Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles

Borrowing ideas from open quantum systems, we describe a formalism to encode ensembles of trajectories of classical stochastic dynamics in terms of continuous matrix product states (cMPSs). We show how to define in this approach 'biased' or 'conditioned' ensembles where the proba...

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Main Author: Garrahan, Juan P.
Format: Article
Published: IOP Publishing 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/39590/
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author Garrahan, Juan P.
author_facet Garrahan, Juan P.
author_sort Garrahan, Juan P.
building Nottingham Research Data Repository
collection Online Access
description Borrowing ideas from open quantum systems, we describe a formalism to encode ensembles of trajectories of classical stochastic dynamics in terms of continuous matrix product states (cMPSs). We show how to define in this approach 'biased' or 'conditioned' ensembles where the probability of trajectories is biased from that of the natural dynamics by some condition on trajectory observables. In particular, we show that the generalised Doob transform which maps a conditioned process to an equivalent 'auxiliary' or 'driven' process (one where the same conditioned set of trajectories is generated by a proper stochastic dynamics) is just a gauge transformation of the corresponding cMPS. We also discuss how within this framework one can easily prove properties of the dynamics such as trajectory ensemble equivalence and fluctuation theorems.
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spelling nottingham-395902020-05-04T17:59:35Z https://eprints.nottingham.ac.uk/39590/ Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles Garrahan, Juan P. Borrowing ideas from open quantum systems, we describe a formalism to encode ensembles of trajectories of classical stochastic dynamics in terms of continuous matrix product states (cMPSs). We show how to define in this approach 'biased' or 'conditioned' ensembles where the probability of trajectories is biased from that of the natural dynamics by some condition on trajectory observables. In particular, we show that the generalised Doob transform which maps a conditioned process to an equivalent 'auxiliary' or 'driven' process (one where the same conditioned set of trajectories is generated by a proper stochastic dynamics) is just a gauge transformation of the corresponding cMPS. We also discuss how within this framework one can easily prove properties of the dynamics such as trajectory ensemble equivalence and fluctuation theorems. IOP Publishing 2016-07-26 Article PeerReviewed Garrahan, Juan P. (2016) Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles. Journal of Statistical Mechanics: Theory and Experiment, 2016 (7). 073208/1-073208/22. ISSN 1742-5468 large deviations in non-equilibrium systems dynamical processes fluctuation phenomena current fluctuations http://iopscience.iop.org/article/10.1088/1742-5468/2016/07/073208/ doi:10.1088/1742-5468/2016/07/073208 doi:10.1088/1742-5468/2016/07/073208
spellingShingle large deviations in non-equilibrium systems
dynamical processes
fluctuation phenomena
current fluctuations
Garrahan, Juan P.
Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
title Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
title_full Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
title_fullStr Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
title_full_unstemmed Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
title_short Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
title_sort classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
topic large deviations in non-equilibrium systems
dynamical processes
fluctuation phenomena
current fluctuations
url https://eprints.nottingham.ac.uk/39590/
https://eprints.nottingham.ac.uk/39590/
https://eprints.nottingham.ac.uk/39590/