Global existence and boundedness in reaction-diffusion systems
SIAM Journal on Mathematical Analysis
Some errors estimates for the box method
SIAM Journal on Numerical Analysis
A parallel algorithm for multilevel graph partitioning and sparse matrix ordering
Journal of Parallel and Distributed Computing
Adaptive finite volume element method for convection-diffusion-reaction problems in 3-D
Scientific computing and applications
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Finite element approximation of a nonlinear cross-diffusion population model
Numerische Mathematik
Journal of Scientific Computing
Applied Numerical Mathematics
Journal of Scientific Computing
A Posteriori Error Estimation for a Finite Volume Discretization on Anisotropic Meshes
Journal of Scientific Computing
Adaptive Multiresolution Methods for the Simulation of Waves in Excitable Media
Journal of Scientific Computing
Coexistence and Asymptotic Periodicity in a Competition Model of Plankton Allelopathy
Acta Applicandae Mathematicae: an international survey journal on applying mathematics and mathematical applications
Analysis of a finite volume element method for the Stokes problem
Numerische Mathematik
A robust and efficient method for steady state patterns in reaction-diffusion systems
Journal of Computational Physics
Journal of Computational Physics
Hi-index | 31.45 |
This paper is concerned with the study of pattern formation for an inhomogeneous Brusselator model with cross-diffusion, modeling an autocatalytic chemical reaction taking place in a three-dimensional domain. For the spatial discretization of the problem we develop a novel finite volume element (FVE) method associated to a piecewise linear finite element approximation of the cross-diffusion system. We study the main properties of the unique equilibrium of the related dynamical system. A rigorous linear stability analysis around the spatially homogeneous steady state is provided and we address in detail the formation of Turing patterns driven by the cross-diffusion effect. In addition we focus on the spatial accuracy of the FVE method, and a series of numerical simulations confirm the expected behavior of the solutions. In particular we show that, depending on the spatial dimension, the magnitude of the cross-diffusion influences the selection of spatial patterns.