Vanishing viscosity limit to vortex sheet for the isentropic compressible circularly symmetric 2D flow
Helong Lu

TL;DR
This paper rigorously analyzes the vanishing viscosity limit of 2D isentropic compressible flow with vortex sheets, showing approximation by inviscid flow away from boundaries and identifying vortex layers near boundaries.
Contribution
It provides a rigorous justification of the asymptotic behavior of solutions in the small viscosity limit for compressible flows with vortex sheets, including boundary layer analysis.
Findings
Inviscid flow approximates viscous flow away from boundaries.
Vortex layers form near the boundary for angular velocity.
Radial velocity and pressure do not develop boundary layers.
Abstract
In this paper, we consider the small viscosity limit problem for the isentropic compressible Navier-Stokes equations in a 2D exterior domain with impermeable boundary conditions , and the corresponding Euler equations have vortex sheet solutions.We obtain that away from the boundary and the contact discontinuous the isentropic compressible viscous flow can be approximated by the corresponding inviscid flow, near the boundary (the contact discontinuous) there is a boundary layer (vortex layer)for the angular velocity in the leading order expansion of solution, while the radial velocity and the pressure do not have boundary layers (vortex layers) in the leading order. We rigorously justify the asymptotic behavior of solutions in the space for the small viscosities limit in the Lagrangian coordinates.
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Taxonomy
TopicsNavier-Stokes equation solutions · Computational Fluid Dynamics and Aerodynamics · Advanced Mathematical Physics Problems
Vanishing viscosity limit to vortex sheet
for the isentropic compressible
circularly symmetric 2D flow
Abstract.
In this paper, we consider the small viscosity limit problem for the isentropic compressible Navier-Stokes equations in a 2D exterior domain with impermeable boundary conditions , and the corresponding Euler equations have vortex sheet solutions. We obtain that away from the boundary and the contact discontinuous the isentropic compressible viscous flow can be approximated by the corresponding inviscid flow, near the boundary (the contact discontinuous) there is a boundary layer (vortex layer)for the angular velocity in the leading order expansion of solution, while the radial velocity and the pressure do not have boundary layers (vortex layers) in the leading order. We rigorously justify the asymptotic behavior of solutions in the space for the small viscosities limit in the Lagrangian coordinates.
key words. boundary layer, vortex sheet, vortex layer, compressible viscous flows, circularly symmetric
Key words and phrases:
Helong Lu
1. Introduction
We consider the compressible viscous flow in 2-D domain.
[TABLE]
where , and denote the fluid density, the pressure and the velocity, respectively; and are constants viscosity coefficients, and .
Let , and suppose that the flow is occupied in , .
and the boundary condition
[TABLE]
We are interested in the asymptotic behavior of the flow described by the problem (1.1)-(1.2),when the viscosity coefficients tends to zero. Formally let , we have Euler system:
[TABLE]
and there isn’t any constraint on the tangential velocity field on the boundary for the compressible inviscid flow. Thus, it is quiet different from the boundary conditions (1.2) for viscous flow. This kind of inconsistent boundary conditions between the viscous flow and the inviscid flow gives rise to a very thin layer near the boundary for the small viscosities limit,and this layer is known as the boundary layer,in which the behavior of flow changes dramatically. To study the behavior of boundary layers is a very interesting and classical problem in the fluid mechanics.
the boundary layer problem for incompressible flow with nonslip boundary condition was studied by Prandtl first in 1904. Prandtl [19] studied the small viscosity limit for the incompressible Navier-Stokes equations with the nonslip boundary condition and formally derived that the boundary layer is described by a degenerate parabolic-elliptic coupled system which is so-called Prandtl equations. There have been many interesting results on the well-posedness or ill-posedness of the Prandtl equations, one can see [1, 3, 4, 6, 7, 8, 17, 18, 31] ,for instance, and there also some works devoted to the validity of boundary layer theory, see [16, 22, 23, 26], for instance.
There are a few results about the small viscosity limit for the compressible flow, as it is even more complicated than the incompressible case, see [13, 30, 28, 20, 27].
We are interest in circularly symmetric solution of the form:
[TABLE]
where denote the radial and angular component of the velocity,respectively; and the compressible inviscid flow admits a vortex sheet solution.
