On Nonlinear Markov Processes in the Sense of McKean

Marco Rehmeier () and Michael Röckner ()
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Marco Rehmeier: Bielefeld University
Michael Röckner: Bielefeld University

Journal of Theoretical Probability, 2025, vol. 38, issue 3, 1-36

Abstract: Abstract We study nonlinear time-inhomogeneous Markov processes in the sense of McKean’s (Proc Natl Acad Sci USA 56(6):1907–1911, 1966) seminal work. These are given as families of laws $$\mathbb {P}_{s,\zeta }$$ P s , ζ , $$s\ge 0$$ s ≥ 0 , on path space, where $$\zeta $$ ζ runs through a set of admissible initial probability measures on $$\mathbb {R}^d$$ R d . In this paper, we concentrate on the case where every $$\mathbb {P}_{s,\zeta }$$ P s , ζ is given as the path law of a solution to a McKean–Vlasov stochastic differential equation (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 time marginal densities solve a nonlinear parabolic partial differential equation, more precisely, a nonlinear Fokker–Planck–Kolmogorov equation, such as Burgers’ equation, the porous media equation and variants thereof with transport-type drift, and also the very recently studied two-dimensional vorticity Navier–Stokes equation and the p-Laplace equation. In all these cases, the associated McKean–Vlasov SDEs are such that both their diffusion and drift coefficients singularly depend (i.e., Nemytskii type) on the one-dimensional time marginals of their solutions. We stress that for our main result the nonlinear Fokker–Planck–Kolmogorov equations do not have to be well posed. Thus, we establish a one-to-one correspondence between solution flows of a large class of nonlinear parabolic PDEs and nonlinear Markov processes.

Keywords: Nonlinear Fokker–Planck–Kolmogorov equation; McKean–Vlasov stochastic differential equation; Nonlinear Markov process; Porous media equation; Flow selection; Extremality; Primary 60H30; 35Q84; 35K55; 60J25; Secondary 60J45; 60J60 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10959-025-01428-7

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