Sums, series, and products in Diophantine approximation

Jordan Bell
[email protected]
Department of Mathematics, University of Toronto
Toronto, Ontario, Canada
(March 3, 2023)
Abstract

There is not much that can be said for all x and for all n about the sum

∑k=1n1|sin⁡k⁢π⁢x|.

However, for this and similar sums, series, and products, we can establish results for almost all x using the tools of continued fractions. We present in detail the appearance of these sums in the singular series for the circle method. One particular interest of the paper is the detailed proof of a striking result of Hardy and Littlewood, whose compact proof, which delicately uses analytic continuation, has not been written freshly anywhere since its original publication. This story includes various parts of late 19th century and early 20th century mathematics.

1 Introduction

In this paper we survey a class of estimates for sums, series, and products that involve Diophantine approximation. We both sort out a timeline of the literature on these questions and give careful proofs of many lesser known results. Rather than being an open-pit mine for the history of Diophantine approximation, this paper follows one vein as deep as it goes.

For x∈ℝ, we write ∥x∥=minn∈ℤ⁡|x-n|, the distance from x to a nearest integer. In this paper we give a comprehensive presentation of estimates for sums whose jth term involves ∥j⁢x∥ and determine the abscissa of convergence and radius of convergence respectively of Dirichlet series and power series whose jth term involves ∥j⁢x∥. We also give a detailed proof of a result of Hardy and Littlewood that

limn→∞⁡(∏k=1n|sin⁡k⁢π⁢x|)1/n=12

for almost all x.

We either prove or state in detail and give references for all the material on continued fractions and measure theory that we use in this paper. Many of the results we prove in this paper do not have detailed proofs written in any books, and the proofs we give for results that do have proofs in books are often written significantly more meticulously here than anywhere else; in some cases the proofs in the literature are so sketchy that the proof we give is written from scratch, for example Lemma 9. Our presentation of Hardy and Littlewood’s estimate for ∏k=1n|sin⁡π⁢k⁢x| makes clear exactly what results in Diophantine approximation one needs for the proof.

In the next section we introduce the Bernoulli polynomials, the Euler-Maclaurin summation formula, and Euler’s constant, which we shall use in a few places. Because the calculations are similar to what we do in the rest of this paper and because we want to be comfortable using Bernoulli polynomials, we work things out from scratch rather than merely stating results as known. In the section after that we summarize various problems that involve sums of the type we are talking about in this paper.

2 The Bernoulli polynomials, the Euler-Maclaurin summation formula, and Euler’s constant

For k≥0, the Bernoulli polynomial Bk⁢(x) is defined by

z⁢ex⁢zez-1=∑k=0∞Bk⁢(x)⁢zkk!,|z|<2⁢π. (1)

The Bernoulli numbers are Bk=Bk⁢(0), the constant terms of the Bernoulli polynomials. For any x, using L’Hospital’s rule the left-hand side of (1) tends to 1 as z→0, and the right-hand side tends to B0⁢(x), hence B0⁢(x)=1. Differentiating (1) with respect to x,

∑k=0∞Bk′⁢(x)⁢zkk!=z2⁢ex⁢zez-1=∑k=0∞Bk⁢(x)⁢zk+1k!=∑k=1∞Bk-1⁢(x)⁢zk(k-1)!,

so B0′⁢(x)=0 and for k≥1 we have Bk′⁢(x)k!=Bk-1⁢(x)(k-1)!, i.e.

Bk′⁢(x)=k⁢Bk-1⁢(x).

Furthermore, integrating (1) with respect to x on [0,1] gives, since ∫ex⁢z⁢𝑑x=ez-1z,

1=∑k=0∞(∫01Bk⁢(x)⁢𝑑x)⁢zkk!,|z|<2⁢π,

hence ∫01B0⁢(x)⁢𝑑x=1 and for k≥1,

∫01Bk⁢(x)⁢𝑑x=0.

The first few Bernoulli polynomials are

B0⁢(x)=1,B1⁢(x)=x-12,B2⁢(x)=x2-x+16,B3⁢(x)=x3-32⁢x2+12⁢x.

The Bernoulli polynomials satisfy the following:

∑k=0∞Bk⁢(x+1)⁢zkk! =z⁢e(x+1)⁢zez-1
=z⁢ex⁢z⁢(ez-1+1)ez-1
=z⁢ex⁢z+z⁢ex⁢zez-1
=∑k=0∞xk⁢zk+1k!+∑k=0∞Bk⁢(x)⁢zkk!
=∑k=1∞xk-1⁢zk(k-1)!+∑k=0∞Bk⁢(x)⁢zkk!,

hence

Bk⁢(x+1)=k⁢xk-1+Bk⁢(x),k≥1,x∈ℝ. (2)

In particular, for k≥2, Bk⁢(1)=Bk⁢(0). The identity (2) yields Faulhaber’s formula, for k≥0 and positive integers a<b,

∑a≤m≤bmk=Bk+1⁢(b+1)-Bk+1⁢(a)k+1. (3)

The following identity is the multiplication formula for the Bernoulli polynomials, found by Raabe [122, pp. 19–24, §13].

Lemma 1.

For k≥0, q≥1, and x∈ℝ,

q⁢Bk⁢(q⁢x)=qk⁢∑j=0q-1Bk⁢(x+jq).
Proof.

Using (2) with x=q⁢n+jq=n+jq,

(q⁢n+j)k=qkk+1⁢(Bk+1⁢(n+jq+1)-Bk+1⁢(n+jq)),

thus

∑m=qN⁢q-1mk =∑n=1N-1∑j=0q-1(n⁢q+j)k
=qkk+1⁢∑j=0q-1∑n=1N-1(Bk+1⁢(n+jq+1)-Bk+1⁢(n+jq))
=qkk+1⁢∑j=0q-1(Bk+1⁢(N+jq)-Bk+1⁢(1+jq)).

Then by (3),

Bk+1⁢(q⁢N)-Bk+1⁢(q)=qk⁢∑j=0q-1(Bk+1⁢(N+jq)-Bk+1⁢(1+jq)).

Let Fk,q⁢(x)=Bk+1⁢(q⁢x)-qk⁢∑j=0q-1Bk+1⁢(x+j/q), which is a polynomial of degree ≤k+1. The above means that for N≥1, Fk,q⁢(N)=Fk,q⁢(1), which implies that the polynomial Fk,q⁢(x)-Fk,q⁢(1) is identically 0 and, a fortiori, Fk,q′⁢(x) is identically 0:

q⁢Bk+1′⁢(q⁢x)-qk⁢∑j=0q-1Bk+1′⁢(x+jq)=0.

Using Bk+1′⁢(x)=(k+1)⁢Bk⁢(x),

q⁢Bk⁢(q⁢x)=qk⁢∑j=0q-1Bk⁢(x+jq).

∎

We remark that for prime p and for k≥0, one uses Lemma 1 to prove that there is a unique p-adic distribution μB,k on the p-adic integers ℤp such that μB,k⁢(a+pN⁢ℤp)=pN⁢(k-1)⁢Bk⁢(a/pN) [80, p. 35, Chapter II, §4], called a Bernoulli distribution.

For x∈ℝ, let [x] be the greatest integer ≤x, and let R⁢(x)=x-[x], called the fractional part of x. Write 𝕋=ℝ/ℤ and define the periodic Bernoulli functions Pk:𝕋→ℝ by

Pk=Bk∘R.

For k≥2, because Bk⁢(1)=Bk⁢(0), the function Pk is continuous. For f:𝕋→ℂ define its Fourier series f^:ℤ→ℂ by

f^⁢(n)=∫𝕋f⁢(t)⁢e-2⁢π⁢i⁢n⁢t⁢𝑑t,n∈ℤ.

For k≥1, one calculates P^k⁢(0)=0 and using integration by parts, P^k⁢(n)=-1(2⁢π⁢i⁢n)k for n≠0. Thus for k≥1, the Fourier series of Pk is

Pk⁢(t)∼∑n∈ℤP^k⁢(n)⁢e2⁢π⁢i⁢n⁢t=-1(2⁢π⁢i)k⁢∑n≠0n-k⁢e2⁢π⁢i⁢n⁢t.

For k≥2, ∑n∈ℤ|P^k⁢(n)|<∞, from which it follows that ∑|n|≤NP^k⁢(n)⁢e2⁢π⁢i⁢n⁢t converges to Pk⁢(t) uniformly for t∈𝕋. Furthermore, for t∉ℤ [102, p. 499, Theorem B.2],

P1⁢(t)=-1π⁢∑n=1∞1n⁢sin⁡2⁢π⁢n⁢t.

Thus for example,

B1⁢(12⁢π)=P1⁢(12⁢π)=-1π⁢∑k=1∞sin⁡kk.

The Euler-Maclaurin summation formula is the following [102, p. 500, Theorem B.5]. If a<b are real numbers, K is a positive integer, and f is a CK function on an open set that contains [a,b], then

∑a<m≤bf⁢(m) =∫abf⁢(x)⁢𝑑x+∑k=1K(-1)kk!⁢(Pk⁢(b)⁢f(k-1)⁢(b)-Pk⁢(a)⁢f(k-1)⁢(a))
-(-1)KK!⁢∫abPK⁢(x)⁢f(K)⁢(x)⁢𝑑x.

Applying the Euler-Maclaurin summation formula with a=1,b=n,K=2,f⁢(x)=log⁡x yields [102, p. 503, Eq. B.25]

∑1≤m≤nlog⁡n=n⁢log⁡n-n+12⁢log⁡n+12⁢log⁡2⁢π+O⁢(n-1).

Using e1+O⁢(n-1)=1+O⁢(n-1), taking the exponential of the above equation gives Stirling’s approximation,

n!=nn⁢e-n⁢2⁢π⁢n⁢(1+O⁢(n-1)).

Write an=-log⁡n+∑1≤m≤n1m. Because x↦log⁡(1-x) is concave,

an-an-1=1n+log⁡(1-1n)≤1+1-1n=0,

which means that the sequence an is nonincreasing. For f⁢(x)=1x, because f is positive and nonincreasing,

∑1≤m≤nf⁢(m)≥∫1n+1f⁢(x)⁢𝑑x=log⁡(n+1)>log⁡n,

hence an>0. Because the sequence an is positive and nonincreasing, there exists some nonnegative limit, γ, called Euler’s constant. Using the Euler-Maclaurin summation formula with a=1,b=n,K=1,f⁢(x)=1x, as P1⁢(x)=[x]-12,

∑1<m≤n1m=log⁡n+12⁢n-12+12⁢∫1n1x2⁢𝑑x-∫1nR⁢(x)⁢1x2⁢𝑑x,

which is

∑1<m≤n1m=log⁡n-∫1∞R⁢(x)x2⁢𝑑x+∫n∞R⁢(x)x2⁢𝑑x.

As 0≤R⁢(x)⁢x-2≤x-2, the function x↦R⁢(x)⁢x-2 is integrable on [1,∞); let C=1-∫1∞R⁢(x)⁢x-2. Since 0≤∫n∞R⁢(x)⁢x-2⁢𝑑x≤∫n∞x-2⁢𝑑x=n-1,

∑1≤m≤n1m=log⁡n+C+O⁢(n-1)

f. But -log⁡n+∑1≤m≤n1m→γ as n→∞, from which it follows that C=γ and thus

∑1≤m≤n1m=log⁡n+γ+O⁢(n-1).

3 Background

For x∈ℝ, let [x] be the greatest integer ≤x and let R⁢(x)=x-[x]. It will be handy to review some properties of x↦[x]. For n∈ℤ it is immediate that [x+n]=[x]. For x,y∈ℝ we have 0≤x-[x]+y-[y]<2, which means 0=[0]≤[x-[y]+y-[y]]<[2]=2, and using [x+n]=[x] this is 0≤[x+y]-[x]-[y]<2, therefore

[x]+[y]≤[x+y]≤[x]+[y]+1.

For m,n∈ℤ, n>1, and x∈ℝ,

[x+mn]=[[x]+mn].

For n a positive integer and for real x,

[x]=[x+0n]≤[x+1n]≤⋯⁢[x+n-1n]≤[x+nn]=[x]+1.

There is a unique ν, 1≤ν≤n, such that [x+ν-1n]=[x] and [x+νn]=[x]+1, and therefore [R⁢(x)+ν-1n]=0 and [R⁢(x)+νn]=1, consequently R⁢(x)+ν-1n<1 and R⁢(x)+νn≥1, which means 1-νn≤R⁢(x)<1-ν-1n, from which finally we get n≤[n⁢x]-n⁢[x]+ν<n+1 and so n=[n⁢x]-n⁢[x]+ν. But

∑k=0n-1[x+kn]=∑k=0ν-1[x]+∑k=νn-1([x]+1)=ν⁢[x]+(n-ν)⁢([x]+1)=n⁢[x]+n-ν,

and using ν=n-[n⁢x]+n⁢[x],

∑k=0n-1[x+kn]=n⁢[x]+n-(n-[n⁢x]+n⁢[x])=[n⁢x].

This identity is proved by Hermite [65, pp. 310–315, §V].

The Legendre symbol is defined in the following way. Let p be an odd prime, and let a be an integer that is not a multiple of p. If there is an integer b such that a≡b2(modp) then (ap)=1, and otherwise (ap)=-1. In other words, for an integer a that is relatively prime to p, if a is a square mod p then (ap)=1, and if a is not a square mod p then (ap)=-1. For example, one checks that there is no integer b such that b2≡6(mod7), and hence (67)=-1, while 32≡2(mod7), and so (27)=1.

If p and q are distinct odd primes, define integers uk, 1≤k≤p-12, by

k⁢q=p⁢[k⁢qp]+uk;

namely, uk is the remainder of k⁢q when divided by p. We have 1≤uk≤p-1. Let μ⁢(q,p) be the number of k such that uk>p-12. It can be shown that [59, p. 74, Theorem 92]

(qp)=(-1)μ⁢(q,p);

this fact is called Gauss’s lemma. For example, for p=13 and q=3 we work out that

u1=3,u2=6,u3=9,u4=12,u5=2,u6=5,

and hence μ⁢(3,13)=2, so (-1)μ⁢(3,13)=1; on the other hand, 42≡3(mod13), hence (313)=1. With

S⁢(q,p)=∑j=1p-12[j⁢qp],

it is known that [59, pp. 77-78, §6.13]

S⁢(q,p)≡μ⁢(q,p)(mod2).

And it can be shown that [59, p. 76, Theorem 100]

S⁢(q,p)+S⁢(p,q)=p-12⋅q-12. (4)

Thus

(pq)⁢(qp) = (-1)μ⁢(p,q)+μ⁢(q,p)
= (-1)S⁢(p,q)+S⁢(q,p)
= (-1)p-12⋅q-12.

This is Gauss’s third proof of the law of quadratic reciprocity in the numbering [7, p. 50, §20]. This proof was published in Gauss’s 1808 “Theorematis arithmetici demonstratio nova”, which is translated in [140, pp. 112–118]. Dirichlet [38, pp. 65–72, §§42–44] gives a presentation of the proof. Eisenstein’s streamlined version of Gauss’s third proof is presented with historical remarks in [93]. Lemmermeyer [95] gives a comprehensive history of the law of quadratic reciprocity, and in particular writes about Gauss’s third proof [95, pp. 9–10]. The formula (4) resembles the reciprocity formula for Dedekind sums [123, p. 4, Theorem 1].

Gauss obtains (4) from the following [140, p. 116, §5]: if x is irrational and n is a positive integer, then

∑k=1n[k⁢x]+∑k=1[n⁢x][kx]=n⁢[n⁢x], (5)

which he proves as follows. If [jx]<k≤[j+1x], then [k⁢x]=j. Therefore

∑k=1n[k⁢x] = ∑j=1[n⁢x]j⁢([j+1x]-[jx])
= n⁢[n⁢x]-∑j=1[n⁢x][jx].

Bachmann [6, pp. 654–658, §4] surveys later work on sums similar to (5); see also Dickson [35, Chapter X]. If m and n are relatively prime, then

{R⁢(mn),R⁢(2⁢mn),…,R⁢((n-1)⁢mn)}={1n,2n,…,n-1n},

and so

∑k=1n-1R⁢(k⁢mn)=∑k=1n-1kn=1n⋅(n-1)⁢n2=n-12.

Hence

∑k=1n-1[k⁢mn]=∑k=1n-1k⁢mn-∑k=1n-1R⁢(k⁢mn)=(m-1)⁢(n-1)2. (6)

There is also a simple lattice point counting argument [118, p. 113, No. 18] that gives (6).

In 1849, Dirichlet [37] shows that

∑k=1nd⁢(k)=∑k=1n[nk],

where d⁢(n) denotes the number of positive divisors of an integer n. (This equality is Dirichlet’s “hyperbola method”.) He then proves that

∑k=1n[nk]=n⁢log⁡n+(2⁢γ-1)⁢n+O⁢(n).

Hardy and Wright [59, pp. 264–265, Theorem 320] give a proof of this. Finding the best possible error term in the estimate for ∑k=1nd⁢(k) is “Dirichlet’s divisor problem”. Dirichlet cites the end of Section V Gauss’s Disquisitiones Arithmeticae as precedent for determining average magnitudes of arithmetic functions. (In Section V, Articles 302–304, of the Disquisitiones Arithmeticae, Gauss writes about averages of class numbers of binary quadratic forms, cf. [36, Chapter VI].)

Define (x) to be 0 if x∈ℤ+12; if x∉ℤ+12 then there is an integer mx for which |x-mx|<|x-n| for all integers n≠mx, and we define (x) to be x-mx. Riemann [125, p. 105, §6] defines

f⁢(x)=∑n=1∞(n⁢x)n2;

for any x, the series converges absolutely because |(-n⁢x)|<12. Riemann states that if p and m are relatively prime and x=p2⁢m, then

f⁢(x+)=limh→0+⁡f⁢(x+h)=f⁢(x)-π216⁢m2,f⁢(x-)=limh→0-⁡f⁢(x+h)=f⁢(x)+π216⁢m2,

thus

f⁢(x-)-f⁢(x+)=π28⁢m2,

and hence that f is discontinuous at such points, and says that at all other points f is continuous; see Laugwitz [94, §2.1.1, pp. 183-184], Neuenschwander [108], and Pringsheim [119, p. 37] about Riemann’s work on pathological functions. The role of pathological functions in the development of set theory is explained by Dauben [32, Chapter 1, p. 19] and Ferreirós [49, Chapter V, §1, p. 152].

For any interval [a,b] and any σ>0, it is apparent from the above that there are only finitely many x∈[a,b] for which f⁢(x-)-f⁢(x+)>σ, and Riemann deduces from this that f is Riemann integrable on [a,b]; cf. Hawkins [63, p. 18] on the history of Riemann integration. Later in the same paper [125, p. 129, §13], Riemann states that the function

x↦∑n=1∞(n⁢x)n,

is not Riemann integrable in any interval.

In 1897, Cesàro [28] asks the following question (using the pseudonym, and anagram, “Rosace” [112, p. 331]). Let ϵ⁢(x)=x-[x]-12. Is the series

∑n=1∞ϵ⁢(n⁢x)n (7)

convergent for all non-integer x? This is plausible because the expected value of ϵ⁢(x) is 0. Landau [89] answers this question in 1901. Landau proves that if there is some g such that

∑k=1n[k⁢x]=n⁢(n+1)⁢x2-n2+O⁢(g⁢(n))

where g is a nonnegative function such g⁢(n)=o⁢(n) and such that ∑n=1∞g⁢(n)n⁢(n+1) converges, then (7) converges. And he proves that if x is rational then (7) diverges. We return to this series in §9.

