Single-SEM Schubert Polynomials
Dora Woodruff
TL;DR
The paper addresses when Schubert polynomials simplify to a single standard elementary monomial or a single complete homogeneous monomial by translating these simplifications into pattern-avoidance criteria for the permutation $w$. It develops a framework based on Lehmer codes, pipe dreams, and divided-difference operators, proving that $S_w$ is a single SEM iff $w$ avoids $\{312,1432\}$ and $S_w$ is a single CHM iff $w$ avoids $\{321,231\}$, with the proofs leveraging bottom pipe dreams, ladder moves, and Monk's rule. Counting results show the number of such $w\in S_n$ equals $F_{2n}$ for SEMs and $2^{n-1}$ for CHMs (and $C_n$ for single monomials), linking these algebraic objects to classical combinatorial sequences. The work provides computationally advantageous cases for quantum Schubert polynomials and reveals structural insights via pipe-dream decompositions and pattern-avoidance.
Abstract
We give a pattern-avoidance characterization of $w \in S_n$ such that the Schubert polynomial $\mathfrak{S}_w$ is a standard elementary monomial. This characterization tells us which quantum Schubert polynomials are easiest to compute. We solve a similar problem for complete homogeneous monomials.
