 0≤i<H0 \le i < H, i−j≤H−1−J=p−1i-j \le H-1-J=p-1 and j−i<pj-i<p. Hence ∣i−j∣<p|i-j|<p, and the starting value ki−j−k_{i-j}^{-} or kj−i+k_{j-i}^{+} in the diagonal reduction is integral at pp. In either case that reduction can be written as the starting value minus

∑0≤ℓ<min⁡(i,j)mi−ℓ−1j−ℓ.\sum_{0\le\ell<\min(i,j)}\frac{m_{i-\ell-1}}{j-\ell}.

Here 1≤j−ℓ<p1\le j-\ell<p. By Equation (34), a nonzero reduction after multiplication by pp requires p≤i−ℓ<2pp\le i-\ell<2p, and then

pmi−ℓ−1≡2E2p+ℓ−1−i.pm_{i-\ell-1}\equiv2E_{2p+\ell-1-i}.

Such an index necessarily has 0≤ℓ<J0\le\ell<J. Conversely its coefficient can be collected over all ii with no truncation, since j≥J>ℓj\ge J>\ell and i≥p+ℓ>ℓi\ge p+\ell>\ell. Thus

pM0(P,j)≡−∑0≤ℓ<J2Pℓ′j−ℓ.pM^{0}(P,j)\equiv-\sum_{0\le\ell<J}\frac{2P'_{\ell}}{j-\ell}.

The extracted vector Pℓ′P'_{\ell} in each summand is the one belonging to that residue ℓ\ell. For Z0(i,j)Z^{0}(i,j), the harmonic sums have a pole only if i=p+ℓi=p+\ell with 0≤ℓ<J0\le\ell<J. The denominator i−ji-j is then a unit: equality modulo pp would require j=ℓ<Jj=\ell<J. Therefore

pZ0(p+ℓ,j)≡1ℓ−j.pZ^{0}(p+\ell,j)\equiv\frac{1}{\ell-j}.

All other Z0(i,j)Z^{0}(i,j) are integral. Combining these two calculations with the factor −3/2-3/2 proves Equation (39); the GG term is integral here as before.

We now carry out these cancellations in the full column pool. In the resulting pool, RR will count the retained columns with possible denominator p2p^{2}, and SS will bound the number of other columns with possible denominator pp; every remaining column will be integral. The proof first uses the VℓV_{\ell} supplied by retained noncentral columns to modify the central columns. We then use the rank of their remaining scaled residues to bound the number of central columns that can still have denominator pp after an invertible column change.

Lemma 3.3 (Elimination over the local integers). For H/2<p≤HH/2<p\le H, define

R=K++(K−A)++(J−max⁡(b,K))+,R=K_{+}+(K-A)_{+}+(J-\max(b,K))_{+},
S=(min⁡(A,K)−b)++(min⁡(b,J)−max⁡(0,K))+.S=(\min(A,K)-b)_{+}+(\min(b,J)-\max(0,K))_{+}.

Then every full raw minor, and hence the filtered determinant, satisfies

vp(ΔN)≥−min⁡(2n,n+R,2R+S).(40)v_{p}(\Delta_{N})\ge-\min(2n,n+R,2R+S). \tag*{(40)}

Proof. The noncentral columns are precisely the high columns Fp+ℓF_{p+\ell} for 0≤ℓ<K0\le\ell<K and the low columns FℓF_{\ell} for b≤ℓ<Jb\le\ell<J. Empty ranges are allowed. Indeed p>bp>b, J<pJ<p, and K<JK<J. For

b≤ℓ<min⁡(A,K)b\le\ell<\min(A,K)

retain the low column and replace the high column by Fp+ℓ+FℓF_{p+\ell}+F_{\ell}. Let

B=(min⁡(A,K)−b)+B=(\min(A,K)-b)_{+}

be the number of these pair sums. Each lies in p−1Zpnp^{-1}\mathbb{Z}_p^n. Retain every other noncentral column as a column in p−2Zpnp^{-2}\mathbb{Z}_p^n, whether or not its leading residue depends on the others. The number of columns so retained is

R0=K++(J−b)+−B.(41)R_0 = K_+ + (J-b)_+ - B. \tag*{(41)}

It equals the stated RR. To verify the identity, split KK into K≤0K \le0, 0<K≤b0 < K \le b, b<K≤Ab < K \le A, and K>AK > A; use K<JK < J in the last two cases. The resulting formulas are respectively (J−b)+(J-b)_+, K+(J−b)+K + (J-b)_+, JJ, and K+J−AK + J - A.

These retained columns furnish a representative of every vector VℓV_\ell with 0≤ℓ<J0 \le\ell< J except possibly those in

E={ℓ:max⁡(0,K)≤ℓ<min⁡(b,J)}.\mathcal{E} = \{\ell: \max(0,K) \le\ell< \min(b,J)\}.

For b≤ℓ<Jb \le\ell< J, the retained low column has leading residue p2Fℓ≡Vℓp^2F_\ell\equiv V_\ell. For 0≤ℓ<min⁡(b,K)0 \le\ell< \min(b,K), the unpaired high column has leading residue −Vℓ-V_\ell, because ℓ<b<A\ell< b < A makes Uℓ=0U_\ell= 0. These two ranges exhaust the complement of E\mathcal{E}. Denote the size of E\mathcal{E} by

e=∣E∣=(min⁡(b,J)−max⁡(0,K))+.e = |\mathcal{E}| = \bigl(\min(b,J) - \max(0,K)\bigr)_+.

For each represented residue choose a retained column YℓY_\ell and a sign σℓ∈{1,−1}\sigma_\ell\in\{1,-1\} such that p2Yℓ≡σℓVℓp^2Y_\ell\equiv\sigma_\ell V_\ell. For every central jj, choose aℓj∈Zpa_{\ell j} \in\mathbb{Z}_p reducing to σℓ/(j−ℓ)\sigma_\ell/(j-\ell) and replace that column by

Cj=Fj+p∑0≤ℓ<Jℓ∉EaℓjYℓ.C_j = F_j + p\sum_{\substack{0 \le\ell< J\\ \ell\notin\mathcal{E}}} a_{\ell j}Y_\ell.

This is a shear of the whole column pool with integral coefficients and inverse obtained by changing the signs of the added coefficients. It preserves every retained column and every pair sum. The resulting central columns lie in p−1Zpnp^{-1}\mathbb{Z}_p^n and satisfy

pCj≡−∑ℓ∈EVℓj−ℓ(modp).pC_j \equiv-\sum_{\ell\in\mathcal{E}} \frac{V_\ell}{j-\ell} \pmod p.

This step does not require any information about the next coefficient of YℓY_\ell. Explicitly, if Yℓ=p−2y0+p−1y1+y2Y_\ell= p^{-2}y_0 + p^{-1}y_1 + y_2 with integral lifts y0,y1,y2y_0,y_1,y_2, then pYℓ=p−1y0+y1+py2pY_\ell= p^{-1}y_0 + y_1 + py_2; its unknown second coefficient is already integral.

Let cc be the number of central columns. Their scaled residues define a linear map

φ:Fpc⟶Fpn,(aj)j⟼∑jaj(pCj mod p).\varphi: \mathbb{F}_p^c \longrightarrow\mathbb{F}_p^n,\qquad (a_j)_j \longmapsto\sum_j a_j(pC_j \bmod p).

Its image is contained in the span of the ee exceptional vectors, so d:=rank⁡φ≤min⁡(c,e)d := \operatorname{rank}\varphi\le\min(c,e). Choose a basis of Fpc\mathbb{F}_p^c whose last c−dc-d vectors form a basis of ker⁡φ\ker\varphi. Lift its basis matrix arbitrarily to a matrix W∈Mat⁡c(Zp)W \in\operatorname{Mat}_c(\mathbb{Z}_p). Its determinant is a unit, so W∈GL⁡c(Zp)W \in\operatorname{GL}_c(\mathbb{Z}_p) and the adjugate formula gives W−1∈Mat⁡c(Zp)W^{-1} \in\operatorname{Mat}_c(\mathbb{Z}_p). Applying this change to the central columns leaves at most dd columns in p−1Zpnp^{-1}\mathbb{Z}_p^n; the other c−dc-d are integral, because their scaled residues vanish and they already belonged to p−1Zpnp^{-1}\mathbb{Z}_p^n. If c=0c=0 this step is the empty identity.

The resulting full pool consequently contains RR columns with possible denominator p2p^2, at most B+d≤B+e=SB+d \le B+e = S other columns with possible denominator pp, and integral remaining columns. No noncentral column was discarded, nor was its denominator reduced on the strength of a leading linear dependence. In a full minor, if rr columns come from the first group and ss from the second, the loss is at most 2r+s2r+s. The inequalities

2r+s≤2n,2r+s≤n+R,2r+s≤2R+S2r+s \le2n,\qquad2r+s \le n+R,\qquad2r+s \le2R+S

hold since r+s≤nr+s\le n, r≤Rr\le R, and s≤Ss\le S. All changes used above and their inverses are integral, so the Cauchy–Binet transfer proves Equation (40) for all original full minors and for ΔN\Delta_N.

The omission of the optional pair at ℓ=A\ell=A is harmless: its physical column is included in RR. The preceding proof also covers K≤0K\le0 and J≤bJ\le b. In particular, if L≤p≤HL\le p\le H, there are no high or low noncentral columns, R=0R=0, and S=H−pS=H-p; all raw columns are central. At the formal endpoint p=Hp=H, all of them are integral.

Summing the prime losses

For a nonzero rational determinant, the valuations weighted by log⁡p\log p sum to its ordinary logarithmic absolute value. We now combine the odd-prime estimates with the bound at 22 to obtain the lower bound used in the final comparison.

Proposition 3.4 (Finite-place bound). Assume G∈QG\in\mathbb{Q}. Along any sequence of positive integers N→∞N\to\infty for which ΔN≠0\Delta_N\ne0, one has

lim inf⁡N→∞(log⁡∣ΔN∣n2−12log⁡2)≥−86094608−(12+5054608)log⁡2>−2.29084.(42)\liminf_{N\to\infty}\left(\frac{\log|\Delta_N|}{n^2}-\frac{1}{2}\log2\right)\ge-\frac{8609}{4608}-\left(\frac{1}{2}+\frac{505}{4608}\right)\log2>-2.29084. \tag*{(42)}

Proof. We first compute the complete loss function. Put x=p/Nx=p/N. For x≤65/2x\le65/2, Equation (38) has

d0N=(min⁡(x,59−x,19)−max⁡(7,65−2x))+.\frac{d_0}{N}=\left(\min(x,59-x,19)-\max(7,65-2x)\right)_+.

For 0≤x≤230\le x\le23 this is zero; for 23≤x≤2923\le x\le29 it is 2x−462x-46; and for 29≤x≤65/229\le x\le65/2 it is 1212. Only the part exceeding q/N=4q/N=4 improves a full minor. For x>65/2x>65/2, the formulas of Lemma 3.3 give the following values; the table retains the intermediate breakpoint 5252 at which the counting formula changes:

The entries agree at their common endpoints. Taking min⁡(96,48+R/N,2R/N+S/N)\min(96,48+R/N,2R/N+S/N) yields the additional breakpoint 69/269/2. Thus for every relevant prime p>2Hp>2\sqrt{H} the valuation is bounded below by −Nd(p/N)-N d(p/N), where dd is continuous, is zero for x≥65x\ge65, and has the following exact pieces:

In particular,

∫065d(x) dx=86092.(43)\int_{0}^{65} d(x)\,\mathrm{d}x = \frac{8609}{2}. \tag*{(43)}

For completeness, the omitted small odd primes cost only o(n2)o(n^2) in the logarithm of the determinant. At any odd prime, the factorial formula gives

0≤vp(2ll)≤1+log⁡Hlog⁡p(2l≤H).0 \le v_p\binom{2l}{l} \le1+\frac{\log H}{\log p}\qquad(2l\le H).

Each factorial-floor difference is zero or one. The displayed formulas for Hz∗H_z^*, mim_i, kd±k_d^{\pm}, Z0Z^0, and diagonal reduction then give, with an absolute constant C0C_0 and with den⁡G\operatorname{den} G denoting the positive reduced denominator of GG,

vp(Fj(r))≥−C0(1+log⁡Hlog⁡p)−vp(den⁡G).v_p(F_j(r)) \ge-C_0\left(1+\frac{\log H}{\log p}\right)-v_p(\operatorname{den}G).

For instance, each summand in ku−k_u^- uses at most two powers of zz and two powers of Hz∗H_z^* in its denominator; no additional loss arises from summing. All row and filter coefficients are integers. Expanding a determinant therefore multiplies this entry bound by at most nn, and summing it over p≤2Hp\le2\sqrt{H} with weights log⁡p\log p gives

O(nHlog⁡H+nlog⁡(den⁡G))=o(n2).O(n\sqrt{H}\log H+n\log(\operatorname{den}G))=o(n^2).

This estimate uses only that the number of such primes is at most 2H2\sqrt{H}. For sufficiently large NN, every prime p>Hp>H is integral throughout the calculation: factorials and degree denominators introduce only prime factors at most HH, and the fixed denominator of GG has no prime factor above HH. Thus these primes give no negative contribution.

We use the classical prime number theorem in the form

θ(y):=∑p≤ylog⁡p∼y(y→∞);\theta(y):=\sum_{p\le y}\log p\sim y\qquad(y\to\infty);

see [25], Step VI, p. 707, which presents Newman’s analytic proof. The weighted consequence needed here follows directly:

1N∑p≤65Nd(p/N)log⁡p⟶∫065d(x) dx.(44)\frac{1}{N}\sum_{p\le65N}d(p/N)\log p\longrightarrow\int_{0}^{65}d(x)\,\mathrm{d}x. \tag*{(44)}

Here is a direct justification of the weight. For a fixed partition 0=x0<⋯<xm=650=x_0<\cdots<x_m=65, the prime number theorem gives

θ(Nxj)−θ(Nxj−1)N⟶xj−xj−1.\frac{\theta(Nx_j)-\theta(Nx_{j-1})}{N}\longrightarrow x_j-x_{j-1}.

Upper and lower step functions formed from the supremum and infimum of dd on each interval bound the weighted sum. Their limiting difference tends to zero as the mesh decreases, since dd is uniformly continuous. Individual partition endpoints change the sum by at most O(log⁡N/N)O(\log N/N). This proves Equation (44). The prime 2 and the primes below 2H2\sqrt{H} may be removed from that sum at cost o(1)o(1), using ∥d∥∞=96\lVert d\rVert_\infty=96 and the elementary bound θ(2H)≤2Hlog⁡(2H)\theta(2\sqrt{H})\le2\sqrt{H}\log(2\sqrt{H}).

