Improved Expansion of Random Cayley Graphs

In Random Cayley Graphs and Expanders, N. Alon and Y. Roichman proved that for every ε > 0 there is a finite c(ε) such that for any sufficiently large group G, the expected value of the second largest (in absolute value) eigenvalue of the normalized adjacency matrix of the Cayley grap...

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Main Authors: Po-Shen Loh, Leonard J. Schulman
Format: Article
Language:English
Published: Discrete Mathematics & Theoretical Computer Science 2004-12-01
Series:Discrete Mathematics & Theoretical Computer Science
Online Access:http://www.dmtcs.org/dmtcs-ojs/index.php/dmtcs/article/view/205
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author Po-Shen Loh
Leonard J. Schulman
author_facet Po-Shen Loh
Leonard J. Schulman
author_sort Po-Shen Loh
collection DOAJ
description In Random Cayley Graphs and Expanders, N. Alon and Y. Roichman proved that for every ε > 0 there is a finite c(ε) such that for any sufficiently large group G, the expected value of the second largest (in absolute value) eigenvalue of the normalized adjacency matrix of the Cayley graph with respect to c(ε) log |G| random elements is less than ε. We reduce the number of elements to c(ε)log D(G) (for the same c), where D(G) is the sum of the dimensions of the irreducible representations of G. In sufficiently non-abelian families of groups (as measured by these dimensions), log D(G) is asymptotically (1/2)log|G|. As is well known, a small eigenvalue implies large graph expansion (and conversely); see Tanner84 and AlonMilman84-2,AlonMilman84-1. For any specified eigenvalue or expansion, therefore, random Cayley graphs (of sufficiently non-abelian groups) require only half as many edges as was previously known.
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spelling doaj.art-55c510ef3e29497bb433f95a346e86882022-12-22T02:09:00ZengDiscrete Mathematics & Theoretical Computer ScienceDiscrete Mathematics & Theoretical Computer Science1462-72641365-80502004-12-0162Improved Expansion of Random Cayley GraphsPo-Shen LohLeonard J. SchulmanIn Random Cayley Graphs and Expanders, N. Alon and Y. Roichman proved that for every ε > 0 there is a finite c(ε) such that for any sufficiently large group G, the expected value of the second largest (in absolute value) eigenvalue of the normalized adjacency matrix of the Cayley graph with respect to c(ε) log |G| random elements is less than ε. We reduce the number of elements to c(ε)log D(G) (for the same c), where D(G) is the sum of the dimensions of the irreducible representations of G. In sufficiently non-abelian families of groups (as measured by these dimensions), log D(G) is asymptotically (1/2)log|G|. As is well known, a small eigenvalue implies large graph expansion (and conversely); see Tanner84 and AlonMilman84-2,AlonMilman84-1. For any specified eigenvalue or expansion, therefore, random Cayley graphs (of sufficiently non-abelian groups) require only half as many edges as was previously known.http://www.dmtcs.org/dmtcs-ojs/index.php/dmtcs/article/view/205
spellingShingle Po-Shen Loh
Leonard J. Schulman
Improved Expansion of Random Cayley Graphs
Discrete Mathematics & Theoretical Computer Science
title Improved Expansion of Random Cayley Graphs
title_full Improved Expansion of Random Cayley Graphs
title_fullStr Improved Expansion of Random Cayley Graphs
title_full_unstemmed Improved Expansion of Random Cayley Graphs
title_short Improved Expansion of Random Cayley Graphs
title_sort improved expansion of random cayley graphs
url http://www.dmtcs.org/dmtcs-ojs/index.php/dmtcs/article/view/205
work_keys_str_mv AT poshenloh improvedexpansionofrandomcayleygraphs
AT leonardjschulman improvedexpansionofrandomcayleygraphs