English

Algorithms for parabolic inductions and Jacquet modules in $\mathrm{GL}_n$

Representation Theory 2026-01-05 v2 Number Theory

Abstract

In this article, we present algorithms for computing parabolic inductions and Jacquet modules for the general linear group GG over a non-Archimedean local field. Given the Zelevinsky data or Langlands data of an irreducible smooth representation π\pi of GG and an essentially square-integrable representation σ\sigma, we explicitly determine the Jacquet module of π\pi with respect to σ\sigma and the socle of the normalized parabolic induction π×σ\pi \times \sigma. Our result builds on and extends some previous work of M\oe glin-Waldspurger, Jantzen, M\'inguez, and Lapid-M\'inguez, and also uses other methods such as sequences of derivatives and an exotic duality. As an application, we give a simple algorithm for computing the highest derivative multisegment and an algorithm for computing the Langlands parameter of the highest Bernstein-Zelevinsky derivatives.

Keywords

Cite

@article{arxiv.2503.00886,
  title  = {Algorithms for parabolic inductions and Jacquet modules in $\mathrm{GL}_n$},
  author = {Kei Yuen Chan and Basudev Pattanayak},
  journal= {arXiv preprint arXiv:2503.00886},
  year   = {2026}
}

Comments

v1: 46pages, v2: minor editions

R2 v1 2026-06-28T22:03:38.596Z