Diffusion of the random Lorentz process in a magnetic field

Consider the motion of a charged, point particle moving in the complement of a Poisson distribution of hard sphere scatterers in two dimensions under the effect of a fixed magnetic field. Building on, and extending a coupling method established by the authors [Lutsko and Tóth, Commun. Math. Phys. 379, 589–632 (2020)], we show that this “magnetic Lorentz gas” satisfies an invariance principle in an intermediate scaling limit. That is, we apply the low-density (Boltzmann–Grad) limit and simultaneously take the limit as time goes to infinity, then prove convergence of the rescaled trajectory to a Brownian motion in this limit.

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Publication Details

Journal
Journal of Mathematical Physics
Published
2025-11-01
DOI
https://doi.org/10.1063/5.0255890
Citations
1
Primary Topic
Geometric Analysis and Curvature Flows
Type
article
Field-Weighted Citation Impact
3.73
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article

Diffusion of the random Lorentz process in a magnetic field

Christopher Lutsko, Bálint Tóth
1 citations
Journal of Mathematical Physics
Geometric Analysis and Curvature Flows
3.73
article

Diffusion of the random Lorentz process in a magnetic field

Christopher Lutsko, Bálint Tóth
article en
1 citations

Abstract

Consider the motion of a charged, point particle moving in the complement of a Poisson distribution of hard sphere scatterers in two dimensions under the effect of a fixed magnetic field. Building on, and extending a coupling method established by the authors [Lutsko and Tóth, Commun. Math. Phys. 379, 589–632 (2020)], we show that this “magnetic Lorentz gas” satisfies an invariance principle in an intermediate scaling limit. That is, we apply the low-density (Boltzmann–Grad) limit and simultaneously take the limit as time goes to infinity, then prove convergence of the rescaled trajectory to a Brownian motion in this limit.

Journal of Mathematical PhysicsVol. 66(11)
HUN-REN Alfréd Rényi Institute of Mathematics (HU), University of Bristol (GB), University of Houston (US)
Openalex Percentile: Top 6%
Geometric Analysis and Curvature Flows
3.73
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