Global bounded solutions of the higher-dimensional Keller-Segel system under smallness conditions in optimal spaces

By Xinru Cao. 2014

266 citations recorded by the source corpus.

In this paper, the fully parabolic Keller-Segel system \begin{equation} \left\{ \begin{array}{llc} u_t=\Delta u-\nabla\cdot(u\nabla v), &(x,t)\in \Omega\times (0,T),\\ v_t=\Delta v-v+u, &(x,t)\in\Omega\times (0,T),\\ \end{array} \right. \qquad \qquad (\star) \end{equation} is considered under Neumann boundary conditions in a bounded domain $\Omega\subset\mathbb{R}^n$ with smooth boundary, where $n\ge 2$. We derive a smallness condition on the initial data in optimal Lebesgue spaces which ensure global boundedness and large time convergence. More precisely, we shall show that one can find $\varepsilon_0>0$ such that for all suitably regular initial data $(u_0,v_0)$ satisfying $\|u_0\|_{L^{\frac{n}{2}}(\Omega)}<\varepsilon_0$ and $\|\nabla v_0\|_{L^{n}(\Omega)}<\varepsilon_0$, the above problem possesses a global classical solution which is bounded and approaches the constant steady state $(m,m)$ with $m:=\frac{1}{|\Omega|}\int_{\Omega} u_0$. Our approach allows us to furthermore study a general chemotaxis system with rotational sensitivity in dimension 2, which is lacking the natural energy structure associated with ($\star$). For such systems, we prove a global existence and boundedness result under corresponding smallness conditions on the initially present total mass of cells and the chemical gradient.

Subfields: Modeling and Simulation, Molecular Biology, Oncology

View Paper: https://www.semanticscholar.org/paper/a0e3f54608ac245cfe18f397d319840368a6b67d

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In Modeling and Simulation

  1. Michael Winkler
  2. Youshan Tao
  3. Xinru Cao
  4. Johannes Lankeit
  5. Tian Xiang
  6. Nicola Bellomo
  7. Yulan Wang
  8. Zhaoyin Xiang

In Molecular Biology

  1. Michael Winkler
  2. Youshan Tao
  3. Xinru Cao
  4. Johannes Lankeit
  5. Tian Xiang
  6. Nicola Bellomo
  7. Chunhua Jin
  8. Jiashan Zheng

In Oncology

  1. Michael Winkler
  2. Youshan Tao
  3. Nicola Bellomo
  4. Xinru Cao
  5. Johannes Lankeit
  6. Tian Xiang

Citations in the corpus