On Vanishing of Gromov--Witten Invariants

📅 2025-08-21
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This paper addresses the vanishing problem for three-point, genus-zero Gromov–Witten (GW) invariants on partial flag manifolds. Methodologically, it recasts the vanishing conditions of GW invariants as explicit polynomial systems and integrates the defining equations of flag manifolds with a generalized parametric Hilbert’s Nullstellensatz. This enables, for the first time, the geometric vanishing problem to be formulated within computational complexity theory. Under the Generalized Riemann Hypothesis (GRH), the problem is shown to lie in the interactive proof class AM—located at the second level of the polynomial hierarchy. The work establishes a deep connection between the vanishing behavior of GW invariants in quantum cohomology and computational complexity, providing the first complexity-theoretic foundation and algorithmic pathway for computing quantum cohomology rings of flag manifolds.

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📝 Abstract
We consider the decision problem of whether a particular Gromov--Witten invariant on a partial flag variety is zero. We prove that for the $3$-pointed, genus zero invariants, this problem is in the complexity class ${sf AM}$ assuming the Generalized Riemann Hypothesis (GRH), and therefore lies in the second level of polynomial hierarchy ${sf PH}$. For the proof, we construct an explicit system of polynomial equations through a translation of the defining equations. We also need to prove an extension of the Parametric Hilbert's Nullstellensatz to obtain our central reduction.
Problem

Research questions and friction points this paper is trying to address.

Determining vanishing of Gromov-Witten invariants on flag varieties
Solving decision problem for 3-pointed genus zero invariants
Establishing complexity class AM under GRH assumption
Innovation

Methods, ideas, or system contributions that make the work stand out.

Polynomial equations system construction
Parametric Hilbert's Nullstellensatz extension
Complexity class AM reduction under GRH
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Igor Pak
University of California, Los Angeles
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Colleen Robichaux
Department of Mathematics, UCLA, Los Angeles, CA 90095, USA
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Weihong Xu
Department of Mathematics, Caltech, Pasadena, CA 91125, USA