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An Asymptotic Preserving Scheme for the Diffusive Limit of Kinetic systems for Chemotaxis

TLDR
In this article, the diffusive limit of run-and-tumble kinetic models for cell motion due to chemotaxis was studied by means of asymptotic preserving schemes.
Abstract
In this work we numerically study the diffusive limit of run & tumble kinetic models for cell motion due to chemotaxis by means of asymptotic preserving schemes. It is well known that the diffusive limit of these models leads to the classical Patlak--Keller--Segel macroscopic model for chemotaxis. We will show that the proposed scheme is able to accurately approximate the solutions before blow-up time for small parameter. Moreover, the numerical results indicate that the global solutions of the kinetic models stabilize for long times to steady states for all the analyzed parameter range. We demonstrate an aggregative behavior from small to a large unique aggregate for the kinetic solutions after the blow-up time in the Patlak--Keller--Segel model. We also generalize these asymptotic preserving schemes to two dimensional kinetic models in the radial case. The blow-up of solutions is numerically investigated in all these cases.

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Asymptotic-Preserving methods and multiscale models for plasma physics

TL;DR: An overview of Asymptotic-Preserving methods for multiscale plasma simulations is provided by addressing three singular perturbation problems, including the quasi-neutral limit of fluid and kinetic models and the drift limit for fluid descriptions of thermal plasmas under large magnetic fields.
Journal ArticleDOI

Positivity-preserving and asymptotic preserving method for 2D Keller-Segal equations

TL;DR: In this paper, a semi-discrete scheme for 2D Keller-Segel equations based on a symmetrization reformation was proposed, which is equivalent to the convex splitting method and is free of any nonlinear solver.
Journal ArticleDOI

Confinement by biased velocity jumps: Aggregation of escherichia coli

TL;DR: Dolbeault et al. as mentioned in this paper investigated a one-dimensional linear kinetic equation derived from a velocity jump process modelling bacterial chemotaxis in presence of an external chemical signal centered at the origin, and proved the existence of a positive equilibrium distribution with an exponential decay at infinity.
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Positivity-preserving and asymptotic preserving method for 2D Keller-Segal equations

TL;DR: A semi-discrete scheme for 2D Keller-Segel equations based on a symmetrization reformation, which is equivalent to the convex splitting method and is free of any nonlinear solver is proposed.
Journal ArticleDOI

Non-local kinetic and macroscopic models for self-organised animal aggregations

TL;DR: In this article, two scaling approaches (parabolic and grazing collision limits) are used to reduce a class of non-local 1D and 2D models for biological aggregations to simpler models existent in the literature.
References
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Journal ArticleDOI

Initiation of slime mold aggregation viewed as an instability.

TL;DR: A mathematical formulation of the general interaction of amoebae, as mediated by acrasin is presented, and a detailed analysis of the aggregation process is provided.
Journal ArticleDOI

Model for Chemotaxis

TL;DR: The chemotactic response of unicellular microscopic organisms is viewed as analogous to Brownian motion, and a macroscopic flux is derived which is proportional to the chemical gradient.
Journal ArticleDOI

Random walk with persistence and external bias

TL;DR: In this paper, the partial differential equation of the random walk problem with persistence of direction and external bias is derived, and applications to the study of diffusion and to long-chain polymers are made.
Book

Transport Equations in Biology

TL;DR: In this paper, the renewal equation is used to describe the structure of a population from a point of view of population balance equations, which is an asymptotic view of the population dynamics.
Journal ArticleDOI

Models of dispersal in biological systems

TL;DR: Two stochastic processes that model the major modes of dispersal that are observed in nature are introduced, and explicit expressions for the mean squared displacement and other experimentally observable quantities are derived.
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