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Local Expansion of Symmetrical Graphs

Published online by Cambridge University Press:  12 September 2008

László Babai
Affiliation:
Department of Computer Science, University of Chicago, Chicago, IL 60637-1504 and Department of Algebra, Eötvös University, Budapest, Hungary H-1088, E-mail: laci@cs.uchicago.edu
Mario Szegedy
Affiliation:
Department of Computer Science, University of Chicago, Chicago, IL 60637 and AT&T Bell Laboratories, Murray Hill, N.J. 07974, E-mail: ms@research.att.com

Abstract

A graph is vertex-transitive (edge-transitive) if its automorphism group acts transitively on the vertices (edges, resp.). The expansion rate of a subset S of the vertex set is the quotient e(S):= |∂(S)|/|S|, where ∂(S) denotes the set of vertices not in S but adjacent to some vertex in S. Improving and extending previous results of Aldous and Babai, we give very simple proofs of the following results. Let X be a (finite or infinite) vertex-transitive graph and let S be a finite subset of the vertices. If X is finite, we also assume |S| ≤|V(X)/2. Let d be the diameter of S in the metric induced by X. Then e(S) ≥1/(d + 1); and e(S) ≥ 2/(d +2) if X is finite and d is less than the diameter of X. If X is edge-transitive then |δ(S)|/|S| ≥ r/(2d), where ∂(S) denotes the set of edges joining S to its complement and r is the harmonic mean of the minimum and maximum degrees of X. – Diverse applications of the results are mentioned.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1992

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References

[1] Aldous, D.. On the Markov chain simulation method for uniform combinatorial distributions and simulated annealing. Probability in Engineering and Informational Sciences 1 (1987), 3346.CrossRefGoogle Scholar
[2] Alon, N. and Milman, V.. λ1, isoperimetric inequalities for graphs, and superconcentrators. J. Combinat. Theory-B 38 (1985), 7388.CrossRefGoogle Scholar
[3] Babai, L.. Arc transitive covering digraphs and their eigenvalues. J. Graph Theory 8 (1985), 363370.CrossRefGoogle Scholar
[4] Babai, L.. Bounded-round interactive proofs in finite groups. SIAM J. Discr. Math., to appear.Google Scholar
[5] Babai, L.. Local expansion of vertex-transitive graphs and random generation in finite groups. In Proc. 23rd ACM Symp. Theory of Computing, New Orleans LA, 1991, pp. 164174.Google Scholar
[6] Babai, L.. Deciding finiteness of matrix groups in Las Vegas polynomial time. In Proc. 3rd ACM-SIAM Symp. on Discrete Algorithms, Orlando FL 1992, pp. 3340.Google Scholar
[7] Babai, L.. Computational complexity in finite groups. Proc. International Congress of Mathematicians, Kyoto 1990, Springer, to appear.Google Scholar
[8] Babai, L.. Automorphism group, isomorphism, reconstruction: Chapter 27 in [18].Google Scholar
[9] Babai, L., Beals, R. M. and Rockmore, D.. Deciding finiteness of matrix groups in polynomial time. Manuscript, 1992.CrossRefGoogle Scholar
[10] Babai, L., Cooperman, G., Finkelstein, L. and Seress, A.. Nearly linear time algorithms for permutation groups with a small base. In Proc. ISSAC'91 (Internat. Symp. on Symbolic and Algebraic Computation), Bonn 1991, pp. 200209.CrossRefGoogle Scholar
[11] Babai, L., Fortnow, L. and Lund, C.. Nondeterministic exponential time has two-prover interactive protocols. Computational Complexity 1 (1991), 340.CrossRefGoogle Scholar
[12] Babai, L., Levin, L. A., Fortnow, L. and Szegedy, M.. Checking computations in polylogarithmic time. In Proc. 23rd ACM Symp. Theory of Computing, New Orleans LA 1991, pp. 2131.Google Scholar
[13] Bollobás, B.. Random Graphs. Academic Press, London 1985.Google Scholar
[14] Bollobás, B.. Combinatorics. Cambridge Univ. Press, Cambridge 1986.Google Scholar
[15] Bollobás, B. and Leader, I.. Isoperimetric inequalities and fractional set systems. J. Combinat. Theory, Ser. A 56 (1991), 6374.CrossRefGoogle Scholar
[16] Feige, U., Goldwasser, S., Lovász, L., Safra, S. and Szegedy, M.. Approximating clique is almost NP-complete. In Proc. 32nd IEEE Conf. Found. Comp. Sci., San Juan, Puerto Rico 1991, pp. 212.Google Scholar
[17] Frankl, P. and Füredi, Z.. A short proof for a theorem of Harper about Hamming-spheres. Discrete Mathematics 34 (1981), 311313.CrossRefGoogle Scholar
[18] Graham, R. L., Grötschel, M. and Lovász, L., eds. Handbook of Combinatorics. North-Holland, Amsterdam, to appear.Google Scholar
[19] Gromov, M.. Groups of polynomial growth and expanding maps. Publ. Math. I. H. E. S. 53 (1981), 5373.Google Scholar
[20] Harper, K. H.. Optimal numberings and isoperimetric problems on graphs. J. Combinatorial Theory 1 (1966), 385393.CrossRefGoogle Scholar
[21] Hart, S.. A note on the edges of the n-cube. Discr. Math. 14 (1976), 157163.CrossRefGoogle Scholar
[22] Lovász, L.. Combinatorial Problems and Exercises. Akadémiai Kiadó – North Holland, Budapest – Amsterdam, 1979Google Scholar
[23] Lubotzky, A., Phillips, R. and Sarnak, P.. Ramanujan graphs. Combinatorica 8 (1988), 261278.CrossRefGoogle Scholar
[24] Mader, W.. Über den Zusammenhang symmetrischer Graphen. Arch. Math. 22 (1971), 333336.CrossRefGoogle Scholar
[25] Margulis, G. A.. Explicit group theoretic constructions of combinatorial schemes and their applications for the construction of expanders and concentrators (in Russian). J. Probl. Info. Transmission 1988.Google Scholar
[26] Mohar, B. and Woess, W.. A survey on spectra of infinite graphs. Bull. London Math. Soc. 21 (1989), 209234.CrossRefGoogle Scholar
[27] Varopoulos, N. Th.. Isoperimetric inequalities and Markov chains. J. Funct. Anal. 63 (1985), 215239.CrossRefGoogle Scholar
[28] Varopoulos, N. Th.. Théorie du potential sur les groupes et des variétés. Comptes Rendus Acad. Sci. Paris 302, Sér. I. no 6 (1986), 203205.Google Scholar
[29] Watkins, M. E.. Connectivity of transitive graphs. J. Comb. Theory 8 (1970), 2329.CrossRefGoogle Scholar