Discretized Normal Approximation for the Number of Descents

This paper explores the probability approximation of the number of descents in a random permutation. It is known that the distribution of the number of descents can be approximated by a normal distribution under Kolmogorov distance. Subsequently, an explicit constant is provided in the bound of 13.42. The objective is to prove a similar result but using a stronger distance, namely, the total variation distance. The Stein’s method and the exchangeable pair transformation has been used to give a bound for discretized normal approximation for the distribution of number of descents under the total variation distance. The result obtained gave an improved constant of 10.71.

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Publication Details

Journal
Malaysian Journal of Mathematical Sciences
Published
2024-12-24
DOI
https://doi.org/10.47836/mjms.18.4.01
Citations
1
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.71
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article

Discretized Normal Approximation for the Number of Descents

Tatpon Siripraparat, Kritsana Neammanee
1 citations
Malaysian Journal of Mathematical Sciences
Random Matrices and Applications
0.71
article

Discretized Normal Approximation for the Number of Descents

Tatpon Siripraparat, Kritsana Neammanee
article en
1 citations

Abstract

This paper explores the probability approximation of the number of descents in a random permutation. It is known that the distribution of the number of descents can be approximated by a normal distribution under Kolmogorov distance. Subsequently, an explicit constant is provided in the bound of 13.42. The objective is to prove a similar result but using a stronger distance, namely, the total variation distance. The Stein’s method and the exchangeable pair transformation has been used to give a bound for discretized normal approximation for the distribution of number of descents under the total variation distance. The result obtained gave an improved constant of 10.71.

Malaysian Journal of Mathematical SciencesVol. 18(4)
Chulalongkorn University (TH), King Mongkut's University of Technology North Bangkok (TH)
Openalex Percentile: Top 23%
Random Matrices and Applications
0.71
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