Stochastic Quantisation and Non-Equilibrium Statistical Mechanics
Jayanta K. Bhattacharjee, Debashis Gangopadhyay
TL;DR
This paper extends the stochastic quantisation method to non-equilibrium statistical mechanics, demonstrating its ability to handle various noise types and providing a new approach for analyzing non-equilibrium systems.
Contribution
The paper introduces an extension of Parisi and Wu's stochastic quantisation to non-equilibrium systems, including both white and coloured noise, advancing the theoretical framework.
Findings
Successfully applied stochastic quantisation to non-equilibrium systems
Capable of handling white and coloured noise types
Provides a new tool for non-equilibrium statistical analysis
Abstract
The stochastic quantisation technique of Parisi and Wu is extended to study non-equilibrium statistical mechanics. We show that this scheme is capable of handling white as well as coloured noises. PACS numbers: 64.60.-i; 64.60.Ak; 64.60.Fr; 64.60.Ht
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Taxonomy
TopicsNeural Networks and Applications · Theoretical and Computational Physics · Statistical Mechanics and Entropy