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For stationary interface growth, governed by the Kardar-Parisi-Zhang (KPZ) equation in 1 + 1 dimensions, typical fluctuations of the interface height at long times are described by the Baik-Rains distribution. Recently Chhita et al. [1]…

统计力学 · 物理学 2017-11-22 Baruch Meerson , Johannes Schmidt

We consider a stochastic interface $h(x,t)$, described by the $1+1$ Kardar-Parisi-Zhang (KPZ) equation on the half-line $x\geq0$ with the reflecting boundary at $x=0$. The interface is initially flat, $h(x,t=0)=0$. We focus on the…

统计力学 · 物理学 2019-05-01 Tomer Asida , Eli Livne , Baruch Meerson

Consider the short-time probability distribution $\mathcal{P}(H,t)$ of the one-point interface height difference $h(x=0,\tau=t)-h(x=0,\tau=0)=H$ of the stationary interface $h(x,\tau)$ described by the Kardar-Parisi-Zhang equation. It was…

统计力学 · 物理学 2021-11-30 Alexander K. Hartmann , Baruch Meerson , Pavel Sasorov

We consider an infinite interface in $d>2$ dimensions, governed by the Kardar-Parisi-Zhang (KPZ) equation with a weak Gaussian noise which is delta-correlated in time and has short-range spatial correlations. We study the probability…

统计力学 · 物理学 2018-05-02 Baruch Meerson , Pavel V. Sasorov , Arkady Vilenkin

Macroscopic fluctuations have become an essential tool to understand physics far from equilibrium due to the link between their statistics and nonequilibrium ensembles. The optimal path leading to a fluctuation encodes key information on…

统计力学 · 物理学 2017-03-13 N. Tizón-Escamilla , P. I. Hurtado , P. L. Garrido

We use the optimal fluctuation method to evaluate the short-time probability distribution $\mathcal{P}\left(H,L,t\right)$ of height at a single point, $H=h\left(x=0,t\right)$, of the evolving Kardar-Parisi-Zhang (KPZ) interface…

统计力学 · 物理学 2018-02-15 Naftali R. Smith , Baruch Meerson , Pavel Sasorov

We study local features, and provide a topological insight into the global structure of the probability density distribution and of the pattern of the optimal paths for large rare fluctuations away from a stable state. In contrast to…

凝聚态物理 · 物理学 2009-10-22 Mark I. Dykman , Mark M. Millonas , Vadim N. Smelyanskiy

Using the optimal fluctuation method, we evaluate the short-time probability distribution $P (\bar{H}, L, t=T)$ of the spatially averaged height $\bar{H} = (1/L) \int_0^L h(x, t=T) \, dx$ of a one-dimensional interface $h(x, t)$ governed by…

统计力学 · 物理学 2023-12-12 Timo Schorlepp , Pavel Sasorov , Baruch Meerson

The nonlinear filtering problem is concerned with finding the conditional probability distribution (posterior) of the state of a stochastic dynamical system, given a history of partial and noisy observations. This paper presents a…

最优化与控制 · 数学 2024-03-26 Mohammad Al-Jarrah , Bamdad Hosseini , Amirhossein Taghvaei

Consider a stochastic interface $h(x,t)$, described by the $1+1$ Kardar-Parisi-Zhang (KPZ) equation on the half-line $x\geq 0$. The interface is initially flat, $h(x,t=0)=0$, and driven by a Neumann boundary condition $\partial_x…

统计力学 · 物理学 2018-10-03 Baruch Meerson , Arkady Vilenkin

The optimal fluctuation approach is applied to study the most distant (non-universal) tails of the free-energy distribution function P(F) for an elastic string (of a large but finite length L) interacting with a quenched random potential. A…

无序系统与神经网络 · 物理学 2009-11-13 I. V. Kolokolov , S. E. Korshunov

The free-energy distribution function of an elastic string in a quenched random potential, P(F), is investigated with the help of the optimal-fluctuation approach. The form of the far-right tail of P(F) is found by constructing the exact…

无序系统与神经网络 · 物理学 2015-05-13 I. V. Kolokolov , S. E. Korshunov

The one-point distribution of the height for the continuum Kardar-Parisi-Zhang (KPZ) equation is determined numerically using the mapping to the directed polymer in a random potential at high temperature. Using an importance sampling…

无序系统与神经网络 · 物理学 2018-05-24 Alexander K. Hartmann , Pierre Le Doussal , Satya N. Majumdar , Alberto Rosso , Gregory Schehr

Understanding neural dynamics is a central topic in machine learning, non-linear physics and neuroscience. However, the dynamics is non-linear, stochastic and particularly non-gradient, i.e., the driving force can not be written as gradient…

神经元与认知 · 定量生物学 2024-12-05 Junbin Qiu , Haiping Huang

Height fluctuations of growing surfaces can be characterized by the probability distribution of height in a spatial point at a finite time. Recently there has been spectacular progress in the studies of this quantity for the…

统计力学 · 物理学 2017-01-25 Naftali R. Smith , Baruch Meerson , Pavel V. Sasorov

The tails of prehistory probability density in nonlinear multistable stochastic systems driven by white Gaussian noise, which has been a subject of recent study, are analyzed by employing the concepts of nonstationary optimal fluctuations.…

统计力学 · 物理学 2016-08-31 B. E. Vugmeister , J. Botina , H. Rabitz

Dynamics of a system that performs a large fluctuation to a given state is essentially deterministic: the distribution of fluctuational paths peaks sharply at a certain optimal path along which the system is most likely to move. For the…

统计力学 · 物理学 2008-03-03 M. I. Dykman , V. N. Smelyanskiy

We study the complete probability distribution $\mathcal{P}\left(\bar{H},t\right)$ of the time-averaged height $\bar{H}=(1/t)\int_0^t h(x=0,t')\,dt'$ at point $x=0$ of an evolving 1+1 dimensional Kardar-Parisi-Zhang (KPZ) interface…

统计力学 · 物理学 2019-07-09 Naftali R. Smith , Baruch Meerson , Arkady Vilenkin

The study of transversal fluctuation of the optimal path has been a crucial aspect of the Kadar-Parisi-Zhang (KPZ) universality class. In this paper, we establish a new probability lower bound, with optimal exponential order, for the rare…

概率论 · 数学 2024-06-28 Xiao Shen

The one-point distribution of the height for the continuum Kardar-Parisi-Zhang (KPZ) equation is determined numerically using the mapping to the directed polymer in a random potential at high temperature. Using an importance sampling…

统计力学 · 物理学 2020-02-05 Alexander K. Hartmann , Alexandre Krajenbrink , Pierre Le Doussal
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