The aim of this paper is twofold. - In the setting of RCD(K, infinity) metric measure spaces, we derive uniform gradient and Laplacian contraction estimates along solutions of the viscous approximation of the Hamilton-Jacobi equation. We use these estimates to prove that, as the viscosity tends to zero, solutions of this equation converge to the evolution driven by the Hopf-Lax formula, in accordance with the smooth case. - We then use such convergence to study the small-time Large Deviation Principle for both the heat kernel and the Brownian motion: we obtain the expected behavior under the additional assumption that the space is proper. As an application of the latter point, we also discuss the F-convergence of the Schr & ouml;dinger problem to the quadratic optimal transport problem in proper RCD(K, infinity) spaces.
Viscosity Solutions of Hamilton-Jacobi Equation in RCD(K, ∞ ) and to Deviations
Gigli, N;Trevisan, D
2024-01-01
Abstract
The aim of this paper is twofold. - In the setting of RCD(K, infinity) metric measure spaces, we derive uniform gradient and Laplacian contraction estimates along solutions of the viscous approximation of the Hamilton-Jacobi equation. We use these estimates to prove that, as the viscosity tends to zero, solutions of this equation converge to the evolution driven by the Hopf-Lax formula, in accordance with the smooth case. - We then use such convergence to study the small-time Large Deviation Principle for both the heat kernel and the Brownian motion: we obtain the expected behavior under the additional assumption that the space is proper. As an application of the latter point, we also discuss the F-convergence of the Schr & ouml;dinger problem to the quadratic optimal transport problem in proper RCD(K, infinity) spaces.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.