PreprintCC BY 4.0arXiv
Invariant Manifolds and Stability for Singular SPDEs
Abstract
We study the long-time dynamics of a class of singular stochastic partial differential equations with multiplicative Gaussian noise. Using the theory of regularity structures, we construct the associated random dynamical system and establish an ergodic framework for the underlying random models. Combining pathwise estimates for the singular equation with a multiplicative ergodic theorem in Banach spaces, we analyse the Lyapunov spectrum of the linearized dynamics and establish the existence of local stable, unstable, and center invariant manifolds around stationary points. As a consequence, when the linearized equation is exponentially stable, we obtain a local exponential stability result for the nonlinear equation.
Related
BibTeX
@misc{varzaneh2026invariant,
title = {{Invariant Manifolds and Stability for Singular SPDEs}},
author = {Mazyar Ghani Varzaneh},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2609.33771},
eprint = {2609.33771},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.33771},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Invariant Manifolds and Stability for Singular SPDEs
AU - Mazyar Ghani Varzaneh
PY - 2026
DA - 2026/10/07
PB - arXiv
DO - 10.48550/arxiv.2609.33771
UR - https://arxiv.org/abs/2609.33771
AB - We study the long-time dynamics of a class of singular stochastic partial differential equations with multiplicative Gaussian noise. Using the theory of regularity structures, we construct the associated random dynamical system and establish an ergodic framework for the underlying random models. Combining pathwise estimates for the singular equation with a multiplicative ergodic theorem in Banach spaces, we analyse the Lyapunov spectrum of the linearized dynamics and establish the existence of local stable, unstable, and center invariant manifolds around stationary points. As a consequence, when the linearized equation is exponentially stable, we obtain a local exponential stability result for the nonlinear equation.
ER -