Boundedness criteria for a chemotaxis consumption model with gradient nonlinearities

Fuente: arXiv
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Main Author: Columbu, Alessandro
Format: Preprint
Published: 2024
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author Columbu, Alessandro
author_facet Columbu, Alessandro
contents This work deals with the consumption chemotaxis problem \begin{equation*} \begin{cases*} u_t = Δu - χ\nabla \cdot u\nabla v + λu - μu^2 - c \lvert \nabla u \rvert^γ, & \text{in $Ω\times(0,\tmax)$}, v_t = Δv - uv, & \text{in $Ω\times(0,\tmax)$}, \end{cases*} \end{equation*} in a bounded and smooth domain $Ω\subset\R^n$, $n\geq 3$, under Neumann boundary conditions, for $χ,λ,μ,c>0$, $\tmax\in(0,\infty]$ and for $u_0,v_0$ positive initial data with a certain regularity. We will show that the problem has a unique and uniformly bounded classical solution for $γ\in\bigl(\frac{2n}{n+1},2\bigr]$. Moreover, we have the same result for $γ=\frac{2n}{n+1}$ and a condition that involves the parameters $c,μ,n,χ$ and the initial data.
format Preprint
id arxiv_https___arxiv_org_abs_2408_14250
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Boundedness criteria for a chemotaxis consumption model with gradient nonlinearities
Columbu, Alessandro
Analysis of PDEs
This work deals with the consumption chemotaxis problem \begin{equation*} \begin{cases*} u_t = Δu - χ\nabla \cdot u\nabla v + λu - μu^2 - c \lvert \nabla u \rvert^γ, & \text{in $Ω\times(0,\tmax)$}, v_t = Δv - uv, & \text{in $Ω\times(0,\tmax)$}, \end{cases*} \end{equation*} in a bounded and smooth domain $Ω\subset\R^n$, $n\geq 3$, under Neumann boundary conditions, for $χ,λ,μ,c>0$, $\tmax\in(0,\infty]$ and for $u_0,v_0$ positive initial data with a certain regularity. We will show that the problem has a unique and uniformly bounded classical solution for $γ\in\bigl(\frac{2n}{n+1},2\bigr]$. Moreover, we have the same result for $γ=\frac{2n}{n+1}$ and a condition that involves the parameters $c,μ,n,χ$ and the initial data.
title Boundedness criteria for a chemotaxis consumption model with gradient nonlinearities
topic Analysis of PDEs
url https://arxiv.org/abs/2408.14250