We introduce a class of one-dimensional discrete space-discrete time stochastic growth models described by a height function $h_t(x)$ with corner initialization. We prove, with one exception, that the limiting distribution function of $h_t(x)$ (suitably centered and normalized) equals a Fredholm determinant previously encountered in random matrix theory. In particular, in the universal regime of large $x$ and large $t$ the limiting distribution is the Fredholm determinant with Airy kernel. In the exceptional case, called the critical regime, the limiting distribution seems not to have previously occurred. The proofs use the dual RSK algorithm, Gessel's theorem, the Borodin-Okoun...
The totally asymmetric simple exclusion process (TASEP) on the one-dimensional lattice with the Bern...
We study Fredholm determinants related to a family of kernels that describe the edge eigenvalue beha...
Abstract. There has been much success in describing the limiting spatial fluctuations of growth mode...
We introduce a class of one-dimensional discrete space-discrete time stochastic growth mode...
Abstract. We compute the one-point probability distribution for the stationary KPZ equa-tion (i.e. i...
We consider a model of interface growth in two dimensions, given by a height function on th...
Abstract We consider the ASEP and the stochastic six vertex model started with step i...
We describe a class of one-dimensional chain binomial models of use in studying metapopulations (pop...
We consider canonical determinantal random point processes with N particles on a compact Riemann sur...
In this paper we consider the limiting distribution of KPZ growth models with random but not station...
Abstract. We review the Airy processes; their formulation and how they are conjectured to govern the...
In this review paper we consider the polynuclear growth (PNG) model in one spatial dimension and its...
International audienceWe consider a stochastic process with long-range dependence perturbed by multi...
We consider Brownian motions with one-sided collisions, meaning that each particle is reflected at i...
We consider canonical determinantal random point processes with N particles on a compact Riemann sur...
The totally asymmetric simple exclusion process (TASEP) on the one-dimensional lattice with the Bern...
We study Fredholm determinants related to a family of kernels that describe the edge eigenvalue beha...
Abstract. There has been much success in describing the limiting spatial fluctuations of growth mode...
We introduce a class of one-dimensional discrete space-discrete time stochastic growth mode...
Abstract. We compute the one-point probability distribution for the stationary KPZ equa-tion (i.e. i...
We consider a model of interface growth in two dimensions, given by a height function on th...
Abstract We consider the ASEP and the stochastic six vertex model started with step i...
We describe a class of one-dimensional chain binomial models of use in studying metapopulations (pop...
We consider canonical determinantal random point processes with N particles on a compact Riemann sur...
In this paper we consider the limiting distribution of KPZ growth models with random but not station...
Abstract. We review the Airy processes; their formulation and how they are conjectured to govern the...
In this review paper we consider the polynuclear growth (PNG) model in one spatial dimension and its...
International audienceWe consider a stochastic process with long-range dependence perturbed by multi...
We consider Brownian motions with one-sided collisions, meaning that each particle is reflected at i...
We consider canonical determinantal random point processes with N particles on a compact Riemann sur...
The totally asymmetric simple exclusion process (TASEP) on the one-dimensional lattice with the Bern...
We study Fredholm determinants related to a family of kernels that describe the edge eigenvalue beha...
Abstract. There has been much success in describing the limiting spatial fluctuations of growth mode...