Student Solution Manual for Mathematical Methods for Physics and Engineering, 3/e (Paperback)
內容描述
Description
Mathematical Methods for Physics and Engineering, Third Edition is a highly
acclaimed undergraduate textbook that teaches all the mathematics for an
undergraduate course in any of the physical sciences. As well as lucid
descriptions of all the topics and many worked examples, it contains over 800
exercises. New stand-alone chapters give a systematic account of the 'special
functions' of physical science, cover an extended range of practical
applications of complex variables, and give an introduction to quantum
operators. This solutions manual accompanies the third edition of Mathematical
Methods for Physics and Engineering. It contains complete worked solutions to
over 400 exercises in the main textbook, the odd-numbered exercises, that are
provided with hints and answers. The even-numbered exercises have no hints,
answers or worked solutions and are intended for unaided homework problems;
full solutions are available to instructors on a password-protected web site,
www.cambridge.org/9780521679718.
• Complete and fully-worked solutions to over 400 problems from the
textbook • Detailed and clear presentation, with the original questions
reproduced in full • Remainder of exercises can be set for unaided
homework, worked solutions are available to lecturers
Table of
Contents
Preface; 1. Preliminary algebra; 2. Preliminary calculus; 3. Complex
numbers and hyperbolic functions; 4. Series and limits; 5. Partial
differentiation; 6. Multiple integrals; 7. Vector algebra; 8. Matrices and
vector spaces; 9. Normal modes; 10. Vector calculus; 11. Line, surface and
volume integrals; 12. Fourier series; 13. Integral transforms; 14. First-order
ordinary differential equations; 15. Higher-order ordinary differential
equations; 16. Series solutions of ordinary differential equations; 17.
Eigenfunction methods for differential equations; 18. Special functions; 19.
Quantum operators; 20. Partial differential equations: general and particular;
- Partial differential equations: separation of variables; 22. Calculus of
variations; 23. Integral equations; 24. Complex variables; 25. Application of
complex variables; 26. Tensors; 27. Numerical methods; 28. Group theory; 29.
Representation theory; 30. Probability; 31.
Statistics.
