scholarly journals Cumulants for finite free convolution

2018 ◽  
Vol 155 ◽  
pp. 244-266
Author(s):  
Octavio Arizmendi ◽  
Daniel Perales
Keyword(s):  
2015 ◽  
Vol 25 (3) ◽  
pp. 763-814 ◽  
Author(s):  
Alexey Bufetov ◽  
Vadim Gorin
Keyword(s):  

2012 ◽  
Vol 01 (03) ◽  
pp. 1250004 ◽  
Author(s):  
TIEFENG JIANG

We study the spectral properties of the Laplacian matrices and the normalized Laplacian matrices of the Erdös–Rényi random graph G(n, pn) for large n. Although the graph is simple, we discover some interesting behaviors of the two Laplacian matrices. In fact, under the dilute case, that is, pn ∈ (0, 1) and npn → ∞, we prove that the empirical distribution of the eigenvalues of the Laplacian matrix converges to a deterministic distribution, which is the free convolution of the semi-circle law and N(0, 1). However, for its normalized version, we prove that the empirical distribution converges to the semi-circle law.


1992 ◽  
Vol 153 (2) ◽  
pp. 217-248 ◽  
Author(s):  
Hari Bercovici ◽  
Dan-Virgil Voiculescu
Keyword(s):  

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