Global dynamics in a higher-dimensional repulsion chemotaxis model with nonlinear sensitivity

By Youshan Tao. 2013

61 citations recorded by the source corpus.

This paper deals with the repulsion chemotaxis system $$ \left\{ \begin{array}{ll} u_t=\Delta u +\nabla \cdot (f(u)\nabla v), & x\in\Omega, \ t>0, \\ v_t=\Delta v +u-v, & x\in\Omega, \ t>0, \end{array} \right. $$ under homogeneous Neumann boundary conditions in a smooth bounded convex domain $\Omega\subset\mathbb{R}^n$ with $n\ge 3$, where $f(u)$ is the density-dependent chemotactic sensitivity function satisfying $$ f \in C^2([0, \infty)),  f(0)=0, 0 0 $$ with some $K>0$ and $\alpha>0$. It is proved that under the assumptions that $0\not\equiv u_0\in C^0(\bar{\Omega})$ and $v_0\in C^1(\bar{\Omega})$ are nonnegative and that $\alpha<\frac{4}{n+2}$, the classical solutions to the above system are uniformly-in-time bounded. Moreover, it is shown that for any given $(u_0, v_0)$, the corresponding solution $(u, v)$ converges to $(\bar{u}_0, \bar{u}_0)$ as time goes to infinity, where $\bar{u}_0 :=\frac{1}{\Omega} f_{\Omega} u_0$.

Subfields: Cell Biology, Modeling and Simulation, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/a6ec10464f165222b2294bd39827f93f64b79aaa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cell Biology

  1. Michael Winkler
  2. Jiashan Zheng
  3. Youshan Tao
  4. Dongmei Liu
  5. Johannes Lankeit
  6. Tian Xiang
  7. Chunhua Jin
  8. Hai-yang Jin

In Modeling and Simulation

  1. Michael Winkler
  2. Jiashan Zheng
  3. Youshan Tao
  4. Dongmei Liu
  5. Johannes Lankeit
  6. Tian Xiang
  7. Chunhua Jin
  8. Zhian Wang

In Molecular Biology

  1. Michael Winkler
  2. Jiashan Zheng
  3. Youshan Tao
  4. Dongmei Liu
  5. Johannes Lankeit
  6. Tian Xiang
  7. Chunhua Jin
  8. Zhian Wang

Citations in the corpus