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This book is meant as a short text in linear algebra for a one-term course. Except for an occasional example or exercise the text is logically independent of calculus, and could be taught early. In practice, I expect it to be used mostly for students who have had two or three terms of calculus. The course could also be given simultaneously with, or im mediately after, the first course in calculus.

　　此书为英文版！

塞尔日·兰（Serge Lang，1927年5月19日－2005年9月12日）是美国数学家，因他在代数的工作和他编写的多本教科书（包括影响颇大的Algebra）而闻名。他的教科书定位于纯数学，以习题原创闻名。

CHAPTER Ⅰ Vectors
1.Definition of Points in Space
2.Located Vectors
3.Scalar Product
4.The Norm of a Vector
5.Parametric Lines
6.Planes
CHAPTER Ⅱ Matrices and Linear Equations
1.Matrices
2.Multiplication of Matrices
3.Homogeneous Linear Equations and Elimination
4.Row Operations and Gauss Elimination
5.Row Operations and Elementary Matrices
6.Linear Combinations
CHAPTER Ⅲ Vector Spaces
1.Definitions
2.Linear Combinations
3.Convex Sets
4.Linear Independence
5.Dimension
6.The Rank of a Matrix
CHAPTER Ⅳ Linear Mappings
1.Mappings
2.Linear Mappings
3.The Kernel and Image of a Linear Map
4.The Rank and Linear Equations Again
5.The Matrix Associated with a Linear Map
Appendix: Change of Bases
CHAPTER Ⅴ Composition and Inverse Mappings
1.Composition of Linear Maps
2.Inverses
CHAPTER Ⅵ Scalar Products and Orthogonality
1.Scalar Products
2.Orthogonal Bases
3.Bilinear Maps and Matrices
CHAPTER Ⅶ Determinants
1.Determinants of Order 2
2.3×3 and n×n Determinants
3.The Rank of a Matrix and Subdeterminants
4.Cramer's Rule
5.Inverse of a Matrix
6.Determinants as Area and Volume
CHAPTER Ⅷ Eigenvectors and Eigenvalues
1.Eigenvectors and Eigenvalues
2.The Characteristic Polynomial
3.Eigenvalues and Eigenvectors of Symmetric Matrices
4.Diagonalization of a Symmetric Linear Map
Appendix Complex Numbers
Answers to Exercises
Index
· · · · · · (收起)