2018/05/22 by Paul Gassiat, Benjamin Gess, Gassiat, Paul +5
Mathematics · #Analysis of PDEs (math.AP) #FOS: Mathematics #Probability (math.PR) #math.AP #math.PR
paper · pdf · doi:10.48550/arxiv.1805.08477
arxiv created 2019/06/25 · arxiv updated 2019/06/26
We show that the initial value problem for Hamilton-Jacobi equations with multiplicative rough time dependence, typically stochastic, and convex Hamiltonians satisfies finite speed of propagation. We prove that in general the range of dependence is bounded by a multiple of the length of the "skeleton" of the path, that is a piecewise linear path obtained by connecting the successive extrema of the original one. When the driving path is a Brownian motion, we prove that its skeleton has almost surely finite length. We also discuss the optimality of the estimate.