Non-uniqueness of nonlinear Markov processes in the sense of McKean associated with parabolic PDEs
Ehsan Abedi, Florian Bechtold, Marco Rehmeier

TL;DR
The paper demonstrates that nonlinear Markov processes associated with certain PDEs are not uniquely determined by their one-dimensional marginals, contrasting with classical Markov processes, and constructs multiple such processes with explicit examples.
Contribution
It introduces a scheme to construct infinitely many nonlinear Markov processes for solutions of nonlinear PDEs, showing non-uniqueness in their one-dimensional marginals and establishing new representations.
Findings
Nonlinear Markov processes are not uniquely determined by their one-dimensional marginals.
Constructed a continuum of nonlinear Markov processes with explicit PDE solutions.
Proved that two-dimensional marginals uniquely determine the process.
Abstract
We derive a general scheme to construct infinitely many probabilistic counterparts for solutions to nonlinear PDEs by recasting the latter as different nonlinear Fokker--Planck equations and by constructing, for each of these equations, a solution to the associated McKean--Vlasov SDE with one-dimensional time marginal densities given by the PDE solution. We utilize this scheme to prove that nonlinear Markov processes in the sense of McKean as introduced by Rehmeier--R\"ockner (J.\,Theor.\,Probab. 38, 60 (2025)) are not uniquely determined by their one-dimensional time marginals. This is in sharp contrast to the case of classical Markov processes, which are uniquely determined by their one-dimensional time marginals. We demonstrate our results by constructing a continuum of nonlinear Markov processes with one-dimensional time marginal densities given by the Barenblatt solutions to the…
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