Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 26 min ago
PreprintarXiv licencearXiv

Universality for the extreme eigenvalues of Laplacian random matrices

Abstract

We study the eigenvalues of the random Laplacian matrix $D - A$, where A is a Wigner matrix with sub-Gaussian entries and the diagonal matrix D contains the row sums of A. Our main results show that the extreme eigenvalues of this model exhibit Poisson statistics; in particular, after the appropriate centering and scaling, the largest eigenvalue converges to the Gumbel distribution as the dimension of the matrix tends to infinity. This confirms, for general sub-Gaussian entries, a phenomenon the authors previously established only in the Gaussian case [Electron. J. Probab. 30 (2025), Paper No. 104], resolving a conjecture raised there. As a corollary, for an Erdős--Rényi random graph, we show the asymptotic fluctuations of the algebraic connectivity (Fiedler value) can be described in terms of the Gumbel distribution.

Related

  1. Asymptotic spectral properties and extreme eigenvalues of sample correlation matrices from nonstationary high-dimensional VAR processes
    Ruihan Liu, Chen Wang
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  2. Universality for the global spectrum of random inner-product kernel matrices in the polynomial regime
    Sofiia Dubova, Yue M. Lu, Benjamin McKenna +1
    The Annals of Applied ProbabilityPeer-reviewedLicence not statedFull text19 citedStatisticsOpenAlex
  3. Quantitative universality for products of i.i.d. random matrices
    Nikita Lvov
    arXivPreprintCC BY 4.0Full textAlgebra & number theoryCombinatorics & discrete mathematicsarXiv
  4. A dynamic point of view on universality for random matrices over finite local rings
    Nikita Lvov
    arXivPreprintCC BY 4.0Full textAlgebra & number theoryCombinatorics & discrete mathematicsarXiv
  5. Universality of the cokernels of random p-adic matrices with inhomogeneously balanced columns
    Jungin Lee, Sungjin Park
    arXivPreprintarXiv licenceFull textAlgebra & number theoryProbabilityarXiv
BibTeX
@misc{campbell2026universality,
  title = {{Universality for the extreme eigenvalues of Laplacian random matrices}},
  author = {Andrew Campbell and Kyle Luh and Sean O'Rourke},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.09076},
  eprint = {2610.09076},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.09076},
}
RIS
TY  - UNPB
TI  - Universality for the extreme eigenvalues of Laplacian random matrices
AU  - Andrew Campbell
AU  - Kyle Luh
AU  - Sean O'Rourke
PY  - 2026
DA  - 2026/10/06
PB  - arXiv
DO  - 10.48550/arxiv.2610.09076
UR  - https://arxiv.org/abs/2610.09076
AB  - We study the eigenvalues of the random Laplacian matrix $D - A$, where A is a Wigner matrix with sub-Gaussian entries and the diagonal matrix D contains the row sums of A. Our main results show that the extreme eigenvalues of this model exhibit Poisson statistics; in particular, after the appropriate centering and scaling, the largest eigenvalue converges to the Gumbel distribution as the dimension of the matrix tends to infinity. This confirms, for general sub-Gaussian entries, a phenomenon the authors previously established only in the Gaussian case [Electron. J. Probab. 30 (2025), Paper No. 104], resolving a conjecture raised there. As a corollary, for an Erdős--Rényi random graph, we show the asymptotic fluctuations of the algebraic connectivity (Fiedler value) can be described in terms of the Gumbel distribution.
ER  -