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Extensive dynamical simulations of Restricted Solid on Solid models in $D=2+1$ dimensions have been done using parallel multisurface algorithms implemented on graphics cards. Numerical evidence is presented that these models exhibit KPZ…

Statistical Mechanics · Physics 2016-08-08 Jeffrey Kelling , Géza Ódor , Sibylle Gemming

We consider the statistics of the extreme eigenvalues of sparse random matrices, a class of random matrices that includes the normalized adjacency matrices of the Erd{\H o}s-R{\'e}nyi graph $G(N,p)$. Recently, it was shown by Lee, up to an…

Probability · Mathematics 2023-05-05 Jiaoyang Huang , Horng-Tzer Yau

We construct a family of stochastic growth models in 2+1 dimensions, that belong to the anisotropic KPZ class. Appropriate projections of these models yield 1+1 dimensional growth models in the KPZ class and random tiling models. We show…

Mathematical Physics · Physics 2014-04-24 Patrik L. Ferrari , Alexei Borodin

The probability distribution for the free energy of directed polymers in random media (DPRM) with uncorrelated noise in $d=1+1$ dimensions satisfies the Tracy-Widom distribution. We inquire if and how this universal distribution is modified…

Statistical Mechanics · Physics 2016-07-06 Sherry Chu , Mehran Kardar

Simulations of restricted solid-on-solid growth models are used to build the width-distributions of d=2-5 dimensional KPZ interfaces. We find that the universal scaling function associated with the steady-state width-distribution changes…

Statistical Mechanics · Physics 2009-11-07 E. Marinari , A. Pagnani , G. Parisi , Z. Racz

We study discrete KPZ growth models deposited on square lattice substrates, whose (average) lateral size enlarges as $L= L_0 + \omega t^{\gamma}$. Our numerical simulations reveal that the competition between the substrate expansion and the…

Statistical Mechanics · Physics 2022-06-22 Ismael S. S. Carrasco , Tiago J. Oliveira

We carry out an exact analysis of the average frequency $\nu_{\alpha x_i}^+$ in the direction $x_i$ of positive-slope crossing of a given level $\alpha$ such that, $h({\bf x},t)-\bar{h}=\alpha$, of growing surfaces in spatial dimension $d$.…

Statistical Mechanics · Physics 2009-11-11 A. Bahraminasab , M. Sadegh Movahed , S. D. Nassiri , A. A. Masoudi , Muhammad Sahimi

We consider the equilibrium surface of the Random Average Process started from an inclined plane, as seen from the height of the origin, obtained in [Ferrari & Fontes, 1998], where its fluctuations were shown to be of order of the square…

Probability · Mathematics 2023-10-09 Luiz Renato Fontes , Mariela Pentón Machado , Leonel Zuaznábar

In order to estimate roughness exponents of interface growth models, we propose the calculation of effective exponents from the roughness fluctuation (sigma) in the steady state. We compare the finite-size behavior of these exponents and…

Statistical Mechanics · Physics 2016-08-31 Fabio D. A. Aarao Reis

Stochastic motion of a point -- known as Brownian motion -- has many successful applications in science, thanks to its scale invariance and consequent universal features such as Gaussian fluctuations. In contrast, the stochastic motion of a…

Statistical Mechanics · Physics 2011-08-11 Kazumasa A. Takeuchi , Masaki Sano , Tomohiro Sasamoto , Herbert Spohn

In the current LambdaCDM cosmological scenario, N-body simulations provide us with a Universal mass profile, and consequently a Universal equilibrium circular velocity of the virialized objects, as galaxies. In this paper we obtain, by…

Astrophysics · Physics 2008-11-26 P. Salucci , A. Lapi , C. Tonini , G. Gentile , I. Yegorova , U. Klein

The current/height fluctuation statistics of Kardar-Parisi-Zhang (KPZ) universality in 1+1 dimensions are sensitive to the initial state. We find that the averages over the initial states exhibit universal and scale-invariant patterns when…

Statistical Mechanics · Physics 2024-07-03 Johannes Schmidt , Andreas Schadschneider

These lecture notes, adapted from the habilitation thesis of the author, survey in a first part various exact results obtained in the past few decades about KPZ fluctuations in one dimension, with a special focus on finite volume effects…

Probability · Mathematics 2024-06-12 Sylvain Prolhac

Recently, it was shown that the probability distribution function (PDF) of the free energy of a single continuum directed polymer (DP) in a random potential, equivalently of the height of a growing interface described by the…

Statistical Mechanics · Physics 2017-03-29 Andrea De Luca , Pierre Le Doussal

Tensor models can be interpreted as theory of dynamical fuzzy spaces. In this paper, I study numerically the fluctuation spectra around a Gaussian classical solution of a tensor model, which represents a fuzzy flat space in arbitrary…

High Energy Physics - Theory · Physics 2009-11-13 Naoki Sasakura

Clusters formed by fluctuations of two-dimensional (2D) directed interfaces around a threshold level have been extensively studied at equilibrium and in nonequilibrium steady states, but their coarsening dynamics remain poorly understood.…

Statistical Mechanics · Physics 2026-01-21 Renan A. L. Almeida , Tiago J. Oliveira , Jeferson J. Arenzon , Leticia F. Cugliandolo

We study the competitive RSOS-BD model focusing on the validity of the Kardar-Parisi-Zhang (KPZ) ansatz h(t) = v t + (\Gamma t)^{\beta} \chi and the universality of the height distributions (HDs) near the point where the model has…

Statistical Mechanics · Physics 2013-03-14 Tiago J. Oliveira

In [arXiv:0804.3035] we studied an interacting particle system which can be also interpreted as a stochastic growth model. This model belongs to the anisotropic KPZ class in 2+1 dimensions. In this paper we present the results that are…

Statistical Mechanics · Physics 2012-10-29 Patrik L. Ferrari , Alexei Borodin

We develop a general theory of transport-limited aggregation phenomena occurring on curved surfaces, based on stochastic iterated conformal maps and conformal projections to the complex plane. To illustrate the theory, we use stereographic…

Statistical Mechanics · Physics 2015-05-18 Jaehyuk Choi , Darren Crowdy , Martin Z. Bazant

Kernel ridge regression (KRR) is a popular class of machine learning models that has become an important tool for understanding deep learning. Much of the focus thus far has been on studying the proportional asymptotic regime, $n \asymp d$,…

Machine Learning · Statistics 2025-10-07 Parthe Pandit , Zhichao Wang , Yizhe Zhu
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