A $K$-rough path above the space-time fractional Brownian motion
Xia Chen, Aur\'elien Deya, Cheng Ouyang, Samy Tindel

TL;DR
This paper constructs a $K$-rough path over space-time and spatial fractional Brownian motions in any dimension, enabling a rigorous interpretation and unique solution for the renormalized parabolic Anderson model, including spatial fractional noise.
Contribution
It introduces a novel construction of $K$-rough paths for fractional Brownian motions in arbitrary dimensions, facilitating analysis of related stochastic PDEs.
Findings
Successfully constructs $K$-rough paths for fractional Brownian motions.
Provides a unique, renormalized solution to the parabolic Anderson model.
Extends analysis to spatial fractional noise cases.
Abstract
We construct a -rough path above either a space-time or a spatial fractional Brownian motion, in any space dimension . This allows us to provide an interpretation and a unique solution for the corresponding parabolic Anderson model, understood in the renormalized sense. We also consider the case of a spatial fractional noise.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Stochastic processes and statistical mechanics
