Rough Volterra equations 1: the algebraic integration setting
Aur\'elien Deya (IECN), Samy Tindel (IECN)

TL;DR
This paper develops a framework using algebraic integration to solve Volterra equations driven by irregular signals, extending rough path theory to handle singular coefficients and fractional Brownian motion.
Contribution
It introduces a novel algebraic integration approach for Volterra equations, enabling solutions with irregular signals and singular coefficients, including fractional Brownian motion.
Findings
Global solutions for H"older exponent > 1/2
Local existence and uniqueness for H"older exponent in (1/3,1/2]
Applicable to fractional Brownian motion with H > 1/3
Abstract
We define and solve Volterra equations driven by an irregular signal, by means of a variant of the rough path theory called algebraic integration. In the Young case, that is for a driving signal with H\"older exponent greater than 1/2, we obtain a global solution, and are able to handle the case of a singular Volterra coefficient. In case of a driving signal with H\"older exponent in (1/3,1/2], we get a local existence and uniqueness theorem. The results are easily applied to the fractional Brownian motion with Hurst coefficient H>1/3.
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Fractional Differential Equations Solutions
