不可压缩Qian-Sheng模型的零惯性极限

IF 2 2区 数学 Q1 MATHEMATICS Analysis and Applications Pub Date : 2021-11-09 DOI:10.1142/s0219530521500184
Yi-Long Luo, Yangjun Ma
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引用次数: 0

摘要

钱-盛模型是一个在Q张量框架下描述向列相液晶流体力学的系统。当包括惯性效应时,它是一个双曲型系统,涉及具有强迫不可压缩Navier–Stokes方程的二阶材料导数耦合。如果形式上让惯性常数[公式:见正文]为零,则得到的系统就是相应的抛物型模型。我们在[公式:见正文]中用小的初始数据提供了对这一极限的严格证明的结果,这在数学上验证了抛物型钱-盛模型。为了实现这一点,引入了初始层,不仅克服了双曲型和抛物型模型之间初始条件的差异,而且使收敛速度最优。此外,还精心设计了一种新的[公式:见正文]依赖的能量范数,只有当[公式:看正文]足够小时,它才是非负的,并处理了二阶材料导数带来的困难。
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Zero inertia limit of incompressible Qian–Sheng model
The Qian–Sheng model is a system describing the hydrodynamics of nematic liquid crystals in the Q-tensor framework. When the inertial effect is included, it is a hyperbolic-type system involving a second-order material derivative coupling with forced incompressible Navier–Stokes equations. If formally letting the inertial constant [Formula: see text] go to zero, the resulting system is the corresponding parabolic model. We provide the result on the rigorous justification of this limit in [Formula: see text] with small initial data, which validates mathematically the parabolic Qian–Sheng model. To achieve this, an initial layer is introduced to not only overcome the disparity of the initial conditions between the hyperbolic and parabolic models, but also make the convergence rate optimal. Moreover, a novel [Formula: see text]-dependent energy norm is carefully designed, which is non-negative only when [Formula: see text] is small enough, and handles the difficulty brought by the second-order material derivative.
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来源期刊
CiteScore
3.90
自引率
4.50%
发文量
29
审稿时长
>12 weeks
期刊介绍: Analysis and Applications publishes high quality mathematical papers that treat those parts of analysis which have direct or potential applications to the physical and biological sciences and engineering. Some of the topics from analysis include approximation theory, asymptotic analysis, calculus of variations, integral equations, integral transforms, ordinary and partial differential equations, delay differential equations, and perturbation methods. The primary aim of the journal is to encourage the development of new techniques and results in applied analysis.
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