Combining these estimates with Equation (43) and n2=2304N2n^2=2304N^2 gives

∑p oddvp(ΔN)log⁡p≥−86094608n2−o(n2).\sum_{p\ \mathrm{odd}}v_p(\Delta_N)\log p\ge-\frac{8609}{4608}n^2-o(n^2).

Proposition 2.2, with δ=10/48\delta= 10/48, gives

v2(ΔN)≥−(δ2+δ28)n2−o(n2)=−5054608n2−o(n2).v_2(\Delta_N) \ge-\left(\frac{\delta}{2}+\frac{\delta^2}{8}\right)n^2-o(n^2)=-\frac{505}{4608}n^2-o(n^2).

For a nonzero rational number its numerator and denominator factorizations give the exact identity

log⁡∣ΔN∣=∑pvp(ΔN)log⁡p.\log|\Delta_N|=\sum_p v_p(\Delta_N)\log p.

Subtracting 12log⁡2\frac{1}{2}\log2 after dividing by n2n^2 proves the non-strict inequality in Equation (42).

The final numerical comparison also has a short rational check. The identity

log⁡2=2∑j=0∞3−(2j+1)2j+1\log2=2\sum_{j=0}^{\infty}\frac{3^{-(2j+1)}}{2j+1}

and its positive geometric tail give

log⁡2≤2∑j=053−(2j+1)2j+1+2⋅3−1313(1−3−2)<693149106.\log2\leq2\sum_{j=0}^{5}\frac{3^{-(2j+1)}}{2j+1}+\frac{2\cdot3^{-13}}{13(1-3^{-2})}<\frac{693149}{10^6}.

Consequently the lower constant is strictly larger than

−86094608−28094608693149106=−105560555414608000000>−2.29084,-\frac{8609}{4608}-\frac{2809}{4608}\frac{693149}{10^6} =-\frac{10556055541}{4608000000}>-2.29084,

which completes the proof.

Nonvanishing along the prime sequence

The next proposition supplies the nonzero determinants needed in Proposition 3.4.

Proposition 4.1. Assume that G∈QG\in\mathbb{Q}. For every sufficiently large prime pp, the determinant with scale parameter N=pN=p satisfies

vp(Δp)=−96p.(45)v_p(\Delta_p)=-96p. \tag*{(45)}

In particular, Δp≠0\Delta_p\ne0 for every sufficiently large prime pp.

We prove the proposition by reducing a matrix of size 48p48p to three fixed rational matrices of size 4848. Throughout this section, an underlined row polynomial is formed with N=1N=1, so that

n0=48,b0=7,q0=g0=4,h0=2,L0=59,C0=63,H0=65.n_0=48,\qquad b_0=7,\qquad q_0=g_0=4,\qquad h_0=2,\qquad L_0=59,\qquad C_0=63,\qquad H_0=65.

In addition to the usual rows 0,…,470,\ldots,47, define the auxiliary row 48 by exactly the formulas in Equation (3). For 0≤r≤480\leq r\leq48 and 0≤k<480\leq k<48, put

B(r,k)=∑j=04(−1)j(4j){M0(P‾r,7+k+j)−32Z0(D‾r,7+k+j)}.(46)\mathcal{B}(r,k)=\sum_{j=0}^{4}(-1)^j\binom{4}{j}\left\{M^0(\underline{P}_r,7+k+j)-\frac{3}{2}Z^0(\underline{D}_r,7+k+j)\right\}. \tag*{(46)}

Here M0M^0 and Z0Z^0 act linearly on the first polynomial argument. Thus B\mathcal{B} is a fixed rational 4949 by 4848 matrix. Define

B0=(B(r,k))0≤r,k<48,B1=(B(r+1,k))0≤r,k<48.\mathcal{B}_0=\bigl(\mathcal{B}(r,k)\bigr)_{0\leq r,k<48},\qquad \mathcal{B}_1=\bigl(\mathcal{B}(r+1,k)\bigr)_{0\leq r,k<48}.

The arithmetic certificate below proves

det⁡B0≠0,det⁡(B0+B1)≠0,det⁡(B0−B1)≠0.(47)\det\mathcal{B}_0\ne0,\qquad\det(\mathcal{B}_0+\mathcal{B}_1)\ne0,\qquad\det(\mathcal{B}_0-\mathcal{B}_1)\ne0. \tag*{(47)}

First we show why these three fixed assertions imply the proposition.

Two palindromic bases

Let pp be an odd prime and work over Fp\mathbb{F}_p. The vector space

Pp={Q∈Fp[w]:deg⁡Q≤2p−2, w2p−2Q(1/w)=Q(w)}\mathcal{P}_p=\{Q\in\mathbb{F}_p[w]:\deg Q\le2p-2,\ w^{2p-2}Q(1/w)=Q(w)\}

has dimension pp: its coefficients of w0,…,wp−1w^0,\ldots,w^{p-1} determine all its coefficients. For 0≤ℓ,i<p0\le\ell,i<p, consider

Uℓ(w)=(2w)ℓ(1+w2)p−1−ℓ,Qi(w)=wi∑j=0p−i−1w2j.U_\ell(w)=(2w)^\ell(1+w^2)^{p-1-\ell},\qquad Q_i(w)=w^i\sum_{j=0}^{p-i-1}w^{2j}.

Both families belong to Pp\mathcal{P}_p. The lowest terms of UℓU_\ell and QiQ_i are respectively 2ℓwℓ2^\ell w^\ell and wiw^i. Triangularity of their coefficients in degrees 0,…,p−10,\ldots,p-1 proves that each family is a basis. Define aℓi∈Fpa_{\ell i}\in\mathbb{F}_p by

Qi=∑ℓ=0p−1aℓiUℓ,a=(aℓi)0≤ℓ,i<p.Q_i=\sum_{\ell=0}^{p-1}a_{\ell i}U_\ell,\qquad\mathbf{a}=(a_{\ell i})_{0\le\ell,i<p}.

The same lowest-term comparison gives

aℓi=0(ℓ<i),aii=2−i,det⁡a=2−p(p−1)/2≠0.(48)a_{\ell i}=0\quad(\ell<i),\qquad a_{ii}=2^{-i},\qquad\det\mathbf{a}=2^{-p(p-1)/2}\ne0. \tag*{(48)}

In particular, invertibility of this varying-size matrix introduces no exceptional odd primes.

Define Q0′=0Q'_0=0 and Qi′=Qp−iQ'_i=Q_{p-i} for 1≤i<p1\le i<p, and write Qi′=∑ℓbℓiUℓQ'_i=\sum_\ell b_{\ell i}U_\ell. Equivalently,

b=aΠ,Πe0=0,Πei=ep−i(1≤i<p),(49)\mathbf{b}=\mathbf{a}\boldsymbol{\Pi},\qquad\boldsymbol{\Pi}e_0=0,\qquad\boldsymbol{\Pi}e_i=e_{p-i}\quad(1\le i<p), \tag*{(49)}

where eie_i are the standard coordinate vectors. The explicit forms are

Qi=wi1−w2(p−i)1−w2,Qi′=wp−i1−w2i1−w2;Q_i=w^i\frac{1-w^{2(p-i)}}{1-w^2},\qquad Q'_i=w^{p-i}\frac{1-w^{2i}}{1-w^2};

the latter formula gives zero also when i=0i=0. Their sum satisfies

Qi+wpQi′=wi∑j=0p−1w2j=wi(1−w2)p−1,Q_i+w^pQ'_i=w^i\sum_{j=0}^{p-1}w^{2j}=w^i(1-w^2)^{p-1},

because (p−1j)=(−1)j\binom{p-1}{j}=(-1)^j in Fp\mathbb{F}_p. With

t=2w1+w2,f=1−w21+w2,E(t)=(1−t2)(p−1)/2=fp−1,t=\frac{2w}{1+w^2},\qquad f=\frac{1-w^2}{1+w^2},\qquad E(t)=(1-t^2)^{(p-1)/2}=f^{p-1},

division by (1+w2)p−1(1+w^2)^{p-1} therefore proves the rational-function identity

E(t)wi=∑ℓ=0p−1tℓ(aℓi+bℓiwp).(50)E(t)w^i=\sum_{\ell=0}^{p-1}t^\ell(a_{\ell i}+b_{\ell i}w^p). \tag*{(50)}

Frobenius and the two extraction shifts

Set N=pN=p, and write every row index uniquely as r=pr0+ir=pr_0+i, with 0≤r0<480\le r_0<48 and 0≤i<p0\le i<p. Put t′=tpt'=t^p, w′=wpw'=w^p, and f′=fpf'=f^p. Frobenius gives

t′=2w′1+(w′)2,f′=1−(w′)21+(w′)2,(f′)2=1−(t′)2.t'=\frac{2w'}{1+(w')^2},\qquad f'=\frac{1-(w')^2}{1+(w')^2},\qquad(f')^2=1-(t')^2.

Using C=63pC=63p, h=2ph=2p, and g=4pg=4p in the row definition gives

tRrE(t)=(1−t′)2(t′)63(w′)r0−4E(t)wi=∑ℓ=0p−1tℓt′(aℓiRr0(t′,w′)+bℓiRr0+1(t′,w′)).(51)\begin{aligned} tR_rE(t)=(1-t')^2(t')^{63}(w')^{r_0-4}E(t)w^i \\ &=\sum_{\ell=0}^{p-1}t^\ell t'\left(a_{\ell i}R_{r_0}(t',w')+b_{\ell i}R_{r_0+1}(t',w')\right). \tag*{(51)} \end{aligned}

Here the single factor w′w' in the second term creates exactly one successor row; its index is at most 48.

To separate the polynomial parts, star fixes t,t′t,t' and negates f,f′f,f'. Moreover fE=f′fE=f', so the row identities give

tRrE=tPrE−f′Dr,t′Rj=t′Pj−f′Dj.tR_rE=tP_rE-f'D_r,\qquad t'R_j=t'P_j-f'D_j.

Taking the star-invariant part of Equation (51) and then its anti-invariant part, and cancelling the nonzero rational function f′f' in the latter, yields two separate polynomial identities:

tPr(t)E(t)=∑ℓ=0p−1tℓt′(aℓiPr0(t′)+bℓiPr0+1(t′)),(52)tP_r(t)E(t)=\sum_{\ell=0}^{p-1}t^\ell t'\left(a_{\ell i}P_{r_0}(t')+b_{\ell i}P_{r_0+1}(t')\right), \tag*{(52)}
Dr(t)=∑ℓ=0p−1tℓ(aℓiDr0(t′)+bℓiDr0+1(t′)).(53)D_r(t)=\sum_{\ell=0}^{p-1}t^\ell\left(a_{\ell i}D_{r_0}(t')+b_{\ell i}D_{r_0+1}(t')\right). \tag*{(53)}

These are polynomial identities since the row polynomials on both sides are polynomials, and substitution t=2w/(1+w2)t=2w/(1+w^2) is injective on Fp[t]\mathbb{F}_p[t].

In the notation of (36), the extractions for a fixed residue ℓ\ell are

Pu′=[t(u+1)p+ℓ]tPr(t)E(t),Du′=[tup+ℓ]Dr(t).P'_u=[t^{(u+1)p+\ell}]tP_r(t)E(t),\qquad D'_u=[t^{up+\ell}]D_r(t).

Every polynomial has a unique expression ∑ℓ=0p−1tℓAℓ(tp)\sum_{\ell=0}^{p-1}t^\ell A_\ell(t^p). Consequently Equations (52) and (53) give

(Pu′,Du′)=[(t′)u]{aℓi(Pr0,Dr0)(t′)+bℓi(Pr0+1,Dr0+1)(t′)}.(54)(P'_u,D'_u)=[(t')^u]\{a_{\ell i}(P_{r_0},D_{r_0})(t')+b_{\ell i}(P_{r_0+1},D_{r_0+1})(t')\}. \tag*{(54)}

Thus the t′t' in the first identity is exactly consumed by the u+1u+1 in the PP extraction. The DD extraction has no such shift. Negative coefficient indices are zero; in particular P−1′=0P'_{-1}=0 here.

There is a degree issue at the last successor row which is useful to make explicit. The auxiliary polynomials have

min⁡deg⁡P48=62−44=18,min⁡deg⁡D48=63−44=19.(55)\min\deg P_{48}=62-44=18,\qquad\min\deg D_{48}=63-44=19. \tag*{(55)}

These coefficients must be retained, even though the first 48 base rows have minimum degrees at least 19 and 20. For the last block r=47p+ir=47p+i, i>0i>0, (49) gives bℓi=aℓ,p−i=0b_{\ell i}=a_{\ell,p-i}=0 for ℓ<p−i\ell<p-i, and bp−i,i=2−(p−i)≠0b_{p-i,i}=2^{-(p-i)}\ne0. The successor contribution in either tPrEtP_rE or DrD_r therefore starts at

19p+(p−i)=20p−i.19p+(p-i)=20p-i.

The first-row contribution starts no earlier than 20p+i20p+i. Directly from the original rows, ∣r−g∣=43p+i|r-g|=43p+i, so tPrtP_r and DrD_r also start at C−∣r−g∣=20p−iC-|r-g|=20p-i; since E(0)=1E(0)=1, this agrees with the extraction. The leading Chebyshev coefficients are powers of 22, hence are nonzero in odd characteristic. When i=0i=0, the successor term is zero and the first term starts at 20p20p. The lower degree of the auxiliary row therefore introduces no forbidden coefficient into the growing matrix. Its contact identity is also valid: tR48/f=O(t107)tR_{48}/f=O(t^{107}), since 63+48−4=107>5963+48-4=107>59.

The residue blocks and their determinant

For this paragraph take p>260p>260 and exclude primes dividing the denominator of the hypothesized rational number GG. Then

p>265p=2H,p>2\sqrt{65p}=2\sqrt{H},

so Equations (31) and (36) apply at the same prime pp used as the scale parameter. To spell out the role of GG, the rational raw entry is

Fj(r)=M0(Pr,j)−32Z0(Dr,j)+4G∑v[tv]Prc(v−j)/2.F_j(r)=M^0(P_r,j)-\frac{3}{2}Z^0(D_r,j)+4G\sum_v [t^v]P_r c_{(v-j)/2}.

