These videos should inform and entertain you, while providing insight and motivation. Click on a link below to see a video about the corresponding section of Linear Algebra Done Right (third edition) [if you are in a country where YouTube is blocked, try this website instead of the links below].

Each “slides” link gives a pdf file of the slides that accompany the corresponding video. These slides are designed to be viewed in Adobe Acrobat with magnification set to “Zoom to Page Level”, not a web browser. For a single large pdf file containing the slides (without dropdown features and with less red) for all 50 videos, click here.

- Introduction

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- Section 1.A:
**R**^{n}and**C**^{n}

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- Section 1.B: Definition of Vector Space

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- Section 1.C: Subspaces

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- Section 2.A: Span and Linear Independence

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- Section 2.B: Bases

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- Section 2.C: Dimension

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- Section 3.A: The Vector Space of Linear Maps

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- Section 3.B: Null Spaces and Ranges

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- Section 3.C: Matrices, part 1: The Matrix of a Linear Map

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- Section 3.C: Matrices, part 2: Matrix Multiplication

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- Section 3.D: Invertibility and Isomorphic Vector Spaces

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- Section 3.E: Products and Quotients of Vector Spaces, part 1: Products

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- Section 3.E: Products and Quotients of Vector Spaces, part 2: Quotients

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- Section 3.F: Duality, part 1: Dual Bases and Dual Maps

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- Section 3.F: Duality, part 2: Annihilators and the Matrix of a Dual Map

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- Chapter 4: Polynomials

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- Section 5.A: Invariant Subspaces

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- Section 5.B: Eigenvectors and Upper-Triangular Matrices, part 1: Existence of Eigenvalues

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- Section 5.B: Eigenvectors and Upper-Triangular Matrices, part 2: Upper-Triangular Matrices

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- Section 5.C: Eigenspaces and Diagonal Matrices

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- Section 6.A: Inner Products and Norms, part 1: Inner Products

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- Section 6.A: Inner Products and Norms, part 2: Norms

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- Section 6.B: Orthonormal Bases

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- Section 6.C: Orthogonal Complements and Minimization Problems, part 1: Orthogonal Complements

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- Section 6.C: Orthogonal Complements and Minimization Problems, part 2: Minimization Problems

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- Section 7.A: Self-Adjoint and Normal Operators, part 1: Adjoints

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- Section 7.A: Self-Adjoint and Normal Operators, part 2: Self-Adjoint Operators

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- Section 7.A: Self-Adjoint and Normal Operators, part 3: Normal Operators

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- Section 7.B: The Spectral Theorem

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- Section 7.C: Positive Operators and Isometries, part 1: Positive Operators

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- Section 7.C: Positive Operators and Isometries, part 2: Isometries

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- Section 7.D: Polar Decomposition and Singular Value Decomposition, part 1: Polar Decomposition

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- Section 7.D: Polar Decomposition and Singular Value Decomposition, part 2: Singular Value Decomposition

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- Section 8.A: Generalized Eigenvectors and Nilpotent Operators, part 1: Null Spaces of Powers of an Operator

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- Section 8.A: Generalized Eigenvectors and Nilpotent Operators, part 2: Generalized Eigenvectors

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- Section 8.A: Generalized Eigenvectors and Nilpotent Operators, part 3: Nilpotent Operators

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- Section 8.B: Decomposition of an Operator, part 1: Decomposition Via Generalized Eigenvectors

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- Section 8.B: Decomposition of an Operator, part 2: Block Diagonal Matrices

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- Section 8.B: Decomposition of an Operator, part 3: Square Roots of Operators

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- Section 8.C: Characteristic and Minimal Polynomials, part 1: The Characteristic Polynomial

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- Section 8.C: Characteristic and Minimal Polynomials, part 2: The Minimal Polynomial

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- Section 8.D: Jordan form

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- Section 9.A: Complexification

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- Section 9.B: Operators on Real Inner Product Spaces, part 1: Normal Operators

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- Section 9.B: Operators on Real Inner Product Spaces, part 2: Isometries

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- Section 10.A: Trace, part 1: Change of Basis

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- Section 10.A: Trace, part 2: Trace of an Operator and of a Matrix

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- Section 10.B: Determinant, part 1: Determinant of an Operator and of a Matrix

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- Section 10.B: Determinant, part 2: Change of Variables in Integration in
**R**^{n}

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