BBP phase transition

E898469

The BBP phase transition is a phenomenon in random matrix theory describing the critical point at which an eigenvalue associated with a low-rank perturbation separates from the bulk spectrum, leading to a detectable “spike.”

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BBP phase transition canonical 1

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Predicate Object
instanceOf mathematical phenomenon ⓘ
phase transition in random matrix theory ⓘ
alsoKnownAs Baik–Ben Arous–Péché phase transition ⓘ
appliesTo Wigner-type random matrices ⓘ
low-rank perturbations of large random matrices ⓘ
sample covariance matrices ⓘ
spiked random matrix models ⓘ
characterizedBy change in eigenvector alignment with the signal direction ⓘ
eigenvalue leaving the support of the limiting spectral distribution ⓘ
transition between undetectable and detectable spikes ⓘ
concerns fluctuations of the top eigenvalue near the critical point ⓘ
largest eigenvalue behavior under rank-one perturbations ⓘ
threshold for eigenvalue separation from the bulk ⓘ
describes critical point where an eigenvalue separates from the bulk spectrum ⓘ
detectability threshold for a spike in spiked random matrix models ⓘ
emergence of an outlier eigenvalue due to low-rank perturbation ⓘ
field mathematical statistics ⓘ
probability theory ⓘ
random matrix theory ⓘ
hasAspect critical regime with nonstandard fluctuation behavior ⓘ
subcritical regime where spike is not detectable ⓘ
supercritical regime where an outlier eigenvalue appears ⓘ
hasImplication design of optimal tests for spiked alternatives ⓘ
fundamental detection limits in noisy matrix models ⓘ
limits of PCA for weak signals in high dimensions ⓘ
introducedIn paper by Baik, Ben Arous, and Péché on eigenvalues of deformed random matrices ⓘ
involves low-rank deformation of invariant random matrix ensembles ⓘ
spectral properties of large random matrices ⓘ
mathematicalContext asymptotic regime of large matrix dimension ⓘ
limit of eigenvalue distributions ⓘ
namedAfter Gérard Ben Arous ⓘ
Jinho Baik ⓘ
Sandrine Péché ⓘ
relatedTo Marchenko–Pastur law ⓘ
Tracy–Widom distribution ⓘ
eigenvalue outliers ⓘ
phase transitions in high-dimensional statistics ⓘ
principal component analysis ⓘ
signal detection in high dimensions ⓘ
spiked covariance model ⓘ
usedIn finance and portfolio theory ⓘ
genomics and population genetics ⓘ
high-dimensional hypothesis testing ⓘ
statistical signal processing ⓘ
wireless communications ⓘ
yearIntroduced 2005 ⓘ

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random matrix theory → hasKeyConcept → BBP phase transition ⓘ