Multiscale analysis of the conductivity in the Lorentz mirrors model
Raphael Lefevere

TL;DR
This paper analyzes the conductivity in the Lorentz mirrors model using a multiscale approach, deriving a recursive relation for conductivity and computing crossing probabilities in a deterministic system within a random environment.
Contribution
It introduces a perturbative multiscale method to compute conductivity and crossing probabilities in the Lorentz mirrors model, providing a recursive relation for conductivity in three dimensions.
Findings
Crossing probability scales as κ/(κ+N) with computed κ
Recursive relation for conductivity in 3D: κ_{n+1} = κ_n(1 + (κ_n/2^n)α)
Conductivity sequence converges to a finite limit
Abstract
We consider the mirrors model in dimensions on an infinite slab and with unit density. This is a deterministic dynamics in a random environment. We argue that the crossing probability of the slab goes like where is the width of the slab. We are able to compute perturbatively by using a multiscale approach. The only small parameter involved in the expansion is the inverse of the size of the system. This approach rests on an inductive process and a closure assumption adapted to the mirrors model. For , we propose the recursive relation for the conductivity at scale : , up to terms and with . This sequence has a finite limit.
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