Abstract
Abstract
The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point. Claude Shannon [387], A mathematical theory of communication (1948) There is, essentially, only one problem in statistical thermodynamics: the distribution of a given amount of energy E over N identical systems or, perhaps better, to determine the distribution of an assembly of N identical systems over the possible states in which this assembly can find itself, given that the energy of the assembly is a constant E. Erwin Schrödinger, [381, p. 1] …reconcile the time-reversibility of classical mechanics and the irreversibility of thermodynamics. Peter Whittle, on Ehrenfest model, [439, pp. 136–137]
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Notes
- 1.
Neither the original theorem nor its algebraic counterpart is discussed in the present book.
- 2.
Often called positive in the book.
- 3.
We will use often the terminology positive rather than positive semi-definite here; see Remark 3.5.2.
- 4.
- 5.
Two obviously contradicting goals
- 6.
When the noise can be neglected, this is noiseless coding theory, a topic not considered here.
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Acknowledgements
First of all, special thanks are due to President Daniele Struppa, for providing me the wonderful work conditions at Chapman University. It is a pleasure to thank Doctor Thomas Hempfling from Birkhäuser for his constant support and advices during the writing of this book. Special thanks are due to Professor Hesham El-Askary, Program Director of the Computational and Data Sciences program (CADS) at Chapman, for giving me the opportunity of develo** numerous courses (such as error-correcting codes, information theory, machine learning) on which is based the present work.
It is a pleasure to take this opportunity to thank my thesis advisor, Professor Harry Dym, for his help since my student days at the Weizmann Institute of Sciences. His influence can be felt all over the book.
My friend and former student, Doctor Haim Attia, from the Sami Shamoon College of Engineering, Beer-Sheva, Israel, read the manuscript and found quite a few errors and misprints. It is a pleasure to thank him for his dedication.
Numerous people have helped me during the writing of this book. Influence of my various collaborations percolates throughout the book. A special thank is due to Professor Tryphon Georgiou from University of California at Irvine for very fruitful discussions. Professor Dan Volok provided in particular the proof of Exercise 5.2.7, 2.4.4, but I owe him much more due to our collaboration over the years. Professor Mihaela Vajiac contributed Exercise 4.1.10 in particular and much more, thanks to our collaboration and countless discussions, which began in 2012. Professors Mihaela Vajiac and Adrian Vajiac introduced me to Artin’s work [50], and I wish to thank Prof. Adrian Vajiac for his help with Exercise 2.2.13 and much more along the years since 2012.
Three teachers had a huge influence during my formative years before graduate school: Monsieur Venet, in fifth grade during the academic year 1966–1967 at the École Pihet, Paris; Monsieur Jean-Daniel Bloch, who was my teacher in Mathématiques supérieures at the Lycée Louis-Le-Grand during the academic year 1973–1974; and Professor Hayri Korezlioglu, who introduced me to stochastic processes, and much more, at the École Nationale Supérieure des Télécommunications during the years 1976–1978. They are not among us anymore, but I wish to thank them heartfully.
Finally, it is a pleasure to thank my wife, Liora Mayats-Alpay, for her help and patience along the years and during the writing of this book in particular.
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Alpay, D. (2024). Prologue. In: Exercises in Applied Mathematics. Chapman Mathematical Notes. Birkhäuser, Cham. https://doi.org/10.1007/978-3-031-51822-5_1
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