License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.AofA.2022.18
URN: urn:nbn:de:0030-drops-161041
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16104/
Yin, Mei
Parking Functions, Multi-Shuffle, and Asymptotic Phenomena
Abstract
Given a positive integer-valued vector u = (u_1, … , u_m) with u_1 < ⋯ < u_m, a u-parking function of length m is a sequence π = (π_1, … , π_m) of positive integers whose non-decreasing rearrangement (λ_1, … , λ_m) satisfies λ_i ≤ u_i for all 1 ≤ i ≤ m. We introduce a combinatorial construction termed a parking function multi-shuffle to generic u-parking functions and obtain an explicit characterization of multiple parking coordinates. As an application, we derive various asymptotic probabilistic properties of a uniform u-parking function of length m when u_i = cm+ib. The asymptotic scenario in the generic situation c > 0 is in sharp contrast with that of the special situation c = 0.
BibTeX - Entry
@InProceedings{yin:LIPIcs.AofA.2022.18,
author = {Yin, Mei},
title = {{Parking Functions, Multi-Shuffle, and Asymptotic Phenomena}},
booktitle = {33rd International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2022)},
pages = {18:1--18:12},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-230-3},
ISSN = {1868-8969},
year = {2022},
volume = {225},
editor = {Ward, Mark Daniel},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2022/16104},
URN = {urn:nbn:de:0030-drops-161041},
doi = {10.4230/LIPIcs.AofA.2022.18},
annote = {Keywords: Parking function, Multi-shuffle, Asymptotic expansion, Abel’s multinomial theorem}
}
Keywords: |
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Parking function, Multi-shuffle, Asymptotic expansion, Abel’s multinomial theorem |
Collection: |
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33rd International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2022) |
Issue Date: |
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2022 |
Date of publication: |
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08.06.2022 |