On the non-vanishing condition for A𝔮(λ) of U(p,q) in the mediocre range

The modules [Formula: see text] of [Formula: see text] can be parameterized by their annihilators and asymptotic supports, both of which can be identified using Young tableaux. Trapa developed an algorithm for determining the tableaux of the modules [Formula: see text] in the mediocre range, along with an equivalent condition to determine non-vanishing. The condition involves a combinatorial concept called the overlap, which is not straightforward to compute. In this paper, we establish a formula for the overlap and simplify the condition for ease of use. We then apply it to [Formula: see text]-types and the Dirac index of [Formula: see text].

Authors

Institutions

Publication Details

Journal
International Journal of Mathematics
Published
2025-08-30
DOI
https://doi.org/10.1142/s0129167x2550051x
Primary Topic
Advanced Algebra and Geometry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the non-vanishing condition for A𝔮(λ) of U(p,q) in the mediocre range

Du Chengyu
International Journal of Mathematics
Advanced Algebra and Geometry
article

On the non-vanishing condition for A𝔮(λ) of U(p,q) in the mediocre range

Du Chengyu
article en

Abstract

The modules [Formula: see text] of [Formula: see text] can be parameterized by their annihilators and asymptotic supports, both of which can be identified using Young tableaux. Trapa developed an algorithm for determining the tableaux of the modules [Formula: see text] in the mediocre range, along with an equivalent condition to determine non-vanishing. The condition involves a combinatorial concept called the overlap, which is not straightforward to compute. In this paper, we establish a formula for the overlap and simplify the condition for ease of use. We then apply it to [Formula: see text]-types and the Dirac index of [Formula: see text].

International Journal of MathematicsVol. 36(13)
Soochow University (CN)
Reduced inequalities
Openalex Percentile: Top 71%
Advanced Algebra and Geometry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.