The last sum is pp-integral: its polynomial coefficients are integers, and every cd=4−d(2dd)c_d=4^{-d}\binom{2d}{d} is integral at an odd prime. The GG term therefore reduces to zero after multiplication by p2p^2. All entries of the scaled matrix are pp-integral by the cited layer formulas. Substitution of Equation (54) into Equation (36) gives the reduced raw entry

p2Fkp+ℓ(pr0+i)≡aℓi{M0(Pr0,k)−32Z0(Dr0,k)}+bℓi{M0(Pr0+1,k)−32Z0(Dr0+1,k)}(modp).(56)p^2F_{kp+\ell}(pr_0+i)\equiv a_{\ell i}\left\{M^0(P_{r_0},k)-\frac{3}{2}Z^0(D_{r_0},k)\right\} +b_{\ell i}\left\{M^0(P_{r_0+1},k)-\frac{3}{2}Z^0(D_{r_0+1},k)\right\}\pmod p. \tag*{(56)}

This applies to every raw column in the specified range. The base entries here have denominators with prime factors at most 6565, as the rational recipes below also show, so their reductions exist for p>260p>260.

The integer filter also respects residues. Write the column index uniquely as k=ℓ+pk0k=\ell+pk_0, where 0≤ℓ<p0\leq\ell<p and 0≤k0<480\leq k_0<48. In Fp[s]\mathbb{F}_p[s],

s7p+k(1−s)4p=sℓ(sp)7+k0(1−sp)4.(57)s^{7p+k}(1-s)^{4p}=s^\ell(s^p)^{7+k_0}(1-s^p)^4. \tag*{(57)}

Multiplying each raw entry by p2p^2 before reduction makes this polynomial congruence applicable to the column operation: coefficient differences divisible by pp multiply integral scaled entries. The fourth finite difference on the right uses exactly the five base raw indices 7+k0,…,11+k07+k_0,\ldots,11+k_0, all in 7,…,587,\ldots,58. Each of the pp residue groups thus contains exactly 48 base filtered columns, and no operation changes ℓ\ell.

Order rows by (i,r0)(i,r_0) and columns by (ℓ,k0)(\ell,k_0). The reduction of the scaled 48p48p by 48p48p matrix has (i,ℓ)(i,\ell) block

aℓiB0+bℓiB1.a_{\ell i}B_0+b_{\ell i}B_1.

Writing this matrix as Lp\mathcal{L}_p makes its orientation explicit:

Lp=aT⊗B0+bT⊗B1,Lp((aT)−1⊗I48)=Ip⊗B0+ΠT⊗B1.(58)\begin{aligned} \mathcal{L}_p&=\mathbf{a}^{T}\otimes B_0+\mathbf{b}^{T}\otimes B_1,\\ \mathcal{L}_p\left((\mathbf{a}^{T})^{-1}\otimes I_{48}\right)&=I_p\otimes B_0+\Pi^{T}\otimes B_1. \tag*{(58)} \end{aligned}

Indeed bT=ΠTaT\mathbf{b}^{T} = \Pi^{T}\mathbf{a}^{T}, which explains both the transpose and the side of multiplication.

The nonzero indices 1,…,p−11,\ldots,p-1 fall into (p−1)/2(p-1)/2 disjoint pairs {i,p−i}\{i,p-i\}. On each pair the vectors ei+ep−i\mathbf{e}_i+\mathbf{e}_{p-i} and ei−ep−i\mathbf{e}_i-\mathbf{e}_{p-i} are eigenvectors of Π\Pi with eigenvalues 11 and −1-1. Together with e0\mathbf{e}_0, of eigenvalue zero, they form a basis since 22 is invertible. Thus the eigenvalue multiplicities of ΠT\Pi^{T} are 1,(p−1)/2,(p−1)/21,(p-1)/2,(p-1)/2 for 0,1,−10,1,-1, respectively. A similarity on the pp-dimensional factor in (58) now proves the exact identity in this block ordering:

det⁡Lp=(det⁡a)48det⁡B0⋅det⁡(B0+B1)(p−1)/2det⁡(B0−B1)(p−1)/2.(59)\det\mathcal{L}_p = (\det\mathbf{a})^{48}\det\mathcal{B}_0 \cdot\det(\mathcal{B}_0+\mathcal{B}_1)^{(p-1)/2}\det(\mathcal{B}_0-\mathcal{B}_1)^{(p-1)/2}. \tag*{(59)}

There is no determinant factor from the similarity. Returning to the original row and column orders changes at most the sign.

An exact certificate for the fixed matrices

All entries in (46) can be constructed by the following rational arithmetic. This also specifies their reduction modulo 101101 without any numerical approximation. First form m0=2m_0=2, mi=0m_i=0 for odd ii, and mi=imi−2/(i+1)m_i=im_{i-2}/(i+1) for even 2≤i≤642\leq i\leq64. Set

k0−=0,k1−=2,k0+=k1+=0.k_0^{-}=0,\qquad k_1^{-}=2,\qquad k_0^{+}=k_1^{+}=0.

and use

kd−=(d−1)kd−2−+md−2+md−1d(2≤d≤64),k_d^{-}=\frac{(d-1)k_{d-2}^{-}+m_{d-2}+m_{d-1}}{d}\qquad(2\leq d\leq64),
kd+=(d−2)kd−2++2/(d−1)d−1(2≤d≤58).k_d^{+}=\frac{(d-2)k_{d-2}^{+}+2/(d-1)}{d-1}\qquad(2\leq d\leq58).

On 0≤i≤640\leq i\leq64, 0≤j≤580\leq j\leq58, form

Yi0=ki−,Y0j=kj+,Yij=Yi−1,j−1−mi−1j(i,j≥1).Y_{i0}=k_i^{-},\qquad Y_{0j}=k_j^{+},\qquad Y_{ij}=Y_{i-1,j-1}-\frac{m_{i-1}}{j}\qquad(i,j\geq1).

Thus Yij=M0(i,j)Y_{ij}=M^{0}(i,j). With Bi(d)=∑u=1iu−dB_i^{(d)}=\sum_{u=1}^{i}u^{-d} and B0(d)=0B_0^{(d)}=0, set

Jij=32{−Bi(2),i=j,(Bi(1)−Bj(1))/(i−j),i≠j.J_{ij}=\frac{3}{2} \begin{cases} -B_i^{(2)}, & i=j,\\ \left(B_i^{(1)}-B_j^{(1)}\right)/(i-j), & i\ne j. \end{cases}

This gives Jij=32Z0(i,j)J_{ij}=\frac{3}{2}Z^{0}(i,j), with the sign on its diagonal included.

For the polynomial construction define

E0=t62,E1=t61,I0=0,I1=t62,E_0=t^{62},\qquad E_1=t^{61},\qquad I_0=0,\qquad I_1=t^{62},

and, for either family S=E,IS=E,I, use

Sm=2Sm−1/t−Sm−2(2≤m≤44).S_m=2S_{m-1}/t-S_{m-2}\qquad(2\leq m\leq44).

These are ordinary integer polynomials: they are Em=t62Tm(1/t)E_m=t^{62}T_m(1/t) and Im=t62Um−1(1/t)I_m=t^{62}U_{m-1}(1/t). For 0≤r≤480\leq r\leq48 let u=∣r−4∣u=\lvert r-4\rvert and form the coefficient vectors, in degrees 0,…,640,\ldots,64, of

yr(t)=(1−t)2Eu(t),zr(t)=sign⁡(r−4)(1−t)2Iu(t).y_r(t)=(1-t)^2E_u(t),\qquad z_r(t)=\operatorname{sign}(r-4)(1-t)^2I_u(t).

They are exactly PrP_r and DrD_r. Contract them with the arrays to obtain the length-52 vector

vr(j)=∑i=064([ti]yrYij−[ti]zrJij),j=7,…,58.v_r(j)=\sum_{i=0}^{64}\left([t^i]y_rY_{ij}-[t^i]z_rJ_{ij}\right),\qquad j=7,\ldots,58.

Replace a vector vv four times successively by its vector of consecutive differences (v(j)−v(j+1))j(v(j)-v(j+1))_j. The resulting length-48 vector is row rr of BB. In particular, the construction includes all coefficients of the auxiliary row, including its degree-18 term.

Every scalar denominator in these recipes is a product of nonzero integers of absolute value at most 65. Every rational array entry therefore has denominator prime factors at most 65, so each denominator is a unit modulo 101. Polynomial division by tt above shifts exponents of polynomials divisible by tt and introduces no scalar denominator. Consequently the entire construction can be performed over F101\mathbb{F}_{101} and agrees with reduction of the rational matrices.

For completeness, the elimination rule producing the certificate is as follows. For σ∈{0,1,−1}\sigma\in\{0,1,-1\}, start with row vectors Ri=B(i,⋅)+σB(i+1,⋅)R_i=B(i,\cdot)+\sigma B(i+1,\cdot), 0≤i<480\leq i<48, in increasing order. At step ii, if Ri(i)=0R_i(i)=0, swap row ii with the first later row having a nonzero entry in column ii. Record di=Ri(i)d_i=R_i(i) and replace every row j>ij>i by

Rj−Rj(i)diRi.R_j-\frac{R_j(i)}{d_i}R_i.

There are no swaps for σ=0,−1\sigma=0,-1. For σ=1\sigma=1 the only swaps, using indices starting at zero, are (30,31)(30,31) and (45,46)(45,46) at their respective steps. The pivots are given in Table 1; its three lines for each σ\sigma list the pivots consecutively, with 16 entries per line.

xx rangeR/NR/NS/NS/N
[65/2,40][65/2,40]105−2x105-2x1212
[40,52][40,52]65−x65-x52−x52-x
[52,58][52,58]117−2x117-2xx−52x-52
[58,59][58,59]59−x59-x66
[59,65][59,65]0065−x65-x

Table 1.

σ\sigmaSuccessive pivots in F101\mathbb{F}_{101}
060, 68, 62, 79, 47, 32, 69, 57, 30, 72, 35, 66, 43, 20, 85, 48 88, 4, 77, 54, 60, 79, 26, 68, 83, 39, 40, 65, 1, 68, 78, 24 15, 98, 32, 22, 94, 9, 99, 10, 15, 75, 4, 2, 25, 53, 90, 79
138, 51, 90, 70, 5, 21, 88, 55, 45, 20, 35, 41, 77, 10, 18, 25 76, 14, 38, 72, 6, 66, 56, 35, 83, 58, 56, 11, 17, 20, 30, 24 28, 11, 25, 70, 79, 99, 66, 38, 4, 41, 63, 91, 63, 17, 90, 98
−1-182, 92, 26, 87, 21, 74, 87, 88, 88, 3, 14, 23, 38, 58, 36, 20 26, 33, 94, 74, 78, 45, 93, 86, 73, 66, 45, 30, 61, 3, 88, 27 20, 58, 69, 48, 78, 39, 48, 1, 66, 18, 86, 93, 52, 92, 39, 77

Table 1 (PDF p. 24). Exact Gaussian pivots for B0+σB1B_0+\sigma B_1 modulo 101.

Every listed pivot is nonzero. Since the swaps and row additions are invertible, all three matrices are invertible modulo 101 and hence have nonzero determinants over Q\mathbb{Q}. This proves (47). The modulus 101 is used only for this fixed finite certificate; the growing determinant uses arbitrary sufficiently large primes as follows.

Completion of the proof of Proposition 4.1. Let E\mathcal{E} consist of 2, the primes dividing the denominator of GG, the primes dividing any denominator of an entry of BB, and the primes dividing the numerator or denominator, in lowest terms, of any of the three nonzero rational determinants in Equation (47). This is a fixed finite set. For p>260p>260 outside E\mathcal{E}, all three fixed matrices reduce to invertible matrices over Fp\mathbb{F}_p. Equation (48) and the factorization in Equation (59) then show that det⁡Lp≠0\det\mathcal{L}_p\ne0.

Let Fp\mathcal{F}_p be the original filtered matrix whose determinant is Δp\Delta_p. Its size is n=48pn=48p, and p2Fpp^2\mathcal{F}_p is integral over the local ring Z(p)\mathbb{Z}_{(p)}. Its reduction, after the stated row and column permutations, is Lp\mathcal{L}_p. Therefore

p2nΔp=det⁡(p2Fp)p^{2n}\Delta_p=\det(p^2\mathcal{F}_p)

is a unit in Z(p)\mathbb{Z}_{(p)}. This proves vp(Δp)=−2n=−96pv_p(\Delta_p)=-2n=-96p. Every sufficiently large prime is outside E\mathcal{E} and exceeds 260, as required.

The real-place determinant estimates

We estimate the determinant defined in (7) without a rationality assumption. Write

α=an=1148,β=bn=748,γ=gn=qn=448,η=hn=248,D∗=n−1−2g=40N−1.(60)\begin{aligned} \alpha&= \frac{a}{n}=\frac{11}{48}, \qquad\beta=\frac{b}{n}=\frac{7}{48}, \qquad\gamma=\frac{g}{n}=\frac{q}{n}=\frac{4}{48}, \qquad\eta=\frac{h}{n}=\frac{2}{48},\\ D_* &= n-1-2g=40N-1. \tag*{(60)} \end{aligned}

In particular, 0<D∗<n0<D_*<n and n≥48n\geq48. For a real list yy of length nn, let

V(y)=∏i<j(yj−yi),V(y)=∣V(y)∣.V(y)=\prod_{i<j}(y_j-y_i), \qquad\mathcal{V}(y)=\lvert V(y)\rvert.

All constants in the estimates of this Section are independent of the locations and separations of the integration variables.

The integral and its two sheets

Put dμ(t)=∣t∣ dt/f(t)d\mu(t)=\lvert t\rvert\,dt/f(t) on (−1,1)(-1,1), and set

Ar(t)=Pr(t)−321{t>0}f(t)tDr(t),ψk(s)=sb+k(1−s)q.A_r(t)=P_r(t)-\frac{3}{2}\mathbf{1}_{\{t>0\}}\frac{f(t)}{t}D_r(t), \qquad\psi_k(s)=s^{b+k}(1-s)^q.

The value at t=0t=0 is immaterial; the displayed expression has a finite limit there because Dr(t)/tD_r(t)/t is a polynomial. The determinant entries are exactly

∫−11∫01Ar(t)ψk(s)1−ts ds dμ(t).\int_{-1}^{1}\int_{0}^{1} A_r(t)\frac{\psi_k(s)}{1-ts}\,ds\,d\mu(t).

