paper

Trees, parking functions, and standard monomials of skeleton ideals

arXiv:1806.04289

Abstract

Parking functions are a widely studied class of combinatorial objects, with connections to several branches of mathematics. On the algebraic side, parking functions can be identified with the standard monomials of , a certain monomial ideal in the polynomial ring where a set of generators are indexed by the nonempty subsets of . Motivated by constructions from the theory of chip-firing on graphs we study generalizations of parking functions determined by , a subideal of obtained by allowing only generators corresponding to subsets of of size at most . For each the set of standard monomials of , denoted , contains the usual parking functions and has interesting combinatorial properties in its own right. For general we show that elements of can be recovered as certain vector-parking functions, which in turn leads to a formula for their count via results of Yan. The symmetric group naturally acts on the set and we also obtain a formula for the number of orbits under this action. For the case of we study combinatorial interpretations of and relate them to properties of uprooted trees in terms of root degree and surface inversions. As a corollary we obtain a combinatorial identity for involving Catalan numbers, reminiscent of a result of Benjamin and Juhnke. For the case of we observe that the number of elements is given by the determinant of the reduced `signless' Laplacian, which provides a weighted count for in terms generalized spanning trees known as `spanning TU-subgraphs'. Our constructions naturally generalize to arbitrary graphs and lead to a number of open questions.

19 pages, 3 figures; results originally appeared as part of arXiv:1708.04712, here expanded with focus on combinatorial aspects; v2: Major revision with new title and additional author, Conjecture 3.1 is now Theorem 3.10, many other new results; v3: corrections and minor revisions, incorporating comments from referees; v4: fixed typos, corrected metadata

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