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Related papers: Airy processes and variational problems

200 papers

Sticky diffusion processes on bounded domains spend finite time (and finite mean time) on the lower-dimensional space given by the boundary. Once the process hits the boundary, then it starts again after a random amount of time. While on…

Probability · Mathematics 2026-05-19 Mirko D'Ovidio

We present a systematic study of higher-order Airy-type differential equations providing the explicit form of the solutions, deriving their power series expansions and a probabilistic interpretation. Under suitable convergence hypotheses,…

Probability · Mathematics 2024-10-11 Fabrizio Cinque , Enzo Orsingher

The Airy point process is a determinantal point process that arises from the spectral edge of the Gaussian Unitary Ensemble. In this paper, we establish a large deviation principle for the Airy point process. Our result also extends to…

Probability · Mathematics 2024-04-10 Chenyang Zhong

This is a brief survey of laws of large numbers, fluctuation results and large deviation principles for asymmetric interacting particle systems that represent moving interfaces on the plane. We discuss the exclusion process, the Hammersley…

Probability · Mathematics 2009-11-24 Timo Seppalainen

The Airy process is characterized by its finite-dimensional distribution functions. We show that each finite-dimensional distribution function is expressible in terms of a solution to a system of differential equations.

Probability · Mathematics 2007-05-23 Craig A. Tracy , Harold Widom

We consider certain noncolliding interacting particle systems driven by Brownian noise. A key example is drifted Brownian motions conditioned not to intersect and related models of eigenvalues of Hermitian random matrices. We establish…

Probability · Mathematics 2026-04-14 Mustazee Rahman

We prove that the Airy process, A(t), locally fluctuates like a Brownian motion. In the same spirit we also show that in a certain scaling limit, the so called discrete polynuclear growth (PNG) process behaves like a Brownian motion.

Probability · Mathematics 2007-05-23 Jonas Hägg

The motion of overdamped particles in a one-dimensional spatially-periodic potential is considered. The potential is also randomly-fluctuating in time, due to multiplicative colored noise terms, and has a deterministic tilt. Numerical…

Statistical Mechanics · Physics 2013-06-06 James P. Gleeson

The Airy distribution (AD) describes the probability distribution of the area under a Brownian excursion. The AD is prominent in several areas of physics, mathematics and computer science. Here we use a dilute colloidal system to directly…

Statistical Mechanics · Physics 2020-02-26 Tal Agranov , Pini Zilber , Naftali R. Smith , Tamir Admon , Yael Roichman , Baruch Meerson

Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions on the real line for the eigenvalues, as was discovered by Dyson. Applying scaling limits to the random matrix models, combined with Dyson's…

Probability · Mathematics 2013-06-06 Mark Adler , Mattia Cafasso , Pierre van Moerbeke

Scaling level-spacing distribution functions in the ``bulk of the spectrum'' in random matrix models of $N\times N$ hermitian matrices and then going to the limit $N\to\infty$, leads to the Fredholm determinant of the sine kernel…

High Energy Physics - Theory · Physics 2009-07-13 Craig A. Tracy , Harold Widom

Scaling level-spacing distribution functions in the ``bulk of the spectrum'' in random matrix models of $N\times N$ hermitian matrices and then going to the limit $N\to\infty$, leads to the Fredholm determinant of the sine kernel…

High Energy Physics - Theory · Physics 2009-07-11 Craig A. Tracy , Harold Widom

The Airy distribution function describes the probability distribution of the area under a Brownian excursion over a unit interval. Surprisingly, this function has appeared in a number of seemingly unrelated problems, mostly in computer…

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

We establish that the static height fluctuations of a particular growth model, the PNG droplet, converges upon proper rescaling to a limit process, which we call the Airy process A(y). The Airy process is stationary, it has continuous…

Probability · Mathematics 2007-05-23 Michael Praehofer , Herbert Spohn

We consider several aspects of the scaling limit of percolation on random planar triangulations, both finite and infinite. The equivalents for random maps of Cardy's formula for the limit under scaling of various crossing probabilities are…

Probability · Mathematics 2007-05-23 Omer Angel

Variational formulations of statics and dynamics of mechanical systems controlled by external forces are presented as examples of variational principles.

Mathematical Physics · Physics 2015-06-26 Antonio De Nicola , Wlodzimierz M. Tulczyjew

Consider $n+m$ nonintersecting Brownian bridges, with $n$ of them leaving from 0 at time $t=-1$ and returning to 0 at time $t=1$, while the $m$ remaining ones (wanderers) go from $m$ points $a_i$ to $m$ points $b_i$. First, we keep $m$…

Probability · Mathematics 2010-10-05 Mark Adler , Patrik L. Ferrari , Pierre van Moerbeke

We study space-time fluctuations around a characteristic line for a one-dimensional interacting system known as the random average process. The state of this system is a real-valued function on the integers. New values of the function are…

Probability · Mathematics 2007-09-12 Marton Balazs , Firas Rassoul-Agha , Timo Seppalainen

In this short paper, we elucidate how the solution of certain illustrative boundary value problems for the Airy equation $u_t+u_{xxx}=0$ on $[0,1]$ can be expressed as a perturbation of the solution of the purely periodic problem. The…

Analysis of PDEs · Mathematics 2022-12-07 B. Pelloni , D. A. Smith

Covariances and variances of linear statistics of a point process can be written as integrals over the truncated two-point correlation function. When the point process consists of the eigenvalues of a random matrix ensemble, there are often…

Mathematical Physics · Physics 2022-05-04 Peter J. Forrester