三维随机Navier-斯托克斯方程的Markov选择
Markov selections for the 3D stochastic Navier-Stokes equations
摘要:
研究了加性噪声强迫下Navier-斯托克斯方程解的马尔可夫性和关于初始条件的连续性(强Feller性).首先,我们证明,通过一个抽象的选择原则,有马尔可夫解的Navier-斯托克斯方程。由于有限能量空间中解的不连续性,马尔可夫性在时间上几乎处处成立。然后,根据噪声的正则性,证明了在正则初始条件下,任何马尔可夫解都具有强Feller性质。我们也给这些事实的一些后果,连同一个新的充分条件的适定性。
英文摘要:
We investigate the Markov property and the continuity with respect to the initial conditions (strong Feller property) for the solutions to the Navier-Stokes equations forced by an additive noise. First, we prove, by means of an abstract selection principle, that there are Markov solutions to the Navier-Stokes equations. Due to the lack of continuity of solutions in the space of finite energy, the Markov property holds almost everywhere in time. Then, depending on the regularity of the noise, we prove that any Markov solution has the strong Feller property for regular initial conditions. We give also a few consequences of these facts, together with a new sufficient condition for well-posedness.
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