Lecture plan

The recordings of the lectures can be found in panopto. Note that it will take some time until they are published (as editing and processing takes some time).

Here are the lecture notes (they are essentially complete, but they will be updated if I find (or get informed of) errors:

In addition, I have made use of the following material:

Date Topics Reading Slides and Code
Topics in linear algebra
Week 34 Introduction
Vector spaces and subspaces
Linear independence and bases
Sums and direct sums of subspaces
Linear mappings and matrices
Invariant subspaces
Matrices of linear mappings
LN, Sec. 1.1-1.4
Ax, Chap. 1, 2, 3A-D
Lecture 1
Lecture 2
Week 35 Matrix decompositions
Eigenvalues and eigenvectors
Existence of eigenvalues
Schur triangulisation
Upper triangular matrices
Diagonalisation
LN, Sec. 1.4-1.8
Ax, Chap. 3A-D, 5
Lecture 3
Lecture 4
Week 36 Nilpotent matrices and operators
Generalised eigenspaces
Decomposition of operators in blockdiagonal form
Cayley-Hamilton Theorem
Minimal polynomial
Jordan normal form
LN, Sec. 1.9-1.11
Ax, Chap. 8
Lecture 5
Lecture 6
Inner product spaces
Week 37 Inner product spaces
Cauchy-Schwarz-Bunyakovsky inequality
Orthogonality and Gram-Schmidt orthogonalisation
Orthogonal projections
Singular values and singular value decomposition
Unitary transformations
Adjoints
LN, Sec. 2.1-2.5
Ax, Chap. 6
Lecture 7
Lecture 8
Week 38 Singular value decomposition
Moore-Penrose inverse
SVD of a matrix
Relation between singular values and eigenvalues
Self-adjoint and positive definite operators
LN, Sec. 2.5-2.9 Lecture 9
Lecture 10
Banach and Hilbert spaces
Week 39 Metrics and metric spaces
Convergence and continuity
Open and closed sets
Interior, closure and boundary
Cauchy sequences
Completeness
LN, Sec. 3.1-3.2
He, Sec. 2.1-2.6, 2.9
Lecture 11
Discrete_Deconvolution.ipynb
Lecture 12
Week 40 Completeness of \(C([0,1])\)
Lipschitz functions and contractions
Banach's fixed point Theorem
Application to integral equations
Picard-Lindelöf Theorem (existence for ODEs)
Normed spaces
LN, Sec. 3.2-3.5
He, Sec. 3.1
Lecture 13
Lecture 14
Fredholm_Integral_Equations.ipynb
Week 41 Normed Spaces
\(p\)-norms on \(\mathbb{K}^n\)
Hölder's inequality
Minkowski's inequality
Sequence spaces
Banach and Hilbert spaces
LN, Sec. 3.5-3.8
He, Sec. 3.1-3.2
Lecture 15
p_norms.ipynb
Lecture 16
Week 42 Completeness of \(\ell^p\)-spaces
Completions
LN, Sec. 3.8-3.9 Lecture 17
Bounded linear operators
Bounded linear operators
Relation between boundedness and continuity
Norms of bounded linear mappings
LN, Sec. 4.1-4.2
He 6.1-6.5
Lecture 18
Week 43 Norms of bounded linear mappings
Matrix norms
Extensions of linear mappings
Range and kernel
Invertibility of bounded linear mappings
LN, Sec. 4.2-4.4 Lecture 19
Lecture 20
Week 44 Completeness of \(L(U,V)\)
Linear functionals
The dual of a normed space
LN, Sec. 4.5 Lecture 21
Best approximations and projections
Projections on closed convex sets
Variational characterisation of projections
Projection onto closed linear subspaces
LN, Sec. 5.1 Lecture 22
Week 45 Orthogonal complements of linear subspaces
Duals of Hilbert spaces
Riesz representation theorem
Adjoint operators
LN, Sec. 5.2-5.4 Lecture 23
Lecture 24
Week 46 Countable and uncountable sets
Schauder bases
Orthonormal sequences in Hilbert spaces
Hilbert bases
Structure of separable Hilbert spaces
Galerkin's method
LN, Sec. 5.5-5.6 Lecture 25
Lecture 26
Summary and repetition
Week 47 Tuesday: Summary
Thursday: Questions and answers
LN Sec. 1.1-5.6 Summary
2023-11-21, Markus Grasmair