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Unveiling Explicit Patterns: Exact Steady States and Stability in a Confined Chemotaxis Model

Yue Huang, Ling Xue, Kun Zhao, Xiaoming Zheng

TL;DR

This study derives three explicit steady-state solutions for a Keller–Segel–type chemotaxis model on a bounded interval using a Cole–Hopf transform, yielding Power, Trigonometric, and Hyperbolic families with corresponding $\bar{u},\bar{v}$ profiles. It proves nonlinear asymptotic stability under a parameter regime $\mathsf{d}>0$, $\varepsilon>0$, $\chi>0$, $\mu>0$ with small $L^2$ perturbations (and allows partially large derivatives) via energy methods, establishing exponential decay toward the steady states. The authors identify sharp boundary-data constraints ensuring existence and stability, and they provide numerical benchmarks showing convergence to the analytic baselines when these constraints are met, while boundary violations yield qualitatively different patterns. The results offer a rigorous, benchmarkable view of boundary-driven pattern formation in confined chemotaxis and point to future work on multi-domain settings and optimal control in regenerative medicine and oncology.

Abstract

Inspired by Carrillo-Li-Wang's work [Proc. London Math. Soc., 2021] on stationary solutions to the singular Keller-Segel system, this paper presents a novel family of explicit steady-state solutions for the same model on a bounded interval, expressed in terms of trigonometric and hyperbolic functions. Under Dirichlet boundary conditions and within a biologically stable parameter regime, these solutions, including singular types such as secant and cosecant, are rigorously derived and analyzed. Their stability is established via energy methods, yielding precise thresholds for pattern persistence. These results provide valuable benchmarks for numerical validation and offer insights into boundary-driven pattern formation.

Unveiling Explicit Patterns: Exact Steady States and Stability in a Confined Chemotaxis Model

TL;DR

This study derives three explicit steady-state solutions for a Keller–Segel–type chemotaxis model on a bounded interval using a Cole–Hopf transform, yielding Power, Trigonometric, and Hyperbolic families with corresponding profiles. It proves nonlinear asymptotic stability under a parameter regime , , , with small perturbations (and allows partially large derivatives) via energy methods, establishing exponential decay toward the steady states. The authors identify sharp boundary-data constraints ensuring existence and stability, and they provide numerical benchmarks showing convergence to the analytic baselines when these constraints are met, while boundary violations yield qualitatively different patterns. The results offer a rigorous, benchmarkable view of boundary-driven pattern formation in confined chemotaxis and point to future work on multi-domain settings and optimal control in regenerative medicine and oncology.

Abstract

Inspired by Carrillo-Li-Wang's work [Proc. London Math. Soc., 2021] on stationary solutions to the singular Keller-Segel system, this paper presents a novel family of explicit steady-state solutions for the same model on a bounded interval, expressed in terms of trigonometric and hyperbolic functions. Under Dirichlet boundary conditions and within a biologically stable parameter regime, these solutions, including singular types such as secant and cosecant, are rigorously derived and analyzed. Their stability is established via energy methods, yielding precise thresholds for pattern persistence. These results provide valuable benchmarks for numerical validation and offer insights into boundary-driven pattern formation.
Paper Structure (10 sections, 8 theorems, 75 equations, 1 figure, 4 tables)

This paper contains 10 sections, 8 theorems, 75 equations, 1 figure, 4 tables.

Key Result

Proposition 3.1

Let $(\bar{u},\bar{v})$ be any of the steady-state solution constructed in Section 2 and satisfy the constraints specified therein. Let $\lambda \triangleq \frac{4\mathsf{d}-2\chi}{2\mathsf{d}-3\chi}$. Then the quantity specified in x2 is non-negative, provided that the following conditions are sati

Figures (1)

  • Figure 1: Numerical solutions to \ref{['Tmodel']} at $t=2$, with parameters in \ref{['parameters']}, boundary values in Tables \ref{['table-3']}, initial conditions in Table \ref{['table-4']}, and comparison with analytic baselines.

Theorems & Definitions (16)

  • Proposition 3.1
  • proof
  • Theorem 3.2
  • Remark 3.1
  • Remark 3.2
  • Lemma 3.3
  • Lemma 3.4
  • proof
  • Lemma 3.5
  • proof
  • ...and 6 more