Approaches to Entropy

Approaches to Entropy PDF Author: Jeremy R. H. Tame
Publisher: Springer
ISBN: 9811323151
Category : Science
Languages : en
Pages : 203

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Book Description
This is a book about thermodynamics, not history, but it adopts a semi-historical approach in order to highlight different approaches to entropy. The book does not follow a rigid temporal order of events, nor it is meant to be comprehensive. It includes solved examples for a solid understanding. The division into chapters under the names of key players in the development of the field is not intended to separate these individual contributions entirely, but to highlight their different approaches to entropy. This structure helps to provide a different view-point from other text-books on entropy.

Approaches to Entropy

Approaches to Entropy PDF Author: Jeremy R. H. Tame
Publisher: Springer
ISBN: 9811323151
Category : Science
Languages : en
Pages : 203

Get Book Here

Book Description
This is a book about thermodynamics, not history, but it adopts a semi-historical approach in order to highlight different approaches to entropy. The book does not follow a rigid temporal order of events, nor it is meant to be comprehensive. It includes solved examples for a solid understanding. The division into chapters under the names of key players in the development of the field is not intended to separate these individual contributions entirely, but to highlight their different approaches to entropy. This structure helps to provide a different view-point from other text-books on entropy.

Entropy and Diversity

Entropy and Diversity PDF Author: Tom Leinster
Publisher: Cambridge University Press
ISBN: 1108832709
Category : Language Arts & Disciplines
Languages : en
Pages : 457

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Book Description
Discover the mathematical riches of 'what is diversity?' in a book that adds mathematical rigour to a vital ecological debate.

Entropy

Entropy PDF Author: Andreas Greven
Publisher: Princeton University Press
ISBN: 1400865220
Category : Mathematics
Languages : en
Pages : 376

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Book Description
The concept of entropy arose in the physical sciences during the nineteenth century, particularly in thermodynamics and statistical physics, as a measure of the equilibria and evolution of thermodynamic systems. Two main views developed: the macroscopic view formulated originally by Carnot, Clausius, Gibbs, Planck, and Caratheodory and the microscopic approach associated with Boltzmann and Maxwell. Since then both approaches have made possible deep insights into the nature and behavior of thermodynamic and other microscopically unpredictable processes. However, the mathematical tools used have later developed independently of their original physical background and have led to a plethora of methods and differing conventions. The aim of this book is to identify the unifying threads by providing surveys of the uses and concepts of entropy in diverse areas of mathematics and the physical sciences. Two major threads, emphasized throughout the book, are variational principles and Ljapunov functionals. The book starts by providing basic concepts and terminology, illustrated by examples from both the macroscopic and microscopic lines of thought. In-depth surveys covering the macroscopic, microscopic and probabilistic approaches follow. Part I gives a basic introduction from the views of thermodynamics and probability theory. Part II collects surveys that look at the macroscopic approach of continuum mechanics and physics. Part III deals with the microscopic approach exposing the role of entropy as a concept in probability theory, namely in the analysis of the large time behavior of stochastic processes and in the study of qualitative properties of models in statistical physics. Finally in Part IV applications in dynamical systems, ergodic and information theory are presented. The chapters were written to provide as cohesive an account as possible, making the book accessible to a wide range of graduate students and researchers. Any scientist dealing with systems that exhibit entropy will find the book an invaluable aid to their understanding.

Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods PDF Author: John Skilling
Publisher: Springer Science & Business Media
ISBN: 9401578605
Category : Mathematics
Languages : en
Pages : 521

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Book Description
Cambridge, England, 1988

New Foundations for Information Theory

New Foundations for Information Theory PDF Author: David Ellerman
Publisher: Springer Nature
ISBN: 3030865525
Category : Philosophy
Languages : en
Pages : 121

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Book Description
This monograph offers a new foundation for information theory that is based on the notion of information-as-distinctions, being directly measured by logical entropy, and on the re-quantification as Shannon entropy, which is the fundamental concept for the theory of coding and communications. Information is based on distinctions, differences, distinguishability, and diversity. Information sets are defined that express the distinctions made by a partition, e.g., the inverse-image of a random variable so they represent the pre-probability notion of information. Then logical entropy is a probability measure on the information sets, the probability that on two independent trials, a distinction or “dit” of the partition will be obtained. The formula for logical entropy is a new derivation of an old formula that goes back to the early twentieth century and has been re-derived many times in different contexts. As a probability measure, all the compound notions of joint, conditional, and mutual logical entropy are immediate. The Shannon entropy (which is not defined as a measure in the sense of measure theory) and its compound notions are then derived from a non-linear dit-to-bit transform that re-quantifies the distinctions of a random variable in terms of bits—so the Shannon entropy is the average number of binary distinctions or bits necessary to make all the distinctions of the random variable. And, using a linearization method, all the set concepts in this logical information theory naturally extend to vector spaces in general—and to Hilbert spaces in particular—for quantum logical information theory which provides the natural measure of the distinctions made in quantum measurement. Relatively short but dense in content, this work can be a reference to researchers and graduate students doing investigations in information theory, maximum entropy methods in physics, engineering, and statistics, and to all those with a special interest in a new approach to quantum information theory.

