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
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.
习题确实很启发。。但是做不出来就很痛苦。。。有答案就好了 可以看的快一点。。。之前还觉得应该可以很快看完。。。但是后来还是像绪里面说的 要想一个小时内看完 应该是太快了 一点都不夸张
评分好久好久没有写书评了(到现在也只写过一次而已),趁某位大神复活全法也跟着一起复活的时候写点东西,那就写这本黄皮旧旧旅行杀人必带的书吧。 首先说来惭愧,第8、9和10章到现在还没有完全看完,第7章也没有很仔细地看,第4章也大约跳过去了,但这本书最最精彩的1~3可是反...
评分现在回头看,其实就是早先国内教法僵化,赶不上时代了,这本书又恰巧被引进过来,所以显得弥足珍贵。 ------------------------------------------------------------------- 给大学新生上的线性代数和高等数学课,也许是为了侧重灌输实用知识,教给学生的更多是一堆眼花缭乱的...
评分说起代数,我真是百感交集。 高等代数和数学分析基本上就是我大学四年以数学为专业的基础和全部。然而在大一的时候,我喜欢代数远远多过数分。代数可谓是一种带我抽象认识世界的一种方式。 而现在,我翻开这本广为人称道的线性代数教材,想复习以前不熟悉的特征值和特征向量...
评分Linear Algebra Done Right的名声实在太大了,作者本人对此书也是信心满满,从“Done Right”的命名到所谓的“一页要看一小时”的论调,都使此书充满了网红感。实际上,自然有一页看一小时的书,但Axler这本书远远排不上号。 这本书一般被推荐为线性代数的Second Course,似乎F...
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评分慕名而来,看了后认为这本书不适合工科生看,而是专门给数学系的学生看得。 书的内容结构是从最基本定义、概念开始,通过一步一步的逻辑推理产生各个定理和线性代数一系列的性质,有点类似于几何原本的叙述结构。 对于数学极差的我来说,前7章还算可以勉强看的懂,后面几章大量符号、概念、定理都揉杂在一起(这些应该是这本书的高潮)就基本蒙了,也就导致自己匆匆略过了,也没有耐心看下去了
评分真的是越学越觉得Axler这本问题大,正文材料太简单然后练习题的难度又完全不相称。所谓的一开始就从抽象概念(Linear map)而不是传统的Matirx讲起确实是不错,不过因为各个材料平均施力完全看不出重点可以说是最大的败笔。强烈不建议只看这本,如果想学好Lin alg应该再加那本fin dim vector spaces, 对dual, spectrum theorem, Jordan form还有matrix的理解会好很多。
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。
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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