eBook: Entropy, Divergence, and Majorization in Classical and Quantum Thermodynamics (DRM EPUB)
 
電子書格式: DRM EPUB
作者: Takahiro Sagawa 
系列: SpringerBriefs in Mathematical Physics
分類: Cybernetics & systems theory ,
Condensed matter physics (liquid state & solid state physics) ,
Quantum physics (quantum mechanics & quantum field theory) ,
Mathematical physics ,
Materials science  
書城編號: 25159104


售價: $715.00

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製造商: Springer Nature Singapore
出版日期: 2022/03/23
ISBN: 9789811666445
 
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商品簡介
Rich information-theoretic structure in out-of-equilibrium thermodynamics exists in both the classical and quantum regimes, leading to the fruitful interplay among statistical physics, quantum information theory, and mathematical theories such as matrix analysis and asymptotic probability theory. The main purpose of this book is to clarify how information theory works behind thermodynamics and to shed modern light on it.The book focuses on both purely information-theoretic concepts and their physical implications. From the mathematical point of view, rigorous proofs of fundamental properties of entropies, divergences, and majorization are presented in a self-contained manner. From the physics perspective, modern formulations of thermodynamics are discussed, with a focus on stochastic thermodynamics and resource theory of thermodynamics. In particular, resource theory is a recently developed field as a branch of quantum information theory to quantify "useful resources" and has an intrinsic connection to various fundamental ideas of mathematics and information theory. This book serves as a concise introduction to important ingredients of the information-theoretic formulation of thermodynamics. 
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Takahiro Sagawa 作者作品表

eBook: Entropy, Divergence, and Majorization in Classical and Quantum Thermodynamics (DRM PDF)

eBook: Entropy, Divergence, and Majorization in Classical and Quantum Thermodynamics (DRM EPUB)

Entropy, Divergence, and Majorization in Classical and Quantum Thermodynamics (1st ed. 2022) (Paperback)

eBook: Thermodynamics of Information Processing in Small Systems (DRM PDF)

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