2018
DOI: 10.1016/j.camwa.2018.03.025
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Convergence of the finite difference scheme for a general class of the spatial segregation of reaction–diffusion systems

Abstract: In this work we prove convergence of the finite difference scheme for equations of stationary states of a general class of the spatial segregation of reaction-diffusion systems with m ≥ 2 components. More precisely, we show that the numerical solution u l h , given by the difference scheme, converges to the l th component u l , when the mesh size h tends to zero, provided u l ∈ C 2 (Ω), for every l = 1, 2, . . . , m. In particular, our proof provides convergence of a difference scheme for the multi-phase obsta… Show more

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Cited by 6 publications
(3 citation statements)
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“…The proposed numerical scheme is applied for the spatial segregation limit of diffusive Lotka-Volterra models in presence of high competition and inhomogeneous Dirichlet boundary conditions. In [1] the proof of convergence of the finite difference scheme for a general class of the spatial segregation of reaction-diffusion, is given.…”
Section: Which Satisfymentioning
confidence: 99%
See 1 more Smart Citation
“…The proposed numerical scheme is applied for the spatial segregation limit of diffusive Lotka-Volterra models in presence of high competition and inhomogeneous Dirichlet boundary conditions. In [1] the proof of convergence of the finite difference scheme for a general class of the spatial segregation of reaction-diffusion, is given.…”
Section: Which Satisfymentioning
confidence: 99%
“…Note that since u 0 i ≥ 0, and boundary conditions φ i (x) are non negative then the weak maximum principle (see appendix) implies that u 1 1 ≥ 0. The equation for u 1 2 in (2.4) is given by…”
Section: Analysis Of the Model For Fixed εmentioning
confidence: 99%
“…In a recent series of papers the authors consider numerical approach to a certain class of spatial segregation problem (see [2,3,5,6]). It was developed certain finite difference scheme and proved its solution existence, uniqueness and convergence.…”
Section: Introductionmentioning
confidence: 99%