Macroscopic diffusion from a Hamilton-like dynamics
Raphael Lefevere

TL;DR
This paper introduces a deterministic, reversible lattice model with stochastic initial conditions that exhibits macroscopic diffusion, bridging Hamiltonian dynamics and diffusive behavior through rigorous probabilistic analysis.
Contribution
It presents a novel lattice model combining deterministic Hamilton-like dynamics with randomness, and proves diffusion behavior for macroscopic observables.
Findings
Diffusion equation validity for large times
Model exhibits Hamiltonian-like properties
Macroscopic diffusion emerges from microscopic dynamics
Abstract
We introduce and analyze a model for the transport of particles or energy in extended lattice systems. The dynamics of the model acts on a discrete phase space at discrete times but has nonetheless some of the characteristic properties of Hamiltonian dynamics in a confined phase space : it is deterministic, periodic, reversible and conservative. Randomness enters the model as a way to model ignorance about initial conditions and interactions between the components of the system. The orbits of the particles are non-intersecting random loops. We prove, by a weak law of large number, the validity of a diffusion equation for the macroscopic observables of interest for times that are arbitrary large, but small compared to the minimal recurrence time of the dynamics.
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