For the inviscid flow containing shock or rarefaction waves, see [5, 12, 29, 32, 33, 34],for instance. In the case that the solutions to the Euler system containing contact discontinuity is much more subtle, see [9, 10, 14], for instance. Here we consider the compressible inviscid flow admits a vortex sheet solution, but ignore the initial layer by construct a special initial smooth data for the viscous flow.
This paper is organized as follows. First, in section 2, we prove the local existence of vortex sheet, and then in section 3, we rewrite the problem in lagrangian coordinates and then formally derive asymptotic expansions of solutions w.r.t. and deduce problems of outer expansion profiles, boundary layer profiles and vortex layer profiles by multi-scale analysis. in section 4, we give the well-posedness of problems for boundary layer profiles, vortex layer profiles and outer expansion profiles of solutions. In section 5, we study the stability of vortex layers and boundary layers, and then rigorously justify the asymptotic expansions for the small viscosity limit.
2. local existence of vortex sheet
We rewrite the equation (1.1) in circularly symmetric form:
[TABLE]
Formally we have the compressible inviscid flow, described by the Euler system:
[TABLE]
At first we consider the system (2.2) admits a piecewise smooth solution.Then (2.2) can written as the balance laws
[TABLE]
For a piecewise smooth solution of (2.3) :
[TABLE]
on the front , the Rankine-Hugoniot conditions holds:
[TABLE]
where the bracket stands for the jump of the associated function across the front.
Suppose that , on , i.e., no mass transfer flux across the front, this corresponds to vortex sheet, on the front
[TABLE]
Therefore, we have the following free boundary problem:
[TABLE]
In order to study the local existence of vortex sheet, first using the following coordinate transform to straighten the free boundary.
[TABLE]
Let , , drop the tildes, then
[TABLE]
where ,
[TABLE]
and the corresponding compatibility conditions holds.
For the problem (2.5), we take the following iteration scheme:
[TABLE]
starting with , and where .
If we prove is a Cauchy sequence and uniformly bounded in norm, then the system (2.5) has a unique solution.
We shall adapt Corli’s idea [2] to prove this result.
So, we consider the linearized problem:
[TABLE]
where
We know that the eigenvalues of are
[TABLE]
then the corresponding right eigenfunctions are:
[TABLE]
Let, we got
[TABLE]
Let , since , then we have:
[TABLE]
where , , .
In order to consider the problem (2.8),we first consider the diagonal linear problem
[TABLE]
We assume that two compatibility conditions hold for (2.9).
Denote by the characteristic curve of the operator passing through at time i.e.,
[TABLE]
We denote
[TABLE]
where .
We can now write the explicitly solution of (2.9), so in
[TABLE]
In
[TABLE]
we have used the boundary condition on , and is the unique root of for any fixed .
In
[TABLE]
where
Then we have the following results.
Proposition 2.1**.**
Let be some family of functions bounded in , respectively, where , for some ;assume that the corresponding compatibility condition holds. Then problem (2.9) has a unique solution bounded in , and such that
[TABLE]
for some constant C. Where denote the norm.
Corollary 2.2**.**
Under the assumption of Proposition 2.1, assume that and the corresponding compatibility conditions hold. Let be some functions in , and take
[TABLE]
Then the solution to (2.9) is in .
Proof.
The idea can be given in [11], for completeness we sketch the idea in the following way. Since the second factor in is the derivative of along the i-characteristic direction. From (2.10)-(2.12), the representation of the components of solution can be classified into 2 forms:
- (i)
2. (ii)
where is function.
one suitably integrates by parts and find the derivatives of through the form .i.e.,
[TABLE]
In the same way one finds . Similarly, one can check the smoothness for the form . ∎
Proposition 2.3**.**
Let as in Proposition 2.1, and the corresponding compatibility condition holds. Then problem (2.7) has a unique solution bounded in ,and there exists some constant such that
[TABLE]
where , denote the norm.
Proof.