Also in 1898, Franel [52] asks whether for irrational x and for ϵ>0 we have

∑k=1n[k⁢x]=n⁢(n+1)⁢x2-n2+O⁢(nϵ).

Then in 1899, Franel [53] asks if we can do better than this: is the error term in fact O⁢(1)? Cesàro and Franel each contributed many problems to L’Intermédiaire des mathématiciens, the periodical in which they posed their questions. Information about Franel is given in [82].

Lerch [96] answers Franel’s questions in 1904. If x is irrational and pq is a convergent of x (which we will define in §4), then using Theorem 2 (from §4) we can show that if 1≤k≤q then [k⁢x]=[k⁢pq]. Lerch uses this and (6) to show that if x is irrational and pq is a convergent of x then

∑k=1q[k⁢x]=q⁢(q+1)⁢x2-q2+R,0<R<12.

Lerch states that if the continued fraction expansion of x has bounded partial quotients (defined in §4) then, for any positive integer n,

∑k=1n[k⁢x]=n⁢(n+1)⁢x2-n2+O⁢(log⁡n).

Lerch only gives a brief indication of the proof of this. This result is proved by Hardy and Littlewood in 1922 [57, p. 24, Theorem B3], and also in 1922 by Ostrowski [110, p. 81]. On the other hand, Lerch also constructs examples of x such that, for some positive integer c,

|∑k=1n[k⁢x]-n⁢(n+1)⁢x2+n2|≫n1-1c.

Nevertheless, in 1909 Sierpinski [135] proves that if x is irrational then

∑k=1n[k⁢x]=n⁢(n+1)⁢x2-n2+o⁢(n).

A bibliography of Lerch’s works is given in [139]. Lerch had written earlier papers on Gauss sums, Fourier series, theta functions, and the class number; many of his papers are in Czech, but some of them are in French, several of which were published in the Paris Comptes rendus. Several of Lerch’s papers are discussed in Cresse’s survey of the class number of binary quadratic forms [36, Chapter VI].

In 1899, a writer using the pseudonym “Quemquaeris” [121] (“quem quaeris” = “whom you seek”) asks if we can characterize ϕ⁢(n) such that for all irrational θ the series

∑n=1∞ϕ⁢(n)sin⁡n⁢π⁢θ

converges. In particular, the writer asks if ϕ⁢(n)=1n! satisfies this. In the same year, de la Vallée-Poussin [34] answers this question. (There are also responses following de la Vallée-Poussin’s by Borel and Fabry.) For a given function ϕ⁢(n), de la Vallée-Poussin shows that if we have an>1ϕ⁢(qn-1) for all n, for an the nth partial quotient of θ and qn the denominator of the nth convergent of θ, then the series

∑n=1∞ϕ⁢(n)sin⁡n⁢π⁢θ

will diverge. Hardy and Littlewood prove numerous results on similar series, e.g. for ϕ⁢(n)=n-r for real r>1 and for certain classes of θ, in their papers on Diophantine approximation [61]. In 1931, Walfisz [152, p. 570, Hilfssatz 4] shows, following work of Behnke [13, p. 289, §16], that for almost all irrational x∈[0,1], if ϵ>0 then

∑k=1n1∥k⁢θ∥=O⁢(n⁢(log⁡n)2+ϵ),

where ∥x∥=min⁡(R⁢(x),1-R⁢(x)). Walfisz’s paper includes many results on related sums.

In 1916, Watson [153] finds the following asymptotic series for Sn=∑m=1n-1csc⁡(m⁢πn):

π⁢Sn∼2⁢n⁢log⁡(2⁢n)+2⁢n⁢(γ-log⁡π)+∑j=1∞(-1)j⁢B2⁢j2⁢(22⁢j-2)⁢π2⁢jj⁢(2⁢j)!⁢n2⁢j-1,

where γ is Euler’s constant and Bj are the Bernoulli numbers. Truncating the asymptotic series and rewriting gives

Sn=2⁢n⁢log⁡nπ+n⋅2⁢log⁡2+2⁢γ-2⁢log⁡ππ+O⁢(1n).

For example, computing S1000 directly we get S1000=4477.593932⁢…, and computing the right-hand side of the above formula without the error term we obtain 4477.594019⁢… A cleaner derivation of the asymptotic series using the Euler-Maclaurin summation formula is given later by Williams [155].

Early surveys of Diophantine approximation are given by Bohr and Cramér [20, pp. 833–836, §39] and Koksma [81, pp. 102–110]. Hlawka and Binder [66] present the history of the initial years of the theory of uniform distribution. Narkiewicz [106, pp. 82–95, §2.5 and pp. 175–183 §3.5] gives additional historical references on Diophantine approximation. The papers of Hardy and Littlewood on Diophantine approximation are reprinted in [61]. Perron [113] and Brezinski [23] give historical references on continued fractions, and there is reliable material on the use of continued fractions by 17th century mathematicians in Whiteside [154]. Fowler [51] presents a prehistory of continued fractions in Greek mathematics.

4 Preliminaries on continued fractions

Let

∥x∥=mink∈ℤ⁡|x-k|=min⁡(R⁢(x),1-R⁢(x)).

Let μ be Lebesgue measure on [0,1], and let Ω=[0,1]∖ℚ.

For positive integers a1,…,an, we define

[a1,…,an]=1a1+1⋯+1an-1+1an.

For example, [1,1,1]=23.

Let ℕ be the set of positive integers. We call a∈ℕℕ a continued fraction, and we call an the nth partial quotient of a. If there is some K>0 such that an≤K for all n then we say that a has bounded partial quotients. We call [a1,…,an] the nth convergent of a. For n≥1 let

pnqn=[a1,…,an],

with pn,qn positive integers that are relatively prime, and set

p0=0,q0=1.

One can show by induction [44, p. 70, Lemma 3.1] that for n≥1 we have

(pnpn-1qnqn-1)=(0110)⁢(a1110)⁢⋯⁢(an110). (8)

We have

p1=1,q1=a1,

and from (8) we get for all n≥1 that

pn+1=an+1⁢pn+pn-1,

and

qn+1=an+1⁢qn+qn-1.

Since the an are positive integers we get by induction that for all n≥1,

pn≥2(n-1)/2,qn≥2(n-1)/2. (9)

In fact, setting F1=1,F2=1, Fn+1=Fn+Fn-1 for n≥2, with Fn the nth Fibonacci number, as an≥1 we check by induction that

pn≥Fn,qn≥Fn+1.

Taking determinants of (8) gives us for all n≥1 that

pn⁢qn-1-pn-1⁢qn=(-1)n+1, (10)

and then by induction we have for all n≥1,

pnqn=∑k=1n(-1)k+1qk-1⁢qk.

For any a∈ℕℕ, as n→∞ this sequence of sums converges and we denote its limit by v⁢(a). We have for all n≥1,

v⁢(a)-pnqn=∑k=n+1∞(-1)k+1qk-1⁢qk.

Since the right hand side is an alternating series we obtain for n≥1,

|v⁢(a)-pnqn|<1qn⁢qn+1, (11)

and

|v⁢(a)-pnqn|>1qn⁢qn+1-1qn+1⁢qn+2=an+2qn⁢qn+2≥1qn⁢(qn+1+qn), (12)

and

p2q2<p4q4<⋯<v⁢(a)<⋯<p3q3<p1q1. (13)

For x∈Ω, we say that pq∈ℚ, q>0, is a best approximation to x if ∥q⁢x∥=|q⁢x-p| and ∥q′⁢x∥>∥q⁢x∥ for 1≤q′<q. The following theorem shows in particular that the convergents of a continued fraction a are best approximations to v⁢(a) [127, p. 22, Chapter 2, §3, Theorem 1].

Theorem 2 (Best approximations).

Let a∈ℕℕ. For any n≥1,

∥qn⁢v⁢(a)∥=|pn-qn⁢v⁢(a)|.

If 1≤q<qn+1, then for any p∈ℤ,

|q⁢v⁢(a)-p|≥|pn-qn⁢v⁢(a)|.
Proof.

By (11), |qn⁢v⁢(a)-pn|<1qn+1. But

qn+1≥q2=a2⁢q1+q0≥q1+q0=a1+1≥2.

So |qn⁢v⁢(a)-pn|<12, which means ∥qn⁢v⁢(a)∥=|qn⁢v⁢(a)-pn|.

Write x=v⁢(a) and let A=(pn+1pnqn+1qn). Applying (10),

det⁡A=pn+1⁢qn-pn⁢qn+1=(-1)n.

Let

(μν)=A-1⁢(pq)=1det⁡A⁢(qn-pn-qn+1pn+1)⁢(pq)=(-1)n⁢(qn-pn-qn+1pn+1)⁢(pq).

Then

q⁢x-p=(μ⁢qn+1+ν⁢qn)⁢x-(pn+1⁢μ+pn⁢ν)=μ⁢(qn+1⁢x-pn+1)+ν⁢(qn⁢x-pn)

and

(pq)=A⁢(μν)=(pn+1pnqn+1qn)⁢(μν)=(pn+1⁢μ+pn⁢νqn+1⁢μ+qn⁢ν).

In particular, μ,ν∈ℤ. Suppose by contradiction that ν=0. Then (q-μ⁢qn+1)⁢x=p-μ⁢pn+1, and as x∉ℚ it must then be that q=μ⁢qn+1 and p=μ⁢pn+1. But q=μ⁢qn+1, 1≤q<qn+1, and μ∈ℤ are together a contradiction. Therefore ν≠0. Either μ=0 or μ≠0. For μ=0,

|q⁢x-p|=|ν|⁢|qn⁢x-pn|≥|qn⁢x-pn|,

which is the claim. For μ≠0 we use the fact q=qn+1⁢μ+qn⁢ν and 1≤q<qn+1. If μ,ν>0 then q<qn+1 is contradicted, and if μ,ν<0 then q≥1 is contradicted. Therefore μ and ν have different signs, say μ=(-1)N⁢|μ| and ν=(-1)N+1⁢|ν|. Furthermore, we get from (13) that

sgn⁢(qn⁢x-pn)=(-1)n,sgn⁢(qn+1⁢x-pn+1)=(-1)n+1.

Therefore

q⁢x-p =μ⁢(qn+1⁢x-pn+1)+ν⁢(qn⁢x-pn)
=(-1)N⁢|μ|⋅(-1)n+1⁢|qn+1⁢x-pn+1|+(-1)N+1⁢|ν|⋅(-1)n⁢|qn⁢x-pn|,

hence

|q⁢x-p|=|μ|⁢|qn+1⁢x-pn+1|+|ν|⁢|qn⁢x-pn|≥|ν|⁢|qn⁢x-pn|≥|qn⁢x-pn|,

which is the claim. ∎

The above theorem says, a fortiori, that the convergents of a are best approximations to v⁢(a). It can also be proved that if pq∈ℚ, q>0, is a best approximation to v⁢(a) then pq is a convergent of a [92, p. 9, Theorem 6]. Cassels [27, p. 2, Chapter I] works out the theory of continued fractions according to this point of view. Similarly, Milnor [101, p. 234, Appendix C] works out the theory of continued fractions in the language of rotations of the unit circle.

We define the Gauss transformation T:Ω→Ω by T⁢(x)=R⁢(1x) for x∈Ω, and we define Φ:Ω→ℕℕ by

(Φ⁢(x))n=[1Tn-1⁢(x)],n≥1.

One can check that if a∈ℕℕ then v⁢(a)∈Ω [44, p. 73, Lemma 3.2]. (Namely, the value of a nonterminating continued fraction is irrational.) One can prove that v:ℕℕ→Ω is injective [44, p. 75, Lemma 3.4], and for x∈Ω that [44, p. 78, Lemma 3.6]

(v∘Φ)⁢(x)=x.

Therefore Φ:Ω→ℕℕ is a bijection. Moreover, Φ is a homeomorphism, when ℕ has discrete topology, ℕℕ has the product topology, and Ω has the subspace topology inherited from ℝ [44, p. 86, Exercise 3.2.2]. That ℕℕ and Ω are homeomorphic can also be proved without using continued fractions [2, p. 106, Theorem 3.68]. In descriptive set theory, the topological space 𝒩=ℕℕ is called the Baire space, and the Alexandrov-Urysohn theorem states that 𝒩 has the universal property that any nonempty Polish space that is zero-dimensional (there is a basis of clopen sets for the topology) and all of whose compact subsets have empty interior is homeomorphic to 𝒩 [75, p. 37, Theorem 7.7]. Some of Baire’s work on 𝒩 is described in [71, pp. 119–120] and [5, pp. 349, 372].

For I=[0,1] and for T:I→I, T⁢(x)=R⁢(1/x) for x>0 and T⁢(0)=0. For k≥1 let Ik=(1k+1,1k), so if x∈Ik then T⁢(x)=x-1-k. Then for x∈I=[0,1],

T⁢(x)=∑k=1∞1Ik⁢(x)⁢(x-1-k).

For S={0}∪{k-1:k≥1}, I∖S=⋃k≥1Ik, and for x∈I∖S,

T′⁢(x)=-∑k=1∞1Ik⁢(x)⁢x-2,

and for x∈Ik, k2<|T′⁢(x)|<(k+1)2. Differentiability and dynamical properties of the Gauss transformation are worked out by Cornfeld, Fomin and Sinai [30, pp. 165–177, Chapter 7, §4], as an instance of piecewise monotonic transformations.

For each n≥1 we define an:Ω→ℕ by an⁢(x)=(Φ⁢(x))n. For example, e-2∈Ω, and it is known [92, p. 74, Theorem 2] that for k≥1,

a3⁢k⁢(e-2)=a3⁢k-2⁢(e-2)=1 and a3⁢k-1⁢(e-2)=2⁢k.

The pattern for the continued fraction expansion of e seems first to have been worked out by Roger Cotes in 1714 [50], and was later proved by Euler using a method involving the Riccati equation [31].

For n≥1 and i∈ℕn, let

In⁢(i)={ω∈Ω:ak⁢(x)=ik,1≤k≤n}.

For x∈In⁢(i),

pn⁢(x)qn⁢(x)=[i1,…,in],pn-1⁢(x)qn-1⁢(x)=[i1,…,in-1].

The following is an expression for the sets In⁢(i) [69, p. 18, Theorem 1.2.2].

Theorem 3.

Let n≥1, i∈ℤ≥1n, and for pn=pn⁢(x), qn=qn⁢(x), x∈In⁢(i),

un⁢(i)={pn+pn-1qn+qn-1n oddpnqnn even

and

vn⁢(i)={pnqnn oddpn+pn-1qn+qn-1n even.

Then

In⁢(i)=Ω∩(un⁢(i),vn⁢(i)).

It follows from the above that for i∈ℕn, n≥1,

μ⁢(In⁢(i))=1qn⁢(qn+qn-1).

5 Diophantine conditions

For real τ,γ>0 let

𝒟⁢(τ,γ) =⋂q∈ℤ≥1,p∈ℤ{x∈[0,1]:|x-pq|≥γ⁢q-τ}
=⋂q∈ℤ≥1{x∈[0,1]:∥q⁢x∥≥γ⁢q-τ+1},

and let

𝒟⁢(τ)=⋃γ>0𝒟⁢(τ,γ).

We relate the sets 𝒟⁢(τ) and continued fractions expansions [101, p. 241, Lemma C.6], cf. [158, p. 130, Proposition 2.4].

Lemma 4.

For τ>0 and x∈Ω, x∈𝒟⁢(τ) if and only if there is some C=C⁢(x)>0 such that qn+1⁢(x)≤C⁢qn⁢(x)τ-1 for all n≥1.

Proof.

For x∈Ω, write qn=qn⁢(x). By (12), ∥qn⁢x∥>1qn+1+qn, and by (11), ∥qn⁢x∥<1qn+1. Suppose x∈𝒟⁢(τ), so there is some γ>0 such that x∈𝒟⁢(τ,γ). Then

qn+1<1∥qn⁢x∥≤γ-1⁢qnτ-1.

Suppose qn+1≤C⁢qnτ-1 for all n≥1. For q∈ℤ≥1, take qn≤q<qn+1. Using Theorem 2,

∥q⁢x∥≥∥qn⁢x∥>1qn+1+qn>12⁢qn+1≥12⁢C-1⁢qn-τ+1≥12⁢C⋅q-τ+1,

which means that x∈𝒟⁢(τ,12⁢C). ∎

For K a positive integer, let

ℬK={x∈Ω:an⁢(x)≤K for all n≥1},

so ℬ=⋃K≥1ℬK is the set of those x∈Ω with bounded partial quotients.

Lemma 5.

For x∈Ω, x∈𝒟⁢(2) if and only if x∈ℬ.

Proof.

Write an=an⁢(x) and qn=qn⁢(x). If x∈𝒟⁢(2) then there is some γ>0 such that x∈𝒟⁢(2,γ), hence for n≥1,

qn+1<1∥qn⁢x∥≤γ-1⁢qn.

Now, qn+1=an+1⁢qn+qn-1 for n≥1, so

an+1<qn+1⁢qn-1<qn-1⋅γ-1⁢qn=γ-1,

which shows that x has bounded partial quotients.

If x∈ℬK, let q∈ℤ≥1 and let qn≤q<qn+1. Using Theorem 2 and then (12),

∥q⁢x∥≥∥qn⁢x∥>1qn+1+qn=1an+1⁢qn+qn-1+qn>1(an+1+2)⁢qn.

As x∈ℬK,

∥q⁢x∥>1(K+2)⁢qn≥1K+2⁢q-1,

which means that x∈𝒟⁢(2,1K+2). ∎

A complex number α is called an algebraic number of degree d, d≥0, if there is some polynomial f∈ℤ⁢[x] with degree d such that f⁢(α)=0 and if g∈ℤ⁢[x] has degree <d and g⁢(α)=0 then g=0. An algebraic number number of degree 2 is called a quadratic irrational. Let α∈Ω. It was proved by Euler [59, p. 144, Theorem 176] that if there is some p>0 and some L such that al+p⁢(α)=al⁢(α) for all l≥L then α is a quadratic irrational The converse of this was proved by Lagrange [59, p. 144, Theorem 177], namely that a quadratic irrational has eventually periodic partial quotients. For example, α=11-3∈Ω is a quadratic irrational, being a root of x2+6⁢x-2, and one works out that a1⁢(α)=3,a2⁢(α)=6, and that al+2⁢(α)=al⁢(α) for l≥1. In particular, if α∈Ω is a quadratic irrational, then α has bounded partial quotients.

Liouville [59, p. 161, Theorem 191] proved that if x∈Ω is an algebraic number of degree d≥2, then x∈𝒟⁢(d). The Thue-Siegel-Roth theorem [48, p. 55, Theorem 1.23] states that if x∈Ω is an algebraic number, then for any δ>0 there is some qδ∈ℤ≥1 such that for all q≥qδ,

∥q⁢x∥≥q-1-δ.

See Schmidt [131, p. 195, Theorem 2B].

6 Sums of reciprocals

We are interested in getting bounds on the sum ∑j=1m1∥j⁢x∥. This is an appealing question because the terms 1∥j⁢x∥ are unbounded.

Rather than merely stating that ∑k=1∞1k=∞, we give more information by giving the estimate

∑k=1n1k=log⁡n+γ+O⁢(n-1),

where γ is Euler’s constant. Likewise, rather than merely stating that there are infinitely many primes, we state more information with [90, p. 102, §28]

∑p≤x1p=log⁡log⁡x+B+O⁢(1log⁡x),

for a certain constant B (namely “Merten’s constant”), or with [90, p. 226, §61]

∑p≤xp=x22⁢log⁡x+O⁢(x2(log⁡x)2).