Entropy of Mind and Negative Entropy

Entropy of Mind and Negative Entropy PDF Author: Tullio Scrimali
Publisher: Routledge
ISBN: 0429913303
Category : Psychology
Languages : en
Pages : 310

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Book Description
Schizophrenia is the central problem in the sciences of the mind, not only for its etiological, psychopathological and clinical aspects, but also because of its implications for therapy and rehabilitation. In this volume the author describes a series of new scientific and clinical perspectives for schizophrenia influenced by cognitivist and constructivist approaches and informed by the logic of complexity and non-linear, dynamic systems. The author delineates a new complex theory of the brain and a procedural theory of the mind, founded on the concept of the modular brain and the coalitional mind. Subsequently, the author develops a multi-factorial conceptualization of the etiological dynamic and an original, complex, and evolutionary perspective concerning the psychotic condition, which has been redefined, in this case, as Entropy of the Mind or Phrenentropy. In conclusion, the author illustrates an innovative, integrated protocol, denominated Negative Entropy, for the treatment and rehabilitation of patients with schizophrenia.

Social Entropy Theory

Social Entropy Theory PDF Author: Kenneth D. Bailey
Publisher: SUNY Press
ISBN: 9780791400562
Category : Social Science
Languages : en
Pages : 336

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Book Description
Social Entropy Theory illuminates the fundamental problems of societal analysis with a nonequilibrium approach, a new frame of reference built upon contemporary macrological principles, including general systems theory and information theory. Social entropy theory, using Shannon's H and the entropy concept, avoids the common (and often artificial) separation of theory and method in sociology. The hallmark of the volume is integration, as seen in the author's interdisciplinary discussions of equilibrium, entropy, and homeostasis. Unique features of the book are the introduction of the three-level model of social measurement, the theory of allocation, the concepts of global-mutable-immutable, discussion of order and power, and a large set of testable hypotheses.

A Student's Guide to Entropy

A Student's Guide to Entropy PDF Author: Don S. Lemons
Publisher: Cambridge University Press
ISBN: 1107470048
Category : Science
Languages : en
Pages : 195

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Book Description
Striving to explore the subject in as simple a manner as possible, this book helps readers understand the elusive concept of entropy. Innovative aspects of the book include the construction of statistical entropy from desired properties, the derivation of the entropy of classical systems from purely classical assumptions, and a statistical thermodynamics approach to the ideal Fermi and ideal Bose gases. Derivations are worked through step-by-step and important applications are highlighted in over 20 worked examples. Around 50 end-of-chapter exercises test readers' understanding. The book also features a glossary giving definitions for all essential terms, a time line showing important developments, and list of books for further study. It is an ideal supplement to undergraduate courses in physics, engineering, chemistry and mathematics.

Statistical Data Analysis and Entropy

Statistical Data Analysis and Entropy PDF Author: Nobuoki Eshima
Publisher: Springer Nature
ISBN: 9811525528
Category : Mathematics
Languages : en
Pages : 263

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Book Description
This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis, T2-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypotheses using entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random variables and can be applied in statistical methodologies. This book motivates readers, especially young researchers, to address the challenge of new approaches to statistical data analysis and behavior-metric studies.

Discover Entropy And The Second Law Of Thermodynamics: A Playful Way Of Discovering A Law Of Nature

Discover Entropy And The Second Law Of Thermodynamics: A Playful Way Of Discovering A Law Of Nature PDF Author: Arieh Ben-naim
Publisher: World Scientific
ISBN: 9814465267
Category : Science
Languages : en
Pages : 287

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Book Description
This is a sequel to the author's book entitled “Entropy Demystified” (Published by World Scientific, 2007). The aim is essentially the same as that of the previous book by the author: to present Entropy and the Second Law as simple, meaningful and comprehensible concepts. In addition, this book presents a series of “experiments” which are designed to help the reader discover entropy and the Second Law. While doing the experiments, the reader will encounter three most fundamental probability distributions featuring in Physics: the Uniform, the Boltzmann and the Maxwell-Boltzmann distributions. In addition, the concepts of entropy and the Second Law will emerge naturally from these experiments without a tinge of mystery. These concepts are explained with the help of a few familiar ideas of probability and information theory.The main “value” of the book is to introduce entropy and the Second Law in simple language which renders it accessible to any reader who can read and is curious about the basic laws of nature. The book is addressed to anyone interested in science and in understanding natural phenomenon. It will afford the reader the opportunity to discover one of the most fundamental laws of physics — a law that has resisted complete understanding for over a century. The book is also designed to be enjoyable.There is no other book of its kind (except “Entropy Demystified” by the same author) that offers the reader a unique opportunity to discover one of the most profound laws — sometimes viewed as a mysterious — while comfortably playing with familiar games. There are no pre-requisites expected from the readers; all that the reader is expected to do is to follow the experiments or imagine doing the experiments and reach the inevitable conclusions.