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Completeness of normalized probabilists’ Hermite polynomials in Gaussian L²

Statement

Assume AC. Let γ be the standard Gaussian probability measure on R with density ϕ(x)=(2π)−1/2e−x2/2, let Hm be the monic probabilists’ Hermite polynomial defined by H0=1, H1(x)=x, and Hm+1(x)=xHm(x)−mHm−1(x), and put hm=Hm/m!. Then (hm)m≥0 is a complete orthonormal basis of real L2(γ). Every f∈L2(γ) has the norm-convergent expansion f=∑m≥0amhm, where am=∫fhm dγ, and ∑m≥0am2=∥f∥L2(γ)2. If f is continuous and nonpolynomial, then am≠0 for an unbounded set of indices m. Every globally Lipschitz real function belongs to L2(γ), so this conclusion applies to every globally Lipschitz nonpolynomial activation.

Facts & Assumptions

Given: AC; the standard Gaussian measure γ; the monic probabilists’ Hermite polynomials Hm and their normalized versions hm.

[A1]

AC is the axiom that every family of nonempty sets has a choice function (The Axiom of Choice). It supplies countable choice for the Fourier uniqueness and L2 completeness interfaces (AC supplies countable selections and prescribed serial paths).

[F1]

The standard Gaussian measure has Lebesgue density (2π)−1/2e−x2/2 (Standard normal and normal laws).

[F2]

The Hm are monic of degree m, orthogonal under Z∼N(0,1) with E[Hm(Z)Hn(Z)]=m! δmn, and span the polynomials degree by degree (The monic probabilists' Hermite polynomials, Gaussian orthogonality and the monomial expansion of the Hermite polynomials).

[F3]

Complex L2 is complete under countable choice, and Cc∞(R) is dense in Lebesgue L2(R) (Complex completeness, density, and inner product: the consumer interface).

[F4]

With the convention v^(ξ)=∫Rv(x)e−2πixξ dx, the L1 Fourier transform is well-defined and is unique: equal transforms of two L1 functions imply equality almost everywhere (Fourier transform on complex L1 classes, The integral transform is representative independent, Uniqueness of the L1 Fourier transform).

[F6]

For square-integrable real random variables, E∣XY∣≤(EX2)1/2(EY2)1/2 (Cauchy-Schwarz for random variables).

[F7]

Pointwise convergence under one integrable majorant permits passage of integrals to the limit (Dominated convergence).

[F8]

A standard normal variable has finite second moment (A normal variable has finite fourth moment).

Proof

technique · direct
1.1A1F2given

Let r∈L2(γ) be orthogonal to every hm. Each monomial xj is a finite linear combination of H0,…,Hj by [F2], and each fixed polynomial is square-integrable under γ because a polynomial times e−x2/2 has an integrable tail. Therefore ∫r(x)xj dγ(x)=0 for every j≥0.

1.2givenF1F6

Put v(x)=r(x)ϕ(x), so v∈L1(R) by [F1] and [F6]. For every a≥0, Cauchy–Schwarz and completion of the square give ∫∣r(x)∣ea∣x∣ dγ(x)≤∥r∥2(∫e2a∣x∣ dγ)1/2<∞, since each half-line integral is at most e2a2.

2.1F5F7step 1.1step 1.2

Fix ξ∈R. The partial sums SM(x)=∑j=0M(−2πiξx)j/j! converge pointwise to e−2πiξx and satisfy ∣SM(x)∣≤e2π∣ξ∣∣x∣ by [F5]. Applying [F7] with the integrable majorant from step 1.2 gives v^(ξ)=lim⁡M→∞∫r(x)SM(x) dγ(x)=0, because every term is a scalar multiple of a zero moment from step 1.1.

3.1A1F4step 2.1

By [F4], v^=0 implies v=0 Lebesgue-almost everywhere. Since ϕ(x)>0 for all x, r=0 γ-almost everywhere. Thus the only L2(γ) function orthogonal to all the hm is zero.

4.1A1F2F3step 3.1

For arbitrary real f∈L2(γ), set am=∫fhm dγ and SM=∑m=0Mamhm. Orthogonality in [F2] gives ∥f−SM∥22=∥f∥22−∑m=0Mam2≥0 and, for M>K, ∥SM−SK∥22=∑K<m≤Mam2; hence the partial sums are Cauchy. View them in complex L2(γ); by [F3] and [A1] they converge there, and their limit is real because every SM is real. The residual f−S is orthogonal to each hm, hence zero by step 3.1. Therefore f=S in L2(γ) and taking norms yields Parseval’s identity.

5.1F1F8step 4.1∎

If only finitely many am are nonzero, step 4.1 makes f equal almost everywhere to a polynomial p. If f is continuous and differs from p at some point, it differs on a nonempty open interval, which has positive γ measure by [F1]; hence f=p everywhere, contrary to nonpolynomiality. Thus a continuous nonpolynomial f has unbounded coefficient support. A globally Lipschitz f obeys ∣f(x)∣≤∣f(0)∣+L∣x∣; [F8] gives ∫∣x∣2 dγ<∞, so this growth bound implies f∈L2(γ).

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