We study how often n distinct integer dilates of a periodic function can all lie above a fixed threshold or all lie below its negative. We consider continuous functions f:R→[−1,1] that are 1-periodic, even, strictly decreasing on [0,1/2], and satisfy f(0)=1 and f(t+1/2)=−f(t). This class includes the cosine and the triangle wave. For 0≤α<1, let ρα∈(0,1/4] be determined by f(ρα)=α, and let Fα(n) denote the infimum of these proportions over all sets of n distinct positive integer frequencies. We prove that Fα(n)≥4ραn and that the limit limn→∞Fα(n)1/n exists for every threshold. When ρα−1 is an integer, we obtain \begin{align} F_α(n) &\leq C_αn^{\log_2((1-ρ_α)/(1-2ρ_α))}ρ_α^n, \end{align} and hence the limit equals ρα. Otherwise, the limit belongs to the interval [ρα,⌊ρα−1⌋−1]. The upper bound in the reciprocal case uses a cyclic covering construction previously studied in the context of circular graphs. We give a self-contained proof of the corresponding optimal modulus.
Fα(n)≤Cαnlog2((1−ρα)/(1−2ρα))ραn
and hence the limit equals ρα. Otherwise, the limit belongs to the interval [ρα,⌊ρα−1⌋−1].
The upper bound in the reciprocal case uses a cyclic covering construction previously studied in the context of circular graphs. We give a self-contained proof of the corresponding optimal modulus.
Introduction
Let A be a finite set of positive integers. We are interested in the proportion of points t∈T for which the functions cos(2πat), a∈A, are either all positive or all negative. We ask how small this proportion can be when the number of frequencies is fixed. Although the cosines are all positive in a neighborhood of the origin, the size of this neighborhood depends on the largest frequency and does not give a bound in terms of ∣A∣ alone.
Sign correlations of this kind arose in the study of eigenfunctions of differential operators. Gonçalves, Oliveira e Silva, and Steinerberger studied a universality phenomenon for such correlations, obtaining the sharp two-frequency value 1/3 in the cosine model [GOeSS21]. Dou, Goh, Liu, Legate, and Pettigrew subsequently proved that the sharp value for three frequencies is 1/9 and characterized the cases of equality [2]. They also observed that the powers of three, for which the common-sign proportion is 31−n, are not always optimal. Indeed, the set {1,3,11,33} gives a proportion of 1/33, smaller than the value 1/27 obtained from {1,3,9,27}. They conjectured that 1/33 is optimal for four frequencies. This conjecture was recently proved by Zang, Zhao, Zhao, and Zhou, who also characterized all cases of equality [7].
In this paper we study the asymptotic behavior of these correlations as the number of frequencies increases. In particular, we show that the infimum of the common-sign proportions for n cosine frequencies is 4−n+o(n). We also consider a threshold version of the problem for a class of symmetric periodic functions that includes the cosine and the triangle wave. We prove a universal lower bound and show that the exponential decay rate exists for every threshold. For an infinite family of thresholds we determine this rate exactly, while for the remaining thresholds we obtain upper and lower bounds.
Main Results
Let T=R/Z, and for t∈R, write ∥t∥T:=mink∈Z∣t−k∣. We denote by τ:T→[−1,1] the triangle wave defined by τ(t):=1−4∥t∥T.
Definition 1.1. Let W denote the class of functions f:R→[−1,1] of the form
f=ϕ∘τ,
where ϕ:[−1,1]→[−1,1] is continuous, strictly increasing, odd, and satisfies ϕ(1)=1. We refer to the functions in W as antipodal waves.
The condition ϕ(1)=1 is only a normalization; more generally, one may allow any positive value of ϕ(1) and rescale the resulting function accordingly.
We now formulate the threshold-correlation problem for a fixed antipodal wave. Throughout, N={1,2,…}, and m denotes normalized Lebesgue measure on T. Fix f∈W. For $0 \le \alpha < 1, let ρα∈(0,1/4] be the unique number such that f(ρα)=α. For a finite nonempty set A⊂N, define
Sα(A):={t∈T:f(at)>α for every a∈A, or f(at)<−α for every a∈A}.
