TheoremBase

The Head Given the Tail is Absolutely Continuous for a Measure with a Density Relative to a Diagonal Gaussian Measure

For a measure with a density relative to a diagonal Gaussian measure, the conditional law of the first n coordinates given the tail is absolutely continuous for almost every tail.

Statement

In the setting of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation, with the maps pnp_{n} and QnQ_{n} of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates, which are Borel by Borel Sets of a Hilbert Space with an Orthonormal Basis: Coordinates, Determination by Finite-Dimensional Projections, and Pairs §continuity, and push-forwards as in Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §pushforward, let cc be a variance sequence with diagonal Gaussian measure γc\gamma_{c}, and let μ∈P(X)\mu\in\mathcal{P}(X) have a density ff with respect to γc\gamma_{c}, a Borel function f:X→Rf:X\to\mathbb{R} with f≥0f\ge0. Let n∈Nn\in\mathbb{N}, let νn=(Qn)#μ\nu_{n}=(Q_{n})_{\#}\mu, and let λ\lambda be a conditional kernel of μ\mu given QnQ_{n}, with λw=λ(w,⋅)\lambda_{w}=\lambda(w,\cdot).

1. (Absolutely continuous heads) There is a set W1∈B(X)W_{1}\in\mathcal{B}(X) with νn(W1)=1\nu_{n}(W_{1})=1 such that, for every w∈W1w\in W_{1}, the probability measure (pn)#λw(p_{n})_{\#}\lambda_{w} on Rn\mathbb{R}^{n} is absolutely continuous.

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