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Analytical study of the RDME through the Van Kampen system-size expansion

Abstract : In this work we propose a stochastic formulation of a reactive-diffusive system. We discretize the space into cells positioned at the vertices of a lattice hypercube (i.e. we assume that the number of nearest neighbors of each cell is 2d, where d is the dimension of space). We define the state of the system by the number of each chemical species at each spatial position at every time. The system evolves through diffusion and reaction. We treat this system as a problem of population dynamics. Transitions of the system from one state to another are expressed in the form of a set of chemical equations. Interpreting the rate of such chemical equations as probabilities, the system is stochastic and evolves from one generic state to another through these transition probabilities, along a chain of stationary Markov processes. The system as a whole is thus described by a Master Equation. Performing the van Kampen's system size expansion of the Master Equation, at the leading order, we recover the macroscopic law described by the deterministic diffusion-reaction equations (the so-called mean field ). We perform stochastic simulations, based on the Gillespie's algorithm, allowing us to test the validity and consistency of the stochastic model introduced. This stochastic approach allows us to quantify the relationship between local transition probabilities and the macroscopic diffusion-reaction equations. The next-to-leading order of the van Kampen expansion provides a quantification of the fluctuations around the mean field.
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https://hal-insu.archives-ouvertes.fr/insu-00609618
Contributor : Isabelle Dubigeon <>
Submitted on : Tuesday, July 19, 2011 - 3:25:25 PM
Last modification on : Tuesday, December 3, 2019 - 5:04:12 PM

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  • HAL Id : insu-00609618, version 1

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Pietro de Anna, Tanguy Le Borgne, Philippe Davy, Marco Dentz. Analytical study of the RDME through the Van Kampen system-size expansion. XVIII International conference on computational Methods in Water Resources, CMWR 2010, J. Carrera (Ed.), Jun 2010, Barcelone, Spain. ⟨insu-00609618⟩

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