From constructive field theory to fractional stochastic calculus. (I) An introduction: rough path theory and perturbative heuristics
Jacques Magnen, J\'er\'emie Unterberger

TL;DR
This paper introduces rough path theory and perturbative field theory techniques to address the challenge of defining iterated integrals for low-regularity Gaussian processes like fractional Brownian motion with small Hurst index, aiming to develop a stochastic calculus in such rough settings.
Contribution
It presents a heuristic, physics-inspired overview of how constructive field theory tools can be applied to desingularize iterated integrals in rough path theory, bridging stochastic calculus and quantum field theory.
Findings
Heuristic presentation of rough path theory basics for physicists
Proposal of desingularization via weak non-Gaussian perturbations
Use of cluster expansions and renormalization for convergence
Abstract
Let be a -dimensional fractional Brownian motion with Hurst index , or more generally a Gaussian process whose paths have the same local regularity. Defining properly iterated integrals of is a difficult task because of the low H\"older regularity index of its paths. Yet rough path theory shows it is the key to the construction of a stochastic calculus with respect to , or to solving differential equations driven by . We intend to show in a forthcoming series of papers how to desingularize iterated integrals by a weak singular non-Gaussian perturbation of the Gaussian measure defined by a limit in law procedure. Convergence is proved by using "standard" tools of constructive field theory, in particular cluster expansions and renormalization. These powerful tools allow optimal estimates of the moments and call for an extension of the…
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