Catalan's constant is irrational
Abstract
We prove that Catalan's constant is irrational.
Introduction
Catalan’s constant is the real number
It is the simplest even value of the Dirichlet beta function, or equivalently 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 . 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 is irrational [19]. Zudilin reduced this finite collection to the six values through [28]. Lai and Zhou subsequently reduced it to the five values [15]. Fischler obtained stronger quantitative results for irrationality and linear independence in families of Dirichlet -values [9]. Such family results guarantee irrational members without identifying the particular value .
For an individual value, the basic approximation criterion requires nonzero integer linear forms that tend to zero. Convergence of to alone does not suffice: multiplication by may remove the decay. Apéry’s recurrence constructions for and [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 for all sufficiently large [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 tend to zero.
Results at other characters and other places give useful comparisons. Calegari, Dimitrov and Tang proved the -linear independence of 1, and [5]. Their character has conductor 3, rather than the conductor 4 of . 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 [4]. As explained by Calegari, Dimitrov and Tang [6], the related real identity contains an additional 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 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 of size whose entries combine moments of two elementary kernels. Each moment is a rational linear combination of 1, and . 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 term in every entry. Consequently, the single hypothesis 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 therefore give a lower bound on . 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 and 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 , when 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
Under the rationality hypothesis, Proposition 3.4 gives along every sequence of nonzero determinants, and Proposition 4.1 supplies such a sequence with prime. Independently, Proposition 7.1 gives . 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 and ; for real estimates we put . Constants in asymptotic estimates may depend on the fixed rational value hypothetically assigned to , but never on 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 . The row design serves two purposes: Taylor contact cancels , 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 , set
Write , with the positive branch on , and . Then
The involution denoted by a star sends to , fixes , and sends to . For , define
Here and below identities involving near zero use its Taylor branch with .
Let be the Chebyshev polynomials, normalized by , , , , and the recurrence . The associated Laurent expressions are the standard formulas [16], Equations (18.5.1)–(18.5.2). Since and , Equation (3) becomes, with ,
In particular these are integer polynomials; the second is zero when . The inequality gives
Moreover , so that
For nonnegative integers , define
Extend these expressions bilinearly to polynomial arguments. The integrals converge absolutely. Indeed, for ,
and is integrable on . This dominates the absolute integrand after integration in ; the corresponding assertion for is weaker. Bounded polynomial factors preserve this domination. It also justifies termwise integration of the geometric series used below.
For each raw column index , let
The determinant used throughout the proof is
Thus, if is the by matrix with columns , the matrix in Equation (7) is , where the integer matrix has entries
A binomial coefficient outside its usual range is zero. In particular, all raw columns required by the filter lie in the contact range .
Moment evaluation and cancellation
Set
and use the convention . The moment formula follows from symmetry, , and integration by parts, which gives for . Throughout, means zero unless is a nonnegative integer. Termwise integration gives
Put and . Their boundary recurrences are
For the first recurrence, the moment recurrence gives the termwise identity
The right side telescopes, since as . The same identity for , with the term multiplied by omitted, gives . For the last recurrence, shifting the first series by two leaves, for , the terms
Their sum is ; the remaining boundary term is , giving the claimed result. The two independent starting values are
To verify the first, integrate in and put on the positive half interval. This gives
The last equality follows on setting and integrating the geometric series for against . For the other start, Equation (10) and Equation (9) yield
The differential equation , with , determines the Taylor series of as . Its nonnegative coefficients allow passage to by monotone convergence, giving . For completeness, integrating
over and letting gives . Here the imaginary part is uniformly bounded and tends to , so dominated convergence applies. The odd sum is , establishing the final equality in Equation (12).
Define by the rational recurrences (10)–(11), replacing only the starts and by zero. More explicitly, let satisfy Equation (11) with
Then the following formulas specify the whole array without ambiguity:
Empty sums are zero. We shall also use the algebraic convention
this does not define an additional integral. Let , with , and put
The evaluations of the moments are
Indeed, the homogeneous parts of the minus and plus boundary recurrences propagate the starts by precisely these two -kernels. Diagonal reduction preserves both index differences. The formula for follows from
by partial fractions when , and directly when .
For later valuation calculations, it is useful to solve the rational boundary recurrences explicitly. Define
Then
To see this, divide each recurrence by the appropriate and use the ratio in (18). For the minus recurrence the inhomogeneous increment after division is when is even and when is odd. The odd case starts with . For the plus recurrence the increment is , with initial values and . This proves all the formulas, including their empty-sum cases.
Proposition 2.1. Each raw entry lies in . Consequently, if , then for every positive integer .
Proof. Since , the coefficient of in is
by Equation (5) and . More explicitly,
The assertion follows from the rational arrays and the integer filter.
A uniform estimate at the prime two
We normalize and set . In the rest of this section assume , viewed also in . Constants allowed to depend on this fixed rational number will carry a subscript .
Proposition 2.2. With , one has, for every positive integer ,
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:
For even , the factorial formula implies
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 , every nonzero term of (22) therefore has valuation at least
The middle expression tends to infinity with . Thus the infinite tail converges, and the final bound is uniform over all its terms and over . In particular .
