Energetic characterisation of transient clustering dynamics in aggregation-diffusion systems

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Main Authors: Wehlitz, Nathalie, Scherzer, Richard, Hartmann, Carsten, Winkelmann, Stefanie
Format: Preprint
Published: 2026
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author Wehlitz, Nathalie
Scherzer, Richard
Hartmann, Carsten
Winkelmann, Stefanie
author_facet Wehlitz, Nathalie
Scherzer, Richard
Hartmann, Carsten
Winkelmann, Stefanie
contents We investigate transient clustering dynamics in nonlocal aggregation-diffusion systems from an energetic perspective. Starting from a stochastic interacting particle system, we study the associated macroscopic McKean-Vlasov equation on the torus and exploit its Wasserstein gradient-flow structure to analyse the thermodynamic competition between interaction-driven aggregation and entropy-driven diffusion. Through numerical experiments for locally attractive interaction kernels, we identify alternating aggregation- and diffusion-dominated transient regimes along trajectories converging to fixed equilibria. These dynamics can be interpreted as a form of non-monotone clustering behaviour. Moreover, we demonstrate that clustering observables, such as the density peak height, are only partially coupled to the underlying energetic mechanisms and therefore do not uniquely characterise the relevant macroscopic transport dynamics. Our results highlight the role of the variational structure not only for equilibrium analysis, but also as a framework for understanding transient clustering phenomena in interacting particle systems.
format Preprint
id arxiv_https___arxiv_org_abs_2605_30243
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Energetic characterisation of transient clustering dynamics in aggregation-diffusion systems
Wehlitz, Nathalie
Scherzer, Richard
Hartmann, Carsten
Winkelmann, Stefanie
Dynamical Systems
Probability
82C70, 82C31, 82C22, 60K35, 60H10
We investigate transient clustering dynamics in nonlocal aggregation-diffusion systems from an energetic perspective. Starting from a stochastic interacting particle system, we study the associated macroscopic McKean-Vlasov equation on the torus and exploit its Wasserstein gradient-flow structure to analyse the thermodynamic competition between interaction-driven aggregation and entropy-driven diffusion. Through numerical experiments for locally attractive interaction kernels, we identify alternating aggregation- and diffusion-dominated transient regimes along trajectories converging to fixed equilibria. These dynamics can be interpreted as a form of non-monotone clustering behaviour. Moreover, we demonstrate that clustering observables, such as the density peak height, are only partially coupled to the underlying energetic mechanisms and therefore do not uniquely characterise the relevant macroscopic transport dynamics. Our results highlight the role of the variational structure not only for equilibrium analysis, but also as a framework for understanding transient clustering phenomena in interacting particle systems.
title Energetic characterisation of transient clustering dynamics in aggregation-diffusion systems
topic Dynamical Systems
Probability
82C70, 82C31, 82C22, 60K35, 60H10
url https://arxiv.org/abs/2605.30243