Convergence problems in nonlocal dynamics with nonlinearity
Won Eui Hong

TL;DR
This paper investigates convergence in nonlocal nonlinear dynamical systems using gradient structures and the Lojasiewicz inequality, analyzing Lotka-Volterra and concentration-dispersion dynamics, with new methods for proving convergence and existence of wave profiles.
Contribution
It introduces novel methods to prove convergence in nonlocal nonlinear systems, including generalized Lotka-Volterra and concentration-dispersion equations, using gradient structures and regularization techniques.
Findings
Proved convergence for symmetric Lotka-Volterra systems using entropy trapping and variable change methods.
Established existence of nontrivial solitary and periodic wave profiles via gradient structure analysis.
Proved convergence of regularized concentration-dispersion equations using the Lojasiewicz framework.
Abstract
We uncover the gradient structure to investigate the convergence of solutions in nonlocal nonlinear dynamical systems. Mainly but not exclusively, we use the Lojasiewicz inequality to prove convergence results in various spaces with continuous, or discrete temporal domain, and finite, or infinite dimensional spatial domain. To be more specific, we analyze Lotka-Volterra type dynamics and concentration-dispersion dynamics. Lotka-Volterra equations describe the population dynamics of a group of species. Under the assumption that the interaction between species is symmetric, we present two different methods to derive the convergence result. One, the entropy trapping method, is to adapt the idea of Akin and Hofbauer (Math. Biosci. 61 (1982) 51-62) of using monotonicity of the energy to bound the entropy, which provides the proximal distance of the solution from the desired equilibrium.…
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Taxonomy
TopicsMathematical Biology Tumor Growth · Mathematical and Theoretical Epidemiology and Ecology Models