The diagonal recurrence and both boundary recurrences hold for 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 and the rational part . Write
These are fixed elements of , independent of and of all degree indices, and
Contracting the last kernel with and applying (5) expresses each raw column as the sum of three column vectors:
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 and write the resulting polynomials as
All sums here are finite. Induction in the Chebyshev recurrence shows that the coefficient of in has valuation at least and that in has valuation at least ; the assertion at uses only integrality. Hence
Convolution with uses integer coefficients. Combining Equations (23) and (27), every entry of has valuation at least .
Set . Equation (16) gives
Indeed, the harmonic sum of order has valuation at least ; when , division by loses at most another . The ultrametric inequality introduces no loss for the number of terms in these sums or in polynomial convolutions.
Choose a fixed nonnegative integer with . Let and . The exceptional columns in Equation (25) have expansions
where
Only with a nonzero coefficient vector need be included, so all moment indices in these expressions are between and . Since , every contributing summand yields
We now apply the bounds in the order needed to preserve alternation. First expand by Cauchy–Binet. Each term is an integer times a full raw minor, whose column indices are distinct. Fix such a minor, expand each column by Equation (25), and consider a term containing columns of type , of type , and columns of type .
Expand the columns through the fixed vectors and the columns through the fixed vectors . 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
The already fixed, distinct raw column indices also give
Equations (27) and (29) show that the first group contributes at least . The second contributes at least ; the smoothed columns contribute at least . Thus every term, every raw minor, and finally the filtered determinant satisfies
Finite summation causes no further loss in valuation.
For completeness minimize over real ; this can only lower the minimum over integer choices. Since , the expression decreases as increases up to , so its minimum occurs at . Using , the remaining expression is
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 , so that the columns of Section 2 are rational. We regard each as a column in . For an odd prime , reduction modulo always means reduction of a member of ; in particular, every congruence below includes the assertion that its two sides are locally integral.
The raw matrix has columns, whereas the filtered determinant has size . At the large primes treated first, each raw column has at most two powers of in its denominator. We shall make invertible column changes over and bound how many columns can still have denominator or . 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 ; for a second reduction identifies the remaining residues after multiplication by .
Digit reduction of the rational moments
We first prove the reductions needed at primes
We may suppose that does not divide the denominator of : as tends to infinity, every fixed denominator prime eventually lies below . Put
We set outside . Within this range,
The first identity follows from ; the second follows by reversing the coefficients of .
Lemma 3.1 (Digit reductions). For , let
Then , and, with the convention ,
Proof. We first give the parity and carry calculation for the factors in the explicit formulas of Section 2. Write , , . Since , all factors at the reduced indices are -adic units. If is even, then
Indeed, when is even, is even and the base- digits of are . Expanding modulo by gives the first assertion, including the factor . When is odd, is odd and the low digit of is . The factorial formula for has exactly one carry:
and there is no contribution from . Thus, for positive even , is either zero or one. It is one precisely when or is odd.
For odd one has
If is odd, both and are units by the same digit calculation. If is even, is odd. At , digit expansion gives
The recurrence , applied through , now proves the nonzero case of Equation (33). Its denominators on this interval are units. Since for odd and is zero for even , these formulas imply
This includes , using .
We next reduce the two starting arrays. For , , we claim
For odd , write the first formula as
Only , with odd, survives in the sum. If is odd the first factor vanishes modulo . If is even, is odd and (33) gives , as required.
For even the quantities , for positive even , are integral. Thus
is integral, and is zero modulo when is odd. If is even, then is even. The nonzero summands form precisely the complete blocks
To see completeness, the indices with odd lie immediately below an even multiple , while that multiple supplies . The upper limit contains the whole block ending at , and the next such block begins at . No partial block is present. The recurrence, started at and followed downwards, gives
For example, each downward step from to multiplies this quantity by ; these multipliers give successively modulo . Finally, with ,
The equality is the coefficient identity obtained from . Multiplying the block sums by proves the first congruence of (35) also for even .
For the second congruence, suppose first that is even. In
every term with vanishes modulo , because . At , necessarily is even and . The result is when is even, and zero when is odd. For odd instead write the expression as
The reciprocal is integral. Again only multiples can survive; there , and the two factors of cancel. If is odd the prefactor is zero. This proves the second congruence in every case and also proves the local integrality asserted in (35).
If , put . Then and . The diagonal reduction is
After multiplication by , terms with vanish by (34). At the surviving term is . The first starting congruence therefore gives
If , put , so and . Now
For a multiple in the sum,
(34) gives the reduced summand . A possible first multiple with contributes zero, since its reduced moment is . Thus the reduced sum is over , as in the formula for . The expression for is also , so . When , , the sum is empty and the starting term is exactly . This proves the first assertion of (31), including its boundary convention. The reduced array indices are less than ; even the boundary index is less than . Thus the explicit rational formulas show that all quantities on its right side are integral at .
For , write and . Because , the harmonic sums satisfy
The diagonal formula follows at once. Off the diagonal, if , the denominator is a unit and is zero modulo . If the residues agree, with a unit; substituting the first harmonic congruence gives . This also proves integrality of .
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 in its denominator. For a fixed residue , define column vectors over by
Here denote the vectors of all row polynomials; the dependence of these extracted vectors on is understood. Their supports are finite. Lemma 3.1, gathered by coefficient residue, gives
For a term , its unique residue satisfies , so that it contributes exactly to , including . The reduction survives only when , which is precisely the extraction defining . The coefficient of in is a sum of integral multiples of . These coefficients are integral at every odd prime, so this term disappears after multiplication by . Every raw column therefore lies in .
