Abstract

A random walk is performed over a disordered media composed of NN sites random and uniformly distributed inside a dd-dimensional hypercube. The walker cannot remain in the same site and hops to one of its nn neighboring sites with a transition probability that depends on the distance DD between sites according to a cost function E(D)E(D). The stochasticity level is parametrized by a formal temperature TT. In the case T=0T = 0, the walk is deterministic and ergodicity is broken: the phase space is divided in a O(N){\cal O}(N) number of attractor basins of two-cycles that trap the walker. For d=1d = 1, analytic results indicate the existence of a glass transition at T1=1/2T_1 = 1/2 as NN \to \infty. Below T1T_1, the average trapping time in two-cycles diverges and out-of-equilibrium behavior appears. Similar glass transitions occur in higher dimensions choosing a proper cost function. We also present some results for the statistics of distances for Poisson spatial point processes.Comment: 11 pages, 4 figure

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