Results 11 to 20 of about 11,566 (259)
Renormalisation of Stochastic Partial Differential Equations
EMS Newsletter, 2020 Summary: We present the main ideas of the renormalisation of stochastic partial differential equations, as it appears in the theory of regularity structures. We informally discuss the regularisation of the noise, the transformation of the canonical model to the renormalised one, the space of the models and the underlying algebraic structure.
Bruned, Yvain +2 more
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Postprocessing for Stochastic Parabolic Partial Differential Equations [PDF]
SIAM Journal on Numerical Analysis, 2007 We investigate the strong approximation of stochastic parabolic partial differential equations with additive noise. We introduce postprocessing in the context of a standard Galerkin approximation, although other spatial discretizations are possible. In time, we follow [G. J. Lord and J. Rougemont, IMA J. Numer. Anal., 24 (2004), pp. 587-604] and use an
Gabriel J. Lord, Tony Shardlow
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Fuzzy-Stochastic Partial Differential Equations [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2019 31 ...
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Communications in Contemporary Mathematics, 2005 We explore Itô stochastic differential equations where the drift term possibly depends on the infinite past. Assuming the existence of a Lyapunov function, we prove the existence of a stationary solution assuming only minimal continuity of the coefficients.
Bakhtin, Y, Mattingly, JC
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Approximations of stochastic partial differential equations
The Annals of Applied Probability, 2016 In this paper we show that solutions of stochastic partial differential equations driven by Brownian motion can be approximated by stochastic partial differential equations forced by pure jump noise/random kicks. Applications to stochastic Burgers equations are discussed.
Di Nunno, Giulia, Zhang, Tusheng
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On Some Results of the Nonuniqueness of Solutions Obtained by the Feynman–Kac Formula
Mathematics, 2023 The Feynman–Kac formula establishes a link between parabolic partial differential equations and stochastic processes in the context of the Schrödinger equation in quantum mechanics.
Byoung Seon Choi, Moo Young Choi
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SPDIEs and BSDEs Driven by Lévy Processes and Countable Brownian Motions
Journal of Function Spaces, 2016 The paper is devoted to solving a new class of backward stochastic differential equations driven by Lévy process and countable Brownian motions. We prove the existence and uniqueness of the solutions to the backward stochastic differential equations by ...
Pengju Duan
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Electronic Journal of Qualitative Theory of Differential Equations, 2016 This paper is concerned with well-posedness and stability of parabolic stochastic partial differential equations. Firstly, we obtain some sufficient conditions ensuring the existence and uniqueness of mild solutions, and some $\mathcal{H}$-stability ...
Chaoliang Luo, Shangjiang Guo
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Abstract and Applied Analysis, 2014 Mean-field forward-backward doubly stochastic differential equations (MF-FBDSDEs) are studied, which extend many important equations well studied before.
Qingfeng Zhu, Yufeng Shi
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Mathematics, 2022 This paper studies the leaderless consensus of the stochastic multi-agent systems based on partial differential equations–ordinary differential equations (PDE-ODEs).
Chuanhai Yang +5 more
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