Gaussian orthogonal ensemble

E443153

The Gaussian orthogonal ensemble is a fundamental random matrix ensemble of real symmetric matrices with Gaussian-distributed entries, central to the study of eigenvalue statistics and universality in random matrix theory.

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Observed surface forms (1)

Surface form Occurrences
Gaussian Orthogonal Ensemble 1

Statements (47)

Predicate Object
instanceOf Gaussian random matrix ensemble
probability distribution on matrices
random matrix ensemble
abbreviation GOE
application disordered systems
mesoscopic physics
multivariate statistics
nuclear physics
number theory
quantum chaos
statistical mechanics
belongsTo Wigner matrix ensembles NERFINISHED
betaEnsembleParameter 1
contrastWith Gaussian symplectic ensemble with beta equals 4 NERFINISHED
Gaussian unitary ensemble with beta equals 2 NERFINISHED
diagonalEntryVariance twice off-diagonal variance in standard normalization
DysonIndex 1
edgeEigenvalueDistribution Tracy–Widom distribution for beta equals 1
eigenvalueDensity Wigner semicircle law NERFINISHED
eigenvalueStatistics Wigner–Dyson statistics NERFINISHED
entryDistribution Gaussian distribution
field mathematical physics
probability theory
random matrix theory
hasSymmetryGroup orthogonal group O(n) NERFINISHED
introducedBy Eugene Wigner NERFINISHED
invarianceProperty invariant under orthogonal conjugation
jointEigenvalueDensity given by Vandermonde determinant to the first power times Gaussian weight
levelRepulsionExponent 1
matrixEntryMean 0
matrixEntryVariance depends on normalization convention
matrixType real symmetric matrices
probabilityDensityForm proportional to exp of minus n over 4 times trace of H squared in standard normalization
relatedConcept Dyson Brownian motion NERFINISHED
Gaussian symplectic ensemble NERFINISHED
Gaussian unitary ensemble NERFINISHED
orthogonal group NERFINISHED
scalingLimit Airy kernel at the soft edge NERFINISHED
sine kernel in the bulk
spectralMeasureLimit semicircle distribution
symmetryClass orthogonal symmetry
timeReversalSymmetry present
typicalMatrixSize n by n real symmetric matrix
typicalNormalization entries scaled by 1 over square root of matrix size
universalityRole prototype for universality of eigenvalue statistics
usedFor modeling spectra of time-reversal invariant quantum systems
usedIn universality proofs for Wigner matrices

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Wigner surmise ensembleType Gaussian orthogonal ensemble
random matrix theory hasKeyConcept Gaussian orthogonal ensemble
this entity surface form: Gaussian Orthogonal Ensemble