This text for a second course in linear algebra is aimed at math majors and graduate students. The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents--without having defined determinants--a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. 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. Students are introduced to inner-product spaces in the first half of the book and shortly thereafter to the finite-dimensional spectral theorem. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.
Sheldonc Axler,11975年毕业于加州大学伯克利分校,1现为旧金山州立大学理工学院院长.a《美国数学月刊》的编委,1MathematicalcIntelligencer主编,1同时还是Springer的GTM研究生数学教材系列等多个系列丛书的主编。
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。
评分首先要声明的是,这本书可以说是一本介于工科线性代数与数学系高等代数之间的书。换句话说,这本书是一本单纯介绍线性映射的书,几乎不涉及到任何具体的“矩阵运算”问题。这本书和工科的线性代数加起来,基本上就构成了数学系的高等代数的内容(可能还是比数学系的内容少)。...
评分我写了两份文档,但豆瓣上不能编辑公式,所以只把不涉及公式的一部分小结贴出来。) “近年来最具创新性的线性代数教材,每一位大学生都不可错过.” 这是写在中译版背后的语录.冲着“每一位大学生”,我开始读这本书.原本只是为了复习一下已经忘得差不多的大一课程,...
评分习题确实很启发。。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
评分一本不错的书,翻译的也还可以,书中的习题很好,值得认真做做。我是在重修线性代数之前买来用作复习之用,书中一些翻译的概念和原本我所使用的教材略有出入,但是不影响理解。感觉书中的习题都很不错,并且在网上能够找到对应的习题答案,很不错,网址如下:http://linearalge...
觀點很新穎, 值得一看!
评分觀點很新穎, 值得一看!
评分解决了一些我长久以来的问题...... 应该早点读的
评分解决了一些我长久以来的问题...... 应该早点读的
评分解决了一些我长久以来的问题...... 应该早点读的
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