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A nonlinear model for long-range segregation

Howen Chuah, Stefania Patrizi, Monica Torres

Abstract

We study a system of fully nonlinear elliptic equations, depending on a small parameter $\eps$, that models long-range segregation of populations. The diffusion is governed by the negative Pucci operator. In the linear case, this system was previously investigated by Caffarelli, the second author, and Quitalo in \cite{CL2} as a model in population dynamics. We establish the existence of solutions and prove convergence as $\eps\to0^+$ to a free boundary problem in which populations remain segregated at a positive distance. In addition, we show that the supports of the limiting functions are sets of finite perimeter and satisfy a semi-convexity property.

A nonlinear model for long-range segregation

Abstract

We study a system of fully nonlinear elliptic equations, depending on a small parameter , that models long-range segregation of populations. The diffusion is governed by the negative Pucci operator. In the linear case, this system was previously investigated by Caffarelli, the second author, and Quitalo in \cite{CL2} as a model in population dynamics. We establish the existence of solutions and prove convergence as to a free boundary problem in which populations remain segregated at a positive distance. In addition, we show that the supports of the limiting functions are sets of finite perimeter and satisfy a semi-convexity property.

Paper Structure

This paper contains 15 sections, 22 theorems, 101 equations.

Key Result

Theorem 1.1

Let $\Omega$ be a bounded Lipschitz domain of $\mathbb{R}^n$. Assume fiassumption holds true. Then for any $\varepsilon > 0$, and $0<R\leq 1$, there exist positive functions $u^{\varepsilon}_1,\ldots, u^{\varepsilon}_K\in C^{\alpha}(\overline{\Omega})\cap C_{loc}^{2,\alpha}(\Omega)$, for some $0<\

Theorems & Definitions (29)

  • Theorem 1.1: Existence of Solutions
  • Theorem 1.2: Limit Problem
  • Theorem 1.3: A Semiconvexity Property of the Free Boundary
  • Theorem 1.4
  • Lemma 2.1
  • Theorem 2.2
  • Theorem 2.3
  • Theorem 2.4
  • Theorem 2.5: Comparison Principle
  • Theorem 2.6: Minimum Principle
  • ...and 19 more