Abstract
We state some unsolved problems and describe relevant examples concerning random walks on trees. Most of the problems involve the behavior of random walks with drift: e.g., is the speed on Galton-Watson trees monotonic in the drift parameter? These random walks have been used in Monte-Carlo algorithms for sampling from the vertices of a tree; in general, their behavior reflects the size and regularity of the underlying tree. Random walks are related to conductance. The distribution function for the conductance of Galton-Watson trees satisfies an interesting functional equation; is this distribution function absolutely continuous?
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Partially supported by an Alfred P. Sloan Foundation Research Fellowship (Pemantle), by NSF Grants DMS-9306954 (Lyons), DMS-9300191 (Pemantle), and DMS-9404391 (Peres), and by a Presidential Faculty Fellowship (Pemantle). The authors are grateful to the IMA at the University of Minnesota for its hospitality.
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References
Berretti, A. and Sokal, A. D. (1985). New Monte Carlo method for the self-avoiding walk. J. Stat. Physics 40, 483–531.
Billingsley, P. (1965). Ergodic Theory and Information. Wiley, New York.
Feller, W. (1970). An Introduction to Probability Theory and Its Applications. Volume II, 2nd ed. Wiley, New York.
Hawkes, J. (1981). Trees generated by a simple branching process, J. London Math. Soc. 24 373–384.
Kesten, H. (1986). Subdiffusive behavior of random walk on a random cluster, Ann. Inst. Henri Poincaré Probab. Statist. 22425–487.
Lawler, G. F. and Sokal, A. D. (1988). Bounds on the L2 spectrum for Markov chains and Markov processes: A generalization of Cheeger’s inequality. Trans. Amer. Math. Soc. 309 557–589.
Lyons, R. (1990). Random walks and percolation on trees, Ann. Probab. 18 931–958.
Lyons, R. (1992). Random walks, capacity, and percolation on trees, Ann. Probab. 20 2043–2088.
Lyons, R. (1994). Equivalence of boundary measures on covering trees of finite graphs, Ergodic Theory Dynam. Systems 14,575–597.
Lyons, R., Pemantle, R. and Peres, Y. (1995a). Ergodic theory on Galton-Watson trees: speed of random walk and dimension of har-monic measure. Ergodic Theory Dynamical Systems 15,593–619.
Lyons, R., PEMANTLE, R. and PERES, Y. (1995b). Biased random walks on Galton-Watson trees, will appear in Probab. Theory Related Fields.
Pemantle, R. and Peres, Y. (1995). Galton-Watson trees with the same mean have the same polar sets, Ann.Probab. 23 1102–1124.
Peres, Y. (1992). Domains of analytic continuation for the top Lyapunov exponent, Ann. Inst. Henri Poincaré Probab. Statist. 28 131–148.
Randall, D. (1994). Counting in Lattices: Combinatorial Problems from Statistical Mechanics. Ph. D. thesis, University of California, Berkeley.
Ruelle, D. (1979). Analyticity properties of the characteristic exponents of random matrix products, Adv. Math. 3268–80.
Sinclair, A. J. and Jerrum, M. R. (1989). Approximate counting, uniform generation and rapidly mixing Markov chains, Information and Computation 82,93–133.
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Lyons, R., Pemantle, R., Peres, Y. (1997). Unsolved Problems Concerning Random Walks on Trees. In: Athreya, K.B., Jagers, P. (eds) Classical and Modern Branching Processes. The IMA Volumes in Mathematics and its Applications, vol 84. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1862-3_18
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DOI: https://doi.org/10.1007/978-1-4612-1862-3_18
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