Atnaujinkite slapukų nuostatas

Matrices: Theory and Applications Second Edition 2010 [Kietas viršelis]

  • Formatas: Hardback, 289 pages, aukštis x plotis: 235x155 mm, weight: 1330 g, XIV, 289 p., 1 Hardback
  • Serija: Graduate Texts in Mathematics 216
  • Išleidimo metai: 02-Nov-2010
  • Leidėjas: Springer-Verlag New York Inc.
  • ISBN-10: 1441976825
  • ISBN-13: 9781441976826
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 289 pages, aukštis x plotis: 235x155 mm, weight: 1330 g, XIV, 289 p., 1 Hardback
  • Serija: Graduate Texts in Mathematics 216
  • Išleidimo metai: 02-Nov-2010
  • Leidėjas: Springer-Verlag New York Inc.
  • ISBN-10: 1441976825
  • ISBN-13: 9781441976826
Kitos knygos pagal šią temą:
In this book, Denis Serre begins by providing a clean and concise introduction to the basic theory of matrices. He then goes on to give many interesting applications of matrices to different aspects of mathematics and also other areas of science and engineering. With forty percent new material, this second edition is significantly different from the first edition. Newly added topics include: Dunford decomposition, tensor and exterior calculus, polynomial identities, regularity of eigenvalues for complex matrices, functional calculus and the DunfordTaylor formula, numerical range, Weyl's and von Neumanns inequalities, and Jacobi method with random choice. The book mixes together algebra, analysis, complexity theory and numerical analysis. As such, this book will provide many scientists, not just mathematicians, with a useful and reliable reference. It is intended for advanced undergraduate and graduate students with either applied or theoretical goals. This book is based on a course given by the author at the École Normale Supérieure de Lyon.

Recenzijos

From the reviews of the second edition: "This is a first-year graduate text that will be of considerable value to students with any of a wide variety of potential research objectives. Both the proofs and the general explanations are unusually detailed...There are 165 well-designed exercises, many of which provide additional information on topics treated in the text." (Mathematical Reviews) "The main motivation of the author is to ... obtain a textbook that is suitable for a wide range of applications and hence for the different audiences deeply interested in matrices. The main goal is certainly achieved. ... The complex theoretical language, the presentation of modern numerical techniques and the classical algebraic basics make this textbook an excellent source for graduate students in each field using matrices. It can be recommended both for use in the classroom and for independent study." (Peter Hajnal, Acta Scientiarum Mathematicarum, 71, 2005) "This is a first-year graduate text that will be of considerable value to students with any of a wide variety of potential research objectives. Both the proofs and the general explanations are unusually complete and detailed ... . There are 165 well-designed exercises, many of which provide additional information on topics treated in the text. Full solutions are available on the author's website." (R.J. Bumcrot, Mathematical Reviews, 2003) "Denis Serre provides a clear and concise introduction to the basic theory of matrices. ... The book combines algebra, analysis, complexity theory, and numerical analysis, and it will provide many scientists, not just mathematicians, with a useful and reliable reference. ... The book is intended for advanced undergraduate and graduate students with either applied or theoretical goals." (L'enseignement mathematique, 48:3-4, 2002) "Serre ... offers another volume in this series of mathematics work; it is designed for graduate students or upper-level undergraduates who wish to study matrix theory or need a reference in that subject. The discussion is approached from a strongly algebraic viewpoint and is quite concise and thorough. ... There are about 170 exercises spread throughout, all theoretical in nature. Extensive bibliography. A useful resource for anyone who uses matrix theory in his or her work. Summing Up: Highly recommended." (J.H. Ellison, Choice, April 2003) "This text offers an advanced course in matrix theory aimed at a student with a good background in analysis, providing a selection of advanced topics in matrices over the real or complex fields without attempting to be encyclopedic. ... The book contains a large number of exercises, many interesting and challenging, including extensions of results discussed in the main text and alternative proofs of some theorems." (J.D. Dixon, Zentralblatt MATH, 1011, 2003) "It covers, at a slightly higher than basic level, all these expects, and is therefore well suited for a graduate program. ... The prose is good, there are plenty of exercises, and the book is accordingly well suited for self-study. Additionally Matrices would serve very well as a text for courses locally homeomorphic to Serre's, of which there should clearly be more." (Michael Berg, The Mathematical Association of America, December, 2010) "Containing numerous highlights and details that cannot be found in other texts, this book can be recommended warmly for an advanced course on matrix theory." (H. Mitsch, Monatshefte fur Mathematik, Vol. 165 (1), January, 2012) "The author has added many new exercises extending the basic material and these add considerably to the value of the book. ... the author touches on many aspects ... offering a range of topics, and presenting some fascinating and perhaps not familiar parts of the subject. Even those familiar with the subject may find something new here, and a good student, willing to work hard, could find it a rewarding book for self-study." (John D. Dixon, Zentralblatt MATH, Vol. 1206, 2011)

