Contact discontinuities for 3-D axisymmetric inviscid compressible flows in infinitely long cylinders
Myoungjean Bae, Hyangdong Park

TL;DR
This paper proves the existence of subsonic axisymmetric solutions with contact discontinuities, vorticity, and swirl in 3D steady Euler flows within infinitely long cylinders, using Helmholtz decomposition and iterative methods.
Contribution
It introduces a novel approach to construct solutions with discontinuous entropy and angular momentum density, accounting for vorticity and swirl in 3D Euler flows.
Findings
Existence of solutions with contact discontinuities and swirl.
Construction method using Helmholtz decomposition and iteration.
Analysis of asymptotic behavior at far field.
Abstract
We prove the existence of a subsonic axisymmetric weak solution with to steady Euler system in a three-dimensional infinitely long cylinder when prescribing the values of the entropy and angular momentum density at the entrance by piecewise functions with a discontinuity on a curve on the entrance of . Due to the variable entropy and angular momentum density (=swirl) conditions with a discontinuity at the entrance, the corresponding solution has a nonzero vorticity, nonzero swirl, and contains a contact discontinuity . We construct such a solution via Helmholtz decomposition. The key step is to decompose the Rankine-Hugoniot conditions on the contact discontinuity via Helmholtz decomposition so that the compactness of…
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Taxonomy
TopicsNavier-Stokes equation solutions · Computational Fluid Dynamics and Aerodynamics · Fluid Dynamics and Turbulent Flows
Contact discontinuities for 3-D axisymmetric inviscid compressible flows in infinitely long cylinders
Myoungjean Bae
Department of Mathematics, POSTECH, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, Korea 37673; Korea Institute for Advanced Study, 85 Hoegiro, Dongdaemun-Gu, Seoul 02455, Republic of Korea
and
Hyangdong Park
Department of Mathematics, POSTECH, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, Korea 37673
Abstract.
We prove the existence of a subsonic axisymmetric weak solution with to steady Euler system in a three-dimensional infinitely long cylinder when prescribing the values of the entropy and angular momentum density at the entrance by piecewise functions with a discontinuity on a curve on the entrance of . Due to the variable entropy and angular momentum density (=swirl) conditions with a discontinuity at the entrance, the corresponding solution has a nonzero vorticity, nonzero swirl, and contains a contact discontinuity . We construct such a solution via Helmholtz decomposition. The key step is to decompose the Rankine-Hugoniot conditions on the contact discontinuity via Helmholtz decomposition so that the compactness of approximated solutions can be achieved. Then we apply the method of iteration to obtain a solution and analyze the asymptotic behavior of the solution at far field.
Key words and phrases:
angular momentum density, asymptotic state, axisymmetric, contact discontinuity, free boundary problem, Helmholtz decomposition, infinite cylinder, steady Euler system, subsonic, vorticity
2010 Mathematics Subject Classification:
35J47, 35J57, 35J66, 35Q31, 35R35, 74J40, 76N10
1. Introduction
In , the steady flow of inviscid compressible gas is governed by the Euler system [13]:
[TABLE]
In (1.1), the functions , , , and represent the density, velocity, pressure, and the total energy density of the flow, respectively, at . In this paper, we consider an ideal polytropic gas for which is given by
[TABLE]
for a constant , called the adiabatic exponent. With the aid of (1.2), the system (1.1) is closed, and can be rewritten as
[TABLE]
for the Bernoulli invariant given by
[TABLE]
Here, denotes the entropy.
Let be an open and connected set. Suppose that a non-self-intersecting -surface divides into two disjoint open subsets such that . Suppose that satisfies the following properties:
;
For any and ,
[TABLE]
Here, is the unit vector in the -direction.
By integration by parts, one can directly check that satisfies the properties and if and only if
satisfies the property ;
is a classical solution to (1.3) in , and satisfies the Rankine-Hugoniot conditions
[TABLE]
for a unit normal vector field on , where is defined by
[TABLE]
Let and be tangent vector fields on such that they are linearly independent at each point on . Due to in (1.5), the condition (1.6) can be rewritten as
[TABLE]
Suppose that in . Then, the second condition in (1.7) holds if either holds on , or for all .
