Relativistic analysis of stochastic kinematics

Abstract

The relativistic analysis of stochastic kinematics is developed in order to determine the transformation of the effective diffusivity tensor in inertial frames. Poisson-Kac stochastic processes are initially considered. For one-dimensional spatial models, the effective diffusion coefficient $D$ measured in a frame $Σ$ moving with velocity $w$ with respect to the rest frame of the stochastic process can be expressed as $D= D_0 \, γ^{-3}(w)$. Subsequently, higher dimensional processes are analyzed, and it is shown that the diffusivity tensor in a moving frame becomes non-isotropic with $D_\parallel = D_0 \, γ^{-3}(w)$, and $D_\perp = D_0 \, γ^{-1}(w)$, where $D_\parallel$ and $D_\perp$ are the diffusivities parallel and orthogonal to the velocity of the moving frame. The analysis of discrete Space-Time Diffusion processes permits to obtain a general transformation theory of the tensor diffusivity, confirmed by several different simulation experiments. Several implications of the theory are also addressed and discussed.