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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

Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics: A Method to Control the Rare Events in Non-Equilibrium Systems

Hardcover

Series: Springer Theses

General SciencePhysics

ISBN10: 9812878106
ISBN13: 9789812878106
Publisher: Springer
Published: Nov 17 2015
Pages: 127
Weight: 0.94
Height: 0.53 Width: 6.29 Depth: 9.54
Language: English

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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