scholarly journals Rigorous Derivation of Population Cross-Diffusion Systems from Moderately Interacting Particle Systems

2021 ◽  
Vol 31 (6) ◽  
Author(s):  
Li Chen ◽  
Esther S. Daus ◽  
Alexandra Holzinger ◽  
Ansgar Jüngel

AbstractPopulation 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.

2020 ◽  
Vol 405 ◽  
pp. 109181 ◽  
Author(s):  
Martin Burger ◽  
René Pinnau ◽  
Claudia Totzeck ◽  
Oliver Tse ◽  
Andreas Roth

2018 ◽  
Vol 18 (1) ◽  
pp. 151-167
Author(s):  
Dung Le

AbstractWe study the solvability of a general class of cross diffusion systems and establish the local and global existence of their strong solutions under the weakest assumption that they are VMO. This work simplifies the setting in our previous work [15] and provides new extensions which are more verifiable in applications.


2020 ◽  
Vol 20 (4) ◽  
pp. 833-845
Author(s):  
Dung Le

AbstractWe consider some cross diffusion systems which is inspired by models in mathematical biology/ecology, in particular the Shigesada–Kawasaki–Teramoto (SKT) model in population biology. We establish the global existence of strong solutions to systems for multiple species having equal either diffusion or reaction rates. The systems are given on bounded domains of arbitrary dimension.


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