Log-Harnack Inequality for Stochastic Differential Equations in Hilbert Spaces and its Consequences
Micahel R\"ockner, Feng-Yu Wang

TL;DR
This paper proves a log-Harnack inequality for stochastic differential equations in Hilbert spaces with non-additive noise, leading to results like the strong Feller property and entropy-cost inequalities for the solution semigroup.
Contribution
It introduces a novel log-Harnack inequality for SDEs in Hilbert spaces with non-additive noise, expanding the understanding of their regularity properties.
Findings
Established a log-Harnack inequality for the semigroup of solutions.
Derived the strong Feller property for the solution semigroup.
Proved entropy-cost inequalities related to the semigroup.
Abstract
A logarithmic type Harnack inequality is established for the semigroup of solutions to a stochastic differential equation in Hilbert spaces with non-additive noise. As applications, the strong Feller property as well as the entropy-cost inequality for the semigroup are derived with respect to the corresponding distance (cost function).
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Taxonomy
TopicsNonlinear Partial Differential Equations · Numerical methods in inverse problems · Stochastic processes and financial applications