We diagonal the system through the change variables . This system became as problem (2.8). In order to solve problem (2.8) we consider the iterative scheme
[TABLE]
starting with . In view of Proposition 2.1, for each we can find a solution to problem (2.14),and
[TABLE]
From this estimates it is easy to prove that the sequence is a Cauchy sequences in , and its limits is solution to (2.8). Therefore we have found a solution to (2.7), and (2.13) holds. ∎
Now, we pass to solutions; we consider again the problem
[TABLE]
Proposition 2.4**.**
Let be some families of functions and assume that they are bounded in , respectively, for some Moreover assume that two compatibility conditions are satisfied. Then problem (2.15) has a unique solution bounded in , satisfies (2.13) and
[TABLE]
for some constant C and M.
Proof.
we have proved ,under the present assumptions we see that data entering in (2.14) are continuous differentiable functions. while is barely continuous, However in view of the particular form of , we can apply the corollary 2.2 and deduce that is continuously differentiable for each .
the next step consists in proving that the sequence is bounded in and then the sequence is equicontinuous. By induction on n that the sequence is bounded in , using the moduli of continuity of these functions, we can get the equicontinuity of . Then Ascoli’s theorem applies and existence of a solution to (2.15) is proved.
Then we prove the estimates. Let , we define , then is weak solution to
[TABLE]
where defined by
[TABLE]
using the Proposition 2.2.3 in [2], (2.16) holds.
∎
Remark 1**.**
Continuing this process, we can get the piecewise solution of the original problem (2.5)when the initial data in the same space, and the corresponding compatibility conditions holds.
3. The problem and asymptotic expansions of solutions
3.1. The problem in the Lagrangian coordinates.
As in [13], it is convenient to transform the system (2.1) to that in Lagrangian coordinates, by rewriting the conservation law of mass as
[TABLE]
we then introduce the Lagrangian coordinates with satisfying
[TABLE]
We know that the coordinates transformation from to , is reversible provided that . Actually, we obtain that
[TABLE]
or
[TABLE]
where
[TABLE]
Conversely, for the transformation from to , we have that satisfies
[TABLE]
Then, we obtain that
[TABLE]
where with being the inverse function of given in (3.4), since as a function of is invertible provided that .
Note that , which implies that
[TABLE]
Denote by and For simplicity, we shall drop the tildes of notation in the following calculations. Then
[TABLE]
We know that
[TABLE]
satisfies the following problem in the domain
[TABLE]
with
Where
[TABLE]
[TABLE]
are quadratic forms defined as follows:
[TABLE]
It is known that the characteristics of the system (3.9) are
[TABLE]
where .
We have the following property of the initial data :
[TABLE]
where
[TABLE]
, and be smooth function satisfies
Assumption 3.1**.**
There exist positive constants , and , such that
[TABLE]
3.2. Asymptotic expansions
As in [20] we know that in the characteristic case, the size of the boundary layer is , so for the solutions to the system (3.9), we take the following ansatz when goes to zero:
[TABLE]
Let’s explain the idea of how to determine the profiles for each and the detailed calculations will be given in the following subsections. We plug the (3.15) into the problem (3.9), and then when tends to zero and the spatial variable for a fixed , we let and (3.9) becomes a problem depending only on whose solution denoted by
Next ,when , , and by using the expansion
[TABLE]
(3.9) becomes a problem depending only on whose solution denoted by .
When , , and by using the expansion
[TABLE]
(3.9) becomes a problem depending only on whose solution denoted by . In this way the leading order profile given in (3.15) in the form of
[TABLE]
with being fast decay in , respectively.
Then from (3.9) and the problems of , we derive the problem of
[TABLE]
Studying the problem of in the same way as above, one can deduce that
[TABLE]
Continuing the above process, for we can obtain
[TABLE]
and the problems of and with being rapidly decreasing when , respectively, provided all functions involved are smoothing enough. So we have the following form for (3.15):
[TABLE]
From the boundary conditions given in (3.9), we deduce that satisfy
[TABLE]
we also have the following expansion for the coordinate transformation function :
[TABLE]
where
[TABLE]
[TABLE]
3.3. derivation of problems of profiles
Now we derive the problems for profiles . Before this, we introduce notations for all ,
[TABLE]
which later will be used frequently.
Plugging (3.18) into (3.9), and using above expansions, we get
[TABLE]
where . By a direct calculation, we obtain each term in (3.24). More precisely, for ,
[TABLE]
The terms of the expansion in (3.24) for are
[TABLE]
where for a smooth function satisfying .
