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The Stieltjes classes play a significant role in the moment problem since they permit to expose an infinite family of probability distributions all having equal moments of all orders. Given a moment-indeterminate distribution, it may not be…

Probability · Mathematics 2019-07-08 Sofiya Ostrovska , Mehmet Turan

Given $0<q<1,$ every absolutely continuous distribution can be described in two different ways: in terms of a probability density function and also in terms of a $q$-density. Correspondingly, it has a sequence of moments and a sequence of…

Probability · Mathematics 2019-07-11 Sofiya Ostrovska , Mehmet Turan

Probability densities that are not uniquely determined by their moments are said to be "moment-indeterminate", or "M-indeterminate". Determining whether or not a density is M-indeterminate, or how to generate an M-indeterminate density, is…

Quantum Physics · Physics 2021-07-28 Rafael Sala Mayato , Patrick Loughlin , Leon Cohen

We consider a normalized indeterminate Hamburger moment sequence s which is supposed to be Stieltjes. We revisit old results about determinacy/indeterminacy in the sense of Stieltjes for s and we prove some new results about the concepts…

Functional Analysis · Mathematics 2025-12-23 Christian Berg

We have analyzed some conditions which are essentially involved in deciding whether or not a probability distribution is unique (moment-determinate) or non-unique (moment-indeterminate) by its moments. We suggest new conditions concerning…

Probability · Mathematics 2020-07-21 Jordan M. Stoyanov , Gwo Dong Lin , Peter Kopanov

This paper studies a Stieltjes-type moment problem defined by the generalized lognormal distribution, a heavy-tailed distribution with applications in economics, finance and related fields. It arises as the distribution of the exponential…

Probability · Mathematics 2016-08-19 Christian Kleiber

This paper treat determinacy of strong moment problems in part I and indeterminacy of strong moment problems in part II. This paper is a summary of the following papers: [1] Ald\'en. E., Determinacy of Strong Moment Problems. [2] On…

Classical Analysis and ODEs · Mathematics 2016-04-22 Erik Aldén

We consider univariate distributions with finite moments of all positive orders. The moment problem is to determine whether or not a given distribution is uniquely determined by the sequence of its moments. There is a huge literature on…

Probability · Mathematics 2017-07-11 Gwo Dong Lin

Recent works have shown that the family of probability distributions with moments given by the Fuss-Catalan numbers permit a simple parameterized form for their density. We extend this result to the Raney distribution which by definition…

Mathematical Physics · Physics 2015-06-19 Peter J. Forrester , Dang-Zheng Liu

Krein condition have been used as a qualitative result to show the M-indeterminacy of some kind of densities. In this work we use results from the theory of the Hilbert transform to construct families of densities having all the same finite…

Probability · Mathematics 2020-07-16 Marcos López-García

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

One of the ways to characterize a probability distribution is to show that it is moment-determinate, uniquely determined by knowing all its moments. The uniqueness, in the absolutely continuous case, depends entirely on the behaviour of the…

Probability · Mathematics 2025-11-03 Gwo Dong Lin , Jordan M. Stoyanov

We prove a solvability theorem for the Stieltjes moment problem on $R^d$ which is based on the multivariate Stieltjes condition $\sum_{n=1}^\infty L(x_j^n)^{-1/(2n)}=+\infty$, $j=1,\dots,d.$ This result is applied to derive a new…

Functional Analysis · Mathematics 2020-11-10 Konrad Schmüdgen

In this paper we study the strong matrix Stieltjes moment problem. We obtain necessary and sufficient conditions for its solvability. An analytic description of all solutions of the moment problem is derived. Necessary and sufficient…

Functional Analysis · Mathematics 2011-06-13 A. E. Choque Rivero , S. M. Zagorodnyuk

The Boltzmann-Gibbs probability distribution, seen as a statistical model, belongs to the exponential family. Recently, the latter concept has been generalized. The q-exponential family has been shown to be relevant for the statistical…

Statistical Mechanics · Physics 2015-05-14 Jan Naudts

We show that Stieltjes moment sequences are infinitely log-convex, which parallels a famous result that (finite) P\'olya frequency sequences are infinitely log-concave. We introduce the concept of $q$-Stieltjes moment sequences of…

Combinatorics · Mathematics 2016-12-14 Yi Wang , Bao-Xuan Zhu

We consider distributions on $\mathbb{R}$ that can be written as the sum of a non-zero discrete distribution and an absolutely continuous distribution. We show that such a distribution is quasi-infinitely divisible if and only if its…

Probability · Mathematics 2022-04-21 David Berger , Merve Kutlu

This paper aims at finding conditions on a Hamburger or Stieltjes moment sequence, under which the change of at most a finite number of its entries produces another sequence of the same type. It turns out that a moment sequence allows all…

Classical Analysis and ODEs · Mathematics 2017-12-05 Alexander Dyachenko

The Stieltjes moment problem is studied in a new framework within the general Gelfand-Shilov spaces defined via weight sequences. The novelty consists of allowing for a naturally larger target space for the moment mapping, which sends a…

Functional Analysis · Mathematics 2025-11-11 Javier Jiménez-Garrido , Ignacio Miguel-Cantero , Javier Sanz , Gerhard Schindl

We consider the Stieltjes moment problem for the Berg-Urbanik semigroups which form a class of multiplicative convolution semigroups on $\mathbb{R}_+$ that is in bijection with the set of Bernstein functions. Berg and Dur\'an proved that…

Probability · Mathematics 2022-05-24 Pierre Patie , Aditya Vaidyanathan
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