The equivariant inverse Kazhdan-Lusztig polynomials of uniform matroids
Alice L.L. Gao, Matthew H.Y. Xie, Arthur L.B. Yang

TL;DR
This paper explores the equivariant inverse Kazhdan-Lusztig polynomials of uniform matroids, providing explicit formulas and demonstrating their utility in calculating equivariant Kazhdan-Lusztig polynomials, with applications to known formulas.
Contribution
It introduces the equivariant inverse Kazhdan-Lusztig polynomial for matroids and derives explicit formulas for Boolean and uniform matroids, offering new proofs and formulas for related polynomials.
Findings
Explicit formulas for equivariant inverse Kazhdan-Lusztig polynomials of uniform matroids
New proof of existing formulas for equivariant Kazhdan-Lusztig polynomials
A novel combinatorial formula for equivariant Kazhdan-Lusztig polynomials
Abstract
Motivated by the concepts of the inverse Kazhdan-Lusztig polynomial and the equivariant Kazhdan-Lusztig polynomial, Proudfoot defined the equivariant inverse Kazhdan-Lusztig polynomial for a matroid. In this paper, we show that the equivariant inverse Kazhdan-Lusztig polynomial of a matroid is very useful for determining its equivariant Kazhdan-Lusztig polynomials, and we determine the equivariant inverse Kazhdan-Lusztig polynomials for Boolean matroids and uniform matroids. As an application, we give a new proof of Gedeon, Proudfoot and Young's formula for the equivariant Kazhdan-Lusztig polynomials of uniform matroids. Inspired by Lee, Nasr and Radcliffe's combinatorial interpretation for the ordinary Kazhdan-Lusztig polynomials of uniform matroids, we further present a new formula for the corresponding equivariant Kazhdan-Lusztig 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 · Molecular spectroscopy and chirality · Random Matrices and Applications
