Law of large numbers for stochastic multiscale spatial gene networks

TL;DR

This paper proves a law of large numbers for a stochastic multiscale spatial gene network, showing convergence to a PDE-ODE system under certain scale conditions.

Contribution

It introduces a convergence result for stochastic multiscale spatial gene networks to a deterministic PDE-ODE system, extending previous models.

Findings

Stochastic system converges to PDE-ODE system under scale conditions.

Develops moments control for martingales in discrete Sobolev spaces.

Provides a mathematical framework for multiscale spatial gene networks.

Abstract

We study a stochastic multiscale spatial gene network. These naturally arise in molecular biology. In our model, the reactants are subject to on-site reactions on both scales and diffusion on the continuous scale only, although diffusion on both scales could easily be handled. We obtain, under a light condition on the scales between the total population size and the mesh discretisation, the convergence of the stochastic system to a deterministic system consisting of a PDE coupled to a ODE. This is in contrast with the well-stirred case where jumps remain at the limit. In order to prove this convergence result, we develop some moments control for martingales in discrete Sobolev topologies and use products rule in discrete Sobolev spaces.