dc.contributor.author |
Arias-Gonzalez, J. R.
|
es_ES |
dc.date.accessioned |
2021-11-05T14:10:49Z |
|
dc.date.available |
2021-11-05T14:10:49Z |
|
dc.date.issued |
2021-01 |
es_ES |
dc.identifier.uri |
http://hdl.handle.net/10251/176431 |
|
dc.description.abstract |
[EN] Statistical mechanics is a physics theory that deals with ensembles of microstates of a system compatible with environmental constraints and that on average define a thermodynamic state. The evolution of a small system is normally subjected to changing constraints, as set by a protocol, and involves a stochastic dependence on previous events. Here, we generalize the dynamic trajectories described by a realization of a physical system without dissipation to include those in which the history of previous events is necessary to understand its future. This framework is then used to characterize the processes experienced by the stochastic system, as derived from ensemble averages over the available pathways. We find that the pathways that the system traces in the presence of a protocol entail different statistics from those in its absence and prove that both types of pathways are equivalent in the limit of independent events. Such equivalence implies that a thermodynamic system cannot evolve away from equilibrium in the absence of memory. These results are useful to interpret single-molecule experiments in biophysics and other fields in nanoscience, as well as an adequate platform to describe non-equilibrium processes. |
es_ES |
dc.description.sponsorship |
Work supported by Ministerio de Ciencia e Innovacion, grant number PID2019-107391RB-I00. |
es_ES |
dc.language |
Inglés |
es_ES |
dc.publisher |
MDPI AG |
es_ES |
dc.relation.ispartof |
Mathematics |
es_ES |
dc.rights |
Reconocimiento (by) |
es_ES |
dc.subject |
Non-markovian |
es_ES |
dc.subject |
Memory |
es_ES |
dc.subject |
Pathway |
es_ES |
dc.subject |
Stochastic |
es_ES |
dc.subject |
Microscopic reversibility |
es_ES |
dc.subject |
Statistical mechanics |
es_ES |
dc.subject |
Information Theory |
es_ES |
dc.subject |
Phase space |
es_ES |
dc.subject |
Single molecule |
es_ES |
dc.subject |
Non-equilibrium |
es_ES |
dc.subject.classification |
FISICA APLICADA |
es_ES |
dc.title |
Microscopically Reversible Pathways with Memory |
es_ES |
dc.type |
Artículo |
es_ES |
dc.identifier.doi |
10.3390/math9020127 |
es_ES |
dc.relation.projectID |
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107391RB-I00/ES/APLICACIONES BIOFOTONICAS DE LENTES DIFRACTIVAS ESCTRUCTURADAS/ |
es_ES |
dc.rights.accessRights |
Abierto |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada |
es_ES |
dc.description.bibliographicCitation |
Arias-Gonzalez, JR. (2021). Microscopically Reversible Pathways with Memory. Mathematics. 9(2):1-21. https://doi.org/10.3390/math9020127 |
es_ES |
dc.description.accrualMethod |
S |
es_ES |
dc.relation.publisherversion |
https://doi.org/10.3390/math9020127 |
es_ES |
dc.description.upvformatpinicio |
1 |
es_ES |
dc.description.upvformatpfin |
21 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.description.volume |
9 |
es_ES |
dc.description.issue |
2 |
es_ES |
dc.identifier.eissn |
2227-7390 |
es_ES |
dc.relation.pasarela |
S\428556 |
es_ES |
dc.contributor.funder |
AGENCIA ESTATAL DE INVESTIGACION |
es_ES |
upv.costeAPC |
1300 |
es_ES |