We derive properties of the rate function in Varadhan’s (annealed) large deviation principle for multidimensional, ballistic random walk in random environment, in a certain neighborhood of the zero set of the rate function. Our approach relates the LDP to that of regeneration times and distances. The analysis of the latter is possible due to the i.i.d. structure of regenerations. 1 Introduction and Statement of Main Results This paper studies annealed large deviations for multidimensional random walks in random envi-ronments (RWRE), in the ballistic regime. We will be concerned with nearest neighbor RWRE with uniformly elliptic i.i.d. environments, modeled as follows. Let Ed: = {x ∈ Zd: ‖x ‖ = 1
International audienceRandom Walks in Dirichlet Environment (RWDE) correspond to Random Walks in Ran...
We derive an annealed large deviation principle (LDP) for the normalised and rescaled local times of...
Abstract: Let (Zn)n∈N be a d-dimensional random walk in random scenery, i.e., Zn =∑n−1 k=0 Y (Sk) wi...
Suppose that the integers are assigned random variables f! i g (taking values in the unit interval),...
: Suppose that the integers are assigned random variables f! i g (taking values in the unit interval...
Suppose that the integers are assigned random variables f! x ; x g (taking values in the unit inter...
In this work, we study the large deviation properties of random walk in a random environment on $\ma...
This thesis concerns the study of random walks in random environments (RWRE). Since there are two le...
We take the point of view of the particle in a multidimensional nearest neighbor random walk in rand...
properties of the rate function of quenched large deviations for random walk in random environmen
We derive an annealed large deviation principle for the normalised local times of a continuous-time ...
The topic of this thesis is random walks in a sparse random environment (RWSRE) on $\mathbb{Z}$. Bas...
We derive an annealed large deviation principle (LDP) for the normalised and rescaled local times of...
International audienceRandom Walks in Dirichlet Environment (RWDE) correspond to Random Walks in Ran...
Ž.We consider a one-dimensional random walk X in a randomn n environment of zero or strictly positiv...
International audienceRandom Walks in Dirichlet Environment (RWDE) correspond to Random Walks in Ran...
We derive an annealed large deviation principle (LDP) for the normalised and rescaled local times of...
Abstract: Let (Zn)n∈N be a d-dimensional random walk in random scenery, i.e., Zn =∑n−1 k=0 Y (Sk) wi...
Suppose that the integers are assigned random variables f! i g (taking values in the unit interval),...
: Suppose that the integers are assigned random variables f! i g (taking values in the unit interval...
Suppose that the integers are assigned random variables f! x ; x g (taking values in the unit inter...
In this work, we study the large deviation properties of random walk in a random environment on $\ma...
This thesis concerns the study of random walks in random environments (RWRE). Since there are two le...
We take the point of view of the particle in a multidimensional nearest neighbor random walk in rand...
properties of the rate function of quenched large deviations for random walk in random environmen
We derive an annealed large deviation principle for the normalised local times of a continuous-time ...
The topic of this thesis is random walks in a sparse random environment (RWSRE) on $\mathbb{Z}$. Bas...
We derive an annealed large deviation principle (LDP) for the normalised and rescaled local times of...
International audienceRandom Walks in Dirichlet Environment (RWDE) correspond to Random Walks in Ran...
Ž.We consider a one-dimensional random walk X in a randomn n environment of zero or strictly positiv...
International audienceRandom Walks in Dirichlet Environment (RWDE) correspond to Random Walks in Ran...
We derive an annealed large deviation principle (LDP) for the normalised and rescaled local times of...
Abstract: Let (Zn)n∈N be a d-dimensional random walk in random scenery, i.e., Zn =∑n−1 k=0 Y (Sk) wi...