Penalty sublevel sets of the Gibbs entropy pair are closed and bounded in the noise Wasserstein space, and the squared distance to the Gaussian reference measure is bounded by an affine function of the penalty.
In the setting of A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation, so that the reference measure is , let be an admissible cylindrical potential, let be a constant as in Admissible Cylindrical Potentials on a Hilbert Space in the Noise Geometry §below, let and be positive real numbers with for every , and let be the Gibbs entropy pair with potential and temperature , whose hypothesis holds with this ; it is a noise penalty pair on by The Gibbs Entropy Pair is a Noise Penalty Pair, with Nonnegative Penalty and Dense Score Domain §pair. is the normaliser of the Gibbs measure of at temperature , is the natural logarithm, as in Relative Entropy of Probability Measures §relative-entropy, and is the noise Wasserstein distance. Noise-closedness is read in the metric space of The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §metric; the real number quantified as in Noise-Closed Noise Penalty Pairs §noise-closed is a bound variable there, distinct from the variance sequence . For the number is defined by The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §connected, since by The Gibbs Entropy Pair on the Noise Wasserstein Space: Relative Entropy to the Gibbs Measure and the Gibbs Score Field §penalty-domain and by The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §reference.
1. (Noise-closed) The pair is noise-closed.
2. (Growth) For every ,
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