Because |sin⁡(π⁢x)|=sin⁡(π⁢∥x∥)≤π⁢∥x∥ and

|sin⁡(π⁢x)|=sin⁡(π⁢∥x∥)≥2π⁢π⁢∥x∥=2⁢∥x∥,

we have

1π⁢∑j=1m1∥j⁢x∥≤∑j=1m1|sin⁡π⁢j⁢x|≤12⁢∑j=1m1∥j⁢x∥. (14)

Thus, getting bounds on ∑j=1m1∥j⁢x∥ will give us bounds on ∑j=1m1|sin⁡π⁢j⁢x|.

Let ψ be a nondecreasing function defined on the positive integers such that ψ⁢(h)>0 for h≥1 (for example, ψ⁢(h)=log⁡(2⁢h)). Following Kuipers and Niederreiter [85, p. 121, Definition 3.3], we say that an irrational number x is of type <ψ if ∥h⁢x∥≥1h⁢ψ⁢(h) for all integers h≥1. If ψ is a constant function, then we say that x is of constant type.

Lemma 6.

x∈Ω is of constant type if and only if it has bounded partial quotients.

Proof.

Suppose that x∈Ω is of constant type. So there is some K>0 such that ∥h⁢x∥≥1h⁢K for all integers h≥1. For n≥2 we have qn=an⁢qn-1+qn-2, and hence, by (11),

an=qnqn-1-qn-2qn-1<qnqn-1≤qn⋅K⁢∥qn-1⁢x∥<K,

showing that x has bounded partial quotients.

Suppose that x∈Ω has bounded partial quotients, say an≤K for all n≥1. Let h be a positive integer and take qn≤h<qn+1. Then first by Theorem 2 and then by (12),

∥h⁢x∥≥∥qn⁢x∥>1qn+qn+1>12⁢qn+1=12⁢(an+1⁢qn+qn-1)>12⁢(an+1⁢qn+qn),

and so

∥h⁢x∥>12⁢(K+1)⁢1qn≥12⁢(K+1)⁢1h,

showing that x is of constant type. ∎

However, almost all x do not have bounded partial quotients [78, p. 60, Theorem 29]. Shallit [134] gives a survey on numbers with bounded partial quotients.

We state and prove a result of Khinchin’s [78, p. 69, Theorem 32] that we then use.

Lemma 7.

Let f be a positive function on the positive integers. If

∑q=1∞f⁢(q)<∞,

then for almost all x∈Ω there are only finitely many q such that ∥q⁢x∥<f⁢(q).

Proof.

For each positive integer q, let Eq={t∈Ω:∥q⁢t∥<f⁢(q)}. If t∈Eq, then there is some integer p with 0≤p≤q such that |t-pq|<f⁢(q)q. It follows that

Eq⊂(0,f⁢(q)q)∪(1-f⁢(q)q,1)∪⋃p=1q-1(pq-f⁢(q)q,pq+f⁢(q)q).

Therefore

∑q=1∞μ⁢(Eq)≤∑q=1∞2⁢q⋅f⁢(q)q=2⁢∑q=1∞f⁢(q)<∞.

Let E=lim supq→∞⁡Eq, i.e. E={t∈Ω:t∈Eq⁢for infinitely many q}. Then by the Borel-Cantelli lemma [19, p. 59, Theorem 4.3] we have that μ⁢(E)=0. Therefore, for almost all t∈Ω there are only finitely many q such that t∈Eq, i.e., for almost all t∈Ω there are only finitely many q such that ∥q⁢t∥<f⁢(q). ∎

The above lemma is proved in Benedetto and Czaja [15, p. 183, Theorem 4.3.3] using the fact that a function of bounded variation is differentiable almost everywhere. We outline the proof. Define F:[0,1]→ℝ>0 by F⁢(x)=f⁢(q)q if x=aq, gcd⁡(a,q)=1, 0≤a≤q, and F⁢(x)=0 if x∈Ω. Writing 𝒜q={aq:0≤a≤q,gcd⁡(a,q)=1}, for 0=t0<t1<⋯<tN=1,

∑j=0NF⁢(tj)=∑q=1∞∑j=0NF⁢(tj)⋅1𝒜q⁢(tj)=∑q=1∞f⁢(q)q⁢∑j=0N1𝒜q⁢(tj)≤∑q=1∞f⁢(q).

It follows that the total variation of F is ≤2⁢∑q=1∞f⁢(q) and hence F is a function of bounded variation. Because F has bounded variation, the set DF of x∈[0,1] at which F is differentiable is a Borel set with λ⁢(DF)=1. Check that F′⁢(x)=0 for x∈DF∖ℚ, and using this, if anqn→x with gcd⁡(an,qn)=1 and 0≤an≤qn then for some N, if n≥N then |x-anq|≥F⁢(qn)qn.

We use the above lemma to prove the following result.

Lemma 8.

Let ϵ>0. For almost all x∈Ω, there is some K>0 such that x is of type <K⁢(log⁡h)1+ϵ.

Proof.

Let

E={t∈Ω:∥h⁢t∥<1h⁢(log⁡h)1+ϵ⁢for infinitely many h}.

Since ∑h=1∞1h⁢(log⁡h)1+ϵ converges, we have by Lemma 7 that μ⁢(E)=0. Let t∈Ω∖E. Then ∥h⁢t∥≥1h⁢(log⁡h)1+ϵ for all sufficiently large h. It follows that there is some K such that t is of type <K⁢(log⁡h)1+ϵ. ∎

The following technical lemma is from Kuipers and Niederreiter [85, p. 130, Exercise 3.9]; cf. Lang [92, p. 39, Lemma].

Lemma 9.

Let x∈Ω be of type <ψ. If n≥0 and if 0≤h0<qn+1, then

∑j+h0<qn+11≤j≤qn1∥(j+h0)⁢x∥<6⁢qn⁢(ψ⁢(qn)+log⁡qn).
Proof.

Since pn and qn are relatively prime, the remainders of j⁢pn, j=1,…,qn, when divided by qn are all distinct. Then also, the remainders of j⁢pn+h0⁢pn, j=1,…,qn, when divided by qn are all distinct. Let λj, j=1,…,qn, be the remainder of j⁢pn+h0⁢pn when divided by qn. We have {λj:1≤j≤qn}={0,…,qn-1}; let λj1=0, λj2=1, and λj3=qn-1.

Write x=pnqn+δnqn⁢qn+1; by (11) we have |δn|<1. If j+h0<qn+1 then by Theorem 2 we have ∥(j+h0)⁢x∥≥∥qn⁢x∥, and since x is of type <ψ we have

∥(j+h0)⁢x∥≥∥qn⁢x∥≥1qn⁢ψ⁢(qn).

Let, for i=1,2,3,

Ai={1,if ji+h0<qn+1,0,if ji+h0≥qn+1.

If j+h0<qn+1 and j≠j1,j2,j3, then

∥λjqn+(j+h0)⁢δnqn⁢qn+1∥≥min⁡{∥λjqn+1qn∥,∥λjqn-1qn∥}.

It follows that

∑j+h0<qn+11≤j≤qn1∥(j+h0)⁢x∥ = A1∥(j1+h0)⁢x∥+A2∥(j2+h0)⁢x∥+A3∥(j3+h0)⁢x∥
+∑j≠j1,j2,j3j+h0<qn+11≤j≤qn1∥λjqn+(j+h0)⁢δnqn⁢qn+1∥
≤ 3⁢qn⁢ψ⁢(qn)+∑j≠j1,j2,j3j+h0<qn+11≤j≤qn1∥λjqn+(j+h0)⁢δnqn⁢qn+1∥
≤ 3⁢qn⁢ψ⁢(qn)+∑j≠j1,j2,j3j+h0<qn+11≤j≤qn1∥λjqn+1qn∥
+∑j≠j1,j2,j3j+h0<qn+11≤j≤qn1∥λjqn-1qn∥
< 3⁢qn⁢ψ⁢(qn)+2⁢∑k=1qn-11∥kqn∥.

But 1∥y∥<1R⁢(y)+11-R⁢(y) for y∉ℤ, so

∑k=1qn-11∥kqn∥ < ∑k=1qn-11R⁢(kqn)+11-R⁢(kqn)
= ∑k=1qn-11kqn+11-kqn
= 2⁢qn⁢∑k=1qn-11k
< 3⁢qn⁢log⁡qn;

the last inequality is because, for all m≥1,

∑k=1m1k<32⁢log⁡(m+1).

∎

We now use Lemma 9 to obtain a bound on ∑j=1m1∥j⁢x∥ in terms of the type of x. This is from Kuipers and Niederreiter [85, p. 131, Exercise 3.11]; cf. Lang [92, p. 39, Theorem 2].

Theorem 10.

If x∈Ω is of type <ψ, then for all m≥1 we have

∑j=1m1∥j⁢x∥<12⁢m⁢(ψ⁢(m)+log⁡m).
Proof.

We shall prove the claim by induction. Because x is of type <ψ, we have

1∥x∥≤ψ⁢(1)<12⁢ψ⁢(1),

so the claim is true for m=1. Take m>1 and assume that the claim is true for all 1≤m′<m. We shall show that it is true for m.

Let qn≤m<qn+1. Either m<2⁢qn or m≥2⁢qn. In the first case, using Lemma 9 we have

∑j=1m1∥j⁢x∥ = ∑j=1qn1∥j⁢x∥+∑j=1m-qn1∥(j+qn)⁢x∥
< 12⁢qn⁢(ψ⁢(qn)+log⁡qn)
< 12⁢m⁢(ψ⁢(m)+log⁡m).

In the second case, using the induction assumption (with m′=m-qn) and Lemma 9 we have, because qn<m-qn,

∑j=1m1∥j⁢x∥ = ∑j=1m-qn1∥j⁢x∥+∑j=1qn1∥(j+m-qn)⁢x∥
< 12⁢(m-qn)⁢(ψ⁢(m-qn)+log⁡(m-qn))+6⁢qn⁢(ψ⁢(qn)+log⁡qn)
< 12⁢(m-qn)⁢(ψ⁢(m)+log⁡m)+12⁢qn⁢(ψ⁢(qn)+log⁡qn)
= 12⁢m⁢(ψ⁢(m)+log⁡m)-12⁢qn⁢(ψ⁢(m)-ψ⁢(qn)+log⁡m-log⁡qn)
≤ 12⁢m⁢(ψ⁢(m)+log⁡m).

The claim is true in both cases, which completes the proof by induction. ∎

We can now establish for almost all x∈Ω a tractable upper bound on the sum ∑j=1m1∥j⁢x∥, and thus by (14) also on ∑j=1m1|sin⁡π⁢j⁢x|; cf. Lang [92, p. 44, Theorem 3].

Theorem 11.

Let ϵ>0. For almost all x∈Ω, we have

∑j=1m1∥j⁢x∥=O⁢(m⁢(log⁡m)1+ϵ),

while if x has bounded partial quotients then

∑j=1m1∥j⁢x∥=O⁢(m⁢log⁡m).
Proof.

Let ϵ>0. By Lemma 8, for almost all x∈Ω there is some K such that x is of type <K⁢(log⁡h)1+ϵ. For such an x, it follows from Theorem 10 that for all m≥1,

∑j=1m1∥j⁢x∥<12⁢m⁢(K⁢(log⁡m)1+ϵ+log⁡m)=O⁢(m⁢(log⁡m)1+ϵ).

If x has bounded partial quotients then by Lemma 6 it is of constant type, say ψ⁢(m)=K for some K. It follows from Theorem 10 that for all m≥1,

∑j=1m1∥j⁢x∥<12⁢m⁢(K+log⁡m)=O⁢(m⁢log⁡m).

∎

For example, take x=-1+52, for which an⁢(x)=1 for all n∈ℕ, and so in particular x has bounded partial quotients. In Figure 1 we plot 1m⁢log⁡m⋅∑j=1m1∥j⁢x∥ for m=5000,…,40000. These computations suggest that there is some constant C for which ∑j=1m1∥j⁢x∥>C⁢m⁢log⁡m for all m. In Theorem 13 we shall prove that for almost all x∈Ω there is such a C⁢(x).

 for
Figure 1: 1m⁢log⁡m⁢∑j=1m1∥j⁢x∥ for x=-1+52, for m=5000,…,40000

However, the estimate in Theorem 11 is not true for all x∈Ω. Define a∈ℕℕ as follows. Let a1 be any element of ℕ. Then inductively, define an+1 to be any element of ℕ that is >qnn-1. Then for any n∈ℕ, using (11) and qn+1=an+1⁢qn+qn-1>an+1⁢qn we get

|qn⁢v⁢(a)-pn|<1qn+1<1an+1⁢qn<1qnn,

hence ∥qn⁢v⁢(a)∥<1qnn, and then

∑j=1qn1∥j⁢v⁢(a)∥>1∥qn⁢v⁢(a)∥>qnn.

Using ϵ=1, it is then straightforward to check that there is no constant C such that ∑j=1m1∥j⁢v⁢(a)∥≤C⁢m⁢(log⁡m)2 for all m.

We will need the following lemma [19, p. 324, Lemma 3] to prove a theorem; cf. Khinchin [78, p. 63, Theorem 30].

Lemma 12.

If ϕ is a function defined on the positive integers such that ϕ⁢(n)≥1 for all n and

∑n=1∞1ϕ⁢(n)<∞,

then for almost all x∈Ω there are only finitely many n such that an⁢(x)≥ϕ⁢(n).

Proof.

For a measurable set A⊂Ω, define

γ⁢(A)=1log⁡2⁢∫A11+x⁢𝑑μ⁢(x),

in other words d⁢γ⁢(x)=1(1+x)⁢log⁡2⁢d⁢μ⁢(x). Thus for a measurable set A⊂Ω we have

γ⁢(A)≤1log⁡2⁢∫A𝑑x=1log⁡2⁢μ⁢(A)

and

γ⁢(A)≥1log⁡2⁢∫A12⁢𝑑x=12⁢log⁡2⁢μ⁢(A).

We will use that γ is an invariant measure for the Gauss transformation T:Ω→Ω [44, p. 77, Lemma 3.5], i.e., if A⊂Ω is a measurable set then

(T*⁢γ)⁢(A)=γ⁢(T-1⁢(A))=γ⁢(A).

Let An={x∈Ω:an⁢(x)≥ϕ⁢(n)}, n≥1. As

an⁢(x)=[1Tn-1⁢(x)],

we have

An ⊂ {x∈Ω:1Tn-1⁢(x)>ϕ(n)}
= {x∈Ω:Tn-1⁢(x)<1ϕ⁢(n)}
= (Tn-1)-1⁢([0,1ϕ⁢(n))∖ℚ).

Hence

μ⁢(An) ≤ μ⁢((Tn-1)-1⁢([0,1ϕ⁢(n))∖ℚ))
≤ 2⁢log⁡2⋅γ⁢((Tn-1)-1⁢([0,1ϕ⁢(n))∖ℚ))
= 2⁢log⁡2⋅γ⁢([0,1ϕ⁢(n))∖ℚ)
≤ 2⁢log⁡2⋅1log⁡2⋅μ⁢([0,1ϕ⁢(n))∖ℚ)
= 2ϕ⁢(n).

It follows that

∑n=1∞μ⁢(An)<∞,

and thus by the Borel-Cantelli lemma [19, p. 59, Theorem 4.3] we have

μ⁢(lim supn→∞⁡An)=0.

∎

Let λ be Lebesgue measure on I=[0,1], let d⁢γ⁢(x)=1(1+x)⁢log⁡2⁢d⁢λ⁢(x), and let T:I→I be the Gauss transformation, T⁢(x)=x-1-[x]-1 for x>0 and T⁢(0)=0, for which T*⁢γ=γ [44, p. 77, Lemma 3.5]. Suppose that ν is a Borel probability measure on [0,1] such that the pushforward measure T*⁢ν is absolutely continuous with respect to ν. For f∈L1⁢(ν), define d⁢νf=f⁢d⁢ν, and define Pν:L1⁢(ν)→L1⁢(ν) by

Pν⁢f=d⁢(T*⁢νf)d⁢ν,f∈L1⁢(ν).

Thus, for g∈L∞⁢(ν), using the change of variables formula,

∫Ig⋅Pν⁢f⁢𝑑ν=∫Ig⁢d⁢(T*⁢νf)=∫Ig∘T⁢𝑑νf=∫I(g∘T)⋅f⁢𝑑ν,

in particular,

∫IPν⁢f⁢𝑑ν=∫If⁢𝑑ν.

We call Pν:L1⁢(ν)→L1⁢(ν) a Perron-Frobenius operator for T. It is a fact that if f≥0 then Pν⁢f≥0 [69, p. 57, Proposition 2.1.1], namely Pν≥0. It can be proved that for f∈L1⁢(γ), for almost all x∈I [69, p. 59, Proposition 2.1.2],

(Pγ⁢f)⁢(x)=∑k=1∞x+1(x+k)⁢(x+k+1)⋅f⁢(1x+k),

and for f∈L1⁢(λ), for almost all x∈I [69, p. 60, Corollary 2.1.4],

(Pλ⁢f)⁢(x)=∑k=1∞1(x+k)2⋅f⁢(1x+k),

and with g⁢(x)=(x+1)⁢f⁢(x), for n≥1 it holds for almost all x∈I that (Pλn⁢f)⁢(x)=(Pγn⁢g)⁢(x)x+1. Iosifescu and Kraaikamp [69, Chapter 2] give a detailed presentation of Perron-Frobenius operators for the Gauss map. We make the final remark that Pν⁢1I=1I is equivalent with ∫I1E⁢𝑑ν=∫I1T-1⁢(E)⁢𝑑ν for all Borel sets E in I, i.e. ν⁢(E)=ν⁢(T-1⁢(E)), which in turn means T*⁢ν=ν, cf. Markov operators [83, Chapter 5, §5.1, pp. 177-186]. An object similar to Perron-Frobenius operators for the Gauss transformation is the zeta-function for the Gauss transformation, for which see Lagarias [87, p. 58, §3.3].

The following theorem gives a lower bound on the sum ∑j=1m1∥j⁢x∥, cf. [150, p. 4, Theorem 3.1].

Theorem 13.

For almost all x∈Ω there is some C>0 such that

∑j=1m1∥j⁢x∥>C⁢m⁢log⁡m.
Proof.

For all x∈Ω, if n≥1 then qn≥2n-12, by (9). Take ϕ⁢(n)=2n-22. The series ∑n=1∞1ϕ⁢(n) converges, so by Lemma 12, for almost all x∈Ω there are only finitely many n such that an≥ϕ⁢(n). That is, for almost all x∈Ω there is some n0 such that if n≥n0 then

an<ϕ⁢(n)=2n-22≤qn-1.

Hence, if n≥n0 then

qn=an⁢qn-1+qn-2<qn-12+qn-2<2⁢qn-12.

It follows that for almost all x∈Ω there is some K such that

qn+1<K⁢qn2 (15)

for all n≥0.

For such an x, let m be a positive integer and let qn≤m<qn+1. For 1≤j≤m we have by (11),

∥j⁢x-j⁢pnqn∥≤|j⁢x-j⁢pnqn|=j⁢|x-pnqn|<jqn⁢qn+1<1qn.

Therefore for 1≤j≤m we have

∥j⁢x∥≤∥j⁢x-j⁢pnqn∥+∥j⁢pnqn∥<1qn+∥j⁢pnqn∥.

Let L=[mqn], so L⁢qn≤m. Then,

∑j=1m1∥j⁢x∥ > ∑j=1m11qn+∥j⁢pnqn∥
≥ ∑l=0L-1∑h=1qn11qn+∥(l⁢qn+h)⁢pnqn∥
= qn⁢∑l=0L-1∑h=1qn11+qn⁢∥h⁢pnqn∥
= L⁢qn⁢∑h=1qn11+qn⁢∥h⁢pnqn∥
= L⁢qn⁢∑k=0qn-111+qn⋅kqn
> L⁢qn⁢log⁡qn.

