Stochastically forced cardiac bidomain model

TL;DR

This paper introduces a stochastic version of the cardiac bidomain model to incorporate random effects, proving the existence and uniqueness of solutions using advanced probabilistic methods.

Contribution

It develops a novel stochastic bidomain model for cardiac tissue and establishes the existence of strong solutions through sophisticated mathematical techniques.

Findings

Existence of martingale solutions established

Convergence of approximate solutions demonstrated

Pathwise uniqueness proved

Abstract

The bidomain system of degenerate reaction-diffusion equations is a well-established spatial model of electrical activity in cardiac tissue, with "reaction" linked to the cellular action potential and "diffusion" representing current flow between cells. The purpose of this paper is to introduce a "stochastically forced" version of the bidomain model that accounts for various random effects. We establish the existence of martingale (probabilistic weak) solutions to the stochastic bidomain model. The result is proved by means of an auxiliary nondegenerate system and the Faedo-Galerkin method. To prove convergence of the approximate solutions, we use the stochastic compactness method and Skorokhod-Jakubowski a.s.~representations. Finally, via a pathwise uniqueness result, we conclude that the martingale solutions are pathwise (i.e., probabilistic strong) solutions.