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Könyv Maximum Entropy, Information Without Probability and Complex Fractals Guy Jumarie

Maximum Entropy, Information Without Probability and Complex Fractals

Classical and Quantum Approach

Szerző: Guy Jumarie
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
38 334 Ft
This book presents material on three topics, namely the amount of information involved in non-random...

Információk a könyvről

Szerző
Guy Jumarie
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2010
oldal
270
EAN
9789048154678
ISBN
9048154677
Enbook ID
01974105
Kiadó
Springer
Súly
450
Méretek
155 x 235 x 16

Teljes leírás

This book presents material on three topics, namely the amount of information involved in non-random functions, the amount of information involved in non-probabilistic square matrices (i.e. which are not quantum density matrices), and a new model of complex-valued fractional Brownian motion of order n defined via random walks in the complex plane. These three subjects, which on the surface have no common features, are, in fact, direct consequences of the maximum entropy principle. Moreover, information on non-random functions and complex fractional Brownian motion are directly related to fractals. Thus, a unified framework is constructed which encompasses information with and without probability, quantum information of square matrices with and without probabilistic meaning, and fractals in the complex plane. This volume also features many applications. Audience: This work is intended for theoretical and mathematical physicists, but also for applied mathematicians, experimental physicists, communication engineers, electrical engineers, practitioners in pattern recognition and computer vision, control systems engineers, and theoretical biologists.

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