But if y≥1 then [y]>y2, so L=[mqn]>m2⁢qn. Hence by (15),

∑j=1m1∥j⁢x∥>m2⁢log⁡qn>m2⁢log⁡qn+1K>m2⁢log⁡mK,

and thus there is some C>0 such that ∑j=1m1∥j⁢x∥>C⁢m⁢log⁡m for all m≥1. ∎

The following is from Kuipers and Niederreiter [85, p. 131, Exercise 3.12].

Theorem 14.

If x∈Ω is of type <ψ, then for all m≥1 we have

∑j=1m1j⁢∥j⁢x∥<24⁢((log⁡m)2+ψ⁢(m)+∑j=1mψ⁢(j)j).
Proof.

Summation by parts is the following identity, which can be easily checked:

∑n=1Nan⁢(bn+1-bn)=aN+1⁢bN+1-a1⁢b1-∑n=1Nbn+1⁢(an+1-an).

Let aj=1j, let sj=∑h=1j1∥h⁢x∥, let b1=0, and let bj=sj-1 for j≥2. Doing summation by parts gives

∑j=1m1j⁢∥j⁢x∥=1m+1⁢sm-∑j=1msj⁢(1j+1-1j)=1m+1⁢sm+∑j=1msj⁢1j⁢(j+1).

As x is of type <ψ, we can use Theorem 10 to get sj<12⁢j⁢(ψ⁢(j)+log⁡j) for each j≥1. Therefore

∑j=1m1j⁢∥j⁢x∥ < 1m+1⁢12⁢m⁢(ψ⁢(m)+log⁡m)+∑j=1m12⁢(ψ⁢(j)+log⁡j)j+1
< 12⁢(ψ⁢(m)+log⁡m)+12⁢(log⁡m)2+12⁢∑j=1mψ⁢(j)j+1
< 24⁢(log⁡m)2+12⁢ψ⁢(m)+12⁢∑j=1mψ⁢(j)j+1.

∎

Erdős [45] proves that for almost all x,

∑j=1m1j⁢∥j⁢x∥=(1+o⁢(1))⁢(log⁡m)2.

Kruse [84] gives a comprehensive investigation of the sums ∑j=1m1js⁢∥j⁢x∥t, s,t≥0. The results depend on whether s and t are are less than, equal, or greater than 1, and on whether t<s. One of the theorems proved by Kruse is the following [84, p. 260, Theorem 7]. If t>1 and 0≤s≤t, and if ϵ>0, then for almost all x we have

∑j=1m1js⁢∥j⁢x∥t=O⁢(mt-s⁢(log⁡m)(1+ϵ)⁢t).

Haber and Osgood [56, p. 387, Theorem 1] prove that for real t≥1, A>1, M>0, r>0, there is some C=C⁢(t,A,M,r)>0 such that for all x∈Ω satisfying qn+1⁢(x)<M⁢qn⁢(x)r, for all positive integers K,

∑n=K+1[A⁢K]∥n⁢x∥-t>{C⁢K⁢log⁡Kt=1C⁢K1+(t-1)/rt>1.

We remind ourselves that according to Theorem 4, the elements of 𝒟⁢(r+1) are those x∈Ω for which there is some c⁢(x)>0 such that qn+1⁢(x)≤C⁢(x)⁢qn⁢(x)r for all n≥1.

For x∈ℤ+12, define {{x}}=12. If x∉ℤ+12, then there is an integer mx for which |x-mx|<|x-n| for all integers n≠mx, and we define {{x}}=x-mx. Sinai and Ulcigrai [138, p. 96, Proposition 2] prove that if α has bounded partial quotients, then there is some C⁢(α) such that for all M,

|∑m=1M1{{m⁢α}}|≤C⁢(α)⁢M.

7 Weyl’s inequality, Vinogradov’s estimate, Farey fractions, and the circle method

Write

𝒜={(a,q)∈ℤ2:gcd⁡(a,q)=1,q≥1}.

We first prove four estimates following Nathanson [107, pp. 104–110, Lemmas 4.8–4.11] that we will use in what follows; cf. Vinogradov [149, p. 26, Chapter I, Lemma 8b].

Lemma 15.

There is some C such that if α∈ℝ, (a,q)∈𝒜, and

|α-aq|≤1q2,

then

∑1≤r≤q/21∥α⁢r∥≤C⁢q⁢log⁡q.
Proof.

For q=1, ∑1≤r≤q/21∥α⁢r∥=0. For q≥2, let 1≤r≤q2. As gcd⁡(a,q)=1 and r≢0(modq), a⁢r≢0(modq). So for μr=[a⁢rq], there is some 1≤σr≤q-1 such that a⁢r=μr⁢q+σr. Then

∥a⁢rq∥=∥σrq∥∈{σrq,1-σrq}={σrq,q-σrq}.

Put srq=∥a⁢rq∥, so (i) sr=σr or (ii) sr=q-σr. In case (i), srq=a⁢rq-μr. In case (ii), srq=1-(a⁢rq-μr). In case (i) let ϵr=1,mr=μr, and in case (ii) let ϵr=-1,mr=μr+1. Thus, whether (i) or (ii) holds we have

srq=ϵr⁢(a⁢rq-mr),srq=∥a⁢rq∥,1≤sr≤q2.

Write

α-aq=θq2,

for some real θ, |θ|≤1. For θr=2⁢rq⁢θ, which satisfies |θr|≤|θ|≤1,

α⁢r=a⁢rq+r⁢θq2=a⁢rq+θr2⁢q.

Then

∥α⁢r∥ =∥a⁢rq+θr2⁢q∥
=∥ϵr⁢srq+mr+θr2⁢q∥
≥∥ϵr⁢srq+mr∥-∥θr2⁢q∥
=srq-|θr2⁢q|
≥srq-12⁢q.

Take 1≤r1,r2≤q2 and suppose that sr1=sr2. So

ϵr1⁢(a⁢r1q-mr1)=ϵr2⁢(a⁢r2q-mr2)

hence a⁢r1≡ϵr1⁢ϵr2⁢a⁢r2(modq). As gcd⁡(a,q)=1, r1≡ϵr1⁢ϵr2⁢r2(modq). Because 1≤r1,r2≤q, if r1≡r2(modq) then r1=r2 and if r1≡-r2(modq) then r1=q2 and r2=q2, so in any case r1=r2. Therefore

{srq:1≤r≤q2}={sq:1≤s≤q2}.

Using the two things we have established,

∑1≤r≤q/21∥α⁢r∥ ≤∑1≤r≤q/21srq-12⁢q
=∑1≤s≤q/21sq-12⁢q
=2⁢q⁢∑1≤s≤q/212⁢s-1
≤2⁢q⁢∑1≤s≤q/21s
≤2⁢q⁢(log⁡q2+γ+O⁢(q-1))
=O⁢(q⁢log⁡q).

∎

Lemma 16.

There is some C such that if α∈ℝ, (a,q)∈𝒜, and

|α-aq|≤1q2,

then for any positive real V and nonnegative integer h,

∑r=1qmin⁡(V,1∥α⁢(h⁢q+r)∥)≤C⁢(V+q⁢log⁡q).
Proof.

Write

α=aq+θq2,

which satisfies |θ|≤1, and for 1≤r≤q define

δr=R⁢(θ⁢h)+θ⁢rq,

which satisfies -1≤δr<2. Then

α⁢(h⁢q+r) =(aq+θq2)⁢(h⁢q+r)
=a⁢h+a⁢rq+θ⁢hq+θ⁢rq2
=a⁢h+a⁢rq+R⁢(θ⁢h)+[θ⁢h]q+θ⁢rq2
=a⁢h+a⁢r+[θ⁢h]+δrq.

For mr=[a⁢r+[θ⁢h]+δrq2],

R⁢(α⁢(h⁢q+r))=R⁢(a⁢r+[θ⁢h]+δrq)=a⁢r+[θ⁢h]+δrq-mr.

Suppose that t∈[0,1-1q] and that t≤R⁢(α⁢(h⁢q+r))≤t+1q. Then

q⁢t≤a⁢r+[θ⁢h]+δr-q⁢mr≤q⁢t+1.

This implies, as δr≥-1,

a⁢r-q⁢mr≤q⁢t+1-[θ⁢h]-δr≤q⁢t+1-[θ⁢h]+1=q⁢t-[θ⁢h]+2

and, as δr<2,

a⁢r-q⁢mr≥q⁢t-[θ⁢h]-δr>q⁢t-[θ⁢h]-2,

so a⁢r-q⁢mr∈Jt, writing

Jt=(q⁢t-[θ⁢h]-2,q⁢t-[θ⁢h]+2].

For 1≤r1,r2≤q, if a⁢r1-q⁢mr1=a⁢r2-q⁢mr2 then a⁢r1≡a⁢r2(modq), and gcd⁡(a,q)=1 implies r1≡r2(modq); and 1≤r1,r2≤q so r1=r2. For t∈[0,1-1q], four integers belong to Jt, hence

{1≤r≤q:a⁢r-q⁢mr∈Jt}

has at most four elements. But

{1≤r≤q:R⁢(α⁢(h⁢q+r))∈[t,t+1q]}⊂{1≤r≤q:a⁢r-q⁢mr∈Jt}.

Now,

{1≤r≤q:∥α⁢(h⁢q+r)∥∈[t,t+1q]}={1≤r≤q:R⁢(α⁢(h⁢q+r))∈[t,t+1q]}∪{1≤r≤q:1-R⁢(α⁢(h⁢q+r))∈[t,t+1q]}={1≤r≤q:R⁢(α⁢(h⁢q+r))∈[t,t+1q]}∪{1≤r≤q:R⁢(α⁢(h⁢q+r))∈[1-1q-t,1-t]},

whence

{1≤r≤q:∥α⁢(h⁢q+r)∥∈[t,t+1q]} ⊂{1≤r≤q:a⁢r-q⁢mr∈Jt}
∪{1≤r≤q:a⁢r-q⁢mr∈J1-1q-t}.

This shows that if t∈[0,1-1q] then

{1≤r≤q:∥α⁢(h⁢q+r)∥∈[t,t+1q]}

has at most eight elements. For 0≤k<q2, writing

Ik=[kq,kq+1q],

the set {1≤r≤q:∥α⁢(h⁢q+r)∥∈Ik} has at most eight elements. Therefore

∑1≤r≤qmin⁡(V,1∥α⁢(h⁢q+r)∥) =∑0≤k<q/2∑1≤r≤q,∥α⁢(h⁢q+r)∥∈Ikmin⁡(V,1∥α⁢(h⁢q+r)∥)
≤8⁢V+∑1≤k<q/2∑1≤r≤q,∥α⁢(h⁢q+r)∥∈Ik1∥α⁢(h⁢q+r)∥
≤8⁢V+∑1≤k<q/28⋅qk
=O⁢(V+q⁢log⁡q).

∎

Lemma 17.

There is some C such that if α∈ℝ, (a,q)∈𝒜,

|α-aq|≤1q2,

U≥1 is a real number, and n is a positive integer, then

∑1≤k≤Umin⁡(nk,1∥α⁢k∥)≤C⁢(nq+U+q)⁢log⁡2⁢q⁢U.
Proof.

For 1≤k≤U there is some 0≤hk<Uq and 1≤rk≤q such that k=q⁢hk+rk, and then

∑1≤k≤Umin⁡(nk,1∥α⁢k∥) ≤∑0≤h<U/q∑1≤r≤qmin⁡(nq⁢h+r,1∥α⁢(h⁢q+r)∥)
≤∑1≤r≤q/21∥α⁢r∥+∑q/2<r≤qmin⁡(nr,1∥α⁢r∥)
+∑1≤h<U/q∑1≤r≤qmin⁡(nq⁢h+r,1∥α⁢(h⁢q+r)∥)
≤C1⁢q⁢log⁡q+∑q/2<r≤qmin⁡(nr,1∥α⁢r∥)
+∑1≤h<U/q∑1≤r≤qmin⁡(nq⁢h+r,1∥α⁢(h⁢q+r)∥),

the last inequality by Lemma 15. If q2<r≤q then 1r<2q=2(h+1)⁢q for h=0, and if 1≤h<Uq and 1≤r≤q then h≥h+12 so h⁢q+r>h⁢q≥(h+1)⁢q2 and hence 1h⁢q+r<2(h+1)⁢q, whence

∑q/2<r≤qmin⁡(nr,1∥α⁢r∥)+∑1≤h<U/q∑1≤r≤qmin⁡(nq⁢h+r,1∥α⁢(h⁢q+r)∥)≤2⁢∑q/2<r≤qmin⁡(n(h+1)⁢q,1∥α⁢r∥)+2⁢∑1≤h<U/q∑1≤r≤qmin⁡(n(h+1)⁢q,1∥α⁢(h⁢q+r)∥).

Consquently

∑1≤k≤Umin⁡(nk,1∥α⁢k∥)≤C1⁢q⁢log⁡q+2⁢∑0≤h<U/q∑1≤r≤qmin⁡(n(h+1)⁢q,1∥α⁢(h⁢q+r)∥).

Lemma 16 with V=n(h+1)⁢q says

∑1≤r≤qmin⁡(n(h+1)⁢q,1∥α⁢(h⁢q+r)∥)≤C2⁢(n(h+1)⁢q+q⁢log⁡q),

therefore

∑1≤k≤Umin⁡(nk,1∥α⁢k∥) ≪q⁢log⁡q+∑0≤h<U/q(n(h+1)⁢q+q⁢log⁡q)
≪q⁢log⁡q+nq⁢∑1≤h<Uq+11h+q⁢(log⁡q)⁢(Uq+1)
≪q⁢log⁡q+nq⁢log⁡(Uq+1)+U⁢log⁡q
≪U⁢log⁡2⁢q⁢U+q⁢log⁡2⁢q⁢U+nq⁢log⁡(Uq+1).

If U≤q then Uq+1≤2≤2⁢q⁢U, and if U>q then Uq+1≤U+1≤2⁢U≤2⁢q⁢U, hence

∑1≤k≤Umin⁡(nk,1∥α⁢k∥)≪U⁢log⁡2⁢q⁢U+q⁢log⁡2⁢q⁢U+nq⁢log⁡2⁢q⁢U.

∎

Lemma 18.

There is some C such that if α∈ℝ, (a,q)∈𝒜,

|α-pq|≤1q2,

and U,V≥1 are real numbers, then

∑1≤k≤Umin⁡(V,1∥α⁢k∥)≤C⁢(q+U+V+U⁢Vq)⁢max⁡{1,log⁡q}.
Proof.

For 1≤k≤U there is some 0≤hk<Uq and 1≤rk≤q such that k=q⁢hk+rk, and then, as in the proof of Lemma 17,

∑1≤k≤Umin⁡(V,1∥α⁢k∥) ≤∑0≤h<U/q∑1≤r≤qmin⁡(V,1∥α⁢(h⁢q+r)∥)
≤C1⁢q⁢log⁡q+2⁢∑0≤h<U/q∑1≤r≤qmin⁡(V,1∥α⁢(h⁢q+r)∥).

Using Lemma 16,

∑1≤k≤Umin⁡(V,1∥α⁢k∥) ≤C1⁢q⁢log⁡q+2⁢C2⁢∑0≤h<U/q(V+q⁢log⁡q)
≪q⁢log⁡q+(V+q⁢log⁡q)⁢(Uq+1)
≪q⁢log⁡q+U⁢Vq+V+U⁢log⁡q.

∎

Weyl’s inequality [107, p. 114, Theorem 4.3] is the following. For k≥2 and ϵ>0, there is some C⁢(k,ϵ) such that if α∈ℝ, f⁢(x) is a real polynomial with highest degree term α⁢xk, (a,q)∈𝒜, and

|α-aq|≤1q2,

then, writing SN⁢(f)=∑j=1Ne2⁢π⁢i⁢f⁢(j) and K=2k-1,

|SN⁢(f)|≤C⁢(k,ϵ)⋅N1+ϵ⁢(N-1+q-1+N-k⁢q)1K.

Weyl’s inequality is proved using Lemma 18.

Montgomery [103, Chapter 3] gives a similar but more streamlined presentation of Weyl’s inequality. Chandrasekharan [29] gives a historical survey of exponential sums.

Vinogradov’s estimate [146, p. 26, Theorem 3.1] states that there is some C such that for n≥2, 1≤q≤n, gcd⁡(a,q)=1, and |α-aq|≤q-2, then

|fn⁢(α)|≤C⁢(n⁢q-1/2+n4/5+n1/2⁢q1/2)⁢(log⁡n)4, (16)

where fn⁢(α)=∑p≤n(log⁡p)⁢e2⁢π⁢i⁢α⁢p; cf. Nathanson [107, p. 220, Theorem 8.5] and Vinogradov [149, p. 131, Chapter IX, Theorem 1]. This is proved using Lemma 17.

Fix B>0 and let Pn=(log⁡n)B. For 1≤a≤q≤Pn and gcd⁡(a,q)=1, let

𝔐n⁢(q,a)={α∈ℝ:|α-aq|≤Pn⁢n-1},

called a major arc. One checks that there is some nB such that if n≥nB, then 𝔐n⁢(q,a) and 𝔐n⁢(q′,a′) are disjoint when (q,a)≠(q′,a′). Let

𝔐n=⋃1≤a≤q≤Pn,gcd⁡(a,q)=1𝔐n⁢(q,a).

The Farey fractions of order N are

𝔉N={hk:0≤h≤k≤N,gcd⁡(h,k)=1}.

Cf. the Stern-Brocot tree [55, §4.5]. For early appearances of Farey fractions, see Dickson [35, pp. 155–158, Chapter V]. It is proved by Cauchy that if h/k and h′/k′ are successive elements of 𝔉N, then k⁢h′-h⁢k′=1 [59, p. 23, Theorem 28]. Let

ϕ⁢(m)=|{1≤k≤m:gcd⁡(k,m)=1}|,

the Euler phi function, and write Φ⁢(N)=∑1≤m≤Nϕ⁢(m). One sees that |𝔉N|=1+Φ⁢(N), and it was proved by Mertens [59, p. 268] that

Φ⁢(N)=3⁢N2π2+O⁢(N⁢log⁡N).

Let λ be Lebesgue measure on ℝ. For n≥nB, because the major arcs are pairwise disjoint,

λ⁢(𝔐n) =∑1≤a≤q≤Pn,gcd⁡(a,q)=12⁢Pn⁢n-1
=(∑m=1Pnϕ⁢(m))⁢2⁢Pn⁢n-1
=6π2⁢Pn3⁢n-1+O⁢(Pn2⁢n-1⁢log⁡Pn).

Let In=(Pn⁢n-1,1+Pn⁢n-1], which for n>2⁢Pn2 contains 𝔐n. Let

𝔪n=In∖𝔐n,

called the minor arcs.

With fn⁢(α)=∑p≤n(log⁡p)⁢e2⁢π⁢i⁢α⁢p and

R⁢(n)=∑p1+p2+p3=n(log⁡p1)⁢(log⁡p2)⁢(log⁡p3),

we have

R⁢(n)=∫Infn⁢(α)3⁢e-2⁢π⁢i⁢n⁢α⁢𝑑α=∫𝔐nfn⁢(α)3⁢e-2⁢π⁢i⁢n⁢α⁢𝑑α+∫𝔪nfn⁢(α)3⁢e-2⁢π⁢i⁢n⁢α⁢𝑑α.

