Wigner semicircle law

E898462

The Wigner semicircle law is a fundamental result in random matrix theory that describes how the eigenvalues of large random symmetric (or Hermitian) matrices are distributed according to a characteristic semicircular density.

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Statements (48)

Predicate Object
instanceOf limit theorem
probability law
theorem in random matrix theory
appliesTo large random Hermitian matrices
large random symmetric matrices
assumes finite variance entries
identically distributed off-diagonal entries
independent matrix entries up to symmetry
mean-zero entries
concernsLimit matrix size n → ∞
concernsObject Wigner matrices NERFINISHED
concernsQuantity eigenvalue density
spectral measure
describes empirical spectral distribution of eigenvalues
limiting eigenvalue distribution of random matrices
field mathematical physics
probability theory
random matrix theory
hasAlternativeName Wigner’s semicircle distribution NERFINISHED
semicircular law NERFINISHED
hasConvergenceType almost sure convergence GENERATED
weak convergence of measures GENERATED
hasDensityFormula (1/(2πσ²))·sqrt(4σ² - x²) on [-2σ,2σ]
hasDensityShape semicircle
hasGeneralization free central limit theorem NERFINISHED
hasParameter variance parameter σ²
hasSupport compact interval
hasSymmetry symmetric density around 0
hasTypicalSupportForm [-2σ, 2σ]
holdsFor Gaussian Orthogonal Ensemble NERFINISHED
Gaussian Symplectic Ensemble NERFINISHED
Gaussian Unitary Ensemble NERFINISHED
implies convergence of empirical spectral distribution
introducedBy Eugene Wigner NERFINISHED
isAnalogOf central limit theorem for eigenvalues
isSpecialCaseOf universality phenomena in random matrices
mathematicalDomain matrix analysis
spectral theory
namedAfter Eugene Wigner NERFINISHED
relatedTo Marchenko–Pastur law NERFINISHED
circular law
free probability theory
usedIn nuclear physics
number theory
quantum chaos
statistics of large data matrices
theory of disordered systems
yearIntroducedApprox 1950s

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random matrix theory hasKeyConcept Wigner semicircle law