Representation of manifolds for the stochastic Swift-Hohenberg equation with multiplicative noise
DOI10.1155/2020/2676919zbMath1440.60054OpenAlexW2999026088WikidataQ126393763 ScholiaQ126393763MaRDI QIDQ2308013
Publication date: 25 March 2020
Published in: Advances in Mathematical Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2020/2676919
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) Generation, random and stochastic difference and differential equations (37H10) PDEs with randomness, stochastic partial differential equations (35R60)
Cites Work
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- Slow manifolds for multi-time-scale stochastic evolutionary systems
- Qualitative properties of local random invariant manifolds for SPDEs with quadratic nonlinearity
- Approximation representation of parameterizing manifold and non-Markovian reduced systems for a stochastic Swift-Hohenberg equation
- Geometric theory of semilinear parabolic equations
- Propagating fronts and the center manifold theorem
- Invariant manifolds for stochastic partial differential equations.
- Smooth stable and unstable manifolds for stochastic evolutionary equations
- Ergodic theory for SDEs with extrinsic memory
- Asymptotic dynamical difference between the nonlocal and local Swift–Hohenberg models
- Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations
- Multiscale analysis for stochastic partial differential equations with quadratic nonlinearities
- Ergodic properties of a class of non-Markovian processes
- An impact of noise on invariant manifolds in nonlinear dynamical systems
- Geometric shape of invariant manifolds for a class of stochastic partial differential equations
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