Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Coarse graining in time with the functional renormalization group: Relaxation in Brownian motion

Wilkins, Ashley, Rigopoulos, Gerasimos and Masoero, Enrico 2022. Coarse graining in time with the functional renormalization group: Relaxation in Brownian motion. Physical Review E 106 (5) , 054109. 10.1103/PhysRevE.106.054109

[thumbnail of 2022_Wilkins_PRE (1).pdf]
PDF - Accepted Post-Print Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview


We apply the functional renormalization group (fRG) to study relaxation in a stochastic process governed by an overdamped Langevin equation with one degree of freedom, exploiting the connection with supersymmetric quantum mechanics in imaginary time. After reviewing the functional integral formulation of the system and its underlying symmetries, including the resulting Ward-Takahashi identities for arbitrary initial conditions, we compute the effective action Γ from the fRG, approximated in terms of the leading and subleading terms in the gradient expansion: the local potential approximation and wave-function renormalization, respectively. This is achieved by coarse graining the thermal fluctuations in time resulting in, e.g., an effective potential incorporating fluctuations at all timescales. We then use the resulting effective equations of motion to describe the decay of the covariance and the relaxation of the average position and variance toward their equilibrium values at different temperatures. We use as examples a simple polynomial potential, an unequal Lennard-Jones type potential, and a more complex potential with multiple trapping wells and barriers. We find that these are all handled well, with the accuracy of the approximations improving as the relaxation's spectral representation shifts to lower eigenvalues, in line with expectations about the validity of the gradient expansion. The spectral representation's range also correlates with temperature, leading to the conclusion that the gradient expansion works better for higher temperatures than lower ones. This paper demonstrates the ability of the fRG to expedite the computation of statistical objects in otherwise long-timescale simulations, acting as a first step to more complicated systems.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Engineering
Publisher: American Physical Society
ISSN: 2470-0045
Date of First Compliant Deposit: 13 December 2022
Date of Acceptance: 13 October 2022
Last Modified: 05 May 2023 14:28

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics