Alexander Altland

Mathematics for Physicists (eBook, PDF)

Introductory Concepts and Methods

• Format: PDF

Produktbeschreibung

This textbook is a comprehensive introduction to the key disciplines of mathematics - linear algebra, calculus, and geometry - needed in the undergraduate physics curriculum. Its leitmotiv is that success in learning these subjects depends on a good balance between theory and practice. Reflecting this belief, mathematical foundations are explained in pedagogical depth, and computational methods are introduced from a physicist's perspective and in a timely manner. This original approach presents concepts and methods as inseparable entities, facilitating in-depth understanding and making even advanced mathematics tangible. The book guides the reader from high-school level to advanced subjects such as tensor algebra, complex functions, and differential geometry. It contains numerous worked examples, info sections providing context, biographical boxes, several detailed case studies, over 300 problems, and fully worked solutions for all odd-numbered problems. An online solutions manual for all even-numbered problems will be made available to instructors.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 14. Februar 2019
• Englisch
• ISBN-13: 9781108645140
• Artikelnr.: 55767978

Autorenporträt

Alexander Altland is Professor of Theoretical Physics at the Universität zu Köln. His areas of specialization include quantum field theory and the physics of disordered and chaotic systems. He is co-author of the hugely successful textbook Condensed Matter Field Theory (2nd edition, Cambridge, 2010). He received the Albertus Magnus Teaching Award of the faculty of mathematics and natural sciences of Universität zu Köln.

Inhaltsangabe

Preface
Part I. Linear Algebra: 1. Mathematics before numbers
2. Vector spaces
3. Euclidean geometry
4. Vector product
5. Linear maps
6. Determinants
7. Matrix diagonalization
8. Unitarity and hermiticity
9. Linear algebra in function spaces
10. Multilinear algebra
Problems: linear algebra
Part II. Calculus: 1. Differentiation of one-dimensional functions
2. Integration of one-dimensional functions
3. Partial differentiation
4. Multi-dimensional integration
5. Taylor series
6. Fourier calculus
7. Differential equations
8. Functional calculus
9. Calculus of complex functions
Problems: calculus
Part III. Vector Calculus: 1. Curves
2. Curvilinear coordinates
3. Fields
4. Introductory concepts of differential geometry
5. Alternating differential forms
6. Riemannian differential geometry
7. Case study: differential forms and electrodynamics
Problems: vector calculus
Solutions: linear algebra
Solutions: calculus
Solutions: vector calculus
Index.