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Sharp bounds for non-trace class noise and applications t...
[Submitted on 27 Jan 2026 (v1), last revised 19 Jul 2026 (this v · 2026-01-27 · via math.PR updates on arXiv.org

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Abstract:In the study of stochastic PDEs with colored, non-trace class space-time noise, one frequently encounters Gaussian series of the form $$g \sum_{n\geq 1} \gamma_n \mu_n f_n, $$ where $(\gamma_n)_{n}$ is a sequence of standard independent Gaussian variables, $g$ is an $L^\eta(\mathcal{O})$ function, $(\mu_n)_{n}$ is a sequence of scalars, and $(f_n)_n$ is an orthonormal system in $L^2(\mathcal{O})$ where $\mathcal{O} \subseteq \mathbb{R}^d$ is an open set. In this manuscript, we establish necessary and sufficient conditions for the above sum to converge in Bessel potential spaces $H^{-s,q}(\mathcal{O})$. The latter can be interpreted as a Sobolev embedding for Gaussian series. Our main theorem is formulated using weighted sequence spaces that encode the $L^\infty$-growth of the orthonormal system $(f_n)_{n}$, a feature that is crucial for obtaining sharp estimates. We apply our results to the stochastic heat equation with additive non-trace class noise. In this case, our conditions capture the scaling relationship between the heat operator and the coloring of the noise.

Submission history

From: Antonio Agresti [view email]
[v1] Tue, 27 Jan 2026 14:16:24 UTC (54 KB)
[v2] Fri, 22 May 2026 20:47:09 UTC (55 KB)
[v3] Sun, 19 Jul 2026 18:25:01 UTC (57 KB)