If , the degree bounds and show that vanish for . Put
The needed small values of the reduced arrays are
Consequently, whenever the indicated columns exist,
Since and have no terms below degree , for .
We record explicitly how changes in the full column pool will be used. Let be the by matrix of all raw columns. If and every full minor of has valuation at least , the same holds for every full minor of by Cauchy–Binet. The coefficients in this expansion are minors of the integral matrix . Applying Cauchy–Binet once more to the integer matrix defining the prescribed filter gives . This transfer applies even when the columns or their leading residues are linearly dependent.
For , use each pair of columns with
Their number is exactly
Replacing its high column by the sum of the pair is an integral elementary column operation with integral inverse. The pair sum lies in by (37); all other columns still lie in . These pairs are disjoint, since . Any selection of columns from the pool of contains at least of the improved columns. The transfer just explained gives
The central layer and integral column elimination
For , the next lemma identifies the residues of central columns after multiplication by . It expresses them in terms of the same vectors that occur in the leading residues of noncentral columns. The elimination proof will retain noncentral columns and use times those columns to cancel the corresponding terms.
Lemma 3.2 (Central layer). Suppose , and write and . For every central column, by which we mean
one has
All denominators occurring here are units at $p.
Proof. For every contributing row degree , and . Hence , and the starting value or in the diagonal reduction is integral at . In either case that reduction can be written as the starting value minus
Here . By Equation (34), a nonzero reduction after multiplication by requires , and then
Such an index necessarily has . Conversely its coefficient can be collected over all with no truncation, since and . Thus
The extracted vector in each summand is the one belonging to that residue . For , the harmonic sums have a pole only if with . The denominator is then a unit: equality modulo would require . Therefore
All other are integral. Combining these two calculations with the factor proves Equation (39); the term is integral here as before.
We now carry out these cancellations in the full column pool. In the resulting pool, will count the retained columns with possible denominator , and will bound the number of other columns with possible denominator ; every remaining column will be integral. The proof first uses the 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 after an invertible column change.
Lemma 3.3 (Elimination over the local integers). For , define
Then every full raw minor, and hence the filtered determinant, satisfies
Proof. The noncentral columns are precisely the high columns for and the low columns for . Empty ranges are allowed. Indeed , , and . For
retain the low column and replace the high column by . Let
be the number of these pair sums. Each lies in . Retain every other noncentral column as a column in , whether or not its leading residue depends on the others. The number of columns so retained is
It equals the stated . To verify the identity, split into , , , and ; use in the last two cases. The resulting formulas are respectively , , , and .
These retained columns furnish a representative of every vector with except possibly those in
For , the retained low column has leading residue . For , the unpaired high column has leading residue , because makes . These two ranges exhaust the complement of . Denote the size of by
For each represented residue choose a retained column and a sign such that . For every central , choose reducing to and replace that column by
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 and satisfy
This step does not require any information about the next coefficient of . Explicitly, if with integral lifts , then ; its unknown second coefficient is already integral.
Let be the number of central columns. Their scaled residues define a linear map
Its image is contained in the span of the exceptional vectors, so . Choose a basis of whose last vectors form a basis of . Lift its basis matrix arbitrarily to a matrix . Its determinant is a unit, so and the adjugate formula gives . Applying this change to the central columns leaves at most columns in ; the other are integral, because their scaled residues vanish and they already belonged to . If this step is the empty identity.
The resulting full pool consequently contains columns with possible denominator , at most other columns with possible denominator , 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 columns come from the first group and from the second, the loss is at most . The inequalities
hold since , , and . All changes used above and their inverses are integral, so the Cauchy–Binet transfer proves Equation (40) for all original full minors and for .
The omission of the optional pair at is harmless: its physical column is included in . The preceding proof also covers and . In particular, if , there are no high or low noncentral columns, , and ; all raw columns are central. At the formal endpoint , all of them are integral.
Summing the prime losses
For a nonzero rational determinant, the valuations weighted by sum to its ordinary logarithmic absolute value. We now combine the odd-prime estimates with the bound at to obtain the lower bound used in the final comparison.
Proposition 3.4 (Finite-place bound). Assume . Along any sequence of positive integers for which , one has
Proof. We first compute the complete loss function. Put . For , Equation (38) has
For this is zero; for it is ; and for it is . Only the part exceeding improves a full minor. For , the formulas of Lemma 3.3 give the following values; the table retains the intermediate breakpoint at which the counting formula changes:
The entries agree at their common endpoints. Taking yields the additional breakpoint . Thus for every relevant prime the valuation is bounded below by , where is continuous, is zero for , and has the following exact pieces:
In particular,
For completeness, the omitted small odd primes cost only in the logarithm of the determinant. At any odd prime, the factorial formula gives
Each factorial-floor difference is zero or one. The displayed formulas for , , , , and diagonal reduction then give, with an absolute constant and with denoting the positive reduced denominator of ,
For instance, each summand in uses at most two powers of and two powers of 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 , and summing it over with weights gives
This estimate uses only that the number of such primes is at most . For sufficiently large , every prime is integral throughout the calculation: factorials and degree denominators introduce only prime factors at most , and the fixed denominator of has no prime factor above . Thus these primes give no negative contribution.
