The Markov property for $\varphi^4_3$ on the cylinder
Nikolay Barashkov, Trishen S. Gunaratnam
TL;DR
This work advances Euclidean quantum field theory by proving Segal-like gluing and a Markov property for the φ^4_3 model on cylinders and tori, even when the boundary law is singular relative to the boundary GFF. The authors develop a novel variational framework (Boué-Dupuis) combined with paracontrolled calculus to construct φ^4_3 models with rough boundary conditions, identify and renormalize boundary and bulk divergences, and establish a limiting boundary measure ν^0 governing gluing. They then build a φ^4_3 Hamiltonian on the 2D torus, proving discreteness of spectrum, simple ground state, and positivity, with eigenfunctions lying in Orlicz spaces. The results demonstrate Segal-type gluing for non-Gaussian boundary data, offering a probabilistic path to spectral properties and potentially extending reconstruction theorems to the full space. Together, these contributions provide a rigorous bridge between probabilistic boundary theory and quantum field theoretical structures in a high-dimensional, singular setting.
Abstract
We prove that the $\varphi^4_3$ model satisfies a version of Segal's axioms in the special case of three-dimensional tori and cylinders. As a consequence, we give the first proof that this model satisfies a Markov property and we characterize its boundary law up to absolutely continuous perturbations. In addition, we use Segal's axioms to give an alternative construction of the $\varphi^4_3$ Hamiltonian on two-dimensional tori as compared with Glimm (Comm. Math. Phys., 1968). We exploit this probabilistic approach to prove novel fundamental spectral properties of the Hamiltonian, such as discrete spectrum and a Perron-Froebenius type result on its ground state. The key technical contributions of this article are the development of tools to analyze $\varphi^4_3$ models with rough boundary conditions. We heavily use the variational approach to $\varphi^4_3$ models introduced in Barashkov and Gubinelli (Duke, 2020) that is based on the Boué-Dupuis formula and dual to Polchinski's continuous renormalization group.
