Abstract
In this article we study the long-time dynamics of the dynamical system generated by the Ericksen–Leslie model. More precisely, we discretize the Ericksen–Leslie equations in time using the implicit Euler scheme, and with the aid of the discrete Gronwall lemmas we prove that the scheme is uniformly bounded. Moreover, using the theory of the multi-valued attractors we prove in a particular case the convergence of the global attractors generated by the numerical scheme to the global attractor of the continuous system as the time-step approaches zero.
.Introduction
Liquid crystals are considered either as an intermediate state between liquids and solids, or as the fourth state of matter (besides liquids, solids and gases). There are different types of liquid crystals phases, the nematic phase being the simplest one. In this phase, the molecules of the liquid crystal float around as in a liquid phase, but have the tendency of aligning along a preferred direction, in a crystal-like way.
The hydrodynamic theory of liquid crystals, now referred to as the Ericksen–Leslie (EL) dynamic theory, was developed in [10,11,25,26]. The EL model is now considered as one of the most successful theories used to model many dynamic phenomena in nematic liquid crystals (see, e.g., [17,49]).
The mathematical analysis of the EL models started with the work of [30–33], where the authors proved the existence of weak solutions to the Ginzburg–Landau approximation of the liquid crystal system. Since then, several studies have been devoted to the mathematical analysis of the EL models (see, e.g., [8,18,20,22,23,34,42,46]). In particular, it was shown that global weak solutions to liquid crystal system in 2D have at most finite many singular times, while the uniqueness of weak solutions to liquid crystal system in 2D was proved in [27,28,47,51]; global existence (but without uniqueness) of weak solutions to the liquid crystal system in 3D was recently established in [29], under the assumption that the initial director field takes value from the upper half unit sphere. If the initial data are suitably smooth, then the liquid crystal system has a unique local strong solution, see [21,23,46,49,50]. Moreover, if the initial data is suitably small, or the initial director field satisfies some geometrical condition in 2D, then the local strong solution to the liquid crystal system can be extended to be a global one, see [17,28]. It is worth mentioning that some mathematical analysis concerning the global existence of weak solutions and local or global well-posedness of strong solutions of the non-isothermal liquid crystal systems were addressed in [14,15].
Let us recall that some of the main difficulties in the mathematical analysis of the EL crystal flow is the presence of the term
In this article, we discretize the Ericksen–Leslie equations in time using the implicit Euler scheme. Using the discrete Gronwall lemma and the discrete uniform Gronwall lemma we prove that the scheme is uniformly bounded. Moreover, using the theory of the multi-valued attractors we prove in a particular case the convergence of the global attractors generated by the numerical scheme to the global attractor of the continuous system as the timestep approaches zero. Our work has been inspired by previous results of the authors. In [14], for example, the authors considered the implicit Euler scheme for the 2D Navier–Stokes equations and proved that the numerical scheme was
The article is divided as follows. In the next section, we recall from [17] the Ericksen–Leslie model and its mathematical setting. In Section 3 we study the stability of a time discretization scheme for the model. More precisely, we prove that the scheme is uniformly bounded in the spaces
.The Ericksen–Leslie model and its mathematical setting
.Governing equations
We recall from [17] a reformulation of the simplified EL model. We assume that the domain
We complete these equations with the initial condition
In the above system, the unknown functions are the velocity
Let us set
Thus (2.1) becomes (see [17] for details)
We recall from [43] the functional setting for periodic boundary value problems.
Let
Let
Let
We denote by
Now we define the Hilbert spaces
We introduce the bilinear operators
Note that the trilinear form
Similar inequalities are valid for the trilinear form
We also introduce the bilinear operator
We recall from [4] that the operators
We recall from [16] that
We also set
We note that
Using the above notations, we rewrite the system (2.5) as
Note that the constraint
The solution
In this article we consider a time discretization of (2.36) using the fully implicit Euler scheme,
We begin with the uniform boundedness of the approximate solution in
For every
Taking the scalar product of the first equation of (2.39) with
Multiplying the second equation of (2.39) by
Relations (3.7)–(3.9) give
Adding inequalities (3.10) with n from i to m and dropping some positive terms, we obtain (3.3).
As a direct consequence of Lemma 1, we have
If
From the bound (3.1) on
We now seek to obtain uniform bounds for the approximate solution
We begin with some preliminary inequalities.
For every
Multiplying the first equation of (2.39) by
For every
Multiplying the first equation of (2.39) by
Combining the results of Lemma 2 and Lemma 3, we can prove the uniform boundedness of
Given
Given
We are now in a position to derive a uniform bound for
Let
Moreover, for any initial data
Let In order to derive a uniform bound for We now apply Lemma 5, with Taking the sum of (3.31) with n from i to m and using (3.50) we obtain conclusion (3.51). The theorem has been proved.
In this section we address the issue of the convergence of the attractors generated by the discrete system (2.39) to the attractor generated by the continuous system (2.36) when
The main tool in proving the convergence of the discrete attractors to the continuous attractor is the following theorem, whose proof can be found in [9] (see also [12,44,48]).
Let
[Uniform boundedness]: there exists
[Finite time uniform convergence]: there exists
Then
Hereafter we assume
To that end, we define for
As in [9] (see also [12,36]), one can prove the following
For any
As a consequence of Theorem 1, we have
Let
Theorem 4 gives the existence of the discrete global attractors:
For every
Since the global attractor
Let
Let
As shown in [17],
We thus have
Now let
We are now in a position to prove that condition (H2) of Theorem 2 is satisfied.
For any
Subtracting (4.9) from (2.36) and setting
Multiplying the first equation of (4.30) by
Multiplying the second equation of (4.30) by
Using (2.16), (2.23) and (2.27) we bound the nonlinear terms as follows:
Relations (4.44), (4.45), (4.12) and (4.13) give
Having proved that conditions (H1) and (H2) of Theorem 2 are satisfied we also obtain that the discrete attractors converge to the continuous attractor as the time-step approaches zero. More precisely, we have the following:
The family of attractors
The proof follows from Theorem 2 and Proposition 2.
Footnotes
Acknowledgements
The authors would like to thank AIM for the invitation to attend one of its workshops, which was the starting point for this project; they also thank the referees for helpful comments.