We use the classical prime number theorem in the form
see [25], Step VI, p. 707, which presents Newman’s analytic proof. The weighted consequence needed here follows directly:
Here is a direct justification of the weight. For a fixed partition , the prime number theorem gives
Upper and lower step functions formed from the supremum and infimum of on each interval bound the weighted sum. Their limiting difference tends to zero as the mesh decreases, since is uniformly continuous. Individual partition endpoints change the sum by at most . This proves Equation (44). The prime 2 and the primes below may be removed from that sum at cost , using and the elementary bound .
Combining these estimates with Equation (43) and gives
Proposition 2.2, with , gives
For a nonzero rational number its numerator and denominator factorizations give the exact identity
Subtracting after dividing by proves the non-strict inequality in Equation (42).
The final numerical comparison also has a short rational check. The identity
and its positive geometric tail give
Consequently the lower constant is strictly larger than
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 . For every sufficiently large prime , the determinant with scale parameter satisfies
In particular, for every sufficiently large prime .
We prove the proposition by reducing a matrix of size to three fixed rational matrices of size . Throughout this section, an underlined row polynomial is formed with , so that
In addition to the usual rows , define the auxiliary row 48 by exactly the formulas in Equation (3). For and , put
Here and act linearly on the first polynomial argument. Thus is a fixed rational by matrix. Define
The arithmetic certificate below proves
First we show why these three fixed assertions imply the proposition.
Two palindromic bases
Let be an odd prime and work over . The vector space
has dimension : its coefficients of determine all its coefficients. For , consider
Both families belong to . The lowest terms of and are respectively and . Triangularity of their coefficients in degrees proves that each family is a basis. Define by
The same lowest-term comparison gives
In particular, invertibility of this varying-size matrix introduces no exceptional odd primes.
Define and for , and write . Equivalently,
where are the standard coordinate vectors. The explicit forms are
the latter formula gives zero also when . Their sum satisfies
because in . With
division by therefore proves the rational-function identity
Frobenius and the two extraction shifts
Set , and write every row index uniquely as , with and . Put , , and . Frobenius gives
Using , , and in the row definition gives
Here the single factor in the second term creates exactly one successor row; its index is at most 48.
To separate the polynomial parts, star fixes and negates . Moreover , so the row identities give
Taking the star-invariant part of Equation (51) and then its anti-invariant part, and cancelling the nonzero rational function in the latter, yields two separate polynomial identities:
These are polynomial identities since the row polynomials on both sides are polynomials, and substitution is injective on .
In the notation of (36), the extractions for a fixed residue are
Every polynomial has a unique expression . Consequently Equations (52) and (53) give
Thus the in the first identity is exactly consumed by the in the extraction. The extraction has no such shift. Negative coefficient indices are zero; in particular here.
There is a degree issue at the last successor row which is useful to make explicit. The auxiliary polynomials have
These coefficients must be retained, even though the first 48 base rows have minimum degrees at least 19 and 20. For the last block , , (49) gives for , and . The successor contribution in either or therefore starts at
The first-row contribution starts no earlier than . Directly from the original rows, , so and also start at ; since , this agrees with the extraction. The leading Chebyshev coefficients are powers of , hence are nonzero in odd characteristic. When , the successor term is zero and the first term starts at . The lower degree of the auxiliary row therefore introduces no forbidden coefficient into the growing matrix. Its contact identity is also valid: , since .
The residue blocks and their determinant
For this paragraph take and exclude primes dividing the denominator of the hypothesized rational number . Then
so Equations (31) and (36) apply at the same prime used as the scale parameter. To spell out the role of , the rational raw entry is
The last sum is -integral: its polynomial coefficients are integers, and every is integral at an odd prime. The term therefore reduces to zero after multiplication by . All entries of the scaled matrix are -integral by the cited layer formulas. Substitution of Equation (54) into Equation (36) gives the reduced raw entry
This applies to every raw column in the specified range. The base entries here have denominators with prime factors at most , as the rational recipes below also show, so their reductions exist for .
The integer filter also respects residues. Write the column index uniquely as , where and . In ,
Multiplying each raw entry by before reduction makes this polynomial congruence applicable to the column operation: coefficient differences divisible by multiply integral scaled entries. The fourth finite difference on the right uses exactly the five base raw indices , all in . Each of the residue groups thus contains exactly 48 base filtered columns, and no operation changes .
Order rows by and columns by . The reduction of the scaled by matrix has block
Writing this matrix as makes its orientation explicit:
Indeed , which explains both the transpose and the side of multiplication.
The nonzero indices fall into disjoint pairs . On each pair the vectors and are eigenvectors of with eigenvalues and . Together with , of eigenvalue zero, they form a basis since is invertible. Thus the eigenvalue multiplicities of are for , respectively. A similarity on the -dimensional factor in (58) now proves the exact identity in this block ordering:
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 without any numerical approximation. First form , for odd , and for even . Set
and use
On , , form
Thus . With and , set
This gives , with the sign on its diagonal included.
