lsamvy噪声强迫下的倒向二维和三维随机对流Brinkman-Forchheimer方程解的存在唯一性

Pub Date : 2023-07-03 DOI:10.1007/s11040-023-09458-5
Manil T. Mohan
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引用次数: 0

摘要

研究了由lsamvy噪声驱动的环面上二维和三维不可压缩后向随机对流Brinkman-Forchheimer (BSCBF)方程。给出了二维和三维BSCBF方程有限维近似自适应解的先验估计。对于给定的终端数据,利用标准伽辽金(或谱)逼近技术和单调性论证,证明了路径自适应强解的存在唯一性。我们还建立了关于终端数据的适应性解的连续性。对于\(d=2\)的吸收指数\(r\in [1,\infty )\)和\(d=3\)的吸收指数\(r\in [3,\infty )\),以及Brinkman系数\(\mu >0\)、Forchheimer系数\(\beta >0\),均可得到上述结果,因此也成功地处理了三维临界情况\(r=3\)。我们也推导出受lsamvy噪声扰动的二维后向随机Navier-Stokes方程的类似结果。
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Existence and Uniqueness of Solutions to Backward 2D and 3D Stochastic Convective Brinkman–Forchheimer Equations Forced by Lévy Noise

The two- and three-dimensional incompressible backward stochastic convective Brinkman–Forchheimer (BSCBF) equations on a torus driven by Lévy noise are considered in this paper. A-priori estimates for adapted solutions of the finite-dimensional approximation of 2D and 3D BSCBF equations are obtained. For a given terminal data, the existence and uniqueness of pathwise adapted strong solutions is proved by using a standard Galerkin (or spectral) approximation technique and exploiting the monotonicity arguments. We also establish the continuity of the adapted solutions with respect to the terminal data. The above results are obtained for the absorption exponent \(r\in [1,\infty )\) for \(d=2\) and \(r\in [3,\infty )\) for \(d=3\), and any Brinkman coefficient \(\mu >0\), Forchheimer coefficient \(\beta >0\), and hence the 3D critical case (\(r=3\)) is also handled successfully. We deduce analogous results for 2D backward stochastic Navier–Stokes equations perturbed by Lévy noise also.

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