Small data global regularity for 3-D Ericksen-Leslie's hyperbolic liquid crystal model without kinematic transport
Jiaxi Huang, Ning Jiang, Yi-Long Luo, Lifeng Zhao

TL;DR
This paper proves global regularity for small initial data in a 3D hyperbolic liquid crystal model, combining Navier-Stokes and wave map equations, using space-time resonance techniques.
Contribution
It establishes the first global regularity result for this complex coupled hyperbolic liquid crystal system without kinematic transport.
Findings
Global regularity for small initial data is achieved.
The space-time resonance method is effectively applied.
The model couples Navier-Stokes with wave maps in 3D.
Abstract
In this article, we consider the Ericksen-Leslie's hyperbolic system for incompressible liquid crystal model without kinematic transport in three spatial dimensions, which is a nonlinear coupling of incompressible Navier-Stokes equations with wave map to . Global regularity for small and smooth initial data near the equilibrium is proved. The proof relies on the idea of space-time resonance.
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Small data global regularity for 3-D Ericksen-Leslie’s hyperbolic liquid crystal model without kinematic transport
Jiaxi Huang1
,
Ning Jiang2
,
Yi-Long Luo3
and
Lifeng Zhao4
1 Beijing International Center for Mathematical Research, Peking University, Beijing 100871, P. R. China
2School of Mathemtical and Statistics, Wuhan University, Wuhan 430072, P. R. China
3School of Mathematics, South China University of Technology, Guangzhou, 510641, P. R. China
4School of Mathemtical Sciences, University of Science and Technology of China, Hefei 230026, P. R. China
Abstract.
In this article, we consider the Ericksen-Leslie’s hyperbolic system for incompressible liquid crystal model without kinematic transport in three spatial dimensions, which is a nonlinear coupling of incompressible Navier-Stokes equations with wave map to . Global regularity for small and smooth initial data near the equilibrium is proved. The proof relies on the idea of space-time resonance.
Key words and phrases:
Global regularity, hyperbolic, liquid crystal
1. Introduction
The hydrodynamic theory of incompressible liquid crystals was established by Ericksen [3, 5, 6] and Leslie [16, 17] in the 1960’s (see also Section 5.1 of [22] ). The general Ericksen-Leslie’s system consists of the following equations of the velocity field and the orientation field , and :
[TABLE]
For the detailed derivation of (1.1) from the original form of Ericksen-Leslie’s formulation, see, for example [15].
In the above system, is the inertial constant, and the superposed dot denotes the material derivative , and
[TABLE]
represent the rate of strain tensor and skew-symmetric part of the strain rate, respectively. We also define as the rigid rotation part of director changing rate by fluid vorticity. Here , , , and . The stress tensor has the following form:
[TABLE]
These coefficients which may depend on material and temperature, are usually called Leslie coefficients, and are related to certain local correlations in the fluid. Usually, the following relations are frequently introduced in the literatures [3, 16, 28].
[TABLE]
The first two relations are necessary conditions in order to satisfy the equation of motion identically, while the third relation is called Parodi’s relation, which is derived from Onsager reciprocal relations expressing the equality of certain relations between flows and forces in thermodynamic systems out of equilibrium. Under Parodi’s relation, we see that the dynamics of an incompressible nematic liquid crystal flow involve five independent Leslie coefficients in (1.2). Furthermore, in (1.1), the Lagrangian multiplier is (which ensures the geometric constraint ):
[TABLE]
We remark that the last two terms in the third equation of (1.1) is the so-called kinematic transport, i.e.
[TABLE]
which represents the effect of the macroscopic flow field on the microscopic structure. The material coefficients and reflect the molecular shape and the slippery part between the fluid and particles. The first term represents the rigid rotation of the molecule , while the second term stands for the streching of the molecule by the flow.
Recently, the second and third named authors of the current paper studied in [15] the well-posedness in the context of classical solutions for the hyperbolic case, i.e. . More precisely, in [15] under some natural constraints on the Leslie coefficients which ensure the basic energy law is dissipative, they proved the local-in-time existence and uniqueness of the classical solution to the system (1.1) with finite initial energy. Furthermore, with an additional assumption on the coefficients which provides a damping effect, i.e. , and the smallness of the initial energy, the unique global classical solution was established. Here we remark that the assumption plays a crucial role in the global-in-time well-posedness.
Cai-Wang [2] recently made progress for the simplied Ericksen-Leslie system, namely, the case with , . They proved the global regularity of (1.1) near the constant equilibrium by employing the vector field method.
In the current paper, we consider the more general case: still and , but , and . Of course, from (1.3), we still have , i.e. the kinematic transport vanishes. The aim of this paper is to prove the global regularity of this more general case (but still special, comparing to the most general case, say, (1.2) and (1.3)) near the constant equilibrium . More precisely, we study the Ericksen-Leslie’s hyperbolic liquid crystal model in the following form:
[TABLE]
on with the constraint , where
[TABLE]
1.1. Historical remarks
Important special case of (1.1) is the so-called parabolic Ericksen-Leslie system, which has been extensively studied from the mid 80’s.The static analogue of the parabolic Ericksen-Leslie’s system is the so-called Oseen-Frank model, whose mathematical study was initialed from Hardt-Kinderlehrer-Lin [11]. Since then there have been many works in this direction. In particular, the existence and regularity or partial regularity of the approximation (usually Ginzburg-Landau approximation as in [19]) dynamical Ericksen-Leslie’s system was started by the work of Lin and Liu in [19], [20] and [21]. The simplest system preserving the basic energy law which can be obtained by neglecting the Leslie stress and by specifying some elastic constants. In 2-D case, the existence of global weak solutions with at most a finite number of singular times were proved by Lin-Lin-Wang [18]. Recently, Lin and Wang proved global existence of weak solution for 3-D case with the initial director field lying in the hemisphere in [23].
For the more general parabolic Ericksen-Leslie’s system, local well-posedness is proved by Wang-Zhang-Zhang in [26], and existence of global solutions and regularity in was established by Huang-Lin-Wang in [12]. For more complete review of the works for the parabolic Ericksen-Leslie’s system, please see the references therein above.
If , (1.1) is an incompressible Navier-Stokes equations coupled with a wave map type system for which there is very few works, comparing the corresponding parabolic model, which is Navier-Stokes coupled with a heat flow. The only notable exception might be for the most simplified model, say, in (1.1), taking and , and the spatial dimension is . For this case, the system (1.1) can be reduced to a so-called nonlinear variational wave equation. Zhang and Zheng studied systematically the dissipative and energy conservative solutions [29, 30].
For the multidimensional case, there has been some progress on the hyperbolic system of liquid crystal. Very recently, De Anna and Zarnescu [4] considered the inertial Qian-Sheng model of liquid crystals. They derived the energy law and proved the local well-posdedness for bounded initial data and global well-posedness under the assumptions that the initial data is small in suitable norm and the coefficients satisfy some further damping property. Furthermore, for the inviscid version of the Qian-Sheng model, in [7], Feireisl-Rocca-Schimperna-Zarnescu proved the global existence of the dissipative solution which is inspired from that of incompressible Euler equation defined by P-L. Lions [24].
1.2. The main theorem
To state our main theorem, we need some notations. Define the perturbed angular momentum operators by
[TABLE]
where is the rotation vector-field and is defined by
[TABLE]
We define the scaling vector-field by
[TABLE]
Let
[TABLE]
and , where , , we define
[TABLE]
The main result of this paper is as follows:
Theorem 1.1**.**
Assume that , the fixed coefficients and satisfy
[TABLE]
and are initial data near equilibrium satisfying the smallness assumptions
[TABLE]
where for . Then there exists a unique global solution of the system (1.6) with initial data
[TABLE]
satisfies the energy bounds
[TABLE]
for any , where depends on , , and .
Remark 1.2**.**
(i) Even though only the case , was considered in [15], their local wellposedness results for small data hold true when or is negative.
(ii) We don’t intend to get optimal regularity, hence we choose and sufficiently large just for convenience. In fact, the regularity index may be lowered.
To understand the stress tensor and the term more clearly, we introduce the polar coordinates . Precisely, represents the angle between -axis and projection of onto plane and represents the angle between and plane, namely
[TABLE]
Then by the orientation near , we know that the angles are near [math]. Now the systerm (1.6) can be rewritten as the -system:
[TABLE]
where the second order linear operator is defined by
[TABLE]
the quadratic terms are
[TABLE]
and the error terms are
[TABLE]
where
[TABLE]
We refer the readers to the appendix for details.
