Introduction to linear algebra / Serge Lang.

Por: Lang, Serge, 1927-2005Series Undergraduate texts in mathematicsEditor: New York : Springer-Verlag, c1986Edición: 2nd edDescripción: viii, 291 p. : il. ; 25 cmISBN: 0387962050Tema(s): Algebras, LinearOtra clasificación: 15-01 (65F05)
Contenidos:
CHAPTER I
Vectors [1]
§L Definition of Points in Space [1]
§2. Located Vectors [9]
$3. Scalar Product [12]
§4. The Norm of a Vector [15]
§5. Parametric Lines [30]
§6. Planes [34]
CHAPTER II
Matrices and Linear Equations [42]
§1. Matrices [43]
§2. Multiplication of Matrices [47]
§3. Homogeneous Linear Equations and Elimination [64]
§4. Row Operations and Gauss Elimination [70]
§5 Row Operations and Elementary Matrices [77]
§6. Linear Combinations [85]
CHAPTER III
Vector Spaces [88]
§1. Definitions. [88]
§2. Linear Combinations [93]
§3. Convex Sets. [99]
§4- Linear Independence [104]
§5. Dimension. [110]
§6. The Rank of a Matrix [115]
CHAPTER IV
Linear Mappings [123]
§1. Mappings [123]
§2. Linear Mappings [127]
§3. The Kernel and Image of a Linear Map [136]
§4. The Rank and Linear Equations Again [144]
§5. The Matrix Associated with a Linear Map [150]
Appendix: Change of Bases [154]
CHAPTER V
Composition and Inverse Mappings [158]
§1. Composition of Linear Maps [158]
§2. Inverses [164]
CHAPTER VI
Scalar Products and Orthogonality [171]
§1. Scalar Products [171]
§2. Orthogonal Bases [180]
$3. Bilinear Maps and Matrices [190]
CHAPTER VII
Determinants [195]
§1. Determinants of Order 2 [195]
§2 3 x 3 and n x n Determinants [200]
§3. The Rank of a Matrix and Subdeterminants [210]
§4. Cramer’s Rule [214]
§5. Inverse of a Matrix [217]
§6. Determinants as Area and Volume [221]
CHAPTER VIII
Eigenvectors and Eigenvalues [233]
§1. Eigenvectors and Eigenvalues [233]
§2. The Characteristic Polynomial [238]
(3. Eigenvalues and Eigenvectors of Symmetric Matrices [250]
$4. Diagonalization of a Symmetric Linear Map [255]
Appendix. Complex Numbers [260]
Answers to Exercises [265]
Index [291]
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Libros Libros Instituto de Matemática, CONICET-UNS
15 L269i (Browse shelf) Available A-8490

ALGEBRA LINEAL


Incluye índices.

CHAPTER I --
Vectors [1] --
§L Definition of Points in Space [1] --
§2. Located Vectors [9] --
$3. Scalar Product [12] --
§4. The Norm of a Vector [15] --
§5. Parametric Lines [30] --
§6. Planes [34] --
CHAPTER II --
Matrices and Linear Equations [42] --
§1. Matrices [43] --
§2. Multiplication of Matrices [47] --
§3. Homogeneous Linear Equations and Elimination [64] --
§4. Row Operations and Gauss Elimination [70] --
§5 Row Operations and Elementary Matrices [77] --
§6. Linear Combinations [85] --
CHAPTER III --
Vector Spaces [88] --
§1. Definitions. [88] --
§2. Linear Combinations [93] --
§3. Convex Sets. [99] --
§4- Linear Independence [104] --
§5. Dimension. [110] --
§6. The Rank of a Matrix [115] --
CHAPTER IV --
Linear Mappings [123] --
§1. Mappings [123] --
§2. Linear Mappings [127] --
§3. The Kernel and Image of a Linear Map [136] --
§4. The Rank and Linear Equations Again [144] --
§5. The Matrix Associated with a Linear Map [150] --
Appendix: Change of Bases [154] --
CHAPTER V --
Composition and Inverse Mappings [158] --
§1. Composition of Linear Maps [158] --
§2. Inverses [164] --
CHAPTER VI --
Scalar Products and Orthogonality [171] --
§1. Scalar Products [171] --
§2. Orthogonal Bases [180] --
$3. Bilinear Maps and Matrices [190] --
CHAPTER VII --
Determinants [195] --
§1. Determinants of Order 2 [195] --
§2 3 x 3 and n x n Determinants [200] --
§3. The Rank of a Matrix and Subdeterminants [210] --
§4. Cramer’s Rule [214] --
§5. Inverse of a Matrix [217] --
§6. Determinants as Area and Volume [221] --
CHAPTER VIII --
Eigenvectors and Eigenvalues [233] --
§1. Eigenvectors and Eigenvalues [233] --
§2. The Characteristic Polynomial [238] --
(3. Eigenvalues and Eigenvectors of Symmetric Matrices [250] --
$4. Diagonalization of a Symmetric Linear Map [255] --
Appendix. Complex Numbers [260] --
Answers to Exercises [265] --
Index [291] --

Zbl, 0577.15001

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