Backward uniqueness of 3D MHD-α model driven by linear multiplicative Gaussian noise

Rangrang Zhang

doi:10.1002/mma.5756

Backward uniqueness of 3D MHD-α model driven by linear multiplicative Gaussian noise

Rangrang Zhang^*

^*Corresponding author for this work

School of Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this paper, we devote to proving the backward uniqueness property of the solution to three-dimensional stochastic magnetohydrodynamic-α model (3D stochastic MHD-α model) driven by linear multiplicative Gaussian noise, which involves not only the study of multiplicative noise but also the challenging nonlinear drift terms.

Original language	English
Pages (from-to)	6522-6536
Number of pages	15
Journal	Mathematical Methods in the Applied Sciences
Volume	42
Issue number	18
DOIs	https://doi.org/10.1002/mma.5756
Publication status	Published - 1 Dec 2019

Keywords

MHD-α model
backward uniqueness
linear multiplicative Gaussian noise

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10.1002/mma.5756

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title = "Backward uniqueness of 3D MHD-α model driven by linear multiplicative Gaussian noise",

abstract = "In this paper, we devote to proving the backward uniqueness property of the solution to three-dimensional stochastic magnetohydrodynamic-α model (3D stochastic MHD-α model) driven by linear multiplicative Gaussian noise, which involves not only the study of multiplicative noise but also the challenging nonlinear drift terms.",

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author = "Rangrang Zhang",

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AB - In this paper, we devote to proving the backward uniqueness property of the solution to three-dimensional stochastic magnetohydrodynamic-α model (3D stochastic MHD-α model) driven by linear multiplicative Gaussian noise, which involves not only the study of multiplicative noise but also the challenging nonlinear drift terms.

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Backward uniqueness of 3D MHD-α model driven by linear multiplicative Gaussian noise

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Keywords

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