Skip to main content

Expander properties in random regular graphs with edge faults

  • Conference paper
  • First Online:
STACS 95 (STACS 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 900))

Included in the following conference series:

Abstract

Let H be an undirected graph. A random graph of type-H is obtained by selecting edges of H independently and with probability p. We can thus represent a communication network H in which the links fail independently and with probability f=1−p. A fundamental type of H is the clique of n nodes (leading to the well-known random graph G n,p ). Another fundamental type of H is a random member of the set G d n of all regular graphs of degree d (leading to a new type of random graphs, of the class G d n,p ). Note that G n,p =G n−1 n,p . The G d n,p model was introduced in ([11]).

Information about the remaining (with high probability) structure of type-H random graphs is of interest to applications in reliable network computing. For example, it is well known that any member of G d n is almost surely an efficient certifiable expander. Expanders are widely used in Computer Science. We have shown in ([11]) that G d n,p has a giant component of small diameter even when d=O(1). We wish to determine the minimum value of p for which the giant component of G d n,p remains a certifiable expander with high probability. In this paper we show that the second eigenvalue of the adjacency matrix of the giant component of G d n,p is concentrated in an interval of small width around its mean, and that its mean is O((dp)3/4), provided that dp>256. Thus, the giant component of a random member of G d n,p remains, with high probability, a certifiable efficient expander, despite the link faults, provided that dp>256.

Work supported in part by the ESPRIT III Basic Research Programme of the EC under contract No. 9072 (Project GEPPCOM) and contract No. 7141 (Project ALCOM II)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. B. Bollobas, “Random Graphs”, Academic Press, 1985.

    Google Scholar 

  2. A. Broder and E. Shamir, “On the second eigenvalue of random regular graphs”, Proc. 19st ACM Symp. on Theory of Computing, pp. 286–294, 1987.

    Google Scholar 

  3. J. Friedman, J. Kahn and E. Szemeredi, “On the second eigenvalue of random regular graphs”, Proc. 21st ACM Symp. on Theory of Computing, pp. 286–294, 1989.

    Google Scholar 

  4. J. Hastad, T. Leighton and M. Newman, “Fast Computation Using Faulty Hypercubes”, Proc. 21st ACM Symp. on Theory of Computing, pp. 251–263, 1989.

    Google Scholar 

  5. S. Janson, D. Knuth, T. Luczak, B. Pittel, “The birth of the giant component”, Random Structures and Algorithms, vol. 4, pp. 232–355, 1993.

    Google Scholar 

  6. Z. Kedem, K. Palem, and P. Spirakis, “Efficient Robust Parallel Computations”, Proc. 22nd ACM Symp. on Theory of Computing, pp. 138–148, 1990.

    Google Scholar 

  7. Z. Kedem, K. Palem, A. Raghunathan and P. Spirakis, “Combining Tentative and Definite Executions for Very Fast Dependable Parallel Computing”, Proc. 23nd ACM Symp. on Theory of Computing, 1991.

    Google Scholar 

  8. Z. Kedem, K. Palem, P. Spirakis and M. Yung, “Faulty Random Graphs: reliable efficient-on-the-average network computing”, Computer Technology Institute (Patras, Greece) Technical Report, 1993.

    Google Scholar 

  9. D. E. Knuth, “The Art of Computer Programming”, vol. 1, 2nd edition, Addison Wesley, 1973.

    Google Scholar 

  10. C. Leiserson, “Fat-trees: Universal networks for hardware-efficient supercomputing”, IEEE Transactions on Computers, C-34 (10), pp. 892–900, October 1985.

    Google Scholar 

  11. S. Nikoletseas, K. Palem, P. Spirakis and M. Yung, “Short Vertex Disjoint Paths and Multiconnectivity in Random Graphs: Reliable Network Computing”, 21st International Colloquium on Automata, Languages and Programming (ICALP), pp. 508–519, 1994.

    Google Scholar 

  12. D. Peleg and E. Upfal, “Constructing Disjoint Paths on Expander Graphs”, Proc. 19th ACM Symp. on Theory of Computing, pp. 264–273, 1987.

    Google Scholar 

  13. N. Pippenger, “Telephone switching networks”, The Mathematics of Networks, AMS, Providence, 1982.

    Google Scholar 

  14. M. Rabin, “Efficient Dispersal of Information for Security, Load Balancing and Fault Tolerance”, JACM, vol. 36, no. 2, pp. 335–348, 1989.

    Google Scholar 

  15. A. Sinclair, “Algorithms for random generation and Counting”, ed. Birkhauser, 1992.

    Google Scholar 

  16. L. Valiant, “A Bridging Model for Parallel Computation”, CACM, vol. 33, no. 8, pp. 103–111, 1990.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ernst W. Mayr Claude Puech

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nikoletseas, S.E., Spirakis, P.G. (1995). Expander properties in random regular graphs with edge faults. In: Mayr, E.W., Puech, C. (eds) STACS 95. STACS 1995. Lecture Notes in Computer Science, vol 900. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59042-0_93

Download citation

  • DOI: https://doi.org/10.1007/3-540-59042-0_93

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59042-2

  • Online ISBN: 978-3-540-49175-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics