Download or read book Theorie de L Information written by Claude François Picard and published by . This book was released on 1979 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aspects axiomatiques: equations fonctionnelles, mesures; Structures algebriques; Codage; Aspects probabilistes et statistiques.
Download or read book Entropy and Information Theory written by Robert M. Gray and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems. Examples are entropy, mutual information, conditional entropy, conditional information, and discrimination or relative entropy, along with the limiting normalized versions of these quantities such as entropy rate and information rate. Much of the book is concerned with their properties, especially the long term asymptotic behavior of sample information and expected information. This is the only up-to-date treatment of traditional information theory emphasizing ergodic theory.
Download or read book An Introduction to Transfer Entropy written by Terry Bossomaier and published by Springer. This book was released on 2016-11-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.
Download or read book La science de l information Origines th ories et paradigmes written by IBEKWE-SANJUAN Fidelia and published by Lavoisier. This book was released on 2012-10-01 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage de synthèse sur les fondements théoriques et épistémologiques de la science de l’information répond à trois questions : – existe-t-il une science de l’information à part entière ? – comment se définit l’information, objet de cette science ? – y a-t-il une spécificité française de la science de l’information ? Ce livre compare les chemins parcourus par la science de l’information en France et dans le reste du monde. Il contextualise cette évolution à l’aune d’une diversité d’inscriptions disciplinaires. L’enjeu de la science de l’information est de concilier l’approche réaliste de la connaissance, l’approche individualiste des sciences cognitives et l’approche collectiviste où les domaines sont façonnés et les comportements sont modulés par les environnements, les cultures et les construits sociaux partagés. Cette étude sera utile à tous les chercheurs, étudiants et professionnels désirant approfondir leurs connaissances sur les fondements théoriques de la science de l’information.
Download or read book Information Entropy and Progress written by Robert U. Ayres and published by Springer Science & Business Media. This book was released on 1997-05-08 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market: Those in economics, especially thermodynamics, statistical mechanics, cybernetics, information theory, resource use, and evolutionary economic behavior. This book presents an innovative and challenging look at evolution on several scales, from the earth and its geology and chemistry to living organisms to social and economic systems. Applying the principles of thermodynamics and the concepts of information gathering and self- organization, the author characterizes the direction of evolution in each case as an accumulation of "distinguishability" information--a type of universal knowledge.
Download or read book Discover Entropy and the Second Law of Thermodynamics written by Arieh Ben-Naim and published by World Scientific. This book was released on 2010 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a sequel to the author’s book entitled “Entropy Demystified.” 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 no unexpected results, and 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 a 20-question game. 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 give 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 law — without the tinge mystery. There are no pre-requisites expected of 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.
Download or read book New Foundations for Information Theory written by David Ellerman and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Information Entropy Life and the Universe written by Arieh Ben-Naim and published by World Scientific Publishing Company Incorporated. This book was released on 2015 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to explain in simple language what we know and what we do not know about information and entropy -- two of the most frequently discussed topics in recent literature -- and whether they are relevant to life and the entire universe. Entropy is commonly interpreted as a measure of disorder. This interpretation has caused a great amount of "disorder" in the literature. One of the aims of this book is to put some "order" in this "disorder." The book explains with minimum amount of mathematics what information theory is and how it is related to thermodynamic entropy. Then it critically examines the application of these concepts to the question of "What is life?" and whether or not they can be applied to the entire universe.
Download or read book Differential Geometrical Theory of Statistics written by Frédéric Barbaresco and published by MDPI. This book was released on 2018-04-06 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Differential Geometrical Theory of Statistics" that was published in Entropy
Download or read book Entropy written by Andreas Greven and published by Princeton University Press. This book was released on 2014-09-08 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book A Farewell to Entropy written by Arieh Ben-Naim and published by World Scientific. This book was released on 2008 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The principal message of this book is that thermodynamics and statistical mechanics will benefit from replacing the unfortunate, misleading and mysterious term ?entropy? with a more familiar, meaningful and appropriate term such as information, missing information or uncertainty. This replacement would facilitate the interpretation of the ?driving force? of many processes in terms of informational changes and dispel the mystery that has always enshrouded entropy.It has been 140 years since Clausius coined the term ?entropy?; almost 50 years since Shannon developed the mathematical theory of ?information? ? subsequently renamed ?entropy.? In this book, the author advocates replacing ?entropy? by ?information,? a term that has become widely used in many branches of science.The author also takes a new and bold approach to thermodynamics and statistical mechanics. Information is used not only as a tool for predicting distributions but as the fundamental cornerstone concept of thermodynamics, held until now by the term ?entropy.? The topics covered include the fundamentals of probability and information theory; the general concept of information as well as the particular concept of information as applied in thermodynamics; the re-derivation of the Sackur?Tetrode equation for the entropy of an ideal gas from purely informational arguments; the fundamental formalism of statistical mechanics; and many examples of simple processes the ?driving force? for which is analyzed in terms of information.
