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New Foundations for Physical Geometry

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Release : 2014-02
Genre : Mathematics
Kind : eBook
Book Rating : 306/5 ( reviews)

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Book Synopsis New Foundations for Physical Geometry by : Tim Maudlin

Download or read book New Foundations for Physical Geometry written by Tim Maudlin. This book was released on 2014-02. Available in PDF, EPUB and Kindle. Book excerpt: Tim Maudlin sets out a completely new method for describing the geometrical structure of spaces, and thus a better mathematical tool for describing and understanding space-time. He presents a historical review of the development of geometry and topology, and then his original Theory of Linear Structures.

New Foundations of Cost-Benefit Analysis

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Release : 2006-10
Genre : Business & Economics
Kind : eBook
Book Rating : 799/5 ( reviews)

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Book Synopsis New Foundations of Cost-Benefit Analysis by : Matthew D. Adler

Download or read book New Foundations of Cost-Benefit Analysis written by Matthew D. Adler. This book was released on 2006-10. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors reconceptualize cost-benefit analysis, arguing that its objective should be overall well-being rather than economic efficiency. This book not only places cost-benefit analysis on a firmer theoretical foundation, but also has many practical implications for how government agencies should undertake cost-benefit studies.

New Foundations for Classical Mechanics

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Release : 2012-12-06
Genre : Science
Kind : eBook
Book Rating : 026/5 ( reviews)

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Book Synopsis New Foundations for Classical Mechanics by : D. Hestenes

Download or read book New Foundations for Classical Mechanics written by D. Hestenes. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook on classical mechanics at the intermediate level, but its main purpose is to serve as an introduction to a new mathematical language for physics called geometric algebra. Mechanics is most commonly formulated today in terms of the vector algebra developed by the American physicist J. Willard Gibbs, but for some applications of mechanics the algebra of complex numbers is more efficient than vector algebra, while in other applica tions matrix algebra works better. Geometric algebra integrates all these algebraic systems into a coherent mathematical language which not only retains the advantages of each special algebra but possesses powerful new capabilities. This book covers the fairly standard material for a course on the mechanics of particles and rigid bodies. However, it will be seen that geometric algebra brings new insights into the treatment of nearly every topic and produces simplifications that move the subject quickly to advanced levels. That has made it possible in this book to carry the treatment of two major topics in mechanics well beyond the level of other textbooks. A few words are in order about the unique treatment of these two topics, namely, rotational dynamics and celestial mechanics.

New Foundations in Mathematics

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Release : 2012-10-26
Genre : Mathematics
Kind : eBook
Book Rating : 852/5 ( reviews)

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Book Synopsis New Foundations in Mathematics by : Garret Sobczyk

Download or read book New Foundations in Mathematics written by Garret Sobczyk. This book was released on 2012-10-26. Available in PDF, EPUB and Kindle. Book excerpt: The first book of its kind, New Foundations in Mathematics: The Geometric Concept of Number uses geometric algebra to present an innovative approach to elementary and advanced mathematics. Geometric algebra offers a simple and robust means of expressing a wide range of ideas in mathematics, physics, and engineering. In particular, geometric algebra extends the real number system to include the concept of direction, which underpins much of modern mathematics and physics. Much of the material presented has been developed from undergraduate courses taught by the author over the years in linear algebra, theory of numbers, advanced calculus and vector calculus, numerical analysis, modern abstract algebra, and differential geometry. The principal aim of this book is to present these ideas in a freshly coherent and accessible manner. New Foundations in Mathematics will be of interest to undergraduate and graduate students of mathematics and physics who are looking for a unified treatment of many important geometric ideas arising in these subjects at all levels. The material can also serve as a supplemental textbook in some or all of the areas mentioned above and as a reference book for professionals who apply mathematics to engineering and computational areas of mathematics and physics.

New Foundations for Information Theory

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Release : 2021-10-30
Genre : Philosophy
Kind : eBook
Book Rating : 525/5 ( reviews)

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Book Synopsis New Foundations for Information Theory by : David Ellerman

Download or read book New Foundations for Information Theory written by David Ellerman. This book was released on 2021-10-30. 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.

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