Computation of the self-diffusion coefficient with low-rank tensor methods: application to the simulation of a cross-diffusion system

Autor: Dabaghi Jad, Ehrlacher Virginie, Strössner Christoph
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: ESAIM: Proceedings and Surveys, Vol 73, Pp 173-186 (2023)
Druh dokumentu: article
ISSN: 2267-3059
DOI: 10.1051/proc/202373173
Popis: Cross-diffusion systems arise as hydrodynamic limits of lattice multi-species interacting particle models. The objective of this work is to provide a numerical scheme for the simulation of the cross-diffusion system identified in [J. Quastel, Comm. Pure Appl. Math., 45 (1992), pp. 623–679]. To simulate this system, it is necessary to provide an approximation of the so-called self-diffusion coefficient matrix of the tagged particle process. Classical algorithms for the computation of this matrix are based on the estimation of the long-time limit of the average mean square displacement of the particle. In this work, as an alternative, we propose a novel approach for computing the self-diffusion coefficient using deterministic low-rank approximation techniques, as the minimum of a high-dimensional optimization problem. The computed self-diffusion coefficient is then used for the simulation of the cross-diffusion system using an implicit finite volume scheme.
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