Asymptotic Convergence of Solutions for One-Dimensional Keller-Segel Equations
Satoru Iwasaki, Koichi Osaki, Atsushi Yagi

TL;DR
This paper proves that solutions to the one-dimensional Keller-Segel equations with a linear sensitivity function asymptotically converge to stationary solutions, using the josiewicz-Simon gradient inequality to establish convergence.
Contribution
It demonstrates the asymptotic convergence of solutions for the Keller-Segel equations with a linear sensitivity function, extending previous results on attractors and Lyapunov functions.
Findings
Solutions converge to stationary states as time approaches infinity.
The josiewicz-Simon gradient inequality is used to prove convergence.
Global attractors exist for the equations under study.
Abstract
The second and third authors of this paper have constructed in [14] finite-dimensional attractors for the one-dimensional Keller-Segel equations. They have also remarked in [14, Section 7] that, when the sensitivity function is a linear function, the equations admit a global Lyapunov function. But at that moment they could not show the asymptotic convergence of solutions. This paper is then devoted to supplementing the results of [14, Section 7] by showing that, as , every solution necessarily converges to a stationary solution by using the {\L}ojasiewicz-Simon gradient inequality of the Lyapunov function.
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 · Advanced Mathematical Modeling in Engineering · Cellular Mechanics and Interactions