Similarly, for the terms in (3.24) with , we have
[TABLE]
where
[TABLE]
and
[TABLE]
[TABLE]
and similarly with .
Now we derive the problem of profiles , by discussing the equations for each
Problems of the leading order profiles. Discussion of the equation . From the equation , we obtain
[TABLE]
which imply then we know that the leading term of boundary layers of the radial velocity and the pressure doesn’t appear.
Similarly, from the equation , we obtain
Discussion of the equation , combining (3.30) with the boundary conditions (3.19) yields
[TABLE]
Then from, it follows that satisfies the following problem
[TABLE]
We endow the problem of with the initial data , that is,
[TABLE]
and the zeroth compatibility condition holds.
[TABLE]
Thus, we know that the leading term of outer flow satisfies the compressible Euler equations in Lagrangian coordinates with the radial velocity vanishing on the boundary.
Discussion the equation . From the expansion of and noting that we get
[TABLE]
Then by using (3.30) and (3.32), the equation can be simplified as
[TABLE]
we get
[TABLE]
Then the profile of :
[TABLE]
The boundary conditions of as follows:
[TABLE]
Here we endow the problem of with zero initial data,i.e.,
[TABLE]
so that the zeroth compatibility conditions holds:
[TABLE]
Thus we get the boundary layer profile satisfies the initial boundary value problem.
[TABLE]
From the equation
[TABLE]
then from equation and , we obtain , and satisfies
[TABLE]
where be smooth function and satisfies .
Problems of the O()-order profiles. We study the equation . As we already have determined , then using (3.19) we have the boundary condition of ,
[TABLE]
Thus from we know that satisfies the following linear problem in the domain :
[TABLE]
From we get that satisfy
[TABLE]
where
[TABLE]
and
similarly
[TABLE]
Problems of the other order profiles. Continuing above process to study the equations . For all , are solutions to linearized Euler equations similar to (3.32) with the boundary condition , and satisfy the linearized parabolic problems similar to that , respectively.
3.4. Conclusion
As mentioned above, we conclude are follows:
Conclusion The solution to the problem (3.9) formally admits the following asymptotic expansion:
[TABLE]
for rapidly decaying in ,respectively, where for ,
[TABLE]
And we have the following properties:
- (i)
satisfies the following initial boundary value problem for the compressible Euler equations in :
[TABLE]
and satisfies the following problem for the linearized compressible Euler equations in :
[TABLE]
For all are solutions to the linear problems similar to (3.48) with the boundary condition ; 2. (ii)
The leading boundary layer profiles satisfies that
[TABLE]
and the following boundary value problem of nonlinear parabolic equations:
[TABLE]
For the next order profile .
and satisfies the following linearized problem of (3.50):
[TABLE]
where given as before, and is given by
[TABLE]
For each , the profiles satisfy linear problems similar to ; 3. (iii)
the leading vortex layer profile satisfies that
[TABLE]
and the following boundary value problem of nonlinear parabolic equations:
[TABLE]
where be smooth function and satisfies
For the next order profile . and satisfies the following linearized problem:
[TABLE]
where
[TABLE]
and given by
[TABLE]
For each , the profiles satisfy linear problems similar to .
4. study on the profiles
In this section, we study the well-posedness of problem of profiles derived in section 3.
4.1. well-posedness of the problem of
From the Conclusion, we know that that the leading term of outer flow satisfies the following nonlinear initial-boundary value problem in the domain :
[TABLE]
One can see that the equations in (4.1) are the compressible Euler equations in the Lagrangian coordinates.
To study the problem (4.1), let’s first consider the following nonlinear problem of in the Eulerian coordinates:
[TABLE]
where
[TABLE]
[TABLE]
It is not difficult to show the boundary conditions given in (4.2) is sufficient to solve this problem.
Thus,provided that the initial data satisfies that
[TABLE]
with positive constant given as before,
[TABLE]
and the compatibility conditions of (4.2) holding up to order , we know that ,then from the section 2 we know the solution . So we know the value of solution on free boundary, then straighten the free boundary, and using the symmetric hyperbolic theroy, there exists a and a unique solution to equation (4.2) such that,
[TABLE]
and One can refer to [15] or[25], for instance, for the proof of this result.