For the polynomial construction define
and, for either family , use
These are ordinary integer polynomials: they are and . For let and form the coefficient vectors, in degrees , of
They are exactly and . Contract them with the arrays to obtain the length-52 vector
Replace a vector four times successively by its vector of consecutive differences . The resulting length-48 vector is row of . 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 above shifts exponents of polynomials divisible by and introduces no scalar denominator. Consequently the entire construction can be performed over and agrees with reduction of the rational matrices.
For completeness, the elimination rule producing the certificate is as follows. For , start with row vectors , , in increasing order. At step , if , swap row with the first later row having a nonzero entry in column . Record and replace every row by
There are no swaps for . For the only swaps, using indices starting at zero, are and at their respective steps. The pivots are given in Table 1; its three lines for each list the pivots consecutively, with 16 entries per line.
| range | ||
Table 1.
| Successive pivots in | |
| 0 | 60, 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 |
| 1 | 38, 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 |
| 82, 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 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 . 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 consist of 2, the primes dividing the denominator of , the primes dividing any denominator of an entry of , 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 outside , all three fixed matrices reduce to invertible matrices over . Equation (48) and the factorization in Equation (59) then show that .
Let be the original filtered matrix whose determinant is . Its size is , and is integral over the local ring . Its reduction, after the stated row and column permutations, is . Therefore
is a unit in . This proves . Every sufficiently large prime is outside and exceeds 260, as required.
The real-place determinant estimates
We estimate the determinant defined in (7) without a rationality assumption. Write
In particular, and . For a real list of length , let
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 on , and set
The value at is immaterial; the displayed expression has a finite limit there because is a polynomial. The determinant entries are exactly
The measure has mass . The scalar majorant is finite: integration in gives at worst a logarithmic singularity at , which is integrable against . The functions and are bounded for each fixed . 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
Here and . To see the factor at each application directly, expand the two determinants sharing an integration list: every one of the 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
For completeness, multiplying by the denominator gives a polynomial alternating separately in and , of degree at most in each individual variable. Dividing by therefore leaves a constant. Expanding at , the first nonzero homogeneous part of the determinant is , so that constant is one. Also .
Use the real coordinate
The coordinate maps bijectively to . Except on a set of measure zero we may assume that all are distinct and nonzero. Define
The subscripts n and f refer to the near and far evaluations at and , respectively, inside and outside the unit circle. Indeed, , so the negative half-interval has the row , whereas the positive half-interval has . Factoring out of the th column therefore gives the exact identity
In particular, there is one Vandermonde and two 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 ; the denominator is nonzero on both half-intervals. For ,
Thus a holomorphic function with values turns the expression in parentheses into . We shall bound the resulting evaluation determinant by controlling the norm of this function. The first estimate applies when
The following construction is uniform even when the nodes cluster.
Lemma 5.1. Let be distinct nonzero real numbers in satisfying (66). There is a function holomorphic on a neighborhood of the closed unit disk such that
The neighborhood may depend on the node list; the displayed bound does not.
Proof. Set
For and a real with , the logarithmic derivative of one factor on the imaginary diameter is
The inequality follows on dividing the denominator by and using . Integration from to gives
The same holds at , and . For , each factor has modulus at least one because . Consequently
Orient the fixed segment upwards, and, off that segment, define the fixed Cauchy integral
Write , , with the sign specifying the left or right half-plane, and put
The density is holomorphic in a neighborhood of every point of , since its poles are nonzero and real. Local contour deformation and the Cauchy integral formula show that the left lateral value of minus its right lateral value is . More explicitly, move a short upward piece of to its left; the closed contour formed by the original piece followed by the reversed new piece is positively oriented, and its residue at is . Thus the difference of the two local analytic continuations in Equation (68) is . This proves holomorphic gluing across the segment, including its two crossings of the unit circle.
For each fixed node list the poles of and the endpoints of 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 is holomorphic on that neighborhood. Since and is regular at the nonzero real point , the required interpolation follows.
It remains to bound this one fixed function. In either radius- disk about or , the quantities , , and are at least . Hence is nonzero there and
As , integration along a segment in either disk gives whenever or .
If and , the original segment has distance at least from ; its length is at most . Equation (67) gives . If instead , is near one of . Near , replace the portion of from to by the three sides of the rectangle whose other vertical side has real part . Near , make the identical replacement of the bottom portion with imaginary parts from to . The swept rectangle is in the opposite half-plane from , and it is contained in the radius- disk about the relevant endpoint. It contains neither nor a pole of , so this deformation leaves the value of the fixed integral unchanged.
Each new side is within of or . The new contour has length at most and distance at least from . For the latter assertion the vertical side has horizontal separation at least , the outer horizontal side has vertical separation at least , and the inner horizontal side and remaining diameter have separation at least
Thus 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 on , so Equation (68) gives there. At 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),
In particular, the prefactor is uniformly in the nodes.
Proof. Let , and give
the norm inherited from the Hilbert space of analytic functions with square-summable Taylor coefficients:
For each fixed list the zeros of lie outside the closed disk, so this is a well-defined norm. Define and . This is a complex-linear involution and an isometry: on the circle , while the real coefficients of imply .
The functions belong to . They are linearly independent, as their distinct poles show, and hence form a basis. For , the Taylor coefficient inner product gives . If is orthogonal projection from to , it follows that
Multiplication by the function of Lemma 5.1 has operator norm at most . Consequently
Let send to . It is invertible because a polynomial of degree less than cannot vanish at all the distinct nodes. For , . Since and projection preserves function values, applying this identity to cancels the factors algebraically and gives
In the basis , , and has determinant of absolute value one. Hence the determinant of the mixed evaluations divided by has absolute value . 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 and , (70) follows.
