random matrix theory

E259756

Random matrix theory is a branch of mathematics and mathematical physics that studies the statistical properties of matrices with randomly chosen entries, with deep applications to fields such as number theory, quantum chaos, and statistical mechanics.

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random matrix theory canonical 1

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Predicate Object
instanceOf branch of mathematical physics
branch of mathematics
appliesTo compressed sensing
finance
machine learning
multivariate statistics
nuclear physics
number theory
quantum chaos
statistical mechanics
wireless communications
developedBy Eugene Wigner
Freeman Dyson
Leonid Pastur
Madame Tracy and Widom (Craig Tracy and Harold Widom)
Marcin Kac
Vladimir Marchenko
emergedIn 1950s
fieldOfStudy random matrices
hasApplicationType modeling complex quantum systems
modeling energy level statistics
modeling high-dimensional data
hasKeyConcept BBP phase transition
Dyson Brownian motion
Gaussian orthogonal ensemble
surface form: Gaussian Orthogonal Ensemble

Gaussian symplectic ensemble
surface form: Gaussian Symplectic Ensemble

Gaussian unitary ensemble
surface form: Gaussian Unitary Ensemble

Ginibre ensemble
Marchenko–Pastur law
Stieltjes transform
Tracy–Widom distribution
Wigner matrices
Wigner semicircle law
Wishart distribution
surface form: Wishart matrices

beta-ensembles
circular law
concentration of measure
delocalization of eigenvectors
determinantal point processes
eigenvalue rigidity
free probability
global spectral statistics
isotropic local laws
large deviations for eigenvalues
level repulsion
local semicircle law
local spectral statistics
non-Hermitian random matrices
orthogonal polynomial ensembles
random band matrices
resolvent method
sample covariance matrices
sparse random matrices
spiked models
universality
originatedIn nuclear physics
relatedTo GUE hypothesis for zeta zeros
Montgomery's pair correlation conjecture
surface form: Montgomery pair correlation conjecture

Riemann zeta function
surface form: Riemann zeta function zeros

quantum chaos conjectures
studies eigenvalue distributions of random matrices
eigenvector statistics of random matrices
spectral statistics
statistical properties of matrices with random entries
usedIn MIMO communication theory
high-dimensional statistics
mesoscopic physics
PCA
surface form: principal component analysis

quantum transport

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Riemann hypothesis relatedTo random matrix theory