Now it suffices to consider the system (1.10). For simplicity, we denote
[TABLE]
We establish the following result:
Theorem 1.3**.**
With the notation and hypothesis in Theorem 1.1, the initial data satisfies
[TABLE]
Then there exists a unique global solution of the system (1.10) with initial data
[TABLE]
satisfies the energy bounds
[TABLE]
for any , where depends on , , and .
1.3. Main ideas
The main strategy to prove global regularity relies on an interplay between the control of high order energies and decay estimates, which is based on the method of space-time resonances developed by Germain, Masmoudi and Shatah [8, 9, 10]. The main ingredients include decay estimates, energy and weighted energy estimates and -bounds on the derivatives of profile associated with normalized solution . However, there are still some difficulties to get around.
In the proof of the Theorem 1.3, we need various decay estimates of . However, for the decay of , the presence of linear operator coming from brings the first difficulty. In order to get around the difficulty, we introduce the vector and diagonalize the -equation, i.e
[TABLE]
Then the system (1.10) can be further rewritten as
[TABLE]
where is the Leray projection and is the operator
[TABLE]
Thus we can obtain the linear decay estimates of , which will be used for the decay of .
Remark 1.4**.**
The coefficients condition (1.7) is used to ensure that the above -equation is a parabolic equation. Note that the system (1.10) is a quasilinear parabolic-hyperbolic system with dissipation and dispersion effects. Moreover, it is the dissipation of that ensures the boundedness of the higher order energies of which will be used for the higher order energy estimates of . In fact, the global existence of the system (1.10) will be tremendously difficult without dissipation effect.
In the proof of the decay of , the quadratic term coming from brings the second difficulty. In fact, due to the presence of the quadratic term, the argument for the decay of is not closed if we only use the decay of heat semi-group and bootstrap assumptions. Here, we have to exploit the decay of in and in .
In proving the energy and weighted energy estimates and -bounds on the derivatives of profile , the quadratic term which comes from the second order material derivative term brings the third difficulty. More precisely, since the decays of and are not good enough, we ultilize the structure of the quadratic term to gain more decay. To get around the difficulty, we define the normalized solution and its associated profile by
[TABLE]
We write Duhamel’s formula in Fourier space for the profile as follows:
[TABLE]
where . Then from the phase we know that the time resonant sets are
[TABLE]
and space resonant set is
[TABLE]
From this we obtain the space-time resonant set
[TABLE]
Then, for weighted energy estimates, by -equation one needs to consider the space-time integrals
[TABLE]
Hence, by the above resonance analysis, for the contribution of high-low interaction, i.e and high-high interaction, i.e , we may integrate by parts in time and then use the decay of and to control (1.15). For the contribution of low-high interaction, i.e , since the space resonant set is null, we may use integration by parts in and the decay of and to control the increment of (1.15)
For the -bounds on the derivatives of , by bootstrap assumptions and the following observation
[TABLE]
it suffices to prove
[TABLE]
Since the space-resonant set is empty, we may use integration by parts in to gain the estimate.
1.4. Notations
The set of all Schwartz functions is called a Schwartz space and is denoted . For any , let and . For any , denote . For any two numbers and and a absolute constant , we denote
[TABLE]
Here we will use the following multi-index
[TABLE]
Denote
[TABLE]
1.5. Outline
In section 2, we fix notations and state the main bootstrap proposition. We also state several lemmas, such as dispersive linear bounds, Hardy-type estimate and weighted estimate. In section 3, we prove the linear decay estimate first, which is the key lemma to derive the decay estimate of . Then using the bootstrap assumptions to derive various decay estimates of and .
We then start the proof of the main bootstrap proposition in section 4 and 5, where we obtain improved energy estimates (2.13) and the bounds (2.14) on the derivation of .
2. Preliminaries and the main propositions
In this section, we start by summarizing our main definitions and notations.
2.1. Some analysis tools
The Fourier transform of is defined as follows:
[TABLE]
We use to denote the inverse Fourier transform of . Fix an even smooth function supported in and equal to 1 in . For simplicity of notation, we also let denote the corresponding radial function on . For any , , let
[TABLE]
The frequency projection operator , , and is defined by the Fourier multiplier , , and , i.e.
[TABLE]
Moreover, we have the following Bernstein inequality: For any ,
[TABLE]
Let
[TABLE]
For any , let
[TABLE]
then for any fixed, . For any , we define the operator by
[TABLE]
and denote
[TABLE]
Then for fix can be decomposed as
[TABLE]
Moreover, for any and , let , we have
[TABLE]
see [13, Lemma 3.4.].
We state several decay estimates and dispersive estimates.
Lemma 2.1** (Decay estimates).**
(i) For any Schwartz function , we have
[TABLE]
Proof.
By (1.7), we obtain
[TABLE]
and
[TABLE]
Then by the above two bounds, we apply a similar argument to decay estimates of heat operator to and then obtain the bound (2.4).
∎
We also need the following Hardy-type estimate involving localization in frequency and space.
Lemma 2.2** (Lemma 3.5, [13]).**
For and let
[TABLE]
Then, for any ,
[TABLE]
Lemma 2.3** (Lemma 2.2, [27]).**
If and , then the following estimate holds:
[TABLE]
To obtain the energy estimates, one often needs to analyze the symbols. Define a class of symbol as follows
[TABLE]
whose associated norms are defined as
[TABLE]
and
[TABLE]
Then we have
Lemma 2.4** (Bilinear estimate, [14]).**
Given and two well-defined functions , then the following estimate holds:
[TABLE]
By standard Littlewood-Paley decomposition and Hölder, we can obtain the following Hardy-type inequality.
Lemma 2.5** (Hardy-type inequality).**
For any and two well-defined functions , , then the following estimates holds:
[TABLE]
Finally, we need to record the following weighted estimate
Lemma 2.6** (Lemma 3.3, [25]).**
Let , , then there holds
[TABLE]
provided the right hand side is finite.
Lemma 2.7**.**
For any and Schwartz function , we have
[TABLE]
Proof.
This bound is obtained by the relation
[TABLE]
where . ∎
2.2. The main bootstrap proposition
By standard argument, after applying vector fields to the system (1.10) and make a change of unknown
[TABLE]
we can derive that
[TABLE]
where is the lower order terms from the commutation between and ,
[TABLE]
and where for are second order differential operator,
[TABLE]
To state the main proposition we review the normalized solution and it’s profile , i.e for
[TABLE]
The function can be recovered from the normalized variable by the formulas
[TABLE]
Our main result is the following proposition:
Proposition 2.8**.**
Assume that is a solution to (1.13) on some time interval , with initial data satisfying the assumptions (1.11). Assume also that the solution satisfies the bootstrap hypothesis
[TABLE]
where , ,
[TABLE]
Then the following improved bounds hold
[TABLE]
The bounds (2.12) and (2.14) are our main bounds on the derivatives of the profile in the Fourier space. They correspond to weighted bounds in the physical space which plays an important role in the energy estimates.
From the assumption (2.12) and Lemma 2.2, we give the following useful bound.
Corollary 2.9**.**
With the notation and hypothesis in Proposition 2.8, we have for any ,
[TABLE]
Proof.
The corollary is an easy consequence of Lemma 2.2 and (2.12). Indeed, if ,
[TABLE]
If , we have
[TABLE]
This completes the proof of the Corollary. ∎
Once Proposition 2.8 is proved, Theorem 1.3 follows directly from the standard continuity argument. The rest of this paper focuses on the proof of Proposition 2.8. The key ingredients include Proposition and Proposition 5.1.
3. Decay of velocity field and orientation field
In this section, we give the various decay estimates of and , which will be useful in the energy estimates in the next sections.
3.1. Decay of .
In order for the decay estimates of , the following frequency localized linear dispersive estimate is necessary.
Lemma 3.1** (Frequency localized linear decay estimate).**
For any and Schwartz function , we have
[TABLE]
Proof.
By the similar argument to Lemma 4.1 in [27], the bound (3.1) follows. ∎
Next, we use the dispersive estimates to give the decay of .
Lemma 3.2**.**
With the notations and hypothesis in Proposition 2.8, for any , and we have
[TABLE]
Proof.
On one hand, by (2.3) and (2.15) when , we have
[TABLE]
On the other hand, when we have
[TABLE]
Meanwhile, by (2.12) and the definition of , we also have
[TABLE]
Thus (3.2) follows from (3.1) and the above three bounds.
Next by (2.1), Hölder inequality, (2.11) and (3.2), we have for
[TABLE]
Choosing such that , the bound (3.3) follows. ∎
As a consequence of Lemma 3.2, we have
Corollary 3.3**.**
With the notations and hypothesis in Proposition 2.8, we have
[TABLE]
Proof.
