Semi-linear evolution equations via positive semigroups
Wolfgang Arendt, Daniel Daners
TL;DR
This work develops a sub- and super-solution framework for semi-linear evolution equations where the linear part is the generator of a positive $C_0$-semigroup and the nonlinearity is quasi-increasing. By constructing a fixed-point map $G$ and monotone iterates, the authors obtain minimal and maximal mild solutions and establish their convergence to equilibria under either order-continuous norm or compactness assumptions, with a detailed comparison principle. The theory is then applied to concrete PDE models including diffusion-augmented logistic growth, Lotka–Volterra competition, and the Fisher equation, illustrating existence, uniqueness under Lipschitz regimes, and asymptotic convergence to equilibria. Overall, the paper provides a robust, minimal-regularity approach to existence, comparison, and long-time behavior of semi-linear evolutions in ordered Banach spaces, with broad applicability to reaction-diffusion systems.
Abstract
We study semi-linear evolutionary problems where the linear part is the generator of a positive $C_0$-semigroup. The non-linear part is assumed to be quasi-increasing. Given an initial value in between a sub- and a super-solution of the stationary problem we find a solution of the semi-linear evolutionary problem. Convergence as $t\to\infty$ is also studied for the solutions. Our results are applied to the logistic equation with diffusion, to a Lotka-Volterra competition model and the Fisher equation from population genetics.
