Published February 15, 2008 | Version v1
Journal article

Relationship between the reaction-diffusion master equation and particle tracking models

  • 1. Department of Mathematics, University of Utah, 155 S 1400 E, Room 233, Salt Lake City, UT 84112 (United States)

Description

The reaction-diffusion master equation (RDME) is a model for chemical systems in which both noise in the chemical reaction process and the diffusion of molecules are important. It extends the chemical master equation for well-mixed chemical reactions by discretizing space into a collection of voxels. In this work, we show how the RDME may be rewritten as an equivalent 'particle tracking' model following the motion and interaction of individual molecules on a lattice. This new representation can be interpreted as a discrete version of the spatially-continuous 'probability distribution function' stochastic reaction-diffusion model studied by Doi. We show how this new representation can be mapped to a quantum field theory, complementing the existing work by Peliti mapping the RDME, and Doi mapping his spatially continuous model, to quantum field theories. The formal continuum limit, as the voxel size approaches zero, of the 'particle tracking' representation is studied to consider the question of whether the RDME approximates any spatially continuous model

Availability note (English)

Available from http://dx.doi.org/10.1088/1751-8113/41/6/065003

Additional details

Identifiers

DOI
10.1088/1751-8113/41/6/065003;
PII
S1751-8113(08)65101-X;

Publishing Information

Journal Title
Journal of Physics. A, Mathematical and Theoretical (Online)
Journal Volume
41
Journal Issue
6
Journal Page Range
[15 p.]
ISSN
1751-8121

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
39105325
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
CHEMICAL REACTIONS; DIFFUSION; DISTRIBUTION FUNCTIONS; EQUATIONS; MAPPING; PROBABILITY; QUANTUM FIELD THEORY; STOCHASTIC PROCESSES
Descriptors DEC
FIELD THEORIES; FUNCTIONS