When , by symmetry we may assume that , then the bound (3.4) is obtained by (2.5) and (3.2). When , the bound (3.4) is obtained by (2.6) and (3.2). ∎
3.2. Decay of .
In order for the decay of , , in a function space , by -equation in (1.13) and Duhamel’s formula, it suffices to estimate
[TABLE]
where denotes the nonlinearities of -equation in (1.13). Then we obtain the desired decay estimates by the linear decay estimates (2.4) and the following bound
[TABLE]
which is the main part in the proof of the decay of .
Due to the presence of quadratic term , we begin with the decay of in space.
Lemma 3.4**.**
With the notations and hypothesis in Proposition 2.8, for any , , we have the decay estimate
[TABLE]
As a consequence, we have
[TABLE]
Furthermore, we obtain the estimate
[TABLE]
Proof.
*Step 1: Prove the estimate (3.5). * We prove the bound by induction. Assume that
[TABLE]
By Duhamel’s formula and (2.9), it suffices to prove
[TABLE]
where the nonlinearities is
[TABLE]
In fact, once (3.9)-(3.11) hold, from Duhamel’s formula we have
[TABLE]
which implies the bound (3.5).
Now we begin to prove the bounds (3.9)-(3.11). (3.9) is a consequence of (1.11) and (2.4). For the second bound (3.10), using (2.4), (2.11) and (3.8) we have
[TABLE]
For the last bound (3.11), the contributions of the error terms can be estimated as same as the quadratic terms, then it suffices to estimate the following two cases
[TABLE]
where denotes the quadratic terms in . For we ultilize (2.4) to gain decay. Indeed, by (2.4) and (2.11) we have
[TABLE]
For we ultilize (3.2) to gain decay. By (2.4) we have
[TABLE]
We then use (2.11), (3.2) and (3.4) to bound this by
[TABLE]
This completes the proof of (3.5).
Step 2: Estimate (3.6). From -equation in (2.9) and (3.5) we have
[TABLE]
The estimate of is obtained by (3.2) and (3.4), we then estimate other terms. By (3.5) it follows that
[TABLE]
and
[TABLE]
The error terms and can be estimated similarly. Hence, the bound (3.6) follows.
Finally, from (2.8) and (2.11), we have for any
[TABLE]
Then by (3.6) we obtain the bound (3.7). This completes the proof of the Lemma.
∎
Next, we prove the decay estimates of .
Lemma 3.5**.**
With the notations and hypothesis in Proposition 2.8, for any , and , we have
[TABLE]
Proof.
Here it suffices to prove (3.13) for , otherwise this estimate is obtained by Sobolev embedding and (2.11). We prove (3.13) by induction. Assume that
[TABLE]
By (2.4) and Duhamel’s formula, it suffices to prove
[TABLE]
where denotes the quadratic terms, i.e.
[TABLE]
For the first bound (3.15), it follows from (2.4), (2.11) and (3.14) that
[TABLE]
To prove the second bound (3.16), we divide the left-hand side of (3.16) into
[TABLE]
We ultilize (2.4) and (2.11) to bound by
[TABLE]
Next for the other term , we consider the contributions of , and , respectively. Namely,
[TABLE]
First, we estimate . If , using (2.4), (2.6), (2.11), (3.3) and (3.5) it follows that
[TABLE]
And by integration by parts, (2.4), (2.11), (3.3) and (3.5), we get
[TABLE]
If , using (2.4), (3.2), (2.11) and (3.14), we have
[TABLE]
and
[TABLE]
These are acceptable for .
In order to estimate , by and (2.4) we have
[TABLE]
If , by (2.11) we have
[TABLE]
If , by symmetry we may assume that , then from (2.11) and (3.14) we obtain
[TABLE]
Thus the contribution of is acceptable.
Finally, for the term , by (2.4), (2.11) and (3.4) we obtain
[TABLE]
This concludes the bound (3.16), and hence completes the proof of the lemma. ∎
Base on the linear decay estimates (2.4), we prove the following decay estimates of for .
Lemma 3.6**.**
With the notations and hypothesis in Proposition 2.8. For any , and . If , we have
[TABLE]
If , we have
[TABLE]
Proof.
Step 1: Proof of (3.17). We prove the bound (3.17) by induction. Assume that
[TABLE]
Then by (2.4) and Duhamel’s formula, it suffices to prove that
[TABLE]
and
[TABLE]
Next, we prove the above four bounds respectively. From (2.4), (2.11) and the assumption (3.19) we have
[TABLE]
This implies the bound (3.20).
