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Rigorous derivation of population cross-diffusion systems from moderately interacting particle systems

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arxiv 2010.12389 v2 pith:2CP7Y6A5 submitted 2020-10-23 math.AP math.PR

Rigorous derivation of population cross-diffusion systems from moderately interacting particle systems

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keywords systemscross-diffusionpopulationderiveddiffusioninteractingintermediatelimit
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Population cross-diffusion systems of Shigesada-Kawasaki-Teramoto type are derived in a mean-field-type limit from stochastic, moderately interacting many-particle systems for multiple population species in the whole space. The diffusion term in the stochastic model depends nonlinearly on the interactions between the individuals, and the drift term is the gradient of the environmental potential. In the first step, the mean-field limit leads to an intermediate nonlocal model. The local cross-diffusion system is derived in the second step in a moderate scaling regime, when the interaction potentials approach the Dirac delta distribution. The global existence of strong solutions to the intermediate and the local diffusion systems is proved for sufficiently small initial data. Furthermore, numerical simulations on the particle level are presented.

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