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相关论文: An asymptotic preserving scheme for kinetic models…

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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…

数值分析 · 数学 2011-10-18 Jose A. Carrillo , Bokai Yan

We present an asymptotic preserving scheme based on a micro-macro decomposition for stochastic linear transport equations in kinetic and diffusive regimes. We perfom a mathematical analysis and prove that the scheme is uniformly stable with…

数值分析 · 数学 2018-03-19 Nathalie Ayi , Erwan Faou

In this work we first prove, by formal arguments, that the diffusion limit of nonlinear kinetic equations, where both the transport term and the turning operator are density-dependent, leads to volume-exclusion chemotactic equations. We…

偏微分方程分析 · 数学 2022-11-04 Gissell Estrada-Rodriguez , Diane Peurichard , Xinran Ruan

We propose a new class of asymptotic preserving schemes to solve kinetic equations with mono-kinetic singular limit. The main idea to deal with the singularity is to transform the equations by appropriate scalings in velocity. In…

数值分析 · 数学 2017-06-30 Alina Chertock , Changhui Tan , Bokai Yan

In this paper we consider kinetic and associated macroscopic models for chemotaxis on a network. Coupling conditions at the nodes of the network for the kinetic problem are presented and used to derive coupling conditions for the…

偏微分方程分析 · 数学 2015-12-29 Raul Borsche , Axel Klar , Ha T. N. Pham

In this paper, we develop a stochastic Asymptotic-Preserving (sAP) scheme for the kinetic chemotaxis system with random inputs, which will converge to the modified Keller-Segel model with random inputs in the diffusive regime. Based on the…

数值分析 · 数学 2017-10-17 Shi Jin , Hanqing Lu , Lorenzo Pareschi

We construct numerical schemes to solve kinetic equations with anomalous diffusion scaling. When the equilibrium is heavy-tailed or when the collision frequency degenerates for small velocities, an appropriate scaling should be made and the…

数值分析 · 数学 2015-05-14 Nicolas Crouseilles , Hélène Hivert , Mohammed Lemou

Chemotaxis describes the intricate interplay of cellular motion in response to a chemical signal. We here consider the case of slab geometry which models chemotactic motion between two infinite membranes. Like previous works, we are…

偏微分方程分析 · 数学 2026-01-16 Herbert Egger , Kathrin Hellmuth , Nora Philippi , Matthias Schlottbom

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…

统计力学 · 物理学 2009-09-01 Pierre-Henri Chavanis

In this paper, we develop a family of high order asymptotic preserving schemes for some discrete-velocity kinetic equations under a diffusive scaling, that in the asymptotic limit lead to macroscopic models such as the heat equation, the…

数值分析 · 数学 2013-06-04 Juhi Jang , Fengyan Li , Jing-Mei Qiu , Tao Xiong

We investigate the numerical discretization of a two-stream kinetic system with an internal state, such system has been introduced to model the motion of cells by chemotaxis. This internal state models the intracellular methylation level.…

偏微分方程分析 · 数学 2020-06-11 Nicolas Vauchelet , Shugo Yasuda

We present a mathematical analysis of the asymptotic preserving scheme proposed in [M. Lemou and L. Mieussens, SIAM J. Sci. Comput., 31, pp. 334-368, 2008] for linear transport equations in kinetic and diffusive regimes. We prove that the…

数值分析 · 数学 2009-10-06 Jian-Guo Liu , Luc Mieussens

The Keller-Segel system describes the collective motion of cells that are attracted by a chemical substance and are able to emit it. In its simplest form, it is a conservative drift-diffusion equation for the cell density coupled to an…

偏微分方程分析 · 数学 2010-10-29 Adrien Blanchet , Jean Dolbeault , Miguel Escobedo , Javier Fernández

We consider coupled models for particulate flows, where the disperse phase is made of particles with distinct sizes. We are thus led to a system coupling the incompressible Navier-Stokes equations to the multi-component Vlasov-Fokker-Planck…

数值分析 · 数学 2022-12-20 Shi Jin , Yiwen Lin

We present a positive and asymptotic preserving numerical scheme for solving linear kinetic, transport equations that relax to a diffusive equation in the limit of infinite scattering. The proposed scheme is developed using a standard…

数值分析 · 数学 2018-07-18 M. Paul Laiu , Martin Frank , Cory D. Hauck

In this paper we design, analyze and simulate a finite volume scheme for a cross-diffusion system which models chemotaxis with local sensing. This system has the same Lyapunov function (or entropy) as the celebrated minimal Keller-Segel…

数值分析 · 数学 2025-10-07 Maxime Herda , Ariane Trescases , Antoine Zurek

In this work, we derive particle schemes, based on micro-macro decomposition, for linear kinetic equations in the diffusion limit. Due to the particle approximation of the micro part, a splitting between the transport and the collision part…

数值分析 · 数学 2017-01-19 Anaïs Crestetto , Nicolas Crouseilles , Mohammed Lemou

We propose a multilevel Monte Carlo method for a particle-based asymptotic-preserving scheme for kinetic equations. Kinetic equations model transport and collision of particles in a position-velocity phase-space. With a diffusive scaling,…

数值分析 · 数学 2020-05-21 Emil Løvbak , Giovanni Samaey , Stefan Vandewalle

We introduce a numerical scheme to approximate a quasi-linear hyperbolic system which models the movement of cells under the influence of chemotaxis. Since we expect to find solutions which contain vacuum parts, we propose an upwinding…

数值分析 · 数学 2012-11-19 Roberto Natalini , Magali Ribot , Monika Twarogowska

Chemotaxis phenomena govern the directed movement of micro-organisms in response to chemical stimuli. In this paper, we investigate two Keller--Segel systems of reaction-advection-diffusion equations modeling chemotaxis on thin networks.…

偏微分方程分析 · 数学 2024-04-02 Hewan Shemtaga , Wenxian Shen , Selim Sukhtaiev
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