Proposition 5.3 (Hadamard estimate). For every distinct nonzero real list in , and in particular when (66) fails,
The factor is ; the power is retained in the principal integrand below.
Proof. Expand the determinant by choosing one sheet in each column. For the absolute monomial determinant is . Write with . Then
The last product is times the Vandermonde on the unit-circle points . Its monomial matrix has column norms , so Hadamard’s inequality gives the bound . The ratio of the remaining weight on the far sheet to that on the near sheet is
Thus all the weights can be bounded by their far-sheet values. Finally the sum of absolute sheet coefficients is at most , proving the result.
The two principal integrands
To state precisely the quantities needed for the real-place energy estimate, put and
Define
Let be the set of interior configurations with distinct nonzero satisfying (66), and let be its complementary case among such configurations. We use the interpolation estimate on and the Hadamard estimate on ; the latter estimate is valid in both cases. After substituting , is the exponent of the absolute -Vandermonde in the corresponding majorant: for the interpolation estimate and for the Hadamard estimate. The always range over .
The preceding propositions and Equation (64) give
Indeed has total mass , and the two case sets partition its domain up to a null set. In logarithmic form, with , this yields
The error is independent of both integration lists. Factorials, measure masses, and sheet sums have all been accounted for explicitly.
Repeated nonzero give a zero original row determinant and are also handled by continuity in the first estimate; repeated give a zero 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 , the two cases , and the nonnegative majorants of Equation (73). Put
Here is a scalar function, distinct from the row polynomials . For a real sequence with for some and , define
These series converge uniformly for .
The sequences below are freely chosen trial coefficients. The inequality 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 be two such sequences, and take in case or any fixed in case . Uniformly over configurations in the indicated case,
Consequently the maximum of the right sides for the two cases bounds
We use .
Proof. For a one-variable function , write , and similarly for . In a double average we sum over ordered pairs and divide by ; a double average without the subscript includes every pair. The substitution gives
In particular, the exponent of in either majorant is exactly
there is no singular finite-size correction at . Keeping the other powers as well gives the following exact identity:
The displayed correction involving is bounded by 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 . If , , and , set
This follows from the power series for and the addition formula for cosines. Letting at distinct gives , since the product of the two chord lengths is . The other two identities, for , are
For the last identity the logarithm is the logarithm of a positive real number, equal to . 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 , the identity identifies the scales and used in the following damping factors.
Fix and define
Replace the cosine kernel in Equation (79) by and the cosine kernel by .
Replace the power kernel by
and the cross kernel by
Every original kernel is bounded above by its replacement plus , with an absolute constant independent of the configuration. We give the global estimates, including the signs in the power kernel.
For and ,
Thus each of the cosine kernels costs at most in the comparison, and here . For the power kernel put and . If , monotonicity gives . If , write ; then
For the cross kernel write , , , , and . Then . On we have and . On we have and . On we have
Consequently on all three domains, and in the direction required for an upper bound,
For each fixed finite interior configuration all the damped series are absolutely convergent. Put
Inserting the diagonals gives the two exact negative-square identities
In particular the and in the cross term are exactly the same ones as in the pure power and cosine terms. Adding the constants in these identities to gives
The omitted-diagonal constants are part of the next correction. We control this correction before taking any supremum. A damped cosine diagonal is bounded below by , so the cosine diagonals cost . For the power diagonal,
Since when , their upward correction is at most
Finally,
so the cosine diagonals cost at most . The cross term already contains all pairs. There is no loss involving or .
For real numbers we have . Apply this to the first square with , and to the second with ; after dividing by and summing, the two inequalities are
For , failure of Equation (66) says
It follows that adding costs at most for an upper bound; this explains both and its sign in Equation (77).
Let , , and denote the three series in (76) with factors , , and , respectively. The preceding pointwise bounds reduce the upper estimate to the sum of two one-variable suprema, with functions
plus the constant in (77) and . All bounded finite-size terms from (79) are included in this last error. For both weakened endpoint coefficients are at least .
Set and , which are finite. The inequality shows uniformly that
Thus the changes in the two tangent functions are at most and , respectively. These are common summable bounds; no uniform convergence of the raw square series is required. All remaining nonsingular terms are bounded uniformly in and . The unchanged positive coefficients , and the weakened coefficients at least force uniform decay to near , , , and . The values at the fixed comparison points , have a common finite lower bound. For the first supremum we include the regular endpoint by continuous extension. There are therefore compact sets, independent of and small , containing maximizers for both suprema. On these sets the functions converge uniformly as with fixed, and subsequently as . Taking the limits in precisely this order removes 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),
The separate bounds for the majorants in cases and are and , respectively.
