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Autori principali: Chandra, Ajay, Chevyrev, Ilya
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2501.06612
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author Chandra, Ajay
Chevyrev, Ilya
author_facet Chandra, Ajay
Chevyrev, Ilya
contents We propose an elementary method to show non-Gaussianity of invariant measures of parabolic stochastic partial differential equations with polynomial non-linearities in the Da Prato--Debussche regime. The approach is essentially algebraic and involves using the generator equation of the SPDE at stationarity. Our results in particular cover the $Φ^4_δ$ measures in dimensions $δ<\frac{14}{5}$, which includes cases where the invariant measure is singular with respect to the invariant measure of the linear solution.
format Preprint
id arxiv_https___arxiv_org_abs_2501_06612
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Non-Gaussianity of invariant measures to SPDEs in Da Prato-Debussche regime
Chandra, Ajay
Chevyrev, Ilya
Probability
We propose an elementary method to show non-Gaussianity of invariant measures of parabolic stochastic partial differential equations with polynomial non-linearities in the Da Prato--Debussche regime. The approach is essentially algebraic and involves using the generator equation of the SPDE at stationarity. Our results in particular cover the $Φ^4_δ$ measures in dimensions $δ<\frac{14}{5}$, which includes cases where the invariant measure is singular with respect to the invariant measure of the linear solution.
title Non-Gaussianity of invariant measures to SPDEs in Da Prato-Debussche regime
topic Probability
url https://arxiv.org/abs/2501.06612