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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

 
 

 

A random variable whose digits in the $\widetilde {L}$-representation have the Markovian dependence


Authors: M. V. Prats’ovytyĭ and Yu. V. Khvorostina
Translated by: S. Kvasko
Journal: Theor. Probability and Math. Statist. 91 (2015), 157-168
MSC (2010): Primary 60E05
DOI: https://doi.org/10.1090/tpms/974
Published electronically: February 4, 2016
MathSciNet review: 3364131
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Abstract | References | Similar Articles | Additional Information

Abstract: The distribution of the random variable \[ \theta =\frac {1}{\theta _1}+\sum ^{\infty }_{n=2}\frac {(-1)^{n-1}} {\theta _1(\theta _{1}+1)\dots \theta _{n-1}(\theta _{n-1}+1)\theta _{n}}\] is studied where $(\theta _n)$ is a homogeneous Markov chain assuming only positive integer values and having the initial distribution $(p_1, p_2,\dots , p_n,\dots )$ and transition matrix $\|p_{ik}\|$. The Lebesgue structure of the distribution (discrete, absolutely continuous, and singular components) is studied and topological, metric and fractal properties of the spectrum (the minimal closed support of the distribution) is investigated.


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References
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Additional Information

M. V. Prats’ovytyĭ
Affiliation: Department of Higher Mathematics, Institute for Physics and Mathematics, National Pedagogical Dragomanov University, Pirogov Street, 9, Kyiv, 01601, Ukraine
Email: prats4@yandex.ru

Yu. V. Khvorostina
Affiliation: Department for Physics and Mathematics #1, Sumy State Pedagogical Makarenko University, Romens’ka Street, 87, Sumy, 40002, Ukraine
Email: khvorostina13@mail.ru

Keywords: Alternating Lüroth series; $\widetilde {L}$-representation; random variable; distribution of the sum of a Lüroth series whose terms are random variables with the Markov dependence; Lebesgue structure of distributions; singular distribution with an anomalous fractal spectrum
Received by editor(s): September 21, 2014
Published electronically: February 4, 2016
Article copyright: © Copyright 2016 American Mathematical Society