Quantitative relative entropy estimates on the whole space for convolution interaction forces

P Nikolaev, DJ Prömel - arxiv preprint arxiv:2401.08938, 2024 - arxiv.org
Quantitative estimates are derived, on the whole space, for the relative entropy between the
joint law of random interacting particles and the tensorized law at the limiting systeme. The …

Propagation of chaos for multi-species moderately interacting particle systems up to Newtonian singularity

JA Carrillo, S Guo, A Holzinger - arxiv preprint arxiv:2501.03087, 2025 - arxiv.org
We derive a class of multi-species aggregation-diffusion systems from stochastic interacting
particle systems via relative entropy method with quantitative bounds. We show an algebraic …

Quantitative Propagation of Chaos for Singular Interacting Particle Systems Driven by Fractional Brownian Motion

L Galeati, K Lê, A Mayorcas - arxiv preprint arxiv:2403.05454, 2024 - arxiv.org
We consider interacting systems particle driven by iid fractional Brownian motions, subject to
irregular, possibly distributional, pairwise interactions. We show propagation of chaos and …

The rigorous derivation of Vlasov equations with local alignments from moderately interacting particle systems

J Wang, M Zhuang, H Huang - arxiv preprint arxiv:2407.04387, 2024 - arxiv.org
In this paper, we present a rigorous derivation of the mean-field limit for a moderately
interacting particle system in $\R^ d $$(d\geq 2) $. For stochastic initial data, we …

Mean Field Limit for Stochastic Particle Systems with and Without Common Noise: Analysis of Singular Interactions

P Nikolaev - 2024 - search.proquest.com
In this thesis, we explore mean-field limit theory, focusing on the derivation of non-linear
(stochastic) partial differential equations from large systems of interacting stochastic …

Mean field limit for stochastic particle systems with and without common noise

P Nikolaev - 2024 - madoc.bib.uni-mannheim.de
In this thesis, we explore mean-field limit theory, focusing on the derivation of nonlinear
(stochastic) partial differential equations from large systems of interacting stochastic …