Quantitative analysis and its applications for Keller-Segel type systems

Autor: Ding, Mengyao, Fang, Yuzhou, Zhang, Chao
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: In this paper, we utilize the De Giorgi iteration to quantitatively analyze the upper bound of solutions for Keller-Segel type systems. The refined upper bound estimate presented here has broad applications in determining large time behaviours of weak solutions and improving the regularity for models involving the $p$-Laplace operator. To demonstrate the applicability of our findings, we investigate the asymptotic stability of a chemotaxis model with nonlinear signal production and a chemotaxis-Navier-Stokes model with a logistic source. Additionally, within the context of $p$-Laplacian diffusion, we establish H\"{o}lder continuity for a chemotaxis-haptotaxis model and a chemotaxis-Stokes model.
Databáze: arXiv