Parabolic Anderson model with rough dependence in space
Yaozhong Hu, Jingyu Huang, Khoa L\^e, David Nualart, Samy Tindel

TL;DR
This paper investigates a one-dimensional parabolic Anderson model driven by Gaussian noise with rough spatial dependence, deriving chaos expansions, Feynman-Kac formulas, and asymptotic bounds for moments.
Contribution
It introduces a novel analysis of the model with fractional Brownian motion in space, providing explicit formulas and bounds for moments.
Findings
Derived Wiener chaos expansion of the solution
Established Feynman-Kac formula for moments
Obtained sharp asymptotic bounds for moments
Abstract
This paper studies the one-dimensional parabolic Anderson model driven by a Gaussian noise which is white in time and has the covariance of a fractional Brownian motion with Hurst parameter in the space variable. We derive the Wiener chaos expansion of the solution and a Feynman-Kac formula for the moments of the solution. These results allow us to establish sharp lower and upper asymptotic bounds for the th moment of the solution.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Theoretical and Computational Physics
