A stochastic Keller-Segel model of chemotaxis

被引:37
|
作者
Chavanis, Pierre-Henri [1 ]
机构
[1] Univ Toulouse 3, Phys Theor Lab, CNRS, UMR 5152, F-31062 Toulouse 4, France
关键词
Chemotaxis; Self-organization; Nonlinear dynamics; Fluctuations; Stochastic processes; Long-range interactions; LONG-RANGE INTERACTIONS; GRAVITATING BROWNIAN PARTICLES; BACTERIAL RANDOM MOTILITY; FOKKER-PLANCK EQUATIONS; PATTERN-FORMATION; KINETIC-EQUATIONS; DIMENSIONS; SYSTEMS; AGGREGATION; DERIVATION;
D O I
10.1016/j.cnsns.2008.09.002
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We introduce stochastic models of chemotaxis generalizing the deterministic Keller-Segel model. These models include fluctuations which are important in systems with small particle numbers or close to a critical point. Following Dean's approach, we derive the exact kinetic equation satisfied by the density distribution of cells. In the mean field limit where statistical correlations between cells are neglected, we recover the Keller-Segel model governing the smooth density field. We also consider hydrodynamic and kinetic models of chemotaxis that take into account the inertia of the particles and lead to a delay in the adjustment of the velocity of cells with the chemotactic gradient. We make the connection with the Cattaneo model of chemotaxis and the telegraph equation. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:60 / 70
页数:11
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