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  1. Home > Articles & Issues >
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  3. Improved Expansion o ...
Article

Improved Expansion of Random Cayley Graphs

Po-Shen Loh ORCID (1), Leonard J. Schulman (2)
(1) Churchill College [Cambridge]
(2) Computing and Mathematical Sciences [Pasadena]]
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Imported on
March 26, 2015
Published on
January 1, 2004
Last modified on
March 31, 2025
Volume 6
vol. 6:2
DOI
10.46298/dmtcs.316
License
https://about.hal.science/hal-authorisation-v1
National Science Foundation
0049092
CAREER: Computation Methods
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Improved Expansion of Random Cayley Graphs

Po-Shen Loh ORCID (1), Leonard J. Schulman (2)
(1) Churchill College [Cambridge]
(2) Computing and Mathematical Sciences [Pasadena]]
Abstract
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.
Keywords
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • expander graphs
  • Cayley graphs
  • second eigenvalue
  • logarithmic generators
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