Now, we introduce the lagrangian coordinates in the problem (4.2) by the relation
[TABLE]
where and is the inverse function of
[TABLE]
By using the argument similar to that given at beginning of section 3, we know that the transformation from to is reversible and is a solution to (4.1). Moreover, by combining (3.21) with (4.3),it follows that
[TABLE]
So we have the following result
Proposition 4.1**.**
Let the initial data satisfy Assumption, and with being positive constant given before, and being an integer. Also, the compatibility conditions of (4.1) hold up to order . Then there exists a and a unique solution to (4.1) such that
[TABLE]
Moreover, we have .
4.2. study on the profile
As in Conclusion,the key point of determining the profile is to study the equation (3.50).
The idea is similarly with [13], so we sketch the idea We first construct an auxiliary function to homogenize the boundary conditions. More precisely, let be smooth and satisfies
[TABLE]
and .
Setting
[TABLE]
we know that satisfies the following problem in
[TABLE]
since , we know By using the results of given in proposition 4.1, we know that there exists a positive constant such that
[TABLE]
and Moreover, for a positive constant and for all ,
[TABLE]
with
The main result of this section is as follows.
Proposition 4.2**.**
For the problem (4.7), there exists a and a unique solution to (4.7) such that
[TABLE]
and for all the estimate
[TABLE]
holds for a positive constant . Moreover if and
[TABLE]
we get
[TABLE]
Proof.
(1) we are going to estimate the weighted estimate of . Multiplying (4.7) by and integrating over with respect to ,we get
[TABLE]
since
[TABLE]
using the Gronwall inequality there exists a positive constant such that
[TABLE]
(2) we want to get the weight estimate of . Multiplying (4.7) by and integrating over with respect to , it follows by integration by parts that
[TABLE]
using
[TABLE]
and
[TABLE]
Thus we have
[TABLE]
since
[TABLE]
and
[TABLE]
then using Gronwall inequality there exists a positive constant , such that
[TABLE]
(3)When and
[TABLE]
applying the operator to the problem (4.7) yields
[TABLE]
Though the same argument as above, there exist a positive constant , such that
[TABLE]
Moreover it implies .
Next by applying the operator to the equation (4.7) and using arguments similarly to those above, we can get
[TABLE]
and the corresponding estimates of the solution in these spaces.
(4) recall from (4.7) that
[TABLE]
using the results of the third step , we know that
[TABLE]
Then applying the operator to (4.13) and combining (4.14) yields
[TABLE]
Continuing this process, we finally can get
[TABLE]
∎
Hence we obtain similar results for the original problem (3.50) of immediately by using Proposition 4.2. Indeed combining Proposition 4.1 we conclude the following.
Proposition 4.3**.**
Under the assumption of Proposition4.1, and for the parameters and s given in Proposition 4.1, we choose the initial data of problem (4.1) such that the compatibility conditions of (3.50) hold up to order . Then for the problem (3.50), there exists a and a unique solution to (3.50) such that for all ,
[TABLE]
4.3. study on the profiles
As showing in conclusion the next profile of out flow satisfies the following linear problem in :
[TABLE]
First, we observe that (4.15) is a symmetrizable hyperbolic system. Indeed by letting
[TABLE]
we have
[TABLE]
Then by applying the classical theory of symmetrizable hyperbolic system (cf, [15],[25]) for the problem (4.15), and using boundary data . there exists a unique solution to (4.15) such that
[TABLE]
Moreover by using the the equation given in (4.15) we get that
[TABLE]
Here we also need to the choose the initial data of the problem (4.6), such that the compatibility conditions of (4.1) hold up to order .
For the profile , from the Conclusion, we know that satisfy that the following linear problem in
[TABLE]
where given as before.
The problem (4.18) is a classical linear parabolic type for . So by using the argument similar to that given in subsection 4.2, we can obtain the following weight estimates for
[TABLE]
which is immediately implies the boundedness of from (3.44),
[TABLE]
Continuing this process for , we finally obtain that under the assumption of Proposition 4.1,
[TABLE]
and
[TABLE]
[TABLE]
for all . Here the initial data of the problem (4.1) is chosen such that the compatibility conditions of the corresponding problems holds.
