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This article is concerned with numerical methods to approximate effective coefficients in stochastic homogenization of discrete linear elliptic equations, and their numerical analysis --- which has been made possible by recent contributions…

数值分析 · 数学 2012-11-09 A. -C. Egloffe , A. Gloria , J. -C. Mourrat , T. N. Nguyen

We develop a framework for multiscale analysis of elliptic operators with high-contrast random coefficients. For a general class of such operators, we provide a detailed spectral analysis of the corresponding homogenised limit operator.…

偏微分方程分析 · 数学 2024-10-17 Mikhail Cherdantsev , Kirill Cherednichenko , Igor Velčić

For the formal verification and design of control systems, abstractions with quantified accuracy are crucial. This is especially the case when considering accurate deviation bounds between a stochastic continuous-state model and its finite…

系统与控制 · 电气工程与系统科学 2022-01-19 B. C. van Huijgevoort , S. Haesaert

We derive a new upper bound for the correlations in a heterogeneous one-dimensional Ising model with free boundary conditions. The new upper bound quantifies the simultaneous decay of correlations due to weakness of nearest-neighbor…

概率论 · 数学 2026-02-10 Edward Athaide , Maciej Głuchowski , Jonas Köppl , Georg Menz

When observing spatial data, what standard errors should we report? With the finite population framework, we identify three channels of spatial correlation: sampling scheme, assignment design, and model specification. The Eicker-Huber-White…

计量经济学 · 经济学 2022-11-29 Ruonan Xu , Jeffrey M. Wooldridge

In this paper, we find some error estimates for periodic homogenization of p-Laplace type equations under the same structure assumption on homogenized equations. The main idea is that by adjusting the size of the difference quotient of the…

偏微分方程分析 · 数学 2018-12-13 Li Wang , Qiang Xu , Peihao Zhao

We derive an analytical expression for a novel large-scale structure observable: the line correlation function. The line correlation function, which is constructed from the three-point correlation function of the phase of the density field,…

宇宙学与河外天体物理 · 物理学 2023-06-09 Richard Wolstenhulme , Camille Bonvin , Danail Obreschkow

Learning models have been shown to rely on spurious correlations between non-predictive features and the associated labels in the training data, with negative implications on robustness, bias and fairness. In this work, we provide a…

机器学习 · 统计学 2025-05-29 Simone Bombari , Marco Mondelli

The use of degree-degree correlations to model realistic networks which are characterized by their Pearson's coefficient, has become widespread. However the effect on how different correlation algorithms produce different results on…

物理与社会 · 物理学 2011-12-30 L. D. Valdez , C. Buono , L. A. Braunstein , P. A. Macri

The stochastic approach to calculating scalar correlation functions in de Sitter spacetime is extended beyond the overdamped "slow roll" approximation. We show that with the correct noise term, it reproduces the exact asymptotic…

广义相对论与量子宇宙学 · 物理学 2021-11-22 Archie Cable , Arttu Rajantie

Detecting the components common or correlated across multiple data sets is challenging due to a large number of possible correlation structures among the components. Even more challenging is to determine the precise structure of these…

信息论 · 计算机科学 2019-02-01 Tanuj Hasija , Christian Lameiro , Timothy Marrinan , Peter J. Schreier

We study the large scale behavior of elliptic systems with stationary random coefficient that have only slowly decaying correlations. To this aim we analyze the so-called corrector equation, a degenerate elliptic equation posed in the…

偏微分方程分析 · 数学 2022-01-14 Nicolas Clozeau

The general correlator of composite operators of N=4 supersymmetric gauge field theory is divergent. We introduce a means for renormalizing these correlators by adding a boundary theory on the AdS space correcting for the divergences. Such…

高能物理 - 理论 · 物理学 2014-11-18 Gordon Chalmers , Koenraad Schalm

We present a quantitative analysis of the Boltzmann-Grad (low-density) limit of a hard sphere system. We introduce and study a set of functions (correlation errors) measuring the deviations in time from the statistical independence of…

数学物理 · 物理学 2016-11-28 Mario Pulvirenti , Sergio Simonella

This work is driven by a practical question: corrections of Artificial Intelligence (AI) errors. These corrections should be quick and non-iterative. To solve this problem without modification of a legacy AI system, we propose special…

机器学习 · 计算机科学 2021-10-26 Alexander N. Gorban , Bogdan Grechuk , Evgeny M. Mirkes , Sergey V. Stasenko , Ivan Y. Tyukin

Energy correlators offer a clean probe of quantum chromodynamics, serving as an ideal laboratory to rigorously investigate non-perturbative power corrections. The recent discovery that linear corrections exhibit a universal anomalous…

高能物理 - 唯象学 · 物理学 2026-04-15 Hao Chen , Yibei Li

We consider an oscillatory obstacle problem where the coincidence set and free boundary are also highly oscillatory. We establish a rate of convergence for a regularized notion of free boundary to the free boundary of a corresponding…

偏微分方程分析 · 数学 2022-08-10 Farhan Abedin , William M Feldman

It is known that discrete scale invariance leads to log-periodic corrections to scaling. We investigate the correlations of a system with discrete scale symmetry, discuss in detail possible extension of this symmetry such as translation and…

凝聚态物理 · 物理学 2009-11-07 N. Abed-Pour , A. Aghamohammadi , M. Khorrami , M. Reza Rahimi Tabar

In this paper, we study the holographic quantum error correcting code properties in different boundary fractal-like structures. We construct and explore different examples of the uberholographic bulk reconstruction corresponding to these…

高能物理 - 理论 · 物理学 2023-08-02 Dmitry S. Ageev

We provide a corrector theory for the strong approximation of fields inside composites made from two materials with different power law behavior. The correctors are used to develop bounds on the local singularity strength for gradient…

偏微分方程分析 · 数学 2010-04-06 Silvia Jimenez , Robert P. Lipton