A semigroup approach to the reconstruction theorem and the multilevel Schauder estimate

The reconstruction theorem and the multilevel Schauder estimate have central roles in the analytic theory of regularity structures by Hairer (2014). Inspired by Otto and Weber’s work (2019), 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 considered by Hairer–Labbé (2017) and Broux–Lee (2022) and introduce the new framework of “regularity-integrability structures”. The analytic theorems in this paper are applied to the study of quasilinear SPDEs by Bailleul–Hoshino–Kusuoka (2022+) and an inductive proof of the convergence of random models by Bailleul–Hoshino (2023+).

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Publication Details

Journal
Annales Henri Lebesgue
Published
2025-05-20
DOI
https://doi.org/10.5802/ahl.232
Citations
2
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
4.42

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article

A semigroup approach to the reconstruction theorem and the multilevel Schauder estimate

Masato Hoshino
2 citations
Annales Henri Lebesgue
Stochastic processes and financial applications
4.42
article

A semigroup approach to the reconstruction theorem and the multilevel Schauder estimate

Masato Hoshino
article en
2 citations

Abstract

The reconstruction theorem and the multilevel Schauder estimate have central roles in the analytic theory of regularity structures by Hairer (2014). Inspired by Otto and Weber’s work (2019), 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 considered by Hairer–Labbé (2017) and Broux–Lee (2022) and introduce the new framework of “regularity-integrability structures”. The analytic theorems in this paper are applied to the study of quasilinear SPDEs by Bailleul–Hoshino–Kusuoka (2022+) and an inductive proof of the convergence of random models by Bailleul–Hoshino (2023+).

Annales Henri LebesgueVol. 8
Tokyo Institute of Technology (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 7%
Stochastic processes and financial applications
4.42
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