On the multifractal local behavior of parabolic stochastic PDEs
Jingyu Huang, Davar Khoshnevisan

TL;DR
This paper investigates the multifractal nature of short-time peaks in solutions to the stochastic heat equation driven by space-time white noise, revealing new short-time behavior distinct from classical fractional Brownian motion models.
Contribution
It establishes the first short-time multifractal analysis of the stochastic heat equation's solutions, showing peaks follow a non-iterated logarithm law on a set of full Hausdorff dimension.
Findings
Short-time peaks exhibit a non-iterated logarithm law.
Peaks contain a rich multifractal structure almost surely.
Results are the first of their kind for short-time behavior.
Abstract
Consider the stochastic heat equation on subject to , where is a Lipschitz (local) function that does not vanish at , and denotes space-time white noise. It is well known that has continuous sample functions; as a result, almost surely for every . The corresponding fluctuations are also known: For every fixed , looks locally like a fixed multiple of fractional Brownian motion (fBm) with index . In particular, an application of Fubini's theorem implies that, on an -set of full Lebesgue measure, the short-time behavior of the peaks of the random function are governed by the law of the iterated logarithm for fBm, up to possibly a suitable normalization…
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Mathematical Dynamics and Fractals