Definition 1.1**.**
We define to be a weak solution to (1.3) in with a contact discontinuity if the following properties hold:
- (i)
* is a non-self-intersecting -surface dividing into two open subsets such that ;*
- (ii)
* satisfies and , or equivalently and ;*
- (iii)
* in ;*
- (iv)
* holds for all ;*
- (v)
, where is a unit normal vector field on .
One can directly check from (1.5) and (1.7) that is a weak solution to (1.3) in with a contact discontinuity if and only if the following properties hold:
The properties (i)-(iv) stated in Definition 1.1 hold;
and on .
Let be the cylindrical coordinates of , that is,
[TABLE]
where is a one dimensional torus with period . Any function can be represented as , and a vector-valued function can be represented as
[TABLE]
where
[TABLE]
Definition 1.2**.**
- (i)
A function is axially symmetric (=axisymmetric) if its value is independent of .
- (ii)
A vector-valued function is axially symmetric (=axisymmetric) if each of functions , , and is axially symmetric.
The goal of this paper is to prove the existence of subsonic axisymmetric weak solutions to (1.3) with contact discontinuities in the sense of Definition 1.1 in a three-dimensional infinitely long cylinder. In particular, we seek a solution with nonzero vorticity and nonzero angular momentum (=swirl). Furthermore, we analyze asymptotic behaviors of the contact discontinuities at far field.
There are many studies of smooth subsonic solutions to Euler system, see [5, 6, 14, 15, 16, 17, 18, 21, 22, 23] and references cited therein. As far as we know, there are few results on the existence of solutions to Euler system with contact discontinuities [1, 3, 7, 8, 9, 10, 11, 12, 20]. In [20], supersonic contact discontinuities in three-dimensional isentropic steady flows were studied.
In this paper, we prove the existence of a subsonic axisymmetric weak solution with to steady Euler system in a three-dimensional infinitely long cylinder when prescribing the values of the entropy and angular momentum density at the entrance by piecewise functions with a discontinuity on a curve on the entrance of . Due to the variable entropy and angular momentum density (=swirl) conditions with a discontinuity at the entrance, the corresponding solution has a nonzero vorticity, nonzero swirl, and contains a contact discontinuity . We construct such a solution via Helmholtz decomposition. By using Helmholtz decomposition, smooth subsonic solutions for the full Euler-Poisson system with nonzero vorticity were studied in [2, 4]. To construct subsonic solutions with contact discontinuities, the challenge is to decompose the Rankine-Hugoniot conditions on contact discontinuities via Helmholtz decomposition so that the compactness of approximated solutions can be achieved.
The first work to construct subsonic weak solutions with contact discontinuities to steady Euler system via Helmholtz decomposition is given in [3], in which new formulations of steady Euler system and Rankine-Hugoniot conditions via Helmholtz decomposition are introduced, and the existence of subsonic weak solutions with contact discontinuities and nonzero vorticity is proved in a two-dimensional infinitely long nozzle. Furthermore, it is proved that a two dimensional weak solution converges to a constant pressure state at far-field(), if one side of the contact discontinuity has uniform state with for a constant . In this paper, we consider a three-dimensional infinitely long circular cylinder with the same assumption. Namely, we prescribe boundary condition at the entrance of the cylinder so that the resultant subsonic weak solution to steady Euler system contains a contact discontinuity, and its one side has uniform state with for a constant . Differently from the two dimensional case, however, the three dimensional problem that we consider in this paper requires a more subtle approach. If we seek a weak solution via Helmholtz decomposition with a contact discontinuity so that its inner layer flow has nonzero vorticity and nonzero angular momentum, we first need to establish the unique solvability of a singular-coefficient elliptic equation, which concerns the angular component of the vorticity in its cylindrical-coordinate representation. Also, a careful treatment is needed in analysis of streamlines near the -axis (). To resolve these difficulties, we employ the method developed in [4], but with more sophisticated computations to handle nonlinear boundary conditions on the contact discontinuity, which are derived from the Rankine-Hugoniot conditions.
