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Gaussian convolution has second-order KL and log-square error

Statement

Assume AC. Let p∈C2(R) be a nonnegative compactly supported probability density and suppose J:=∫{p>0}(p′′(x))2p(x) dx<∞. For σ>0, set qσ=p∗ϕσ, where ϕσ is the centered normal density with standard deviation σ. Then ∫(p−qσ)2qσ dx≤49σ4J,KL(p∥qσ)≤49σ4J,∫p[log⁡pqσ]2dx≤49σ4J. The logarithmic integrands are zero where p=0. No unimodality or uniform bound on p/qσ is assumed.

Facts & Assumptions

Given: AC and the density and integrability hypotheses of the Statement.

[F1]

The normal kernel is ϕσ(x)=(σ2π)−1e−x2/(2σ2) and integrates to one. A positive-variance normal law has its location-scale density

[F2]

Cauchy–Schwarz bounds an integral of a product by the product of its two L2 norms. Cauchy-Schwarz inequality for L2

[F3]

Nonnegative product integrals may be taken in either order. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product

[F4]

The directional KL divergence of two densities with absolute continuity is the integral of their log ratio under the first law. Kullback–Leibler divergence

[F5]

A parameter derivative may pass under an integral when it is measurable and dominated locally by one integrable function. Differentiation under the integral sign

[F7]

If a differentiable function has an integrable derivative on a compact interval, its derivative integrates to the endpoint difference. The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a)

[F8]

The natural logarithm is differentiable on (0,∞) with derivative 1/x. The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t

[F9]

Pointwise-convergent integrands dominated by one integrable function have convergent integrals. Dominated convergence

Proof

1.1F2givenalgebra

At every zero of the nonnegative differentiable function p, p′=0. At each accumulation point of its zero set, differentiation along zeros of p′ gives p′′=0; isolated zeros form a countable set. Thus p′′=0 almost everywhere on {p=0}. Put r=p′′/p on {p>0} and zero elsewhere. Then p′′=rp almost everywhere, ∫r2p=J, and [F2] gives ∫∣p′′∣≤J. Both p and p′′ are continuous and compactly supported.

2.1F1F5F6F7F9step 1.1algebra

Let Ptf=f∗ϕt for t>0. Direct differentiation of [F1] gives ∂tϕt=12∂x2ϕt. For fixed x and 0<ε<t, the differentiated integrand in Psp(x) is bounded on s∈[ε,t] and the compact support of p by Cx,ε,t∣p(z)∣; differentiation under the integral [F5] and two integrations by parts [F6] therefore give ∂sPsp=12Psp′′. The boundary terms vanish because p,p′ have compact support. Dominated convergence [F9] makes s↦Psp′′(x) continuous on [ε,t], so [F7] integrates the derivative there. Gaussian approximate identities converge uniformly on continuous compactly supported functions: split their convolution integral at ∣z∣≤δ, where uniform continuity controls the integrand difference, and its complement, whose normal mass tends to zero by scaling and integrability of [F1]. Letting ε↓0 consequently yields p−Ptp=−12∫0tPsp′′ ds pointwise; the omitted integral over [0,ε] tends to zero because ∣Psp′′(x)∣≤∥p′′∥∞.

2.2F1F2F3step 1.1algebra

Fix t>0 and put q=Ptp. It is positive everywhere because p is a nonzero nonnegative density and the Gaussian kernel is positive; Tonelli [F3] and ∫ϕt=1 show q integrates to one. For 0<s≤t, the Gaussian formula gives ϕt(z)≥s/t ϕs(z) for every z, hence q≥s/tPsp. Applying [F2] inside the convolution and then [F3] gives ∣Psp′′∣2≤(Psp)Ps(r2p) and therefore ∫∣Psp′′∣2/q≤t/s∫Ps(r2p)=t/sJ. These inequalities remain valid if one of the pointwise nonnegative integrals is infinite.

3.1F2F3step 2.1step 2.2algebra

Apply [F2] to the time integral in step 2.1 with weights w(s)=(t/s)1/4. Since ∫0tw(s)ds=4t/3, it gives ∣p−q∣2≤14(4t/3)∫0tw(s)−1∣Psp′′∣2ds. Divide by q, integrate and use [F3] and step 2.2. The result is ∫(p−q)2/q≤14(4t/3)J∫0t(t/s)1/4ds=(4/9)t2J. In particular all these weighted integrals are finite.

4.1F4F8step 3.1algebra∎

For u>0, the function u−1−log⁡u has value zero at 1 and derivative (u−1)/u, so log⁡u≤u−1 and ulog⁡u−u+1≤(u−1)2. For t≥1, t−t−1−2log⁡t has value zero at 1 and derivative (t−1)2/t2≥0; replacing t by 1/t gives 2∣log⁡t∣≤∣t−t−1∣ also for 0<t<1. With u=t2, this yields u(log⁡u)2≤(u−1)2. At u=0, use the conventions ulog⁡u=u(log⁡u)2=0, for which both inequalities hold. Apply these pointwise bounds to u=p/q and integrate against q. Since p,q integrate to one, [F4] identifies the first integral as KL; its negative part is integrable because ulog⁡u≥−e−1. Both requested logarithmic quantities are at most the chi-square integral from step 3.1. Taking t=σ2 proves the Statement.

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