Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-08T15:31:38.073Z Has data issue: false hasContentIssue false

Ergodic theory on Galton—Watson trees: speed of random walk and dimension of harmonic measure

Published online by Cambridge University Press:  19 September 2008

Russell Lyons
Affiliation:
Department of Mathematics, Indiana University, Bloomington, IN 47405-5701, USA
Robin Pemantle
Affiliation:
Department of Mathematics, University of Wisconsin, Madison, WI 53706, USA
Yuval Peres
Affiliation:
Department of Statistics, University of California, Berkeley, CA 94720, USA

Abstract

We consider simple random walk on the family tree T of a nondegenerate supercritical Galton—Watson branching process and show that the resulting harmonic measure has a.s. strictly smaller Hausdorff dimension than that of the whole boundary of T. Concretely, this implies that an exponentially small fraction of the nth level of T carries most of the harmonic measure. First-order asymptotics for the rate of escape, Green function and the Avez entropy of the random walk are also determined. Ergodic theory of the shift on the space of random walk paths on trees is the main tool; the key observation is that iterating the transformation induced from this shift to the subset of ‘exit points’ yields a nonintersecting path sampled from harmonic measure.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1]Asmussen, S. and Hering, H.. Branching Processes. Birkhäuser: Boston, 1983.CrossRefGoogle Scholar
[2]Athreya, K. B.. A note on a functional equation arising in Galton—Watson branching processes. J. Appl. Prob. 8 (1971), 589598.CrossRefGoogle Scholar
[3]Athreya, K. B. and Ney, P.. Branching Processes. Springer: New York, 1972.CrossRefGoogle Scholar
[4]Billingsley, P.. Ergodic Theory and Information. Wiley: New York, 1965.Google Scholar
[5]Breiman, L.. Probability. Addison-Wesley: Reading, MA, 1968.Google Scholar
[6]Doyle, P. and Snell, J. L.. Random Walks and Electric Networks. Mathematical Association of America: Washington, DC, 1984.CrossRefGoogle Scholar
[7]Furstenberg, H.. Intersections of Cantor sets and transversality of semigroups. In Problems in Analysis (Sympos. Salomon Bochner, Princeton University, 1969). Princeton University Press: Princeton, NJ, 1970, pp. 4159.Google Scholar
[8]Grimmett, G. and Kesten, H.. Random electrical networks on complete graphs. J. London Math. Soc. 30 (1984), 171192.CrossRefGoogle Scholar
[9]Gurevic, B. M.. Some existence conditions for K-decompositions for special flows. Trans. Moscow Math. Soc., 17 (1967), 99128.Google Scholar
[10]Hawkes, J.. Trees generated by a simple branching process. J. London Math. Soc. 24 (1981), 373384.CrossRefGoogle Scholar
[11]Joffe, A. and Waugh, W. A. O'N. Exact distributions of kin numbers in a Galton—Watson process. J. Appl. Prob. 19 (1982), 767775.CrossRefGoogle Scholar
[12]Kaimanovich, V.. Random walks on percolation clusters. Talk at Mathematical Sciences Institute, Cornell University, April 1993.Google Scholar
[13]Kesten, H.. Subdiffusive behavior of random walk on a random cluster. Ann. Inst. Henri Poincare Probab. Stat. 22 (1986), 425487.Google Scholar
[14]Kifer, Y. and Ledrappier, F.. Hausdorff dimension of harmonic measures on negatively curved manifolds. Trans. Amer. Math. Soc. 318 (1990), 685704.CrossRefGoogle Scholar
[15]Ledrappier, F.. Some properties of random walks on free groups. Montreal Lectures, in preparation.Google Scholar
[16]Lyons, R.. Random walks and percolation on trees. Ann. Probab. 18 (1990), 931958.CrossRefGoogle Scholar
[17]Makarov, N.. On the distortion of boundary sets under conformal mappings. Proc. London Math. Soc. 51(3) (1985), 369384.CrossRefGoogle Scholar
[18]Petersen, K.. Ergodic Theory. Cambridge University Press: Cambridge, 1983.CrossRefGoogle Scholar
[19]Rosenblatt, M.. Markov Processes: Structure and Asymptotic Behavior. Springer: New York, 1971.CrossRefGoogle Scholar
[20]Solomon, F.. Random walks in a random environment. Ann. Probab. 3 (1975), 131.CrossRefGoogle Scholar
[21]Young, L.-S.. Dimension, entropy and Lyapunov exponents. Ergod. Th. & Dynam. Sys. 2 (1982), 109124.CrossRefGoogle Scholar