A variational characterization of Langevin-Smoluchowski diffusions
Abstract
We show that Langevin-Smoluchowski measure on path space is invariant under time-reversal, followed by stochastic control of the drift with a novel entropic-type criterion. Repeated application of these forward-backward steps leads to a sequence of stochastic control problems, whose initial/terminal distributions converge to the Gibbs probability measure of the diffusion, and whose values decrease to zero along the relative entropy of the Langevin-Smoluchowski flow with respect to this Gibbs measure.
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