To analyze the asymptotic behavior of the solution, we use the stream function formulation and energy estimates. We emphasize that the asymptotic behavior of three dimensional subsonic weak solution with a contact discontinuity is completely different from the two dimensional solution, which are studied in [3]. Due to the non-zero angular momentum generated by the boundary condition at the entrance, the asymptotic limit of pressure of three dimensional subsonic weak solution with a contact discontinuity does not converge to a constant at . And, this is purely three dimensional phenomenon. To our best knowledge, this is the first result on the three-dimensional subsonic flows to steady Euler system with contact discontinuities.
The rest of the paper is organized as follows. In Section 2, we formulate the main problem of this paper, and state its solvability (Theorem (b)(a)) and the asymptotic limit of the solution (Theorem (b)(b)) as the main theorem. In Section 3, we reformulate the problem introduced in Section 2 by using the method of Helmholtz decomposition, and state its solvability as Theorem 3.1. As we shall see later, the problems given in Section 2 and 3 are free boundary problems in an unbounded domain. To construct a solution to the free boundary problems in an unbounded domain, free boundary problems in cut-off domains will be formulated and solved in Section 4. Based on the results of Section 4, we prove Theorem 3.1 from which Theorem (b)(a) follows. Finally, the asymptotic behavior of the solution at far field is analyzed in Section 5.
2. Main Theorems
We define an infinitely long cylinder
[TABLE]
As we defined in the previous section, let be the cylindrical coordinates of , that is,
[TABLE]
where is a one dimensional torus with period . Then, the wall and the entrance of are defined as
[TABLE]
To prescribe a boundary condition which causes an occurrence of a contact discontinuity, we define an inner layer of the entrance by
[TABLE]
Let us consider two layers of flow in separated by the cylindrical surface with satisfying the following properties:
- (i)
For fixed and , the velocity and density of outer and inner layers are given by and , respectively;
- (ii)
The pressure of both outer and inner layers is given by a constant ;
- (iii)
The outer and inner layers are subsonic flows, i.e.,
[TABLE]
Then a piecewise constant vector
[TABLE]
is a weak solution of the Euler system (1.3) in with a contact discontinuity . In this case, the entropy and Bernoulli function are piecewise constant functions with
[TABLE]
Our main goal is to solve the following problem.
Problem 2.1**.**
Fix and . For given radial functions , and , define
[TABLE]
Assume that
[TABLE]
and
[TABLE]
with sufficiently small to be specified later.
Find a weak solution to (1.3) with a contact discontinuity
[TABLE]
in the sense of Definition 1.1 in such that
- (a)
.
- (b)
Subsonicity:
[TABLE]
- (c)
Positivity of density: in
- (d)
At the entrance , satisfies the boundary conditions:
[TABLE]
- (e)
On , satisfies the Rankine-Hugoniot conditions, i.e.,
[TABLE]
where denotes a unit normal vector field on .
- (f)
On the wall , satisfies the slip boundary condition, i.e.,
[TABLE]
- (g)
The Bernoulli function is a piecewise constant function,
[TABLE]
where are given by (2.2).
Remark 2.1** (Compatibility conditions).**
If an axisymmetric vector field
[TABLE]
then it must satisfy
[TABLE]
Since it is assumed in (2.5) that the axisymmetric functions are on , the compatibility conditions
[TABLE]
are naturally imposed.
One can easily see that , , satisfy the following properties:
- (i)
(Subsonicity)
- (ii)
(Positivity of density) ;
- (iii)
As in (2.2),
[TABLE]
- (iv)
for any vector .
From this observation, we fix , , in , and we solve the following free boundary problem to find a solution to Problem 2.1;
Problem 2.2**.**
Under the same assumptions of Problem 2.1, find and a solution to (1.3) in such that
- (a)
[TABLE]
- (b)
Subsonicity:
[TABLE]
- (c)
Positivity of density: in
- (d)
At the entrance , satisfies the boundary conditions:
[TABLE]
- (e)
On , satisfies the boundary conditions
[TABLE]
where denotes a unit normal vector field on .
- (f)
The Bernoulli function is a constant function,
[TABLE]
where is given by (2.2).
