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Article: Eigenvector distribution in the critical regime of BBP transition

TitleEigenvector distribution in the critical regime of BBP transition
Authors
KeywordsBBP transition
Eigenvector distribution
Eigenvector–eigenvalue identity
Extended Airy kernal
GUE minor process
Spiked random matrices
Issue Date2022
Citation
Probability Theory and Related Fields, 2022, v. 182, n. 1-2, p. 399-479 How to Cite?
AbstractIn this paper, we study the random matrix model of Gaussian Unitary Ensemble (GUE) with fixed-rank (aka spiked) external source. We will focus on the critical regime of the Baik–Ben Arous–Péché (BBP) phase transition and establish the distribution of the eigenvectors associated with the leading eigenvalues. The distribution is given in terms of a determinantal point process with extended Airy kernel. Our result can be regarded as an eigenvector counterpart of the BBP eigenvalue phase transition [6]. The derivation of the distribution makes use of the recently re-discovered eigenvector–eigenvalue identity, together with the determinantal point process representation of the GUE minor process with external source.
Persistent Identifierhttp://hdl.handle.net/10722/349566
ISSN
2023 Impact Factor: 1.5
2023 SCImago Journal Rankings: 2.326

 

DC FieldValueLanguage
dc.contributor.authorBao, Zhigang-
dc.contributor.authorWang, Dong-
dc.date.accessioned2024-10-17T06:59:23Z-
dc.date.available2024-10-17T06:59:23Z-
dc.date.issued2022-
dc.identifier.citationProbability Theory and Related Fields, 2022, v. 182, n. 1-2, p. 399-479-
dc.identifier.issn0178-8051-
dc.identifier.urihttp://hdl.handle.net/10722/349566-
dc.description.abstractIn this paper, we study the random matrix model of Gaussian Unitary Ensemble (GUE) with fixed-rank (aka spiked) external source. We will focus on the critical regime of the Baik–Ben Arous–Péché (BBP) phase transition and establish the distribution of the eigenvectors associated with the leading eigenvalues. The distribution is given in terms of a determinantal point process with extended Airy kernel. Our result can be regarded as an eigenvector counterpart of the BBP eigenvalue phase transition [6]. The derivation of the distribution makes use of the recently re-discovered eigenvector–eigenvalue identity, together with the determinantal point process representation of the GUE minor process with external source.-
dc.languageeng-
dc.relation.ispartofProbability Theory and Related Fields-
dc.subjectBBP transition-
dc.subjectEigenvector distribution-
dc.subjectEigenvector–eigenvalue identity-
dc.subjectExtended Airy kernal-
dc.subjectGUE minor process-
dc.subjectSpiked random matrices-
dc.titleEigenvector distribution in the critical regime of BBP transition-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00440-021-01062-4-
dc.identifier.scopuseid_2-s2.0-85107325152-
dc.identifier.volume182-
dc.identifier.issue1-2-
dc.identifier.spage399-
dc.identifier.epage479-
dc.identifier.eissn1432-2064-

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