For the bound (3.21) with . Using (2.4) and (2.11), we have
[TABLE]
By (2.4), (2.6), (3.2) and (3.13), we have
[TABLE]
Hence, the bound (3.21) follows.
Next, for the bound (3.22) with . using (2.4), (2.11) and (3.13), we have
[TABLE]
Finally, for the bound (3.23) with . By (2.4), (2.11) and (3.2) we have
[TABLE]
Hence, the bound (3.23) follows. This completes the proof of (3.17).
Step 2: Proof of (3.18). We prove (3.18) by induction. From (3.17) we may assume that
[TABLE]
By the assumption and (2.4), we have the bounds (3.22) and
[TABLE]
Then by Duhamel’s formula, it suffices to prove that for any
[TABLE]
For the first bound (3.26), if , using (2.4) and (3.25) we have
[TABLE]
If , we have to use the bounds (2.5), (3.5) and (3.3),
[TABLE]
which, together with (3.24), gives the bound (3.26).
For the second bound (3.27) with , from (2.4), (2.5), (2.11) and (3.4) we have
[TABLE]
This concludes the bound (3.18).
∎
As a consequence of (3.17) and (3.18), we obtain the following estimates.
Lemma 3.7**.**
With the notations and hypothesis in Proposition 2.8. For any and , we have
[TABLE]
Finally, we prove the following -norm estimates.
Lemma 3.8**.**
With the notations and hypothesis in Proposition 2.8. For any , , we have
[TABLE]
Proof.
First, we prove (3.30). In fact, we have from -equation in (2.9) that
[TABLE]
Moreover, from (2.11) it follows that
[TABLE]
and
[TABLE]
The term can be estimated similarly. Finally, has beed estimated in (3.4), and the term can be estimated using similar argument. Hence, the bound (3.30) follows.
Second, we prove (3.31) and (3.32). The bound (3.31) can be obtained directly from (3.30), (2.9) and (2.11). Then we prove the bound (3.32). In view of (2.9), it suffices to prove that
[TABLE]
Here we only estimate the first term in detail, the other terms in (3.34) are similar.
Case 1: .
If , using (3.28) and (2.11), it follows that
[TABLE]
If , it follows from (3.2) and (3.30) that
[TABLE]
Case 2: .
Using (3.29), (3.2), (3.30) and (2.11), we get
[TABLE]
From the above two cases, the bound (3.34) for the first term follows. This completes the proof of the Lemma.
∎
4. Energy estimates
In this section we prove the energy bounds (2.13).
4.1. The bound on and
We start with the Sobolev bound in (2.13).
Proposition 4.1**.**
With the notation and hypothesis in Proposition 2.8, for any , we have
[TABLE]
Proof.
From (1.7) and (1.14), the operator can be defined as
[TABLE]
Then we define the energy functional
[TABLE]
Recall the system (1.10), we have
[TABLE]
Next, we begin to estimate the right-hand side of (4.1) and finish the proof of the proposition.
*Step 1: We prove the bound *
[TABLE]
Using integration by parts, Sobolev embedding, (2.11) and (3.2), it follows that
[TABLE]
Step 2: We prove the bound
[TABLE]
Integration by parts in time gives
[TABLE]
By (3.2), (3.17) and , the first two terms can be estimated by
[TABLE]
For the third term, it follows from (1.10) that
[TABLE]
By integration by parts in , (2.11), (3.17) and (3.2), we have
[TABLE]
Similarly, using , (2.11), (3.17) and (3.2) it’s also easy to obtain
[TABLE]
and
[TABLE]
Finally, by integration by parts, (2.11) and (3.28) we have
[TABLE]
Hence, the desired bound (4.3) follows.
Step 3: We prove the bound
[TABLE]
By integration by parts, we have
[TABLE]
The term can be estimated directly using (2.11). From , can be further rewritten as
[TABLE]
From this and (3.28) we obtain
[TABLE]
The bound (4.4) is obtained.
Step 4: We prove the bound
[TABLE]
In fact, this is a consequence of
[TABLE]
which is given by (3.3).
From (4.2)-(4.5) and the assumption (1.11), we have
[TABLE]
which completes the proof of the Proposition.
∎
4.2. The bound on and
4.2.1. The bound on
Proposition 4.2**.**
With the notations and hypothesis in Proposition 2.8, for any , ,
[TABLE]
Proof.
