Chemical diffusion master equation: formulations of reaction--diffusion processes on the molecular level
arXiv:2210.02268 · doi:10.1063/5.0129620
Abstract
The chemical diffusion master equation (CDME) describes the probabilistic dynamics of reaction--diffusion systems at the molecular level [del Razo et al., Lett. Math. Phys. 112:49, 2022]; it can be considered the master equation for reaction--diffusion processes. The CDME consists of an infinite ordered family of Fokker--Planck equations, where each level of the ordered family corresponds to a certain number of particles and each particle represents a molecule. The equations at each level describe the spatial diffusion of the corresponding set of particles, and they are coupled to each other via reaction operators --linear operators representing chemical reactions. These operators change the number of particles in the system, and thus transport probability between different levels in the family. In this work, we present three approaches to formulate the CDME and show the relations between them. We further deduce the non-trivial combinatorial factors contained in the reaction operators, and we elucidate the relation to the original formulation of the CDME, which is based on creation and annihilation operators acting on many-particle probability density functions. Finally we discuss applications to multiscale simulations of biochemical systems among other future prospects.
References in corpus (6)
- Anomalous transport in the crowded world of biological cells
- A probabilistic framework for particle-based reaction-diffusion dynamics using classical Fock space representations
- Diffusion-influenced reaction rates in the presence of pair interactions
- Multiscale molecular kinetics by coupling Markov state models and reaction-diffusion dynamics
- Generalized master equation for first-passage problems in partitioned spaces
- Using Malliavin calculus to solve a chemical diffusion master equation
Cited by in corpus (7)
- Data-driven dynamical coarse-graining for condensed matter systems
- Field theories and quantum methods for stochastic reaction-diffusion systems
- Stochastic reaction networks within interacting compartments
- Risk aversion can promote cooperation
- Dynamics of systems with varying number of particles: from Liouville equations to general master equations for open systems
- Open reaction-diffusion systems: bridging probabilistic theory and simulations across scales
- Exact Results in Stochastic Processes with Division, Death, and Diffusion: Spatial Correlations, Marginal Entropy Production, and Macroscopic Currents