Gradient flows of the entropy for jump processes

Details Gradient flows of the entropy for jump processes Gradient flows of the entropy for jump processes

2012-04-10

arxiv.org/abs/1204.2190v1

Mathematics

Probability

25 pages

Scientific paper

We introduce a new transportation distance between probability measures that is built from a L\'evy jump kernel. It is defined via a non-local variant of the Benamou-Brenier formula. We study geometric and topological properties of this distance, in particular we prove existence of geodesics. For translation invariant jump kernels we identify the semigroup generated by the associated non-local operator as the gradient flow of the relative entropy w.r.t. the new distance and show that the entropy is convex along geodesics.

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