Growth rates for the H\"older coefficients of the linear stochastic fractional heat equation with rough dependence in space
Chang Liu, Bin Qian, Ran Wang

TL;DR
This paper analyzes the growth rates of H"older coefficients for solutions to a linear stochastic fractional heat equation driven by rough spatial dependence, providing exact asymptotics and sharp bounds.
Contribution
It establishes precise asymptotic growth rates for the solution and H"older coefficients of a fractional stochastic heat equation with rough spatial noise.
Findings
Derived exact asymptotics for the solution as time and space tend to infinity.
Established sharp growth rates for H"older coefficients.
Applied Talagrand's and Sudakov's theorems to analyze the solution.
Abstract
We study the linear stochastic fractional heat equation where denotes the fractional Laplacian with power , and the driving noise is a centered Gaussian field which is white in time and has the covariance of a fractional Brownian motion with Hurst parameter . We establish exact asymptotics for the solution as both time and space variables tend to infinity and derive sharp growth rates for the H\"older coefficients. The proofs are based on Talagrand's majorizing measure theorem and Sudakov's minoration theorem.
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.
