Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 80 tok/s
Gemini 2.5 Pro 60 tok/s Pro
GPT-5 Medium 23 tok/s Pro
GPT-5 High 26 tok/s Pro
GPT-4o 87 tok/s Pro
Kimi K2 173 tok/s Pro
GPT OSS 120B 433 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Hybrid pipe dreams for the lower-upper scheme (2509.01857v1)

Published 2 Sep 2025 in math.CO and math.AG

Abstract: In [KU23] were introduced hybrid pipe dreams interpolating between classic and bumpless pipe dreams, each hybridization giving a different formula for double Schubert polynomials. A bijective proof was given (following [GH23]) of the independence of hybridization, but only for nonequivariant Schubert polynomials. In this paper we further generalize to hybrid generic pipe dreams, replacing the bijective proof of hybridization-independence with a Yang-Baxter-based proof that allows one to maintain equivariance. An additional YB-based proof establishes a divided-difference type recurrence for these generic pipe dream polynomials. These polynomials compute something richer than double Schubert polynomials, namely the equivariant classes of the lower-upper varieties introduced in [Knu05]. We give two proofs of this: the easier being a proof that the recurrence relation holds on those classes, the more difficult being a degeneration of the lower-upper variety to a union of quadratic complete intersections (plus, possibly, some embedded components) whose individual classes match those of the generic pipe dreams. One new feature of the generic situation is a definition of the "flux" through an edge of the matrix; the notion of pipe dream itself can then be derived from the equalities among the fluxes.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 post and received 0 likes.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube