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Introduction to Modern Algebra and Matrix Theory Second Edition

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ISBN-10: 0486482200

ISBN-13: 9780486482200

Edition: 2nd 2011

Authors: O. Schreier, E. Sperner, Mart�n David, Melvin Hausner

List price: $33.75
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Book details

List price: $33.75
Edition: 2nd
Copyright year: 2011
Publisher: Dover Publications, Incorporated
Publication date: 7/19/2011
Binding: Paperback
Pages: 400
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.100
Language: English

Editor's Preface
Translators' Preface
Authors' Preface
Affine Space; Linear Equations
n-dimensional Affine Space
Vectors
The Concept of Linear Dependence
Vector Spaces in R<sub>n</sub>
Linear Spaces
Linear Equations
Homogeneous Linear Equations
Non-homogeneous Linear Equations
Geometric Applications
Euclidean Space; Theory of Determinants
Euclidean Length
Calculating with the Summation Sign
Volumes and Determinants
Fundamental Properties of Determinants
Existence and Uniqueness of Determinants
Volumes
The Principal Theorems of Determinant Theory
The Complete Development of a Determinant
The Determinant as a Function of its Column Vectors
The Multiplication Theorem
The Development of a Determinant by Rows or Columns
Determinants and Linear Equations
Laplace's Expansion Theorem
Transformation of Coordinates
General Linear Coordinate Systems
Cartesian Coordinate Systems
Continuous Deformation of a Linear Coordinate System
Construction of Normal Orthogonal Systems and Applications
Rigid Motions
Rigid Motions in R<sub>2</sub>
Rigid Motions in R<sub>3</sub>
Affine Transformations
Field Theory; The Fundamental Theorem of Algebra
The Concept of a Field
Polynomials over a Field
The Field of Complex Numbers
The Fundamental Theorem of Algebra
Elements of Group Theory
The Concept of a Group
Subgroups; Examples
The Basis Theorem for Abelian Groups
Linear Transformations and Matrices
The Algebra of Linear Transformations
Calculation with Matrices
Linear Transformations Under a Change of Coordinate System
The Determinant of a Linear Transformations
Linear Dependence of Matrices
Calculation With Matrix Polynomials
The Transpose of a Matrix
The Minimal Polynomial; Invariant Subspaces
The Minimal Polynomial
Invariant Subspaces
The Nullspace of a Linear Transformation f(�)
Decomposition of L into Invariant Subspaces
Geometric Interpretation
The Diagonal Form and its Applications
Unitary Transformations
Orthogonal Transformations
Hermitian and Symmetric Matrices (Principal Axis Transformations)
The Elementary Divisors of a Polynomial Matrix
The Normal Form
Consequences
Linear Transformation with Prescribed Elementary Divisors
The Jordan Normal Form
Index