Random models for singular SPDEs

Fuente: arXiv
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Autori principali: Bailleul, I., Bruned, Y.
Natura: Preprint
Pubblicazione: 2023
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author Bailleul, I.
Bruned, Y.
author_facet Bailleul, I.
Bruned, Y.
contents We give a proof of the convergence of the BHZ renormalized model associated with the generalized (KPZ) equation that does not require the full strength of the BPHZ renormalisation. Our approach is based on a convenient form of chaos decomposition. The other key ingredient is a generalisation of the Hairer-Quastel convergence theorem for Feynman diagrams with certain decorations encoding Taylor remainders. With these ideas we are able to construct the model for the generalised KPZ equation.
format Preprint
id arxiv_https___arxiv_org_abs_2301_09596
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Random models for singular SPDEs
Bailleul, I.
Bruned, Y.
Probability
Analysis of PDEs
We give a proof of the convergence of the BHZ renormalized model associated with the generalized (KPZ) equation that does not require the full strength of the BPHZ renormalisation. Our approach is based on a convenient form of chaos decomposition. The other key ingredient is a generalisation of the Hairer-Quastel convergence theorem for Feynman diagrams with certain decorations encoding Taylor remainders. With these ideas we are able to construct the model for the generalised KPZ equation.
title Random models for singular SPDEs
topic Probability
Analysis of PDEs
url https://arxiv.org/abs/2301.09596