《线性代数应该这样学》—— 谢尔顿·阿克斯勒
Linear algebra done right

原始链接: https://linear.axler.net/

谢尔顿·阿克斯勒(Sheldon Axler)所著的《线性代数应该这样学》(*Linear Algebra Done Right*)是一本备受推崇的教科书,专为数学专业的本科生和研究生设计。该书目前已出至第四版,通过知识共享许可协议(Creative Commons)提供免费的开放获取资源,并已被翻译成多种语言。 本书以其创新的“无行列式”方法而著称,侧重于理解有限维向量空间上线性算子的结构。通过将行列式的内容置于书末,阿克斯勒提供了更直观、更优雅的证明,强调清晰度与概念动机。更新后的第四版增加了250多道新习题、70个新示例以及多项内容的扩展。 该书已被数百所大学广泛采用,评论家称赞其为“教学杰作”,因其精确性和独特的视角而广受好评。书中涵盖了从向量空间、线性映射到特征值、特征向量及奇异值分解等核心主题。无论用于课程学习还是自主钻研,这本书对于掌握线性代数基础的学生来说,依然是一本性价比极高的畅销教材。

关于谢尔顿·阿克斯勒(Sheldon Axler)所著《线性代数应该这样学》(LADR)的 Hacker News 讨论,反映了关于如何教授线性代数这一问题的广泛争议。用户大多认为,“正确”的参考资料很大程度上取决于读者的目标——无论是为了追求计算能力、几何直觉,还是抽象数学的严谨性。 * **《线性代数应该这样学》(Axler):** 因其清晰、侧重证明且抽象的风格而备受赞誉,但许多人指出它更适合作为数学专业学生的“第二门课程”。批评者经常指出他剔除行列式的做法颇具争议,一些人认为这会分散注意力或动机不足。 * **《线性代数导论》(Strang):** 对初学者而言强烈推荐,尤其是搭配他著名的麻省理工学院公开课(MIT OCW)使用时。用户看重他直观且侧重应用的风格,尽管一些人认为这本教科书本身对于自学来说不够条理清晰。 * **其他值得提及的作品:** 《线性代数及其应用》(Lay)被誉为兼顾清晰度与实际应用的典范。其他人则推荐《线性代数》(Friedberg, Insel, and Spence)以实现理论与计算的平衡,或为偏好简洁、手把手教学的读者推荐《线性代数无废话指南》(The No Bullshit Guide to Linear Algebra)。 归根结底,参与者们强调,线性代数是一门困难且结构松散的学科,能否学好取决于是否选择了符合个人学习风格的教材。
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原文
Linear Algebra Done Right

The fourth and most recent edition of Linear Algebra Done Right is an Open Access book available in English, Chinese, Farsi, Greek, and Portuguese. Other languages are coming soon.

Electronic versions of this fourth edition, which has a Creative Commons BY-NC license, are legally availble without cost at the links below.

The fourth edition of Linear Algebra Done Right contains over 250 new exercises and over 70 new examples, along with several new topics and multiple improvements throughout the book. See page xvi in the English file linked above for a list of major improvements and additions in the fourth edition.

The hardcover print version of the fourth edition of Linear Algebra Done Right is available from Amazon at the link below.

Print versions of translations of the fourth edition into Greek and into Portuguese are available at booksellers in appropriate countries.

Print versions of translations of the third edition into Basque and Chinese are available from Amazon at the links below.


This best-selling textbook for a second course in linear algebra is aimed at undergraduate 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.

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 then introduced, leading to the finite-dimensional spectral theorem and its consequences such as the singular value decomposition. Generalized eigenvectors are then used to provide insight into the structure of a linear operator. Determinants are cleanly introduced via alternating multilinear forms.


Excerpts from Reviews

Altogether, the text is a didactic masterpiece.
zbMATH

Axler demotes determinants (usually quite a central technique in the finite dimensional setting, though marginal in infinite dimensions) to a minor role. To so consistently do without determinants constitutes a tour de force in the service of simplicity and clarity; these are also well served by the general precision of Axler's prose... 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

If you liked the previous editions, you will like this new edition even better!
Monatshefte für Mathematik

customer reviews from Amazon


  • textbook adoptions: list of 430 universities and colleges that have used Linear Algebra Done Right as a textbook

Follow @AxlerLinear on X (Twitter) for updates on this book.

Linear Algebra Done Right usually has the best Amazon sales rank of any linear algebra book at this level. The hardcover version of Linear Algebra Done Right usually costs considerably less than hardcover versions of competing linear algebra textbooks.


This book is partly based on ideas contained in my paper Down with Determinants!, published in the American Mathematical Monthly. This paper received the Lester R. Ford Award for expository writing from the Mathematical Association of America.

Questions or comments about Linear Algebra Done Right can be sent to the author at [email protected].


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