Using (16), it can be proved that for A>0 with B≥2⁢A+10 [146, p. 29, Theorem 3.2],

∫𝔪n|fn⁢(α)|3⁢𝑑α=O⁢(n2⁢(log⁡n)-A).

Writing

𝔖⁢(n)=(∏p∤n(1+(p-1)-3))⁢∏p∣n(1-(p-1)-2),

called the singular series, it is proved, using the Siegel-Walfisz theorem on primes in arithmetic progressions [102, p. 381, Corollary 11.19], that for A>0 with B≥2⁢A [146, p. 31, Theorem 3.3],

∫𝔐nfn⁢(α)3⁢e-2⁢π⁢i⁢n⁢α⁢𝑑α=12⁢n2⁢𝔖⁢(n)+O⁢(n2⁢(log⁡n)-A).

Thus

R⁢(n)=12⁢n2⁢𝔖⁢(n)+O⁢(n2⁢(log⁡n)-A),

and it follows from this that there is some n0 such that if n≥n0 is odd then there are primes p1,p2,p3 such that n=p1+p2+p3.

For integers a,b with gcd⁡(a,b)=1, the Ford circle C⁢(a,b) is the circle in ℂ that touches the line Im⁢z=0 at z=ab and has radius 12⁢b2; in other words, C⁢(a,b) is the circle in ℂ with center ab+i2⁢b2 and radius 12⁢b2. It is straightforward to prove that if C⁢(a,b) and C⁢(c,d) are Ford circles, then they are tangent if and only if (b⁢c-a⁢d)2=1, and otherwise they are disjoint [4, p. 100, Theorem 5.6]. It is also straightforward to prove [4, p. 101, Theorem 5.7] that if h1k1<hk<h2k2 are successive elements of 𝔉N, then C⁢(h1,k1) and C⁢(h,k) touch at

hk-k1k⁢(k2+k12)+ik2+k12

and C⁢(h,k) and C⁢(h2,k2) touch at

hk+k2k⁢(k2+k22)+ik2+k22.

Bonahon [21, pp. 207 ff., Chapter 8] explains Ford circles in the language of hyperbolic geometry.

We remind ourselves that |𝔉N|=1+Φ⁢(N)=1+∑m=1Nϕ⁢(m) and let ρ0,N<⋯<ρΦ⁢(N),N be the elements of 𝔉N. In particular, ρ0,N=0 and ρΦ⁢(N),N=1. For ρn,N=hn,Nkn,N with gcd⁡(hh,N,kn,N)=1, write Cn,N=C⁢(hn,N,kn,N).

Let A0,N be the clockwise arc of C0,N from i to the point at which C0,N and C1,N touch. For 0<n<Φ⁢(N), let An,N be the clockwise arc of Cn,N from the point at which Cn-1,N and Cn,N touch to the point at which Cn,N and Cn+1,N touch. Finally, let AΦ⁢(N),N be the clockwise arc of CΦ⁢(N),N from the point at which CΦ⁢(N)-1,N and CΦ⁢(N),N touch to i+1. Let AN be the composition of the arcs

A0,N,…,AΦ⁢(N),N, (17)

which is a contour from i to i+1.

Write H={τ∈ℂ:Im⁢τ>0}. The Dedekind eta function η:H→ℂ is defined by

η⁢(τ)=eπ⁢i⁢τ/12⁢∏m=1∞(1-e2⁢π⁢i⁢m⁢τ).

It is straightforward to check that η is analytic and that η⁢(τ)≠0 for all τ∈H [143, pp. 17–18, §1.44]. For (h,k)∈𝒜, let

s⁢(h,k)=∑r=1k-1rk⁢(h⁢rk-[h⁢rk]-12)=∑r=1k-1rk⁢P1⁢(h⁢r/k),

called a Dedekind sum; P1 is the periodic Bernoulli function. Also, for (abcd)∈S⁢L2⁢(ℤ) write

ϵ⁢(a,b,c,d)=exp⁡(π⁢i⁢(a+d12⁢c+s⁢(-d,c))).

The functional equation for the Dedekind eta function [4, p. 52, Theorem 3.4] is

η⁢(a⁢τ+bc⁢τ+d)=ϵ⁢(a,b,c,d)⁢(-i⁢(c⁢τ+d))1/2⁢η⁢(τ),(abcd)∈S⁢L2⁢(ℤ),τ∈H.

Let p⁢(n) be the number of ways of writing n as a sum of positive integers where the order does not matter, called the partition function. For example, 4,3+1,2+2,2+1+1,1+1+1+1 are the partitions of 4, so p⁢(4)=5. Denoting by D⁢(0,1) the open disc with center 0 and radius 1, define F:D⁢(0,1)→ℂ by

F⁢(z)=∏m=1∞(1-zm)-1=∑n=0∞p⁢(n)⁢zn;

that the product and the series are equal was found by Euler. F is analytic. On the one hand, p⁢(n)=F(n)⁢(0)n!, and on the other hand, by Cauchy’s integral formula [143, p. 82, Theorem 2.41], if C is a circle with center 0 and radius 0<R<1 then

F(n)⁢(0)=n!2⁢π⁢i⁢∫CF⁢(z)zn+1⁢𝑑z.

Taking C to be the circle with center 0 and radius e-2⁢π and doing the change of variable z=e2⁢π⁢i⁢τ,

p⁢(n) =12⁢π⁢i⁢∫ii+1F⁢(e2⁢π⁢i⁢τ)e2⁢π⁢i⁢(n+1)⁢τ⋅2⁢π⁢i⁢e2⁢π⁢i⁢τ⁢𝑑τ
=∫ii+1F⁢(e2⁢π⁢i⁢τ)⁢e-2⁢π⁢i⁢n⁢τ⁢𝑑τ
=∫ANF⁢(e2⁢π⁢i⁢τ)⁢e-2⁢π⁢i⁢n⁢τ⁢𝑑τ,

where we remind ourselves that AN is the contour (17) from i to i+1. Using this and the functional equation for the Dedekind eta function, Rademacher [4, p. 104, Theorem 5.10] proves that for n≥1,

p⁢(n)=1π⁢2⁢∑k=1∞Ak⁢(n)⁢k1/2⁢dd⁢n⁢sinh⁡(π⁢23⋅1k⁢n-124)n-124,

for Ak⁢(n)=∑0≤h<k,gcd⁡(h,k)=1eπ⁢i⁢s⁢(h,k)-2⁢π⁢i⁢n⁢h/k.

We make a final remark about the Farey fractions. Writing the elements of 𝔉N as ρ0,N<⋯<ρΦ⁢(N),N, let ηn,N=ρn,N-nΦ⁢(N) for 1≤n≤N. For example, Φ⁢(5)=10 and

{ρ1,5,…,ρ10,5}={15,14,13,25,12,35,23,34,45,1},

and

{η1,5,…,η10,5}={110,120,130,0,0,0,-130,-120,-110,0}.

Landau [91], following work of Franel, proves that the Riemann hypothesis is true if and only if for every ϵ>0,

∑n=1Φ⁢(N)|ηn,N|=O⁢(N12+ϵ).

For example, for N=5, the left-hand side is 1130. See Narkiewicz [106, p. 40, §2.2.3].

8 Discrepancy and exponential sums

Discrepancy and Diophantine approximation are covered by Kuipers and Niederreiter [85, Chapters 1–2 ] and by Drmota and Tichy [41, §§1.1–1.4], especially [41, pp. 48–66, §1.4.1].

Let ω=(xn), n≥1, be a sequence of real numbers, and let E⊂[0,1). For a positive integer N, let A⁢(E;N;ω) be the number of xn, 1≤n≤N, such that R⁢(xn)∈E. We say that the sequence ω is uniformly distributed modulo 1 if we have for all a and b with 0≤a<b≤1 that

limN→∞⁡A⁢([a,b);N;ω)N=b-a.

It can be shown [85, p. 3, Corollary 1.1] that a sequence xn is uniformly distributed modulo 1 if and only if for every Riemann integrable function f:[0,1]→ℝ we have

limN→∞⁡1N⁢∑n=1Nf⁢(R⁢(xn))=∫01f⁢(t)⁢𝑑t. (18)

Thus, if a sequence is uniformly distributed then the integral of any Riemann integrable function on [0,1] can be approximated by sampling according to this sequence. This approximation can be quantified using the notion of discrepancy.

It can be proved [85, p. 7, Theorem 2.1] that a sequence xn is uniformly distributed modulo 1 if and only if for all nonzero integers h we have

limN→∞⁡1N⁢∑n=1Ne2⁢π⁢i⁢h⁢xn=0;

this is called Weyl’s criterion. But if x∈Ω, then

|∑n=1Ne2⁢π⁢i⁢h⁢n⁢x|=|1-e2⁢π⁢i⁢h⁢N⁢x1-e2⁢π⁢i⁢h⁢x|≤2|1-e2⁢π⁢i⁢h⁢x|=1|sin⁡π⁢h⁢x|. (19)

We thus obtain the following theorem.

Theorem 19.

If x∈Ω then the sequence n⁢x is uniformly distributed modulo 1.

The discrepancy of a sequence ω is defined, for N a positive integer, by

DN⁢(ω)=sup0≤a<b≤1⁡|A⁢([a,b);N;ω)N-(b-a)|

One proves that the sequence ω is uniformly distributed modulo 1 if and only if DN⁢(ω)→0 as N→∞ [85, p. 89, Theorem 1.1].

For f:[0,1]→ℝ, let V⁢(f) denote the total variation of f. Koksma’s inequality [85, p. 143, Theorem 5.1] states that for any sequence ω=(xn), for any f:[0,1]→ℝ of bounded variation, and for any positive integer N, we have

|1N⁢∑n=1Nf⁢(R⁢(xn))-∫01f⁢(t)⁢𝑑t|≤V⁢(f)⁢DN⁢(ω). (20)

Following Kuipers and Niederreiter [85, p. 122, Lemma 3.2], we can bound the discrepancy of the sequence n⁢x in terms of the sum on the left-hand side of Theorem 14

Lemma 20.

There is some C>0 such that for all x∈Ω, ω=(n⁢x), and for all positive integers m we have

DN⁢(ω)<C⁢(1m+1N⁢∑j=1m1j⁢∥j⁢x∥).
Proof.

We shall use the following inequality, which lets us bound the discrepancy of a sequence in terms of exponential sums formed from the elements of the sequence. The Erdős-Turán theorem [85, p. 114, Eq. 2.42] states that there is some constant C>0 such that for any sequence ω=(xn) of real numbers, any positive integer N, and any positive integer m we have

DN⁢(ω)≤C⁢(1m+∑j=1m1j⁢|1N⁢∑n=1Ne2⁢π⁢i⁢j⁢xn|). (21)

Take xn=n⁢x. For each j≥1, by (19) we have

|∑n=1Ne2⁢π⁢i⁢j⁢n⁢x|≤1|sin⁡π⁢j⁢x|=1sin⁡(π⁢∥j⁢x∥).

But sin⁡t≥2π⁢t for 0≤t≤π2, so

1sin⁡(π⁢∥j⁢x∥)≤12⁢∥j⁢x∥<1∥j⁢x∥.

Using this in (21) gives us

DN⁢(ω)<C⁢(1m+∑j=1m1j⋅1N⋅1∥j⁢x∥)=C⁢(1m+1N⁢∑j=1m1j⁢∥j⁢x∥),

which is the claim. ∎

It follows from Theorem 14 and Lemma 20 (taking m=N) that if x is of type <K⁢(log⁡h)1+ϵ then

DN⁢(ω)=O⁢((log⁡N)2+ϵN). (22)

Lemma 8 tells us that for almost all x∈Ω there is some K>0 such that x is of type <K⁢(log⁡h)1+ϵ, so for almost all x∈Ω, the bound (22) is true. It likewise follows that if x has bounded partial quotients then

DN⁢(ω)=O⁢((log⁡N)2N). (23)

In fact, it can be proved that if x∈ℬK then, for g=1+52 [85, p. 125, Theorem 3.4],

DN⁢(ω)≤3⁢N-1+(1log⁡g+Klog⁡(K+1))⁢N-1⁢log⁡N.

We use the above bounds in the proof of the following theorem.

Theorem 21.

Let ϵ>0. For almost all x we have

∑n=1N∥n⁢x∥=N4+O⁢((log⁡N)2+ϵ),

while if x has bounded partial quotients then

∑n=1N∥n⁢x∥=N4+O⁢((log⁡N)2).
Proof.

Let f⁢(t)=∥t∥. Then V⁢(f)=1 and ∫01f⁢(t)⁢𝑑t=14, so we get from Koksma’s inequality (20) that

|1N⁢∑n=1N∥⁢n⁢x⁢∥-14|≤DN⁢(ω),

thus

∑n=1N∥n⁢x∥=N4+O⁢(N⁢DN⁢(ω)).

The claims then follow respectively from (22) and (23). ∎

Like we mentioned at the beginning of §6, because |sin⁡(π⁢x)|=sin⁡(π⁢∥x∥)≤π⁢∥x∥ and |sin⁡(π⁢x)|=sin⁡(π⁢∥x∥)≥2π⋅π⁢∥x∥=2⁢∥x∥, we have

2⁢∑n=1N∥n⁢x∥≤∑n=1N|sin⁡(π⁢n⁢x)|≤π⁢∑n=1N∥n⁢x∥.

Thus Theorem 21 also gives estimates for ∑n=1N|sin⁡(π⁢n⁢x)|.

We can investigate the sum ∑n=1NR⁢(n⁢x) rather than ∑n=1N∥n⁢x∥; see Lang [92, p. 37, Theorem 1], who proves that for almost all x∈Ω,

∑n=1NR⁢(n⁢x)=N2+O⁢((log⁡N)2+ϵ).

For x∈Ω, let qn=qn⁢(x), the denominator of the nth convergent of the continued fraction expansion of x, and let an=an⁢(x), the nth partial quotient of the continued fraction expansion of x. For m≥1, one can prove [18, p. 211, Proposition 1] that m can be written in one and only one way in the form

m=∑k=1∞zk⁢qk-1=∑k=1tzk⁢qk-1, (24)

where (i) 0≤z1≤a1-1, (ii) 0≤zk≤ak for k≥2, (iii) for k≥1, if zk+1=ak+1 then zk=0, and (iv) zt≠0 and zk=0 for k>t. The expression (24) is called the Ostrowski expansion of m. We emphasize that this expansion depends on x. Berthé [18] surveys applications of this numeration system in combinatorics. For n≥0, define d2⁢n=q2⁢n⁢x-p2⁢n and d2⁢n+1=p2⁢n+1-q2⁢n+1⁢x. Brown and Shiue [24, p. 184, Theorem 1] prove that for x∈Ω,

∑k=1m(R⁢(k⁢x)-12)=∑k=1t(-1)k⁢zk⁢(12-dk-1⁢(mk-1+12⁢zk⁢qk-1+12)), (25)

where m0=0 and if k≥1 then mk=∑j=1kzj⁢qj-1. If k≥0, then by (11) we have 0<dk<1qk+1. For k≥1, using the fact that qk≥mk+1 (for the same reason that if the highest power of 2 appearing in a number’s binary expansion is 2k-1, then the number is ≤2k-1),

mk-1+12⁢zk⁢qk-1+12 = mk-12⁢zk⁢qk-1+12
≤ qk-1-12⁢zk⁢qk-1+12
= qk-12-12⁢zk⁢qk-1
< qk.

Using (25), this inequality, and the inequality 0<dk<1qk+1, we obtain

|∑k=1m(R⁢(k⁢x)-12)| ≤ ∑k=1tzk⁢|12-dk-1⁢(mk-1+12⁢zk⁢qk-1+12)|
< 12⁢∑k=1tzk
< 12⁢∑k=1tak.

If the continued fraction expansion of x has bounded partial quotients, say ak≤K for all k, we obtain from the above that

|∑k=1m(R⁢(k⁢x)-12)|<K⁢t2.

It can be proved [24, p. 185, Fact 2] that t<3⁢log⁡m. Thus, if ak≤K for all k, then for m≥1,

|∑k=1m(R⁢(k⁢x)-12)|<3⁢K⁢log⁡m2.

This is Lerch’s claim stated in §3. For example, if x=-1+52∈Ω then ak⁢(x)=1 for all k≥1. We compute that

∑k=11000000(R⁢(k⁢x)-12)=0.941799⁢…;

on the other hand, we compute that

∑k=11000000(R⁢(k⁢π)-12)=19.223414⁢….

Brown and Shiue [24, p. 185, Fact 1] use (25) to obtain the result of Sierpinski stated in §3 that for all x∈Ω,

∑k=1mR⁢(k⁢x)=m2+o⁢(m).

They also prove [24, p. 188, Theorem 4] that for A>0, there exists some dA>0 such that for x∈Ω, if there are infinitely many t such that ∑k=1tak≤A⁢t (which happens in particular if x has bounded partial quotients), then there are infinitely many m such that

∑k=1m(R⁢(k⁢x)-12)>dA⁢log⁡m,

and there are infinitely many m such that

∑k=1m(R⁢(k⁢x)-12)<-dA⁢log⁡m.

It can be shown [92, p. 44, Theorem 4] that if k is a positive integer and ϵ>0, then for almost all x we have

|∑n=1Ne2⁢π⁢i⁢nk⁢x|=O⁢(N12+ϵ).

Lang attributes this result to Vinogradov. But it is not so easy to obtain a bound on this exponential sum for specific x. For k=2, one can prove [92, p. 45, Lemma] that for any x∈Ω,

|∑n=1Ne2⁢π⁢i⁢n2⁢x|2≤N+4⁢∑n=1N1|sin⁡4⁢π⁢n⁢x|<N+4⁢∑n=14⁢N1|sin⁡π⁢n⁢x|;

cf. Steele [142, Problem 14.2]. By (14) this gives us

|∑n=1Ne2⁢π⁢i⁢n2⁢x|2<N+2⁢∑n=14⁢N1∥j⁢x∥.

If x has bounded partial quotients, it follows from Theorem 11 that

|∑n=1Ne2⁢π⁢i⁢n2⁢x|=O⁢(N1/2⁢(log⁡N)1/2).

Hardy and Littlewood [57, p. 28, Theorem B5] prove that if x∈Ω is an algebraic number, then there is some 0<α⁢(x)<1 such that ∑n=1NR⁢(n⁢x)=N2+O⁢(Nα⁢(x)). Pillai [115] gives a different proof of this.

Theorem 22 (Hardy and Littlewood, Pillai).

For τ>2, if x∈𝒟⁢(τ) then for α=τ-2τ-1,

∑n=1NR⁢(n⁢x)=N2+O⁢(Nα).

Pillai [114] proves other identities and inequalities for ∑n=1NR⁢(n⁢x), some for all x∈Ω and some for all algebraic x∈Ω.

For ω=(xn), n≥1 and for E⊂[0,1), we remind ourselves that A⁢(E;M;ω) denotes the number of xn, 1≤n≤M, such that R⁢(xn)∈E. Define for M≥1,

DM*⁢(ω)=sup0<β≤1⁡|A⁢([0,β);M;ω)M-β|.

It is straightforward to prove that DM*≤DM≤2⁢DM* [85, p. 91, Theorem 1.3]. For N≥1 write r=log⁡N. Let ϵ0>0 and let N1/2≤τ≤N⁢exp⁡(-rϵ0). Suppose that α∈ℝ and

α=aq+θq⁢τ,gcd⁡(a,q)=1,exp⁡(rϵ0)≤q≤τ,|θ|≤1.

