On nonlinear Markov processes in the sense of McKean
Marco Rehmeier, Michael R\"ockner

TL;DR
This paper establishes conditions under which solutions to certain McKean-Vlasov SDEs with measurable, possibly discontinuous coefficients form nonlinear Markov processes, linking these processes to solutions of nonlinear PDEs like Burgers and porous media equations.
Contribution
It generalizes the nonlinear Markov property to include processes with singular measure-dependent coefficients and connects them to nonlinear PDEs without requiring PDE well-posedness.
Findings
Identifies checkable conditions for nonlinear Markov property in McKean-Vlasov SDEs.
Establishes a correspondence between nonlinear PDE solutions and nonlinear Markov processes.
Includes PDEs with measure-dependent coefficients that are not necessarily well-posed.
Abstract
We study nonlinear time-inhomogeneous Markov processes in the sense of McKean's seminal work [32]. These are given as families of laws , , on path space, where runs through a set of admissible initial probability measures on . In this paper, we concentrate on the case where every is given as the path law of a solution to a McKean-Vlasov SDE, where the latter is allowed to have merely measurable coefficients, which in particular are not necessarily weakly continuous in the measure variable. Our main result is the identification of general and checkable conditions on such general McKean-Vlasov SDEs, which imply that the path laws of their solutions form a nonlinear Markov process. Our notion of nonlinear Markov property is in McKean's spirit, but more general in order to include processes whose one-dimensional…
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Taxonomy
TopicsStochastic processes and financial applications
