2016
DOI: 10.1007/s00211-016-0832-z
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A linear finite volume method for nonlinear cross-diffusion systems

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Cited by 21 publications
(19 citation statements)
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“…A class of doubly nonlinear degenerate parabolic equations generalizing on bounded domains was studied by using maximal monotone operators in Damlamian, Kenmochi, Kubo and Lu, and so on; see also Droniou, Eymard, and Talbot. Another approach to nonlinear diffusion equations via cross‐diffusion systems was recently built by Murakawa,() whose approach is versatile and easy to implement. In comparison with the Cahn‐Hilliard approximation as in Colli and Fukao and Fukao, the methods by previous studies() require the growth condition that 0rβfalse(sfalse)0.1emdscfalse|r|2d for all rdouble-struckR with some constants c , d >0.…”
Section: Introduction and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…A class of doubly nonlinear degenerate parabolic equations generalizing on bounded domains was studied by using maximal monotone operators in Damlamian, Kenmochi, Kubo and Lu, and so on; see also Droniou, Eymard, and Talbot. Another approach to nonlinear diffusion equations via cross‐diffusion systems was recently built by Murakawa,() whose approach is versatile and easy to implement. In comparison with the Cahn‐Hilliard approximation as in Colli and Fukao and Fukao, the methods by previous studies() require the growth condition that 0rβfalse(sfalse)0.1emdscfalse|r|2d for all rdouble-struckR with some constants c , d >0.…”
Section: Introduction and Resultsmentioning
confidence: 99%
“…Furthermore, we infer from (6) that1 (t) = (u 1 (t)) − (t) = (u 2 (t)) − (t) = 2 (t) for all t ∈ [0, T].Proof of Theorem 1. (Error estimate) The estimate(12) can be proved by the same argument as in the proof of Kurima and Yokota 14 , theorem 1.3.…”
mentioning
confidence: 84%
“…Lemma 9 (Discrete Aubin-Lions). Let ‖⋅‖ 1, m be the norm on   m defined in (11) with the dual norm ‖⋅‖ −1, m given by (12), and let (u m ) ⊂   m ,△ t m be a sequence of piecewise constants in time functions with values in   m satisfying…”
Section: How To Cite This Articlementioning
confidence: 99%
“…A two-point flux approximation with a nonlinear positivity-preserving approximation of the cross-diffusion coefficients, modeling the segregation of a two-species population, was suggested in Andreianov and coworkers [10], assuming positive definiteness of the diffusion matrix. The Laplacian structure of the population model (still for positive definite matrices) was exploited in Murakawa [11] to design a convergent linear finite-volume scheme, which avoids fully implicit approximations. A semi-implicit finite-volume discretization for a biofilm model with a nonlocal time integrator was proposed in Rahman and Eberl [12].…”
Section: Introductionmentioning
confidence: 99%
“…After discretizing this scheme in space, we obtain an easy-to-implement scheme for the cross-diffusion system. A finite volume method based on the linear scheme (1.8) has been analyzed by the author [16]. Implementation is almost the same as that for the implicit method for the linear heat equation.…”
mentioning
confidence: 99%