For every integer n≥1, let Pα(A)=m(Sα(A)) and define
Fα(n):=inf{Pα(A):A⊂N,∣A∣=n}.
Theorem 1.2. Let 0≤α<1. Then, for every integer n≥1,
Fα(n)≥4ραn.
(i) If ρα−1∈N, equivalently if α=f(1/m) for some integer m≥4, then there is a constant Cα>0 such that
Fα(n)≤Cαnlog2((1−ρα)/(1−2ρα))ραn
for every integer n≥1. In particular,
n→∞limFα(n)1/n=ρα.
(ii) If ρα−1∈/N, then there is a constant Cα>0 such that
Fα(n)≤Cα⌈ρα−1⌉−n
for every integer n≥1. Consequently, the following limit exists and satisfies
ρα≤n→∞limFα(n)1/n≤⌈ρα−1⌉1.
The reciprocal upper bound uses a cyclic covering construction closely related to earlier work on the Shannon capacity of circular graphs. The corresponding optimal modulus and cyclic separation construction were obtained by Polak and Schrijver [6 Theorem 9.3.1, 9.3.3] and later recovered in the more general framework of Buys, Polak, and Zuiddam [1]. We state the result in the form needed here and include a self-contained proof.
Theorem 1.3. Let 0≤α<1 and suppose that ρα−1∈N. For every integer d≥0, define
qd=1−ρα(1−2ρα)ρα−d+ρα.
Also, let D1={1}, and, for d≥2,
Dd={qd−1}∪{ρα−j:0≤j≤d−2}.
Then, Dd consists of d distinct positive integers, and for every integer k with 1≤k<qd, there exists b∈Dd such that
qdbkT>ρα.
Moreover, qd is the largest modulus for which such a strict cyclic cover with d multipliers is possible. More precisely, if q≥2 is an integer and b1,…,bd∈Z satisfy
1≤j≤dmaxqkbjT>ραfor every 1≤k<q,
then q≤qd.
Since τ maps [0,1/2] bijectively onto [−1,1], the representation f=ϕ∘τ determines ϕ uniquely through
ϕ(s)=f(41−s),−1≤s≤1.
Proposition 1.4. Let f:R→[−1,1]. f∈W if and only if the following properties hold:
i. f is 1-periodic.
ii. f is even.
iii. For every t∈R, f(t+21)=−f(t).
iv. The restriction of f to [0,1/2] is strictly decreasing.
v. f(0)=1.
vi. f is continuous.
Moreover, the representation f=ϕ∘τ is unique.
The class W contains a variety of familiar periodic profiles. Table 1 lists several examples together with the corresponding change of scale ϕ and threshold radius ρα.
Example
ϕ(s)
f(t)=ϕ(τ(t))
ρα
Triangle wave
s
1−4∣t∣T
41−α
Cosine wave
sin(2πs)
cos(2πt)
2πarccos(α)
Cubic smoothstep wave
23s−s3
23τ(t)−τ(t)3
41−ϕ−1(α)
Hyperbolic-tangent wave
tanh(c)tanh(cs)
tanh(c)tanh(cτ(t))
41−4carctanh(αtanh(c))
Table 1. Examples of antipodal waves obtained from the triangle wave τ(t)=1−4∥t∥T by an odd increasing change of scale.
The cosine is the motivating example in Table 1. In this case 2πρα=arccosα, so the reciprocal thresholds in Theorem 1.2 are precisely α=cos(2π/m) for integers m≥4. In particular, for the original sign-correlation problem α=0, one has ρ0=1/4, and hence
n→∞limF0(n)1/n=41.
Equivalently,
F0(n)=4−n+o(n).
Thus 4−n is the sharp exponential scale for the smallest possible proportion of points at which n integer-frequency cosines have a common sign.
As observed in [2], the torus formulation of the cosine problem is closely related to the geometry underlying the Lonely Runner Conjecture. Integer frequencies may be viewed as runner velocities, while the threshold conditions prescribe arcs in which all runners are required to lie simultaneously. Related correlation questions for runners were studied by Perarnau and Serra [5].
