Volterra Equations Driven by Rough Signals

TL;DR

This paper extends rough path theory to Volterra equations with singular kernels by introducing Volterra signatures and controlled paths, enabling the construction of solutions driven by rough signals.

Contribution

It develops a novel Volterra signature and convolution product, extending rough path theory to Volterra equations with singular kernels, and constructs solutions driven by rough signals.

Findings

Defined Volterra paths and signatures.

Introduced a convolution product for Volterra paths.

Constructed solutions for Volterra equations driven by rough signals.

Abstract

This article is devoted to the extension of the theory of rough paths in the context of Volterra equations with possibly singular kernels. We begin to describe a class of two parameter functions defined on the simplex called Volterra paths. These paths are used to construct a so-called Volterra-signature, analogously to the signature used in Lyon's theory of rough paths. We provide a detailed algebraic and analytic description of this object. Interestingly, the Volterra signature does not have a multiplicative property similar to the classical signature, and we introduce an integral product behaving like a convolution extending the classical tensor product. We show that this convolution product is well defined for a large class of Volterra paths, and we provide an analogue of the extension theorem from the theory of rough paths (which guarantees in particular the existence of a Volterra signature). Moreover the concept of convolution product is essential in the construction of Volterra controlled paths, which is the natural class of processes to be integrated with respect to the driving noise in our situation. This leads to a rough integral given as a functional of the Volterra signature and the Volterra controlled paths, combined through the convolution product. The rough integral is then used in the construction of solutions to Volterra equations driven by H\"older noises with singular kernels. An example concerning Brownian noises and a singular kernel is treated