On the spectra of nonsymmetric Laplacian matrices

By Rafig P. Agaev, Pavel Yu. Chebotarev. 2005

194 citations recorded by the source corpus.

Abstract A Laplacian matrix, L = ( l ij ) ∈ R n × n , has nonpositive off-diagonal entries and zero row sums. As a matrix associated with a weighted directed graph, it generalizes the Laplacian matrix of an ordinary graph. A standardized Laplacian matrix is a Laplacian matrix with - 1 n ⩽ l ij ⩽ 0 whenever j ≠ i. We study the spectra of Laplacian matrices and relations between Laplacian matrices and stochastic matrices. We prove that the standardized Laplacian matrices L ∼ are semiconvergent. The multiplicities of 0 and 1 as the eigenvalues of L ∼ are equal to the in-forest dimension of the corresponding digraph and one less than the in-forest dimension of the complementary digraph, respectively. We localize the spectra of the standardized Laplacian matrices of order n and study the asymptotic properties of the corresponding domain. One corollary is that the maximum possible imaginary part of an eigenvalue of L ∼ converges to 1 π as n → ∞.

Subfields: Computational Theory and Mathematics, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/b2e2b7f9f5fb7a91337981d660208d70d3921890

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In Computational Theory and Mathematics

  1. Steve Smale
  2. Wei Ren
  3. Felipe Cucker
  4. Anton V. Proskurnikov
  5. Rafig P. Agaev
  6. Pavel Yu. Chebotarev
  7. Roberto Tempo
  8. Richard A. Brualdi

In Geometry and Topology

  1. Wei Ren
  2. Felipe Cucker
  3. Steve Smale
  4. Anton V. Proskurnikov
  5. Rafig P. Agaev
  6. Pavel Yu. Chebotarev
  7. Roberto Tempo
  8. Richard A. Brualdi

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