Linear Algebra Done Right pdf epub mobi txt 电子书下载 2025

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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。

出版者:Springer

作者:Sheldon Axler

出品人:

页数:268

译者:

出版时间:1997-7-18

价格:USD 44.95

装帧:Paperback

isbn号码:9780387982588

丛书系列:Undergraduate Texts in Mathematics

图书标签:

数学
线性代数
Algebra
Mathematics
LinearAlgebra
教材
代数
经典

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This text for a second course in linear algebra, aimed at math majors and graduates, adopts a novel approach by banishing determinants to the end of the book and focusing on 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 has an eigenvalue. The book starts by discussing vector spaces, linear independence, span, basics, 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. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition features new chapters on diagonal matrices, on linear functionals and adjoints, and on the spectral theorem; some sections, such as those on self-adjoint and normal operators, have been entirely rewritten; and hundreds of minor improvements have been made throughout the text.

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读后感

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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...

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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。

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以下内容是初读此书时写的，有些内容经过一段时间的学习发现许多并不准确，但也不想修改。此书在数学的学习中只能是基础中的基础（找professor时候说我认真学完了这本书他鄙视了一番，you should read xxxx, not liike Sheldon Axler），属于那种数学领域的入门级读物，要是真...

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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...