Home Mathematics Asymptotics of conditional probabilities of succesful allocation of random number of particles into cells
Article
Licensed
Unlicensed Requires Authentication

Asymptotics of conditional probabilities of succesful allocation of random number of particles into cells

  • Aleksandra I. Afonina , Il’giz R. Kayumov EMAIL logo and Aleksey N. Chuprunov
Published/Copyright: October 11, 2017

Abstract

The article is devoted to the memory of Valentin Fedorovich Kolchin.

Let ζ, ζi (iN) be independent identically distributed nonnegative integer-valued random variables, (ηi1,…, ηiN) be the fillings of cells in the generalized scheme of allocation of ζi particles into N cells, 1 ≤ in, for fixed Zn = (ζ1, …, ζn) these allocation schemes are independent. We consider the conditional probabilities P(An,N | Zn) of the event An,N = {each cell in each of n allocation schemes contains no more than r particles}, where r is some fixed number. The sufficient conditions for the convergence of the sequence P(An,N | Zn) to a nonrandom limit with probability 1 are given. It is shown that the random variable ln P(An,N | Zn) is asymptotically normal. Applications of the obtained results to the noise-proof encoding are discussed.


Originally published in Diskretnaya Matematika (2016) 28,№3, 14–25 (in Russian).


Award Identifier / Grant number: 14-01-00351

Funding statement: This work was financially supported by the Russian Foundation for Basic Research, project No 14-01-00351, and by the RFBR and the Government of the Republic of Tatarstan, the project No 15-41-02433.

References

[1] Kolchin V. F., “One class of limit theorems for condition distributions”, Lit. matem. sb., 8:1 (1968), 53–63 (in Russian).10.15388/LMJ.1968.20181Search in Google Scholar

[2] Kolchin V. F., Random Graphs, Cambridge University Press, 1998, 268 pp.10.1017/CBO9780511721342Search in Google Scholar

[3] Timashev A. N., Asymptotic expansions in probabilistic combinatorics, M.: Nauchn. izd-vo TVP, 2011 (in Russian), 312 pp.Search in Google Scholar

[4] Timashev A. N., Generalized allocation scheme in problems of probabilistic combinatorics, M. : Izd. dom “Akademiya”, 2011 (in Russian), 268 pp.Search in Google Scholar

[5] Timashev A. N., Large deviations in probabilistic combinatorics, M. : Izd. dom “Akademiya”, 2011 (in Russian), 248 pp.Search in Google Scholar

[6] Pavlov Yu. L., Random Forests, VSP, Utrecht, 2000.10.1515/9783110941975Search in Google Scholar

[7] Kolchin A. V., “On limit theorems for the generalised allocation scheme”, Discrete Math. Appl., 13:6 (2003), 627–636.10.1515/156939203322733336Search in Google Scholar

[8] Kolchin A. V., Kolchin V. F., “On transition of distributions of sums of independent identically distributed random variables from one lattice to another in the generalised allocation scheme”, Discrete Math. Appl., 16:6 (2006), 527–540.10.1515/156939206779218023Search in Google Scholar

[9] Kolchin A. V., Kolchin V. F., “On the transition of distributions of sums of random variables related to the generalised allocation scheme from one lattice to another”, Discrete Math. Appl., 17:5 (2007), 455–461.10.1515/dma.2007.036Search in Google Scholar

[10] Novikov F.A., Discrete mathematics for programmers, Piter, 2004 (in Russian).Search in Google Scholar

[11] Avkhadiev F. G., Chuprunov A. N., “The probability of a successful allocation of ball groups by boxes”, Lobachevskii J.Math., 25 (2007), 3–7.Search in Google Scholar

[12] Avkhadiev F.G., Kayumov I.R., Chuprunov A.N., “An investigation of the probability of successful allocation of particles in cells by methods of complex analysis”, Trudy Matem. Tsentra im. N.I. Lobachevskogo, 19 (2003), 6–7 (in Russian).Search in Google Scholar

[13] Kayumov I. R., Chuprunov A. N., “The probability of successful allocation of particles in cells (the general case)”, J. Math. Sci., 209:1 (2015), 88–95.10.1007/s10958-015-2486-2Search in Google Scholar

[14] Chuprunov A.N., Khamdeev B.I., “On the probability of error correction under noise-eliminating coding when the number of errors belongs to a finite set”, Inform. i ee primen., 3:3 “Probabilistic-statistical methods and tasks of informatics and information technologies” (2009), 52–59 (in Russian).Search in Google Scholar

[15] Chuprunov A. N., Khamdeev B. I., “The probability of correcting errors by an antinoise coding method when the number of errors belongs to a random set”, Russian Math. (Iz. VUZ), 54:8 (2010), 67–73.10.3103/S1066369X10080098Search in Google Scholar

[16] Chuprunov A. N., Khamdeev B. I., “On probability of correction of a random number of errors in an error-correcting coding”, Discrete Math. Appl., 20:2 (2010), 179–190.10.1515/dma.2010.010Search in Google Scholar

Received: 2015-1-12
Revised: 2016-7-26
Published Online: 2017-10-11
Published in Print: 2017-10-26

© 2017 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 4.3.2026 from https://www.degruyterbrill.com/document/doi/10.1515/dma-2017-0028/html
Scroll to top button