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Gaussian convolution has second-order KL and log-square error
Statement
Assume AC. Let be a nonnegative compactly supported probability density and suppose For , set , where is the centered normal density with standard deviation . Then The logarithmic integrands are zero where . No unimodality or uniform bound on is assumed.
Facts & Assumptions
Given: AC and the density and integrability hypotheses of the Statement.
The normal kernel is and integrates to one. A positive-variance normal law has its location-scale density
Cauchy–Schwarz bounds an integral of a product by the product of its two norms. Cauchy-Schwarz inequality for
Nonnegative product integrals may be taken in either order. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
The directional KL divergence of two densities with absolute continuity is the integral of their log ratio under the first law. Kullback–Leibler divergence
A parameter derivative may pass under an integral when it is measurable and dominated locally by one integrable function. Differentiation under the integral sign
For differentiable functions with integrable derivatives on a compact interval, integration by parts holds. If are differentiable on with integrable, then
If a differentiable function has an integrable derivative on a compact interval, its derivative integrates to the endpoint difference. The second fundamental theorem: if is differentiable on with and is integrable, then
The natural logarithm is differentiable on with derivative . The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t
Pointwise-convergent integrands dominated by one integrable function have convergent integrals. Dominated convergence
Proof
At every zero of the nonnegative differentiable function , . At each accumulation point of its zero set, differentiation along zeros of gives ; isolated zeros form a countable set. Thus almost everywhere on . Put on and zero elsewhere. Then almost everywhere, , and [F2] gives . Both and are continuous and compactly supported.
Let for . Direct differentiation of [F1] gives . For fixed and , the differentiated integrand in is bounded on and the compact support of by ; differentiation under the integral [F5] and two integrations by parts [F6] therefore give . The boundary terms vanish because have compact support. Dominated convergence [F9] makes continuous on , so [F7] integrates the derivative there. Gaussian approximate identities converge uniformly on continuous compactly supported functions: split their convolution integral at , where uniform continuity controls the integrand difference, and its complement, whose normal mass tends to zero by scaling and integrability of [F1]. Letting consequently yields pointwise; the omitted integral over tends to zero because .
Fix and put . It is positive everywhere because is a nonzero nonnegative density and the Gaussian kernel is positive; Tonelli [F3] and show integrates to one. For , the Gaussian formula gives for every , hence . Applying [F2] inside the convolution and then [F3] gives and therefore . These inequalities remain valid if one of the pointwise nonnegative integrals is infinite.
Apply [F2] to the time integral in step 2.1 with weights . Since , it gives . Divide by , integrate and use [F3] and step 2.2. The result is . In particular all these weighted integrals are finite.
For , the function has value zero at and derivative , so and . For , has value zero at and derivative ; replacing by gives also for . With , this yields . At , use the conventions , for which both inequalities hold. Apply these pointwise bounds to and integrate against . Since integrate to one, [F4] identifies the first integral as KL; its negative part is integrable because . Both requested logarithmic quantities are at most the chi-square integral from step 3.1. Taking proves the Statement.
Depends on
- A positive-variance normal law has its location-scale density
- Cauchy-Schwarz inequality for $L^2$
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Kullback–Leibler divergence
- The Axiom of Choice
- Differentiation under the integral sign
- If $u,v$ are differentiable on $[a,b]$ with $u',v'$ integrable, then $\int_a^b u v' = u(b)v(b)-u(a)v(a) - \int_a^b u'v$
- The second fundamental theorem: if $G$ is differentiable on $[a,b]$ with $G' = f$ and $f$ is integrable, then $\int_a^b f = G(b)-G(a)$
- The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t
- Dominated convergence
Used by
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Sources
- Ghosal and van der Vaart, Posterior convergence rates of Dirichlet mixtures at smooth densities (2007), Section 9 and Lemma 4 (standard reference, not scraped)