Regularity of Gaussian white noise on the d-dimensional torus
Mark Veraar

TL;DR
This paper establishes the optimal regularity properties of Gaussian white noise on the d-dimensional torus within Besov and Fourier-Besov spaces, demonstrating precise path regularity results.
Contribution
It proves the optimal regularity of Gaussian white noise paths in Besov and Fourier-Besov spaces on the torus, extending understanding of noise regularity in these function spaces.
Findings
Gaussian white noise paths are in $B^{-d/2}_{p, olinebreak \\infty}$ spaces, for $p \\in [1, \\infty)$
Paths are also in Fourier-Besov spaces $\\hat{b}^{-d/p}_{p, olinebreak \\infty}$
Results are shown to be optimal in multiple ways
Abstract
In this paper we prove that a Gaussian white noise on the -dimensional torus has paths in the Besov spaces with . This result is shown to be optimal in several ways. We also show that Gaussian white noise on the -dimensional torus has paths in a the Fourier-Besov space . This is shown to be optimal as well.
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