Exact trial sequences
For take and . For take and . Write each sequence as
The following tables give all coefficients. Every integer coefficient in them is to be multiplied by . The finite parts are listed in increasing order of :
| finite coefficients | ||||||
| 2 | 45559127 | -50750856 | -6578767 | 13970217 | 4786184 | |
| -4292433 | -576704 | 1311615 | 671564 | -346453 | ||
| 2 | -23910158 | 21152432 | -2885110 | -11558199 | 6485289 | |
| 1456821 | -1912176 | -2263524 | 2742210 | -1162454 |
Table 1 (PDF p. 35).
| finite coefficients | |||||
| 1 | 11913521 | -79993701 | -21956443 | 37903579 | |
| 10744022 | -2073193 | 570246 | -24939103 | ||
| 1 | -89913025 | 52874280 | 45168341 | -30708629 | |
| -19269841 | 33922112 | 9819141 | -16992389 |
Table 2 (PDF p. 35).
Case has no exponential terms. The exponential terms for are as follows. For a real base the displayed is the coefficient of . For a nonreal base the two entries are the coefficients of , , in that order. In (88) such a pair is represented by and , with the factor applied to . Each real base appears once and each nonreal base together with its conjugate.
| base | |||
| .85 | -9338452 | — | |
| .94 | -2141509 | — | |
| .7 | -66277922 | -31907569 | |
| .85 | -1231651 | 6002645 | |
| .092 + .92 | -3225918 | 8928234 | |
| -2105536 | -9091287 | ||
| 15199211 | — | ||
| 4451662 | — | ||
| .88 | 2545398 | — | |
| .95 | -4932634 | — | |
| .984 | 11618157 | — | |
| .78 | 27238714 | -38447936 | |
| .9 | -31341084 | -30188786 | |
| .955 | -6693542 | 11912254 | |
| .984 | 2055213 | -21715849 |
Table 3.
In particular these are real exponentially decaying sequences. There are ten tail terms and thirteen tail terms when conjugates are counted, and their base moduli are at most .94 and .984, respectively. All the and are less than 1.
The convergent power series for the logarithm give the finite formulas
Here 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 gives
Both factors have positive real part, and their principal arguments sum strictly inside . 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
The domain of is , and that of is .
Derivative numerators and exhaustive root brackets
Define the rational functions
Differentiation of (89) yields
For a completely specified rational numerator, use
Empty products equal 1. These equations, the coefficient tables, and , , , , with recurrence , specify the four polynomials over without any numerical root calculation. The denominators do not vanish on the indicated open domains: , and for real . Conjugate factors in have positive products, and real-base factors are positive. Hence has the sign of on its domain and on .
Here is an exact root-count certificate. If is the specified numerator, on a subinterval form
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
| function | division points | sign variations | ||
| 2 | 36 | |||
| 2 | 24 | |||
| 1 | 13 | |||
| 1 | 9 |
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 , , increases the number of variations by at least one. To see this, positive rescaling of the variable reduces to , and zero initial coefficients can be removed. If are the old coefficients and the new ones, then
Each sign change between nonzero partial sums forces an intervening with the sign of the later partial sum. Starting with , these choices give an ordered subsequence with all the variations of the ; the final coefficient 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 bijectively to and does not change multiplicities.
The following integers specify disjoint open brackets for roots of the corresponding derivative: For each integer in this table the exact sign check is
| function | ||||
| 2 | -9601109148 | -8942317572 | -7608305633 | |
| -6503394794 | -5185864065 | -4015634158 | ||
| -3108806646 | -2067921826 | -1589849496 | ||
| 1531948062 | 2072448179 | 3208186484 | ||
| 4381119427 | 5851354199 | 7269030693 | ||
| 8390277402 | 9332614564 | 9709786219 | ||
| 2 | 176402802 | 330649406 | 764952882 | |
| 1227250753 | 2149465998 | 3048189112 | ||
| 4322699096 | 5564757994 | 6801929373 | ||
| 8031988371 | 8877037851 | 9577761832 | ||
| 9838463999 | 9972727815 | 9992037196 | ||
| 1 | -9917299785 | -2259572153 | 2543808026 | |
| 4437270259 | 6348298970 | |||
| 1 | 532669786 | 2504239325 | 5701738806 | |
| 7966939383 | 9454490138 |
Table 1 (PDF p. 38).
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 , write with , and put
The substitution for is . If , its unscaled positive remainder is bounded by
For a nonzero rational complex number , its real log part is half the real log of . For its principal argument choose an octant: rotate by , , so the rotated real part is positive and the imaginary-to-real ratio satisfies . Select the rotation for which is the principal argument; at the negative real axis use the value . The ratio is rational, since the rotation can be performed, up to a positive scale, by repeated maps or . With
substitute for the argument. The identity
follows from the tangent addition formula and the fact that both summands are positive and their sum is less than . The alternating-series estimate gives .
All positive inputs used here, including squared moduli, lie between and . Indeed, the real arguments at the evaluation points are between and , and the squared moduli of all complex arguments lie between and , by the factor bounds following (92). Thus at most 100 scaling steps are needed. To make the error allowance explicit, set
A real log substitution costs at most , and an argument costs at most . In particular , so is an upper bound for the absolute error of a complex log. This also proves the coarser allowance per log.
