scholarly journals Entropy inequality and energy dissipation of inertial Qian–Sheng model for nematic liquid crystals

2021 ◽  
Vol 18 (01) ◽  
pp. 221-256
Author(s):  
Ning Jiang ◽  
Yi-Long Luo ◽  
Yangjun Ma ◽  
Shaojun Tang

For the inertial Qian–Sheng model of nematic liquid crystals in the [Formula: see text]-tensor framework, we illustrate the roles played by the entropy inequality and energy dissipation in the well-posedness of smooth solutions when we employ energy method. We first derive the coefficients requirements from the entropy inequality, and point out the entropy inequality is insufficient to guarantee energy dissipation. We then introduce a novel Condition (H) which ensures the energy dissipation. We prove that when both the entropy inequality and Condition (H) are obeyed, the local in time smooth solutions exist for large initial data. Otherwise, we can only obtain small data local solutions. Furthermore, to extend the solutions globally in time and obtain the decay of solutions, we require at least one of the two conditions: entropy inequality, or [Formula: see text], which significantly enlarge the range of the coefficients in previous works.

2017 ◽  
Vol 27 (08) ◽  
pp. 1459-1488 ◽  
Author(s):  
Yongyong Cai ◽  
Jie Shen ◽  
Xiang Xu

We propose an unconditionally stable numerical scheme for a 2D dynamic [Formula: see text]-tensor model of nematic liquid crystals. This dynamic [Formula: see text]-tensor model is an [Formula: see text]-gradient flow generated by the liquid crystal free energy that contains a cubic term, which is physically relevant but makes the free energy unbounded from below, and for this reason, has been avoided in other numerical studies. The unboundedness of the energy brings significant difficulty in analyzing the model and designing numerical schemes. By using a stabilizing technique, we construct an unconditionally stable scheme, and establish its unique solvability and convergence. Our convergence analysis also leads to, as a byproduct, the well-posedness of the original PDE system for the 2D [Formula: see text]-tensor model. Several numerical examples are presented to validate and demonstrate the effectiveness of the scheme.


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