Network Parameterizations for the Grassmannian
Kelli Talaska, Lauren Williams

TL;DR
This paper provides an explicit network-based parameterization of Deodhar components in the Grassmannian, linking combinatorial tableaux with algebraic and geometric structures, and enabling easier analysis of Plücker coordinates.
Contribution
It introduces a new explicit network construction for parameterizing Deodhar components in the Grassmannian, connecting combinatorics, algebra, and geometry.
Findings
Constructed weighted networks from Go-diagrams for each Deodhar component.
Provided a method to determine vanishing and non-vanishing Plücker coordinates.
Characterized Deodhar components using Plücker coordinates.
Abstract
Deodhar introduced his decomposition of partial flag varieties as a tool for understanding Kazhdan-Lusztig polynomials. The Deodhar decomposition of the Grassmannian is also useful in the context of soliton solutions to the KP equation, as shown by Kodama and the second author. Deodhar components S_D of the Grassmannian are in bijection with certain tableaux D called Go-diagrams, and each component is isomorphic to (K*)^a \times (K)^b for some non-negative integers a and b. Our main result is an explicit parameterization of each Deodhar component in the Grassmannian in terms of networks. More specifically, from a Go-diagram D we construct a weighted network N_D and its weight matrix W_D, whose entries enumerate directed paths in N_D. By letting the weights in the network vary over K or K* as appropriate, one gets a parameterization of the Deodhar component S_D. One application of such…
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.
