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Advanced Linear Algebra

A second pass on linear algebra with real machinery -- duality, forms, spectral theory over the complex numbers, canonical forms, matrix factorizations, the singular value decomposition, and multilinear algebra -- for everything Linear Algebra I promised it would hand off.

Free to read now, no account needed: Readiness review. Create a free account to open the other chapters, take the quizzes and keep your progress.

1 Vector spaces over a field πŸ”’

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  • What a field is ~18 min
  • Vector spaces over β„š, ℝ, β„‚, and π”½β‚š ~18 min
  • Familiar spaces reread in field-general language ~16 min
  • Infinite-dimensional spaces: polynomials, sequences, functions ~16 min
  • The exchange lemma and why dimension is well-defined ~18 min
  • Sums of subspaces and the dimension formula ~18 min
  • Direct sums ~16 min
  • Complements and the projections they define ~16 min
  • Quotient spaces V/W ~18 min
  • The first isomorphism theorem for vector spaces ~18 min

2 Linear maps and the algebra of operators πŸ”’

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  • L(V,W) is itself a vector space ~16 min
  • Rank-nullity, proved from the quotient ~14 min
  • Direct sums of maps and block matrices ~16 min
  • Invariant subspaces ~14 min
  • Block-triangular form from an invariant subspace ~16 min
  • The algebra L(V): composition, powers, polynomials in T ~16 min
  • Nilpotent operators, first look ~14 min
  • Idempotents and projections (EΒ² = E) ~16 min
  • What similarity actually classifies ~16 min

3 Duality πŸ”’

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  • Linear functionals ~14 min
  • The dual space V* ~14 min
  • Dual bases ~16 min
  • Coordinates are functionals ~14 min
  • The dual of an infinite-dimensional space ~14 min
  • Annihilators ~14 min
  • Annihilators and dimension ~14 min
  • The dual (transpose) map T* ~16 min
  • The matrix of the dual map is the transpose ~16 min
  • The double dual and natural vs. non-natural isomorphism ~18 min

4 Bilinear, quadratic, and Hermitian forms πŸ”’

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  • Bilinear forms ~15 min
  • The Gram matrix of a form ~15 min
  • Change of basis for forms: congruence, not similarity ~16 min
  • Symmetric and alternating forms ~15 min
  • Quadratic forms and polarization ~16 min
  • Diagonalizing a form by completing the square ~17 min
  • Sylvester's law of inertia ~16 min
  • Signature and the classification of real quadratic forms ~15 min
  • Nondegenerate forms and orthogonal complements ~16 min
  • Sesquilinear and Hermitian forms over C ~17 min

5 Inner product spaces and adjoints πŸ”’

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  • Inner products over R and C ~16 min
  • Norms from inner products, and norms that aren't ~15 min
  • Cauchy-Schwarz and the triangle inequality, proved ~16 min
  • Orthonormal bases and Fourier coefficients ~16 min
  • Gram-Schmidt in a function space: Legendre polynomials ~17 min
  • Orthogonal complements and V = W (+) W-perp ~16 min
  • Orthogonal projection and best approximation ~16 min
  • Least squares as best approximation ~15 min
  • The Riesz representation theorem ~17 min
  • The adjoint operator T* ~17 min
  • The four fundamental subspaces via the adjoint ~16 min

6 Spectral theory πŸ”’

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  • Every operator on a complex space has an eigenvalue ~16 min
  • Invariant subspaces and upper-triangular form ~16 min
  • Schur's theorem ~17 min
  • The minimal polynomial ~16 min
  • Minimal versus characteristic polynomial ~16 min
  • Diagonalizability and the minimal polynomial's roots ~16 min
  • Self-adjoint operators and real eigenvalues ~15 min
  • The real spectral theorem ~17 min
  • Normal operators ~15 min
  • The complex spectral theorem ~17 min
  • Unitary and orthogonal operators ~16 min
  • Spectral decomposition as a sum of projections, and simultaneous diagonalization ~17 min

