Bootstrapping the half-BPS line defect
Pedro Liendo, Carlo Meneghelli, Vladimir Mitev
TL;DR
This work develops a defect bootstrap program for half-BPS line defects in 4d ${\mathcal N}=4$ theories, focusing on a 1d CFT with ${\rm OSP}(4^*|4)$ symmetry on the defect. By combining full and mixed correlators of displacement multiplets $\mathcal{D}_1$, $\mathcal{D}_2$ and their OPE data, the authors derive comprehensive crossing equations and implement semidefinite programming to bound conformal dimensions and OPE coefficients. A striking mixed-system island emerges, consistent with Wilson lines in planar ${\mathcal N}=4$ SYM at strong coupling, and analytic perturbation theory around the strong-coupling point reproduces key features of the numerics, including a sparsest spectrum and controlled corrections. The results illuminate the defect-bulk interplay, offer cross-checks with localization data, and point to future directions in coupling to the 4d bulk and exploring other supersymmetric defects. Overall, the paper provides a concrete, symmetry-driven bootstrap framework for line defects in highly supersymmetric gauge theories and identifies a potentially unique crossing-solution consistent with known strong-coupling behavior.
Abstract
We use modern bootstrap techniques to study half-BPS line defects in 4d N=4 superconformal theories. Specifically, we consider the 1d CFT with OSP(4*|4) superconformal symmetry living on such a defect. Our analysis is general and based only on symmetries, it includes however important examples like Wilson and 't Hooft lines in N=4 super Yang-Mills. We present several numerical bounds on OPE coefficients and conformal dimensions. Of particular interest is a numerical island obtained from a mixed correlator bootstrap that seems to imply a unique solution to crossing. The island is obtained if some assumptions about the spectrum are made, and is consistent with Wilson lines in planar N=4 super Yang-Mills at strong coupling. We further analyze the vicinity of the strong-coupling point by calculating perturbative corrections using analytic methods. This perturbative solution has the sparsest spectrum and is expected to saturate the numerical bounds, explaining some of the features of our numerical results.
