Generalized ensembles in the thermodynamics of trajectories
- Autores
- Budini, Adrian Adolfo; Turner, Robert M.; Garrahan, Juan P.
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The dynamics of stochastic systems, both classical and quantum, can be studied by analysing the statistical properties of dynamical trajectories. The properties of ensembles of such trajectories for long, but fixed, times are described by large-deviation (LD) rate functions. These LD functions play the role of dynamical free energies: they are cumulant generating functions for time-integrated observables, and their analytic structure encodes dynamical phase behaviour. This 'thermodynamics of trajectories' approach is to trajectories and dynamics what the equilibrium ensemble method of statistical mechanics is to configurations and statics. Here we show that, just like in the static case, there are a variety of alternative ensembles of trajectories, each defined by their global constraints, with that of trajectories of fixed total time being just one of these. We show how the LD functions that describe an ensemble of trajectories where some time-extensive quantity is constant (and large) but where total observation time fluctuates can be mapped to those of the fixed-time ensemble. We discuss how the correspondence between generalized ensembles can be exploited in path sampling schemes for generating rare dynamical trajectories.
Fil: Budini, Adrian Adolfo. Universidad Tecnológica Nacional; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
Fil: Turner, Robert M.. Science and Technology Facilities Council of Nottingham. Rutherford Appleton Laboratory; Reino Unido. University of Nottingham; Estados Unidos
Fil: Garrahan, Juan P.. Science and Technology Facilities Council of Nottingham. Rutherford Appleton Laboratory; Reino Unido. University of Nottingham; Estados Unidos - Materia
-
LARGE DEVIATIONS IN NON-EQUILIBRIUM SYSTEMS
SLOW RELAXATION AND GLASSY DYNAMICS
STOCHASTIC PROCESSES (THEORY) - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/180539
Ver los metadatos del registro completo
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Generalized ensembles in the thermodynamics of trajectoriesBudini, Adrian AdolfoTurner, Robert M.Garrahan, Juan P.LARGE DEVIATIONS IN NON-EQUILIBRIUM SYSTEMSSLOW RELAXATION AND GLASSY DYNAMICSSTOCHASTIC PROCESSES (THEORY)https://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The dynamics of stochastic systems, both classical and quantum, can be studied by analysing the statistical properties of dynamical trajectories. The properties of ensembles of such trajectories for long, but fixed, times are described by large-deviation (LD) rate functions. These LD functions play the role of dynamical free energies: they are cumulant generating functions for time-integrated observables, and their analytic structure encodes dynamical phase behaviour. This 'thermodynamics of trajectories' approach is to trajectories and dynamics what the equilibrium ensemble method of statistical mechanics is to configurations and statics. Here we show that, just like in the static case, there are a variety of alternative ensembles of trajectories, each defined by their global constraints, with that of trajectories of fixed total time being just one of these. We show how the LD functions that describe an ensemble of trajectories where some time-extensive quantity is constant (and large) but where total observation time fluctuates can be mapped to those of the fixed-time ensemble. We discuss how the correspondence between generalized ensembles can be exploited in path sampling schemes for generating rare dynamical trajectories.Fil: Budini, Adrian Adolfo. Universidad Tecnológica Nacional; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; ArgentinaFil: Turner, Robert M.. Science and Technology Facilities Council of Nottingham. Rutherford Appleton Laboratory; Reino Unido. University of Nottingham; Estados UnidosFil: Garrahan, Juan P.. Science and Technology Facilities Council of Nottingham. Rutherford Appleton Laboratory; Reino Unido. University of Nottingham; Estados UnidosIOP Publishing2014-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180539Budini, Adrian Adolfo; Turner, Robert M.; Garrahan, Juan P.; Generalized ensembles in the thermodynamics of trajectories; IOP Publishing; Journal of Statistical Mechanics: Theory and Experiment; 2014; 3; 3-2014; 1-251742-5468CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/1742-5468/2014/03/P03012info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-5468/2014/03/P03012info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:42:42Zoai:ri.conicet.gov.ar:11336/180539instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:42:42.252CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Generalized ensembles in the thermodynamics of trajectories |
| title |
Generalized ensembles in the thermodynamics of trajectories |
| spellingShingle |
