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20242026
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math.PR2026

Brownian motion in Minkowski normed spaces

Shin-ichi Ohta, Marco Rehmeier, Kohei Suzuki

A Minkowski normed space is the Euclidean space equipped with a (possibly asymmetric) uniformly convex and smooth norm, forming a particular class of Finsler manifolds. We construc…

math.PR2026

Non-uniqueness of nonlinear Markov processes in the sense of McKean associated with parabolic PDEs

Ehsan Abedi, Florian Bechtold, Marco Rehmeier

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 equ…

math.PR2025

The Leibenson process

Viorel Barbu, Sebastian Grube, Marco Rehmeier +1

Consider the Leibenson equation \begin{equation*} \partial_t u = Δ_p u^q, \end{equation*} where for and , which is a simultaneo…

math.PR2024

-Brownian motion and the -Laplacian

Viorel Barbu, Marco Rehmeier, Michael Röckner

In this paper we construct a stochastic process, more precisely, a (nonlinear) Markov process, which is related to the parabolic -Laplace equation in the same way as Brownian mo…

math.PR2024

On nonlinear Markov processes in the sense of McKean

Marco Rehmeier, Michael Röckner

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…

math.PR2024

Remarks on regularization by noise, convex integration and spontaneous stochasticity

Franco Flandoli, Marco Rehmeier

This note is devoted to a discussion of the potential links and differences between three topics: regularization by noise, convex integration, spontaneous stochasticity. All of the…