A fitness-driven cross-diffusion system from polulation dynamics as a gradient flow

preprint2016arXivOpen access

Abstract

We consider a fitness-driven model of dispersal of NN interacting populations, which was previously studied merely in the case N=1N=1. Based on some optimal transport distance recently introduced, we identify the model as a gradient flow in the metric space of Radon measures. We prove existence of global non-negative weak solutions to the corresponding system of parabolic PDEs, which involves degenerate cross-diffusion. Under some additional hypotheses and using a new multicomponent Poincaré-Beckner functional inequality, we show that the solutions converge exponentially to an ideal free distribution in the long time regime.

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