Download or read book Entropy and the Time Evolution of Macroscopic Systems written by Walter T. Grandy Jr. and published by OUP Oxford. This book was released on 2008-06-26 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the premise that the entropy concept, a fundamental element of probability theory as logic, governs all of thermal physics, both equilibrium and nonequilibrium. The variational algorithm of J. Willard Gibbs, dating from the 19th Century and extended considerably over the following 100 years, is shown to be the governing feature over the entire range of thermal phenomena, such that only the nature of the macroscopic constraints changes. Beginning with a short history of the development of the entropy concept by Rudolph Clausius and his predecessors, along with the formalization of classical thermodynamics by Gibbs, the first part of the book describes the quest to uncover the meaning of thermodynamic entropy, which leads to its relationship with probability and information as first envisioned by Ludwig Boltzmann. Recognition of entropy first of all as a fundamental element of probability theory in mid-twentieth Century led to deep insights into both statistical mechanics and thermodynamics, the details of which are presented here in several chapters. The later chapters extend these ideas to nonequilibrium statistical mechanics in an unambiguous manner, thereby exhibiting the overall unifying role of the entropy.
Download or read book Entropy and Information in Science and Philosophy written by Libor Kubát and published by Elsevier Science & Technology. This book was released on 1975 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Graphs and Questionnaires written by and published by Elsevier. This book was released on 1980-01-01 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphs and Questionnaires
Download or read book Maximum Entropy Information Without Probability and Complex Fractals written by Guy Jumarie and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every thought is a throw of dice. Stephane Mallarme This book is the last one of a trilogy which reports a part of our research work over nearly thirty years (we discard our non-conventional results in automatic control theory and applications on the one hand, and fuzzy sets on the other), and its main key words are Information Theory, Entropy, Maximum Entropy Principle, Linguistics, Thermodynamics, Quantum Mechanics, Fractals, Fractional Brownian Motion, Stochastic Differential Equations of Order n, Stochastic Optimal Control, Computer Vision. Our obsession has been always the same: Shannon's information theory should play a basic role in the foundations of sciences, but subject to the condition that it be suitably generalized to allow us to deal with problems which are not necessarily related to communication engineering. With this objective in mind, two questions are of utmost importance: (i) How can we introduce meaning or significance of information in Shannon's information theory? (ii) How can we define and/or measure the amount of information involved in a form or a pattern without using a probabilistic scheme? It is obligatory to find suitable answers to these problems if we want to apply Shannon's theory to science with some chance of success. For instance, its use in biology has been very disappointing, for the very reason that the meaning of information is there of basic importance, and is not involved in this approach.
Download or read book Additive and Nonadditive Measures of Entropy written by M. Behara and published by New Age International. This book was released on 1990 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Unified Theory Of Measures Of Entropy Is Presented In This Research Monograph. After Covering Basic Materials On The Shannon And The Renyi Entropies, Which Are Additive Measures And Their Characterizations, The Monograph Focusses On Nonadditive Measures Of Entropy. Novel Techniques For The Systematic Discovery Of All Possible Entropy Measures Are Described. Geometric Entropies, Such As Parabolic Entropy, Are Derived From Geometric Configurations.When Subjected To Axioms Of Information Measures, On The Other Hand, Algebraic And Transcendental Functions Give Rise To Algebraic And Transcendental Entropies Respectively. Characterizations Of The Nonadditive Entropies Are Given By The Method Of Functional Equations While Properties Of All Entropies Are Studied In Detail. The Application Of Entropy In Coding Theory Is Extended To Parametric Entropies, Both Additive And Nonadditive, Because Of Their Superior Sensitivity Over The Shannon Entropy, A Nonparametric Measure.
Download or read book L Analyse num rique et la th orie de l approximation written by and published by . This book was released on 1988 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:
