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On Distribution of the Number of Peaks and the Euler Numbers of Permutations

Author

Listed:
  • James C. Fu

    (University of Manitoba)

  • Wan-Chen Lee

    (Carleton University)

  • Hsing-Ming Chang

    (National Cheng Kung University)

Abstract

Using the language of runs and patterns, a peak in a sequence of integers can be interpreted as observing a fall (or descent) immediately after a rise (or ascent). In this paper, we obtain the exact distribution of the number of peaks in a permutation by using the nonhomogeneous finite Markov chain imbedding technique and an insertion procedure. As a byproduct, we also obtain the Euler numbers, which are a sequence of the number of alternating permutations. The method is extended to obtaining the joint distribution of the number of peaks and the number of falls. Several numerical examples are given to illustrate our theoretical results.

Suggested Citation

  • James C. Fu & Wan-Chen Lee & Hsing-Ming Chang, 2023. "On Distribution of the Number of Peaks and the Euler Numbers of Permutations," Methodology and Computing in Applied Probability, Springer, vol. 25(2), pages 1-13, June.
  • Handle: RePEc:spr:metcap:v:25:y:2023:i:2:d:10.1007_s11009-023-09987-0
    DOI: 10.1007/s11009-023-09987-0
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    References listed on IDEAS

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    1. Harris, Bernard & Park, C. J., 1994. "A generalization of the Eulerian numbers with a probabilistic application," Statistics & Probability Letters, Elsevier, vol. 20(1), pages 37-47, May.
    2. Fu, James C. & Lou, W. Y. Wendy & Wang, Yueh-Jir, 1999. "On the exact distributions of Eulerian and Simon Newcomb numbers associated with random permutations," Statistics & Probability Letters, Elsevier, vol. 42(2), pages 115-125, April.
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    Cited by:

    1. Wang, Xiaoyue & Chen, Xi & Zhao, Xian & Ning, Ru, 2024. "Reliability analysis of self-healing systems equipped with multi-component protective devices operating in a shock environment," Reliability Engineering and System Safety, Elsevier, vol. 244(C).

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