On the Outcome Map of MVP Parking Functions: Permutations Avoiding 321 and 3412, and Motzkin Paths
Pamela E. Harris, Brian M. Kamau, J. Carlos Mart\'inez Mori, and Roger, Tian

TL;DR
This paper introduces MVP parking functions, explores their combinatorial properties, and establishes connections with pattern-avoiding permutations and Motzkin paths, providing formulas and bounds for their enumeration.
Contribution
It characterizes MVP parking functions, links parking outcomes to pattern-avoiding permutations, and derives explicit formulas for specific outcome classes, including Motzkin paths.
Findings
Number of MVP parking functions with outcome avoiding 321 and 3412 is tightly bounded.
Motzkin numbers count MVP parking functions with reverse order outcomes.
Enumeration formulas are provided for special permutation outcome cases.
Abstract
We introduce a new parking procedure called MVP parking in which cars sequentially enter a one-way street with a preferred parking spot from the parking spots on the street. If their preferred spot is empty, they park there. Otherwise, they park there and the car parked in that spot is bumped to the next unoccupied spot on the street. If all cars can park under this parking procedure, we say the list of preferences of the cars is an MVP parking function of length . We show that the set of (classical) parking functions is exactly the set of MVP parking functions although the parking outcome (order in which the cars park) is different under each parking process. Motivating the question: Given a permutation describing the outcome of the MPV parking process, what is the number of MVP parking functions resulting in that given outcome? Our main result establishes a bound for…
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · graph theory and CDMA systems · Advanced Graph Theory Research
