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Quantam Mechanics and Path Integrals

Richard P. Feynman A.R. Hibbs Daniel F Styer

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English
Dover
21 July 2010
From astrophysics to condensed matter theory, nearly all of modern physics employs the path integral technique. In this presentation, the developer of path integrals and one of the best-known scientists of all time, Nobel Prize-winning physicist Richard P. Feynman, presents unique insights into this method and its applications. Avoiding dense, complicated descriptions, Feynman articulates his celebrated theory in a clear, concise manner, maintaining a perfect balance between mathematics and physics.

This emended edition of the original 1965 publication corrects hundreds of typographical errors and recasts many equations for clearer comprehension. It retains the original's verve and spirit, and it is approved and endorsed by the Feynman family. The opening chapters explore the fundamental concepts of quantum mechanics and introduce path integrals. Subsequent chapters cover more advanced topics, including the perturbation method, quantum electrodynamics, and the relation of path integrals to statistical mechanics. In addition to its merit as a text for graduate courses in physics, this volume serves as an excellent resource for professionals.
By:   , ,
Imprint:   Dover
Country of Publication:   United States
Dimensions:   Height: 226mm,  Width: 150mm,  Spine: 22mm
Weight:   540g
ISBN:   9780486477220
ISBN 10:   0486477223
Pages:   371
Publication Date:  
Audience:   General/trade ,  Professional and scholarly ,  ELT Advanced ,  Undergraduate
Format:   Paperback
Publisher's Status:   Unspecified
Preface 1. The Fundamental Concepts of Quantum Mechanics 2. The Quantum-mechanical Law of Motion 3. Developing the Concepts with Special Examples 4. The Schrodinger Description of Quantum Mechanics 5. Measurements and Operators 6. The Perturbation Method in Quantum Mechanics 7. Transition Elements 8. Harmonic Oscilators 9. Quantum Electrodynamics 10. Statistical Mechanics 11. The Variational Method 12. Other Problems in Probability Appendix: Some Useful Definite Integrals Appendix: Notes Index

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