Preface for the Second Edition xi
Preface for the First Edition xiii
1 Elementary Linear and Multilinear Algebra
1(14)
1.1 Vectors and Scalars
1(4)
1.2 Linear Maps
5(4)
1.3 Bilinear Maps
9(6)
2 What Are Matrices
15(16)
2.1 Introduction
15(4)
2.2 Matrices as Linear Maps
19(9)
2.3 Matrices and Bilinear Forms
28(3)
3 Square Matrices
31(38)
3.1 Determinant
31(3)
3.2 Minors
34(4)
3.3 Invertibility
38(4)
3.4 Eigenvalues and Eigenvectors
42(1)
3.5 The Characteristic Polynomial
43(5)
3.6 Diagonalization
48(1)
3.7 Trigonalization
49(3)
3.8 Rank-One Perturbations
52(2)
3.9 Alternate Matrices and the Pfaffian
54(2)
3.10 Calculating the Characteristic Polynomial
56(3)
3.11 Irreducible Matrices
59(10)
4 Tensor and Exterior Products
69(14)
4.1 Tensor Product of Vector Spaces
69(3)
4.2 Exterior Calculus
72(5)
4.3 Tensorization of Linear Maps
77(1)
4.4 A Polynomial Identity in Mn(K)
78(5)
5 Matrices with Real or Complex Entries
83(26)
5.1 Special Matrices
83(3)
5.2 Eigenvalues of Real- and Complex-Valued Matrices
86(5)
5.3 Spectral Decomposition of Normal Matrices
91(1)
5.4 Normal and Symmetric Real-Valued Matrices
92(2)
5.5 Functional Calculus
94(4)
5.6 Numerical Range
98(4)
5.7 The Gershgorin Domain
102(7)
6 Hermitian Matrices
109(18)
6.1 The Square Root over HPDn
109(1)
6.2 Rayleigh Quotients
110(4)
6.3 Further Properties of the Square Root
114(1)
6.4 Spectrum of Restrictions
115(2)
6.5 Spectrum versus Diagonal
117(2)
6.6 The Determinant of Nonnegative Hermitian Matrices
119(8)
7 Norms
127(22)
7.1 A Brief Review
127(6)
7.2 Householder's Theorem
133(2)
7.3 An Interpolation Inequality
135(2)
7.4 Von Neumann's Inequality
137(12)
8 Nonnegative Matrices
149(14)
8.1 Nonnegative Vectors and Matrices
149(1)
8.2 The Perron-Frobenius Theorem: Weak Form
150(1)
8.3 The Perron-Frobenius Theorem: Strong Form
151(3)
8.4 Cyclic Matrices
154(2)
8.5 Stochastic Matrices
156(7)
9 Matrices with Entries in a Principal Ideal Domain; Jordan Reduction
163(20)
9.1 Rings, Principal Ideal Domains
163(4)
9.2 Invariant Factors of a Matrix
167(3)
9.3 Similarity Invariants and Jordan Reduction
170(13)
10 Exponential of a Matrix, Polar Decomposition, and Classical Groups
183(24)
10.1 The Polar Decomposition
183(1)
10.2 Exponential of a Matrix
184(4)
10.3 Structure of Classical Groups
188(3)
10.4 The Groups U(p,q)
191(1)
10.5 The Orthogonal Groups O(p,q)
192(3)
10.6 The Symplectic Group Spn
195(12)
11 Matrix Factorizations and Their Applications
207(18)
11.1 The LU Factorization
208(5)
11.2 Choleski Factorization
213(1)
11.3 The QR Factorization
214(2)
11.4 Singular Value Decomposition
216(2)
11.5 The Moore-Penrose Generalized Inverse
218(7)
12 Iterative Methods for Linear Systems
225(22)
12.1 A Convergence Criterion
226(1)
12.2 Basic Methods
227(2)
12.3 Two Cases of Convergence
229(2)
12.4 The Tridiagonal Case
231(4)
12.5 The Method of the Conjugate Gradient
235(12)
13 Approximation of Eigenvalues
247(30)
13.1 General Considerations
247(2)
13.2 Hessenberg Matrices
249(4)
13.3 The QR Method
253(6)
13.4 The Jacobi Method
259(7)
13.5 The Power Methods
266(11)
References 277(2)
Index of Notations 279(4)
General Index 283(6)
Cited Names 289
Denis Serre is Professor of Mathematics at École Normale Supérieure de Lyon and a former member of the Institut Universitaire de France. He is a member of numerous editorial boards and the author of "Systems of Conservation Laws" (Cambridge University Press 2000). With S. Benzoni-Gavage, he is the co-author of "Multi-Dimensional Hyperbolic Partial Differential Equations. First Order Systems and Applications" (Oxford University Press 2007). With S. Friedlander, he has co-edited four volumes of a "Handbook of Mathematical Fluid Dynamics" (Elsevier 2002--2007). The first edition of the present book is a translation of the original French edition, "Les Matrices: Théorie et Pratique", published by Dunod (2001).