The measure has mass μ((−1,1))=2\mu((-1,1))=2. The scalar majorant ∫ ⁣∫(1−∣t∣s)−1 ds dμ(t)\int\!\int(1-\lvert t\rvert s)^{-1}\,ds\,d\mu(t) is finite: integration in ss gives at worst a logarithmic singularity at ∣t∣=1\lvert t\rvert=1, which is integrable against (1−t2)−1/2dt(1-t^2)^{-1/2}dt. The functions ArA_r and ψk\psi_k are bounded for each fixed nn. Thus all permutation expansions below are absolutely integrable.

We apply Andréief’s determinant integration identity twice [10] (eq:1.7 and Section 2.2). Expanding determinants and relabeling integration variables gives the identity

ΔN=1(n!)2∫(−1,1)n∫(0,1)ndet⁡[Ar(ti)]r,idet⁡[11−tisj]i,jdet⁡[ψk(sj)]j,k ds dμn(t).(61)\Delta_N=\frac{1}{(n!)^2}\int_{(-1,1)^n}\int_{(0,1)^n}\det[A_r(t_i)]_{r,i}\det\left[\frac{1}{1-t_i s_j}\right]_{i,j}\det[\psi_k(s_j)]_{j,k}\,ds\,d\mu^n(t). \tag*{(61)}

Here 0≤r,k<n0\leq r,k<n and 1≤i,j≤n1\leq i,j\leq n. To see the factor 1/n!1/n! at each application directly, expand the two determinants sharing an integration list: every one of the n!n! permutations of that list gives the same determinant of single integrals. Fubini’s theorem applies by the preceding majorant, also after each permutation expansion.

Cauchy’s double alternant in multiplicative variables [12] (Section 2.1, eq:2.7) is

det⁡[11−tisj]i,j=V(t)V(s)∏i,j(1−tisj).(62)\det\left[\frac{1}{1-t_i s_j}\right]_{i,j}=\frac{V(t)V(s)}{\prod_{i,j}(1-t_i s_j)}. \tag*{(62)}

For completeness, multiplying by the denominator gives a polynomial alternating separately in tt and ss, of degree at most n−1n-1 in each individual variable. Dividing by V(t)V(s)V(t)V(s) therefore leaves a constant. Expanding (1−tisj)−1(1-t_i s_j)^{-1} at s=0s=0, the first nonzero homogeneous part of the determinant is V(t)V(s)V(t)V(s), so that constant is one. Also det⁡[ψk(sj)]j,k=V(s)∏jsjb(1−sj)q\det[\psi_k(s_j)]_{j,k}=V(s)\prod_j s_j^b(1-s_j)^q.

Use the real coordinate

xi=ti1+1−ti2,ti=2xi1+xi2,dμ(ti)=4∣xi∣(1+xi2)2 dxi.(63)x_i=\frac{t_i}{1+\sqrt{1-t_i^2}},\qquad t_i=\frac{2x_i}{1+x_i^2},\qquad d\mu(t_i)=\frac{4|x_i|}{(1+x_i^2)^2}\,dx_i. \tag*{(63)}

The coordinate maps (−1,1)(-1,1) bijectively to (−1,1)(-1,1). Except on a set of measure zero we may assume that all xix_i are distinct and nonzero. Define

(ξf(x),ξn(x))={(1/2,1/2),x<0,(−1/4,5/4),x>0,Rn(x)=det⁡[ξf(xi)xig−r+ξn(xi)xir−g]r,i.(\xi_{\mathrm f}(x),\xi_{\mathrm n}(x))= \begin{cases} (1/2,1/2), & x<0,\\ (-1/4,5/4), & x>0, \end{cases} \qquad R_n(x)=\det\left[\xi_{\mathrm f}(x_i)x_i^{g-r}+\xi_{\mathrm n}(x_i)x_i^{r-g}\right]_{r,i}.

The subscripts n and f refer to the near and far evaluations at xix_i and 1/xi1/x_i, respectively, inside and outside the unit circle. Indeed, fDr/t=(Rr∗−Rr)/2fD_r/t=(R_r^*-R_r)/2, so the negative half-interval has the row (Rr+Rr∗)/2(R_r+R_r^*)/2, whereas the positive half-interval has (5Rr−Rr∗)/4(5R_r-R_r^*)/4. Factoring (1−ti)htiC−1(1-t_i)^h t_i^{C-1} out of the iith column therefore gives the exact identity

ΔN=1(n!)2∬Rn(x)V(t)V(s)2∏i,j(1−tisj)∏jsjb(1−sj)q∏itiC−1(1−ti)h ds dμn(t).(64)\Delta_N=\frac{1}{(n!)^2}\iint R_n(x)\frac{V(t)V(s)^2}{\prod_{i,j}(1-t_i s_j)}\prod_j s_j^b(1-s_j)^q\prod_i t_i^{C-1}(1-t_i)^h\,ds\,d\mu^n(t). \tag*{(64)}

In particular, there is one tt Vandermonde and two ss Vandermondes. All the denominators in this formula are positive.

A uniform interpolating function

The interpolation problem comes from factoring out the far-sheet weight. Put ci=ξn(xi)/ξf(xi)c_i=\xi_{\mathrm n}(x_i)/\xi_{\mathrm f}(x_i); the denominator is nonzero on both half-intervals. For 0≤r<n0\le r<n,

ξf(xi)xig−r+ξn(xi)xir−g=ξf(xi)xig−(n−1)(xin−1−r+cixiD∗+r).(65)\xi_{\mathrm f}(x_i)x_i^{g-r}+\xi_{\mathrm n}(x_i)x_i^{r-g} =\xi_{\mathrm f}(x_i)x_i^{g-(n-1)}\left(x_i^{n-1-r}+c_i x_i^{D_*+r}\right). \tag*{(65)}

Thus a holomorphic function with values h∗(xi)=cixiD∗h_*(x_i)=c_i x_i^{D_*} turns the expression in parentheses into xin−1−r+h∗(xi)xirx_i^{n-1-r}+h_*(x_i)x_i^r. We shall bound the resulting evaluation determinant by controlling the norm of this function. The first estimate applies when

∑i=1n1−xi21+xi2≤D∗.(66)\sum_{i=1}^{n}\frac{1-x_i^2}{1+x_i^2}\le D_*. \tag*{(66)}

The following construction is uniform even when the nodes cluster.

Lemma 5.1. Let x1,…,xnx_1,\ldots,x_n be distinct nonzero real numbers in (−1,1)(-1,1) satisfying (66). There is a function h∗h_* holomorphic on a neighborhood of the closed unit disk such that

h∗(xi)=cixiD∗,ci={1,xi<0,−5,xi>0,sup⁡∣z∣≤1∣h∗(z)∣≤K0n,K0=10e12.h_*(x_i)=c_i x_i^{D_*},\qquad c_i= \begin{cases} 1, & x_i<0,\\ -5, & x_i>0, \end{cases} \qquad \sup_{|z|\le1}|h_*(z)|\le K_0n,\qquad K_0=10e^{12}.

The neighborhood may depend on the node list; the displayed bound does not.

Proof. Set

B(z)=∏iz−xi1−xiz,F(z)=zD∗B(z).B(z)=\prod_i\frac{z-x_i}{1-x_i z},\qquad F(z)=\frac{z^{D_*}}{B(z)}.

For 0<u≤10<u\le1 and a real xx with 0<∣x∣<10<|x|<1, the logarithmic derivative of one factor on the imaginary diameter is

ddlog⁡u12log⁡u2+x21+x2u2=(1−x4)u2(u2+x2)(1+x2u2)≤1−x21+x2.\frac{d}{d\log u}\frac{1}{2}\log\frac{u^2+x^2}{1+x^2u^2} =\frac{(1-x^4)u^2}{(u^2+x^2)(1+x^2u^2)} \le\frac{1-x^2}{1+x^2}.

The inequality follows on dividing the denominator by u2u^2 and using u2+u−2≥2u^2+u^{-2}\ge2. Integration from uu to 11 gives

∣B(iu)∣≥u∑i(1−xi2)/(1+xi2)≥uD∗.|B(iu)|\ge u^{\sum_i(1-x_i^2)/(1+x_i^2)}\ge u^{D_*}.

The same holds at −iu-iu, and F(0)=0F(0)=0. For 1≤u≤1+2/n1\le u\le1+2/n, each factor has modulus at least one because (u2+x2)−(1+x2u2)=(u2−1)(1−x2)≥0(u^2+x^2)-(1+x^2u^2)=(u^2-1)(1-x^2)\ge0. Consequently

∣F(iu)∣≤e2(∣u∣≤1+2/n).(67)|F(iu)|\le e^2\qquad(|u|\le1+2/n). \tag*{(67)}

Orient the fixed segment Γ=[−i(1+2/n),i(1+2/n)]\Gamma=[-i(1+2/n),i(1+2/n)] upwards, and, off that segment, define the fixed Cauchy integral

C(z)=12πi∫Γ6F(w)w−z dw.C(z)=\frac{1}{2\pi i}\int_\Gamma\frac{6F(w)}{w-z}\,dw.

Write c−=1c_-=1, c+=−5c_+=-5, with the sign specifying the left or right half-plane, and put

h∗(z)=c±zD∗−B(z)C(z)when ±Re⁡z>0.(68)h_*(z)=c_{\pm}z^{D_*}-B(z)C(z)\qquad\text{when }\pm\operatorname{Re}z>0. \tag*{(68)}

The density is holomorphic in a neighborhood of every point of Γ\Gamma, since its poles xix_i are nonzero and real. Local contour deformation and the Cauchy integral formula show that the left lateral value of CC minus its right lateral value is 6F6F. More explicitly, move a short upward piece of Γ\Gamma to its left; the closed contour formed by the original piece followed by the reversed new piece is positively oriented, and its residue at w=zw=z is 6F(z)6F(z). Thus the difference of the two local analytic continuations in Equation (68) is (c−−c+)zD∗−6B(z)F(z)=0(c_--c_+)z^{D_*}-6B(z)F(z)=0. This proves holomorphic gluing across the segment, including its two crossings of the unit circle.

For each fixed node list the poles 1/xi1/x_i of BB and the endpoints of Γ\Gamma lie strictly outside the closed unit disk. A sufficiently small exterior neighborhood avoids all these points, and the same local gluing works there. It follows that h∗h_* is holomorphic on that neighborhood. Since B(xi)=0B(x_i)=0 and CC is regular at the nonzero real point xix_i, the required interpolation follows.

It remains to bound this one fixed function. In either radius-1/41/4 disk about ii or −i-i, the quantities ∣w∣|w|, ∣w−xi∣|w-x_i|, and ∣1−xiw∣|1-x_iw| are at least 3/43/4. Hence FF is nonzero there and

∣F′(w)F(w)∣<43D∗+83n<4n.(69)\left|\frac{F'(w)}{F(w)}\right|<\frac{4}{3}D_*+\frac{8}{3}n<4n. \tag*{(69)}

As ∣F(i)∣=∣F(−i)∣=1|F(i)|=|F(-i)|=1, integration along a segment in either disk gives ∣F(w)∣≤e12|F(w)|\le e^{12} whenever ∣w−i∣≤3/n|w-i|\le3/n or ∣w+i∣≤3/n|w+i|\le3/n.

If ∣z∣=1|z|=1 and ∣Re⁡z∣≥1/(10n)|\operatorname{Re}z|\ge1/(10n), the original segment has distance at least 1/(10n)1/(10n) from zz; its length is at most 33. Equation (67) gives ∣C(z)∣≤30e2n|C(z)|\le30e^2n. If instead 0<∣Re⁡z∣<1/(10n)0<|\operatorname{Re}z|<1/(10n), zz is near one of ±i\pm i. Near ii, replace the portion of Γ\Gamma from i(1−1/n)i(1-1/n) to i(1+2/n)i(1+2/n) by the three sides of the rectangle whose other vertical side has real part −sign⁡(Re⁡z)/n-\operatorname{sign}(\operatorname{Re}z)/n. Near −i-i, make the identical replacement of the bottom portion with imaginary parts from −1−2/n-1-2/n to −1+1/n-1+1/n. The swept rectangle is in the opposite half-plane from zz, and it is contained in the radius-1/41/4 disk about the relevant endpoint. It contains neither zz nor a pole of FF, so this deformation leaves the value of the fixed integral C(z)C(z) unchanged.

Each new side is within 3/n3/n of ii or −i-i. The new contour has length at most 33 and distance at least 1/(2n)1/(2n) from zz. For the latter assertion the vertical side has horizontal separation at least 1/n1/n, the outer horizontal side has vertical separation at least 2/n2/n, and the inner horizontal side and remaining diameter have separation at least

1n−(1−1−(10n)−2)>12n.\frac{1}{n} - \left(1-\sqrt{1-(10n)^{-2}}\right)>\frac{1}{2n}.

Thus ∣C(z)∣≤6e12n|C(z)|\leq6e^{12n} in this case. Only the two endpoint neighborhoods were deformed; the middle diameter uses its absolute bound (67), with no derivative estimate near zero. Finally ∣B(z)∣=1|B(z)|=1 on ∣z∣=1|z|=1, so Equation (68) gives ∣h∗(z)∣≤K0n|h_*(z)|\leq K_0n there. At z=±iz=\pm i use continuity of the glued function. The maximum modulus principle proves the bound in the disk. No uniform lower bound for the exterior neighborhood was used.

Evaluation in a finite-dimensional Hilbert space

The following argument uses the kernel and compression viewpoint of bounded analytic interpolation; see [21]. We prove the needed finite-dimensional facts directly.

Proposition 5.2 (Interpolation estimate). Under Equation (66),

∣Rn(x)∣≤(1+K0n)nV(1/x)∏i∣xi∣g.(70)|R_n(x)|\leq(1+K_0n)^n\mathcal{V}(1/x)\prod_i |x_i|^g. \tag*{(70)}

In particular, the prefactor is exp⁡(O(nlog⁡n))\exp(O(n\log n)) uniformly in the nodes.

Proof. Let Q(z)=∏i(1−xiz)Q(z)=\prod_i(1-x_i z), and give

HQ={v/Q:v∈C[z], deg⁡v<n}\mathcal{H}_Q=\{v/Q:v\in\mathbb{C}[z],\ \deg v<n\}

the norm inherited from the Hilbert space H2H^2 of analytic functions with square-summable Taylor coefficients:

∥v/Q∥2=12π∫02π∣v(eiθ)∣2∣Q(eiθ)∣2 dθ.\|v/Q\|^2=\frac{1}{2\pi}\int_0^{2\pi}\frac{|v(e^{i\theta})|^2}{|Q(e^{i\theta})|^2}\,d\theta.

