- Basic ensembles in random matrix theory.
- Statistics of eigenvalues and eigenvectors.
- Coulomb gas and beta-ensembles.
- Invariant ensembles.
- Unitary ensembles and determinantal point processes.
- Orthogonal polynomial method.
- Local and global statistics. Loop equations.
- Dyson's Brownian motion.
- Non-invariant ensembles.
- Semi-circle law.
- Resolvent and combinatorial methods.
- General determinantal point processes and applications.
FSF3624 Random Matrices 7.5 credits
Content and learning outcomes
Course contents
Intended learning outcomes
The goal of the course is to discuss the basic results in random matrix theory and also give some insight into the relation of random matrix theory to other areas, e.g. spectral theory and two-dimensional statistical physics.
Literature and preparations
Specific prerequisites
A Master degree including at least 30 university credits (hp) in in Mathematics.
A basic knowledge ofintegration theory (e.g. SF 2709 Integration theory), probability theory and functional analysis.
Recommended prerequisites
Equipment
Literature
Handouts and lecture notes. A list of recommended literature will be handed out at the beginning of the course.
For the interested reader, we recommend the following books
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An Introduction to Random Matrices, by Greg Anderson, Alice Guionnet, Ofer Zeitouni
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Topics in Random Matrix Theory, by Terry Tao
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Orthogonal Polynomials and Random Matrices: A Riemann-Hilbert approach, by Percy Deift
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- INL1 - Assignments, 7.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Hand in assignments and an oral presentation on some topic related to the course.
Other requirements for final grade
Accepted assignments and an oral presentation.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.