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Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics

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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.

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Series Title

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Call Number

530

Publisher

Singapore : Springer Singapore., 2016

Collation

Fisika

Language

English

ISBN/ISSN

978-981-287-811-3

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Mathematical Physics
Thermodynamics
Statistical physics

Specific Detail Info

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Statement of Responsibility

Takahiro Nemoto

Other Information

Cataloger

Suwardi

Source

https://link.springer.com/book/10.1007/978-981-287-811-3

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