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20032025
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16 papers · 1 filter

math.PR2021

On the Gaussian surface area of spectrahedra

Srinivasan Arunachalam, Oded Regev, Penghui Yao

We show that for sufficiently large and for some universal constant , a random spectrahedron with matrices drawn from Gaussian orthogonal ensemble has…

math.PR2021★ 3 cited

Splitting algorithm and normed convergence for drawing the random fractal Loewner curves

Jiaming Chen, Vlad Margarint

In the first part of the paper we propose and study the approximation of the trace via the Ninomiya-Victoir splitting algorithm. We prove the uniform convergence in probabi…

math.PR2021

Dynamical Fractional and Multifractal Fields

Gabriel B. Apolinário, Laurent Chevillard, Jean-Christophe Mourrat

Motivated by the modeling of three-dimensional fluid turbulence, we define and study a class of stochastic partial differential equations (SPDEs) that are randomly stirred by a spa…

math.PR2021★ 10 cited

A quenched local limit theorem for stochastic flows

Alexander Dunlap, Yu Gu

We consider a particle undergoing Brownian motion in Euclidean space of any dimension, forced by a Gaussian random velocity field that is white in time and smooth in space. We show…

math.PR2021★ 21 cited

Exponential growth of random determinants beyond invariance

Gérard Ben Arous, Paul Bourgade, Benjamin McKenna

We give simple criteria to identify the exponential order of magnitude of the absolute value of the determinant for wide classes of random matrix models, not requiring the assumpti…

math.PR2020★ 3 cited

Edge Universality for Nonintersecting Brownian Bridges

Jiaoyang Huang

In this paper we study fluctuations of extreme particles of nonintersecting Brownian bridges starting from at time and ending at $b_1\leq b_…

math.PR2020★ 7 cited

Height Fluctuations of Random Lozenge Tilings Through Nonintersecting Random Walks

Jiaoyang Huang

In this paper we study height fluctuations of random lozenge tilings of polygonal domains on the triangular lattice through nonintersecting Bernoulli random walks. For a large clas…

math.PR2020★ 1 cited

A Dynamical Central Limit Theorem for Shallow Neural Networks

Zhengdao Chen, Grant M. Rotskoff, Joan Bruna +1

Recent theoretical works have characterized the dynamics of wide shallow neural networks trained via gradient descent in an asymptotic mean-field limit when the width tends towards…

math.PR2020

Probability Theory in Statistical Physics, Percolation, and Other Random Topics: The Work of C. Newman

Federico Camia, Daniel L. Stein

In the introduction to this volume, we discuss some of the highlights of the research career of Chuck Newman. This introduction is divided into two main sections, the first coverin…

math.PR2020★ 1 cited

Complex Solutions to Bessel SDEs and SLEs

Atul Shekhar, Vlad Margarint

We consider a variant of Bessel SDE by allowing the solution to be complex valued. Such SDEs appear naturally while studying the trace of Schramm-Loewner-Evolutions (SLE). We estab…

math.PR2014

Universality of cutoff for the Ising model

Eyal Lubetzky, Allan Sly

On any locally-finite geometry, the stochastic Ising model is known to be contractive when the inverse-temperature is small enough, via classical results of Dobrushin and of Ho…

math.PR2014★ 1 cited

Harmonic pinnacles in the Discrete Gaussian model

Eyal Lubetzky, Fabio Martinelli, Allan Sly

The 2D Discrete Gaussian model gives each height function a probability proportional to , where is the inverse-temperatur…

math.PR2013

Fluid Limits for Bandwidth-Sharing Networks with Rate Constraints

Maria Frolkova, Josh Reed, Bert Zwart

Bandwidth-sharing networks as introduced by Massoulié & Roberts (1998) model the dynamic interaction among an evolving population of elastic flows competing for several links. With…

math.PR2008

A Limit Theorem for Products of Free Unitary Operators

Vladislav Kargin

This paper establishes necessary and sufficient conditions for the products of freely independent unitary operators to converge in distribution to the uniform law on the unit circl…

math.PR2007★ 1 cited

Poisson convergence for the largest eigenvalues of Heavy Tailed Random Matrices

Antonio Auffinger, Gerard Ben Arous, Sandrine Peche

We study the statistics of the largest eigenvalues of real symmetric and sample covariance matrices when the entries are heavy tailed. Extending the result obtained by Soshnikov in…

math.PR2003★ 11 cited

Gaussian free fields for mathematicians

Scott Sheffield

The d-dimensional Gaussian free field (GFF), also called the (Euclidean bosonic) massless free field, is a d-dimensional-time analog of Brownian motion. Just as Brownian motion is…