activity
20022026
most citedOn the relation between gradient flows and the large-deviation principle, with applications to Markov chains and diffusion

125 citations · 859 across the 68 of their papers we have counts for

collaborators

74 papers

math.DS2026

Why does entropy drive evolution equations?

Mark A. Peletier

`Entropy' appears as driving force in many different evolution equations, both deterministic and stochastic, and in these equations this `entropy' also takes different forms. We sh…

math.AP2025

Nonlinear diffusion limit of non-local interactions on a sphere

Mark A. Peletier, Anna Shalova

We study an aggregation PDE with competing attractive and repulsive forces on a sphere of arbitrary dimension. In particular, we consider the limit of strongly localized repulsion…

math.DS2025

A geometric formulation of GENERIC stochastic differential equations

Mark A. Peletier, Marcello Seri

We propose a coordinate-invariant geometric formulation of the GENERIC stochastic differential equation, unifying reversible Hamiltonian and irreversible dissipative dynamics withi…

math.PR2024

Global existence and mean-field limit for a stochastic interacting particle system of signed Coulomb charges

Patrick van Meurs, Mark A. Peletier, Thomas Slangen

We study a system of stochastic differential equations with singular drift which describes the dynamics of signed particles in two dimensions interacting by the Coulomb potential.…

cs.LG2024

Singular-limit analysis of gradient descent with noise injection

Anna Shalova, André Schlichting, Mark Peletier

We study the limiting dynamics of a large class of noisy gradient descent systems in the overparameterized regime. In this regime the set of global minimizers of the loss is large,…

math-ph2024

Deriving a GENERIC system from a Hamiltonian system

Alexander Mielke, Mark A. Peletier, Johannes Zimmer

We reconsider the fundamental problem of coarse-graining infinite-dimensional Hamiltonian dynamics to obtain a macroscopic system which includes dissipative mechanisms. In particul…