Functions of bounded variation and a theorem of Khinchin

Jordan Bell
March 12, 2016

For q≥1 let

𝒜q={aq:0≤a≤q,gcd⁡(a,q)=1}.

The sets 𝒜q are pairwise disjoint. In particular 0∈𝒜1 and 0∉𝒜q for q>1. We have

[0,1]∩ℚ=⋃q≥1𝒜q.

Write μ for Lebesgue measure on [0,1].

The following is a version of a theorem of Khinchin about continued fractions.11 1 John J. Benedetto and Wojciech Czaja, Integration and Modern Analysis, p. 183, Theorem 4.3.3. In the literature on Diophantine approximation it is usually proved with the Borel-Cantelli lemma, rather than the machinery of bounded variation and almost everywhere differentiability.

Theorem 1 (Khinchin).

Let F:Z≥1→R>0 and let A be the set of those x∈[0,1]∖Q such that there are infinitely many q for which there is some aq∈Aq satisfying

|α-aq|<1q⁢F⁢(q).

If

∑q=1∞1F⁢(q)<∞,

then μ⁢(A)=0.

Proof.

Define f:[0,1]→ℝ>0 by

f⁢(x)={1q⁢F⁢(q)x∈𝒜q0x∈[0,1]∖ℚ.

Let N≥1. If

0=t0<t1<⋯<tN=1,

then

∑j=0Nf⁢(tj) =∑q=1∞∑j=0Nf⁢(tj)⋅1𝒜q⁢(tj)
=∑q=1∞∑j=0N1q⁢F⁢(q)⋅1𝒜q⁢(tj)
≤∑q=1∞1F⁢(q),

and so

∑j=1N|f⁢(tj)-f⁢(tj-1)|≤2⁢∑j=1Nf⁢(tj)≤2⁢∑q=1∞1F⁢(q).

Therefore

V⁢(f)≤2⁢∑q=1∞1F⁢(q)<∞

by hypothesis, where V⁢(f) denotes the variation of f on [0,1]. The set Df of points at which f is differentiable is a Borel set,22 2 V. I. Bogachev, Measure Theory, volume 1, p. 371, Theorem 5.8.12. and because f has bounded variation, μ⁢(Df)=1.33 3 V. I. Bogachev, Measure Theory, volume 1, p. 335, Theorem 5.2.6. Let E=Df∖ℚ, whose measure is μ⁢(E)=1. Now let x∈E. There are xn∈[0,1]∖ℚ, xn≠x, xn→x, with which

f′⁢(x)=limn→∞⁡f⁢(xn)-f⁢(x)xn-x=limn→∞⁡0-0xn-x=0.

If anqn→x with anqn∈𝒜qn, then

f⁢(an/qn)-f⁢(x)anqn-x=1qn⁢F⁢(qn)⁢(anqn-x)→f′⁢(x)=0,

so qn⁢F⁢(qn)⁢|anqn-x|→∞. There is thus some N such that if n≥N then

qn⁢F⁢(qn)⁢|anqn-x|≥1,

i.e. if n≥N then

|x-anqn|≥1qn⁢F⁢(qn).

Assume by contradiction that x∈A, so there are anqn∈𝒜qn, anqn≠amqm for n≠m, with

|x-anqn|<1qn⁢F⁢(qn),

and because ∑q=1∞1F⁢(q)<∞ it holds that F⁢(q)→∞ and thus 1qn⁢F⁢(qn)→0. This means that x-anqn→0, which implies that x∉E. We have shown that if x∈A then x∉E, so A⊂[0,1]∖E and hence μ⁢(A)≤1-μ⁢(E)=0. ∎