Outline
For later use, we separate the two parts of Sα(A). For a finite nonempty set A⊂N, write
Sα+(A):={t∈T:f(at)>α for every a∈A},
Sα−(A):={t∈T:f(at)<−α for every a∈A}.
Thus Sα(A)=Sα+(A)∪Sα−(A). We use ordinary letters for scalar variables and bold letters for vectors. All sums and differences of subsets of T are taken in the group T.
In § 2, we prove Theorem 1.3 using a base-ρα−1 expansion argument and a cube-packing estimate on the torus. § 3 establishes the universal lower bound by averaging translates of two antipodal boxes and applying a difference-set estimate on T.
In § 4, we prove the upper bounds using α-isolating frequency sets. When ρα−1∈N, we begin with {1,2,3} and apply Theorem 1.3 iteratively. When ρα−1∈/N, a simpler dilation argument gives the desired estimate. In § 5, we establish the existence of the exponential rate by proving a submultiplicative inequality for Fα, using the asymptotic independence of widely separated frequency scales. Finally, § 6 examines the polynomial loss in the reciprocal construction and discusses the remaining open questions.
Concurrent work
Concurrent work. A related preprint by Zang, Zhao, Zhao, and Zhou [7] was submitted to arXiv on October 23, 2026, and appeared in the arXiv announcement dated October 27, 2026. We became aware of their work through this announcement and are submitting the present manuscript on the same day. Our work was developed independently.
For the cosine sign-correlation problem, Theorem 1.3 of [7] gives the same lower bound 41−n and exponential decay rate 1/4 as our Theorem 1.2, together with an upper bound having the same polynomial exponent log2(3/2). The proofs are also related: both lower bounds use an averaging argument and a difference-set inequality on the torus, while both upper bounds rely on the cyclic construction of Polak and Schrijver recorded in [6].
The two papers differ in scope. In [7], the authors also establish sharp results for four frequencies and classify the cases of equality, whereas our work considers arbitrary thresholds for a class of symmetric periodic functions containing the cosine. We establish the existence of the exponential rate for every threshold, determine it when ρα−1∈N, and obtain bounds in the remaining cases. Their upper-bound construction for general n uses only odd frequencies, whereas ours includes even frequencies and eliminates the simultaneous negative-threshold set. We also examine the polynomial loss in the maximal iterative construction.
Acknowledgements
J.M. was partially supported by the Simons Foundation Grant #453576. The authors thank Lars Becker for some interesting conversations about this problem.
AI Disclosure
In preparing this manuscript, the authors used GPT-6 Astra to assist with language editing, syntax, and proofreading of author-written drafts, and to identify potentially relevant literature. The mathematical arguments and results are the authors’ own. All AI-generated suggestions were reviewed by the authors, and all literature references identified with AI assistance were independently verified. The authors take full responsibility for the content and accuracy of the manuscript.
The cyclic covering theorem
We begin with a packing estimate that will be used to prove the optimality assertion in Theorem 1.3.
Lemma 2.1. Let 0≤α<1 and suppose that ρα−1∈N. If ρα<s≤1/2, then the number of axis-parallel cubes of side length s with disjoint interiors in Td is at most qd.
Proof. Set ℓ:=ρα−1, and let Mj(s) denote the largest number of such cubes in Tj, with M0(s)=1. A slice perpendicular to the first coordinate meets the interiors of at most Mj−1(s) cubes. Integrating the number of intersections over the first coordinate gives sMj(s)≤Mj−1(s). Since s>1/ℓ, Mj(s)<ℓMj−1(s). The packing numbers are integers, and therefore Mj(s)≤ℓMj−1(s)−1. Iterating from M0(s)=1 gives Mj(s)≤qj. □
Proof of Theorem 1.3. Set ℓ=ρα−1. The definition of qd becomes
qd=ℓ−1(ℓ−2)ℓd+1.
and in particular q0=1 and qd=ℓqd−1−1. Thus each qd is an integer and qd≡−1(modℓ) for d≥1. Moreover, for d≥2 one has qd−1>ℓd−2, so Dd consists of d distinct positive integers.
