Combinatorial formulas for symmetric Macdonald polynomials by superizations
Emma Yu Jin, Xiaowei Lin

TL;DR
This paper introduces new, more concise combinatorial formulas for symmetric Macdonald polynomials using novel statistics and superization techniques, unifying and extending previous results in the field.
Contribution
It provides the fewest-term combinatorial formulas for Macdonald polynomials and recovers several existing formulas through superization methods.
Findings
New formulas with fewer terms for symmetric Macdonald polynomials
Recovery of three existing formulas via superization
Introduction of a new statistic on super fillings
Abstract
In this paper, we derive new combinatorial formulas for symmetric Macdonald polynomials and integral Macdonald polynomials , in terms of several new statistics and the major index for a partition . Compared to previous formulas, these new ones contain the fewest terms. Moreover, three existing formulas for symmetric Macdonald polynomials established by Corteel--Mandelshtam--Williams (2022), Corteel--Haglund--Mandelshtam--Mason--Williams (2022) and Mandelshtam (2025) are recovered. Our proof relies on a new statistic on super fillings, employing the superization formulas of Haglund--Haimain--Loehr (2005) and Ayyer--Mandelshtam--Martin (2023), together with our recent approach to modified Macdonald polynomials.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Combinatorial Mathematics · Advanced Mathematical Identities · Algebraic structures and combinatorial models
