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线性代数第2版

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线性代数第2版

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作 者:(美)阿克斯勒(Axler,S.) 著

出 版 社:世界图书出版公司

出版时间:2008-5-1

I S B N:9787506292191

  • 线性代数-(第2版)
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    24.00元
  • 线性代数-(第2版)
  • 送货上门
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  • 线性代数第2版
  • 送货上门
  • 价格
    43.00元
    价格
    43.00元

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    内容简介

    The audacious title of this book deserves an explanation. Almost all linear algebra books use determinants to prove that every linear operator on a finite-dimensional complex vector space has an eigenvalue. Determinants are difficult, nonintuitive, and often defined without motivation. To prove the theorem about existence of eigenvalues on complex vector spaces, most books must.define determinants, prove that a linear map is not invertible ff and only if its determinant equals O, and then define the characteristic polynomial. This tortuous (torturous?) path gives students little feeling for why eigenvalues must exist. In contrast, the simple determinant-free proofs presented here offer more insight. Once determinants have been banished to the end of the book, a new route opens to the main goal of linear algebra-- understanding the structure of linear operators.

    作者简介

    目录

    Preface to the Instructor
    Preface to the Student
    Acknowledgments
    CHAPTER 1
     Vector Spaces
      Complex Numbers
      Definition of Vector Space
      Properties of Vector Spaces
      Subspaces
      Sums and Direct Sums
      Exercises
    CHAPTER 2
     Finite-Dimenslonal Vector Spaces
      Span and Linear Independence
      Bases
      Dimension
      Exercises
    CHAPTER 3
     Linear Maps
      Definitions and Examples
      Null Spaces and Ranges
      The Matrix of a Linear Map
      Invertibility
      Exercises
    CHAPTER 4
     Potynomiags
      Degree
      Complex Coefficients
      Real Coefflcients
      Exercises
    CHAPTER 5
     Eigenvalues and Eigenvectors
      lnvariant Subspaces
      Polynomials Applied to Operators
      Upper-Triangular Matrices
      Diagonal Matrices
      Invariant Subspaces on Real Vector Spaces
      Exercises
    CHAPTER 6
     Inner-Product spaces
      Inner Products
      Norms
      Orthonormal Bases
      Orthogonal Projections and Minimization Problems
      Linear Functionals and Adjoints
      Exercises
    CHAPTER 7
     Operators on Inner-Product Spaces
      Self-Adjoint and Normal Operators
      The Spectral Theorem
      Normal Operators on Real Inner-Product Spaces
      Positive Operators
      Isometries
      Polar and Singular-Value Decompositions
      Exercises
    CHAPTER 8
     Operators on Complex Vector Spaces
      Generalized Eigenvectors
      The Characteristic Polynomial
      Decomposition of an Operator
      Square Roots
      The Minimal Polynomial
      Jordan Form
      Exercises
    CHAPTER 9
     Operators on Real Vector Spaces
      Eigenvalues of Square Matrices
      Block Upper-Triangular Matrices
      The Characteristic Polynomial
      Exercises
    CHAPTER 10
     Trace and Determinant
      Change of Basis
      Trace
      Determinant of an Operator
      Determinant of a Matrix
      Volume
      Exercises
    Symbol Index
    Index

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