For each fixed list the zeros of QQ lie outside the closed disk, so this is a well-defined norm. Define v~(z)=zn−1v(1/z)\widetilde{v}(z)=z^{n-1}v(1/z) and R(v/Q)=v~/QR(v/Q)=\widetilde{v}/Q. This is a complex-linear involution and an isometry: on the circle ∣v~(eiθ)∣=∣v(e−iθ)∣|\widetilde{v}(e^{i\theta})|=|v(e^{-i\theta})|, while the real coefficients of QQ imply ∣Q(eiθ)∣=∣Q(e−iθ)∣|Q(e^{i\theta})|=|Q(e^{-i\theta})|.

The functions ki(z)=(1−xiz)−1k_i(z)=(1-x_i z)^{-1} belong to HQ\mathcal{H}_Q. They are linearly independent, as their distinct poles 1/xi1/x_i show, and hence form a basis. For u∈H2u\in H^2, the Taylor coefficient inner product gives ⟨u,ki⟩=u(xi)\langle u,k_i\rangle=u(x_i). If ΠQ\Pi_Q is orthogonal projection from H2H^2 to HQ\mathcal{H}_Q, it follows that

(ΠQu)(xi)=u(xi)(1≤i≤n).(\Pi_Q u)(x_i)=u(x_i)\qquad(1\leq i\leq n).

Multiplication by the function h∗h_* of Lemma 5.1 has H2H^2 operator norm at most ∥h∗∥∞\|h_*\|_\infty. Consequently

J=ΠQMh∗∣HQ,L=I+JR satisfy ∥L∥≤1+K0n.J=\Pi_QM_{h_*}|_{\mathcal{H}_Q},\qquad L=I+JR\ \text{satisfy}\ \|L\|\leq1+K_0n.

Let E:HQ→CnE:\mathcal{H}_Q\to\mathbb{C}^n send v/Qv/Q to (v(xi))i(v(x_i))_i. It is invertible because a polynomial of degree less than nn cannot vanish at all the distinct nodes. For u∈HQu\in\mathcal{H}_Q, E(u)i=Q(xi)u(xi)E(u)_i=Q(x_i)u(x_i). Since LR=R+JLR=R+J and projection preserves function values, applying this identity to LR(v/Q)LR(v/Q) cancels the factors Q(xi)Q(x_i) algebraically and gives

ELR(v/Q)=(v~(xi)+h∗(xi)v(xi))i.(71)ELR(v/Q)=\bigl(\widetilde{v}(x_i)+h_*(x_i)v(x_i)\bigr)_i. \tag*{(71)}

In the basis 1/Q,z/Q,…,zn−1/Q1/Q,z/Q,\ldots,z^{n-1}/Q, det⁡E=V(x)\det E=V(x), and RR has determinant of absolute value one. Hence the determinant of the mixed evaluations divided by V(x)V(x) has absolute value ∣det⁡L∣≤∥L∥n≤(1+K0n)n|\det L|\le\lVert L\rVert^n\le(1+K_0n)^n. This is an algebraic cancellation of the evaluation determinant. In particular no bound for the inverse evaluation matrix, which might be poorly conditioned, enters the argument.

Apply this bound to the mixed evaluations in (65). Since ∣ξf(xi)∣≤1/2≤1|\xi_f(x_i)|\le1/2\le1 and V(1/x)=V(x)∏i∣xi∣−(n−1)\mathcal{V}(1/x)=\mathcal{V}(x)\prod_i|x_i|^{-(n-1)}, (70) follows.

Proposition 5.3 (Hadamard estimate). For every distinct nonzero real list in (−1,1)(-1,1), and in particular when (66) fails,

∣Rn(x)∣≤(3/2)nnn/22−(n2)∏i(1+xi2)(n−1)/2∣xi∣g−(n−1).(72)|\mathcal{R}_n(x)|\le(3/2)^n n^{n/2}2^{-\binom{n}{2}}\prod_i(1+x_i^2)^{(n-1)/2}|x_i|^{g-(n-1)}. \tag*{(72)}

The factor (3/2)nnn/2(3/2)^n n^{n/2} is exp⁡(O(nlog⁡n))\exp(O(n\log n)); the power 2−(n2)2^{-\binom{n}{2}} is retained in the principal integrand below.

Proof. Expand the determinant by choosing one sheet in each column. For zi∈{xi,1/xi}z_i\in\{x_i,1/x_i\} the absolute monomial determinant is V(z)∏i∣zi∣−g\mathcal{V}(z)\prod_i|z_i|^{-g}. Write zi=tan⁡ϕiz_i=\tan\phi_i with −π/2<ϕi<π/2-\pi/2<\phi_i<\pi/2. Then

V(z)=∏i(1+zi2)(n−1)/2∏i<j∣sin⁡(ϕj−ϕi)∣.\mathcal{V}(z)=\prod_i(1+z_i^2)^{(n-1)/2}\prod_{i<j}|\sin(\phi_j-\phi_i)|.

The last product is 2−(n2)2^{-\binom{n}{2}} times the Vandermonde on the unit-circle points e2iϕie^{2i\phi_i}. Its monomial matrix has column norms n\sqrt n, so Hadamard’s inequality gives the bound 2−(n2)nn/22^{-\binom{n}{2}}n^{n/2}. The ratio of the remaining weight on the far sheet to that on the near sheet is

∣1/x∣−g(1+x−2)(n−1)/2∣x∣−g(1+x2)(n−1)/2=∣x∣−D∗≥1.\frac{|1/x|^{-g}(1+x^{-2})^{(n-1)/2}}{|x|^{-g}(1+x^2)^{(n-1)/2}}=|x|^{-D_*}\ge1.

Thus all the weights can be bounded by their far-sheet values. Finally the sum of absolute sheet coefficients is at most ∏i(∣ξf(xi)∣+∣ξn(xi)∣)≤(3/2)n\prod_i(|\xi_f(x_i)|+|\xi_n(x_i)|)\le(3/2)^n, proving the result.

The two principal integrands

To state precisely the quantities needed for the real-place energy estimate, put ti=2xi/(1+xi2)t_i=2x_i/(1+x_i^2) and

Jn(x,s)=V(t)V(s)2∏i,j(1−tisj)∏jsjb(1−sj)q∏i∣ti∣C−1(1−ti)h.\mathcal{J}_n(x,s)=\frac{\mathcal{V}(t)\mathcal{V}(s)^2}{\prod_{i,j}(1-t_is_j)}\prod_j s_j^b(1-s_j)^q\prod_i|t_i|^{C-1}(1-t_i)^h.

Define

I2,n(x,s)=Jn(x,s)V(1/x)∏i∣xi∣g,\mathcal{I}_{2,n}(x,s)=\mathcal{J}_n(x,s)\mathcal{V}(1/x)\prod_i|x_i|^g,
I1,n(x,s)=Jn(x,s)2−(n2)∏i(1+xi2)(n−1)/2∣xi∣g−(n−1).(73)\mathcal{I}_{1,n}(x,s)=\mathcal{J}_n(x,s)2^{-\binom{n}{2}}\prod_i(1+x_i^2)^{(n-1)/2}|x_i|^{g-(n-1)}. \tag*{(73)}

Let Ω2,n\Omega_{2,n} be the set of interior configurations with distinct nonzero xix_i satisfying (66), and let Ω1,n\Omega_{1,n} be its complementary case among such configurations. We use the interpolation estimate on Ω2,n\Omega_{2,n} and the Hadamard estimate on Ω1,n\Omega_{1,n}; the latter estimate is valid in both cases. After substituting t=2x/(1+x2)t=2x/(1+x^2), κ\kappa is the exponent of the absolute xx-Vandermonde in the corresponding majorant: κ=2\kappa=2 for the interpolation estimate and κ=1\kappa=1 for the Hadamard estimate. The sjs_j always range over (0,1)(0,1).

The preceding propositions and Equation (64) give

∣ΔN∣≤2nKn(n!)2max⁡κ∈{1,2}sup⁡(x,s)∈Ωκ,nIκ,n(x,s),Kn=max⁡{(1+K0n)n,(3/2)nnn/2}.|\Delta_N| \le\frac{2^n K_n}{(n!)^2}\max_{\kappa\in\{1,2\}}\sup_{(x,s)\in\Omega_{\kappa,n}} \mathcal{I}_{\kappa,n}(x,s),\qquad K_n=\max\{(1+K_0n)^n,(3/2)^n n^{n/2}\}.

Indeed dμn(t) dsd\mu^n(t)\,ds has total mass 2n2^n, and the two case sets partition its domain up to a null set. In logarithmic form, with log⁡0=−∞\log0=-\infty, this yields

log⁡∣ΔN∣n2−12log⁡2≤max⁡κ∈{1,2}sup⁡(x,s)∈Ωκ,n(log⁡Iκ,n(x,s)n2−12log⁡2)+O(log⁡(n+2)n).(74)\frac{\log|\Delta_N|}{n^2}-\frac{1}{2}\log2\le\max_{\kappa\in\{1,2\}}\sup_{(x,s)\in\Omega_{\kappa,n}}\left(\frac{\log\mathcal{I}_{\kappa,n}(x,s)}{n^2}-\frac{1}{2}\log2\right)+O\left(\frac{\log(n+2)}{n}\right). \tag*{(74)}

The error is independent of both integration lists. Factorials, measure masses, and sheet sums have all been accounted for explicitly.

Repeated nonzero xix_i give a zero original row determinant and are also handled by continuity in the first estimate; repeated sjs_j give a zero ss Vandermonde. The sets with a zero node or a boundary node have measure zero for the absolutely continuous measures above. At such points the original expression in Equation (61), rather than its factored Laurent expression, supplies the integrable definition. Approaches to these exceptional sets require no separation condition in any bound proved here. In particular all configurations arbitrarily close to them remain included in the suprema in Equation (74).

A uniform energy bound

The purpose of this Section is to replace the two many-variable majorants by one-variable suprema and explicit quadratic terms. The bound must be uniform before taking those suprema. Matched damping and retained endpoint corrections provide this uniformity.

We retain the constants α,β,γ,η\alpha,\beta,\gamma,\eta, the two cases κ=2,1\kappa=2,1, and the nonnegative majorants Iκ,n\mathcal{I}_{\kappa,n} of Equation (73). Put

Wκ(x)=(α+2γ)log⁡∣x∣+2ηlog⁡(1−x)−(κ/2+α+η+γ)log⁡(1+x2),Ws(s)=βlog⁡s+γlog⁡(1−s),D(x)=2γ−2x21+x2.(75)\begin{aligned} W_\kappa(x)&=(\alpha+2\gamma)\log|x|+2\eta\log(1-x)-(\kappa/2+\alpha+\eta+\gamma)\log(1+x^2),\\ W_s(s)&=\beta\log s+\gamma\log(1-s),\\ D(x)&=2\gamma-\frac{2x^2}{1+x^2}. \tag*{(75)} \end{aligned}

Here D(x)D(x) is a scalar function, distinct from the row polynomials Dr(t)D_r(t). For a real sequence u=(uk)k≥1u=(u_k)_{k\ge1} with ∣uk∣≤Krk|u_k|\le Kr^k for some K<∞K<\infty and 0<r<10<r<1, define

∥u∥∗2=∑k≥1uk2k,T(u,x)=∑k≥1ukTk(x)k,S(u,x)=∑k≥1ukxkk.(76)\|u\|_*^2=\sum_{k\ge1}\frac{u_k^2}{k},\qquad T(u,x)=\sum_{k\ge1}\frac{u_kT_k(x)}{k},\qquad S(u,x)=\sum_{k\ge1}\frac{u_kx^k}{k}. \tag*{(76)}

These series converge uniformly for −1≤x≤1-1\le x\le1.

The sequences p,vp,v below are freely chosen trial coefficients. The inequality −a2≤b2−2ab-a^2\le b^2-2ab lets them replace two negative quadratic sums in the logarithmic interactions by affine upper bounds, leaving the two one-variable suprema. Each admissible choice gives a valid bound; the certificate will supply one successful choice for each case.

Proposition 6.1. Let p,vp,v be two such sequences, and take λ=0\lambda=0 in case κ=2\kappa=2 or any fixed λ≥0\lambda\ge0 in case κ=1\kappa=1. Uniformly over configurations in the indicated case,

lim sup⁡N→∞sup⁡case κ(log⁡Iκ,nn2−12log⁡2)≤(−1+α+γ)log⁡2+κ∥p∥∗2+12∥v∥∗2+sup⁡−1≤x<1x≠0{Wκ(x)+λD(x)−2κT(p,x)−S(v,x)}+sup⁡0<s<1{Ws(s)+2T(v,s)}.(77)\limsup_{N\to\infty}\sup_{\text{case }\kappa}\left(\frac{\log\mathcal{I}_{\kappa,n}}{n^2}-\frac{1}{2}\log2\right) \le(-1+\alpha+\gamma)\log2+\kappa\lVert p\rVert_*^2+\frac{1}{2}\lVert v\rVert_*^2 +\sup_{\substack{-1\le x<1\\x\ne0}}\{W_\kappa(x)+\lambda D(x)-2\kappa T(p,x)-S(v,x)\} +\sup_{0<s<1}\{W_s(s)+2T(v,s)\}. \tag*{(77)}

Consequently the maximum of the right sides for the two cases bounds

lim sup⁡N→∞(n−2log⁡∣ΔN∣−12log⁡2).\limsup_{N\to\infty}\left(n^{-2}\log|\Delta_N|-\frac{1}{2}\log2\right).

We use log⁡0=−∞\log0=-\infty.

