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Simulating diffusion processes in discontinuous media: a numerical scheme with constant time steps
Antoine Lejay 1, 2, Géraldine Pichot 3
For the TOSCA ; SAGE collaboration(s)
(2011-12-02)

In this article, we propose new Monte Carlo techniques for moving a diffusive particle in a discontinuous media. In this framework, we characterize the stochastic process that governs the positions of the particle. The key tool is the reduction of the process to a Skew Brownian Motion (SBM). In a zone where the coefficients are locally constant on each side of the discontinuity, the new position of the particle after a constant time step is sampled from the exact distribution of the SBM process at the considered time. To do so, we propose two different but equivalent algorithms: a two-steps simulation with a stop at the discontinuity and a one-step direct simulation of the SBM dynamic. Some benchmark tests illustrate their effectiveness.
1:  Institut Elie Cartan Nancy (IECN)
CNRS : UMR7502 – INRIA – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
2:  TOSCA (INRIA Sophia Antipolis / INRIA Lorraine / IECN)
INRIA – CNRS : UMR7502 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
3:  SAGE (INRIA - IRISA)
CNRS : UMR6074 – INRIA – Université de Rennes 1
Probabilités et statistiques
Mathematics/Probability

Physics/Physics/Geophysics

Sciences of the Universe/Earth Sciences/Geophysics

Environmental Sciences/Global Changes
divergence form operators – stochastic differential equation – skew Brownian motion – Monte Carlo simulation – Euler scheme – geophysics – diffusive media with interfaces
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