Foundations of Statistical Mechanics PDF Download

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Foundations of Statistical Mechanics

Foundations of Statistical Mechanics PDF Author: W.T. Grandy Jr.
Publisher: Springer Science & Business Media
ISBN: 9400938675
Category : Science
Languages : en
Pages : 391

Book Description
In a certain sense this book has been twenty-five years in the writing, since I first struggled with the foundations of the subject as a graduate student. It has taken that long to develop a deep appreciation of what Gibbs was attempting to convey to us near the end of his life and to understand fully the same ideas as resurrected by E.T. Jaynes much later. Many classes of students were destined to help me sharpen these thoughts before I finally felt confident that, for me at least, the foundations of the subject had been clarified sufficiently. More than anything, this work strives to address the following questions: What is statistical mechanics? Why is this approach so extraordinarily effective in describing bulk matter in terms of its constituents? The response given here is in the form of a very definite point of view-the principle of maximum entropy (PME). There have been earlier attempts to approach the subject in this way, to be sure, reflected in the books by Tribus [Thermostat ics and Thermodynamics, Van Nostrand, 1961], Baierlein [Atoms and Information Theory, Freeman, 1971], and Hobson [Concepts in Statistical Mechanics, Gordon and Breach, 1971].

Foundations of Statistical Mechanics

Foundations of Statistical Mechanics PDF Author: W.T. Grandy Jr.
Publisher: Springer Science & Business Media
ISBN: 9400938675
Category : Science
Languages : en
Pages : 391

Book Description
In a certain sense this book has been twenty-five years in the writing, since I first struggled with the foundations of the subject as a graduate student. It has taken that long to develop a deep appreciation of what Gibbs was attempting to convey to us near the end of his life and to understand fully the same ideas as resurrected by E.T. Jaynes much later. Many classes of students were destined to help me sharpen these thoughts before I finally felt confident that, for me at least, the foundations of the subject had been clarified sufficiently. More than anything, this work strives to address the following questions: What is statistical mechanics? Why is this approach so extraordinarily effective in describing bulk matter in terms of its constituents? The response given here is in the form of a very definite point of view-the principle of maximum entropy (PME). There have been earlier attempts to approach the subject in this way, to be sure, reflected in the books by Tribus [Thermostat ics and Thermodynamics, Van Nostrand, 1961], Baierlein [Atoms and Information Theory, Freeman, 1971], and Hobson [Concepts in Statistical Mechanics, Gordon and Breach, 1971].

Algebra of Probable Inference

Algebra of Probable Inference PDF Author: Richard T. Cox
Publisher: Johns Hopkins University Press
ISBN: 9780801869822
Category : Mathematics
Languages : en
Pages : 0

Book Description
In Algebra of Probable Inference, Richard T. Cox develops and demonstrates that probability theory is the only theory of inductive inference that abides by logical consistency. Cox does so through a functional derivation of probability theory as the unique extension of Boolean Algebra thereby establishing, for the first time, the legitimacy of probability theory as formalized by Laplace in the 18th century. Perhaps the most significant consequence of Cox's work is that probability represents a subjective degree of plausible belief relative to a particular system but is a theory that applies universally and objectively across any system making inferences based on an incomplete state of knowledge. Cox goes well beyond this amazing conceptual advancement, however, and begins to formulate a theory of logical questions through his consideration of systems of assertions—a theory that he more fully developed some years later. Although Cox's contributions to probability are acknowledged and have recently gained worldwide recognition, the significance of his work regarding logical questions is virtually unknown. The contributions of Richard Cox to logic and inductive reasoning may eventually be seen to be the most significant since Aristotle.

The Algebra of Probable Inference

The Algebra of Probable Inference PDF Author: Richard T. Cox
Publisher:
ISBN:
Category : Algebra, Boolean
Languages : en
Pages : 114

Book Description


Formal Logic

Formal Logic PDF Author: Augustus De Morgan
Publisher:
ISBN:
Category : Logic
Languages : en
Pages : 376

Book Description


The Algebra of Probable Inference

The Algebra of Probable Inference PDF Author: Richard Threlkeld Cox
Publisher:
ISBN:
Category : Algebra, Boolean
Languages : en
Pages : 114

Book Description


High-Dimensional Probability

High-Dimensional Probability PDF Author: Roman Vershynin
Publisher: Cambridge University Press
ISBN: 1108415199
Category : Business & Economics
Languages : en
Pages : 299

Book Description
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Encyclopedia of Information Science and Technology

Encyclopedia of Information Science and Technology PDF Author: Mehdi Khosrow-Pour
Publisher: IGI Global Snippet
ISBN: 9781605660264
Category : Computers
Languages : en
Pages : 4292

Book Description
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.

Time Series and Statistics

Time Series and Statistics PDF Author: John Eatwell
Publisher: Springer
ISBN: 1349208655
Category : Business & Economics
Languages : en
Pages : 336

Book Description
This is an excerpt from the 4-volume dictionary of economics, a reference book which aims to define the subject of economics today. 1300 subject entries in the complete work cover the broad themes of economic theory. This extract concentrates on time series and statistics.

Knowledge Representation and Defeasible Reasoning

Knowledge Representation and Defeasible Reasoning PDF Author: Henry E. Kyburg Jr.
Publisher: Springer Science & Business Media
ISBN: 940090553X
Category : Computers
Languages : en
Pages : 432

Book Description
This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) ani mal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psy chology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelli gence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also ap pear from time to time. The present volume provides a collection of studies that focus on some of the central problems within the domain of artificial intelligence. These difficulties fall into four principal areas: defeasible reasoning (including the frame problem as apart), ordinary language (and the representation prob lems that it generates), the revision of beliefs (and its rules of inference), and knowledge representation (and the logical problems that are encountered there). These papers make original contributions to each of these areas of inquiry and should be of special interest to those who understand the crucial role that is played by questions of logical form. They vividly illustrate the benefits that can emerge from collaborative efforts involving scholars from linguistics, philosophy, computer science, and AI. J. H. F.

Probability Logics

Probability Logics PDF Author: Zoran Ognjanović
Publisher: Springer
ISBN: 3319470124
Category : Mathematics
Languages : en
Pages : 224

Book Description
The aim of this book is to provide an introduction to probability logic-based formalization of uncertain reasoning. The authors' primary interest is mathematical techniques for infinitary probability logics used to obtain results about proof-theoretical and model-theoretical issues such as axiomatizations, completeness, compactness, and decidability, including solutions of some problems from the literature. An extensive bibliography is provided to point to related work, and this book may serve as a basis for further research projects, as a reference for researchers using probability logic, and also as a textbook for graduate courses in logic.