Proof. For a one-variable function FF, write ⟨F(x)⟩=n−1∑iF(xi)\langle F(x)\rangle=n^{-1}\sum_i F(x_i), and similarly for ss. In a double average ⟨K(x,x′)⟩≠\langle K(x,x')\rangle_{\ne} we sum over ordered pairs i≠ji\ne j and divide by n2n^2; a double average without the subscript includes every pair. The substitution t=2x/(1+x2)t=2x/(1+x^2) gives

∣t−t′∣=2∣x−x′∣(1−xx′)(1+x2)(1+x′2),1−ts=1−2xs+x21+x2,1−t=(1−x)21+x2.(78)|t-t'|=\frac{2|x-x'|(1-xx')}{(1+x^2)(1+x'^2)},\qquad 1-ts=\frac{1-2xs+x^2}{1+x^2},\qquad 1-t=\frac{(1-x)^2}{1+x^2}. \tag*{(78)}

In particular, the exponent of ∣xi∣|x_i| in either majorant is exactly

(C−1)+g−(n−1)=C+g−n=a+2g;(C-1)+g-(n-1)=C+g-n=a+2g;

there is no singular finite-size correction at x=0x=0. Keeping the other powers as well gives the following exact identity:

log⁡Iκ,nn2−12log⁡2=cκ,nlog⁡2+⟨Wκ(x)+κ+22nlog⁡(1+x2)⟩+⟨Ws(s)⟩+κ2⟨log⁡∣x−x′∣⟩≠+12⟨log⁡(1−xx′)⟩≠+⟨log⁡∣s−s′∣⟩≠−⟨log⁡(1−2xs+x2)⟩,(79)\frac{\log\mathcal{I}_{\kappa,n}}{n^2}-\frac{1}{2}\log2 =c_{\kappa,n}\log2+\left\langle W_\kappa(x)+\frac{\kappa+2}{2n}\log(1+x^2)\right\rangle+\langle W_s(s)\rangle +\frac{\kappa}{2}\langle\log|x-x'|\rangle_{\ne} +\frac{1}{2}\langle\log(1-xx')\rangle_{\ne} +\langle\log|s-s'|\rangle_{\ne} -\langle\log(1-2xs+x^2)\rangle, \tag*{(79)}
cκ,n=Cn+κ−22−κ+12n.c_{\kappa,n}=\frac{C}{n}+\frac{\kappa-2}{2}-\frac{\kappa+1}{2n}.

The displayed correction involving log⁡(1+x2)\log(1+x^2) is bounded by 2log⁡2/n2\log2/n on the whole domain.

We use the classical Chebyshev expansion of the logarithmic kernel, in the form of Haagerup’s identity presented in [11]. We first record its damped form on [−1,1][-1,1]. If u=cos⁡θu=\cos\theta, u′=cos⁡θ′u'=\cos\theta', and 0≤r<10\le r<1, set

Lr(u,u′)=−log⁡2+log⁡∣1−rei(θ+θ′)∣+log⁡∣1−rei(θ−θ′)∣=−log⁡2−2∑k≥1rkTk(u)Tk(u′)k.(80)L_r(u,u')=-\log2+\log|1-re^{i(\theta+\theta')}|+\log|1-re^{i(\theta-\theta')}| =-\log2-2\sum_{k\ge1}\frac{r^kT_k(u)T_k(u')}{k}. \tag*{(80)}

This follows from the power series for log⁡(1−z)\log(1-z) and the addition formula for cosines. Letting r↑1r \uparrow1 at distinct u,u′u,u' gives L1(u,u′)=log⁡∣u−u′∣L_1(u,u')=\log|u-u'|, since the product of the two chord lengths is 2∣u−u′∣2|u-u'|. The other two identities, for ∣z∣,∣z′∣<1|z|,|z'|<1, are

log⁡(1−zz′)=−∑k≥1zkz′kk,−log⁡(1−2zs+z2)=2∑k≥1zkTk(s)k.(81)\log(1-zz')=-\sum_{k\geq1}\frac{z^kz'^k}{k},\qquad-\log(1-2zs+z^2)=2\sum_{k\geq1}\frac{z^kT_k(s)}{k}. \tag*{(81)}

For the last identity the logarithm is the logarithm of a positive real number, equal to log⁡∣1−zeiarccos⁡s∣2\log|1-ze^{i\arccos s}|^2. The singular kernels cannot be summed at empirical diagonals. We regularize all appearances of the same moment by the same factor so that the pure and cross interactions still complete a square. Near (x,s)=(1,1)(x,s)=(1,1), the identity ∣1−xeiarccos⁡s∣2=(1−x)2+2x(1−s)|1-xe^{i\arccos s}|^2=(1-x)^2+2x(1-s) identifies the scales 1−x1-x and 1−s\sqrt{1-s} used in the following damping factors.

Fix 0<ε<1/80<\varepsilon<1/8 and define

τ=1−ε,ρ(x)=1−ε(1−x),σ(s)=1−ε1−s.(82)\tau=1-\varepsilon,\qquad\rho(x)=1-\varepsilon(1-x),\qquad\sigma(s)=1-\varepsilon\sqrt{1-s}. \tag*{(82)}

Replace the xx cosine kernel in Equation (79) by Lτ2(x,x′)L_{\tau^2}(x,x') and the ss cosine kernel by Lσ(s)σ(s′)(s,s′)L_{\sigma(s)\sigma(s')}(s,s').

Replace the power kernel by

log⁡(1−ρ(x)ρ(x′)xx′),\log(1-\rho(x)\rho(x')xx'),

and the cross kernel by

−log⁡∣1−ρ(x)σ(s)xeiarccos⁡s∣2.-\log|1-\rho(x)\sigma(s)xe^{i\arccos s}|^2.

Every original kernel is bounded above by its replacement plus O(ε)O(\varepsilon), with an absolute constant independent of the configuration. We give the global estimates, including the signs in the power kernel.

For ∣ζ∣=1|\zeta|=1 and 0<r≤10<r\leq1,

∣1−rζ∣2−r∣1−ζ∣2=(1−r)2≥0.|1-r\zeta|^2-r|1-\zeta|^2=(1-r)^2\geq0.

Thus each of the cosine kernels costs at most −log⁡r-\log r in the comparison, and here r≥(1−ε)2r\geq(1-\varepsilon)^2. For the power kernel put u=xx′u=xx' and r=ρ(x)ρ(x′)r=\rho(x)\rho(x'). If u≥0u\geq0, monotonicity gives log⁡(1−u)≤log⁡(1−ru)\log(1-u)\leq\log(1-ru). If u<0u<0, write q=−u≤1q=-u\leq1; then

log⁡(1+q)−log⁡(1+rq)≤(1−r)q1+rq≤1−r≤4ε.(83)\log(1+q)-\log(1+rq)\leq\frac{(1-r)q}{1+rq}\leq1-r\leq4\varepsilon. \tag*{(83)}

For the cross kernel write a=1−xa=1-x, b=1−sb=\sqrt{1-s}, θ=arccos⁡s\theta=\arccos s, z=1−xeiθz=1-xe^{i\theta}, and zε=1−ρ(x)σ(s)xeiθz_\varepsilon=1-\rho(x)\sigma(s)xe^{i\theta}. Then ∣zε−z∣≤ε∣x∣(a+b)|z_\varepsilon-z|\leq\varepsilon|x|(a+b). On x≤0x\leq0 we have ∣z∣≥1|z|\geq1 and ∣x∣(a+b)≤3|x|(a+b)\leq3. On 0≤x≤1/20\leq x\leq1/2 we have ∣z∣≥1/2|z|\geq1/2 and ∣x∣(a+b)≤1|x|(a+b)\leq1. On 1/2≤x<11/2\leq x<1 we have

∣z∣2=a2+2xb2≥a2+b2,∣x∣(a+b)≤2∣z∣.|z|^2=a^2+2xb^2\geq a^2+b^2,\qquad|x|(a+b)\leq\sqrt{2}|z|.

Consequently ∣zε−z∣≤3ε∣z∣|z_\varepsilon-z|\leq3\varepsilon|z| on all three domains, and in the direction required for an upper bound,

−log⁡∣z∣2≤−log⁡∣zε∣2+2log⁡(1+3ε)≤−log⁡∣zε∣2+6ε.(84)-\log|z|^2\leq-\log|z_\varepsilon|^2+2\log(1+3\varepsilon)\leq-\log|z_\varepsilon|^2+6\varepsilon. \tag*{(84)}

For each fixed finite interior configuration all the damped series are absolutely convergent. Put

Ak=⟨τkTk(x)⟩,Bk=⟨ρ(x)kxk⟩,Ck=⟨σ(s)kTk(s)⟩.A_k=\langle\tau^kT_k(x)\rangle,\qquad B_k=\langle\rho(x)^kx^k\rangle,\qquad C_k=\langle\sigma(s)^kT_k(s)\rangle.

Inserting the diagonals gives the two exact negative-square identities

κ2⟨Lτ2(x,x′)⟩=−κ2log⁡2−κ∑k≥1Ak2k.(85)\frac{\kappa}{2}\langle L_{\tau_2}(x,x')\rangle=-\frac{\kappa}{2}\log2-\kappa\sum_{k\ge1}\frac{A_k^2}{k}. \tag*{(85)}
12⟨log⁡(1−ρ(x)ρ(x′)xx′)⟩+⟨Lσ(s)σ(s′)(s,s′)⟩−⟨log⁡∣1−ρ(x)σ(s)xeiarccos⁡s∣2⟩=−log⁡2−12∑k≥1(Bk−2Ck)2k.(86)\begin{aligned} &\frac{1}{2}\left\langle\log\left(1-\rho(x)\rho(x')xx'\right)\right\rangle+\left\langle L_{\sigma(s)\sigma(s')}(s,s')\right\rangle\\ &\qquad-\left\langle\log\left|1-\rho(x)\sigma(s)xe^{i\arccos s}\right|^2\right\rangle\\ &=-\log2-\frac{1}{2}\sum_{k\ge1}\frac{(B_k-2C_k)^2}{k}. \tag*{(86)} \end{aligned}

In particular the BkB_k and CkC_k in the cross term are exactly the same ones as in the pure power and cosine terms. Adding the constants in these identities to cκ,nlog⁡2c_{\kappa,n}\log2 gives

(−1+α+γ−κ+12n)log⁡2.\left(-1+\alpha+\gamma-\frac{\kappa+1}{2n}\right)\log2.

The omitted-diagonal constants are part of the next Oε(1/n)O_{\varepsilon}(1/n) correction. We control this correction before taking any supremum. A damped cosine diagonal is bounded below by −log⁡2+2log⁡(1−r)-\log2+2\log(1-r), so the xx cosine diagonals cost Oε(1/n)O_{\varepsilon}(1/n). For the power diagonal,

1−ρ(x)2x2≥1−x(x≥0),1−ρ(x)2x2≥1−(1−ε)2≥ε(x≤0).1-\rho(x)^2x^2\ge1-x\quad(x\ge0),\qquad1-\rho(x)^2x^2\ge1-(1-\varepsilon)^2\ge\varepsilon\quad(x\le0).

Since 1≤1−x≤21\le1-x\le2 when x≤0x\le0, their upward correction is at most

Oε(1/n)−12n⟨log⁡(1−x)⟩.O_{\varepsilon}(1/n)-\frac{1}{2n}\langle\log(1-x)\rangle.

Finally,

1−σ(s)2=ε1−s(2−ε1−s)≥ε1−s,1-\sigma(s)^2=\varepsilon\sqrt{1-s}\left(2-\varepsilon\sqrt{1-s}\right)\ge\varepsilon\sqrt{1-s},

so the ss cosine diagonals cost at most Oε(1/n)−n−1⟨log⁡(1−s)⟩O_{\varepsilon}(1/n)-n^{-1}\langle\log(1-s)\rangle. The cross term already contains all pairs. There is no loss involving log⁡∣x∣\log|x| or log⁡(1+x)\log(1+x).

For real numbers a,ba,b we have −a2≤b2−2ab-a^2\le b^2-2ab. Apply this to the first square with b=pkb=p_k, and to the second with b=vkb=v_k; after dividing by kk and summing, the two inequalities are

−κ∑kAk2/k≤κ∥p∥∗2−2κ∑kpkAk/k,-\kappa\sum_k A_k^2/k\le\kappa\lVert p\rVert_*^2-2\kappa\sum_k p_kA_k/k,
−12∑k(Bk−2Ck)2/k≤12∥v∥∗2−∑kvkBk/k+2∑kvkCk/k.-\frac{1}{2}\sum_k(B_k-2C_k)^2/k\le\frac{1}{2}\lVert v\rVert_*^2-\sum_kv_kB_k/k+2\sum_kv_kC_k/k.

For κ=1\kappa=1, failure of Equation (66) says

1−2⟨x21+x2⟩>1−1n−2γ,hence⟨D(x)⟩>−1/n.1-2\left\langle\frac{x^2}{1+x^2}\right\rangle>1-\frac{1}{n}-2\gamma,\qquad\text{hence}\qquad\langle D(x)\rangle>-1/n.

It follows that adding λ⟨D(x)⟩\lambda\langle D(x)\rangle costs at most λ/n\lambda/n for an upper bound; this explains both λ≥0\lambda\ge0 and its sign in Equation (77).

Let Tε(p,x)T_{\varepsilon}(p,x), Sε(v,x)S_{\varepsilon}(v,x), and Tε(v,s)T_{\varepsilon}(v,s) denote the three series in (76) with factors τk\tau^k, ρ(x)k\rho(x)^k, and σ(s)k\sigma(s)^k, respectively. The preceding pointwise bounds reduce the upper estimate to the sum of two one-variable suprema, with functions

Xn,ε(x)=1948log⁡∣x∣+(112−12n)log⁡(1−x)−(κ/2+α+η+γ)log⁡(1+x2)+λD(x)−2κTε(p,x)−Sε(v,x),Yn,ε(s)=748log⁡s+(112−1n)log⁡(1−s)+2Tε(v,s).\begin{aligned} X_{n,\varepsilon}(x)={}&\frac{19}{48}\log|x|+\left(\frac{1}{12}-\frac{1}{2n}\right)\log(1-x)\\ &-\left(\kappa/2+\alpha+\eta+\gamma\right)\log(1+x^2)+\lambda D(x)\\ &-2\kappa T_{\varepsilon}(p,x)-S_{\varepsilon}(v,x),\\ Y_{n,\varepsilon}(s)={}&\frac{7}{48}\log s+\left(\frac{1}{12}-\frac{1}{n}\right)\log(1-s)+2T_{\varepsilon}(v,s). \end{aligned}

plus the constant in (77) and O(ε)+Oε(1/n)O(\varepsilon)+O_{\varepsilon}(1/n). All bounded finite-size terms from (79) are included in this last error. For n≥24n\ge24 both weakened endpoint coefficients are at least 1/241/24.

Set P1=∑k∣pk∣P_1=\sum_k|p_k| and V1=∑k∣vk∣V_1=\sum_k|v_k|, which are finite. The inequality 1−(1−d)k≤kd1-(1-d)^k\le kd shows uniformly that

∣Tε(p,x)−T(p,x)∣≤εP1,∣Sε(v,x)−S(v,x)∣≤2εV1,∣Tε(v,s)−T(v,s)∣≤εV1.\begin{aligned} |T_{\varepsilon}(p,x)-T(p,x)|&\le\varepsilon P_1,\\ |S_{\varepsilon}(v,x)-S(v,x)|&\le2\varepsilon V_1,\\ |T_{\varepsilon}(v,s)-T(v,s)|&\le\varepsilon V_1. \end{aligned}

Thus the changes in the two tangent functions are at most 2κεP1+2εV12\kappa\varepsilon P_1+2\varepsilon V_1 and 2εV12\varepsilon V_1, respectively. These are common summable bounds; no uniform convergence of the raw square series is required. All remaining nonsingular terms are bounded uniformly in n≥24n\ge24 and 0<ε<1/80<\varepsilon<1/8. The unchanged positive coefficients 19/4819/48, 7/487/48 and the weakened coefficients at least 1/241/24 force uniform decay to −∞-\infty near x=0x=0, x=1x=1, s=0s=0, and s=1s=1. The values at the fixed comparison points x=−1/2x=-1/2, s=1/2s=1/2 have a common finite lower bound. For the first supremum we include the regular endpoint x=−1x=-1 by continuous extension. There are therefore compact sets, independent of n≥24n\ge24 and small ε\varepsilon, containing maximizers for both suprema. On these sets the functions converge uniformly as n→∞n\to\infty with ε\varepsilon fixed, and subsequently as ε↓0\varepsilon\downarrow0. Taking the limits in precisely this order removes Oε(1/n)O_{\varepsilon}(1/n) first and proves (77). Finally apply (74).

An exact certificate for the two barriers

All finite decimals in this Section denote exact rational numbers. We specify trial sequences for (77), isolate every stationary point of its two one-variable functions, and bound their values using rational arithmetic.

Proposition 7.1. For the determinants of (7),

lim sup⁡N→∞(log⁡∣ΔN∣N2−12log⁡2)≤−2.290939875<−2.2909.(87)\limsup_{N\to\infty}\left(\frac{\log|\Delta_N|}{N^2}-\frac{1}{2}\log2\right)\le-2.290939875<-2.2909. \tag*{(87)}

The separate bounds for the majorants in cases κ=2\kappa=2 and κ=1\kappa=1 are −2.290939875-2.290939875 and −2.296789875-2.296789875, respectively.

Exact trial sequences

For κ=2\kappa=2 take d=10d=10 and λ2=0\lambda_2=0. For κ=1\kappa=1 take d=8d=8 and λ1=2.47405979\lambda_1=2.47405979. Write each sequence as

uk=lk+∑zrzzk,lk=0(k>d).(88)u_k=l_k+\sum_z r_z z^k,\qquad l_k=0\quad(k>d). \tag*{(88)}

The following tables give all coefficients. Every integer coefficient in them is to be multiplied by 10−810^{-8}. The finite parts are listed in increasing order of kk:

κ\kappauufinite coefficients
2pp45559127-50750856-6578767139702174786184
-4292433-5767041311615671564-346453
2vv-2391015821152432-2885110-115581996485289
1456821-1912176-22635242742210-1162454

Table 1 (PDF p. 35).

κ\kappauufinite coefficients
1pp11913521-79993701-2195644337903579
10744022-2073193570246-24939103
1vv-899130255287428045168341-30708629
-19269841339221129819141-16992389

Table 2 (PDF p. 35).

Case κ=1\kappa= 1 has no exponential terms. The exponential terms for κ=2\kappa= 2 are as follows. For a real base zz the displayed aa is the coefficient of zkz^k. For a nonreal base the two entries a,ba,b are the coefficients of ℜ(zk)\Re(z^k), ℑ(zk)\Im(z^k), in that order. In (88) such a pair is represented by rz=(a−ib)/2r_z = (a - ib)/2 and rz‾=rz‾\overline{r_z} = \overline{r_z}, with the factor 10−810^{-8} applied to a,ba,b. Each real base appears once and each nonreal base together with its conjugate.

uubase zzaabb
pp.85-9338452—
.94-2141509—
.7ii-66277922-31907569
.85ii-12316516002645
.092 + .92ii-32259188928234
−.092+.92i-.092 + .92i-2105536-9091287
vv−.8-.815199211—
−.96-.964451662—
.882545398—
.95-4932634—
.98411618157—
.78ii27238714-38447936
.9ii-31341084-30188786
.955ii-669354211912254
.984ii2055213-21715849

Table 3.

In particular these are real exponentially decaying sequences. There are ten pp tail terms and thirteen vv tail terms when conjugates are counted, and their base moduli are at most .94 and .984, respectively. All the ∣lk∣|l_k| and ∣rz∣|r_z| are less than 1.

The convergent power series for the logarithm give the finite formulas

∥u∥∗2=∑k=1dlk2+2lk∑zrzzkk−∑z,z′rzrz′′Log⁡(1−zz′),T(u,x)=∑k=1dlkTk(x)k−12∑zrzLog⁡(1−2xz+z2),S(u,x)=∑k=1dlkxkk−∑zrzLog⁡(1−xz).(89)\begin{aligned} \lVert u\rVert_*^2 &= \sum_{k=1}^{d}\frac{l_k^2+2l_k\sum_z r_z z^k}{k}-\sum_{z,z'}r_zr_{z'}'\operatorname{Log}(1-zz'),\\ T(u,x) &= \sum_{k=1}^{d}\frac{l_kT_k(x)}{k}-\frac{1}{2}\sum_z r_z\operatorname{Log}(1-2xz+z^2),\\ S(u,x) &= \sum_{k=1}^{d}\frac{l_kx^k}{k}-\sum_z r_z\operatorname{Log}(1-xz). \tag*{(89)} \end{aligned}

Here Log⁡\operatorname{Log} is the principal complex logarithm; all sums are real by conjugation. There is no branch ambiguity in these formulas. For the norm and power terms the log arguments have positive real part. For the cosine term, writing x=cos⁡θx=\cos\theta gives

1−2xz+z2=(1−zeiθ)(1−ze−iθ).1-2xz+z^2=(1-ze^{i\theta})(1-ze^{-i\theta}).

Both factors have positive real part, and their principal arguments sum strictly inside (−π,π)(-\pi,\pi). The sum of their logarithms is therefore exactly the principal logarithm of the product, including when the product has negative real part.

For these choices put

Xκ(x)=Wκ(x)+λκD(x)−2κT(p,x)−S(v,x),Yκ(x)=βlog⁡x+γlog⁡(1−x)+2T(v,x).(90)\begin{aligned} X_\kappa(x)&=W_\kappa(x)+\lambda_\kappa D(x)-2\kappa T(p,x)-S(v,x),\\ Y_\kappa(x)&=\beta\log x+\gamma\log(1-x)+2T(v,x). \tag*{(90)} \end{aligned}

The domain of XκX_\kappa is [−1,1)∖{0}[-1,1)\setminus\{0\}, and that of YκY_\kappa is (0,1)(0,1).

Derivative numerators and exhaustive root brackets

Define the rational functions

tu(x)=∑k=1dlkUk−1(x)+∑zrzz1−2xz+z2,t_u(x)=\sum_{k=1}^{d}l_kU_{k-1}(x)+\sum_z\frac{r_zz}{1-2xz+z^2},
hu(x)=∑k=1dlkxk−1+∑zrzz1−xz.h_u(x)=\sum_{k=1}^{d}l_kx^{k-1}+\sum_z\frac{r_zz}{1-xz}.

Differentiation of (89) yields

Xκ′(x)=α+2γx−2η1−x−(κ+2α+2η+2γ)x1+x2−4λκx(1+x2)2−2κtp(x)−hv(x),Yκ′(x)=βx−γ1−x+2tv(x).(91)\begin{aligned} X_\kappa'(x)&=\frac{\alpha+2\gamma}{x}-\frac{2\eta}{1-x}-(\kappa+2\alpha+2\eta+2\gamma)\frac{x}{1+x^2}\\ &\quad-\frac{4\lambda_\kappa x}{(1+x^2)^2}-2\kappa t_p(x)-h_v(x),\\ Y_\kappa'(x)&=\frac{\beta}{x}-\frac{\gamma}{1-x}+2t_v(x). \tag*{(91)} \end{aligned}

For a completely specified rational numerator, use

QX(x)=x(1−x)(1+x2)3−κ∏z in p(1−2xz+z2)∏z in v(1−xz),Q_X(x)=x(1-x)(1+x^2)^{3-\kappa}\prod_{z\ \mathrm{in}\ p}(1-2xz+z^2)\prod_{z\ \mathrm{in}\ v}(1-xz),
QY(x)=x(1−x)∏z in v(1−2xz+z2),Q_Y(x)=x(1-x)\prod_{z\ \mathrm{in}\ v}(1-2xz+z^2),
AX(x)=QX(x)Xκ′(x),A_X(x)=Q_X(x)X_\kappa'(x),
AY(x)=QY(x)Yκ′(x).(92)A_Y(x)=Q_Y(x)Y_\kappa'(x). \tag*{(92)}

Empty products equal 1. These equations, the coefficient tables, and T0=1T_0=1, T1=xT_1=x, U0=1U_0=1, U1=2xU_1=2x, with recurrence Vk+1=2xVk−Vk−1V_{k+1}=2xV_k-V_{k-1}, specify the four polynomials over Q\mathbb{Q} without any numerical root calculation. The denominators do not vanish on the indicated open domains: ∣1−xz∣≥1−∣z∣>0|1-xz|\ge1-|z|>0, and ∣1−2xz+z2∣≥(1−∣z∣)2>0|1-2xz+z^2|\ge(1-|z|)^2>0 for real ∣x∣≤1|x|\le1. Conjugate factors in QX,QYQ_X,Q_Y have positive products, and real-base factors are positive. Hence QXQ_X has the sign of xx on its domain and QY>0Q_Y>0 on (0,1)(0,1).

Here is an exact root-count certificate. If A(x)=∑j=0d0AjxjA(x)=\sum_{j=0}^{d_0}A_jx^j is the specified numerator, on a subinterval (b,c)(b,c) form

(1+t)d0A(b+ct1+t)=∑h=0d0ahth,ah=∑j=0d0∑k=0jAj(jk)bj−kck(d0−jh−k).(93)(1+t)^{d_0}A\left(\frac{b+ct}{1+t}\right)=\sum_{h=0}^{d_0}a_ht^h,\qquad a_h=\sum_{j=0}^{d_0}\sum_{k=0}^{j}A_j\binom{j}{k}b^{j-k}c^k\binom{d_0-j}{h-k}. \tag*{(93)}

where out-of-range binomial coefficients are zero. Delete zero coefficients and count consecutive sign changes. The degrees and the resulting counts, in the order of the consecutive intervals, are

κ\kappafunctiond0d_0division pointssign variations
2XX36−1,0,1-1,0,19,99,9
2YY240,.25,.5,.75,10,.25,.5,.75,15,2,2,65,2,2,6
1XX13−1,−.5,0,.5,1-1,-.5,0,.5,11,1,2,11,1,2,1
1YY90,10,155

Table 1 (PDF p. 37).

The sign-variation bound is Descartes’ rule of signs [7]. For completeness, the required bound follows by factoring out positive real roots: multiplication of a real polynomial by t−rt-r, r>0r>0, increases the number of variations by at least one. To see this, positive rescaling of the variable reduces to r=1r=1, and zero initial coefficients can be removed. If a0,…,ada_0,\ldots,a_d are the old coefficients and b0,…,bd+1b_0,\ldots,b_{d+1} the new ones, then

∑j=0hbj=−ah(0≤h≤d),bd+1=ad.\sum_{j=0}^{h}b_j=-a_h\quad(0\le h\le d),\qquad b_{d+1}=a_d.

Each sign change between nonzero partial sums forces an intervening bjb_j with the sign of the later partial sum. Starting with b0=−a0b_0=-a_0, these choices give an ordered subsequence with all the variations of the aha_h; the final coefficient bd+1b_{d+1} has the opposite sign to the last partial sum and supplies one further variation. Factoring successively therefore proves that the variation count bounds the number of positive roots with multiplicity. The substitution in Equation (93) sends t>0t>0 bijectively to (b,c)(b,c) and does not change multiplicities.

The following integers mm specify disjoint open brackets (m,m+2)/1010(m,m+2)/10^{10} for roots of the corresponding derivative: For each integer in this table the exact sign check is

κ\kappafunctionmm
2XX-9601109148-8942317572-7608305633
-6503394794-5185864065-4015634158
-3108806646-2067921826-1589849496
153194806220724481793208186484
438111942758513541997269030693
839027740293326145649709786219
2YY176402802330649406764952882
122725075321494659983048189112
432269909655647579946801929373
803198837188770378519577761832
983846399999727278159992037196
1XX-9917299785-22595721532543808026
44372702596348298970
1YY53266978625042393255701738806
79669393839454490138

Table 1 (PDF p. 38).

NA(m)NA(m+2)<0,NA(s)=∑j=0d0Aj(1010)d0−jsj.(94)N_A(m)N_A(m+2)<0,\qquad N_A(s)=\sum_{j=0}^{d_0} A_j(10^{10})^{d_0-j}s^j. \tag*{(94)}

Equations (92), (93), and (94) give rational addition and multiplication recipes for every entry of the root certificate. The numbers of brackets in each consecutive interval equal the displayed variation counts. The intermediate value theorem and the variation bound therefore give exactly one simple root per bracket and no other roots in those open intervals. Possible roots at the division points are harmless because all finite division points are evaluated separately below.

Rational logarithms and all candidate values

Here is the rational procedure used for the value bounds. For a positive rational ss, write s=2mys=2^m y with 1≤y≤21\le y\le2, and put

H(y)=2∑j=01712j+1(y−1y+1)2j+1.(95)H(y)=2\sum_{j=0}^{17}\frac{1}{2j+1}\left(\frac{y-1}{y+1}\right)^{2j+1}. \tag*{(95)}

The substitution for log⁡s\log s is mH(2)+H(y)mH(2)+H(y). If q=(y−1)/(y+1)q=(y-1)/(y+1), its unscaled positive remainder is bounded by

0≤log⁡y−H(y)≤2q3737(1−q2).0\le\log y-H(y)\le\frac{2q^{37}}{37(1-q^2)}.

