New Sufficient Conditions for Moment-determinacy via Probability Density Tails

Fuente: arXiv
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Auteurs principaux: Lin, Gwo Dong, Stoyanov, Jordan M.
Format: Preprint
Publié: 2025
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author Lin, Gwo Dong
Stoyanov, Jordan M.
author_facet Lin, Gwo Dong
Stoyanov, Jordan M.
contents 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 tails of the density function f. We find and exploit a condition, (D), in terms only of f which is of a `general' form and easy to check. Condition (D), showing the `speed' for f to tend to zero, is sufficient to conclude the moment determinacy. We establish a series of theorems and corollaries in both Stieltjes and Hamburger cases and provide an interesting illustrative example. The results in this paper are either new or extend some recently published results.
format Preprint
id arxiv_https___arxiv_org_abs_2507_05615
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle New Sufficient Conditions for Moment-determinacy via Probability Density Tails
Lin, Gwo Dong
Stoyanov, Jordan M.
Probability
60E05, 44A60
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 tails of the density function f. We find and exploit a condition, (D), in terms only of f which is of a `general' form and easy to check. Condition (D), showing the `speed' for f to tend to zero, is sufficient to conclude the moment determinacy. We establish a series of theorems and corollaries in both Stieltjes and Hamburger cases and provide an interesting illustrative example. The results in this paper are either new or extend some recently published results.
title New Sufficient Conditions for Moment-determinacy via Probability Density Tails
topic Probability
60E05, 44A60
url https://arxiv.org/abs/2507.05615