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The uniqueness question of the multivariate moment problem is studied by different methods: Hilbert space operators, complex function theory, polynomial approximation, disintegration, integral geometry. Most of the known results in the…

Functional Analysis · Mathematics 2008-10-07 Mihai Putinar , Konrad Schmüdgen

We study a truncated two-dimensional moment problem in terms of the Stieltjes transform. The set of the solutions is described by the Schur step-by-step algorithm, which is based on the continued fraction expansion of the solution. In…

Functional Analysis · Mathematics 2024-04-05 Ivan Kovalyov , Stefan Kunis

The concept of moment differentiation is extended to the class of moment summable functions, giving rise to moment differential properties. The main result leans on accurate upper estimates for the integral representation of the moment…

Complex Variables · Mathematics 2020-07-20 Alberto Lastra , Slawomir Michalik , Maria Suwinska

Full indefinite Stieltjes moment problem is studied via the step-by-step Schur algorithm. Naturally associated with indefinite Stieltjes moment problem are generalized Stieltjes continued fraction and a system of difference equations,…

Spectral Theory · Mathematics 2020-02-19 V. Derkach , I. Kovalyov

We consider the probability theory, and in particular the moment problem and universality theorems, for random groups of the sort of that arise or are conjectured to arise in number theory, and in related situations in topology and…

Number Theory · Mathematics 2023-01-25 Melanie Matchett Wood

We address the initial source identification problem for the heat equation, a notably ill-posed inverse problem characterized by exponential instability. Departing from classical Tikhonov regularization, we propose a novel approach based on…

Numerical Analysis · Mathematics 2026-01-15 Kang Liu , Enrique Zuazua

The two-dimensional moment problem consists of finding a positive Borel measure $\mu$ in $\mathbb{R}^2$ such that $\int_{\mathbb{R}^2} t_1^m t_2^n d\mu = s_{m,n}$, $m,n=0,1,2,...$, where $s_{m,n}$ are prescribed real constants (moments). We…

Classical Analysis and ODEs · Mathematics 2025-08-15 Sergey M. Zagorodnyuk

The aim of this paper is to study the full $K-$moment problem for measures supported on some particular non-linear subsets $K$ of an infinite dimensional vector space. We focus on the case of random measures, that is $K$ is a subset of all…

Functional Analysis · Mathematics 2021-08-16 Maria Infusino , Tobias Kuna

The main goal of this paper is to achieve a simultaneous treatment of the even and odd truncated matricial Stieltjes moment problems in the most general case. These results are generalizations of results of Chen and Hu [5,17] which…

Complex Variables · Mathematics 2016-04-27 Bernd Fritzsche , Bernd Kirstein , Conrad Mädler

We identify measures arising in the representations of products of generalized Stieltjes transforms as generalized Stieltjes transforms, provide optimal estimates for the size of those measures, and address a similar issue for generalized…

Classical Analysis and ODEs · Mathematics 2023-07-20 Alexander Gomilko , Yuri Tomilov

Nondegenerate truncated indefinite Stieltjes moment problem in the class $\mathbf{N}_{\kappa}^{k}$ of generalized Stieltjes functions is considered. To describe the set of solutions of this problem we apply the Schur step-by-step algorythm,…

Classical Analysis and ODEs · Mathematics 2016-06-13 Vladimir Derkach , Ivan Kovalyov

The fibre theorem \cite{schm2003} for the moment problem on closed semi-algebraic subsets of $\R^d$ is generalized to finitely generated real unital algebras. As an application two new theorems on the rational multidimensional moment…

Functional Analysis · Mathematics 2015-07-09 Konrad Schmüdgen

A moment problem is presented for a class of signed measures which are termed pseudo-positive. Our main result says that for every pseudo-positive definite functional (subject to some reasonable restrictions) there exists a representing…

Functional Analysis · Mathematics 2010-06-08 Ognyan Kounchev , Hermann Render

This paper re-examines the first normalized incomplete moment, a well-established measure of inequality with wide applications in economic and social sciences. Despite the popularity of the measure itself, existing statistical inference…

Methodology · Statistics 2025-08-26 Jiannan Lu , Peng Ding , Anqi Zhao

We deal with and investigate sparse univariate Positivstellens\"atze, Nichtnegativstellens\"atze, and solutions to sparse moment problems. The paper relies heavily on results on T-system by Karlin in 1963 and by Karlin and Studden in 1966.…

Classical Analysis and ODEs · Mathematics 2023-09-19 Philipp J. di Dio

The generalized problem of moments is a conic linear optimization problem over the convex cone of positive Borel measures with given support. It has a large variety of applications, including global optimization of polynomials and rational…

Optimization and Control · Mathematics 2018-11-14 Etienne de Klerk , Monique Laurent

Truncated moment problems in the class of generalized Nevanlinna functions are investigated. General solvability criteria will be established, covering both the even and odd problems, including complete parametrizations of solutions. The…

Functional Analysis · Mathematics 2011-01-04 Vladimir Derkach , Seppo Hassi , Henk de Snoo

We study the truncated two-dimensional moment problem (with rectangular data): to find a non-negative measure $\mu(\delta)$, $\delta\in\mathfrak{B}(\mathbb{R}^2)$, such that $\int_{\mathbb{R}^2} x_1^m x_2^n d\mu = s_{m,n}$, $0\leq m\leq…

Functional Analysis · Mathematics 2017-08-01 Sergey M. Zagorodnyuk

In 1974 J\"urgen Moser has shown that the classical Moment Problem plays a fundamental role for the theory of completely integrable systems, by proving that the simplest case of the finite Toda lattice is described exhaustively in its…

Analysis of PDEs · Mathematics 2013-10-15 Sergio Albeverio , Ognyan Kounchev

Models phrased though moment conditions are central to much of modern inference. Here these moment conditions are embedded within a nonparametric Bayesian setup. Handling such a model is not probabilistically straightforward as the…

Methodology · Statistics 2016-01-14 Luke Bornn , Neil Shephard , Reza Solgi