Relative to a diagonal Gaussian measure on a Hilbert space, finite relative entropy implies finite second moment with a linear bound, the entropy is the limit of the entropies of the finite-dimensional cutoffs, and entropy sublevel sets are bounded, tight, weakly closed, Wasserstein-closed and weakly sequentially compact.
In the setting of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation, with the coordinate maps , push-forwards, weak convergence and tightness as in Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates, Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §pushforward and Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §weak, let be a variance sequence with truncations and diagonal Gaussian measures on , and let be the diagonal Gaussian measure on with variances , so that for every by that definition. Let be the sum of the series , which converges by Variance Sequences and Their Truncations §variances; is a positive real number, since by Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §dominates. Finite relative entropy and are those of that definition on the measurable spaces and ; and are the set and the second moment of The Second Moment of a Borel Probability Measure on a Hilbert Space and the Probability Measures with Finite Second Moment §space and The Second Moment of a Borel Probability Measure on a Hilbert Space and the Probability Measures with Finite Second Moment §moment, and is the Wasserstein distance on . For let be the set of the that have finite relative entropy with respect to and satisfy .
1. (Moment bound) Let have finite relative entropy with respect to . Then and
2. (Bounded sublevel sets) Let . Then , and for every .
3. (Cutoffs) Let and for . Then has finite relative entropy with respect to if and only if there is such that for every the measure has finite relative entropy with respect to and ; in that case the sequence is nondecreasing and converges to .
4. (Tight sublevel sets) For every the set is tight.
5. (Weakly closed sublevel sets) Let , let be a sequence in , and let satisfy . Then .
6. (Wasserstein-closed sublevel sets) Let , let be a sequence in , a subset of by claim 2, and let satisfy as . Then .
7. (Weak sequential compactness) Let . Every sequence in has a subsequence that converges weakly to an element of .
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