Computations in equivariant Gromov-Witten theory of GKM spaces
Daniel Holmes, Giosuè Muratore
TL;DR
The paper refines equivariant Gromov–Witten theory on GKM spaces by proving that localization data and GW invariants depend only on the GKM graph, not on any compatible connection, and by providing a connection-free reformulation. It introduces GKMtools.jl, a Julia-based tool that computes equivariant GW invariants and quantum products directly from GKM graphs, enabling explicit computations across diverse geometries. The authors apply this framework to Calabi–Yau local models, twisted flag varieties, and realizability problems, deriving new connections to Donaldson–Thomas theory, and exploring enumerative questions such as curves in hyperplanes and quantum Schubert calculus with infinitely many $q$-terms. Collectively, the work demonstrates both the theoretical flexibility of GKM methods and the practical power of computational tools for exploring novel phenomena in symplectic and algebraic geometry, with implications for enumerative geometry and mathematical physics.
Abstract
We study equivariant Gromov-Witten invariants and quantum cohomology in GKM theory. Building on the localization formula, we prove that the resulting expression is independent of the choice of compatible connection, and provide an equivalent formulation without auxiliary choices. Motivated by this theoretical refinement, we develop a software package, $\mathtt{GKMtools . jl}$, that implements the computation of equivariant GW invariants and quantum products directly from the GKM graph. We apply our framework to several geometric settings: Calabi-Yau rank two vector bundles on the projective line, where we obtain a new proof for a recent connection to Donaldson-Thomas theory of Kronecker quivers; twisted flag manifolds, which give symplectic but non-algebraic examples of GKM spaces; realizability questions for abstract GKM graphs; classical enumerative problems involving curves in hyperplanes; and quantum Schubert calculus for smooth Schubert varieties. These results demonstrate both the theoretical flexibility of GKM methods and the effectiveness of computational tools in exploring new phenomena.
