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Linear Algebra, Visually
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Chapter 11 of 16 · 1 h 25 min left
Cross products in the light of linear transformations | Chapter 11, Essence of linear algebra
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Chapters
· 16 chapters
Vectors and transformations
1
Vectors | Chapter 1, Essence of linear algebra
9:52
2
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
9:59
3
Linear transformations and matrices | Chapter 3, Essence of linear algebra
10:59
4
Matrix multiplication as composition | Chapter 4, Essence of linear algebra
10:04
5
Three-dimensional linear transformations | Chapter 5, Essence of linear algebra
4:46
Determinants and inverses
6
The determinant | Chapter 6, Essence of linear algebra
10:03
7
Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra
12:09
8
Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebra
4:27
Dot and cross products
9
Dot products and duality | Chapter 9, Essence of linear algebra
14:12
10
Cross products | Chapter 10, Essence of linear algebra
8:54
11
Cross products in the light of linear transformations | Chapter 11, Essence of linear algebra
13:10
Bases and eigenvectors
12
Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebra
12:12
13
Change of basis | Chapter 13, Essence of linear algebra
12:51
14
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
17:16
15
A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra
13:13
16
Abstract vector spaces | Chapter 16, Essence of linear algebra
16:46