4.4. study on the profile
We first construct an auxiliary function . More precisely, let be smoothness and satisfies
[TABLE]
and .
So we get
[TABLE]
Setting
[TABLE]
.
From (3.41) we know that satisfies the following problem in
[TABLE]
using the similarly argument of , we obtain the following estimate for
[TABLE]
Remark : here has no decay at but has.
Then we finally obtain that
[TABLE]
[TABLE]
for all .
5. Stability of approximate solutions
From above sections , we know that if the initial data satisfies Assumption, be piecewise with for a fixed integer , given as before, and the compatibility conditions hold for problems of profiles , then defined by
[TABLE]
is an approximate solution to the problem (3.9) for , in the sense that
[TABLE]
where in the coefficient matrix of ,
[TABLE]
and the source term satisfies
[TABLE]
Moreover, recall Assumption, there exists a positive constant, and we still denoted by , such that
[TABLE]
and we have
[TABLE]
for a positive constant .
Remark 2**.**
we can prove that , only need to check that and has no jump at .
From the equations of profile , and boundary condition (3.19), we know that, at :
[TABLE]
The main result of the paper is the following one.
Theorem 5.1**.**
Let the initial data satisfies Assumption, be piecewise with . Let be an approximate solution to the problem (3.9) given in (5.1) and satisfy (5.2) with (5.3) holding for . Then there exists independent of such that there exists a unique solution to (3.9) such that and
[TABLE]
Moreover, we have
[TABLE]
Remark 3**.**
Since , so we neither assume that the strength of layers suitable small, nor introduce the weighted norm as in [13].
We shall follow the authors’ idea [13] to prove this theorem.
5.1. Estimate of errors
For the approximate solution given in (5.1), denote by , and let
[TABLE]
we will derive the problem of the error and then study estimates of by the energy method. From (3.9) and the problem (5.2), we know that satisfies the following problem:
[TABLE]
where
[TABLE]
and , with
[TABLE]
The local existence and uniqueness of a smooth solution to (5.6) is followed by the classical theory; see [21, 24], for instance. So the main task to prove the Theorem is to show the estimate (5.4), Once (5.4) is proved, the estimate (5.5) follows immediately by using Sobolev embedding theorem.
Define
[TABLE]
where
[TABLE]
and , will be chosen later; the notation denotes the standard norm in the x-variable.
To prove that , it suffices to check by the an energy estimate that we cannot have . So the main idea of the proof is to deduce that the following energy estimate for the solution of (5.6):
[TABLE]
where is a constant independent of and . Once (5.8) is proved , Theorem follows by a classical argument.
As , by using the Sobolev embedding, we have for and ,
[TABLE]
Using this a priori bound, let us estimate the term given in (5.6), using the same process as in [13]. First we rewrite as
[TABLE]
where
[TABLE]
Thus, for and for all with fixed , denote by we have
[TABLE]
As we know that, it follows that
[TABLE]
for a constant independent of . Thus,using the spacial structure of and the above estimate, we have
[TABLE]
where stands by the first component of . In the above estimates and the following calculations, we denote by and generic numbers,possibly large,which do not depend on and .
Note
[TABLE]
Then the following estimates holds:
Lemma 5.2**.**
Under the assumption of Theorem 5.1, let be the solution to (5.6), and given in (5.7). Then, the following estimate of the source term given in (5.6) holds for all :
[TABLE]
where is a positive constant independent of and .
We split the proof of Theorem5.1 in various lemmas. we observed the following fact first.
Proposition 5.3**.**
There exists a positive definite symmetric matrix such that
the matrix is symmetric,
the matrix is symmetric and there exists a positive constant such that
[TABLE]
where stands for for any vector .
It is easy to check that the matrix
[TABLE]
is the desired one which satisfies the above proposition.
Lemma 5.4**.**
The matrix is positive definite, and is symmetric for some state , if and only if there exist a matric composed of the left eigenvectors of with , such that where , are eigenvalues of .
