Sheldon Axler is Dean of the College of Science & Engineering at San Francisco State University. He has authored many well-received books including Precalculus: A Prelude to Calculus, Algebra & Trigonometry, College Algebra, A Glimpse at Hilbert Space Operators, Harmonic Function Theory, and Holomorphic Spaces.
New edition extensively revised and updated
Covers new topics such as product spaces, quotient spaces, and dual spaces
Features new visually appealing format for both print and electronic versions
Includes almost three times the number of exercises as the previous edition
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 finite-dimensional 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.
The third edition contains major improvements and revisions throughout the book. More than 300 new exercises have been added since the previous edition. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions.
No prerequisites are assumed other than the usual demand for suitable mathematical maturity. Thus the text starts by discussing vector spaces, linear independence, span, basis, and dimension. The book then deals with linear maps, eigenvalues, and eigenvectors. Inner-product spaces are introduced, leading to the finite-dimensional spectral theorem and its consequences. Generalized eigenvectors are then used to provide insight into the structure of a linear operator.
From reviews of previous editions:
“… a didactic masterpiece”
—Zentralblatt MATH
“… a tour de force in the service of simplicity and clarity … The most original linear algebra book to appear in years, it certainly belongs in every undergraduate library.”
—CHOICE
The determinant-free proofs are elegant and intuitive.
—American Mathematical Monthly
“Clarity through examples is emphasized … the text is ideal for class exercises … I congratulate the author and the publisher for a well-produced textbook on linear algebra.”
—Mathematical Reviews
##毕业已有许多年,此次因为某些原因,重拾线性代数,有幸读到这本书。 本书强调本质和动机,从另外一个角度诠释了线性代数,读过之后不但知其然,更加知其所以然。一般的书中只会教你如何把矩阵化成上三角阵,而这本书则会告诉你上三角阵的真正含义是什么。虽然矩阵与行列式是被...
评分 评分##开始刷习题
评分##在学校学了一学期的线性代数,本来对向量空间这样的概念很有兴趣,但上了这么一学期课之后反而兴趣消失殆尽了。学校的教材完全就是公式的堆积,就给你一个又一个公式,不管是考试还是教材中的证明,给人的感觉就是从书中的某个角落里抠出一个公式来证明。让人完全感受...
评分##最经典undergraduate advanced linear algebra的教材之一,非常proof-based,不推荐给非数学系的和入门的(calculation-based)
评分##在看过一遍常规线代教材之后,再看这本书,可以看到新的视野。书写十分流畅,还标有作者的理解,后面的习题也很好,习题选择的视角也颇具特色。
评分##其实线性代数也不能这样学……正文全是引理、定理和推论的堆砌,课后习题量较大且比较刁钻,并不是很利于巩固所学的内容。学下来的体会就是:虽然刷了几百道习题,但两个月一过正文的内容就已经忘得差不多了。
评分##网络上有很多人把这本书给初学者推荐,我不知道你们究竟读没读过,尤其资质差的初学者,应该连第一章里的很多例子给想不明白。
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