Since , we can regard Problem 2.2 as a problem for . Assume that the smooth solution of (1.3) is axially symmetric, i.e.,
[TABLE]
Define the angular momentum density as follows
[TABLE]
Then one can directly check that (1.3) is equivalent to the following system:
[TABLE]
Now we state the main results in this paper.
Theorem 2.1**.**
For given radial functions , and on , assume that they satisfy (2.4), and let be given by (2.3). For simplicity of notations, let denote .
- (a)
(Existence) For any fixed , there exists a small constant depending only on and so that if
[TABLE]
then there exists an axially symmetric solution of Problem 2.2 with a contact discontinuity satisfying
[TABLE]
where the constant depends only on and .
- (b)
(Asymptotic state) There exists a constant depending only on and so that if
[TABLE]
then the solution in (a) satisfies
[TABLE]
Remark 2.2** (Zero swirl case).**
As we shall see later, the constant in Theorem (b)(a) will be chosen sufficiently small so that the estimate (2.12) yields that
[TABLE]
If on , by the definition of given by (2.10), then it follows from (2.6), the transport equation given in (2.11), and the estimate (2.13) that in . And, this implies that in . (See (5.2) for further details.) In this case, Theorem (b)(b) yields that
[TABLE]
where we extend the definition of onto by in . And, this coincides with the result obtained from [3]. From this perspective, the two dimensional subsonic weak solution with a contact discontinuity, constructed in [3], can be considered as a three-dimensional subsonic weak solution with the zero-swirl boundary condition for at the entrance of the cylinder .
Remark 2.3**.**
In Problem 2.2, we seek a subsonic weak solution to steady Euler system with a contact discontinuity by fixing the outer-layer flow in as a uniform state . One can also consider a problem to seek a subsonic weak solution to steady Euler system with a contact discontinuity by fixing the inner-layer flow in as a uniform state (See Fig. 2.3). Actually, this problem is even simpler than Problem 2.2 for the following reason: In order to solve Problem 2.2, we use Helmholtz decomposition with . With this representation, (1.3) is decomposed as a system of second order elliptic equations for , and transport equations for . In this reformulation, one of the difficulties rises. Namely, the equation for becomes a singular-coefficient elliptic equation, with a coefficient blow-up on the -axis (). If the inner-layer flow is fixed as a uniform state with , however, such a singularity issue is not needed to be considered, as the the inner-layer flow is fixed, and the outer-layer flow state is to be determined by solving nonlinear system of equations for . In particular, the outer-layer of is away from the -axis, therefore coefficients of all the equations are regular.
3. Reformulation of Problem 2.2 via Helmholtz decomposition
For a function to be determined along with in , we express the velocity vector field as
[TABLE]
for axially symmetric functions
[TABLE]
If are in , then a direct computation yields
[TABLE]
from which we derive that
[TABLE]
Hereafter, we denote the velocity field as
[TABLE]
For such , set
[TABLE]
By a simple adjustment of computations given in [4], we can rewrite the system (2.11) as follows:
[TABLE]
with
[TABLE]
for defined by
[TABLE]
for , , , and .
Next, we derive boundary conditions for to satisfy the physical boundary conditions (2.8)-(2.9). We intend to derive the boundary conditions so that a compactness of approximated solutions to Problem 2.2 can be established.
*(i) Boundary conditions on : * We require to satisfy
[TABLE]
so that the boundary conditions given in (2.8) hold on for
[TABLE]
*(ii) The Rankine-Hugoniot conditions (2.9) on : * If a contact discontinuity is represented as , then the unit normal of pointing toward is given by
[TABLE]
Therefore, if solves the initial value problem
[TABLE]
then the condition holds on for given by (3.7). We use (3.8) to find the location of the contact discontinuity .
Due to axi-symmetry of , an orthonormal basis of can be given as
[TABLE]
Then, it follows from the condition on that
[TABLE]
By substituting the expression (3.1) into (3.9), we get
[TABLE]
On the other hand, to satisfy the condition (f) stated in Problem 2.2, should satisfy
[TABLE]
Therefore, if satisfy
[TABLE]
for and defined by
[TABLE]
then one can directly check from (3.9)–(3.11) that the condition on given in (2.9) holds for given by (3.7).
We collect all the boundary conditions for with (3.8) as follows:
[TABLE]
Theorem 3.1**.**
For given radial functions , and on , assume that they satisfy (2.4), and let be given by (2.3). For simplicity of notations, let denote .
For any fixed , there exists a small constant depending only on and so that if
[TABLE]
then the free boundary problem (3.4) with boundary conditions (3.8) and (3.14) has a solution that satisfies
[TABLE]
where the constant depends only on and .
Hereafter, a constant is said to be chosen depending only on the data if is chosen depending only on .
We first prove Theorem 3.1, then apply this theorem to prove Theorem (b). We will prove Theorem 3.1 by a limiting argument. So we introduce a free boundary problem in a cut-off domain of the finite length , and solve it by the method of iteration in Section 4. And, uniform estimates of the solutions to the free boundary problems in cut-off domains are established independently of the length . In Section 5.1, we prove Theorem 3.1 by taking a sequence of the solutions to the free boundary problems in cut-off domains, then passing to the limit . The limit yields a solution to the free boundary problem (3.4) with boundary conditions (3.8) and (3.14), then we can prove that for given by (3.7) yields a solution to Problem 2.2. This proves Theorem (b)(a). Finally, Theorem (b)(b) is proved by using the stream function formulation and energy estimates.
4. Free boundary problems in cut-off domains
4.1. Iteration framework
Let be given by (2.1). For a constant , define by
[TABLE]
For a function , we set
[TABLE]
Problem 4.1**.**
Find a solution of the following free boundary problem:
[TABLE]
with boundary conditions
[TABLE]
and
[TABLE]
where
[TABLE]
Proposition 4.1**.**
For given radial functions , and on , assume that they satisfy (2.4), and let be given by (2.3). For simplicity of notations, let denote .
For a fixed , there exists a small constant depending only on the data and so that if
[TABLE]
then Problem 4.1 has a unique solution that satisfies
[TABLE]
where the constant depends only on the data and but independent of .
In order to find as a solution to transport equation in , we first need to satisfy the condition (4.2). Furthermore, the vector field needs to be divergence free (See [4, Proposition 3.5]). Therefore, we need to solve a free boundary problem for by fixing approximated entropy and angular momentum density , then solve in to update , where is given by . This procedure yields an iteration map in the iterations sets defined below.
For fixed constants , and to be determined later, we define an iteration set
[TABLE]
for
[TABLE]
for a two dimensional rectangular domain given by
[TABLE]
Problem 4.2**.**
For each , set
[TABLE]
for given by (3.2) and (3.3). Then, find satisfying (4.2) and
[TABLE]
where , , and are given by (3.5) and (3.13).
Lemma 4.2**.**
Under the same assumptions on as in Proposition 4.1, there exists a small constant depending only on the data and so that if
[TABLE]
then, for each , Problem 4.2 has a unique solution satisfying
[TABLE]
where the constant depends only on the data and but independent of .
We will prove this lemma in Section 4.2. Once Lemma 4.2 is proved, we prove Proposition 4.1 by the following approach: Let be the unique solution of Problem 4.2 for a fixed . For such a solution, we find a unique solution of the following initial value problem:
[TABLE]
We take suitable extensions of . For such , we define an iteration mapping by
[TABLE]
Then we choose and so that the mapping maps into itself, and has a unique fixed point of . This will prove Proposition 4.1. A detailed proof of Proposition 4.1 is given in Section 4.3.
4.2. Proof of Lemma 4.2
For a constant to be determined later with satisfying , we define an iteration set
[TABLE]
We fix , and solve the following boundary value problem in :
[TABLE]
where , , and are given by (3.5) and (3.13).
Lemma 4.3**.**
Under the same assumptions on as in Proposition 4.1, there exists a small constant depending only on the data and so that if
[TABLE]
then the nonlinear boundary value problem (4.9) has a unique solution satisfying
[TABLE]
where the constant depends only on the data and but independent of .
Hereafter, we regard any estimate constant to be chosen depending only on the data and but independent of unless specified otherwise.
Proof.
1. (Iteration set) For two constants to be determined later, let us define
[TABLE]
for a two dimensional set given by
[TABLE]
Then, we define an iteration set of as
[TABLE]
Note that the iteration set is defined through the norm . This is to find an axisymmetric solution to the equation given in (4.9), and to make the function become in .
