Wiener's lemma

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In mathematics, Wiener's lemma is a well-known identity which relates the asymptotic behaviour of the Fourier coefficients of a Borel measure on the circle to its discrete part. This result admits an analogous statement for measures on the real line. It was first discovered by Norbert Wiener.[1][2]

Definition

Consider the space M(𝕋) of all (finite) complex Borel measures on the unit circle 𝕋 and the space C(𝕋) of continuous functions on 𝕋 as its dual space. Then C(𝕋)⊂Lp(𝕋) for all 1≤p<∞ and L1(𝕋)⊂M(𝕋).Template:Sfn

Given μ∈M(𝕋), let μpp=∑jcjδzj, be its discrete part (meaning that μ({zj})=cj≠0 and μ({z})=0 for z∉{zj}. Then limN→∞12N+1∑n=−NN|μ^(n)|2=∑j|cj|2, where μ^(n)=∫𝕋z−ndμ(z) is the n-th Fourier-Stieltjes coefficient of μ.Template:SfnTemplate:Sfn

Similarly, on the real line ℝ, the space M(ℝ) is the dual space of C0(ℝ), continuous functions which vanish at infinity, and C0(ℝ)⊂Lp(ℝ) for all 1≤p≤∞.Template:Sfn

Given μ∈M(ℝ), let μpp=∑jcjδxj, its discrete part. Then limR→∞12R∫−RR|μ^(ξ)|2dξ=∑j|cj|2, where μ^(ξ)=∫ℝe−2πiξxdμ(x) is the Fourier-Stieltjes transform of μ.Template:Sfn

Consequences

If μ∈M(𝕋) is continuous, then limN→∞12N+1∑n=−NN|μ^(n)|2=0. Furthermore, μ̂ tends to zero if μ is absolutely continuous.Template:Sfn Equivalently, μ is absolutely continuous if its Fourier-Stieltjes sequence belongs to the sequence space ℓ2.Template:Sfn That is, if μ places no mass on the sets of Lebesgue measure zero (i.e. μpp=0), then μ̂→0 as |N|→∞. Conversely, if μ̂→0 as |N|→∞, then μ places no mass on the countable sets. Template:Sfn

A probability measure μ on the circle is a Dirac mass if and only if limN→∞12N+1∑n=−NN|μ^(n)|2=1. Here, the nontrivial implication follows from the fact that the weights cj are positive and satisfy 1=∑jcj2≤∑jcj≤1, which forces cj2=cj and thus cj=1, so that there must be a single atom with mass 1.

Proof

  • First of all, we observe that if ν is a complex measure on the circle then
12N+1∑n=−NNν^(n)=∫𝕋fN(z)dν(z),

with fN(z)=12N+1∑n=−NNz−n. The function fN is bounded by 1 in absolute value and has fN(1)=1, while fN(z)=zN+1−z−N(2N+1)(z−1) for z∈𝕋∖{1}, which converges to 0 as N→∞. Hence, by the dominated convergence theorem,

limN→∞12N+1∑n=−NNν^(n)=∫𝕋1{1}(z)dν(z)=ν({1}).

We now take μ′ to be the pushforward of μ‾ under the inverse map on 𝕋, namely μ′(B)=μ(B−1)‾ for any Borel set B⊆𝕋. This complex measure has Fourier coefficients μ′^(n)=μ^(n)‾. We are going to apply the above to the convolution between μ and μ′, namely we choose ν=μ∗μ′, meaning that ν is the pushforward of the measure μ×μ′ (on 𝕋×𝕋) under the product map ⋅:𝕋×𝕋→𝕋. By Fubini's theorem

ν^(n)=∫𝕋×𝕋(zw)−nd(μ×μ′)(z,w)=∫𝕋∫𝕋z−nw−ndμ′(w)dμ(z)=μ^(n)μ′^(n)=|μ^(n)|2.

So, by the identity derived earlier, limN→∞12N+1∑n=−NN|μ^(n)|2=ν({1})=∫𝕋×𝕋1{zw=1}d(μ×μ′)(z,w). By Fubini's theorem again, the right-hand side equals

∫𝕋μ′({z−1})dμ(z)=∫𝕋μ({z})‾dμ(z)=∑j|μ({zj})|2=∑j|cj|2.
  • The proof of the analogous statement for the real line is identical, except that we use the identity
12R∫−RRν^(ξ)dξ=∫ℝfR(x)dν(x)

(which follows from Fubini's theorem), where fR(x)=12R∫−RRe−2πiξxdξ. We observe that |fR|≤1, fR(0)=1 and fR(x)=e2πiRx−e−2πiRx4πiRx for x≠0, which converges to 0 as R→∞. So, by dominated convergence, we have the analogous identity

limR→∞12R∫−RRν^(ξ)dξ=ν({0}).

See also

Notes

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References