Exponential speed of uniform convergence of the cell density toward equilibrium for subcritical mass in a Patlak-Keller-Segel model

TL;DR

This paper proves that in a chemotaxis model, solutions with subcritical mass converge exponentially fast to equilibrium, improving understanding of the dynamics in both classical and higher-dimensional Keller-Segel systems.

Contribution

It establishes the exponential convergence rate for radial solutions in the subcritical mass case for all dimensions, including the classical 2D Keller-Segel system, using a novel Hardy inequality.

Findings

Exponential convergence of solutions toward steady state.

Introduction of a Hardy type inequality related to the system.

Application of gradient flow structure in the analysis.

Abstract

This paper is concerned with a chemotaxis aggregation model for cells, more precisely with a parabolic-elliptic semilinear Patlak-Keller-Segel system in a ball of $\mathbb{R}^N$ for $N\geq 2$. For $N=2$, this system is well known for its critical mass $8\pi$. It has been proved in \cite{Montaru2} that it also exhibits a critical mass phenomenon for $N\geq 3$. The main result of this paper is the exponential speed of uniform convergence of radial solutions toward the unique steady state in the subcritical case for $N\geq 2$. We stress that this covers in particular the classical Keller-Segel system with $N=2$, and that the result improves on the known results even for this most studied problem. A key tool is an associated one-dimensional degenerate parabolic problem $(PDE_m)$ where $m$ is proportional to the total mass of cells. The proof exploits its formal gradient flow structure $u_t=-\nabla \mathcal{F}[u(t)]$ on an "infinite dimensional Riemannian manifold". In particular, we show a new Hardy type inequality, equivalent to the strict convexity of $\mathcal{F}$ at any steady state of subcritical mass, which heuristically explains the exponential speed of convergence.