發表於2025-04-13
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
Linear Algebra Done Right (3rd ed) 下載 mobi pdf epub txt 電子書 格式 2025
Linear Algebra Done Right (3rd ed) 下載 mobi epub pdf 電子書##首先要聲明的是,這本書可以說是一本介於工科綫性代數與數學係高等代數之間的書。換句話說,這本書是一本單純介紹綫性映射的書,幾乎不涉及到任何具體的“矩陣運算”問題。這本書和工科的綫性代數加起來,基本上就構成瞭數學係的高等代數的內容(可能還是比數學係的內容少)。...
評分 評分##考研的時候上過李永樂的綫性代數課,學到瞭很多計算方法和做題技巧,但僅限於這個層麵,對於一些綫性代數的insight完全不懂。最近在準備考博復習的時候,《矩陣論》這本書看的實在是太卡殼瞭,決定還是先補一下綫性代數的基礎知識,對綫性代數的認識不能隻停留在計算層麵,在知...
評分##我隻能說這對於中國大部分學生而言不是一本好的教材,對於工科生,很明顯太過於深入,幾乎沒有涉及到應用層麵,比如對角化、SVD分解、QR分解等等的重要應用一概沒有涉及。對於數學係同學,又不夠專業與深入。薄可能隻是第一印象,翻開基本上全是一堆定義、性質、定理、推論的堆...
評分##其實19年就買瞭這本書。當時幾乎沒有一頁能吸收。經過兩三年的自學數學,提高瞭數學成熟性,突然發現,能看懂瞭甚至能體會其美妙瞭。不過即使是數學係的,單獨這本書也是太過抽象,還是應該佐一本偏工科的高階綫性代數以獲得一些geometrical intuition.
評分##好多人打三星的理由都是這本書不適閤初學者學...但是這個不是從目錄就看得齣來嗎 跳過傳統教材中的矩陣/行列式直接從綫性空間/映射的角度入手我覺得對於後麵進階內容的學習很有幫助啊 況且大部分的綫代教材不太會講quotient space, duality, spectral theorem之類的吧 正如某位網友評論所道 “用泛函分析降維攻擊綫性代數” 這本書如果拿來第二遍復習鞏固的話會發現整個體係非常漂亮
評分##高等代數學,或依其主要講授內容稱之為綫性代數一直是教學方法難以得到統一的數學領域。就我之前翻閱過的《綫性代數(同濟)》將行列式作為基本工具首先介紹。引入逆序數概念,容易一開始就學得一頭霧水。《代數與幾何》作為我們使用的優秀教材,基本思路是通過描述綫性映...
評分Linear Algebra Done Right (3rd ed) mobi epub pdf txt 電子書 格式下載 2025