https://linear.axler.net/LADRvideos.html Linear Algebra Done Right Sheldon Axler Videos 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, 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 slides (save and then open in Adobe Acrobat) * Section 1.A: R^n and C^n slides (save and then open in Adobe Acrobat) * Section 1.B: Definition of Vector Space slides (save and then open in Adobe Acrobat) * Section 1.C: Subspaces slides (save and then open in Adobe Acrobat) * Section 2.A: Span and Linear Independence slides (save and then open in Adobe Acrobat) * Section 2.B: Bases slides (save and then open in Adobe Acrobat) * Section 2.C: Dimension slides (save and then open in Adobe Acrobat) * Section 3.A: The Vector Space of Linear Maps slides (save and then open in Adobe Acrobat) * Section 3.B: Null Spaces and Ranges slides (save and then open in Adobe Acrobat) * Section 3.C: Matrices, part 1: The Matrix of a Linear Map slides (save and then open in Adobe Acrobat) * Section 3.C: Matrices, part 2: Matrix Multiplication slides (save and then open in Adobe Acrobat) * Section 3.D: Invertibility and Isomorphic Vector Spaces slides (save and then open in Adobe Acrobat) * Section 3.E: Products and Quotients of Vector Spaces, part 1: Products slides (save and then open in Adobe Acrobat) * Section 3.E: Products and Quotients of Vector Spaces, part 2: Quotients slides (save and then open in Adobe Acrobat) * Section 3.F: Duality, part 1: Dual Bases and Dual Maps slides (save and then open in Adobe Acrobat) * Section 3.F: Duality, part 2: Annihilators and the Matrix of a Dual Map slides (save and then open in Adobe Acrobat) * Chapter 4: Polynomials slides (save and then open in Adobe Acrobat) * Section 5.A: Invariant Subspaces slides (save and then open in Adobe Acrobat) * Section 5.B: Eigenvectors and Upper-Triangular Matrices, part 1: Existence of Eigenvalues slides (save and then open in Adobe Acrobat) * Section 5.B: Eigenvectors and Upper-Triangular Matrices, part 2: Upper-Triangular Matrices slides (save and then open in Adobe Acrobat) * Section 5.C: Eigenspaces and Diagonal Matrices slides (save and then open in Adobe Acrobat) * Section 6.A: Inner Products and Norms, part 1: Inner Products slides (save and then open in Adobe Acrobat) * Section 6.A: Inner Products and Norms, part 2: Norms slides (save and then open in Adobe Acrobat) * Section 6.B: Orthonormal Bases slides (save and then open in Adobe Acrobat) * Section 6.C: Orthogonal Complements and Minimization Problems, part 1: Orthogonal Complements slides (save and then open in Adobe Acrobat) * Section 6.C: Orthogonal Complements and Minimization Problems, part 2: Minimization Problems slides (save and then open in Adobe Acrobat) * Section 7.A: Self-Adjoint and Normal Operators, part 1: Adjoints slides (save and then open in Adobe Acrobat) * Section 7.A: Self-Adjoint and Normal Operators, part 2: Self-Adjoint Operators slides (save and then open in Adobe Acrobat) * Section 7.A: Self-Adjoint and Normal Operators, part 3: Normal Operators slides (save and then open in Adobe Acrobat) * Section 7.B: The Spectral Theorem slides (save and then open in Adobe Acrobat) * Section 7.C: Positive Operators and Isometries, part 1: Positive Operators slides (save and then open in Adobe Acrobat) * Section 7.C: Positive Operators and Isometries, part 2: Isometries slides (save and then open in Adobe Acrobat) * Section 7.D: Polar Decomposition and Singular Value Decomposition, part 1: Polar Decomposition slides (save and then open in Adobe Acrobat) * Section 7.D: Polar Decomposition and Singular Value Decomposition, part 2: Singular Value Decomposition slides (save and then open in Adobe Acrobat) * Section 8.A: Generalized Eigenvectors and Nilpotent Operators, part 1: Null Spaces of Powers of an Operator slides (save and then open in Adobe Acrobat) * Section 8.A: Generalized Eigenvectors and Nilpotent Operators, part 2: Generalized Eigenvectors slides (save and then open in Adobe Acrobat) * Section 8.A: Generalized Eigenvectors and Nilpotent Operators, part 3: Nilpotent Operators slides (save and then open in Adobe Acrobat) * Section 8.B: Decomposition of an Operator, part 1: Decomposition Via Generalized Eigenvectors slides (save and then open in Adobe Acrobat) * Section 8.B: Decomposition of an Operator, part 2: Block Diagonal Matrices slides (save and then open in Adobe Acrobat) * Section 8.B: Decomposition of an Operator, part 3: Square Roots of Operators slides (save and then open in Adobe Acrobat) * Section 8.C: Characteristic and Minimal Polynomials, part 1: The Characteristic Polynomial slides (save and then open in Adobe Acrobat) * Section 8.C: Characteristic and Minimal Polynomials, part 2: The Minimal Polynomial slides (save and then open in Adobe Acrobat) * Section 8.D: Jordan form slides (save and then open in Adobe Acrobat) * Section 9.A: Complexification slides (save and then open in Adobe Acrobat) * Section 9.B: Operators on Real Inner Product Spaces, part 1: Normal Operators slides (save and then open in Adobe Acrobat) * Section 9.B: Operators on Real Inner Product Spaces, part 2: Isometries slides (save and then open in Adobe Acrobat) * Section 10.A: Trace, part 1: Change of Basis slides (save and then open in Adobe Acrobat) * Section 10.A: Trace, part 2: Trace of an Operator and of a Matrix slides (save and then open in Adobe Acrobat) * Section 10.B: Determinant, part 1: Determinant of an Operator and of a Matrix slides (save and then open in Adobe Acrobat) * Section 10.B: Determinant, part 2: Change of Variables in Integration in R^n slides (save and then open in Adobe Acrobat) --------------------------------------------------------------------- * Linear Algebra Done Right main page --------------------------------------------------------------------- * Sheldon Axler's home page ---------------------------------------------------------------------