A random walk is performed over a disordered media composed of N sites
random and uniformly distributed inside a d-dimensional hypercube. The walker
cannot remain in the same site and hops to one of its n neighboring sites
with a transition probability that depends on the distance D between sites
according to a cost function E(D). The stochasticity level is parametrized by
a formal temperature T. In the case T=0, the walk is deterministic and
ergodicity is broken: the phase space is divided in a O(N) number of
attractor basins of two-cycles that trap the walker. For d=1, analytic
results indicate the existence of a glass transition at T1=1/2 as N→∞. Below T1, 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