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Main Authors: Ding, Mengyao, Fang, Yuzhou, Zhang, Chao
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2406.07982
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author Ding, Mengyao
Fang, Yuzhou
Zhang, Chao
author_facet Ding, Mengyao
Fang, Yuzhou
Zhang, Chao
contents 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 Hölder continuity for a chemotaxis-haptotaxis model and a chemotaxis-Stokes model.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07982
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantitative analysis and its applications for Keller-Segel type systems
Ding, Mengyao
Fang, Yuzhou
Zhang, Chao
Analysis of PDEs
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 Hölder continuity for a chemotaxis-haptotaxis model and a chemotaxis-Stokes model.
title Quantitative analysis and its applications for Keller-Segel type systems
topic Analysis of PDEs
url https://arxiv.org/abs/2406.07982