We first prove the covering property. Fix 1≤k<qd, write q=qd, and suppose for contradiction that
qbkT≤ℓ1
for every b∈Dd. Let r be the unique integer with 1≤r<q such that r≡ℓ−1k(modq). Since q=ℓqd−1−1, we have qd−1≡ℓ−1(modq). Hence the elements of Dd are congruent modulo q to ℓ−1,1,ℓ,…,ℓd−2, and therefore
{ℓjqr}∈[0,ℓ1]∪[1−ℓ1,1)0≤j≤d−1.
The two nonzero endpoints cannot occur because q≡−1(modℓ). Thus the first d digits in the base-ℓ expansion of r/q all belong to {0,ℓ−1}. Since ℓ≡1(modℓ−1), it follows that
ℓ−1∣⌊ℓdqr⌋.
On the other hand, (ℓ−1)q=(ℓ−2)ℓd+1, so
ℓdqr=ℓ−2(ℓ−1)r−(ℓ−2)qr.
Write r=(ℓ−2)u+s with 0≤s≤ℓ−3. If s=0, then
⌊ℓdqr⌋=(ℓ−1)u−1,
while if 1≤s≤ℓ−3, then
⌊ℓdqr⌋=(ℓ−1)u+s.
In either case this integer is not divisible by ℓ−1, a contradiction. Hence, for every 1≤k<qd, there is b∈Dd such that
qdbkT>ρα.
It remains to prove optimality. Suppose that q≥2 and b1,…,bd∈Z satisfy
1≤j≤dmaxqkbjT>ραfor every 1≤k<q.
For 0≤k<q, define
zk:=(qkb1,…,qkbd)∈Td.
The points z0,…,zq−1 are distinct. Moreover, the difference of any two distinct points has some coordinate at distance greater than ρα from zero. Since there are finitely many such differences, their minimum distance in the toroidal supremum norm is some s>ρα, with s≤1/2.
The axis-parallel cubes of side length s centered at z0,…,zq−1 therefore have disjoint interiors. Lemma 2.1 gives q≤qd, proving the optimality assertion. □
The universal lower bound
Proposition 3.1. Let 0≤α<1. For every integer n≥1 and every n-element set A⊂N,
Pα(A)≥4ραn.
Consequently, Fα(n)≥4ραn.
Proof. Write A={a1,…,an} and consider the homomorphism Φ:T→Tn, with Φ(t)=(a1t,…,ant). Let
C:=(0,ρα)n,h:=(21,…,21).
Since ρα≤1/4, the sets C and C+h are disjoint. For v∈Tn, define
Ev:=Φ−1((v+C)∪(v+C+h)).
For each fixed t∈T, the set of v∈Tn for which Φ(t)∈v+C has measure ραn, and the same is true with C+h in place of C. Since the corresponding sets of translations are disjoint, Fubini’s theorem gives
∫Tnm(Ev)dv=2ραn.
Hence there exists v∈Tn such that m(Ev)≥2ραn. Fix such a v and write E=Ev. Notice that E is a finite union of open arcs.
We claim that E−E⊂Sα(A). Indeed, let x,y∈E. If Φ(x) and Φ(y) belong to the same one of the two boxes v+C and v+C+h, then, for every 1≤i≤n,
∥ai(x−y)∥T<ρα.
Thus x−y∈Sα+(A). If Φ(x) and Φ(y) belong to opposite boxes, then, for every 1≤i≤n,
ai(x−y)−21T<ρα,
and therefore x−y∈Sα−(A). The classical sumset inequality on the torus [4] gives, for every finite union of open arcs E⊂T, m(E−E)≥min{1,2m(E)}. To see this, put K=E and D=K−K. Since E is a finite union of open arcs, m(D)=m(E−E). If D=T, the assertion is immediate. Otherwise, choose u∈∂D and write u=a−b with a,b∈K. Then E−a and E−b are disjoint subsets of D: otherwise, if z∈(E−a)∩(E−b), then
u=(z+a)−(z+b)∈E−E,
which contradicts u∈∂D because E−E is open. Hence
m(E−E)=m(D)≥m(E−a)+m(E−b)=2m(E).