7 Canonical forms πŸ”’

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  • Why diagonalization can fail ~15 min
  • Generalized eigenvectors ~15 min
  • Generalized eigenspaces ~15 min
  • Nilpotent operators and their structure ~16 min
  • Jordan chains ~16 min
  • The Jordan canonical form ~17 min
  • Computing the Jordan form from rank counts and dot diagrams ~17 min
  • The Jordan-Chevalley (S + N) decomposition ~16 min
  • Primary decomposition ~17 min
  • Cyclic subspaces and companion matrices ~16 min
  • Rational canonical form, invariant factors, and elementary divisors ~17 min

8 Polynomial and functional calculus πŸ”’

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  • Polynomials of an operator, revisited ~15 min
  • The Cayley-Hamilton theorem ~16 min
  • Cayley-Hamilton via the Jordan form ~15 min
  • The spectral mapping theorem ~15 min
  • Inverses from polynomials ~15 min
  • Functions of a diagonalizable matrix ~16 min
  • Functions of a general matrix, via Jordan blocks ~17 min
  • The matrix exponential ~17 min
  • Matrix logarithms and square roots ~16 min
  • Linear systems x' = Ax, stability, and phase portraits ~17 min

9 Matrix factorizations πŸ”’

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  • What each factorization actually buys ~15 min
  • LU and Cholesky as a positive-definiteness certificate ~16 min
  • QR revisited: Householder and Givens versus Gram-Schmidt ~16 min
  • Schur decomposition, computed ~15 min
  • Normal matrices and unitary diagonalization as a Schur corollary ~15 min
  • Rank factorization A = CR ~15 min
  • The SVD: statement and existence ~17 min
  • Polar decomposition ~15 min
  • The pseudoinverse ~16 min
  • The Moore-Penrose conditions and least squares, again ~16 min

10 The singular value decomposition πŸ”’

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  • Singular values and singular vectors ~16 min
  • SVD geometry: rotate, stretch, rotate ~16 min
  • SVD versus eigendecomposition ~16 min
  • The four fundamental subspaces read off the SVD ~16 min
  • Rank, numerical rank, and the condition number ~16 min
  • The Eckart-Young theorem ~17 min
  • Low-rank approximation in practice ~16 min
  • Image compression ~15 min
  • PCA is an SVD ~17 min
  • Latent structure: recommenders, embeddings, and signals ~15 min

11 Spectral geometry and optimization πŸ”’

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  • Quadratic forms as surfaces ~15 min
  • Conics, quadrics, and the principal-axis theorem ~16 min
  • Ellipsoids and the shape of a positive definite matrix ~15 min
  • Positive definite and semidefinite matrices ~15 min
  • Four tests for definiteness, and when each is the right one ~16 min
  • The Rayleigh quotient ~15 min
  • Rayleigh-Ritz and the extreme eigenvalues ~16 min
  • The Courant-Fischer min-max theorem ~17 min
  • Eigenvalue interlacing and Weyl's inequality ~17 min
  • Constrained quadratic optimization and the generalized eigenvalue problem ~17 min

12 Operators, norms, and infinite dimensions πŸ”’

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  • Operators on function spaces ~15 min
  • Matrix norms and operator norms ~16 min
  • The induced 2-norm and the spectral radius ~16 min
  • Gelfand's formula and when A^n converges to zero ~16 min
  • The Neumann series and the resolvent ~16 min
  • Conditioning and the perturbation of eigenvalues ~17 min
  • Approximate eigenvectors and why the spectrum can be unstable ~17 min
  • Orthogonal versus oblique projections ~16 min
  • Compact operators: an introductory look ~16 min
  • What actually breaks in infinite dimensions ~17 min

13 Multilinear and exterior algebra πŸ”’

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  • Multilinear maps ~15 min
  • The tensor product and its universal property ~17 min
  • Bases and coordinates for tensors ~16 min
  • Covariant, contravariant, and mixed tensors ~17 min
  • Contraction and the trace ~16 min
  • Alternating multilinear forms ~15 min
  • The wedge product ~16 min
  • Exterior powers Λᡏ V and the dimension count ~16 min
  • Determinants as alternating multilinear forms ~17 min
  • Oriented area, volume, and orientation ~15 min
  • The Grassmann algebra and where differential forms pick up ~15 min