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Linear algebra done right / Sheldon Axler.

Math/Physics/Astronomy Library QA184 .A96 2015
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Format:
Book
Author/Creator:
Axler, Sheldon Jay, author.
Series:
Undergraduate texts in mathematics 0172-6056
Undergraduate texts in mathematics, 0172-6056
Language:
English
Subjects (All):
Algebras, Linear.
Algebras, Linear--Study and teaching.
Physical Description:
xvii, 340 pages : color illustrations ; 25 cm.
Edition:
Third edition.
Place of Publication:
Cham : Springer, [2015]
Summary:
"This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra." -- Back cover.
Contents:
Machine generated contents note: 1.Vector Spaces
1.A.Rn and Cn
Complex Numbers
Lists
Fn
Digression on Fields
Exercises 1.A
1.B.Definition of Vector Space
Exercises 1.B
1.C.Subspaces
Sums of Subspaces
Direct Sums
Exercises 1.C
2.Finite-Dimensional Vector Spaces
2.A.Span and Linear Independence
Linear Combinations and Span
Linear Independence
Exercises 2.A
2.B.Bases
Exercises 2.B
2.C.Dimension
Exercises 2.C
3.Linear Maps
3.A.The Vector Space of Linear Maps
Definition and Examples of Linear Maps
Algebraic Operations on L(V, W)
Exercises 3.A
3.B.Null Spaces and Ranges
Null Space and Injectivity
Range and Surjectivity
Fundamental Theorem of Linear Maps
Exercises 3.B
3.C.Matrices
Representing a Linear Map by a Matrix
Addition and Scalar Multiplication of Matrices
Matrix Multiplication
Exercises 3.C
3.D.Invertibility and Isomorphic Vector Spaces
Invertible Linear Maps
Note continued: Isomorphic Vector Spaces
Linear Maps Thought of as Matrix Multiplication
Operators
Exercises 3.D
3.E.Products and Quotients of Vector Spaces
Products of Vector Spaces
Products and Direct Sums
Quotients of Vector Spaces
Exercises 3.E
3.F.Duality
The Dual Space and the Dual Map
The Null Space and Range of the Dual of a Linear Map
The Matrix of the Dual of a Linear Map
The Rank of a Matrix
Exercises 3.F
4.Polynomials
Complex Conjugate and Absolute Value
Uniqueness of Coefficients for Polynomials
The Division Algorithm for Polynomials
Zeros of Polynomials
Factorization of Polynomials over C
Factorization of Polynomials over R
Exercises 4
5.Eigenvalues, Eigenvectors, and Invariant Subspaces
5.A.Invariant Subspaces
Eigenvalues and Eigenvectors
Restriction and Quotient Operators
Exercises 5.A
5.B.Eigenvectors and Upper-Triangular Matrices
Polynomials Applied to Operators
Note continued: Existence of Eigenvalues
Upper-Triangular Matrices
Exercises 5.B
5.C.Eigenspaces and Diagonal Matrices
Exercises 5.C
6.Inner Product Spaces
6.A.Inner Products and Norms
Inner Products
Norms
Exercises 6.A
6.B.Orthonormal Bases
Linear Functionals on Inner Product Spaces
Exercises 6.B
6.C.Orthogonal Complements and Minimization Problems
Orthogonal Complements
Minimization Problems
Exercises 6.C
7.Operators on Inner Product Spaces
7.A.Self-Adjoint and Normal Operators
Adjoints
Self-Adjoint Operators
Normal Operators
Exercises 7.A
7.B.The Spectral Theorem
The Complex Spectral Theorem
The Real Spectral Theorem
Exercises 7.B
7.C.Positive Operators and Isometries
Positive Operators
Isometries
Exercises 7.C
7.D.Polar Decomposition and Singular Value Decomposition
Polar Decomposition
Singular Value Decomposition
Exercises 7.D
Note continued: 8.Operators on Complex Vector Spaces
8.A.Generalized Eigenvectors and Nilpotent Operators
Null Spaces of Powers of an Operator
Generalized Eigenvectors
Nilpotent Operators
Exercises 8.A
8.B.Decomposition of an Operator
Description of Operators on Complex Vector Spaces
Multiplicity of an Eigenvalue
Block Diagonal Matrices
Square Roots
Exercises 8.B
8.C.Characteristic and Minimal Polynomials
The Cayley
Hamilton Theorem
The Minimal Polynomial
Exercises 8.C
8.D.Jordan Form
Exercises 8.D
9.Operators on Real Vector Spaces
9.A.Complexification
Complexification of a Vector Space
Complexification of an Operator
The Minimal Polynomial of the Complexification
Eigenvalues of the Complexification
Characteristic Polynomial of the Complexification
Exercises 9.A
9.B.Operators on Real Inner Product Spaces
Normal Operators on Real Inner Product Spaces
Note continued: Isometries on Real Inner Product Spaces
Exercises 9.B
10.Trace and Determinant
10.A.Trace
Change of Basis
Trace: A Connection Between Operators and Matrices
Exercises 10.A
10.B.Determinant
Determinant of an Operator
Determinant of a Matrix
The Sign of the Determinant
Volume
Exercises 10.B.
Notes:
Includes indexes.
Other Format:
Online version: Axler, Sheldon Jay. Linear algebra done right.
ISBN:
9783319110790
3319110799
3319110802
9783319110806
9783319307657
3319307657
OCLC:
899978064

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