2003
DOI: 10.1007/s00026-003-0198-7
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Expected Sums of General Parking Functions

Abstract: A (u 1 , u 2 ,...)-parking function of length n is a sequence (x 1 , x 2 ,..., x n ) whose order statistics (the sequence (x (1) , x (2) ,..., x (n) ) obtained by rearranging the original sequence in non-decreasing order) satisfy x (i) ≤ u i . The Goncarov polynomials g n (x; a 0 , a 1 ,..., a n−1 ) are polynomials biorthogonal to the linear functionals ε(a i )D i , where ε(a) is evaluation at a and D is differentiation. In this paper, we give explicit formulas for the first and second moments of sums of u-par… Show more

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Cited by 18 publications
(13 citation statements)
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“…, which form a natural basis for working with u-parking functions, as well as Abel's multinomial theorem. In particular, our new perspective on parking functions leads to asymptotic moment calculations for multiple coordinates of (a, b)-parking functions that complement the work of Kung and Yan [10], where the explicit formulas for the first and second factorial moments and a general form for the higher factorial moments of sums of (a, b)-parking functions were given.…”
Section: Introductionmentioning
confidence: 86%
See 1 more Smart Citation
“…, which form a natural basis for working with u-parking functions, as well as Abel's multinomial theorem. In particular, our new perspective on parking functions leads to asymptotic moment calculations for multiple coordinates of (a, b)-parking functions that complement the work of Kung and Yan [10], where the explicit formulas for the first and second factorial moments and a general form for the higher factorial moments of sums of (a, b)-parking functions were given.…”
Section: Introductionmentioning
confidence: 86%
“…, and (1,2). Then (2, 7, 2, 9, 10, 1) ∈ MS(6, 8) is a multi-shuffle of the three words (2, 1, 2), (7), and (10,9).…”
Section: U-parking Function Multi-shufflementioning
confidence: 99%
“…Theorem 1. (equivalent to a result in [KY1]): The expectation of the area statistic on parking functions of length n is…”
Section: The Limiting Distributionmentioning
confidence: 99%
“…Theorem 1. (equivalent to a result in [KY1]): The expectation of the area statistic on parking functions of length n is E 1 (n) := − n 2 + 1 2 (n + 1)! (n + 1) n n−1 k=0 (n + 1) k k!…”
Section: Truly Exact Expressions For the Factorial (And Hence Centralmentioning
confidence: 99%
“…Knowledge on PF(m, n) with specified parking preferences of l ≤ m cars therefore adds to the understanding of u-parking functions as well. In particular, our enumeration of parking completions provides a different perspective on the volume formula for Pitman-Stanley polytopes [15], and our mixed moment calculations for multiple coordinates of parking functions extend that of Kung and Yan [13], where the explicit formulas for the first and second factorial moments and a general form for the higher factorial moments of sums of u-parking functions were given.…”
Section: Introductionmentioning
confidence: 99%