A semigroup approach to the reconstruction theorem and the multilevel Schauder estimate
Masato Hoshino
TL;DR
This work develops a semigroup-based framework to prove the reconstruction theorem and the multilevel Schauder estimate within regularity structures. By defining Besov spaces associated with a G-type semigroup and introducing regularity-integrability structures, it yields short, self-contained proofs that rely only on semigroup properties and kernel upper bounds, while accommodating inhomogeneous kernels. The paper then establishes existence, uniqueness, and stability for reconstructions, and lifts integral operators via abstract integration to obtain multilevel Schauder estimates with explicit bounds and Lipschitz continuity across models. These results are applicable to quasilinear SPDEs and the inductive convergence of random models, offering a flexible analytic toolbox for problems combining regularity and integrability scales. The introduced framework broadens the scope of Besov-type regularity analysis beyond classical homogeneous settings, enabling more fine-grained control in Malliavin-type contexts and beyond.
Abstract
The reconstruction theorem and the multilevel Schauder estimate have central roles in the analytic theory of regularity structures [17]. Inspired by [26], we provide elementary proofs for them by using the semigroup of operators. Essentially, we use only the semigroup property and the upper estimates of kernels. Moreover, we refine the several types of Besov reconstruction theorems [18, 7] and introduce the new framework "regularity-integrability structures". The analytic theorems in this paper are applied to the study of quasilinear SPDEs [5] and an inductive proof of the convergence of random models [4].
