Quantitative approximation of a Keller--Segel PDE by a branching moderately interacting particle system and suppression of blow-up
Thomas Cavallazzi, Alexandre Richard, Milica Tomasevic

TL;DR
This paper establishes a quantitative link between a stochastic particle system with branching and the Keller--Segel PDE with logistic damping, showing convergence and suppression of blow-up in certain conditions.
Contribution
It introduces a microscopic particle system model with branching and singular interactions that approximates the Keller--Segel PDE, providing convergence rates and insights into blow-up suppression.
Findings
Empirical measure of particles converges to the PDE solution at rate N^{-1/(2(d+1))}.
The model demonstrates suppression of finite-time blow-up under certain damping conditions.
Provides a stochastic particle framework for analyzing chemotaxis models with logistic damping.
Abstract
The Keller--Segel PDE is a model for chemotaxis known to exhibit possible finite-time blow-up. Following a seminal work by Tello and Winkler, a logistic damping term is added in this PDE and local well-posedness of mild solutions is proven. When the space dimension is or when the damping is strong enough, the solution is global in time. In the second part of this work, a microscopic description of this model is introduced in terms of a system of stochastic moderately interacting particles. This system features two main characteristics: the interaction between particles happens through a singular (Coulomb-type) kernel which is attractive; and the particles are subject to demographic events, birth and death due to local competition with other particles. The latter induces a branching structure of the particle system. Then the main result of this work is the convergence of the…
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Taxonomy
TopicsMathematical Biology Tumor Growth · Gas Dynamics and Kinetic Theory · Gene Regulatory Network Analysis
