James R. Kirkwood, Bessie H. Kirkwood

Linear Algebra (eBook, PDF)

• Format: PDF

Produktbeschreibung

This is the second of a two-part set of books for the undergraduate linear algebra sequence. The text is for more advanced courses taught in mathematics departments. This course is based around matrix theory and focused on the theory of linear algebra. Along with the chapters found in Elementary Linear Algebra, he offers seven additional chapters .

---

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: Taylor & Francis
• Seitenzahl: 428
• Erscheinungstermin: 2. November 2020
• Englisch
• ISBN-13: 9781498776868
• Artikelnr.: 60143901

Autorenporträt

Jim Kirkwood holds a Ph.D. from University of Virginia. He has had ten mathematics textbooks published on various topics including calculus, real analysis, mathematical biology and mathematical physics. His newest text is "Markov Processes," published by Taylor and Francis, and will be out in January, 2015. His original research was in mathematical physics, and he co-authored the seminal paper in a topic now called Kirkwood-Thomas Theory in mathematical physics. During the summer, he teaches real analysis to entering graduate students at the University of Virginia. He has been awarded several National Science Foundation grants.

Inhaltsangabe

Chapter 1. Matrices. Chapter 2. Systems of Linear Equations. Chapter 3.
Vector Spaces. Chapter 4. Linear Transformations. Chapter 5. Eigenvalues
and Eigenvectors. Chapter 6. Inner Product Spaces. Chapter 7. Linear
Functional, Dual Spaces, and Adjoint Operators. Chapter 8. Two
Decompositions of a Matrix. Chapter 9. Determinants. Chapter 10. The Jordan
Canonical Form. Chapter 11. Applications of the Jordan Canonical Form.
Chapter 12. The Perron-Frobenius Theorem. Chapter 13. Bilinear Forms.
Chapter 14. Introduction to Tensor Product. Appendix I. A brief guide to
MATLAB. Appendix II. An introduction to R. Answers to selected exercises.