For a fixed graph, B, we study a probability model of random covering maps of degree n. Specifically, we study spectral properties of new eigenvalues of the adjacency matrix of a random covering, and its Hashimoto matrix (i.e., the adjacency matrix of the associated directed line graph). Our main theorem says that if B is d-regular, then for every positive epsilon, the probability that a random covering has a new adjacency eigenvalue greater than 2(d-1)^(1/2) + epsilon tends to zero as n tends to infinity. This matches the generalized Alon-Boppana lower bound. For general base graphs, B, Friedman conjectured in that the new eigenvalue bound holds with 2(d-1)^(1/2) replaced with the spectral radius of the universal cover of B. We refer to ...
The goal of this thesis is to upper bound the expected value of the second largest eigenvalue in mag...
The goal of this thesis is to upper bound the expected value of the second largest eigenvalue in mag...
AbstractLet G be a simple graph of order n with t triangle(s). Also let λ1(G),λ2(G),…,λn(G) be the e...
For a fixed graph, B, we study a probability model of random covering maps of degree n. Specifically...
A d-regular graph has largest or first (adjacency matrix) eigenvalue λ1 = d. Consider for an even d ...
We present a new approach to showing that random graphs are nearly optimal expanders. This approach ...
ABSTRACT: We study here the spectra of random lifts of graphs. Let G be a finite connected graph, an...
In this thesis we prove the following results.1. We show that the multiplicity of the second normali...
In Random Cayley Graphs and Expanders, N. Alon and Y. Roichman proved that for every ε > 0 there is ...
We compute an asymptotic expansion in 1/c of the limit in n of the empirical spectral measure of the...
We consider higher-dimensional generalizations of the normalized Laplacian and the adjacency matrix ...
We bound the second eigenvalue of random $d$-regular graphs, for a wide range of degrees $d$, using ...
We consider higher-dimensional generalizations of the normalized Laplacian and the adjacency matrix ...
The main goal of this note is to illustrate the advantage of analyzing the non-backtracking spectrum...
We consider higher-dimensional generalizations of the normalized Laplacian and the adjacency matrix ...
The goal of this thesis is to upper bound the expected value of the second largest eigenvalue in mag...
The goal of this thesis is to upper bound the expected value of the second largest eigenvalue in mag...
AbstractLet G be a simple graph of order n with t triangle(s). Also let λ1(G),λ2(G),…,λn(G) be the e...
For a fixed graph, B, we study a probability model of random covering maps of degree n. Specifically...
A d-regular graph has largest or first (adjacency matrix) eigenvalue λ1 = d. Consider for an even d ...
We present a new approach to showing that random graphs are nearly optimal expanders. This approach ...
ABSTRACT: We study here the spectra of random lifts of graphs. Let G be a finite connected graph, an...
In this thesis we prove the following results.1. We show that the multiplicity of the second normali...
In Random Cayley Graphs and Expanders, N. Alon and Y. Roichman proved that for every ε > 0 there is ...
We compute an asymptotic expansion in 1/c of the limit in n of the empirical spectral measure of the...
We consider higher-dimensional generalizations of the normalized Laplacian and the adjacency matrix ...
We bound the second eigenvalue of random $d$-regular graphs, for a wide range of degrees $d$, using ...
We consider higher-dimensional generalizations of the normalized Laplacian and the adjacency matrix ...
The main goal of this note is to illustrate the advantage of analyzing the non-backtracking spectrum...
We consider higher-dimensional generalizations of the normalized Laplacian and the adjacency matrix ...
The goal of this thesis is to upper bound the expected value of the second largest eigenvalue in mag...
The goal of this thesis is to upper bound the expected value of the second largest eigenvalue in mag...
AbstractLet G be a simple graph of order n with t triangle(s). Also let λ1(G),λ2(G),…,λn(G) be the e...