Distributions in CFT I. Cross-Ratio Space
Petr Kravchuk, Jiaxin Qiao, Slava Rychkov
TL;DR
This paper develops a distributional framework for the conformal block expansion in conformal field theory, proving that four-point functions and conformal blocks converge on the boundary of their Euclidean region as tempered distributions. Using Vladimirov's theorem, the authors show boundary values exist and that the expansion converges term-by-term against suitable test functions, enabling dispersion relations and a functional-analytic view of crossing. They unify the 1D and higher-dimensional scalar cases, derive explicit power-law bounds for correlators, and extend the analytic-functional bootstrap program to boundary functionals. While the current work is grounded in Euclidean bootstrap axioms, it lays groundwork toward Lorentzian Wightman properties and a uniform understanding of crossing via distribution theory.
Abstract
We show that the four-point functions in conformal field theory are defined as distributions on the boundary of the region of convergence of the conformal block expansion. The conformal block expansion converges in the sense of distributions on this boundary, i.e. it can be integrated term by term against appropriate test functions. This can be interpreted as a giving a new class of functionals that satisfy the swapping property when applied to the crossing equation, and we comment on the relation of our construction to other types of functionals. Our language is useful in all considerations involving the boundary of the region of convergence, e.g. for deriving the dispersion relations. We establish our results by elementary methods, relying only on crossing symmetry and the standard convergence properties of the conformal block expansion. This is the first in a series of papers on distributional properties of correlation functions in conformal field theory.