We prove the bound (4.6) by induction. From Proposition 4.1, we assume that
[TABLE]
Define the energy functional
[TABLE]
It follows from (2.9) that
[TABLE]
For , by integration by parts, Hölder and (4.7), we have
[TABLE]
For , from (2.11) and Hölder inequality we have
[TABLE]
In order to estimate , it suffices to prove that
[TABLE]
If , by (2.6), (3.3) and (3.17) we have
[TABLE]
If , by (2.5) and (3.3) we have
[TABLE]
And if , by (3.17) and (2.11) we have
[TABLE]
Then using integration by parts, the above three bounds, Hölder and (2.11), we obtain the bound (4.8), and hence conclude the estimate of .
Finally, in order for and it suffices to prove that
[TABLE]
which is obtained by integration by parts, (3.4), Hölder and (2.11). Hence, this concludes the estimates of and .
As a consequence of the above estimates of and (1.11), we have
[TABLE]
which implies
[TABLE]
This completes the proof of the Proposition. ∎
4.2.2. The bound on
Proposition 4.3**.**
With the notation and hypothesis in Proposition 2.8, for any , ,
[TABLE]
Proof.
Define the energy functional
[TABLE]
Using the -equation in (2.9) we calculate
[TABLE]
*Step 1: We prove the bound *
[TABLE]
By and integration by parts, can be rewritten as
[TABLE]
First, we estimate . When , from (3.17) and Sobolev embedding we have
[TABLE]
When , by (3.17) and (3.2) we have
[TABLE]
Second, we estimate when . (3.2) and (2.11) imply that
[TABLE]
Finally it remains to prove that when ,
[TABLE]
We decompose dyadically in frequency and rewrite the functions , in terms of the variables , , it suffices to estimate
[TABLE]
for any , , . By and , we have
[TABLE]
Then denote
[TABLE]
we obtain from (4.14)
[TABLE]
Case 1: Low-high, i.e .
Integrating by parts in , we have
[TABLE]
Then estimating in and the other two terms in , it follows from Lemma 2.4 that
[TABLE]
Then by (2.11), (2.12) and (2.7) we get
[TABLE]
Case 2: High-low and high-high, i.e .
Since the phase in (4.13) doesn’t equal to zero, by integration by parts in times, it suffices to prove that
[TABLE]
where
[TABLE]
and
[TABLE]
To prove the bound (4.15), we need the norm of symbol . By Lemma 2.3, we have
[TABLE]
Case 2.1: The contribution of .
We estimate the lowest frequency factor or in and the other two factors in , using (4.16), Hölder and (2.11) we have
[TABLE]
Case 2.2: The contribution of and .
When , by (4.16), (3.31), (3.32) and (3.2), one obtain
[TABLE]
When , from (4.16), (3.32) and (3.2) it follows that
[TABLE]
Then the other cases, i.e. can be estimated, using (3.32) and (2.11),
[TABLE]
Similarly, by (4.16), (3.32) and (2.11), we have
[TABLE]
By Hölder, the bound (4.15) for and follows.
Case 2.3: The contribution of .
The contribution of the triplets with can be estimated using (3.29), i.e
[TABLE]
Then we consider when . If , we obtain from (4.16), (3.29) and (2.11)
[TABLE]
If , by (4.16), (2.11), (3.30) and (3.2), we have
[TABLE]
These imply the bound (4.15) for . Then the bound (4.15) is obtained, and hence we obtain the bound (4.12).
Step 2: We prove the bound
[TABLE]
Notice that when , (3.29) implies
[TABLE]
and when , (3.30) and (3.2) give
[TABLE]
Therefore,
[TABLE]
Now it suffices to prove that
[TABLE]
can be divided into three terms, i.e.
[TABLE]
We estimate respectively. Firstly, we consider the term . Integrating by parts, we have
[TABLE]
Using (3.2) and (3.31), it follows that
[TABLE]
Second, we consider the term . If , it follows from (3.2) and (3.30) that
[TABLE]
If , from (3.29) and (3.2) we have
[TABLE]
Using these it follows that
[TABLE]
Finally, we consider the term . When , , using (3.30) and (3.2), it’s easy to obtain
[TABLE]
When , , using (3.29), it follows that
[TABLE]
If , by (3.29), (3.30) and (3.2), we have
[TABLE]
By the above bounds, we get
[TABLE]
Hence, from (4.18)-(4.20), we have
[TABLE]
This completes the proof of the bound (4.17).