For a nonzero rational complex number a+iba+ib, its real log part is half the real log of a2+b2a^2+b^2. For its principal argument choose an octant: rotate by −kπ/4-k\pi/4, −4≤k≤4-4\le k\le4, so the rotated real part is positive and the imaginary-to-real ratio tt satisfies ∣t∣≤1/2|t|\le1/2. Select the rotation for which kπ/4+arctan⁡tk\pi/4+\arctan t is the principal argument; at the negative real axis use the value π\pi. The ratio tt is rational, since the rotation can be performed, up to a positive scale, by repeated maps (a,b)↦(a+b,b−a)(a,b)\mapsto(a+b,b-a) or (a−b,a+b)(a-b,a+b). With

J(t)=∑j=023(−1)jt2j+12j+1,(96)J(t)=\sum_{j=0}^{23}\frac{(-1)^j t^{2j+1}}{2j+1}, \tag*{(96)}

substitute k(J(1/2)+J(1/3))+J(t)k(J(1/2) + J(1/3)) + J(t) for the argument. The identity

arctan⁡(1/2)+arctan⁡(1/3)=π/4\arctan(1/2) + \arctan(1/3) = \pi/4

follows from the tangent addition formula and the fact that both summands are positive and their sum is less than π/2\pi/2. The alternating-series estimate gives ∣arctan⁡t−J(t)∣≤∣t∣49/49|\arctan t - J(t)| \le|t|^{49}/49.

All positive inputs used here, including squared moduli, lie between 2−1002^{-100} and 21002^{100}. Indeed, the real arguments at the evaluation points are between .0007.0007 and 22, and the squared moduli of all complex arguments lie between (.016)4(.016)^4 and (1+.984)4(1+.984)^4, by the factor bounds following (92). Thus at most 100 scaling steps are needed. To make the error allowance explicit, set

h0=2(1/3)3737(1−1/9),j0=(1/2)4949.h_0 = \frac{2(1/3)^{37}}{37(1-1/9)}, \qquad j_0 = \frac{(1/2)^{49}}{49}.

A real log substitution costs at most 101h0101h_0, and an argument costs at most 9j09j_0. In particular 2⋅101h0+9j0<7⋅10−162\cdot101h_0+9j_0<7\cdot10^{-16}, so 10−1510^{-15} is an upper bound for the absolute error of a complex log. This also proves the coarser allowance 10−1110^{-11} per log.

All rational polynomial terms in (89) are evaluated exactly. The total absolute log coefficient mass in κ∥p∥∗2+∥v∥∗2/2\kappa\lVert p\rVert_*^2+\lVert v\rVert_*^2/2 is at most 2⋅102+132/2=284.52\cdot10^2+13^2/2=284.5, in XκX_\kappa it is less than 2⋅10+13+2=352\cdot10+13+2=35, and in YκY_\kappa it is less than 13+1=1413+1=14. Their resulting substitution errors are respectively less than 2.85⋅10−132.85\cdot10^{-13}, 3.5⋅10−143.5\cdot10^{-14}, and 1.4⋅10−141.4\cdot10^{-14}, all less than 10−810^{-8}. One may enclose each rational series term between consecutive multiples of 10−4010^{-40}, add the displayed remainder bounds with outward signs, and then propagate intervals linearly. This additional rounding changes the preceding allowances by less than 10−3210^{-32}. For a complex weight cc, use ℜ(cLog⁡z)=ℜ(c)ℜ(Log⁡z)−ℑ(c)ℑ(Log⁡z)\Re(c\operatorname{Log} z)=\Re(c)\Re(\operatorname{Log} z)-\Im(c)\Im(\operatorname{Log} z), retaining the sign of each weight in interval multiplication. This fully specifies a rational interval calculation; no numerical logarithms are needed.

For transparency, Table 2 gives all fifty point-value upper bounds. Its argument column is 1010x10^{10}x. A row marked BB is the left endpoint of the corresponding root bracket above; a row marked PP is a finite division point. Each displayed bound is a rational upper bound rounded upwards to twelve decimal places after the series remainder has been included. The largest unrounded interval width in this table is less than 2.16146856249281⋅10−162.16146856249281\cdot10^{-16}.

xx ranged(x)d(x)endpoint values∫ranged(x) dx\int_{\text{range}}d(x)\,dx
[0,25][0,25]969696,9696,9624002400
[25,29][25,29]146−2x146-2x96,8896,88368368
[29,65/2][29,65/2]888888,8888,88308308
[65/2,69/2][65/2,69/2]153−2x153-2x88,8488,84172172
[69/2,40][69/2,40]222−4x222-4x84,6284,62803/2803/2
[40,58][40,58]182−3x182-3x62,862,8630630
[58,59][58,59]124−2x124-2x8,68,677
[59,65][59,65]65−x65-x6,06,01818

Table 2.

κ\kappafunction1010x10^{10}xtypeupper bound
2XX-9601109148B-0.984034048775
2XX-8942317572B-0.984375363807
2XX-7608305633B-0.984034052640
2XX-6503394794B-0.984105522615
2XX-5185864065B-0.984034053414
2XX-4015634158B-0.984092061375
2XX-3108806646B-0.984034037901
2XX-2067921826B-0.984364031075
2XX-1589849496B-0.984034038450
2XX1531948062B-0.984033385315
2XX2072448179B-0.984776982913
2XX3208186484B-0.984034026898
κ\kappafunction1010x10^{10}xtypeupper bound
2XX4381119427B-0.984264010107
2XX5851354199B-0.984034029391
2XX7269030693B-0.984245044505
2XX8390277402B-0.984034016294
2XX9332614564B-0.984567630027
2XX9709786219B-0.984033926884
2YY-10000000000P-0.986727371546
2YY176402802B-1.608946411646
2YY330649406B-1.609949505120
2YY764952882B-1.608960295828
2YY1227250753B-1.609094597854
2YY2149465998B-1.608960426500
2YY3048189112B-1.608992193672
2YY4322699096B-1.608960428486
2YY5564757994B-1.608979509517
2YY6801929373B-1.608960430478
2YY8031988371B-1.608990548812
2YY8877037851B-1.608960429811
2YY9577761832B-1.609055802895
2YY9838463999B-1.608960412835
2YY9972727815B-1.609694899071
2YY9992037196B-1.608958123669
2YY2500000000P-1.608973617030
2YY5000000000P-1.608971701898
2YY7500000000P-1.608976908052
1XX-9917299785B-2.778491531574
1XX-2259572153B-1.324666731948
1XX2543808026B-1.324655807046
1XX4437270259B-1.352236629957
1XX6348298970B-1.324666329425
1XX-10000000000P-2.775818077526
1XX-5000000000P-1.544057819905
1XX5000000000P-1.347557680876
1YY532669786B-1.428286151250
1YY2504239325B-1.515602647362
1YY5701738806B-1.428335732372
1YY7966939383B-1.465686164672
1YY9454490138B-1.428335358167

Table 2 (PDF p. 39). Certified rational upper bounds at every candidate evaluation point.

The same calculation gives the following upper bounds for κ∥p∥∗2+12∥v∥∗2\kappa\lVert p\rVert_*^2+\frac{1}{2}\lVert v\rVert_*^2:

.778415976284(κ=2),.931985203901(κ=1)..778415976284 \quad(\kappa=2), \qquad.931985203901 \quad(\kappa=1).

In particular the rational substituted expressions, before their error allowances are added, satisfy the following convenient stronger cutoffs: Each entry means a strict upper bound. With the 10−810^{-8} allowance, the weaker cutoffs we shall actually use are

κ\kappaκ∥p∥∗2+∥v∥∗2/2\kappa\lVert p\rVert_*^2+\lVert v\rVert_*^2/2XX at listed pointsYY at listed points
2.77843−.98400-.98400−1.60891-1.60891
1.93205−1.32442-1.32442−1.42805-1.42805

Table 4.

κκ∥p∥∗2+12∥v∥∗2XY2.77844−.98399−1.608901.9321−1.3244−1.4280(97)\begin{array}{c|ccc} \kappa& \kappa\lVert p\rVert_*^2+\frac{1}{2}\lVert v\rVert_*^2 & X & Y \\ 2 & .77844 & -.98399 & -1.60890 \\ 1 & .9321 & -1.3244 & -1.4280 \tag*{(97)} \end{array}

The logarithm procedure also gives .693146<log⁡2<.693149.693146 < \log2 < .693149.

From bracket values to global suprema

A single derivative bound suffices on every whole closed bracket in the root table. All its points have distance greater than .0007.0007 from both 00 and 11. In particular the bracket nearest s=1s=1 has right endpoint 9992037198/10109992037198/10^{10}, whose distance from 11 is exactly .0007962802.0007962802. For ∣x∣≤1|x|\leq1, the identity Uk−1(cos⁡θ)=sin⁡(kθ)/sin⁡θU_{k-1}(\cos\theta)=\sin(k\theta)/\sin\theta gives ∣Uk−1(x)∣≤k|U_{k-1}(x)|\leq k, including its endpoint limits. Using the coefficient and base bounds above, the polynomial part of Xκ′X_\kappa' is at most 4∑k=110k+10=2304\sum_{k=1}^{10} k+10=230 in absolute value; its endpoint terms are bounded by (19/48+1/12)/.0007<685(19/48+1/12)/.0007<685; its x/(1+x2)x/(1+x^2) term is less than 33; and its multiplier term is less than 4λ1<104\lambda_1<10. Its two log-tail derivatives are bounded by

4⋅10(.06)2+13.016<11924.\frac{4\cdot10}{(.06)^2}+\frac{13}{.016}<11924.

Consequently ∣Xκ′∣<12852<120000|X_\kappa'|<12852<120000 throughout every listed bracket. For Yκ′Y_\kappa' the polynomial part is at most 110110, the endpoint terms are bounded by (7/48+1/12)/.0007<328(7/48+1/12)/.0007<328, and the log tails are bounded by 26/(.016)2=101562.526/(.016)^2=101562.5. Hence ∣Yκ′∣<102001<120000|Y_\kappa'|<102001<120000 on every whole bracket as well. These estimates hold for both cases, with empty tails in case 1.

It follows from the mean value theorem that moving from a left bracket endpoint to its stationary point increases either value by less than

120000⋅21010=.000024.120000\cdot\frac{2}{10^{10}}=.000024.

Every interior stationary point is in one of these brackets or is a division point. All finite division points have been included in Table 2: −1-1 for X2X_2; 1/4,1/2,3/41/4,1/2,3/4 for Y2Y_2; and −1,−1/2,1/2-1,-1/2,1/2 for X1X_1. The remaining endpoints are singular and have limit −∞-\infty: x→0±x\to0^\pm and x→1−x\to1^- for XκX_\kappa, and x→0+x\to0^+ and x→1−x\to1^- for YκY_\kappa. The bounded tangent and multiplier terms do not alter these limits. Thus the root exhaustion, the finite endpoint values, and the derivative estimate together certify the global suprema, not merely the sampled values.

Finally −1+α+γ=−11/16-1+\alpha+\gamma=-11/16. Apply Proposition 6.1, use (97), and add .000024.000024 for each supremum. Since log⁡2>.693146\log2>.693146, the right side is strictly less than, respectively,

−1116(.693146)+.77844−.98399−1.60890+.000048=−2.290939875,-\frac{11}{16}(.693146)+.77844-.98399-1.60890+.000048=-2.290939875,
−1116(.693146)+.9321−1.3244−1.4280+.000048=−2.296789875.-\frac{11}{16}(.693146)+.9321-1.3244-1.4280+.000048=-2.296789875.

Taking the larger of these constants proves Proposition 7.1.

Conclusion

Proof of Theorem 1.1. Suppose that GG is rational. Proposition 2.1 then makes ΔN\Delta_N rational for every NN. By Proposition 4.1, Δp≠0\Delta_p \ne0 for every sufficiently large prime pp. Apply the product-formula lower bound of Proposition 3.4 along this sequence:

lim inf⁡p→∞p prime(log⁡∣Δp∣(48p)2−12log⁡2)>−2.29084.\liminf_{\substack{p \to\infty\\ p\ \mathrm{prime}}}\left(\frac{\log|\Delta_p|}{(48p)^2}-\frac{1}{2}\log2\right)>-2.29084.

Proposition 7.1 gives, along the same sequence, an upper limit strictly smaller than −2.2909-2.2909. Since −2.29084>−2.2909-2.29084>-2.2909, this is a contradiction. Therefore GG is irrational. □\square

Hyperbolic volumes. Normalize sectional curvature to −1-1. Agol’s theorem identifies 4G4G as the minimum volume of an orientable complete finite-volume hyperbolic three-manifold with exactly two cusps, attained by the Whitehead-link and (−2,3,8)(-2,3,8)-pretzel-link complements [1], Introduction and Theorem 3.6]. Theorem 1.1 therefore makes this minimum and both link volumes irrational. More generally, every orientable arithmetic hyperbolic three-orbifold defined over Q(i)\mathbb{Q}(i) has irrational volume. Here its lattice Γ≤PSL⁡2(C)\Gamma\le\operatorname{PSL}_2(\mathbb{C}) is, up to conjugacy, commensurable with the projective norm-one group Γ1(O)=O1/{±1}\Gamma^1(\mathcal{O})=\mathcal{O}^1/\{\pm1\} of a maximal order O\mathcal{O} in some quaternion algebra B/Q(i)B/\mathbb{Q}(i) [24], Definition 38.3.4]. For each such algebra, with finite reduced discriminant D\mathcal{D}, the volume formula gives

vol⁡(Γ1(O)\H3)=G3∏p∣D(Np−1),\operatorname{vol}\left(\Gamma^1(\mathcal{O})\backslash\mathbb{H}^3\right)=\frac{G}{3}\prod_{\mathfrak{p}\mid\mathcal{D}}(N\mathfrak{p}-1),

where Np=∣Z[i]/p∣N\mathfrak{p}=|\mathbb{Z}[i]/\mathfrak{p}|; this follows by inserting ζQ(i)(2)=ζ(2)L(2,χ−4)=(π2/6)G\zeta_{\mathbb{Q}(i)}(2)=\zeta(2)L(2,\chi_{-4})=(\pi^2/6)G into [24], Theorem 39.1.13]. After conjugating, a common finite-index subgroup HH gives

vol⁡(Γ\H3)=[Γ1(O):H][Γ:H]vol⁡(Γ1(O)\H3),\operatorname{vol}(\Gamma\backslash\mathbb{H}^3)=\frac{[\Gamma^1(\mathcal{O}):H]}{[\Gamma:H]}\operatorname{vol}\left(\Gamma^1(\mathcal{O})\backslash\mathbb{H}^3\right),

so this volume is a positive rational multiple of GG and is irrational. In the split case B=M2(Q(i))B=M_2(\mathbb{Q}(i)), O=M2(Z[i])\mathcal{O}=M_2(\mathbb{Z}[i]), the empty product yields vol⁡(PSL⁡2(Z[i])\H3)=G/3\operatorname{vol}(\operatorname{PSL}_2(\mathbb{Z}[i])\backslash\mathbb{H}^3)=G/3 [24], Example 39.1.16].

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