Stochastic functional differential equations driven by Lévy processes and quasi-linear partial integro-differential equations

Abstract

In this article we study a class of stochastic functional differential equations driven by Lévy processes (in particular, $\alpha$-stable processes), and obtain the existence and uniqueness of Markov solutions in small time intervals. This corresponds to the local solvability to a class of quasi-linear partial integro-differential equations. Moreover, in the constant diffusion coefficient case, without any assumptions on the Lévy generator, we also show the existence of a unique maximal weak solution for a class of semi-linear partial integro-differential equation systems under bounded Lipschitz assumptions on the coefficients. Meanwhile, in the nondegenerate case (corresponding to ${\Delta }^{\alpha /2}$ with $\alpha \in (1,2]$), based upon some gradient estimates, the existence of global solutions is established too. In particular, this provides a probabilistic treatment for the nonlinear partial integro-differential equations, such as the multi-dimensional fractal Burgers equations and the fractal scalar conservation law equations.

Published in at http://dx.doi.org/10.1214/12-AAP851 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

References in corpus (2)

• Burgers Turbulence
• Stochastic Lagrangian Particle Approach to Fractal Navier-Stokes Equations

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