The Flux Limited Keller-Segel System; Properties and Derivation from Kinetic Equations
Beno\^it Perthame (LJLL, MAMBA), Nicolas Vauchelet (LAGA), Zhian Wang, (POLYU)

TL;DR
This paper derives the flux limited Keller-Segel (FLKS) system from kinetic equations, highlighting its properties such as non-blow-up solutions and the existence of traveling pulses, with analysis of steady states and long-term behavior.
Contribution
It provides a general derivation of the FLKS system from kinetic models under a stiffness assumption, extending understanding of its properties and solutions.
Findings
Solutions of FLKS do not blow up in finite or infinite time.
Traveling pulse solutions exist and are consistent with experimental observations.
Existence of radially symmetric steady states and analysis of long-term behavior.
Abstract
The flux limited Keller-Segel (FLKS) system is a macroscopic model describing bacteria motion by chemotaxis which takes into account saturation of the velocity. The hyper-bolic form and some special parabolic forms have been derived from kinetic equations describing the run and tumble process for bacterial motion. The FLKS model also has the advantage that traveling pulse solutions exist as observed experimentally. It has attracted the attention of many authors recently. We design and prove a general derivation of the FLKS departing from a kinetic model under stiffness assumption of the chemotactic response and rescaling the kinetic equation according to this stiffness parameter. Unlike the classical Keller-Segel system, solutions of the FLKS system do not blow-up in finite or infinite time. Then we investigate the existence of radially symmetric steady state and long time behaviour of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Biology Tumor Growth · Gene Regulatory Network Analysis · Microtubule and mitosis dynamics
