Abstract

We prove convergence of discrete duality finite volume (DDFV) schemes on distorted meshes for a class of simplified macroscopic bidomain models of the electrical activity in the heart. Both time-implicit and linearised time-implicit schemes are treated. A short description is given of the 3D DDFV meshes and of some of the associated discrete calculus tools. Several numerical tests are presented.

Highlights

  • We consider the heart of a living organism that occupies a fixed domain Ω, which is assumed to be a bounded open subset of R3 with Lipschitz boundary ∂Ω

  • Our study can be considered as a theoretical and numerical validation of the discrete duality finite volume (DDFV) discretisation strategy for the bidomain model. For both a fully timeimplicit scheme and a linearised time-implicit scheme, we prove convergence of different DDFV discretisations to the unique solution of the bidomain model (1)

  • We prove the convergence of each of these schemes, using only general properties of DDFV approximations; but the main focus is on scheme (B), which construction is detailed

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Summary

Introduction

We consider the heart of a living organism that occupies a fixed domain Ω, which is assumed to be a bounded open subset of R3 with Lipschitz boundary ∂Ω. 2our notation follows [7]; a slightly different viewpoint was used in [4, 5, 2, 3], where the homogeneous Dirichlet boundary data were included into the definition of the space RT 0 of discrete functions defined on the control volumes adjacent to ΓD ≡ ∂Ω. In this paper a standard finite volume divergence operator is defined and the definition of a gradient operator is replaced by a dual property (of discrete Green Gauss formula type) together with the definition of a consistent scalar product. A major difference is that, the discrete divergence need not be computed in practice, it has a simple and natural definition (it is a flux balance as usual for finite volume schemes), whereas in the case of Mimetic schemes only a dual and abstract definition of the gradient is provided.

Recall that is the space of all discrete functions on
MT i
PTφ by the mean value
Then using the condition and the equivalence of all
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