10% off all books and free delivery over £50
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

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


Part of the Springer Theses series

View All Editions (1)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

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

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.

About This Edition

ISBN: 9789812878106
Publication date:
Author:
Publisher: Springer an imprint of Springer Nature Singapore
Format: Hardback
Pagination: 127 pages
Series: Springer Theses
Genres: Cybernetics and systems theory
Thermodynamics and heat
Mathematical physics