Lemma 5.5**.**
Under the assumption of Theorem 5.1, there exist positive constant and independent of and , such that the solution to (5.6) satisfies the estimate for ,
[TABLE]
Proof.
Notice the special structure of the matrix , the third component can be estimated first. The remained components of denoted by . Correspondingly, the associated components of denote by .
From the problem (5.6), we know that satisfies the following initial-boundary value problem:
[TABLE]
where is the third component of given in(5.6). Multiply (5.11) by and integrate the resulting equation with respect to variable over to obtain that
[TABLE]
It is easy to have
[TABLE]
where and is independent of . And
[TABLE]
for a constant independent of . Then
[TABLE]
by using Gronwall inequality that
[TABLE]
To estimate , from the problem (5.6) we have the following initial-boundary value problem :
[TABLE]
where are the terms given in (5.6) but without the third component, and
[TABLE]
In the lemma 5.6 below we will show that there exists a positive constant independent of and , such that the solution to (5.16) satisfies the following estimate for :
[TABLE]
Combining (5.15) with (5.17), one can obtain (5.10) when is properly small. ∎
Next we try to verify the estimate(5.17). We observe that Proposition 5.3 still holds for the matrixes given in problem (5.16) with respect to the symmetrizer
[TABLE]
Denote every function by , and the left,right eigenvectors of by respectively, with the normalization .
Set and . then we have
[TABLE]
To estimate diagonalize the equation of (5.16) by setting in (5.16) and get
[TABLE]
By using (5.18) we have the following result, which can be used to obtain the estimate (5.17).
Lemma 5.6**.**
Under the assumption of the Theorem 5.1, there exist positive constants , independent of and , such that the solution to problem (5.16) satisfies the estimate for all ,
[TABLE]
Proof.
Multiplying (5.18) by and integrating the resulting equation with respect to in , obtain that
[TABLE]
Each term in above can be treat as follows.
[TABLE]
then
[TABLE]
Next we consider the term
[TABLE]
It remains to estimate the term .
[TABLE]
It is easy to have
[TABLE]
then we get (5.19) by choosing small. ∎
To close an energy estimate from (5.10), the term need to be control. This is the aim of following lemma.
Lemma 5.7**.**
Under the same assumption as in Theorem 5.1, for any , there exists a constant , independent of and , such that for all ,
[TABLE]
Proof.
At first, we take the derivative of the first equation of (5.6) with respect to the spacial variable , this yields
[TABLE]
and then, by using the second equation of the system(5.6) to express , obtain that
[TABLE]
and hence we get
[TABLE]
We take the scalar product of (5.24) with get that
[TABLE]
It remains to estimate the term Since
[TABLE]
where the last equation holds by . Thus, using obtain that ,
[TABLE]
Then
[TABLE]
Finally, we get (5.21) by combining (5.25) with (5.26) ∎
Because of (5.21), we need to estimate .
Lemma 5.8**.**
Under the same assumption as given in Theorem 5.1, there exists a positive constant , independent of and , such that for all ,
[TABLE]
Proof.
Multiplying on both side of the equations (5.6),then
[TABLE]
According to the special structure of and , using an integration by parts that
[TABLE]
Therefore, (5.27) obtained by plugging (5.28) into (5.29) and using Proposition 5.3 ∎
5.2. End of the proof of Theorem 5.1
At this stage, we have all the elements need to prove Theorem 5.1.
First, by adding (5.21) to and choosing small,
[TABLE]
for a constant . Second, by calculating
[TABLE]
Note that
[TABLE]
So, we have
[TABLE]
Thus choose small satisfying and , combining(5.30) and (5.31) obtain that
[TABLE]
with
To conclude Theorem 5.1, from (5.9) and (5.33), it remains to estimate , we just use the equation (5.6), we have
[TABLE]
Thus, by substituting (5.9) and (5.33) into (5.34) deduced that
[TABLE]
Hence, for and small , we have
[TABLE]
where is independent of and . Last, by using Gronwall inequality, we obtain that
[TABLE]
Noting that
[TABLE]
and then, from the estimate (5.4), using Sobolev embedding theorem, we obtain (5.5) and complete the proof of Theorem 5.1.
Acknowledgments
The authors would like to thank Q. Zhao and C.J. Liu for stimulating discussions.
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