Random walk on small spheres method for solving drift-diffusion-reaction problems with spatially varying velocity and reaction rate

Abstract The well-known Random Walk on Spheres method (RWS) for the Laplace equation is here extended to drift-diffusion-reaction problems with spatially varying velocity and reaction rate coefficients. The RWS algorithm is based on a generalized spherical mean value relation with constant velocity and reaction rate which is an extension of the classical spherical mean value relation for the Laplace equation. Heuristically, the same algorithm can be applied when the velocity and the reaction rate coefficients are spatially varying just by choosing small spheres in the RWS process assuming the coefficients in small spheres are approximately constant. A fundamental question concerns the quantitative assessment of the error induced by this approximation. In the present work, we establish a rigorous bound for this error. The paper also presents the results of numerical experiments performed to validate the obtained error estimate.

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Publication Details

Journal
Monte Carlo Methods and Applications
Published
2026-04-29
DOI
https://doi.org/10.1515/mcma-2026-3004
Primary Topic
Diffusion and Search Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Random walk on small spheres method for solving drift-diffusion-reaction problems with spatially varying velocity and reaction rate

Karl K. Sabelfeld, Ivan Aksyuk
Monte Carlo Methods and Applications
Diffusion and Search Dynamics
article

Random walk on small spheres method for solving drift-diffusion-reaction problems with spatially varying velocity and reaction rate

Karl K. Sabelfeld, Ivan Aksyuk
article en

Abstract

Abstract The well-known Random Walk on Spheres method (RWS) for the Laplace equation is here extended to drift-diffusion-reaction problems with spatially varying velocity and reaction rate coefficients. The RWS algorithm is based on a generalized spherical mean value relation with constant velocity and reaction rate which is an extension of the classical spherical mean value relation for the Laplace equation. Heuristically, the same algorithm can be applied when the velocity and the reaction rate coefficients are spatially varying just by choosing small spheres in the RWS process assuming the coefficients in small spheres are approximately constant. A fundamental question concerns the quantitative assessment of the error induced by this approximation. In the present work, we establish a rigorous bound for this error. The paper also presents the results of numerical experiments performed to validate the obtained error estimate.

Monte Carlo Methods and Applications
Institute of Computational Mathematics and Mathematical Geophysics (RU)
Russian Science Foundation
Openalex Percentile: Top 10%
Diffusion and Search Dynamics
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