For 0<β<1 denote by Hβ⁢(N) the number of primes p≤N such that R⁢(α⁢p)≤β. Vinogradov [149, p. 177, Chapter XI, Theorem] proves that for ϵ>0,

Hβ⁢(N)=β⁢π⁢(N)+O⁢(N⁢(q-1+q⁢N-1)12-ϵ+N45+ϵ),N→∞.

Let ω=(pn⁢α), n≥1, where pn is the nth prime. Using Vinogradov’s estimate, one proves that for α∈ℝ∖ℚ, DN*⁢(ω)→0 as N→∞, which implies that the sequence (pn⁢α) is uniformly distributed modulo 1. A clean proof of this is given by Pollicott [116, p. 200, Theorem 1], and this is also proved by Vaaler [145] using a Tauberian theorem. See also the early survey by Hua [68, pp. 98–99, §38].

Defining Sα⁢(n)=∑k=1n(R⁢(k⁢α)-12), Beck [11, p. 14, Theorem 3.1] proves that there is some c>0 such that for every λ∈ℝ,

1N⁢|{1≤n≤N:S2⁢(n)c⁢log⁡n≤λ}|→12⁢π⁢∫-∞λexp⁡(-u22)⁢𝑑u

as N→∞. Beck [12, p. 20, Theorem 1.2] further proves that if α is a quadratic irrational, there are C1=C1⁢(α)∈ℝ and C2=C2⁢(α)∈ℝ>0 such that for A,B∈ℝ, A<B,

1N⁢|{0≤n<N:A≤Sα⁢(n)-C3⁢log⁡NC4⁢log⁡N≤B}|=(2⁢π)-1/2⁢∫ABe-u2/2⁢𝑑u+O⁢((log⁡N)-1/10⁢log⁡log⁡N).

Beck and Chen [10]

9 Dirichlet series

The result of de la Vallée-Poussin [34] stated in §3 implies that there is no s such that for all irrational x the Dirichlet series ∑n=1∞n-s|sin⁡n⁢π⁢x| converges. It follows from this fact that there is no s such that for all irrational x the Dirichlet series ∑n=1∞n-s∥n⁢x∥ converges.

Lerch [97] in 1904 gives some statements without proof about the series

∑ν=1∞cot⁡ν⁢ω⁢π(2⁢ν⁢π)2⁢m+1.

He states that if ω is a real algebraic number that does not belong to ℚ, then for sufficiently large m this series converges, and states, for example, that with ω=1+52,

5⁢∑ν=1∞cot⁡ν⁢ω⁢π(2⁢ν⁢π)7=-810!.

Writing cr⁢(θ)=∑n=1∞cot⁡(π⁢n⁢θ)n2⁢r-1, Berndt [17, p. 135, Theorem 5.1] proves that if θ is a real algebraic number of degree d and 1<d<2⁢r-1 (to say that d>1 is to say that θ is irrational), then cr⁢(θ) converges.

For a Dirichlet series ∑n=1∞an⁢n-s, one can show [143, pp. 289–290, §9.11] that if the series is convergent at s=σ0+i⁢t0, then for σ>σ0 and any t the series is convergent at s=σ+i⁢t. It follows that there is some σ0∈[-∞,∞] such if σ<σ0 then the series diverges at s=σ+i⁢t, and if σ>σ0 then the series converges at s=σ+i⁢t. We call σ0 the abscissa of convergence of the Dirichlet series. If each an is a nonnegative real number, then the function

F⁢(s)=∑n=1∞an⁢n-s,Re⁢s>σ0,

cannot be analytically continued to any domain that includes s=σ0 [67, p. 101, Proposition 18].

Let an be a sequence of complex numbers. It can be shown [143, pp. 292–293, §9.14] that if sn=a1+…+an and the sequence sn diverges, then the abscissa of convergence of the Dirichlet series ∑n=1∞an⁢n-s is given by

σ0=lim supn→∞⁡log⁡|sn|log⁡n.

By Theorem 11 and Theorem 13 (taking, say, ϵ=1), for almost all x∈Ω there are C1,C2 such that for all positive integers n we have

C1⁢n⁢log⁡n<∑j=1n1∥j⁢x∥<C2⁢n⁢(log⁡n)2.

Thus, if an=1∥n⁢x∥, then

log⁡C1log⁡n+1+log⁡log⁡nlog⁡n<log⁡snlog⁡n<log⁡C2log⁡n+1+2⁢log⁡log⁡nlog⁡n,

and hence

limn→∞⁡log⁡snlog⁡n=1.

It follows that for almost all x∈Ω the abscissa of convergence of the Dirichlet series ∑n=1∞1∥n⁢x∥⁢n-s is σ0=1.

Likewise, by Theorem 21 (taking ϵ=1), we get for almost all x∈Ω that ∑j=1n∥j⁢x∥=n4+O⁢((log⁡n)3). We can then check that limn→∞⁡log⁡snlog⁡n=1, and hence that the abscissa of convergence of the Dirichlet series ∑n=1∞∥n⁢x∥⁢n-s is σ0=1.

A 1953 result of Mahler [48, pp. 107–108] implies that if α∈ℝ is an algebraic number of degree d, then, for m=[20⋅25⁢(d-1)2], the Dirichlet series

∑n=1∞n-ssin⁡n⁢α

has abscissa of convergence σ0≤d⁢(m+1)⁢log⁡(m+1), and the power series

∑n=1∞znsin⁡n⁢α

has radius of convergence 1.

Rivoal [126] presents later work on similar Dirichlet series. See also Queffélec and Queffélec [120]. Lalín, Rodrigue and Rogers [88] prove results about Dirichlet series of the form ∑n=1∞n-scos⁡(n⁢π⁢z). Duke and Imamoḡlu [42] review Hardy and Littlewood’s work on estimating lattice points in triangles, and prove results about lattice points in cones.

For θ∈Ω, write

Rr,θ⁢(ζ,m)=∑n=0m1r!⁢Pr⁢(ζ+n⁢θ),

where Pr is a periodic Bernoulli function. Spencer [141] proves that for any ϵ>0 and almost all θ∈Ω,

R1,θ⁢(ζ,m)=O⁢((log⁡m)1+ϵ).

Another result Spencer proves in this paper is that if qn⁢(θ)=O⁢(qn-1h), then Rr,θ⁢(ζ,m)=O⁢(m1-rh) for 1≤r<h. Schoißengeier [132] gives an explicit formula for ∑k=0N-1P2⁢(k⁢α).

10 Power series

For a power series ∑an⁢zn with radius of convergence 0≤R≤∞, the Cauchy-Hadamard formula [124, p. 111, Chapter 4, §1] states

R=1lim supn→∞⁡|an|1/n=lim infn→∞⁡|an|-1/n. (26)

The radius of convergence R is equal to the supremum of those t≥0 for which |an|⁢tn is a bounded sequence.

Lemma 23.

If x∈Ω, then the power series

∑n=1∞zn∥n⁢x∥

and

∑n=1∞zn|sin⁡π⁢n⁢x|,

have the same radius of convergence.

Proof.

The radii of convergence of these power series are respectively

lim infn→∞⁡∥n⁢x∥1/n and lim infn→∞⁡|sin⁡(π⁢n⁢x)|1/n.

On the one hand,

|sin⁡(π⁢n⁢x)|=sin⁡(π⁢∥n⁢x∥)≤π⁢∥n⁢x∥

Therefore, since limn→∞⁡π1/n=1,

lim infn→∞⁡|sin⁡(π⁢n⁢x)|1/n≤lim infn→∞⁡(π⁢∥n⁢x∥)1/n=lim infn→∞⁡∥n⁢x∥1/n

On the other hand, since sin⁡t≥2π⁢t for t≥0,

|sin⁡(π⁢n⁢x)|=sin⁡(π⁢∥n⁢x∥)≥2π⁢π⁢∥n⁢x∥=2⁢∥n⁢x∥.

Therefore, using limn→∞⁡21/n=1, we have

lim infn→∞⁡|sin⁡(π⁢n⁢x)|1/n≥lim infn→∞⁡(2⁢∥n⁢x∥)1/n=lim infn→∞⁡∥n⁢x∥1/n,

showing that the two power series have the same radius of convergence. ∎

We show in the following theorem that for almost all x, the power series ∑n=1∞zn∥n⁢x∥ has radius of convergence 1.

Theorem 24.

For almost all x∈Ω, the power series

∑n=1∞zn∥n⁢x∥ (27)

has radius of convergence 1.

Proof.

For x∈Ω, let Rx be the radius of convergence of the power series (27). We have 0<∥n⁢x∥<12, so 1∥n⁢x∥>2. Therefore ∑n=1N1∥n⁢x∥→∞ as N→∞, and so the power series (27) diverges at z=1. Therefore Rx≤1 for all x∈Ω.

We shall use Lemma 7 to get a lower bound on Rx that holds for almost all x∈Ω. Let A={x∈Ω:Rx<1}, let Am={x∈Ω:Rx<1-1m}, and let Bm be those x∈Ω such that ∥n⁢x∥1/n<1-1m infinitely often. If x∈Am, then Rx=lim infn→∞⁡∥n⁢x∥1/n<1-1m, and this implies that there are infinitely many n such that ∥n⁢x∥1/n<1-1m, so x∈Bm, i.e. Am⊂Bm. But let fm⁢(n)=(1-1m)n. Then ∑n=1∞fm⁢(n) converges, since 1-1m<1, so, by Lemma 7, for almost all x∈Ω there are only finitely many n such that ∥n⁢x∥<fm⁢(n). Thus μ⁢(Bm)=0. Hence μ⁢(Am)=0, and since A=⋃m=2∞Am we get that

μ⁢(A)≤∑m=2∞μ⁢(Am)=0,

that is, Rx≥1 for almost all x∈Ω. In conclusion, Rx=1 for almost all x∈Ω. ∎

In fact, we can prove the above theorem using the bounds we obtained in Theorem 11. By Theorem 11, for almost all x∈Ω we have that ∑j=1m1∥j⁢x∥=O⁢(m2). (Here we will merely need the fact that the sum is subexponential in m.) For such an x, take 0<r<1. Let an=rn, let sn=∑j=1n1∥j⁢x∥, let b1=0, and let bn=sn-1 for n≥2. Using summation by parts, namely

∑n=1Nan⁢(bn+1-bn)=aN+1⁢bN+1-a1⁢b1-∑n=1Nbn+1⁢(an+1-an),

we get

∑n=1Nrn∥n⁢x∥=rN+1⁢sN+∑n=1Nsn⁢rn⁢(1-r).

Therefore

∑n=1Nrn∥n⁢x∥=O⁢(rN+1⁢N2)+O⁢(∑n=1Nn2⁢rn)=O⁢(1).

Since ∑n=1Nrn∥n⁢x∥ is increasing in N (being a sum of positive terms), we obtain that the series ∑n=1∞rn∥n⁢x∥ converges. Since this is true for all r with 0<r<1, it follows that Rx≥1.

For x∈Ω let Rx be the radius of convergence of the power series ∑q=1∞zq∥q⁢x∥. We proved in Theorem 27 that for almost all x∈Ω, Rx=1.

Theorem 25.

For x∈Ω, let Rx be the radius of convergence of the power series ∑q=1∞zq∥q⁢x∥, and let an=an⁢(x) and qn=qn⁢(x). Then

Rx=lim infn→∞⁡an+1-1/qn.

For any 0≤R≤1 there is some x∈Ω such that Rx=R.

Proof.

From the Cauchy-Hadamard formula (26),

Rx=lim infq→∞⁡∥q⁢x∥1/q.

Then Rx≤lim infn→∞⁡∥qn⁢x∥1/qn. On the one hand, by (11), ∥qn⁢x∥<qn+1-1, and qn+1=an+1⁢qn+qn-1>an+1⁢qn hence ∥qn⁢x∥<an+1-1⁢qn-1, and using that limn→∞⁡qn-1/qn=1,

Rx≤lim infn→∞⁡an+1-1/qn⁢qn-1/qn=lim infn→∞⁡an+1-1/qn.

On the other hand, let q≥2 and take qn≤q<qn+1. Applying (12),

∥qn⁢x∥>1qn+1+qn>12⁢qn+1=12⁢(an+1⁢qn+qn-1)>14⁢an+1⁢qn.

Then applying Theorem 2, and using that 0<∥qn⁢x∥<1 and q≥qn,

∥q⁢x∥1/q≥∥qn⁢x∥1/q≥∥qn⁢x∥1/qn>(14⁢an+1⁢qn)1/qn.

As (4⁢qn)-1/qn→1 as n→∞, this implies

Rx=lim infq→∞⁡∥q⁢x∥1/q≥lim infn→∞⁡an+1-1/qn.

For 0<R<1, let R=e-r for r>0. Define a∈ℕℕ as follows. Define a1=1. Suppose for n≥1 that we have defined a1,…,an and thus p1,…,pn and q1,…,qn. Define an+1=[er⁢qn]. Then an+11/qn≤er, so an+1-1/qn≥e-r. Therefore for x=v⁢(a), Rx≥e-r. Now, er⁢qn>1 so an+1=[er⁢qn]≥2-1⁢er⁢qn. Then an+11/qn≥2-1/qn⁢er, hence

Rx=lim infn→∞⁡an+1-1/qn≤lim infn→∞⁡21/qn⁢e-r=e-r.

We have therefore established that when x=v⁢(a), Rx=e-r.

For R=0, define a∈ℕℕ by a1=1 and an+1=[en⁢qn], which satisfies an+1≥2-1⁢en⁢qn. For x=v⁢(a),

Rx=lim infn→∞⁡an+1-1/qn≤lim infn→∞⁡21/qn⁢e-n=0.

For R=1, define a∈ℕℕ by an=1 for all n≥1. Namely, v⁢(a)=-1+52∈Ω. For x=v⁢(a) it is immediate that Rx≥1. ∎

Since R⁢(n⁢x)<1, of course the power series ∑n=1∞R⁢(n⁢x)⁢zn has radius of convergence ≥1. The following result, for which Pólya and Szegő [117, p. 280, Part II, No. 168] cite Hecke, shows in particular that the radius of convergence of this power series is ≤1 for x∈Ω and is thus equal to 1.

Theorem 26.

For x∈Ω, let

f⁢(z)=∑n=1∞R⁢(n⁢x)⁢zn,|z|<1.

We have

limr→1-⁡(1-r)⁢f⁢(r⁢e2⁢π⁢i⁢x)=12⁢π⁢i.
Proof.

Since x∈Ω, the sequence n⁢x is uniformly distributed modulo 1. Therefore, with f⁢(t)=t⁢e2⁢π⁢i⁢t we have by (18) that

limN→∞⁡1N⁢∑n=1NR⁢(n⁢x)⁢e2⁢π⁢i⁢n⁢x=limN→∞⁡1N⁢∑n=1Nf⁢(R⁢(n⁢x))=∫01t⁢e2⁢π⁢i⁢t⁢𝑑t=12⁢π⁢i.

We will use the following result [117, p. 21, Part I, No. 88]. If a sequence of complex numbers an satisfies limN→∞⁡1N⁢∑n=1Nan=s, then

limt→1-⁡(1-t)⁢∑n=1∞an⁢tn=s.

Let an=R⁢(n⁢x)⁢e2⁢π⁢i⁢n⁢x, and we thus have

limt→1-⁡(1-t)⁢∑n=1∞R⁢(n⁢x)⁢e2⁢π⁢i⁢n⁢x⁢tn=12⁢π⁢i.

∎

It follows from the above theorem that if x∈Ω then |z|=1 is a natural boundary of the function f defined on the open unit disc by f⁢(z)=∑n=1∞R⁢(n⁢x)⁢zn; cf. Segal [133, p. 255, Chapter 6], who writes about this power series, and who gives a thorough introduction to natural boundaries in the same chapter. Breur and Simon [22] prove a generalization of this result.

Hata [62, p. 173, Problem 12.6] mentions the appearance of the function f from the above theorem in the study of the Caianiello neuron equations.

11 Product

We will use the following lemma proved by Hardy and Littlewood [58, p. 89], whose brief proof we expand.

Lemma 27.

Let ψ:(0,∞)→ℝ be positive and nondecreasing. If

∑k=1∞1k⁢ψ⁢(k)<∞,

then for almost all x∈Ω, there exists some H such that for all n≥1 and for all real h≥H, there are at most max⁡{n⁢ψ⁢(h)h,1} integers m∈{1,…,n} that satisfy ∥m⁢x∥<1h.

Proof.

By Lemma 7, for almost all x∈Ω there is some K such that if k≥K then

∥k⁢x∥≥2k⁢ψ⁢(k). (28)

Let H be large enough so that

mink<K⁡∥k⁢x∥≥2H;

also let ψ⁢(H)≥1. Now suppose by contradiction that there is some n≥1 and some h≥H such that there are more than max⁡{n⁢ψ⁢(h)h,1} integers m∈{1,…,n} that satisfy ∥m⁢x∥<1h. Then there are some 1≤m1<m2≤n satisfying ∥m1⁢x∥<1h and ∥m2⁢x∥<1h and such that

μ=m2-m1<nn⁢ψ⁢(h)h=hψ⁢(h),

so μ⁢ψ⁢(h)<h. On the other hand,

∥μ⁢x∥≤∥m1⁢x∥+∥m2⁢x∥<1h+1h=2h,

so h<2∥μ⁢x∥. Thus μ⁢ψ⁢(h)<2∥μ⁢x∥, i.e.,

∥μ⁢x∥<2μ⁢ψ⁢(h)≤2μ⁢ψ⁢(μ);

μ<h because μ<hψ⁢(h) and ψ⁢(h)≥ψ⁢(H)≥1. Moreover, since ∥μ⁢x∥<2h≤2H, we have μ≥K. This contradicts (28). ∎

Hardy and Littlewood [58, p. 89, Theorem 4] prove the following theorem that gives us the conclusion (18) for certain functions that are not Riemann integrable on [0,1].

Theorem 28.

Let f:(0,1)→ℝ be nonnegative, let f be nonincreasing on (0,12) and nondecreasing on (12,1), and let

∫01f⁢(t)⁢𝑑t<∞.

Let ψ:(1,∞)→ℝ be a positive and nondecreasing function such that

∑k=2∞1k⁢ψ⁢(k)<∞.

If

∫01f⁢(t)⁢(ψ⁢(1t)+ψ⁢(11-t))⁢𝑑t<∞,

then for almost all x∈Ω,

limn→∞⁡1n⁢∑m=1nf⁢(R⁢(m⁢x))=∫01f⁢(t)⁢𝑑t.
Proof.

For 0<δ<12, define

fδ⁢(t)={f⁢(t),δ≤t≤1-δ,0,0<t<δ or 1-δ<t<1.

From Lemma 27, for almost all x∈Ω there is some C such that for all n and h there are at most C⁢n⁢ψ⁢(h)h integers m∈{1,…,n} satisfying ∥m⁢x∥<1h. Let

Sn=1n⁢∑m=1nf⁢(R⁢(m⁢x))=Sn1⁢(δ)+Sn2⁢(δ),

where

Sn1⁢(δ)=1n⁢∑m=1nfδ⁢(R⁢(m⁢x))

and

Sn2⁢(δ) = 1n⁢∑m=1nf⁢(R⁢(m⁢x))-fδ⁢(R⁢(m⁢x))
= 1n⁢∑∥m⁢x∥<δ1≤m≤nf⁢(R⁢(m⁢x))
= 1n⁢∑k=0∞∑δ2k+1≤∥m⁢x∥<δ2k1≤m≤nf⁢(R⁢(m⁢x))
= 1n⁢∑k=0∞Tk,n⁢(δ).