*Step 3. We prove the following two bounds *
[TABLE]
By , we rewrite as
[TABLE]
The first term in the right hand side of (4.22) can be estimated using and (3.30),
[TABLE]
The other three terms in (4.22) can be estimated similarly by Hölder and (2.11). The bound (4.21) for can be estimated directly, using (3.2) and (3.3). Hence, the desired bound (4.21) follows. This completes the proof of the Proposition. ∎
5. Bounds on the profile: weighted norms
In this section we prove (2.14), namely,
Proposition 5.1**.**
With the hypothesis in Proposition 2.8, for any , , we have
[TABLE]
Proof.
[TABLE]
Then it suffices to estimate the last term in the right-hand side of (5.2). Using -equation in (2.9) and (2.10), it suffices to prove
[TABLE]
for , , and
[TABLE]
for , .
Step 1: Proof of (5.3).
When , , by (3.6) and (3.2), we have
[TABLE]
When , , using (3.29), it follows that
[TABLE]
When , we obtain from (3.6), (3.2) and (3.29)
[TABLE]
Hence, the bound (5.3) follows.
Step 2: Proof of (5.4). If . (3.2) implies
[TABLE]
Now it suffices to consider the case .
Decomposing dyadically in frequency, we have
[TABLE]
where
[TABLE]
We further divided into high-low, low-high, high-high case,
[TABLE]
where
[TABLE]
Step 2.1. The contribution of . Integration by parts in yields
[TABLE]
When , by Lemma 2.4, (2.11), (2.12) and (3.7) we have
[TABLE]
When , it follows from (2.11), (2.12) and (2.7) that
[TABLE]
Therefore, we have
[TABLE]
Step 2.2: The contribution of and . We only give the bound , is estimated similarly. Integration by parts in , it follows that
[TABLE]
Then by Lemma 2.4, (2.11), (2.12) and (2.7), we have
[TABLE]
From (5.8) and (5.9), the bound (5.4) for is obtained immediately. This completes the proof of (5.4).
Step 3: Proof of (5.5).
When , using (3.13) and (3.2), we get
[TABLE]
When , by (3.13), we have
[TABLE]
Hence, the bound (5.5) follows.
Finally, the bound (5.6) is an consequence of (3.2) and (3.3). This completes the proof of the proposition. ∎
Appendix A Deriving the system (1.10), (1.13) and (2.9)
A.1. Deriving the systems (1.10) and (1.13) from (1.6)
Step 1: we derive the following system from (1.6)
[TABLE]
where the two order linear operator is defined by
[TABLE]
Firstly, we proceed to derive the equations satisfied by . From the third component of -equation in (1.6) and (1.9), by directly computation we have
[TABLE]
After taking the first component of -equation of the system (1.6), by (A.2) we obtain
[TABLE]
Hence, the -equation in (A.1) follows.
Now we derive the -equation in (A.1). By (1.9), the -th, component of in the first equation of the system (1.6) can be rewritten as
[TABLE]
Since the orientation field is near . By (1.9) and Taylor series expansion we have
[TABLE]
and
[TABLE]
Then for , from the above two expression we obtain the linear term
[TABLE]
the quadratic terms
[TABLE]
and the error terms
[TABLE]
where
[TABLE]
Thus the -equation in (A.1) follows, and hence we obtain the system (A.1).
Step 2: We derive the -equation in (1.13) from -equation in (A.1).
Applying the Leray projection to -equation in (A.1), we obtain
[TABLE]
where is a two order operator, i.e
[TABLE]
By , we further have
[TABLE]
In order to diagonalize -equation (A.4), let
[TABLE]
where the operator is
[TABLE]
From the definition of , we can recover by
[TABLE]
Then applying to (A.4), we obtain
[TABLE]
Using Fourier transformation, the operator can be rewritten as
[TABLE]
Thus the -equation in (1.13) follows.
A.2. Deriving the system (2.9)
By the standard argument, from (A.1) we can derive that
[TABLE]
then by , and the same argument as Step 2 in Appendix A.1, applying to -equation in (A.7), the system (2.9) is obtained.
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- 4[4] F. De Anna and A. Zarnescu, Global well-posedness and twist-wave solutions for the inertial Qian-Sheng model of liquid crystals. J. Differential Equations 264 (2018), no. 2, 1080–1118.
- 5[5] J. L. Ericksen, Continuum theory of nematic liquid crystals. Res. Mechanica 21 , (1987), 381-392.
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