Stiff-response-induced instability for chemotactic bacteria and flux-limited Keller–Segel equation. (25th July 2018)

• Record Type: Journal Article
• Authors: Perthame, Benoît; Yasuda, Shugo
• Is Part Of: Nonlinearity. Volume 31:Number 9(2018:Sep.)
• Page Start: 4065
• Page End: 4089
• Publication Date: 2018-07-25
• Subjects: self-organized pattern formation -- run-and-tumble bacteria -- Monte Carlo simulation -- kinetic transport equation -- chemotaxis; 92C15 -- 70K50; Nonlinear theories -- Periodicals; Mathematical analysis -- Periodicals; Mathematical analysis; Nonlinear theories; Periodicals; 515
• DOI: 10.1088/1361-6544/aac760
• Languages: English
• ISSNs: 0951-7715

Abstract

Abstract: Collective motion of chemotactic bacteria such as Escherichia coli relies, at the individual level, on a continuous reorientation by runs and tumbles. It has been established that the length of run is decided by a stiff response to a temporal sensing of chemical cues along the pathway. We describe a novel mechanism for pattern formation stemming from the stiffness of chemotactic response relying on a kinetic chemotaxis model which includes a recently discovered formalism for the bacterial chemotaxis. We prove instability both for a microscopic description in the space-velocity space and for the macroscopic equation, a flux-limited Keller–Segel equation, which has attracted much attention recently. A remarkable property is that the unstable frequencies remain bounded, as it is the case in Turing instability. Numerical illustrations based on a powerful Monte Carlo method show that the stationary homogeneous state of population density is destabilized and periodic patterns are generated in realistic ranges of parameters. These theoretical developments are in accordance with several biological observations.