
TL;DR
This paper introduces a new algebraic framework called regularity structures that generalizes Taylor expansions to describe functions and distributions, enabling rigorous analysis of singular stochastic PDEs and constructing a Markov process for quantum field theory.
Contribution
It develops the theory of regularity structures, allowing for the analysis of singular PDEs and the construction of solutions via renormalization, a significant advancement over classical methods.
Findings
Provides a calculus for operations on distributions within regularity structures.
Establishes convergence results linking solutions to regularized problems.
Constructs a Markov process for the $ ext{Φ}^4_3$ quantum field theory.
Abstract
We introduce a new notion of "regularity structure" that provides an algebraic framework allowing to describe functions and / or distributions via a kind of "jet" or local Taylor expansion around each point. The main novel idea is to replace the classical polynomial model which is suitable for describing smooth functions by arbitrary models that are purpose-built for the problem at hand. In particular, this allows to describe the local behaviour not only of functions but also of large classes of distributions. We then build a calculus allowing to perform the various operations (multiplication, composition with smooth functions, integration against singular kernels) necessary to formulate fixed point equations for a very large class of semilinear PDEs driven by some very singular (typically random) input. This allows, for the first time, to give a mathematically rigorous meaning to…
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