Combining this estimate with the inclusion E−E⊂Sα(A) gives
Pα(A)=m(Sα(A))≥m(E−E)≥min{1,2m(E)}≥4ραn,
where the last inequality follows from m(E)≥2ραn and 4ραn≤1. Taking the infimum over all n-element sets A⊂N gives the desired bound for Fα(n). □
Remark 3.2. The proof remains valid for a list of nonzero integer frequencies, even with repetitions. The two factors of 2 in the lower bound have separate origins: the first comes from averaging a pair of antipodal boxes, while the second comes from the difference-set estimate. The argument concerns the un-shifted family f(at); no common phase is implicit.
The upper bounds
Both upper bounds use the following notion.
Definition 4.1. Let 0≤α<1. A finite set B⊂N is called α-isolating if 1∈B and, writing
N=maxB,
Sα+(B)={t∈T:∥t∥T<ρα/N},andSα−(B)=∅.
For such a set, Pα(B)=2ρα/N.
Proposition 4.2. Suppose that 0≤α<1 and ρα−1∈N. Then there is a constant Cα>0 such that for every integer n≥1,
Fα(n)≤Cαnlog2((1−ρα)/(1−2ρα))ραn.
Proof. The set B0={1,2,3} is α-isolating. Indeed, by the threshold-set description, if t∈Sα+(B0) then ∥t∥T<ρα and ∥3t∥T<ρα. Choosing the representative with ∣t∣<ρα, the inequality ρα≤1/4 gives ∣3t∣<1−ρα, and therefore ∣t∣<ρα/3. Conversely, if ∥t∥T<ρα/3, then ∥jt∥T<ρα for j=1,2,3. Thus Sα+(B0)={t∈T:∥t∥T<ρα/3}. For the negative set, write t=1/2+s with ∣s∣<ρα. If the frequencies 1 and 3 are both below −α, then ∥3s∥T<ρα, and the same argument gives ∣s∣<ρα/3. Hence ∥2t∥T=∥2s∥T<ρα, so the frequency 2 is above α. Therefore Sα−(B0)=∅.
We next establish the iterative step. Let B be α-isolating, let N=maxB, and suppose that d≥1 satisfies qd−1≤N. Since maxDd=qd−1<qd=min(qdB), the two blocks are disjoint, and hence ∣Dd∪qdB∣=∣B∣+d and max(Dd∪qdB)=qdN.
Suppose first that t∈Sα+(qdB). Since B is α-isolating, there are k∈Z and u∈R so that
t=qdk+u,∣u∣<Nρα.
Assume that k≡0(modqd). By Theorem 1.3, there is b∈Dd such that
qdbkT>ρα.
Since qd=ℓqd−1−1 with ℓ=ρα−1, the point bk/qd lies at distance at least ρα/qd from the boundary of the interval {x∈T:∥x∥T<ρα}. On the other hand,
qdbu<Nqdbρα≤qdρα.
Thus ∥bt∥T≥ρα, so t∈/Sα+(Dd∪qdB).
If k≡0(modqd), then modulo 1 we may write t=u/qd. For every b∈Dd,
∣bt∣<Nqdbρα≤qdρα<ρα.
Hence all the frequencies in Dd are positive at t. It follows that
Sα+(Dd∪qdB)={t∈T:∥t∥T<qdNρα}.
Furthermore, Sα−(Dd∪qdB)⊂Sα−(qdB)=∅, because t∈Sα−(qdB) would imply qdt∈Sα−(B). Thus Dd∪qdB is again α-isolating.
We now iterate using the largest admissible value of d. Starting from B0={1,2,3}, suppose that Bj has been constructed, and write Nj:=maxBj. Choose dj maximally subject to qdj−1≤Nj, and set
Bj+1:=Ddj∪qdjBj.
