For a bounded, uniformly continuous running cost, the Hamilton-Jacobi equation with Gaussian score drift on laws of finite relative entropy with respect to a diagonal Gaussian measure satisfies comparison and has exactly one bounded viscosity solution.
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 and be positive real numbers with for every , and let be the Gaussian entropy pair with temperature , whose hypothesis holds with this ; it is a noise penalty pair on by The Gaussian Entropy Pair is a Noise Penalty Pair, with Nonnegative Penalty and Dense Score Domain §pair, and is the set of measures of finite relative entropy with respect to , by The Gaussian Entropy Pair on the Noise Wasserstein Space: Relative Entropy and the Noise Score Field §penalty-domain. Let denote the absolute value of . Let satisfy and , and let be bounded and uniformly continuous on , relative to 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 and with carrying the metric of The Absolute Value Metric on the Real Line. Fix with and for every ; such a exists, since if bounds on as in Bounded Real-Valued Function on a Set, the larger of and serves. Viscosity subsolutions, supersolutions and solutions are those of the Hamilton-Jacobi equation with Gaussian score drift relative to with temperature , discount , control cost and running cost .
1. (Comparison) Let and satisfy and for every , let be a viscosity subsolution and a viscosity supersolution. Then for every .
2. (Existence) There is a viscosity solution with, denoting the multiplicative inverse of ,
3. (Uniqueness) Let be viscosity solutions, each bounded. Then for every . Consequently, together with claim 2, the equation has exactly one bounded viscosity solution .
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