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Let $X$ be a Polish space, $\mathcal{P}(X)$ be the set of Borel probability measures on $X$, and $T\colon X\to X$ be a homeomorphism. We prove that for the simplex $\mathrm{Dom} \subseteq \mathcal{P}(X)$ of all $T$-invariant measures, the…

Probability · Mathematics 2015-11-05 Danila Zaev

We propose the use of the Kantorovich-Rubinstein norm from optimal transport in imaging problems. In particular, we discuss a variational regularisation model endowed with a Kantorovich-Rubinstein discrepancy term and total variation…

Computer Vision and Pattern Recognition · Computer Science 2020-02-13 Jan Lellmann , Dirk A. Lorenz , Carola Schönlieb , Tuomo Valkonen

We give direct and inverse theorems for the weighted approximation of functions with inner singularities by combinations of Bernstein polynomials.

Functional Analysis · Mathematics 2011-04-25 Wen-Ming Lu , Lin Zhang

Kontsevitch's work on Airy matrix integrals has led to explicit results for the intersection numbers of the moduli space of curves. In a subsequent work Okounkov rederived these results from the edge behavior of a Gaussian matrix integral.…

Mathematical Physics · Physics 2009-11-13 E. Brezin , S. Hikami

For an arbitrary operator A on a Banach space X which is a generator of C_0-group with certain growth condition at the infinity, the direct theorems on connection between the smoothness degree of a vector $x\in X$ with respect to the…

Functional Analysis · Mathematics 2008-09-24 Ya. Grushka , S. Torba

A representation for the Kantorovich--Rubinstein distance between probability measures on an abstract Wiener space in terms of the extended stochastic integral (or, divergence) operator is obtained.

Probability · Mathematics 2016-08-26 Georgii Riabov

In Diophantine approximation, inhomogeneous problems are linked with homogeneous ones by means of the so-called Transference Theorems. We revisit this classical topic by introducing new exponents of Diophantine approximation. We prove that…

Number Theory · Mathematics 2007-05-23 Yann Bugeaud , Michel Laurent

We introduce generalized notions of a divergence function and a Fisher information matrix. We propose to generalize the notion of an exponential family of models by reformulating it in terms of the Fisher information matrix. Our methods are…

Information Theory · Computer Science 2013-02-22 Jan Naudts , Ben Anthonis

In this paper, we present a novel method to compute an explicit formula for the inverse of the confluent Vandermonde matrices. Our proposed results may have many interesting perspectives in diverse areas of mathematics and natural sciences,…

Rings and Algebras · Mathematics 2020-10-09 M. Moucouf , S. Zriaa

We prove a strong invariance principle for the Kantorovich distance between the empiricaldistribution and the marginal distribution of stationary $\alpha$-mixing sequences.

Probability · Mathematics 2023-01-16 Jérôme Dedecker , Florence Merlevède

This paper discusses the explicit inverse of a class of seven-diagonal (near) Toeplitz matrices, which arises in the numerical solutions of nonlinear fourth-order differential equation with a finite difference method. A non-recurrence…

Numerical Analysis · Mathematics 2021-03-19 Bakytzhan Kurmanbek , Yogi Erlangga , Yerlan Amanbek

We study the relative entropy of the empirical probability vector with respect to the true probability vector in multinomial sampling of $k$ categories, which, when multiplied by sample size $n$, is also the log-likelihood ratio statistic.…

Statistics Theory · Mathematics 2022-12-06 F. Richard Guo , Thomas S. Richardson

This paper proposes a direct sampling method for the inverse problem of magnetic induction tomography (MIT). Our approach defines a class of point spread functions with explicit expressions, which are computed via inner products, leading to…

Numerical Analysis · Mathematics 2026-01-29 Junqing Chen , Chengzhe Jiang

Sensitivity properties describe how changes to the input of a program affect the output, typically by upper bounding the distance between the outputs of two runs by a monotone function of the distance between the corresponding inputs. When…

Logic in Computer Science · Computer Science 2020-08-11 Alejandro Aguirre , Gilles Barthe , Justin Hsu , Benjamin Lucien Kaminski , Joost-Pieter Katoen , Christoph Matheja

This article presents the inverse of the kernel operator associated with the complete quadratic Lyapunov-Krasovskii functional for coupled differential-functional equations when the kernel operator is separable. Similar to the case of…

Systems and Control · Computer Science 2017-03-31 Guoying Miao , Matthew M. Peet , Keqin Gu

We utilize group-theoretical methods to develop a matrix representation of differential operators that act on tensors of any rank. In particular, we concentrate on the matrix formulation of the curl operator. A self-adjoint matrix of the…

Mathematical Physics · Physics 2016-05-18 J. Ramos , M. de Montigny , F. C. Khanna

In the present article, we deal with the overconvergence of the Sz?asz-Durrmeyer-Chlodowsky operators. Here we study the approximation properties e.g. upper estimates, Voronovskaja type result for these operators attached to analytic…

Classical Analysis and ODEs · Mathematics 2016-05-19 Meenu Goyal , P. N. Agrawal

Using the group-theoretical approach to the inverse scattering method the supersymmetric Korteweg-de Vries equation is obtained by application of the Drinfeld-Sokolov reduction to osp(1|2) loop superalgebra. The direct and inverse…

High Energy Physics - Theory · Physics 2016-06-08 Petr P. Kulish , Anton M. Zeitlin

We extend the classical Kadec 1/4 theorem for systems of exponential functions on an interval to frames and atomic decompositions formed by sampling an orbit of a vector under an isometric group representation.

Functional Analysis · Mathematics 2025-11-13 Ilya Krishtal , Brendan Miller

We prove a sharp analogue of Minkowski's inhomogeneous approximation theorem over fields of power series $\mathbb{F}_q((T^{-1}))$. Furthermore, we study the approximation to a given point $\underline{y}$ in $\mathbb{F}_q((T^{-1}))^2$ by the…

Number Theory · Mathematics 2020-09-07 Yann Bugeaud , L. Singhal , Zhenliang Zhang