Large time behavior in the logistic Keller-Segel model via maximal Sobolev regularity

By Xinru Cao. 2017

65 citations recorded by the source corpus.

The fully parabolic Keller-Segel system with logistic source \begin{document}$\begin{equation} \left\{ \begin{array}{llc} \displaystyle u_t=\Delta u-\chi\nabla\cdot(u\nabla v)+\kappa u-\mu u^2, &(x,t)\in \Omega\times (0,T),\\ \displaystyle \tau v_t=\Delta v-v+u, &(x,t)\in\Omega\times (0,T), \end{array} \right.(\star) \end{equation}$\end{document} is considered in a bounded domain $\Omega\subset\mathbb{R}^N$ ($N≥ 1$) under Neumann boundary conditions, where $κ∈\mathbb{R}$, $μ>0$, $χ>0$ and $τ>0$. It is shown that if the ratio $\frac{χ}{μ}$ is sufficiently small, then any global classical solution $(u, v)$ converges to the spatially homogenous steady state $(\frac{κ_+}{μ}, \frac{κ_+}{μ})$ in the large time limit. Here we use an approach based on maximal Sobolev regularity and thus remove the restrictions $τ=1$ and the convexity of $\Omega$ required in [ 17 ].

Subfields: Cell Biology, Modeling and Simulation, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ea3f9948f74e749f06f4e293fd7e1a2f6e6106d0

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In Cell Biology

  1. Michael Winkler
  2. Tian Xiang
  3. Johannes Lankeit
  4. Youshan Tao
  5. Xinru Cao
  6. Giuseppe Viglialoro
  7. Zhaoyin Xiang
  8. Chunhua Jin

In Modeling and Simulation

  1. Michael Winkler
  2. Johannes Lankeit
  3. Tian Xiang
  4. Youshan Tao
  5. Xinru Cao
  6. Mario Fuest
  7. Tobias Black
  8. Giuseppe Viglialoro

In Molecular Biology

  1. Michael Winkler
  2. Johannes Lankeit
  3. Tian Xiang
  4. Youshan Tao
  5. Xinru Cao
  6. Giuseppe Viglialoro
  7. Mario Fuest
  8. Genglin Li

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