Quantum Mechanics and Quantum Field Theory: A Mathematical Primer

Quantum Mechanics and Quantum Field Theory: A Mathematical Primer

by Jonathan Dimock
ISBN-10:
1107005094
ISBN-13:
9781107005099
Pub. Date:
02/03/2011
Publisher:
Cambridge University Press
ISBN-10:
1107005094
ISBN-13:
9781107005099
Pub. Date:
02/03/2011
Publisher:
Cambridge University Press
Quantum Mechanics and Quantum Field Theory: A Mathematical Primer

Quantum Mechanics and Quantum Field Theory: A Mathematical Primer

by Jonathan Dimock
$95.99
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Overview

Explaining the concepts of quantum mechanics and quantum field theory in a precise mathematical language, this textbook is an ideal introduction for graduate students in mathematics, helping to prepare them for further studies in quantum physics. The textbook covers topics that are central to quantum physics: non-relativistic quantum mechanics, quantum statistical mechanics, relativistic quantum mechanics and quantum field theory. There is also background material on analysis, classical mechanics, relativity and probability. Each topic is explored through a statement of basic principles followed by simple examples. Around 100 problems throughout the textbook help readers develop their understanding.

Product Details

ISBN-13: 9781107005099
Publisher: Cambridge University Press
Publication date: 02/03/2011
Edition description: New Edition
Pages: 238
Product dimensions: 7.60(w) x 9.80(h) x 0.60(d)

About the Author

Jonathan Dimock is Professor of Mathematics, SUNY, Buffalo. He has carried out research in various areas of mathematical physics, including constructive quantum field theory, quantum field theory on manifolds, renormalization group methods and string theory.

Table of Contents

Introduction; Part I. Non-relativistic: 1. Mathematical prelude; 2. Classical mechanics; 3. Quantum mechanics; 4. Single particle; 5. Many particles; 6. Statistical mechanics; Part II. Relativistic: 7. Relativity; 8. Scalar particles and fields; 9. Electrons and photons; 10. Field theory on a manifold; Part III. Probabilistic Methods: 11. Path integrals; 12. Fields as random variables; 13. A nonlinear field theory; Appendices; References; Index.
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