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Linear Algebra by Jason Siefken




Linear Algebra - Table of Contents

1. Sets, Vectors, and Notation 2. Sets of Vectors, Lines and Planes 3. Spans, Translated Spans and Linear Independence/Dependence 4. Dot Prudcts and Normal Forms 5. Projections and Vector Components 6. Subspaces and Bases 7. Matrix Representations of Systems of Linear Equations 8. Coordinates and Change of Basis 9. Linear Transformations 10. The Composition of Linear Transformations 11. Range and Nullspace of a Linear Transformation 12. Inverse Functions and Inverse Matrices 13. Change of Basis II 14. Determinants 15. Eigenvalues and Eigenvectors 16. Diagonalization

What You Will Learn in Linear Algebra

"Linear Algebra" by Jason Siefken is a modern introductory textbook designed to help students truly understand the foundations of "Linear Algebra" through active participation. Rather than presenting long lectures of theory, the book encourages learners to think, explore, and discover ideas on their own. Its clear structure and student-friendly tone make it well suited for first-year university courses. The book is organized into short modules that blend explanations with carefully designed questions and exercises. Topics such as vectors, matrices, systems of equations, and linear transformations are introduced gradually, allowing students to build intuition step by step. This "Inquiry-Based Learning" approach shifts the focus from memorizing formulas to developing reasoning skills and mathematical confidence through guided problem solving. Widely used as a classroom workbook and self-study resource, the book supports interactive teaching methods and collaborative learning. Its emphasis on "Conceptual Understanding" and "Mathematics Education" makes it especially helpful for students who find traditional textbooks overwhelming. Overall, Jason Siefken’s book offers a thoughtful, engaging, and accessible pathway into "Abstract Algebra" ideas at the introductory level.

Book Details & Specifications

Title: Linear Algebra by Jason Siefken
Publisher: Jason Siefken
Year: 2020
Pages: 219
Type: PDF
Language: English
ISBN-10 #: N\A
ISBN-13 #: N\A
License: CC BY-SA 4.0
Amazon: Amazon

About the Author: Jason Siefken

The author Jason Siefken is a mathematician and university educator known for his strong focus on "Mathematics Education" and student-centered teaching. He teaches at the "University of Toronto", where he works closely with undergraduate students in courses such as "Linear Algebra" and differential equations. As the author of "Linear Algebra", he emphasizes "Inquiry-Based Learning", encouraging students to explore ideas through guided problems and discussion. His teaching philosophy prioritizes "Conceptual Understanding" over memorization, helping learners develop intuition about vectors, matrices, and linear systems through active engagement and clear mathematical thinking.

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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

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