By maximality, qdj−1≤Nj<qdj, and so Nj+1=Njqdj>Nj2. Thus logℓNj≥2jlogℓ3. Also logℓNj<∣Bj∣ for every j: this holds initially and is preserved because qd<ℓd.
Fix n≥3 and choose j such that ∣Bj∣≤n<∣Bj+1∣. If n=∣Bj∣, take A=Bj. Otherwise, 1≤n−∣Bj∣<dj, and
qn−∣Bj∣−1≤qdj−1≤Nj,
so the same construction with Dn−∣Bj∣ gives an α-isolating set A with exactly n elements. The number of construction steps used to obtain A is at most j+1. Since 2jlogℓ3≤logℓNj<∣Bj∣≤n, we have
(ℓ−2ℓ−1)j+1≤Cαnlog2((ℓ−1)/(ℓ−2)).
Finally, ρα−3Pα(B0)=2ℓ2/3. Repeated application of the preceding estimate therefore gives
Multiplying by ραn gives the desired estimate for n≥3. An appropriate choice of Cα takes care of n=1,2. □
Remark 4.3. The use of an even frequency in the isolating construction is essential for breaking a symmetry that is present for odd frequencies. Indeed, if every a∈A is odd, then periodicity and the antipodal symmetry of f give
f(a(t+21))=−f(at).
Consequently, translation by 1/2 interchanges Sα+(A) and Sα−(A), and in particular
m(Sα+(A))=m(Sα−(A)).
The frequency 2 in the seed B0={1,2,3} breaks this symmetry and allows the simultaneous negative set to be empty while the simultaneous positive set remains nonempty. This asymmetry is then preserved by the subsequent isolating construction.
Proposition 4.4. Suppose that 0≤α<1 and ρα−1∈/N. Then there is a constant Cα>0 such that for every integer n≥1,
Fα(n)≤Cαρα−1−n.
Proof. Set ℓ=⌊ρα−1⌋. Then ℓ≥4 and ρα<1/ℓ. Let B0={1,…,N}, where
N:=max{3,⌈1−ℓραρα⌉}.
We first observe that B0 is α-isolating. Certainly, if ∥t∥T<ρα/N, then ∥jt∥T<ρα for every 1≤j≤N. Conversely, suppose that t∈Sα+(B0). The frequency 1 gives ∥t∥T<ρα, so choose the representative satisfying ∣t∣<ρα. If ∣t∣≥ρα/N, let j=⌈ρα/∣t∣⌉. Then 1≤j≤N and
ρα≤j∣t∣<2ρα≤21.
Hence ∥jt∥T≥ρα, a contradiction. Therefore
Sα+(B0)={t∈T:∥t∥T<Nρα}.
Moreover, B0 contains {1,2,3}, whose frequencies have no common negative point, as observed in the preceding proof. Thus Sα−(B0)=∅.
Now let B be α-isolating with maxB≥N, and set B:={1}∪ℓB. If t∈Sα+(ℓB), then there are k∈{0,…,ℓ−1} and u∈R such that
t=ℓk+u,∣u∣≤maxBρα.
If k=0, then
∥t∥T>ℓ1−ℓmaxBρα≥ρα,
where the last inequality follows from maxB≥N≥ρα/(1−ℓρα). Thus the frequency 1 excludes every noncentral component.
If k=0, then
∥t∥T<ℓmaxBρα<ρα,
so the frequency 1 is positive there. It follows that
Sα+(B)={t∈T:∥t∥T<ℓmaxBρα}.
Also, Sα−(B)⊂Sα−(ℓB)=∅. Hence B is again α-isolating. Starting from B0, define recursively Bj+1:={1}∪ℓBj. Then each Bj is α-isolating, ∣Bj∣=N+j, and maxBj=Nℓj. Consequently,
Pα(Bj)=Nℓj2ρα.
For every n≥N, taking j=n−N therefore gives
Fα(n)≤N2ραℓNℓ−n.
An appropriate choice of Cα takes care of the finitely many 1≤n<N, and so for all n≥1,
Fα(n)≤Cα[ρα−1]−n.
