Applications of Yu. V. Linnik’s theorem and a result of B. Ramachandran and K. R. Rao are discussed to obtain the necessary convergence conditions in special limit theorems. The case of convergence of sums of a random number of random variables is also considered.
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References
A. V. Kakosyan, L. B. Klebanov, and J. A. Melamed, Characterization of Distributions by the Method of Intensively Monotone Operators, Springer, Berlin, Heidelberg, New York, Tokyo (1984).
L. B. Klebanov, Heavy Tailed Distributions, Mathfyzpress, Prague (2003).
L. B. Klebanov, A. V. Kakosyan, S. T. Rachev, and G. Temnov, “On a class of distributions stable under random summation,” J. Appl. Probab., 49, 303–318 (2012).
Yu. V. Linnik, Decompositions of Probability Laws [in Russian], Leningrad (1960).
B. Ramachandran and C. R. Rao, “Some results on characteristic functions and characterizations of the normal and generalized stable distributions,” Sankhyā, Ser. A, 30, No. 1, 125–140 (1968).
N. N. Vakhania, “Elementary proof of Polya’s characterization theorem and of the necessity of second moment in the CLT,” Theory Probab. Appl., 38, No. 1, 166–168 (2006).
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Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 495, 2020, pp. 177–186.
Translated by I. Ponomarenko.
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Klebanov, L.B. Some Applications of Yu. V. Linnik’s Theorem on Characteristic Functions. J Math Sci 268, 643–648 (2022). https://doi.org/10.1007/s10958-022-06234-8
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DOI: https://doi.org/10.1007/s10958-022-06234-8