The point of view of the particle is an
approach that has proven
very powerful in the study of many models of random motions in random
media.
We provide a new use
of this approach to prove the law of large numbers in the case of one or
higher-dimensional, finite range, transient random walks in mixing random
environments.
One of the advantages of this method over what has been
used so far is that it is not restricted to i.i.d. environments.
References
[1] ALILI, S. (1999). Asy mptotic behaviour for random walks in random environments. J. Appl. Probab. 36 334-349.
[2] BOLTHAUSEN, E. and SZNITMAN, A.-S. (2003). On the static and dy namic points of view for certain random walks in random environment. Methods Appl. Anal. 8. To appear.
[3] COMETS, F. and ZEITOUNI, O. (2002). A law of large numbers for random walks in random mixing environments. Preprint. Available at www.arXiv.org.
[4] DE MASI, A., FERRARI, P. A., GOLDSTEIN, S. and WICK, W. D. (1989). An invariance principle for reversible Markov processes with applications to random motions in random environments. J. Statist. Phy s. 55 787-855.
[5] DOBRUSHIN, R. L. and SHLOSMAN, S. B. (1985). Constructive criterion for the uniqueness of a Gibbs field. In Statistical physics and Dy namical Sy stems (J. Fritz, A. Jaffe and D. Szasz, eds.) 347-370. Birkhäuser, Boston.
[6] DOBRUSHIN, R. L. and SHLOSMAN, S. B. (1985). Completely analytical Gibbs fields. In Statistical physics and Dy namical Sy stems (J. Fritz, A. Jaffe and D. Szasz, eds.) 371- 403. Birkhäuser, Boston.
[7] GEORGII, H. O. (1988). Gibbs Measures and Phase Transitions. de Gruy ter, Berlin.
[8] KALIKOW, S. A. (1981). Generalized random walk in a random environment. Ann. Probab. 9 753-768.
[9] KIPNIS, C. and VARADHAN, S. R. S. (1986). A central limit theorem for additive functionals of reversible Markov processes and applications to simple exclusion. Comm. Math. Phy s. 104 1-19.
[10] KOMOROWSKI, T. and KRUPA, G. (2003). The law of large numbers for ballistic, multidimensional random walks on random lattices with correlated sites. Ann. Inst. H. Poincaré Probab. Statist. To appear.
[11] KOZLOV, S. M. (1985). The averaging method and walks in inhomogeneous environments. Russian Math. Survey s 40 73-145.
[12] LAWLER, G. F. (1982). Weak convergence of a random walk in a random environment. Comm. Math. Phy s. 87 81-87.
[13] OLLA, S. (1994). Lectures on Homogenization of Diffusion Processes in Random Fields. Ecole Poly technique, Palaiseau.
[14] PAPANICOLAOU, G. and VARADHAN, S. R. S. (1981). Boundary value problems with rapidly oscillating random coefficients. In Random Fields 835-873. North-Holland, Amsterdam.
[15] SOLOMON, F. (1975). Random walks in a random environment. Ann. Probab. 3 1-31.
[16] SZNITMAN, A.-S. (2000). Lectures on random motions in random media. Preprint. Available at www.math.ethz.ch/ sznitman/lectures.ps.
[17] SZNITMAN, A.-S. (2002). An effective criterion for ballistic behavior of random walks in random environment. Probab. Theory Related Fields 122 509-544.
[18] SZNITMAN, A.-S. and ZERNER, M. (1999). A law of large numbers for random walks in random environment. Ann. Probab. 27 1851-1869.
[19] ZEITOUNI, O. (2001). Saint Flour lecture notes on random walks in random environments. Preprint. Available at www-ee.technion.ac.il/ zeitouni.
[20] ZERNER, M. and MERKL, F. (2001). A zero-one law for planar random walks in random environment. Ann. Probab. 29 1716-1732.
COLUMBUS, OHIO 43210-1174 E-MAIL: firas@math.ohio-state.edu URL: www.math.ny u.edu/ rassoul