Linear Algebra Done Right 2ed/Sheldon Axler线性 pdf epub mobi txt 电子书 下载 2024

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发表于2024-12-22

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店铺: 暗香盈袖图书专营店
出版社: 浙江大学出版社
ISBN:7308038300
商品编码:26493748003
丛书名: 线性代数
开本:26开
出版时间:2004-08-01

Linear Algebra Done Right 2ed/Sheldon Axler线性 epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

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Linear Algebra Done Right 2ed/Sheldon Axler线性 epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Linear Algebra Done Right 2ed/Sheldon Axler线性 pdf epub mobi txt 电子书 下载



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Linear Algebra Done Right 2nd ed

   线性代数

              第2版 英文版

 

作 者:(美)阿克斯勒(Axler,S.)Sheldon Axler 著

出 版 社:世界图书出版公司

出版时间:2008-5-1

  • 版 次:1
  • 页 数:251
  • 字 数:
  • 印刷时间:2008-5-1
  • 开 本:16开
  • 纸 张:胶版纸
  • 印 次:1
  • I S B N:9787506292191
  • 包 装:平装
  • 定价:49.00元
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.

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

 


Linear Algebra Done Right 2ed/Sheldon Axler线性 电子书 下载 mobi epub pdf txt

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