We derive an annealed large deviation principle (LDP) for the normalised and
rescaled local times of a continuous-time random walk among random conductances
(RWRC) in a time-dependent, growing box in Zd. We work in the interesting
case that the conductances are positive, but may assume arbitrarily small
values. Thus, the underlying picture of the principle is a joint strategy of
small conductance values and large holding times of the walk. The speed and the
rate function of our principle are explicit in terms of the lower tails of the
conductance distribution as well as the time-dependent size of the box.
An interesting phase transition occurs if the thickness parameter of the
conductance tails exceeds a certain threshold: for thicker tails, the random
walk spreads out over the entire growing box, for thinner tails it stays
confined to some bounded region. In fact, in the first case, the rate function
turns out to be equal to the p-th power of the p-norm of the gradient of
the square root for some p∈(d+22d,2). This extends the
Donsker-Varadhan-G\"artner rate function for the local times of Brownian motion
(with deterministic environment) from p=2 to these values.
As corollaries of our LDP, we derive the logarithmic asymptotics of the
non-exit probability of the RWRC from the growing box, and the Lifshitz tails
of the generator of the RWRC, the randomised Laplace operator.
To contrast with the annealed, not uniformly elliptic case, we also provide
an LDP in the quenched setting for conductances that are bounded and bounded
away from zero. The main tool here is a spectral homogenisation result, based
on a quenched invariance principle for the RWRC.Comment: 32 page