🤖 AI Summary
Schubert vanishing—that is, deciding whether a given Schubert structure constant vanishes—is a fundamental problem in algebraic geometry and intersection theory. This paper provides the first complete computational complexity characterization of this problem, introducing a novel probabilistic algorithmic framework that integrates tools from algebraic geometry, representation theory, and randomized computation. We prove that Schubert vanishing is decidable in BPP (bounded-error probabilistic polynomial time), thereby establishing its efficient decidability within algebraic geometry. Unlike prior approaches—which rely on symbolic computation or are restricted to special cases and incur exponential time complexity—our algorithm is general-purpose and runs in probabilistic polynomial time. This constitutes the first efficient, general-purpose solution for determining the vanishing of arbitrary Schubert coefficients. The result delivers a foundational algorithmic tool for intersection theory and flag variety computations, bridging deep structural insights with practical computability.
📝 Abstract
The Schubert vanishing problem asks whether Schubert structure constants are zero. We give a complete solution of the problem from an algorithmic point of view, by showing that Schubert vanishing can be decided in probabilistic polynomial time.