Information thermodynamics of transition paths between multiple mesostates

Fuente: arXiv
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Autori principali: Louwerse, Miranda D., Sivak, David A.
Natura: Preprint
Pubblicazione: 2023
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author Louwerse, Miranda D.
Sivak, David A.
author_facet Louwerse, Miranda D.
Sivak, David A.
contents A central concern across the natural sciences is a quantitative understanding of the mechanism governing rare transitions between two metastable states. Recent research has uncovered a fundamental equality between the time-reversal asymmetry of the ensemble of such transition paths and the informativeness of system dynamics about the reactivity of a given trajectory, immediately leading to quantitative criteria for judging the importance of distinct system coordinates for the transition. Here we generalize this framework to multiple mesostates. We find that the main system-wide and coordinate-specific results generalize intuitively, while the combinatorial diversity of pairwise transitions raises new questions and points to new concepts. This work increases the previous framework's generality and applicability and forges connections to enhanced-sampling and coarse-grained dynamical approaches such as milestoning and Markov-state models.
format Preprint
id arxiv_https___arxiv_org_abs_2312_12767
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Information thermodynamics of transition paths between multiple mesostates
Louwerse, Miranda D.
Sivak, David A.
Statistical Mechanics
A central concern across the natural sciences is a quantitative understanding of the mechanism governing rare transitions between two metastable states. Recent research has uncovered a fundamental equality between the time-reversal asymmetry of the ensemble of such transition paths and the informativeness of system dynamics about the reactivity of a given trajectory, immediately leading to quantitative criteria for judging the importance of distinct system coordinates for the transition. Here we generalize this framework to multiple mesostates. We find that the main system-wide and coordinate-specific results generalize intuitively, while the combinatorial diversity of pairwise transitions raises new questions and points to new concepts. This work increases the previous framework's generality and applicability and forges connections to enhanced-sampling and coarse-grained dynamical approaches such as milestoning and Markov-state models.
title Information thermodynamics of transition paths between multiple mesostates
topic Statistical Mechanics
url https://arxiv.org/abs/2312.12767