Hamiltonian Brownian motion in Gaussian thermally fluctuating potential. I. Exact Langevin equations, invalidity of Marcovian approximation, common bottleneck of dynamic noise theories, and diffusivity/mobility 1/f noise
Yu. E. Kuzovlev

TL;DR
This paper derives exact Langevin equations for a particle in a Gaussian fluctuating potential, showing the inadequacy of Markovian approximations and linking diffusivity fluctuations to fundamental 1/f noise.
Contribution
It provides an exact stochastic framework revealing the limitations of Markovian models and connects diffusivity fluctuations with 1/f noise in thermally fluctuating media.
Findings
Markovian approximation fails to capture long-range correlations.
Diffusivity fluctuations are significant and scale with mean diffusivity.
The work supports the fundamental origin of 1/f noise in diffusivity variability.
Abstract
Dynamical random walk of classical particle in thermodynamically equilibrium fluctuating medium, - Gaussian random potential field, - is considered in the framework of explicit stochastic representation of deterministic interactions. We discuss corresponding formally exact Langevin equations for the particle's trajectory and show that Marcovian kinetic equation approximation to them is inadequate, - even (and especially) in case of spatially-temporally short-correlated field, - since ignores such actual effects of exponential instability of the trajectory (in respect to small perturbations) as scaleless low-frequency diffusivity/mobility fluctuations (and other excess degrees of randomness) reflected by third-, fourth- and higher-order long-range irreducible statistical correlations. We try to catch the latter, - squeezing through typical theoretical narrow bottleneck, - with the help…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · stochastic dynamics and bifurcation
