The Kardar-Parisi-Zhang (KPZ) universality class describes a large class of 2-dimensional models of random growth, which exhibit universal scaling exponents and limiting statistics. The last ten years has seen remarkable progress in this area, with the formal construction of two interrelated limiting objects, now termed the KPZ fixed point and the directed landscape (DL). This dissertation focuses on a third central object, termed the stationary horizon (SH). The SH was first introduced (and named) by Busani as the scaling limit of the Busemann process in exponential last-passage percolation. Shortly after, in the author's joint work with Sepp\"al\"ainen, it was independently constructed in the context of Brownian last-passage percolation. ...
We compute the one-point probability distribution for the stationary KPZ equation (i.e. initial data...
This thesis studies the large scale behaviour of biological processes in a random en- vironment. We ...
In these notes we use renormalization techniques to derive a second order Boltzmann-Gibbs Principle ...
The stationary horizon (SH) is a stochastic process of coupled Brownian motions indexed by their rea...
We give an explicit description of the jointly invariant measures for the KPZ equation. These are co...
We review some algebraic and combinatorial structures that underlie models in the KPZ universality c...
We study the aging property for stationary models in the KPZ universality class. In particular, we s...
We consider planar directed last-passage percolation on the square lattice with general i.i.d. weigh...
We present a proof of an upper tail bound of the correct order (up to a constant factor in the expon...
We study the model of the totally asymmetric exclusion process with generalized update, which compar...
We consider large-scale point fields which naturally appear in the context of the Kardar-Parisi-Zhan...
The KPZ universality class is expected to contain a large class of random growth processes. In some ...
The conjectured limit of last passage percolation is a scale-invariant, independent, stationary incr...
We study the restricted solid on solid model for surface growth in spatial dimension d = 2 by means ...
We obtain a simple formula for the stationary measure of the height field evolving according to the ...
We compute the one-point probability distribution for the stationary KPZ equation (i.e. initial data...
This thesis studies the large scale behaviour of biological processes in a random en- vironment. We ...
In these notes we use renormalization techniques to derive a second order Boltzmann-Gibbs Principle ...
The stationary horizon (SH) is a stochastic process of coupled Brownian motions indexed by their rea...
We give an explicit description of the jointly invariant measures for the KPZ equation. These are co...
We review some algebraic and combinatorial structures that underlie models in the KPZ universality c...
We study the aging property for stationary models in the KPZ universality class. In particular, we s...
We consider planar directed last-passage percolation on the square lattice with general i.i.d. weigh...
We present a proof of an upper tail bound of the correct order (up to a constant factor in the expon...
We study the model of the totally asymmetric exclusion process with generalized update, which compar...
We consider large-scale point fields which naturally appear in the context of the Kardar-Parisi-Zhan...
The KPZ universality class is expected to contain a large class of random growth processes. In some ...
The conjectured limit of last passage percolation is a scale-invariant, independent, stationary incr...
We study the restricted solid on solid model for surface growth in spatial dimension d = 2 by means ...
We obtain a simple formula for the stationary measure of the height field evolving according to the ...
We compute the one-point probability distribution for the stationary KPZ equation (i.e. initial data...
This thesis studies the large scale behaviour of biological processes in a random en- vironment. We ...
In these notes we use renormalization techniques to derive a second order Boltzmann-Gibbs Principle ...