Quenched asymptotics for a 1-d stochastic heat equation driven by a rough spatial noise
Prakash Chakraborty, Xia Chen, Bo Gao, Samy Tindel

TL;DR
This paper studies the one-dimensional stochastic heat equation with rough spatial noise, establishing existence, uniqueness, and asymptotic behavior of solutions through spectral analysis of a related random operator.
Contribution
It provides the first analysis of quenched asymptotics for the 1D stochastic heat equation driven by fractional noise with Hurst parameter less than 1/2.
Findings
Existence and uniqueness of solutions for H<1/2
Asymptotic characterization of the principal eigenvalue
Application of Feynman-Kac representation to analyze solution behavior
Abstract
In this note we consider the parabolic Anderson model in one dimension with time-independent fractional noise in space. We consider the case and get existence and uniqueness of solution. In order to find the quenched asymptotics for the solution we consider its Feynman-Kac representation and explore the asymptotics of the principal eigenvalue for a random operator of the form .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