Generalized ensembles in the thermodynamics of trajectories Budini, Adrian Adolfo LARGE DEVIATIONS IN NON-EQUILIBRIUM SYSTEMS SLOW RELAXATION AND GLASSY DYNAMICS STOCHASTIC PROCESSES (THEORY) |
| title_short |
Generalized ensembles in the thermodynamics of trajectories |
| title_full |
Generalized ensembles in the thermodynamics of trajectories |
| title_fullStr |
Generalized ensembles in the thermodynamics of trajectories |
| title_full_unstemmed |
Generalized ensembles in the thermodynamics of trajectories |
| title_sort |
Generalized ensembles in the thermodynamics of trajectories |
| dc.creator.none.fl_str_mv |
Budini, Adrian Adolfo Turner, Robert M. Garrahan, Juan P. |
| author |
Budini, Adrian Adolfo |
| author_facet |
Budini, Adrian Adolfo Turner, Robert M. Garrahan, Juan P. |
| author_role |
author |
| author2 |
Turner, Robert M. Garrahan, Juan P. |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
LARGE DEVIATIONS IN NON-EQUILIBRIUM SYSTEMS SLOW RELAXATION AND GLASSY DYNAMICS STOCHASTIC PROCESSES (THEORY) |
| topic |
LARGE DEVIATIONS IN NON-EQUILIBRIUM SYSTEMS SLOW RELAXATION AND GLASSY DYNAMICS STOCHASTIC PROCESSES (THEORY) |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
The dynamics of stochastic systems, both classical and quantum, can be studied by analysing the statistical properties of dynamical trajectories. The properties of ensembles of such trajectories for long, but fixed, times are described by large-deviation (LD) rate functions. These LD functions play the role of dynamical free energies: they are cumulant generating functions for time-integrated observables, and their analytic structure encodes dynamical phase behaviour. This 'thermodynamics of trajectories' approach is to trajectories and dynamics what the equilibrium ensemble method of statistical mechanics is to configurations and statics. Here we show that, just like in the static case, there are a variety of alternative ensembles of trajectories, each defined by their global constraints, with that of trajectories of fixed total time being just one of these. We show how the LD functions that describe an ensemble of trajectories where some time-extensive quantity is constant (and large) but where total observation time fluctuates can be mapped to those of the fixed-time ensemble. We discuss how the correspondence between generalized ensembles can be exploited in path sampling schemes for generating rare dynamical trajectories. Fil: Budini, Adrian Adolfo. Universidad Tecnológica Nacional; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina Fil: Turner, Robert M.. Science and Technology Facilities Council of Nottingham. Rutherford Appleton Laboratory; Reino Unido. University of Nottingham; Estados Unidos Fil: Garrahan, Juan P.. Science and Technology Facilities Council of Nottingham. Rutherford Appleton Laboratory; Reino Unido. University of Nottingham; Estados Unidos |
| description |
The dynamics of stochastic systems, both classical and quantum, can be studied by analysing the statistical properties of dynamical trajectories. The properties of ensembles of such trajectories for long, but fixed, times are described by large-deviation (LD) rate functions. These LD functions play the role of dynamical free energies: they are cumulant generating functions for time-integrated observables, and their analytic structure encodes dynamical phase behaviour. This 'thermodynamics of trajectories' approach is to trajectories and dynamics what the equilibrium ensemble method of statistical mechanics is to configurations and statics. Here we show that, just like in the static case, there are a variety of alternative ensembles of trajectories, each defined by their global constraints, with that of trajectories of fixed total time being just one of these. We show how the LD functions that describe an ensemble of trajectories where some time-extensive quantity is constant (and large) but where total observation time fluctuates can be mapped to those of the fixed-time ensemble. We discuss how the correspondence between generalized ensembles can be exploited in path sampling schemes for generating rare dynamical trajectories. |
| publishDate |
2014 |
| dc.date.none.fl_str_mv |
2014-03 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/180539 Budini, Adrian Adolfo; Turner, Robert M.; Garrahan, Juan P.; Generalized ensembles in the thermodynamics of trajectories; IOP Publishing; Journal of Statistical Mechanics: Theory and Experiment; 2014; 3; 3-2014; 1-25 1742-5468 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/180539 |
| identifier_str_mv |
Budini, Adrian Adolfo; Turner, Robert M.; Garrahan, Juan P.; Generalized ensembles in the thermodynamics of trajectories; IOP Publishing; Journal of Statistical Mechanics: Theory and Experiment; 2014; 3; 3-2014; 1-25 1742-5468 CONICET Digital CONICET |
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eng |
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eng |
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