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Second-order fields for stochastic partial differential equations

Published 8 Sep 2026 in math.PR and math.AP | (2609.09540v1)

Abstract: In this article, we study the second-order fluctuation of the solutions of one-dimensional polynomial stochastic partial differential equations (SPDEs) of the form \begin{equation*} (\partial_t - Δ) Φ{\varepsilon} = -P(Φ{\varepsilon}) + ξ{\varepsilon}, \end{equation*} where PP is a polynomial of degree greater than or equal to $2$, ξ</em>εξ</em>\varepsilon is the white-noise after being convoluted (in space) by the heat kernel Kε=e<sup>ε</sup>ΔK_\varepsilon = e<sup>{\varepsilon</sup> Δ}. More precisely, taking advantage of the local solutions of pointwise well-posedness of limits Φ=limε0Φ<em>εΦ= \lim_{\varepsilon \to 0}Φ<em>{\varepsilon}, we characterise the limit of Φ<sup>err=lim</sup></em>ε0ε<sup>1(ΦεΦ)Φ<sup>{err}=\lim</sup></em>{\varepsilon \to 0} \varepsilon<sup>{-1}(Φ_{\varepsilon}-Φ) as the solution of a more irregular stochastic partial differential equation. This is performed by applying the Da Prato--Debussche decomposition in the non-linear equation and characterising the limit of each of the terms. We also discuss possible characterisations of second-order fluctuations performed for higher-dimensional SPDEs in the weakly-coupled regime.

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