There are at most C⁢n⁢ψ⁢(2kδ)2kδ integers m∈{1,…,n} that satisfy ∥m⁢x∥<δ2k, thus, as ψ is nondecreasing, there are at most 2⁢C⁢n⁢δ⁢ψ⁢(2kδ)2k+1≤2⁢C⁢n⁢δ⁢ψ⁢(2k+1δ)2k+1 terms in Tk,n⁢(δ). For each term f⁢(R⁢(m⁢x)) in Tk,n⁢(δ), since δ2k+1≤∥m⁢x∥ we have, by assumption on f, either f⁢(R⁢(m⁢x))≤f⁢(δ2k+1) or f⁢(R⁢(m⁢x))≤f⁢(1-δ2k+1), and hence

f⁢(R⁢(m⁢x))≤f⁢(δ2k+1)+f⁢(1-δ2k+1).

Therefore,

Sn2⁢(δ) ≤ 1n⁢∑k=0∞2⁢C⁢n⁢δ⁢ψ⁢(2k+1δ)2k+1⁢(f⁢(δ2k+1)+f⁢(1-δ2k+1))
= 4⁢C⁢∑k=0∞δ2k+2⁢ψ⁢(2k+1δ)⁢f⁢(δ2k+1)+4⁢C⁢∑k=0∞δ2k+2⁢ψ⁢(2k+1δ)⁢f⁢(1-δ2k+1)
≤ 4⁢C⁢∫0δ2ψ⁢(1t)⁢f⁢(t)⁢𝑑t+4⁢C⁢∫1-δ21ψ⁢(11-t)⁢f⁢(t)⁢𝑑t.

Let ϵ>0. Because ∫01f⁢(t)⁢(ψ⁢(1t)+ψ⁢(11-t))⁢𝑑t<∞, there exists a δ1 such that if δ≤δ1 then Sn2⁢(δ)<ϵ.

On the other hand, since fδ is Riemann integrable on [0,1] and because, by (19), the sequence m⁢x is uniformly distributed modulo 1, we obtain from (18) that

limn→∞⁡Sn1⁢(δ)=∫01fδ⁢(t)⁢𝑑t=∫δ1-δf⁢(t)⁢𝑑t.

As ∫01f⁢(t)⁢𝑑t<∞, there exists a δ2 such that for δ≤δ2 and for sufficiently large n,

|Sn1⁢(δ)-∫01f⁢(t)⁢𝑑t|≤|Sn1⁢(δ)-∫δ1-δf⁢(t)⁢𝑑t|+|∫0δf⁢(t)⁢𝑑t|+|∫1-δ1f⁢(t)⁢𝑑t|<3⁢ϵ.

Therefore, for sufficiently large n and for sufficiently small δ,

|Sn-∫01f⁢(t)⁢𝑑t|≤|Sn1⁢(δ)-∫01f⁢(t)⁢𝑑t|+|Sn2⁢(δ)|<4⁢ϵ.

Thus for sufficiently large n,

|Sn-∫01f⁢(t)⁢𝑑t|≤4⁢ϵ.

∎

By the Birkhoff ergodic theorem [44, p. 44, Theorem 2.30], if f∈L1⁢[0,1] and x∈Ω, then for almost all α∈[0,1],

limn→∞⁡1n⁢∑j=1nf⁢(R⁢(α+j⁢x))=∫01f⁢(t)⁢𝑑t.

This equality holding for α=0 is the conclusion of Theorem 28.

Baxa [9] reviews further results that give conditions when a function f:[0,1]→ℝ∪{+∞} that is not Riemann integrable on [0,1] nevertheless satisfies

limn→∞⁡1n⁢∑m=1nf⁢(R⁢(m⁢x))=∫01f⁢(t)⁢𝑑t

for certain x∈Ω. Oskolkov [109, p. 170, Theorem 1] shows that if f:(0,1)→ℝ satisfies limt→0+⁡f⁢(t)=+∞ and limt→1-⁡f⁢(t)=+∞, and also the improper Riemann integral of f on [0,1] exists, then, for x∈Ω,

limn→∞⁡1n⁢∑m=1nf⁢(R⁢(m⁢x))=∫01f⁢(t)⁢𝑑t

if and only if

limn→∞⁡1qn⁢(x)⁢f⁢(R⁢(qn⁢(x)⁢x))=0,

where qn⁢(x) is the denominator of the nth convergent of the continued fraction expansion of x.

Driver, Lubinsky, Petruska and Sarnak [40]

Using Theorem 28 we can now prove the following theorem of Hardy and Littlewood [58, p. 88, Theorem 2].

Theorem 29.

For almost all x∈Ω,

limn→∞⁡(∏k=1n|sin⁡k⁢π⁢x|)1/n=12.
Proof.

Let f⁢(t)=-log⁡sin⁡π⁢t. Using cos⁡(t-π2)=sin⁡t and sin⁡2⁢t=2⁢sin⁡t⁢cos⁡t, one can check that ∫01log⁡sin⁡π⁢t⁢d⁢t=-log⁡2. (The earliest evaluation of this integral of which we are aware is by Euler [46], who gives two derivations, the first using the Euler-Maclaurin summation formula, the power series expansion for log⁡(1+z1-z), and the power series expansion of z⁢cot⁡(z), and the second using the Fourier series of log⁡|sin⁡t|.) Thus, ∫01f⁢(t)⁢𝑑t=log⁡2<∞. So f satisfies the conditions of Theorem 28.

Let ψ⁢(t)=(log⁡t)2. First, upper bounding the series by an integral,

∑k=2∞1k⁢(log⁡k)2≤12⁢(log⁡2)2+∫2∞1t⁢(log⁡t)2⁢𝑑t=12⁢(log⁡2)2+log⁡2<∞.

Second,

∫01f⁢(t)⁢(ψ⁢(1t)+ψ⁢(11-t))⁢𝑑t = ∫01f⁢(t)⁢(ψ⁢(t)+ψ⁢(1-t))⁢𝑑t
= ∫012-2⁢log⁡sin⁡(π⁢t)
((log⁡t)2+(log⁡(1-t))2)⁢d⁢t
≤ ∫012-2⁢log⁡(2⁢t)⁢((log⁡t)2+(log⁡(1-t))2)⁢d⁢t
< ∞.

Therefore by Theorem 28, for almost all x∈Ω,

limn→∞⁡1n⁢∑m=1n-log⁡sin⁡(π⁢R⁢(m⁢x))=∫01-log⁡sin⁡π⁢t⁢d⁢t,

i.e.

limn→∞⁡1n⁢∑m=1nlog⁡|sin⁡π⁢m⁢x|=log⁡12.

∎

Hardy and Littlewood give another proof [58, p. 86, Theorem 1] of the above theorem, which we now work out. This proof is complicated and we greatly expand on the abbreviated presentation of Hardy and Littlewood.

We remind ourselves that the Cauchy-Hadamard formula states that the radius of convergence R of a power series ∑an⁢zn satisfies

R=1lim supn→∞⁡|an|1/n=lim infn→∞⁡|an|-1/n.
Theorem 30.

Fix x∈Ω and write q0=e2⁢π⁢i⁢x. Let ρ and R respectively be the radii of convergence of the power series

f⁢(z)=∑n=1∞znn⁢(1-q0n),F⁢(z)=1+∑n=1∞zn(1-q0)⁢(1-q02)⁢⋯⁢(1-q0n).

Then R=ρ, and if |z|<ρ then F⁢(z)=ef⁢(z).

The functions f:D⁢(0,ρ)→ℂ and F:D⁢(0,R)→ℂ are analytic [143, p. 69, Theorem 2.16].

Using the Cauchy-Hadamard formula we have

ρ=lim infn→∞⁡n1/n⁢|1-q0n|1/n≤lim infn→∞⁡(2⁢n)1/n=1

and

R=lim infn→∞⁡(|1-q0|⁢|1-q02|⁢⋯⁢|1-q0n|)1/n≤2⁢ρ. (29)
Lemma 31.

For |u|=1 and for 0≤r<1,

|1-u1-r⁢u|≤2.
Proof.
|1-u|≤|1-r⁢u|+|r⁢u-u|=|1-r⁢u|+1-r.

Because Re⁢u≤1 we have 1-r≤1-r⁢Re⁢u=Re⁢(1-r⁢u)≤|1-r⁢u|. Hence |1-u|≤2⁢|1-r⁢u|, from which the claim follows. ∎

We assert the following as a common fact in complex analysis.

Lemma 32.

For |w|<1 define

L⁢(w)=∑n=1∞wnn.

If |w|<1, then eL⁢(w)=(1-w)-1.

For |q|,|z|<1, we define

f⁢(z,q)=∑n=1∞znn⁢(1-qn),F⁢(z,q)=1+∑n=1∞zn(1-q)⁢(1-q2)⁢⋯⁢(1-qn).

For |q|<1, define c0⁢(q)=0 and for n≥1,

cn⁢(q)=1n⁢(1-qn),

and thus for |z|<1,

f⁢(z,q)=∑n=0∞cn⁢(q)⁢zn.

Furthermore define γ0=0 and for n≥1,

γn=1n⁢(1-q0n),

and thus for |z|<ρ,

f⁢(z)=∑n=0∞γn⁢zn.

For |q|<1, define C0⁢(q)=1 and for n≥1,

Cn⁢(q)=1(1-q)⁢(1-q2)⁢⋯⁢(1-qn),

and thus for |z|<1,

F⁢(z,q)=∑n=0∞Cn⁢(q)⁢zn.

Furthermore define Γ0=1 and for n≥1,

Γn=1(1-q0)⁢(1-q02)⁢⋯⁢(1-q0n),

and thus for |z|<R,

F⁢(z)=∑n=0∞Γn⁢zn.

We prove directly the following, which is an instance of the q-binomial formula [3, p. 17, Theorem 2.1].

Proposition 33.

If |q|,|z|<1 then

F⁢(z,q)=ef⁢(z,q).
Proof.

By Lemma 32,

f⁢(z,q)=∑n=1∞znn⁢(∑m=0∞qn⁢m)=∑m=0∞(∑n=1∞(z⁢qm)nn)=∑m=0∞L⁢(z⁢qm).

Because eL⁢(w)=(1-w)-1 for |w|<1,

ef⁢(z,q)=∏m=0∞eL⁢(z⁢qm)=∏m=0∞(1-z⁢qm)-1.

Define

G⁢(z,q)=∏m=0∞(1-z⁢qm)-1=∑n=0∞gn⁢(q)⁢zn.

On the one hand, g0⁢(q)=G⁢(0,q)=1. On the other hand,

G⁢(q⁢z,q)=(1-z)⁢G⁢(z,q),

thus

∑n=0∞gn⁢(q)⁢zn+1=∑n=0∞gn⁢(q)⁢(1-qn)⁢zn,

and therefore for n≥1 we have gn⁢(q)=(1-qn)-1⁢gn-1⁢(q). Thus by induction, for n≥1,

gn⁢(q)=1(1-q)⁢(1-q2)⁢⋯⁢(1-qn).

Hence

ef⁢(z,q)=1+∑n=1∞zn(1-q)⁢(1-q2)⁢⋯⁢(1-qn)=F⁢(z,q).

∎

Proposition 34.

R≥ρ, and if |z|<ρ then ef⁢(z)=F⁢(z).

Proof.

If ρ=0 then the claim is immediate. Otherwise, 0<ρ≤1. Let 0<t<ρ, 0<r<1, and define G⁢(θ)=F⁢(t⁢ei⁢θ,r⁢q0). On the one hand,

G⁢(θ)=∑n=0∞Cn⁢(r⁢q0)⁢(t⁢ei⁢θ)n=∑n=0∞Cn⁢(r⁢q0)⁢tn⁢ei⁢n⁢θ,

which implies that G^⁢(n)=Cn⁢(r⁢q0)⁢tn for n≥0 and G^⁢(n)=0 for n<0. On the other hand, for n∈ℤ, using Proposition 33,

G^⁢(n) =12⁢π⁢∫02⁢πG⁢(θ)⁢e-i⁢n⁢θ⁢𝑑θ
=12⁢π⁢∫02⁢πF⁢(t⁢ei⁢θ,r⁢q0)⁢e-i⁢n⁢θ⁢𝑑θ
=12⁢π⁢∫02⁢πef⁢(t⁢ei⁢θ,r⁢q0)⁢e-i⁢n⁢θ⁢𝑑θ.

By Lemma 31,

|f⁢(t⁢ei⁢θ,r⁢q0)|≤∑n=1∞tnn⁢|1-rn⁢q0n|≤2⁢∑n=1∞tnn⁢|1-q0n|=M⁢(t),

and because t<ρ it is the case that M⁢(t)<∞. Then for n≥0,

|Cn⁢(r⁢q0)⁢tn|=|G^⁢(n)|≤12⁢π⁢∫02⁢π|ef⁢(t⁢ei⁢θ,r⁢q0)|⁢𝑑θ≤eM⁢(t).

Cn⁢(r⁢q0)→Γn as r→1, and therefore

|Γn⁢tn|≤eM⁢(t),0<t<ρ,n≥0.

Now fix |z|<ρ, take t such that |z|<t<ρ, and write 0≤δ=|z|t<1 and Mn=eM⁢(t)⁢δn. Because |Γn⁢tn|≤eM⁢(t),

∑n=0∞|Γn⁢zn|=∑n=0∞δn⁢|Γn⁢tn|≤∑n=0∞Mn=eM⁢(t)1-δ<∞,

which implies that |z|≤R. Therefore R≥ρ. Furthermore, because

|Cn(rq0)zn|=δn|Cn(rq0|tn|=Mn,r∈(0,1),

by the Weierstrass M-test [128, p. 148, Theorem 7.10], the sequence ∑n=0NCn⁢(r⁢q0)⁢zn converges uniformly for r∈(0,1) and therefore [128, p. 149, Theorem 7.11]

limr→1⁡F⁢(z,r⁢q0) =limr→1⁡limN→∞⁡∑n=0NCn⁢(r⁢q0)⁢zn
=limN→∞⁡limr→1⁡∑n=0NCn⁢(r⁢q0)⁢zn
=limN→∞⁡∑n=0NΓn⁢zn
=F⁢(z).

Now, for 0<r<1, by Lemma 31,

|cn⁢(r⁢q0)⁢zn|=|znn⁢(1-rn⁢q0n)|≤2⁢|znn⁢(1-q0n)|=mn.

Because |z|<ρ, the series ∑n=0∞mn converges, and therefore by the Weierstrass M-test, the sequence ∑n=0Ncn⁢(r⁢q0)⁢zn converges uniformly for r∈(0,1). Then

limr→1⁡f⁢(z,r⁢q0) =limr→1⁡limN→∞⁡∑n=0Ncn⁢(r⁢q0)⁢zn
=limN→∞⁡limr→1⁡∑n=0Ncn⁢(r⁢q0)⁢zn
=limN→∞⁡∑n=0Nγn⁢zn
=f⁢(z).

Then using Lemma 33,

exp⁡(f⁢(z)) =exp⁡(limr→1⁡f⁢(z,r⁢q0))
=limr→1⁡exp⁡(f⁢(z,r⁢q0))
=limr→1⁡F⁢(z,r⁢q0)
=F⁢(z),

completing the proof. ∎

Lemma 35.

If |u|=1 and u≠1 then

|∑n=1Nun|≤2|1-u|.
Proof.
|∑n=1Nun|=|u-uN+11-u|=|1-uN1-u|≤2|1-u|.

∎

Lemma 36.

Let 0<a<1, let x∈Ω, and suppose that there is some C such that an|sin⁡n⁢π⁢x|≤C for all n. Then

∑n=1Na2⁢nsin2⁡n⁢π⁢x=o⁢(N),N→∞.
Proof.

Take 0<ϵ<12 and let

EN={n:1≤n≤N,∥n⁢x∥<ϵ}.

Thus if 1≤n≤N and n∉EN then ∥n⁢x∥≥ϵ. Write SN=∑n=1Na2⁢nsin2⁡n⁢π⁢x. Because |sin⁡n⁢π⁢x|=sin⁡(π⁢∥n⁢x∥)≥2⁢∥n⁢x∥,

SN =∑n∈ENa2⁢nsin2⁡n⁢π⁢x+∑n∉EN,1≤n≤Na2⁢nsin2⁡n⁢π⁢x
≤C2⁢|EN|+∑n∉EN,1≤n≤Na2⁢n4⁢ϵ2
≤C2⁢|EN|+14⁢ϵ2⁢(1-a2).

Because x is irrational, by Theorem 19 the sequence n⁢x is uniformly distributed modulo 1. Therefore

|EN|N→2⁢ϵ,N→∞,

and this implies

lim supN→∞⁡SNN≤2⁢ϵ⋅C2.

Because this is true for each 0<ϵ<12 it follows that limN→∞⁡SNN=0, proving the claim. ∎

Proposition 37.

R≤ρ.

Proof.

We have found in (29) that R≤2⁢ρ, i.e. ρ≥R2. Assume by contradiction that R>ρ; in particular R>0, which implies ρ≥R2>0. By Proposition 34, we have F⁢(z)=ef⁢(z) for |z|<ρ and so F⁢(z)≠0 for z∈D⁢(0,ρ).

Let u1⁢ρ,…,us⁢ρ be the distinct zeros of F on |z|=ρ, with respective multiplicities p1,…,ps; if there is none, take s=0, and use ∑∅=0 and ∏∅=1. Define

G⁢(z)=F⁢(z)⁢∏j=1s(1-zuj⁢ρ)-pj,z∈D⁢(0,R).

Because G:D⁢(0,R)→ℂ is analytic and G⁢(z)≠0 for z∈D⁢(0,ρ)¯, there is some T, ρ<T≤R, such that G⁢(z)≠0 for z∈D⁢(0,T) [129, p. 208, Theorem 10.18]. As D⁢(0,T) is simply connected, there is an analytic function g:D⁢(0,T)→ℂ such that G⁢(z)=eg⁢(z) for z∈D⁢(0,T) [129, p. 274, Theorem 13.11]. Thus

F⁢(z)=eg⁢(z)⁢∏j=1s(1-zuj⁢ρ)pj,z∈D⁢(0,T).

For z∈D⁢(0,ρ) we have |zuj⁢ρ|=|z|ρ<1, and then by Lemma 32, eL⁢(zuj⁢ρ)=(1-zuj⁢ρ)-1. Therefore for z∈D⁢(0,ρ),

ef⁢(z)=F⁢(z)=eg⁢(z)⁢∏j=1se-pj⁢L⁢(zuj⁢ρ)=exp⁡(g⁢(z)-∑j=1spj⁢L⁢(zuj⁢ρ)),

i.e.

exp⁡(f⁢(z)-g⁢(z)-∑j=1spj⁢L⁢(zuj⁢ρ))=1,z∈D⁢(0,ρ).

But the image of a continuous function D⁢(0,ρ)→2⁢π⁢i⁢ℤ is connected, and because 2⁢π⁢i⁢ℤ has the discrete topology it follows that the image is a singleton, thus there is some ν∈ℤ such that

f⁢(z)-g⁢(z)+∑j=1spj⁢L⁢(zuj⁢ρ)=2⁢π⁢i⁢ν,z∈D⁢(0,ρ).

But eg⁢(0)=G⁢(0)=F⁢(0)⋅1=1, so g⁢(0)=0, and f⁢(0)=0, hence ν=0. Therefore

f⁢(z)=g⁢(z)-∑j=1spj⁢L⁢(zuj⁢ρ),z∈D⁢(0,ρ).

Now, for z∈D⁢(0,ρ),

∑j=1spj⁢L⁢(zuj⁢ρ)=∑j=1spj⁢∑n=1∞(zuj⁢ρ)nn=∑n=1∞(1n⁢∑j=1spj⁢(uj⁢ρ)-n)⁢zn.

