2019
DOI: 10.1007/s00283-018-9848-9
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An Experimental Mathematics Approach to the Area Statistic of Parking Functions

Abstract: We illustrate the experimental, empirical, approach to mathematics (that contrary to popular belief, is often rigorous), by using parking functions and their 'area' statistic, as a case study. Our methods are purely finitistic and elementary, taking full advantage, of course, of our beloved silicon servants.Accompanying Maple package and input and output files

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Cited by 2 publications
(1 citation statement)
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“…More recently, Diaconis and Hicks [8] studied the distribution of coordinates, descent pattern, area, and other statistics of random parking functions. Yao and Zeilberger [32] used an experimental mathematics approach combined with some probability to study the area statistic. In [20], Kenyon and Yin explored links between combinatorial and probabilistic aspects of parking functions.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Diaconis and Hicks [8] studied the distribution of coordinates, descent pattern, area, and other statistics of random parking functions. Yao and Zeilberger [32] used an experimental mathematics approach combined with some probability to study the area statistic. In [20], Kenyon and Yin explored links between combinatorial and probabilistic aspects of parking functions.…”
Section: Introductionmentioning
confidence: 99%