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The class $\boldsymbol{Q}$ and mixture distributions with dominated continuous singular parts

Alexey A. Khartov

Vol. 343 (2026), No. 1, 139–177
Abstract

We consider a new class Q of distribution functions F that have the property of rational-infinite divisibility: there exist some infinitely divisible distribution functions F1 and F2 such that F1 = F F2. A distribution function of class Q is quasi-infinitely divisible in the sense that its characteristic function admits the Lévy-type representation with a “signed spectral measure”. This class is a wide natural extension of the fundamental class of infinitely divisible distribution functions and it is being actively studied now. We are interested in conditions for a distribution function F to belong to class Q for the unexplored case, where F may have a continuous singular part. We propose a criterion under the assumption that the continuous singular part of F is dominated by the discrete part in a certain sense. The criterion generalizes the previous results by Alexeev and Khartov for discrete probability laws and the results by Berger and Kutlu for the mixtures of discrete and absolutely continuous laws. In addition, we describe the characteristic triplet of the corresponding Lévy-type representation, which may contain a continuous singular part. We also show that the assumption of the dominated continuous singular part cannot be omitted or even slightly extended (without some special assumptions). We apply the general criterion to some interesting particular examples. We also positively solve the decomposition problem stated by Lindner, Pan and Sato within the case being considered.

Keywords
distribution function, characteristic function, continuous singular part, infinite divisibility, rational-infinite divisibility, quasi-infinite divisibility, Lévy-type representation
Mathematical Subject Classification
Primary: 60E05, 60E07, 60E10
Milestones
Received: 17 June 2025
Revised: 18 March 2026
Accepted: 13 April 2026
Published: 29 April 2026
Authors
Alexey A. Khartov
Institute for Information Transmission Problems RAS (Kharkevich Institute) of the Russian Academy of Sciences
Moscow
Russia
Smolensk State University
Smolensk
Russia

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