Let gn=g(n)⁢(0)n!. For z∈D⁢(0,ρ),

∑n=1∞γn⁢zn=∑n=1∞gn⁢zn-∑n=1∞(1n⁢∑j=1spj⁢(uj⁢ρ)-n)⁢zn,

so for n≥1,

1n⁢(1-q0n)=γn=gn-1n⁢∑j=1spj⁢(uj⁢ρ)-n.

Then

ρn1-q0n=n⁢ρn⁢gn-∑j=1spj⁢uj-n. (30)

Cauchy’s integral formula [143, p. 82, Theorem 2.41] tells us that for 0<V<T, C⁢(t)=V⁢ei⁢t, 0≤t≤2⁢π,

gn=g(n)⁢(0)n!=12⁢π⁢i⁢∫Cg⁢(w)wn+1⁢𝑑w,

whence, as the length of C is 2⁢π⁢V,

|gn|≤1Vn⁢max|w|=V⁡|g⁢(w)|.

Fix ρ<V<T, with which

|n⁢ρn⁢gn|≤n⁢(ρV)n⁢max|w|=V⁡|g⁢(w)|,

and for ρV<δ<1 we have

|n⁢ρn⁢gn|=O⁢(δn).

Using this and

|∑j=1spj⁢uj-n|≤∑j=1spj=O⁢(1),

(30) yields

ρn1-q0n=O⁢(1).

As

ρn1-q0n=ρn1-e2⁢π⁢i⁢n⁢x=ρn-2⁢i⁢eπ⁢i⁢n⁢x⁢sin⁡π⁢n⁢x=i⁢e-π⁢i⁢n⁢x⁢ρn2⁢sin⁡π⁢n⁢x,

we get

ρ2⁢nsin2⁡π⁢n⁢x=O⁢(1).

For any M, there is some nM such that sin2⁡π⁢nM⁢x≥M, and thus the above estimate is contradicted if ρ=1; hence 0<ρ<1. (We emphasize that ρ<1 is deduced from the assumption R>ρ, which we are showing to imply a contradiction.) By Lemma 36 we then get that

∑n=1Nρ2⁢nsin2⁡n⁢π⁢x=o⁢(N). (31)

Now, multiplying each side of (30) by its complex conjugate and using that |n⁢ρn⁢gn|=O⁢(δn) and that |∑j=1spj⁢uj-n|=O⁢(1),

ρ2⁢n4⁢sin2⁡π⁢n⁢x=(∑j=1spj⁢uj-n)⁢(∑k=1spk⁢ukn)+O⁢(δn),

i.e.

ρ2⁢n4⁢sin2⁡π⁢n⁢x=∑j=1spj2+∑j≠kpj⁢pk⁢(uj-1⁢uk)n+O⁢(δn). (32)

Let E={(j,k):1≤j,k≤s,j≠k} and let P=∑j=1spj2>0. Then summing (32) for n=1,…,N, using ∑n=1Nδn=δ⋅1-δN1-δ=O⁢(1),

∑n=1Nρ2⁢n4⁢sin2⁡π⁢n⁢x=N⁢P+∑(j,k)∈Epj⁢pk⁢(∑n=1N(uj-1⁢uk)n)+O⁢(1).

Because uj≠uk for (j,k)∈E, we have according to Lemma 35 that

|∑n=1N(uj-1⁢uk)n|≤2|1-uj-1⁢uk|=O⁢(1).

Thus

∑n=1Nρ2⁢nsin2⁡π⁢n⁢x=4⁢N⁢P+O⁢(1),

and because P>0 this contradicts (31). Therefore, it is false that R>ρ, which means that R≤ρ, proving the claim. ∎

Theorem 38.

Let x∈Ω and let ρ1 and R1 respectively be the radii of convergence of the power series

∑n=1∞znsin⁡n⁢π⁢x,∑n=1∞znsin⁡π⁢x⋅sin⁡2⁢π⁢x⁢⋯⁢sin⁡n⁢π⁢x.

Then R1=ρ12.

Proof.
|1-q0n|=|1-e2⁢π⁢i⁢n⁢x|=2⁢|sin⁡π⁢n⁢x|.

By the Cauchy-Hadamard formula,

R1=lim infn→∞⁡|sin⁡π⁢x⁢⋯⁢sin⁡n⁢π⁢x|1/n=12⋅lim infn→∞⁡|(1-q0)⁢⋯⁢(1-q0n)|1/n=R2

and

ρ1=lim infn→∞⁡|sin⁡n⁢π⁢x|1/n=ρ.

Theorem 30 says R=ρ, hence R1=R2=ρ2=ρ12. ∎

By Lemma 23 and Theorem 24, for almost all x, the power series ∑n=1∞znsin⁡n⁢π⁢x has radius of convergence 1. Then using Theorem 38, for almost all x the power series ∑n=1∞znsin⁡π⁢x⋅sin⁡2⁢π⁢x⁢⋯⁢sin⁡n⁢π⁢x has radius of convergence 12, and thus for almost all x∈Ω,

lim infn→∞⁡(∏k=1n|sin⁡k⁢π⁢x|)1/n=12.

Hardy and Littlewood give a separate argument [58, p. 88, Eq. 4.3] proving that for almost all x∈Ω,

lim supn→∞⁡(∏k=1n|sin⁡k⁢π⁢x|)1/n=12,

and combining the formulas for the limit inferior and limit superior yields Theorem 29.

Lubinsky [98] proves more results about products of the form ∏k=1n(1-e2⁢π⁢i⁢k⁢θ). For example, Lubinsky [98, p. 219, Theorem 1.1] proves that for all ϵ>0, for almost all θ∈Ω we have

|log⁡|∏k=1n(1-e2⁢π⁢i⁢k⁢θ)||=O⁢((log⁡n)⁢(log⁡log⁡n)1+ϵ).

The author [14, p. 532, Theorem 2] gives asymptotic expressions for the Lp⁢[0,1] norm of ∏k=1n(1-e2⁢π⁢i⁢k⁢θ) as n→∞, for 1≤p≤∞.

For ω∈ℝ let Pn⁢(ω)=∏r=1n|2⁢sin⁡π⁢r⁢ω|. Let Fn be the nth Fibonacci number and let g=-1+52. Verschueren and Mestel [148, p. 204, Theorem 2.2] prove that there is some c=2.407⁢… such that

PFn⁢(g)→c,n→∞

and

PFn-1⁢(g)Fn→c2⁢π⁢5,n→∞,

and that there are C1≤0 and C2≥1 such that for all n,

nC1≤Pn⁢(g)≤nC2.

Let X be a measure space with probability measure λ. Following [137, p. 21, Definition 3.6], we say that a measure preserving map T:X→X is r-fold mixing if for all g,f1,…,fr∈Lr+1⁢(X) we have

limm1→∞,…,mr→∞⁡∫Xg⁢(t)⋅∏k=1rfk⁢(T∑j=1kmj⁢(t))⁢d⁢λ⁢(t)=(∫Xg⁢(t)⁢𝑑λ⁢(t))⁢∏k=1r(∫Xfk⁢(t)⁢𝑑λ⁢(t)). (33)

If for each r the map T is r-fold mixing, we say that T is mixing of all orders.

Let q≥2 be an integer, and define Tq:[0,1]→[0,1] by Tq⁢(t)=R⁢(q⁢t). We assert that Tq is mixing of all orders. This can be proved by first showing that the dynamical system ([0,1],μ,Tq) is isomorphic to a Bernoulli shift (cf. [44, p. 17, Example 2.8]). This implies that if the Bernoulli shift is r-fold mixing then Tq is r-fold mixing. One then shows that a Bernoulli shift is mixing of all orders [44, p. 53, Exercise 2.7.9]. Using that Tq is mixing of all orders gets us the following result.

Theorem 39.

Let q≥2 be an integer. For each n≥1 we have

limm→∞⁡∫01|sin⁡(2⁢π⁢t)|⋅∏k=1n|sin⁡(2⁢π⁢qk⁢m⁢t)|⁢d⁢t=(2π)n+1.
Proof.

Define g⁢(t)=f1⁢(t)=⋯=fn⁢(t)=|sin⁡(2⁢π⁢t)|. For any nonzero integer N we have

∫01|sin⁡(2⁢π⁢N⁢t)|⁢𝑑t=2π,

and it follows from (33), using m1=m,…,mn=m, that

limm→∞⁡∫01|sin⁡(2⁢π⁢t)|⋅∏k=1n|sin⁡(2⁢π⁢qk⁢m⁢t)|⁢d⁢t=(2π)n+1.

∎

See Sinai [136].

Write Sk⁢(α)=∑j=1kXj⁢(α), where Xj⁢(α)=log⁡|2-2⁢cos⁡(2⁢π⁢j⁢α)| and α=-1+52. Knill and Tangerman [79] talk about motivations from KAM theory for caring about these sums. See Lagarias [86] and Ghys [54] for more on small divisors in Hamiltonian dynamics, and Carleson and Gamelin [26, p. 48, Theorem 7.2] and Yoccoz [158] for Arnold’s theorem on analytic circle diffeomorphisms.

Marmi and Sauzin [99]

12 Conclusions

Kac and Salem [73] prove the following. Let ck be a sequence of nonnegative real numbers for which ∑k=1∞ck<∞. If the series

∑k=1∞ck⁢1|sin⁡k⁢x|

converges in a set of positive measure, then

∑k=1∞ck⁢log⁡(1ck)<∞,

and if this condition is satisfied then ∑k=1∞ck⁢1|sin⁡k⁢x| converges for almost all x.

Muromskii [105, p. 54, Theorem 1] proves that if ck is a sequence of nonnegative real numbers, if α>1, and if there is a set of positive measure on which the series

∑k=1∞ck⁢1|sin⁡k⁢x|α

converges, then for any δ>0, the series

∑k=1∞ck4α+3+δ

converges.

Let X be a random variable that is uniformly distributed on [0,1]. Kesten [77, p. 111, Theorem 1 ] proves that if ∑k=0∞|ck|<∞, then the series

∑k=0∞cksin⁡(2⁢π⁢2k⁢X)

converges with probability 1. Stated using measure theory, the conclusion is that for almost all x∈Ω, the series

∑k=0∞cksin⁡(2⁢π⁢2k⁢x)

converges. Kesten [77, p. 114, Theorem 3] also proves if an∈ℝ and an→∞, then

1an⁢∑k=0n-11sin⁡(2⁢π⁢2k⁢X)→0

in probability. Stated using measure theory, the conclusion is that for each ϵ>0,

limn→∞⁡μ⁢{x∈Ω:|1an⁢∑k=0n-11sin⁡(2⁢π⁢2k⁢x)|≥ϵ}=0.

For 𝕋d=ℝd/ℤd=(ℝ/ℤ)d, let σ be Haar measure on 𝕋 and let σd=⨂1≤j≤dσ be Haar measure on 𝕋d, with σ⁢(𝕋)=1. A sequence t⁢(n)∈𝕋d, n≥1, is said to be uniformly distributed if for any arcs I1,…,Id in 𝕋, with I=∏j=1dIj,

limN→∞⁡|{t⁢(n)∈I:1≤n≤N}|N=σd⁢(I).

Kronecker’s approximation theorem [144, p. 108, Theorem 6.3] states that if α1,…,αd∈ℝ and {1,α1,…,αd} is linearly independent over ℚ, then the sequence (n⁢α1+ℤ,…,n⁢αd+ℤ), n≥1, is uniformly distributed in 𝕋d. Meyer [100] is a thorough presentation of multidimensional Diophantine approximation and Diophantine approximation with locally compact abelian groups, and harmonic analysis involving sets satisfying various Diophantine properties.

See Abraham and Marsden [1, p. 395, Proposition 5.2.23] and [1, pp. 818-820, Proposition 5.2.23].

Measure theoretic results in Diophantine approximation are presented in Khinchin [78], Einsiedler and Ward [44, Chapter 3], Rockett and Szüsz [127, Chapters V and VI], Billingsley [19, pp. 13–15, 319–326], Kac [74, Chapter 5], Bugeaud [25], and Kesseböhmer, Munday and Stratmann [76]. The significance of continued fraction expansions of irrational numbers in the early history of axiomatic probability theory is described by Barone and Novikoff [8], Durand and Mazliak [43], and von Plato [151]. Veech [147] presents material on Diophantine approximation in the setting of topological dynamics.

We have been interested in results about almost all x∈Ω, using Lebesgue measure μ on [0,1]. If E⊂Ω has μ⁢(E)=0, one can ask what the Hausdorff dimension dimH⁡E of the set E is. Let ℬK be the set of those x∈Ω such that an⁢(x)≤K for all n≥1, and let ℬ=⋃K≥1ℬK, the set of those x∈Ω with bounded partial quotients. We have already stated that μ⁢(ℬ)=0 [78, p. 60, Theorem 29], and Jarník [39, Theorem 4.3] proves that the Hausdorff dimension of ℬ is in fact 1; cf. Falconer [47, p. 155, Theorem 10.3] and Wolff [157, p. 67, Chapter 9] on Hausdorff dimension. Hensley [64] proves

dimH⁡ℬK=1-6π2⁢K-1-72π4⁢K-2⁢log⁡K+O⁢(K-2),K→∞.

Dodson and Kristensen [39] give a survey of results on the Hausdorff dimension of various sets that appear in Diophantine approximation.

For a decreasing positive function ψ, the set

W⁢(ψ)={x∈[0,1]:∥q⁢x∥<q⁢ψ⁢(q) for infinitely many q∈ℕ}

can be written as the limsup of a sequence of sets,

W⁢(ψ)=lim supn→∞⁡W⁢(ψ,n)=⋂N=1∞⋃n=N∞W⁢(ψ,n),

where

W⁢(ψ,n)=⋃2n-1<q≤2n⋃0≤p≤q(pq-ψ⁢(q),pq+ψ⁢(q))∩[0,1].

One can exploit nice properties of limsup sets, such as the Borel-Cantelli lemma and invariance under ergodic transformations, to prove fundamental results in Diophantine approximation. Beresnevich, Dickinson and Velani [16] use this motiviation of Diophantine approximation to build a framework for a natural class of limsup sets on compact metric spaces. Their general results readily imply the divergent case of Khinchin’s theorem: μ⁢(W⁢(ψ))=0 if ∑q⁢ψ⁢(q)<∞ (Lemma 7) and μ⁢(W⁢(ψ))=1 if ∑q⁢ψ⁢(q)=∞. Their framework also establishes the divergent case of Jarník’s theorem: the f-Hausdorff dimension of W⁢(ψ) is 0 if ∑q⁢f⁢(ψ⁢(q))<∞ and is infinity if ∑q⁢f⁢(ψ⁢(q))=∞, where f is a dimension function such that r-1⁢f⁢(r)→∞ as r→0, and r-1⁢f⁢(r) is decreasing.

As well, rather than making statements about subsets of Ω of measure 1, we can talk about sets whose complements are meager. (Measure theoretically, the notion of a negligible set is made precise as a set of measure 0, and topologically the notion of a negligible set is made precise as a meager set.) Some results of this type are proved in Oxtoby [111, Chapter 2].

Let p be prime, let Np={0,…,p-1}, and let ℚp⊂∏ℤNp be the p-adic numbers. For x∈ℚp let

vp⁢(x)=inf⁡{k∈ℤ:x⁢(k)≠0},|x|p=p-vp⁢(x),

and let ℤp={x∈ℚp:vp⁢(x)≥0}, the p-adic integers. Let μp be the Haar measure on the additive locally compact abelian group ℚp with μp⁢(ℤp)=1. We call λ∈ℤp a p-adic Liouville number if ν⁢(λ)=lim infn→∞⁡|n-λ|p1/n=0, and let ℒp be the set of p-adic Liouville numbers. One checks that if λ∈ℤ≥0 then ν⁢(λ)=1 [130, p. 201, Exercise 66.A]. It can be proved that ℒp is a dense Gδ set in ℤp [130, p. 204, Theorem 67.3] and that μp⁢(ℒp)=0 [130, p. 205, Theorem 67.4]. One reason for caring about p-adic Liouville numbers is that if x∈ℤp is algebraic over ℚ then ν⁢(x)=1, and hence a p-adic Liouville number is transcendental over ℚ [130, p. 203, Theorem 67.2].

Unlike in estimating exponential sums, the sums that we have been estimating in this paper do not have cancellation. Instead we have estimated them by showing that the terms are only occasionally large. For An⁢(t)=∑k=1nsin⁡k⁢tk, it can be proved [118, p. 74, no. 25] that

|An⁢(t)|<∫0πsin⁡θθ⁢𝑑θ=1.8519⁢…

On the other hand, let Mn be the maximum of ∑k=1n|sin⁡k⁢t|k. It can be proved [118, p. 77, no. 38] that

Mn=2π⁢log⁡n+O⁢(1).

Walfisz [152] presents results of his, of Oppenheim, and of Chowla on sums

∑j≤ng⁢(j)⁢e2⁢π⁢i⁢j⁢x

for g⁢(j)=rk⁢(j), the number of ways to write j as a sum of k squares, and for g⁢(j)=d⁢(j), the number of positive divisors of j. One of the results of Chowla is that if x∈Ω has bounded partial quotients, then

∑j=1nd⁢(j)⁢e2⁢π⁢i⁢j⁢x=O⁢(n12⁢log⁡n).

One of the results Walfisz proves is that if ϵ>0, then for almost all x∈Ω,

∑j=1nd⁢(j)⁢e2⁢π⁢i⁢j⁢x=O⁢(n12⁢(log⁡n)2+ϵ).

Wilton [156] proves some similar results. For example, Wilton proves that for any x∈Ω,

∑j=1nd⁢(j)j⁢cos⁡2⁢π⁢j⁢x=o⁢((log⁡n)2),

See Jutila’s book on exponential sums [72].

Let f⁢(t)=P1⁢(t) for t∉ℤ and {t}=0 for t∈ℤ, where P1 is a periodic Bernoulli function. Namely, for all t∈ℝ,

f⁢(t)=-1π⁢∑m=1∞sin⁡2⁢π⁢m⁢tm.

Define SN⁢(θ)=∑n=1Nμ⁢(n)n⁢f⁢(n⁢θ), where μ is the Möbius function. Davenport [33, p. 11, Theorem 2] proves that there is some C such that for all N and for all θ,

|∑n=1Nμ⁢(n)n⁢f⁢(n⁢θ)|≤C.

Davenport [33, p. 13, Theorem 4] also proves that for almost all θ,

∑n=1Nμ⁢(n)n⁢f⁢(n⁢θ)→-1π⁢sin⁡2⁢π⁢θ.

See Jaffard [70].

It would be a useful project to give an organized presentation of Hardy and Littlewood’s results on Diophantine approximation. Their papers in this area are all included in Hardy’s collected works [61]. Hardy and Littlewood proved many pleasant results on various sums and series with coefficients related to sin⁡(n⁢π⁢x) and R⁢(n⁢x). It would be desirable to streamline and systematically prove these results, to let a modern reader to be able to understand them without having to read the whole series of papers to figure out what results are being tacitly used from earlier work or assumed as general knowledge. There is only a bare summary of Hardy and Littlewood’s work in the commentary in Hardy’s collected papers. Hardy’s work on Diophantine approximation is briefly summarized by Mordell [104]. See also lecture V of Hardy’s lectures on Ramanujan [60].

Acknowledgments

The author thanks Hervé Queffélec (Université de Lille) and Martine Queffelec (Université de Lille) for a long correspondence on Hardy and Littlewood’s “curious power-series” [58].

The author thanks Jeremy Voltz (University of Toronto) for discussions on Beresnevich, Dickinson and Velani’s monograph [16] on limsup sets.

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