Chung's LIL for the linear stochastic fractional heat equation at origin
Liu Chang, Wang Ran

TL;DR
This paper establishes Chung's law of the iterated logarithm at the origin for solutions to a linear stochastic fractional heat equation driven by Gaussian noise with fractional Brownian covariance.
Contribution
It provides the first Chung's law of the iterated logarithm result for the fractional stochastic heat equation at the origin, considering fractional Laplacian and fractional Brownian noise.
Findings
Chung's law holds at the origin for the solution.
The result characterizes the precise asymptotic behavior of the solution.
The analysis extends classical results to fractional and Gaussian noise settings.
Abstract
Consider the linear stochastic fractional heat equation with vanishing initial condition: 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 Chung's law of the iterated logarithm for the solution at .
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.
Taxonomy
TopicsStochastic processes and financial applications · Fractional Differential Equations Solutions · Nonlinear Differential Equations Analysis
