Reverse plane partitions of skew staircase shapes and $q$-Euler numbers
Byung-Hak Hwang, Jang Soo Kim, Meesue Yoo, Sun-mi Yun

TL;DR
This paper connects $q$-Euler numbers to known permutation statistics, proves two conjectures on reverse plane partitions of skew staircase shapes, and derives related formulas using continued fractions and bijections.
Contribution
It proves two conjectures on RPPs of skew staircase shapes and links $q$-Euler numbers to permutation statistics through bijections and continued fraction techniques.
Findings
Proved two conjectures on RPPs of skew staircase shapes.
Connected $q$-Euler numbers to permutation statistics involving inv and maj.
Derived formulas using continued fractions and bijections.
Abstract
Recently, Naruse discovered a hook length formula for the number of standard Young tableaux of a skew shape. Morales, Pak and Panova found two -analogs of Naruse's hook length formula over semistandard Young tableaux (SSYTs) and reverse plane partitions (RPPs). As an application of their formula, they expressed certain -Euler numbers, which are generating functions for SSYTs and RPPs of a zigzag border strip, in terms of weighted Dyck paths. They found a determinantal formula for the generating function for SSYTs of a skew staircase shape and proposed two conjectures related to RPPs of the same shape. One conjecture is a determinantal formula for the number of \emph{pleasant diagrams} in terms of Schr\"oder paths and the other conjecture is a determinantal formula for the generating function for RPPs of a skew staircase shape in terms of -Euler numbers. In this paper, we show…
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
