Diffusion in a rough potential revisited
Saikat Banerjee, Rajib Biswas, Kazuhiko Seki, Biman Bagchi

TL;DR
This study investigates how the diffusion coefficient of a Brownian particle in rugged energy landscapes depends on landscape roughness, revealing the limitations of existing models and the impact of spatial correlations and traps on diffusion behavior.
Contribution
The paper introduces a new theoretical framework accounting for three-site traps and spatial correlations, improving predictions of diffusion in rugged landscapes beyond Zwanzig's original model.
Findings
Zwanzig's expression overestimates diffusion at high ruggedness
Three-site traps significantly reduce diffusion in uncorrelated landscapes
Spatial correlations alter the effective diffusion coefficient
Abstract
Rugged energy landscapes find wide applications in diverse fields ranging from astrophysics to protein folding. We study the dependence of diffusion coefficient of a Brownian particle on the distribution width of randomness in a Gaussian random landscape by simulations and theoretical analysis. We first show that the elegant expression of Zwanzig [PNAS, 85, 2029 (1988)] for can be reproduced exactly by using the Rosenfeld diffusion-entropy scaling relation. Our simulations show that Zwanzig's expression overestimates in an uncorrelated Gaussian random lattice - differing by almost an order of magnitude at moderately high ruggedness. The disparity originates from the presence of "three-site traps" (TST) on the landscape -- which are formed by the presence of deep minima flanked by high barriers on either side. Using mean first passage time…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Complex Systems and Time Series Analysis
