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This study aims to develop the limit theorems on the sample autocovariances and sample autocorrelations for certain stationary infinitely divisible processes. We consider the case where the infinitely divisible process has heavy tail…

Probability · Mathematics 2014-06-17 Takashi Owada

This paper continues the study of [11, 13] for stationary solutions of stochastic linear retarded functional differential equations with the emphasis on delays which appear in those terms including spatial partial derivatives. As a…

Probability · Mathematics 2014-02-11 Kai Liu

Recently, a method was presented for constructing self-energies within many-body perturbation theory that are guaranteed to produce a positive spectral function for equilibrium systems, by representing the self-energy as a product of…

Statistical Mechanics · Physics 2019-05-14 Markku J. Hyrkäs , Daniel Karlsson , Robert van Leeuwen

We study flocking in one dimension, introducing a lattice model in which particles can move either left or right. We find that the model exhibits a continuous nonequilibrium phase transition from a condensed phase, in which a single `flock'…

Statistical Mechanics · Physics 2009-10-31 O. J. O'Loan , M. R. Evans

The present paper establishes upper and lower bounds on the speed of approximation in a wide range of natural Diophantine approximation problems. The upper and lower bounds coincide in many cases, giving rise to optimal results in…

Number Theory · Mathematics 2014-07-11 Anish Ghosh , Alex Gorodnik , Amos Nevo

The two-dimensional comb lattice $C_2$ is a natural spanning tree of the Euclidean lattice $\mathbb{Z}^2$. We study three related cluster growth models on $C_2$: internal diffusion limited aggregation (IDLA), in which random walkers move on…

Probability · Mathematics 2012-04-13 Wilfried Huss , Ecaterina Sava

We prove that the stationary measures for the free-energy increment process for the geometric last passage percolation (LPP) and log-gamma polymer model on a diagonal strip is given by a marginal of a two-layer Gibbs measure with a simple…

Probability · Mathematics 2024-06-18 Guillaume Barraquand , Ivan Corwin , Zongrui Yang

In this paper we study pattern formation arising in a system of a single reaction-diffusion equation coupled with subsystem of ordinary differential equations, describing spatially-distributed growth of clonal populations of precancerous…

Tissues and Organs · Quantitative Biology 2019-05-14 Yuriy Golovaty , Anna Marciniak-Czochra , Mariya Ptashnyk

We introduce a notion of fractional Laplacian for functions which grow more than linearly at infinity. In such case, the operator is not defined in the classical sense: nevertheless, we can give an ad-hoc definition which can be useful for…

Analysis of PDEs · Mathematics 2016-10-18 Serena Dipierro , Ovidiu Savin , Enrico Valdinoci

We introduce and investigate the algebras of steadily growing length, that is the class of algebras, where the length is bounded by a linear function of the dimension. In particular we show that Malcev algebras belong to this class and…

Rings and Algebras · Mathematics 2022-03-08 Alexander Guterman , Dmitry Kudryavtsev

We extend to Lipschitz continuous functionals either of the true paths or of the Euler scheme with decreasing step of a wide class of Brownian ergodic diffusions, the Central Limit Theorems formally established for their marginal empirical…

Probability · Mathematics 2013-04-03 Gilles Pagès , Fabien Panloup

We consider (a variant of) the external multi-particle diffusion-limited aggregation (MDLA) process of Rosenstock and Marquardt on the plane. Based on the recent findings of [11], [10] in one space dimension it is natural to conjecture that…

Probability · Mathematics 2021-02-19 Sergey Nadtochiy , Mykhaylo Shkolnikov , Xiling Zhang

The LASSO is a widely used statistical methodology for simultaneous estimation and variable selection. In the last years, many authors analyzed this technique from a theoretical and applied point of view. We introduce and study the adaptive…

Statistics Theory · Mathematics 2010-02-09 A. De Gregorio , S. M. Iacus

We establish a sharp uniform-in-time error estimate for the Stochastic Gradient Langevin Dynamics (SGLD), which is a widely-used sampling algorithm. Under mild assumptions, we obtain a uniform-in-time $O(\eta^2)$ bound for the KL-divergence…

Probability · Mathematics 2025-03-20 Lei Li , Yuliang Wang

In this work, we investigate the extremal behaviour of left-stationary symmetric $\alpha$-stable (S$\alpha$S) random fields indexed by finitely generated free groups. We begin by studying the rate of growth of a sequence of partial maxima…

Probability · Mathematics 2017-10-25 Sourav Sarkar , Parthanil Roy

We consider internal diffusion limited aggregation in dimension larger than or equal to two. This is a random cluster growth model, where random walks start at the origin of the d-dimensional lattice, one at a time, and stop moving when…

Probability · Mathematics 2011-11-21 Amine Asselah , Alexandre Gaudilliere

We introduce an inhomogeneously-nonlinear Schr{\"o}dinger lattice, featuring a defocusing segment, a focusing segment and a transitional interface between the two. We illustrate that such inhomogeneous settings present vastly different…

Pattern Formation and Solitons · Physics 2009-11-11 Debra L. Machacek , Elizabeth A. Foreman , Q. E. Hoq , P. G. Kevrekidis , A. Saxena , D. J. Frantzeskakis , A. R. Bishop

We study the fractal and multifractal properties (i.e. the generalized dimensions of the harmonic measure) of a 2-parameter family of growth patterns that result from a growth model that interpolates between Diffusion Limited Aggregation…

Statistical Mechanics · Physics 2009-11-07 H. George E. Hentschel , Anders Levermann , Itamar Procaccia

Let $\Gamma$ be an irreducible lattice in $\PSL_2(\RR)^d$ ($d\in\NN$) and $z$ a point in the $d$-fold direct product of the upper half plane. We study the discrete set of componentwise distances ${\bf D}(\Gm,z)\subset \RR^d$ defined in (1).…

Number Theory · Mathematics 2009-04-21 Roelof Bruggeman , Fritz Grunewald , Roberto Miatello

We develop a novel analytical approach to the problem of single particle localization in infinite dimensional spaces such as Bethe lattice and random regular graphs. The key ingredient of the approach is the notion of the inverted order…

Disordered Systems and Neural Networks · Physics 2018-02-14 V. E. Kravtsov , B. L. Altshuler , L. B. Ioffe