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Related papers: A Note on the Conditions for COS Convergence

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Necessary and sufficient oscillation conditions are given for a weakly convergent sequence (resp. relatively weakly compact set) in the Bochner-Lebesgue space $\l1$ to be norm convergent (resp. relatively norm compact), thus extending the…

Functional Analysis · Mathematics 2016-09-06 Erik J. Balder , Maria Girardi , Vincent Jalby

Arbitrarily large ground state population is a general property of any ideal bose gas when conditions of degeneracy are satisfied; it occurs at any dimension D. For $D = 1$, the condensation is diffuse, at $D = 2$ it is a sort of…

Condensed Matter · Physics 2015-06-25 H. Perez Rojas

In the past few years, several new matching models have been proposed and studied that take into account complex distributional constraints. Relevant lines of work include (1) school choice with diversity constraints where students have…

Computer Science and Game Theory · Computer Science 2020-02-18 Haris Aziz , Serge Gaspers , Zhaohong Sun , Toby Walsh

We discuss a new density of states (DoS) approach to solve the complex action problem that is caused by topological terms. The key ingredient is to use open boundary conditions for (at least) one of the directions, such that the…

High Energy Physics - Lattice · Physics 2021-11-19 Christof Gattringer , Oliver Orasch

Solutions of a variational inequality are found by giving conditions for the monotone convergence with respect to a cone of the Picard iteration corresponding to its natural map. One of these conditions is the isotonicity of the projection…

Optimization and Control · Mathematics 2015-03-23 S. Z. Németh , G. Zhang

For $\chi^2-$tests with increasing number of cells, Cramer-von Mises tests, tests generated $\mathbb{L}_2$- norms of kernel estimators and tests generated quadratic forms of estimators of Fourier coefficients, we find necessary and…

Statistics Theory · Mathematics 2019-09-13 Mikhail Ermakov

Orthogonal statistical learning and double machine learning have emerged as general frameworks for two-stage statistical prediction in the presence of a nuisance component. We establish non-asymptotic bounds on the excess risk of orthogonal…

Machine Learning · Statistics 2022-06-22 Lang Liu , Carlos Cinelli , Zaid Harchaoui

To verify the universal validity of the "two-sided" monotonicity condition introduced in [8], we will apply it to include more classical examples. The present paper selects the $L^{p}$ convergence case for this purpose. Furthermore, Theorem…

Classical Analysis and ODEs · Mathematics 2007-05-23 Rui-Jun Le , Song-Ping Zhou

We use a probabilistic approach to study the rate of convergence to equilibrium for a collisionless (Knudsen) gas in dimension equal to or larger than 2. The use of a coupling between two stochastic processes allows us to extend and refine,…

Mathematical Physics · Physics 2019-10-08 Armand Bernou , Nicolas Fournier

A brief overview of dimensional reductions for diffeomorphism invariant theories is given. The distinction between the physical idea of compactification and the mathematical problem of a consistent truncation is discussed, and the typical…

High Energy Physics - Theory · Physics 2008-11-26 Josep M. Pons

The double series approximation method of Bonnor is a means for examining the gravitational radiation from an axisymmetric isolated source that undergoes a finite period of oscillation. It involves an expansion of the metric as a double…

General Relativity and Quantum Cosmology · Physics 2009-10-28 M. S. Piper

In the context of the Dunkl transform a complete orthogonal system arises in a very natural way. This paper studies the weighted norm convergence of the Fourier series expansion associated to this system. We establish conditions on the…

Functional Analysis · Mathematics 2012-11-06 Ó. Ciaurri , M. Pérez , J. M. Reyes , J. L. Varona

We propose a set of constraints on the ground-state wavefunctions of fracton phases, which provide a possible generalization of the string-net equations used to characterize topological orders in two spatial dimensions. Our constraint…

Strongly Correlated Electrons · Physics 2020-04-30 Nathanan Tantivasadakarn , Sagar Vijay

We study the almost sure convergence of randomly truncated stochastic algorithms. We present a new convergence theorem which extends the already known results by making vanish the classical condition on the noise terms. The aim of this work…

Probability · Mathematics 2009-06-29 Jérôme Lelong

The results of investigations of main characteristics of a one-dimensional percolation theory (percolation threshold, critical exponents of correlation radius and specific heat, and free energy) are presented for the problem of bonds and…

Disordered Systems and Neural Networks · Physics 2011-01-25 Mariya Bureeva , Vladimir Udodov

It has been widely realized that Monte Carlo methods (approximation via a sample ensemble) may fail in large scale systems. This work offers some theoretical insight into this phenomenon in the context of the particle filter. We demonstrate…

Statistics Theory · Mathematics 2008-12-18 Thomas Bengtsson , Peter Bickel , Bo Li

For classical discrete systems on periodic lattice under constant composition x, we derive explicit expression of any-order moments for configurational density of states (CDOS). The derived expression clarifies that any-order moments can…

Statistical Mechanics · Physics 2018-05-22 Shouno Ohta , Koretaka Yuge

It is shown that local distinguishability of orthogonal mixed states can be completely characterized by local distinguishability of their supports irrespective of entanglement and mixedness of the states. This leads to two kinds of upper…

Quantum Physics · Physics 2012-04-20 Somshubhro Bandyopadhyay

We introduce a notion of vague convergence for random marked metric measure spaces. Our main result shows that convergence of the moments of order $k \ge 1$ of a random marked metric measure space is sufficient to obtain its vague…

Probability · Mathematics 2024-12-23 Félix Foutel-Rodier

We provide theoretical error bounds for the accurate numerical computation of the quantile function given the characteristic function of a continuous random variable. We show theoretically and empirically that the numerical error of the…

Statistics Theory · Mathematics 2025-02-20 Gero Junike