An Algorithm to compute the Kronecker cone and other moment cones
Micha\"el Bulois (ICJ, AGL), Roland Denis (INSMI-CNRS, CNRS, ICJ), Nicolas Ressayre (ICJ, AGL)

TL;DR
This paper introduces a new algorithm and implementation for computing the inequalities defining moment cones of complex reductive group representations, enabling calculations at larger scales than previously possible.
Contribution
The authors develop a novel algorithm that overcomes previous limitations, allowing efficient computation of moment cone inequalities for complex representations, including the Kronecker and fermionic cones.
Findings
Computed 5,333 inequalities for the Kronecker cone in 2 hours.
Generated 64,792 inequalities for larger cases in 188 hours.
Overcame previous computational bottlenecks in algebraic geometry and combinatorics.
Abstract
We describe a new algorithm that computes the minimal list of inequalities for the moment cone of any representation of a complex reductive group, with implementation details for two fundamental cases: the Kronecker cone (governing the asymptotic support of Kronecker coefficients) and the fermionic cone. These correspond to the actions of on and on , respectively. An implementation for these two cases in Python-Sage is available at https://ea-icj.github.io/. Our work overcomes the fundamental limitations that previously restricted such computations to cases like . The state-of-the-art method by Vergne-Walter faced two major…
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Taxonomy
TopicsMatrix Theory and Algorithms · Polynomial and algebraic computation · Algorithms and Data Compression
