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YouTube

Essence of Linear Algebra

3Blue1Brown via YouTube

Overview

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Explore the fundamental concepts of linear algebra through a comprehensive video course that emphasizes visual understanding over traditional algebraic manipulation. Begin with the basics of vectors and their geometric interpretation, then progress through linear combinations, span, and basis vectors to build a solid foundation. Master linear transformations and matrices by understanding them as geometric operations, and discover how matrix multiplication represents the composition of transformations. Delve into three-dimensional transformations and learn to calculate and interpret determinants as measures of how transformations scale areas and volumes. Examine inverse matrices, column space, and null space to understand the structure of linear systems, and explore how nonsquare matrices transform between different dimensions. Investigate dot products through the lens of duality and master cross products both computationally and conceptually within the framework of linear transformations. Apply geometric intuition to understand Cramer's rule for solving linear systems and learn how change of basis transforms coordinate systems. Conclude with eigenvectors and eigenvalues, including computational tricks for finding eigenvalues, and extend your understanding to abstract vector spaces that generalize beyond traditional geometric vectors.

Syllabus

Vectors | Chapter 1, Essence of linear algebra
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
Linear transformations and matrices | Chapter 3, Essence of linear algebra
Matrix multiplication as composition | Chapter 4, Essence of linear algebra
Three-dimensional linear transformations | Chapter 5, Essence of linear algebra
The determinant | Chapter 6, Essence of linear algebra
Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra
Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebra
Dot products and duality | Chapter 9, Essence of linear algebra
Cross products | Chapter 10, Essence of linear algebra
Cross products in the light of linear transformations | Chapter 11, Essence of linear algebra
Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebra
Change of basis | Chapter 13, Essence of linear algebra
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra
Abstract vector spaces | Chapter 16, Essence of linear algebra

Taught by

3Blue1Brown

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