Asymptotic analysis of the statistical estimators of Shannon entropy of binary s-tuples

Authors

  • Uladzimir Yu. Palukha Research Institute for Applied Problems of Mathematics and Informatics, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus , Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus
  • Yuriy S. Kharin Research Institute for Applied Problems of Mathematics and Informatics, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus , Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

Keywords:

энтропия Шеннона, двоичная последовательность, статистическая оценка, ковариация, коэффициент корреляции
Supporting Agencies
The authors are grateful to M. S. Tegaka for assistance in performing computer experiments.

Abstract

The asymptotic probability distribution of the statistical estimate of Shannon entropy of s-tuples H(s) and the asymptotic joint probability distribution of the statistical estimates of Shannon entropy of s- and (s+1)-tuples H(s), H(s+1) for a uniformly distributed random binary sequence with increasing length are found. It is proved that as the value of s increase, the correlation coefficient of the statistical estimates of Shannon entropy of s- and (s+1)-tuples H(s), H(s+1) tends to zero. The theoretical results are illustrated by computer experiments.

Author Biographies

  • Uladzimir Yu. Palukha, Research Institute for Applied Problems of Mathematics and Informatics, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

    PhD (physics and mathematics), docent; head of the research laboratory of mathematical methods of information security, scientific secretary, Research Institute for Applied Problems of Mathematics and Informatics, Belarusian State University, and associate professor at the department of mathematical modelling and data analysis, faculty of applied mathematics and computer science, Belarusian State University

  • Yuriy S. Kharin, Research Institute for Applied Problems of Mathematics and Informatics, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

    doctor of science (physics and mathematics), academician of the National Academy of Sciences of Belarus, full professor; director of the Research Institute for Applied Problems of Mathematics and Informatics, Belarusian State University, and professor at the department of mathematical modelling and data analysis, faculty of applied mathematics and computer science, Belarusian State University

References

  1. Palukha UYu, Kharin YuS, Siarheeu AI, Arlou AA. On statistical testing of random and pseudorandom sequences based on entropy functionals. In: Kharin YuS, editor. Computer data analysis and modeling: stochastics and data science. Proceedings of the 13th International conference; 2022 September 6–10; Minsk, Belarus. Minsk: Belarusian State University; 2022. p. 148–162. EDN: QBMBVS.

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Published

2025-10-13

Issue

Section

Probability Theory and Mathematical Statistics

How to Cite

[1]
Palukha, U.Y. and Kharin, Y.S. 2025. Asymptotic analysis of the statistical estimators of Shannon entropy of binary s-tuples. Journal of the Belarusian State University. Mathematics and Informatics. 2 (Oct. 2025), 62–74. DOI:https://doi.org/10.33581/2520-6508-2025-2-62-74.