Spectral networks
Davide Gaiotto, Gregory W. Moore, Andrew Neitzke
TL;DR
Spectral networks provide a geometric framework to compute 4d BPS spectra and 2d–4d BPS data in class S theories via wall-like networks on a punctured curve C. They yield a nonabelianization map that translates flat GL(1) data on the Seiberg–Witten cover Σ into flat GL(K) data on C, endowing moduli spaces of flat connections with cluster-coordinate-like charts. By analyzing wall-crossing (K-walls) and S-wall dynamics, the authors derive systematic rules to extract 4d BPS degeneracies Ω(γ) and 2d–4d enhancements ω(γ,ā), and demonstrate the consistency of these structures with known wall-crossing formulas. The formalism unifies BPS counting with coordinate systems on flat-connection moduli spaces, offering a bridge to higher Teichmüller theory through canonical nonabelianization and suggesting a cluster-algebraic structure underlying BPS data. The work also extends the spectral-network framework beyond physically realized networks to a general mathematical setting, enabling generalized path lifting and moduli-space coordinates with applications to Hitchin systems and WKB analysis.
Abstract
We introduce new geometric objects called spectral networks. Spectral networks are networks of trajectories on Riemann surfaces obeying certain local rules. Spectral networks arise naturally in four-dimensional N=2 theories coupled to surface defects, particularly the theories of class S. In these theories spectral networks provide a useful tool for the computation of BPS degeneracies: the network directly determines the degeneracies of solitons living on the surface defect, which in turn determine the degeneracies for particles living in the 4d bulk. Spectral networks also lead to a new map between flat GL(K,C) connections on a two-dimensional surface C and flat abelian connections on an appropriate branched cover Sigma of C. This construction produces natural coordinate systems on moduli spaces of flat GL(K,C) connections on C, which we conjecture are cluster coordinate systems.
