Title :
Lack of spectral gap and hyperbolicity in asymptotic Erdo¨s-Renyi sparse random graphs
Author :
Narayan, Onuttom ; Saniee, Iraj ; Tucci, Gabriel H.
Author_Institution :
Dept. of Phys., Univ. of California Santa Cruz, Santa Cruz, CA, USA
Abstract :
We show that the normalized Laplacian of the giant component of the Erdös-Renyi random graph G(n, pn) in the regime pn = d/n for d a constant greater than 1 (sparse regime) has zero spectral gap as n → ∞. This is in contrast to earlier results showing the existence of a spectral gap when npn = O(log2(n)). We also prove that in the regime pn = d/n, for any δ >; 0 the Erdös-Renyi random graph has a positive probability of containing δ-fat triangles as n → ∞, thus showing that these graphs are asymptotically non-hyperbolic.
Keywords :
computational complexity; graph theory; probability; asymptotic Erdos-Renyi sparse random graphs; hyperbolicity; normalized Laplacian; probability; spectral gap; Eigenvalues and eigenfunctions; Extraterrestrial measurements; Geometry; Laplace equations; Physics; Vectors; Cheeger Constant; Hyperbolic Networks; Random Graphs; Spectral Gap;
Conference_Titel :
Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-0274-6
DOI :
10.1109/ISCCSP.2012.6217860