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.
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- Chapter overview
- Vector spaces, subspaces, span, and independence ~12 min
- Basis, dimension, and coordinates ~12 min
- Linear maps, kernel, image, and rank-nullity ~12 min
- Change of basis and similarity ~12 min
- Determinants and what they measure ~12 min
- Inner products, orthogonality, and GramβSchmidt ~12 min
- Eigenvalues, eigenvectors, and diagonalization ~12 min
- Complex numbers and complex arithmetic you'll need ~16 min
- Polynomials: division, roots, and factorization over β and β ~16 min
- Chapter wrap-up
1 Vector spaces over a field π
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- What a field is ~18 min
- Vector spaces over β, β, β, and π½β ~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 π
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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 π
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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 π
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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 π
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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 π
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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 π
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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 π
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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 π
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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 π
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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 π
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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 π
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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 π
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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 Ξα΅ 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