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

Abstract

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.

References in corpus (4)

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Cited by in corpus (5)

• Propagation of chaos: a review of models, methods and applications. II. Applications
• Persisting entropy structure for nonlocal cross-diffusion systems
• On multi-species diffusion with size exclusion
• Random-batch method for multi-species stochastic interacting particle systems
• Global martingale solutions for a stochastic Shigesada-Kawasaki-Teramoto population model