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arXiv 1902.03559math.APmath.PR
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随机非线性薛定谔方程的最优双线性控制:质量(次)临界情形

Optimal bilinear control of stochastic nonlinear Schrödinger equations: mass-(sub)critical case

Deng Zhang

摘要:

研究了随机非线性薛定谔方程在临界和亚临界两种情形下的最优双线性控制问题。对于一般的最小L2正则性初值,证明了开环控制的存在性和一阶Lagrange条件。进一步,我们在U2和V2型新空间中得到了(向后)随机解的一致估计,适用于与低阶扰动的线性薛定谔方程相关的发展算子.特别是,我们得到了一个新的时间正则性的重新标度(向后)随机解,这是Ekeland的变分原理诱导的逼近控制的紧密性证明的关键成分。

英文摘要:

We study optimal bilinear control problems for stochastic nonlinear Schrödinger equations in both the mass subcritical and critical case. For general initial data of the minimal L2 regularity, we prove the existence and first order Lagrange condition of an open loop control. Furthermore, we obtain uniform estimates of (backward) stochastic solutions in new spaces of type U2 and V2, adapted to evolution operators related to linear Schrödinger equations with lower order perturbations. In particular, we obtain a new temporal regularity of rescaled (backward) stochastic solutions, which is the key ingredient in the proof of tightness of approximating controls induced by Ekeland's variational principle.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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