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Borell–Sudakov–Tsirelson expansion for a Banach Gaussian law
Statement
Assume AC and countable choice. Let be a centered tight Borel Gaussian law on a real separable Banach space , with covariance RKHS and unit ball . For every Borel set and , where is the inner measure and , . When is Borel, its inner measure equals its ordinary -measure.
Facts & Assumptions
AC and countable choice are assumed by the finite-dimensional Gaussian and countable-cylinder interfaces (The Axiom of Choice, The Axiom of Countable Choice ()).
Under AC, the real dominated-extension theorem supplies HB for the Hahn–Banach dual-norming interface (Hahn-Banach dominated extension theorem for real vector spaces, The real dominated-extension principle as an additional hypothesis over ZF).
For Borel and , Gaussian inner measure satisfies (Finite-dimensional Gaussian isoperimetric expansion). This supplier proves the sharp finite-dimensional expansion locally.
The covariance RKHS is a Hilbert space continuously and injectively embedded in , with (Covariance operator and reproducing-kernel Hilbert space of a Banach Gaussian, The Banach Gaussian covariance and RKHS construction is well-defined).
The Hilbert unit ball is compact in the Banach norm (The Cameron–Martin unit ball is compact in the Banach norm).
Borel probabilities on Polish spaces are inner regular (Assuming countable choice, Borel probability measures on Polish spaces are inner regular).
A separable metric space has a countable base, and countable choice selects one cover member for each relevant basis element (Separability: the existence of an at most countable dense subset, The Axiom of Countable Choice ()).
Probability is continuous from above on decreasing measurable sets (Continuity from above when one set has finite measure).
Under HB, distinct points in a normed space are separated by a continuous linear functional (Relative dual norming, point separation, and recovery of the norm).
Proof
Given: AC, countable choice, a centered tight Borel Gaussian law on a real separable Banach space , its covariance RKHS , and .
First let be a closed finite-coordinate cylinder, with continuous and closed. Let , choose an orthonormal basis , and choose representatives for . Set and . The vector of coefficients is standard Gaussian on because its covariance matrix is the identity. For each , ; by the covariance quotient and [F2], the residual has variance . Hence almost surely. The map is injective: if , then for every , and these classes span , so .
Now let be Borel with , and fix . By [F4] choose compact with . For each and , [F7] gives with . The open sets cover ; compactness gives a finite subcover . For every , some has , which forces . Thus the finite coordinate map satisfies . The cylinder is closed, contains , and excludes , since is compact. The open complements cover . By [F5] this cover has a countable subcover: for every basis element meeting and contained in a cover member, countable choice selects one such member; every point is covered by one selected member. If the subcover is finite, repeat one member to index it by .
If , then almost surely, so is zero or one; the endpoint convention, , and inner regularity [F4] give the claimed inequality. If , define . It is closed and . For , is closed because its second summand is compact. Thus [F4] identifies its inner and ordinary Gaussian measures, and [F1] gives . Let , a closed finite-coordinate cylinder because is a linear isomorphism from finite-dimensional onto the closed subspace ; injectivity of and give . If , write with and . Then , so and . Hence , and inner regularity [F4] gives .
Let for the countable subcover in step 1.2. Each is a closed finite-coordinate cylinder because it is a finite intersection of such cylinders; the sequence decreases, , and . Applying step 2.1 yields . The set is closed: if converges with and , compactness [F3] gives a convergent subsequence of , after which closedness of gives a limit representation. Thus [F4] gives equality of its inner and ordinary measures.
The closed sets decrease and their intersection is . Indeed, if with and for every , compactness [F3] gives a subsequence ; then , and for each fixed the tail belongs to the closed set , so . The reverse inclusion is immediate. Continuity from above [F6] gives . Since , . Letting proves the interior-probability case. If the right side is zero; if , inner regularity [F4] and give .
Depends on
- Finite-dimensional Gaussian isoperimetric expansion
- Covariance operator and reproducing-kernel Hilbert space of a Banach Gaussian
- The Banach Gaussian covariance and RKHS construction is well-defined
- The Cameron–Martin unit ball is compact in the Banach norm
- Assuming countable choice, Borel probability measures on Polish spaces are inner regular
- Continuity from above when one set has finite measure
- The Axiom of Choice
- Separability: the existence of an at most countable dense subset
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Hahn-Banach dominated extension theorem for real vector spaces
- The real dominated-extension principle as an additional hypothesis over ZF
- Relative dual norming, point separation, and recovery of the norm
Used by
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Sources
- C. Borell, The Brunn–Minkowski inequality in Gauss space (1975) (standard reference, not scraped)
- M. Hairer, An Introduction to Stochastic PDEs (standard reference, not scraped)