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Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics : A method to control the rare events in non-equilibrium systems / / by Takahiro Nemoto



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Autore: Nemoto Takahiro Visualizza persona
Titolo: Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics : A method to control the rare events in non-equilibrium systems / / by Takahiro Nemoto Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (136 p.)
Disciplina: 530
Soggetto topico: Statistical physics
Dynamics
Thermodynamics
Mathematical physics
Complex Systems
Mathematical Physics
Statistical Physics and Dynamical Systems
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Phenomenological structure for the large deviation principle -- Iterative measurement-feedback procedure for large deviation statistics -- Common scaling functions in dynamical and quantum phase transitions -- van Zon-Cohen singularity and a negative inverse temperature -- Conclusions and future perspectives.
Sommario/riassunto: This thesis describes a method to control rare events in non-equilibrium systems by applying physical forces to those systems but without relying on numerical simulation techniques, such as copying rare events. In order to study this method, the book draws on the mathematical structure of equilibrium statistical mechanics, which connects large deviation functions with experimentally measureable thermodynamic functions. Referring to this specific structure as the “phenomenological structure for the large deviation principle”, the author subsequently extends it to time-series statistics that can be used to describe non-equilibrium physics. The book features pedagogical explanations and also shows many open problems to which the proposed method can be applied only to a limited extent. Beyond highlighting these challenging problems as a point of departure, it especially offers an effective means of description for rare events, which could become the next paradigm of non-equilibrium statistical mechanics.
Titolo autorizzato: Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics  Visualizza cluster
ISBN: 981-287-811-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254609403321
Lo trovi qui: Univ. Federico II
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Serie: Springer Theses, Recognizing Outstanding Ph.D. Research, . 2190-5053