A new derivation of the relationship between diffusion coefficient and entropy in classical Brownian motion by the ensemble method
Yi Liao, Xiao-Bo Gong

TL;DR
This paper derives an analytic relationship between diffusion coefficient and entropy in classical Brownian motion using the ensemble method, revealing a nonlinear correlation in thermal equilibrium.
Contribution
It introduces a new derivation of the D-entropy relationship in Brownian motion, employing the canonical ensemble and a novel entropy definition.
Findings
Derived an explicit formula: D = (ħ / eM) * exp[S / (k_B d)]
Established a nonlinear D-entropy correlation in thermal equilibrium
Connected the relation to known scaling laws like Rosenfeld's expansion
Abstract
The diffusion coefficient--a measure of dissipation, and the entropy--a measure of fluctuation are found to be intimately correlated in many physical systems. Unlike the fluctuation dissipation theorem in linear response theory, the correlation is often strongly non-linear. To understand this complex dependence, we consider the classical Brownian diffusion in this work. Under certain rational assumption, i.e. in the bi-component fluid mixture, the mass of the Brownian particle is far greater than that of the bath molecule , we can adopt the weakly couple limit. Only considering the first-order approximation of the mass ratio , we obtain a linear motion equation in the reference frame of the observer as a Brownian particle. Based on this equivalent equation, we get the Hamiltonian at equilibrium. Finally, using canonical ensemble method, we define a new entropy that is…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · Complex Systems and Time Series Analysis
