A Statistical Mechanical Interpretation of Algorithmic Information Theory

A Statistical Mechanical Interpretation of Algorithmic Information Theory
Author :
Publisher : Springer Nature
Total Pages : 142
Release :
ISBN-10 : 9789811507397
ISBN-13 : 9811507392
Rating : 4/5 (392 Downloads)

Book Synopsis A Statistical Mechanical Interpretation of Algorithmic Information Theory by : Kohtaro Tadaki

Download or read book A Statistical Mechanical Interpretation of Algorithmic Information Theory written by Kohtaro Tadaki and published by Springer Nature. This book was released on 2019-11-11 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first one that provides a solid bridge between algorithmic information theory and statistical mechanics. Algorithmic information theory (AIT) is a theory of program size and recently is also known as algorithmic randomness. AIT provides a framework for characterizing the notion of randomness for an individual object and for studying it closely and comprehensively. In this book, a statistical mechanical interpretation of AIT is introduced while explaining the basic notions and results of AIT to the reader who has an acquaintance with an elementary theory of computation. A simplification of the setting of AIT is the noiseless source coding in information theory. First, in the book, a statistical mechanical interpretation of the noiseless source coding scheme is introduced. It can be seen that the notions in statistical mechanics such as entropy, temperature, and thermal equilibrium are translated into the context of noiseless source coding in a natural manner. Then, the framework of AIT is introduced. On this basis, the introduction of a statistical mechanical interpretation of AIT is begun. Namely, the notion of thermodynamic quantities, such as free energy, energy, and entropy, is introduced into AIT. In the interpretation, the temperature is shown to be equal to the partial randomness of the values of all these thermodynamic quantities, where the notion of partial randomness is a stronger representation of the compression rate measured by means of program-size complexity. Additionally, it is demonstrated that this situation holds for the temperature itself as a thermodynamic quantity. That is, for each of all the thermodynamic quantities above, the computability of its value at temperature T gives a sufficient condition for T to be a fixed point on partial randomness. In this groundbreaking book, the current status of the interpretation from both mathematical and physical points of view is reported. For example, a total statistical mechanical interpretation of AIT that actualizes a perfect correspondence to normal statistical mechanics can be developed by identifying a microcanonical ensemble in the framework of AIT. As a result, the statistical mechanical meaning of the thermodynamic quantities of AIT is clarified. In the book, the close relationship of the interpretation to Landauer's principle is pointed out.


A Statistical Mechanical Interpretation of Algorithmic Information Theory Related Books

A Statistical Mechanical Interpretation of Algorithmic Information Theory
Language: en
Pages: 142
Authors: Kohtaro Tadaki
Categories: Science
Type: BOOK - Published: 2019-11-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is the first one that provides a solid bridge between algorithmic information theory and statistical mechanics. Algorithmic information theory (AIT) i
Unconventional Computation and Natural Computation
Language: en
Pages: 418
Authors: Oscar H. Ibarra
Categories: Computers
Type: BOOK - Published: 2014-07-08 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 13th International Conference on Unconventional Computation and Natural Computation, UCNC 2014, held in Lo
A Computable Universe
Language: en
Pages: 855
Authors: Hector Zenil
Categories: Computers
Type: BOOK - Published: 2013 - Publisher: World Scientific

DOWNLOAD EBOOK

This volume discusses the foundations of computation in relation to nature. It focuses on two main questions: What is computation? and How does nature compute?
Levy Processes, Integral Equations, Statistical Physics: Connections and Interactions
Language: en
Pages: 246
Authors: Lev A. Sakhnovich
Categories: Mathematics
Type: BOOK - Published: 2012-07-18 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

In a number of famous works, M. Kac showed that various methods of probability theory can be fruitfully applied to important problems of analysis. The interconn
Aspects of Kolmogorov Complexity the Physics of Information
Language: en
Pages: 98
Authors: Bradley S. Tice
Categories: Science
Type: BOOK - Published: 2022-09-01 - Publisher: CRC Press

DOWNLOAD EBOOK

The research presented in Aspects of Kolmogorov Complexity addresses the fundamental standard of defining randomness as measured by a Martin-Lof level of random