All rational polynomial terms in (89) are evaluated exactly. The total absolute log coefficient mass in is at most , in it is less than , and in it is less than . Their resulting substitution errors are respectively less than , , and , all less than . One may enclose each rational series term between consecutive multiples of , add the displayed remainder bounds with outward signs, and then propagate intervals linearly. This additional rounding changes the preceding allowances by less than . For a complex weight , use , 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 . A row marked is the left endpoint of the corresponding root bracket above; a row marked 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 .
| range | endpoint values | ||
Table 2.
| function | type | upper bound | ||
| 2 | -9601109148 | B | -0.984034048775 | |
| 2 | -8942317572 | B | -0.984375363807 | |
| 2 | -7608305633 | B | -0.984034052640 | |
| 2 | -6503394794 | B | -0.984105522615 | |
| 2 | -5185864065 | B | -0.984034053414 | |
| 2 | -4015634158 | B | -0.984092061375 | |
| 2 | -3108806646 | B | -0.984034037901 | |
| 2 | -2067921826 | B | -0.984364031075 | |
| 2 | -1589849496 | B | -0.984034038450 | |
| 2 | 1531948062 | B | -0.984033385315 | |
| 2 | 2072448179 | B | -0.984776982913 | |
| 2 | 3208186484 | B | -0.984034026898 | |
| function | type | upper bound | ||
| 2 | 4381119427 | B | -0.984264010107 | |
| 2 | 5851354199 | B | -0.984034029391 | |
| 2 | 7269030693 | B | -0.984245044505 | |
| 2 | 8390277402 | B | -0.984034016294 | |
| 2 | 9332614564 | B | -0.984567630027 | |
| 2 | 9709786219 | B | -0.984033926884 | |
| 2 | -10000000000 | P | -0.986727371546 | |
| 2 | 176402802 | B | -1.608946411646 | |
| 2 | 330649406 | B | -1.609949505120 | |
| 2 | 764952882 | B | -1.608960295828 | |
| 2 | 1227250753 | B | -1.609094597854 | |
| 2 | 2149465998 | B | -1.608960426500 | |
| 2 | 3048189112 | B | -1.608992193672 | |
| 2 | 4322699096 | B | -1.608960428486 | |
| 2 | 5564757994 | B | -1.608979509517 | |
| 2 | 6801929373 | B | -1.608960430478 | |
| 2 | 8031988371 | B | -1.608990548812 | |
| 2 | 8877037851 | B | -1.608960429811 | |
| 2 | 9577761832 | B | -1.609055802895 | |
| 2 | 9838463999 | B | -1.608960412835 | |
| 2 | 9972727815 | B | -1.609694899071 | |
| 2 | 9992037196 | B | -1.608958123669 | |
| 2 | 2500000000 | P | -1.608973617030 | |
| 2 | 5000000000 | P | -1.608971701898 | |
| 2 | 7500000000 | P | -1.608976908052 | |
| 1 | -9917299785 | B | -2.778491531574 | |
| 1 | -2259572153 | B | -1.324666731948 | |
| 1 | 2543808026 | B | -1.324655807046 | |
| 1 | 4437270259 | B | -1.352236629957 | |
| 1 | 6348298970 | B | -1.324666329425 | |
| 1 | -10000000000 | P | -2.775818077526 | |
| 1 | -5000000000 | P | -1.544057819905 | |
| 1 | 5000000000 | P | -1.347557680876 | |
| 1 | 532669786 | B | -1.428286151250 | |
| 1 | 2504239325 | B | -1.515602647362 | |
| 1 | 5701738806 | B | -1.428335732372 | |
| 1 | 7966939383 | B | -1.465686164672 | |
| 1 | 9454490138 | B | -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 :
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 allowance, the weaker cutoffs we shall actually use are
| at listed points | at listed points | ||
| 2 | .77843 | ||
| 1 | .93205 |
Table 4.
The logarithm procedure also gives .
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 from both and . In particular the bracket nearest has right endpoint , whose distance from is exactly . For , the identity gives , including its endpoint limits. Using the coefficient and base bounds above, the polynomial part of is at most in absolute value; its endpoint terms are bounded by ; its term is less than ; and its multiplier term is less than . Its two log-tail derivatives are bounded by
Consequently throughout every listed bracket. For the polynomial part is at most , the endpoint terms are bounded by , and the log tails are bounded by . Hence 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
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: for ; for ; and for . The remaining endpoints are singular and have limit : and for , and and for . 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 . Apply Proposition 6.1, use (97), and add for each supremum. Since , the right side is strictly less than, respectively,
Taking the larger of these constants proves Proposition 7.1.
Conclusion
Proof of Theorem 1.1. Suppose that is rational. Proposition 2.1 then makes rational for every . By Proposition 4.1, for every sufficiently large prime . Apply the product-formula lower bound of Proposition 3.4 along this sequence:
Proposition 7.1 gives, along the same sequence, an upper limit strictly smaller than . Since , this is a contradiction. Therefore is irrational.
Hyperbolic volumes. Normalize sectional curvature to . Agol’s theorem identifies as the minimum volume of an orientable complete finite-volume hyperbolic three-manifold with exactly two cusps, attained by the Whitehead-link and -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 has irrational volume. Here its lattice is, up to conjugacy, commensurable with the projective norm-one group of a maximal order in some quaternion algebra [24], Definition 38.3.4]. For each such algebra, with finite reduced discriminant , the volume formula gives
where ; this follows by inserting into [24], Theorem 39.1.13]. After conjugating, a common finite-index subgroup gives
so this volume is a positive rational multiple of and is irrational. In the split case , , the empty product yields [24], Example 39.1.16].
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