Title
Improved Expansion Of Random Cayley Graphs
Abstract
Alon and Roichman (1994) proved that for every epsilon > 0 there is a finite c(epsilon) 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(epsilon) log | G| random elements is less than epsilon. We reduce the number of elements to c(epsilon) logD(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 Tanner ( 1984) and Alon and Milman ( 1984, 1985). 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.
Year
Venue
Keywords
2004
DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE
expander graphs, Cayley graphs, second eigenvalue, logarithmic generators
Field
DocType
Volume
Adjacency matrix,Discrete mathematics,Random regular graph,Combinatorics,Vertex-transitive graph,Expander graph,Cayley table,Cayley graph,Cayley transform,Cayley's theorem,Mathematics
Journal
6
Issue
ISSN
Citations 
2
1462-7264
10
PageRank 
References 
Authors
1.04
5
2
Name
Order
Citations
PageRank
Po-Shen Loh113318.68
Leonard J. Schulman21328136.88