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Related papers: Height fluctuations for the stationary KPZ equatio…

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Consider the fractional Brownian Motion (fBM) $B^H=\{B^H(t): t \in [0,1] \}$ with Hurst index $H\in (0,1)$. We construct a probability space supporting both $B^H$ and a fully simulatable process $\hat B_{\epsilon}^H $ such that $$\sup_{t\in…

Probability · Mathematics 2019-02-22 Yi Chen , Jing Dong , Hao Ni

We consider driven dimer models on the square and honeycomb graphs, starting from a stationary Gibbs measure. Each model can be thought of as a two dimensional stochastic growth model of an interface, belonging to the anisotropic KPZ…

Probability · Mathematics 2020-03-25 Sunil Chhita , Patrik L. Ferrari , Fabio Lucio Toninelli

We provide a probabilistic description of the stationary measures for the open KPZ on the spatial interval $[0,1]$ in terms of a Markov process $Y$, which is a Doob's $h$ transform of the Brownian motion killed at an exponential rate. Our…

Probability · Mathematics 2023-04-04 Wlodek Bryc , Alexey Kuznetsov , Yizao Wang , Jacek Wesolowski

Brownian motion is a Gaussian process described by the central limit theorem. However, exponential decays of the positional probability density function $P(X,t)$ of packets of spreading random walkers, were observed in numerous situations…

Statistical Mechanics · Physics 2020-02-18 Eli Barkai , Stanislav Burov

We study the spatial decorrelation of the solution to the KPZ equation with narrow wedge initial data. For fixed $t>0$, we determine the decay rate of the spatial covariance function, showing that ${\rm Cov}[h(t,x),h(t,0)]\sim \frac{t}{x}$…

Probability · Mathematics 2025-07-01 Yu Gu , Fei Pu

We introduce the strict-weak polymer model, and show the KPZ universality of the free energy fluctuation of this model for a certain range of parameters. Our proof relies on the observation that the discrete time geometric q-TASEP model,…

Probability · Mathematics 2015-07-07 Ivan Corwin , Timo Seppäläinen , Hao Shen

We study extreme-value statistics of Brownian trajectories in one dimension. We define the maximum as the largest position to date and compare maxima of two particles undergoing independent Brownian motion. We focus on the probability P(t)…

Statistical Mechanics · Physics 2014-07-29 E. Ben-Naim , P. L. Krapivsky

We give an explicit description of the jointly invariant measures for the KPZ equation. These are couplings of Brownian motions with drift, and can be extended to a process defined for all drift parameters simultaneously. We term this…

Probability · Mathematics 2025-07-15 Sean Groathouse , Firas Rassoul-Agha , Timo Seppäläinen , Evan Sorensen

We present an exact solution for the distribution P(h_m,L) of the maximal height h_m (measured with respect to the average spatial height) in the steady state of a fluctuating Edwards-Wilkinson interface in a one dimensional system of size…

Statistical Mechanics · Physics 2009-11-10 Satya N. Majumdar , Alain Comtet

Consider a discrete one-dimensional random surface whose height at a point grows as a function of the heights at neighboring points plus an independent random noise. Assuming that this function is equivariant under constant shifts,…

Probability · Mathematics 2023-09-06 Arka Adhikari , Sourav Chatterjee

We compute the joint probability density function (jpdf) P_N(M, \tau_M) of the maximum M and its position \tau_M for N non-intersecting Brownian excursions, on the unit time interval, in the large N limit. For N \to \infty, this jpdf is…

Mathematical Physics · Physics 2015-06-04 Gregory Schehr

We prove fluctuation bounds for the particle current in totally asymmetric zero range processes in one dimension with nondecreasing, concave jump rates whose slope decays exponentially. Fluctuations in the characteristic directions have…

Probability · Mathematics 2012-01-25 M. Balázs , J. Komjáthy , T. Seppäläinen

With $M(t):=\sup_{s\in[0,t]}A(s)-s$ denoting the running maximum of a fractional Brownian motion $A(\cdot)$ with negative drift, this paper studies the rate of convergence of $\mathbb {P}(M(t)>x)$ to $\mathbb{P}(M>x)$. We define two metrics…

Probability · Mathematics 2009-09-01 Michel Mandjes , Ilkka Norros , Peter Glynn

We study the motion of a one-dimensional particle which reverses its direction of acceleration stochastically. We focus on two contrasting scenarios, where the waiting-times between two consecutive acceleration reversals are drawn from (i)…

Statistical Mechanics · Physics 2023-08-22 Ion Santra , Durgesh Ajgaonkar , Urna Basu

The goal of this paper is to investigate the stability of the Helmholtz equation in the high- frequency regime with non-smooth and rapidly oscillating coefficients on bounded domains. Existence and uniqueness of the problem can be proved…

Numerical Analysis · Mathematics 2018-11-14 Stefan Sauter , Celine Torres

We study the ballistic deposition and the grain deposition models on two-dimensional substrates. Using the Kardar-Parisi-Zhang (KPZ) ansatz for height fluctuations, we show that the main contribution to the intrinsic width, which causes…

Statistical Mechanics · Physics 2014-11-24 Sidiney G. Alves , Tiago J. Oliveira , Silvio C. Ferreira

For equidistant discretizations of fractional Brownian motion (fBm), the probabilities of ordinal patterns of order d=2 are monotonically related to the Hurst parameter H. By plugging the sample relative frequency of those patterns…

Probability · Mathematics 2008-01-11 Mathieu Sinn , Karsten Keller

Barraquand and Le~Doussal introduced a family of stationary measures for the (conjectural) KPZ fixed point on an interval with Neumann boundary conditions, and predicted that they arise as scaling limit of stationary measures of all models…

Probability · Mathematics 2024-02-20 Wlodek Bryc , Yizao Wang , Jacek Wesolowski

The main goal of this article is to derive a two-sided estimate for hitting probabilities of a hypoelliptic stochastic differential equation (SDE) driven by fractional Brownian motion (fBM) with Hurst parameter $H\in(1/4,1)$ in terms of…

Probability · Mathematics 2025-12-09 Xi Geng , Sheng Wang

Fractional Brownian motion is a self-affine, non-Markovian and translationally invariant generalization of Brownian motion, depending on the Hurst exponent $H$. Here we investigate fractional Brownian motion where both the starting and the…

Statistical Mechanics · Physics 2016-11-09 Mathieu Delorme , Kay Jörg Wiese