2. (Linearized boundary value problem for ) For a fixed , set
[TABLE]
where and are given by (3.5) and (3.13), respectively. The compatibility condition on implies that on and . Since , is smooth on and . Then the standard elliptic theory yields that the linear boundary value problem
[TABLE]
for defined by
[TABLE]
has a unique solution . By adjusting the proof of [4, Proposition 3.3], one can show that is represented as
[TABLE]
where solves the boundary value problem
[TABLE]
with boundary conditions
[TABLE]
By taking the limit to the equation (4.14) and using L’Hospital’s rule, one can also check that
[TABLE]
Claim: Regarding as a function of , we have
[TABLE]
Proof of Claim..
Since , and is smooth with respect to , we have
[TABLE]
Now we show that satisfies
[TABLE]
Define a function by
[TABLE]
Since , we have
[TABLE]
Set
[TABLE]
Here, each for denotes the unit vector in the positive direction of -axis for . Then straightforward computations and (4.18) yield that
[TABLE]
By the comparison principle and Hopf’s lemma, we have
[TABLE]
Therefore we get the estimate
[TABLE]
By adjusting the proof of [19, Theorem 3.13] with using the -estimate given right above, we obtain the estimate
[TABLE]
To obtain -estimate of up to the boundary, we use the method of reflection. Define an extension of into by
[TABLE]
Since , we have the estimate
[TABLE]
We define an extended domain
[TABLE]
and
[TABLE]
We also define extensions of into as follows:
[TABLE]
Then and
[TABLE]
By the compatibility conditions of given in (4.4) and (4.8),
[TABLE]
From this and the definition of , we have the estimate
[TABLE]
Consider a connected subdomain of such that
[TABLE]
and the boundary is smooth. By the standard elliptic theory, the boundary value problem
[TABLE]
for
[TABLE]
has a unique solution that satisfies
[TABLE]
By the definitions of and the uniqueness of a solution to (4.21), we have and . The uniqueness of a solution to (4.13) yields that in By combining (4.19) and the -estimate of given right above, we obtain that
[TABLE]
One can also similarly check that
[TABLE]
It follows from (4.22)-(4.23) that
[TABLE]
Fix with and . Without loss of generality, we assume that . Since depends only on the unit vector lying on , we have
[TABLE]
Due to the compatibility condition on , we have , and this yields that
[TABLE]
So we get
[TABLE]
from which it is obtained that
[TABLE]
Since , is smooth on , and we have
[TABLE]
It follows from (4.17), (4.20), and (4.24)-(4.26) that
[TABLE]
The claim is verified. ∎
3. (Linearized boundary value problem for ) For , , and , define and by
[TABLE]
where is defined by (3.5). Then the equation
[TABLE]
can be rewritten as
[TABLE]
For given by (3.13), denote and set
[TABLE]
Then the constant matrix is strictly positive and diagonal, and there exists a constant satisfying
[TABLE]
Set . Then (4.27) can be rewritten as
[TABLE]
where and are defined as follows:
[TABLE]
with . Here, is abbreviated as .
By the boundary conditions for given in (4.9) and the definition of , the boundary conditions for on become
[TABLE]
On , the boundary condition for given in (4.9) implies that should be a constant along . Since we seek a solution to be continuous up to the boundary, and since by the definition (3.6), we prescribe the boundary condition for on as
[TABLE]
For a fixed , let be the unique solution to the linear boundary value problem (4.13) associated with . For such , we set
[TABLE]
where is given by (4.30). And, we consider the following linear boundary value problem
[TABLE]
In the next step, we prove the well-posedness of (4.32).
4. (The well-posedness of (4.32)) Claim: For each , the linear boundary value problem (4.32) associated with has a unique solution , and the solution satisfies
[TABLE]
Moreover, the solution is axially symmetric, and it satisfies
[TABLE]
Proof of Claim..
For given by (3.6), define a function by
[TABLE]
where is a -function satisfying
[TABLE]
Set . Then the linear boundary value problem (4.32) can be rewritten as
[TABLE]
for defined by
[TABLE]
where are given by (4.28). By the standard elliptic theory, the linear boundary value problem (4.36) has a unique solution .
