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Methods of Mathematical Physics
Abstract
This well-known text and reference contains an account of those parts of mathematics that are most frequently needed in physics. As a working rule, it includes methods which have applications in at least two branches of physics. The authors have aimed at a high standard of rigour and have not accepted the often-quoted opinion that 'any argument is good enough if it is intended to be used by scientists'. At the same time, they have not attempted to achieve greater generality than is required for the physical applications: this often leads to considerable simplification of the mathematics. Particular attention is also paid to the conditions under which theorems hold. Examples of the practical use of the methods developed are given in the text: these are taken from a wide range of physics, including dynamics, hydrodynamics, elasticity, electromagnetism, heat conduction, wave motion and quantum theory. Exercises accompany each chapter.
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Citations
Cited by
Saddlepoint Methods and Statistical Inference
Reid, N. (1988) · Statistical Science · doi:10.1214/ss/1177012906 · Cited by 337
Tiao, G. C., & Tan, W. Y. (1965) · Biometrika · doi:10.1093/biomet/52.1-2.37 · Cited by 121
Free-fermion entanglement spectrum through Wannier interpolation
Lee, C. H., & Ye, P. (2015) · Physical Review B · doi:10.1103/physrevb.91.085119 · Cited by 54
Metadata
- Authors
- Jeffreys, H., & Jeffreys, B.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1999-11-18
- OpenAlex
- W1540935623
- Cited by
- 1,174
- References
- 0
- FWCI
- 7.94
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Methods of Mathematical Physics. https://app.cochat.ai/papers/10.1017/cbo9781139168489
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- Jeffreys, H., & Jeffreys, B. (1999). Methods of Mathematical Physics. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9781139168489
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.