The exponential rate
We complete the proof of Theorem Theorem 1.2 by establishing the following submultiplicative inequality.
Proposition 5.1.Let 0≤α<1. For all integers n,m≥1,
Fα(n+m)≤Fα(n)Fα(m).
Consequently, the limit exists.
Proof. Fix ε>0, and choose sets A,B⊂N with ∣A∣=n and ∣B∣=m such that
Pα(A)≤Fα(n)+ε,
Pα(B)≤Fα(m)+ε.
For an integer K≥1, let KB={Kb:b∈B}. If K>maxA, then A and KB are disjoint, so ∣A∪KB∣=n+m.
We use the elementary fact that if E,F⊂T are finite unions of open arcs, then
m(E∩{t∈T:Kt∈F})⟶m(E)m(F)
as K→∞. Indeed, it is enough to check this when E and F are arcs, in which case we can partition the circle into K intervals of length 1/K, and see that on each complete interval contained in E, the pre-image of F occupies measure m(F)/K. Only the at most two intervals intersecting the endpoints of E contribute an error of order 1/K.
Letting ε→0 gives Fα(n+m)≤Fα(n)Fα(m). Moreover, by Proposition 3.1, Fα(n)>0 for every n. Hence logFα(n) is subadditive, and Fekete’s lemma shows that
n→∞limn1logFα(n)=n≥1infn1logFα(n).
Exponentiating proves that the limit exists.
Proof of Theorem 1.2.Proposition 3.1 gives the lower bound, while Propositions 4.2 and 4.4 give the upper bounds in parts (i) and (ii), respectively. Proposition 5.1 shows that the limit of the exponential rate exists.
If ρα−1∈N, taking nth roots in the lower and upper bounds gives ρα≤limn→∞Fα(n)1/n≤ρα, and hence limn→∞Fα(n)1/n=ρα. If ρα−1∈/N, the same argument produces the desired inequality.
The remaining loss and open questions
Proposition 6.1. Suppose that 0≤α<1 and ρα−1∈N, and let Bj be the maximal sequence constructed in the proof of Proposition 4.2. Then
Proof. Set ℓ=ρα−1, Nj=maxBj, and let dj denote the size of the jth construction step. By maximality, qdj−1≤Nj<qdj. Since qd=ℓqd−1−1, we have Nj<qdj≤ℓNj−1. Thus, writing Lj=logℓNj, 2Lj<Lj+1<2Lj+1, and consequently Lj≍2j. Moreover, qdj>Nj and qdj<ℓdj imply dj>Lj.
Since di>Li≳2i, the sum ∑iℓ−di converges, and hence the product converges to a positive limit. It follows that
ρα−∣Bj∣Pα(Bj)≃(ℓ−2ℓ−1)j.
On the other hand,
logℓ(ρα−∣Bj∣Pα(Bj))=∣Bj∣−Lj+logℓ(ℓ2),
so ∣Bj∣=Lj+O(j). Hence ∣Bj∣≃2j, and therefore
(ℓ−2ℓ−1)j≃∣Bj∣log2((ℓ−1)/(ℓ−2)).
Since log2((ℓ−1)/(ℓ−2))=log2((1−ρα)/(1−2ρα)), the result follows. □
This leaves open whether the polynomial loss is a feature of the problem itself or only of the construction.
Question 6.2. Suppose that 0≤α<1 and ρα−1∈N. Is there a constant Cα>0 such that Fα(n)≤Cαραn for every integer n≥1?
Theorem 1.3 also shows that a strict cyclic cover with d multipliers cannot have modulus q satisfying qραd→1: the largest possible ratio tends to
1−ρα1−2ρα<1.
Thus this particular modification of the covering step cannot remove the accumulated loss. Neither this restriction nor Proposition 6.1, however, gives a lower bound forcing ρα−nFα(n) to diverge.
When ρα−1∈/N, the lower and upper exponential bounds in Theorem 1.2 do not in general coincide. Determining the exact value of the limit in this case remains beyond the present argument.
References
Department of Mathematics, Virginia Tech, Blacksburg, VA, USA
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