About Us

Math shortcuts, Articles, worksheets, Exam tips, Question, Answers, FSc, BSc, MSc

More about us

Keep Connect with Us

  • =

Login to Your Account

Linear Algebra Done Right by Sheldon Axler




Linear Algebra Done Right - Table of Contents

1. Vector Spaces 2. Finite-Dimensional Vector Spaces 3. Linear Maps 4. Polynomials 5. Eigenvalues and Eigenvectors 6. Inner Product Spaces 7. Operators on Inner Product Spaces 8. Operators on Complex Vector Spaces 9. Multilinear Algebra and Determinants

What You Will Learn in Linear Algebra Done Right

"Linear Algebra Done Right" is a modern and theory-focused textbook on "Linear Algebra", written by mathematician "Sheldon Axler". Unlike traditional books that rely heavily on determinants and computational formulas, it emphasizes understanding "Vector Spaces", linear maps, and eigenvalues from a conceptual perspective. This approach helps students grasp the deeper structure of mathematics rather than only procedural techniques. The book is popular in advanced undergraduate courses because it develops intuition about "Linear Transformations" and operator theory before introducing determinants. Topics such as basis, dimension, and inner product spaces are explained with clear proofs and minimal reliance on matrix computations. This makes it ideal for learners who want a rigorous foundation in mathematics and preparation for higher studies in pure or applied fields. Overall, "Linear Algebra Done Right" is highly regarded for its clean style and logical progression. It challenges students to think abstractly while still providing exercises that reinforce understanding. Many mathematics departments use it as a second course in "Linear Algebra" after an introductory text. If you prefer learning mathematics in a conceptual and structured way, this book is an excellent choice for mastering the subject.

Book Details & Specifications

Title: Linear Algebra Done Right by Sheldon Axler
Publisher: Springer
Year: 2023
Pages: 352
Type: PDF
Language: English
ISBN-10 #: 3031410254
ISBN-13 #: 978-3031410253
License: CC BY-NC 4.0
Amazon: Amazon

About the Author: Sheldon Axler

The author Sheldon Axler is a Professor Emeritus of the Mathematics Department at San Francisco State University. He is known for teaching "linear algebra" with a conceptual approach. His work emphasizes understanding "vector spaces" and "linear transformations" rather than heavy computation. He has contributed to mathematics education by simplifying abstract ideas and focusing on theoretical foundations. He authored Linear Algebra Done Right, a respected textbook that presents algebra through proofs and conceptual reasoning. The book helps students develop strong skills in "mathematical proofs" and deeper understanding of algebraic structures, making it valuable for advanced "mathematics education" and theoretical studies.


Free Linear Algebra Books PDF | Download University Textbooks

Linear Algebra - André Hensbergen, Nikolaas Verhulst | PDF
Linear Algebra by André Hensbergen & Nikolaas Verhulst offers a clear introduction to vectors, matrices, and equations for engineering students.
Advanced Linear Algebra - Robert Geijn (PDF)
This textbook covers linear systems and Gauss' method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues.
Comprehensive Linear Algebra 3 - Broida & Williamso | PDF
Volume 3 explores linear operators and tensors, explaining advanced linear algebra concepts with clear theory and examples.
Linear Algebra via Exterior Products - Sergei Winitzki
The book explains geometric and algebraic ideas behind vector spaces and connects them to real-world problems in fields like physics and engineering.
Super Special Codes Using Super Matrices - V. Kandasamy PDF
A research-focused book on super matrices and coding theory by W. B. Vasantha Kandasamy and Florentin Smarandache.

Mathematics Book Categories

Algebra & Trig. / Precalculus
Basic Algebra
Trigonometry
Calculus
Calculus with Analytical Geometry
Single Variable Calculus
Differential Calculus
Integral Calculus
Multivariable Calculus
Advanced Calculus
Calculus of Variation
Geometry
Elementary Geometry
Analytic Geometry
Differential Geometry
Algebraic Geometry
Non Euclidean Geometry
Computational Geometry
Topology
Discrete Mathematics
Probability & Statistics
Introductory Statistics
Probability & Stochastic
Mathematical Statistics
Statistical Learning
Bayesian Statistics
Applied Statistics
Mathematical Analysis
Real Analysis
Complex Analysis
Fourier Analysis
Functional Analysis
Abstract Algebra
Number Theory
Applied Mathematics
Mathematical Methods
Differential Equations
Computational Mathematics
Numerical Analysis
Mathematical Modeling
Mathematical Physics
Engineering Mathematics
History of Mathematics

.