New combinatorial formulae for nested Bethe vectors II
M. Kosmakov, V. Tarasov
TL;DR
The paper develops new combinatorial formulae for vector-valued weight functions, also known as off-shell nested Bethe vectors, for evaluation modules over the Yangian $Y(\mathfrak{gl}_n)$, generalizing previous work at $n=4$. It introduces a splitting framework that decomposes weight functions along a chosen $m$-split into contributions from $Y(\mathfrak{gl}_m)$ and $Y(\mathfrak{gl}_{n-m})$, interconnected by $R$-matrices and a rich network of symmetric weight functions. The main contribution is an explicit formula (Theorem mainth) expressing $\mathbb{B}_{\boldsymbol{\xi}}(\boldsymbol{t})v$ as a structured sum over partitions and combinatorial data, built from lower-rank weight functions and auxiliary functions, with reductions to known results in boundary cases. This provides concrete, higher-rank tools for constructing weight functions, with potential applications in integrable models, hypergeometric $q$KZ solutions, and geometric representation theory.
Abstract
We give new combinatorial formulae for vector-valued weight functions (off-shell nested Bethe vectors) for the evaluation modules over the Yangian Y(gl_n). This paper extends the result for the Yangian Y(gl_4) established earlier in arXiv:2312.00980.