To obtain a uniform -estimate of for all , we define a function by
[TABLE]
Since in by (4.29), is well-defined. A direct computation yields
[TABLE]
Since is uniformly elliptic, the comparison principle implies in from which it follows that
[TABLE]
Then we obtain the estimate
[TABLE]
To obtain -estimate of up to the boundary, we use the method of reflection. By the compatibility conditions of given in (4.4) and (4.11), and on given from (4.15), we have
[TABLE]
From the definition of given in (4.34), the compatibility conditions of given in (4.8), and the definition of given in (4.35), it can be directly checked that
[TABLE]
It follows from (4.38)-(4.39) and the definition of given in (4.37) that
[TABLE]
Then we can apply the method of reflection to obtain the estimate
[TABLE]
and this implies that the linear boundary value problem (4.32) has a unique solution that satisfies
[TABLE]
For any , define a function by
[TABLE]
Then, we have on . By using (4.28), it can be directly checked that . Therefore, holds in . This implies that is a solution to (4.36). By the uniqueness of a solution to (4.36), we conclude that Therefore is axially symmetric, and this implies that is axially symmetric.
Since and on , we have
[TABLE]
It follows from (4.38) and (4.40) that on Since , we conclude that on The proof of claim is completed. ∎
5. (The well-posedness of nonlinear boundary value problem (4.9)) For fixed , define an iteration mapping by
[TABLE]
where is the solution to (4.13) and (4.32) associated with .
By straightforward computations, one can easily check that there exists a constant depending only on the data so that if
[TABLE]
then we have
[TABLE]
where , , and are given by (4.31), and (4.12). It follows from (4.16), (4.33), and (4.42) that
[TABLE]
for a constant depending on the data and but independent of . We choose , , and as
[TABLE]
where is given in (4.41), so that (4.43) implies that for Under such choices of , the iteration mapping maps into itself if . Furthermore, satisfies the estimate
[TABLE]
Now we show that is a contraction mapping if is a small constant depending only on the data and .
For each , let
[TABLE]
where and are given by (4.30) and (3.5), respectively. By a direct computation, it can be checked that there exists a constant depending only on the data so that if
[TABLE]
then we have
[TABLE]
Then it follows from (4.16), (4.33), and (4.45) that
[TABLE]
for a constant depending only on the data and but independent of . Choose as
[TABLE]
with defined in (4.44). Thus if , then the mapping is a contraction mapping so that has a unique fixed point in . This gives the unique existence of a solution to (4.9). The proof of Lemma 4.3 is completed. ∎
Next, we prove the unique solvability of Problem 4.2, which is a free boundary problem.
Proof of Lemma 4.2..
1. Now we choose from (4.8), and adjust to find a solution of Problem 4.2 by the method of iteration.
Given and , let be the unique solution to the boundary value problem (4.9). Note that satisfies the estimate (4.10) given in Lemma 4.3. For simplicity, we set
[TABLE]
where is given in (3.5). From the first equation in (4.9), we have
[TABLE]
As in the proof of Lemma 4.3, there exists a constant depending only on the data and so that if
[TABLE]
then we have
[TABLE]
where the constant depends only on the data and but independent of . If satisfies
[TABLE]
then we obtain from (4.48) that
[TABLE]
For each , we choose to satisfy
[TABLE]
If , then (4.50) yields that
[TABLE]
Differentiating (4.51) with respect to , and using the equation (4.47), we have
[TABLE]
Also, we have . Thus satisfies the free boundary condition (4.2) for .
Since , (4.50) is equivalent to
[TABLE]
[TABLE]
Then the function given by
[TABLE]
is well-defined, and satisfies (4.50). And, , . Moreover, by a direct computation, we have the estimate
[TABLE]
for a constant depending only on the data and but independent of .
We define an iteration mapping by
[TABLE]
for given by (4.54). Choose and as
[TABLE]
for and defined by (4.46) and (4.53), respectively. Under such choices of , the iteration mapping maps into itself if .
