Fluid Relaxation Approximation of the Busenberg–Travis Cross-Diffusion System

The Busenberg-Travis cross-diffusion system for segregating populations is approximated by the compressible Navier-Stokes-Korteweg equations on the torus, including a density-dependent viscosity and drag forces. The Korteweg term can be associated to the quantum Bohm potential. The singular asymptotic limit is proved rigorously using compactness and relative entropy methods. The novelty is the derivation of energy and entropy inequalities, which reduce in the asymptotic limit to the Boltzmann-Shannon and Rao entropy inequalities, thus revealing the double entropy structure of the limiting Busenberg-Travis system.

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Publication Details

Journal
Communications in Mathematical Physics
Published
2025-06-03
DOI
https://doi.org/10.1007/s00220-025-05341-2
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Fluid Relaxation Approximation of the Busenberg–Travis Cross-Diffusion System

José A. Carrillo, Bo Du, Ansgar Jüngel, Xiuqing Chen
Communications in Mathematical Physics
Advanced Mathematical Modeling in Engineering
article

Fluid Relaxation Approximation of the Busenberg–Travis Cross-Diffusion System

José A. Carrillo, Bo Du, Ansgar Jüngel, Xiuqing Chen
article en

Abstract

The Busenberg-Travis cross-diffusion system for segregating populations is approximated by the compressible Navier-Stokes-Korteweg equations on the torus, including a density-dependent viscosity and drag forces. The Korteweg term can be associated to the quantum Bohm potential. The singular asymptotic limit is proved rigorously using compactness and relative entropy methods. The novelty is the derivation of energy and entropy inequalities, which reduce in the asymptotic limit to the Boltzmann-Shannon and Rao entropy inequalities, thus revealing the double entropy structure of the limiting Busenberg-Travis system.

Communications in Mathematical PhysicsVol. 406(7)
TU Wien (AT), Sun Yat-sen University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Mathematical Institute of the Slovak Academy of Sciences (SK)
European Commission, National Natural Science Foundation of China, Austrian Science Fund, Engineering and Physical Sciences Research Council, European Research Council, Agencia Estatal de Investigación
Openalex Percentile: Top 86%
Advanced Mathematical Modeling in Engineering
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