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A stochastic Keller-Segel model of chemotaxis

机译:趋化性的随机Keller-Segel模型

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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.
机译:我们介绍了趋化性的随机模型,将确定性的Keller-Segel模型进行了概括。这些模型包括波动,这在粒子数较小或接近临界点的系统中很重要。遵循Dean的方法,我们得出了细胞密度分布所满足的精确动力学方程。在忽略单元格之间统计相关性的平均场限制中,我们恢复了控制平滑密度场的Keller-Segel模型。我们还考虑了趋化性的流体力学和动力学模型,该模型考虑了颗粒的惯性并导致细胞趋化性梯度随细胞速度的调整而延迟。我们将其与趋化性的Cattaneo模型和电报方程式联系起来。

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