2. The iteration set given by (4.8) is a convex and compact subset of . For each fixed , the iteration map maps into itself where is chosen by (4.56), and for from (4.56).
Suppose that a sequence converges in to . For each , set
[TABLE]
And, let be the unique solution of (4.9) associated with . Define a transformation by
[TABLE]
Then is sequentially compact in and the limit of each convergent subsequence of in solves (4.9) associated with . By the uniqueness of a solution for the problem (4.9), is convergent in . It follows from (4.54)-(4.55) that converges to in . This implies that converges to in . Thus is a continuous map in . Applying the Schauder fixed point theorem yields that has a fixed point . For such , let be the unique solution to the fixed boundary problem (4.9) associated with . Then is a solution to Problem 4.2. It follows from (4.10) and (4.55) that
[TABLE]
3. Finally, it remains to prove the uniqueness of a solution to Problem 4.2. For a fixed , let and be two solutions to Problem 4.2, and suppose that each solution satisfies the estimate given in (4.6) of Lemma 4.2. Define a transformation by
[TABLE]
Since , the transformation is invertible and
[TABLE]
Set
[TABLE]
We first rewrite the nonlinear boundary value problem (4.5) for in as a nonlinear boundary value problem for in , and subtract the resultant equations and boundary conditions from the nonlinear boundary value problem (4.5) for in . Then we get a nonlinear boundary value problem for in . By adjusting the proof of Lemma 4.3 with using
[TABLE]
we obtain
[TABLE]
for a constant depending only on the data and but independent of . In the above, is a two dimensional set. If it holds that
[TABLE]
then we obtain from the previous estimate that
[TABLE]
By using the free boundary condition (4.2), we can express in terms of . Then we apply (4.58) to obtain the estimate
[TABLE]
To complete the estimate of , we now estimate . Define , , , and by
[TABLE]
where is given by (3.5). By using (4.51), we get
[TABLE]
Fix . Without loss of generality, we may assume that
[TABLE]
Then (4.60) can be rewritten as
[TABLE]
By applying (4.58), we have
[TABLE]
Combining this with (4.59), we finally get
[TABLE]
where the constant depends only on the data and but independent of . We choose as
[TABLE]
for defined in (4.56), so that (4.61) implies that for . By Lemma 4.3, The proof of Lemma 4.2 is completed. ∎
4.3. Proof of Proposition 4.1
The proof of Proposition 4.1 is divided into four steps.
1. For a fixed , let be a solution to Problem 4.2. By Lemma 4.2, if for given in (4.62), then there exists a unique solution that satisfies the estimate (4.6).
Lemma 4.4**.**
Under the same assumptions on as in Proposition 4.1, there exists a small constant depending only on the data and so that if
[TABLE]
then the initial value problem (4.7) has a unique solution satisfying
[TABLE]
for a constant depending only on the data and but independent of . Furthermore, regarding as functions of , we have
[TABLE]
for a constant depending only on the data and but independent of .
Remark 4.5**.**
The estimate (4.63) is needed in (4.75) to prove the uniqueness of solutions.
Proof of Lemma 4.4..
Define a function by
[TABLE]
for
[TABLE]
where and are given by (3.3) and (3.5), respectively. For such , we consider an invertible function satisfying
[TABLE]
and define a function by
[TABLE]
By adjusting the proof of [4, Proposition 3.5], we can obtain a unique solution of (4.7) represented in
[TABLE]
and the estimate
[TABLE]
where the constant depends only on the data and but independent of .
Since satisfies
[TABLE]
we also have
[TABLE]
for a constant depending only on the data and but independent of . The proof of Lemma 4.4 is completed. ∎
2. (Extension of onto ) For and , consider a transformation defined by
[TABLE]
Note that we have shown that for given by (4.8) therefore we have on [0, L], thus the mapping is well defined. And, is invertible with
[TABLE]
For the unique solution of the initial-value problem (4.7), define by
[TABLE]
for where is defined by
[TABLE]
Here, , , and , which are constants determined by the system of equations
[TABLE]
For such , define an extension of into as follows:
[TABLE]
Since on , is well defined by (4.68), and it satisfies
[TABLE]
We define an iteration mapping by
[TABLE]
By (4.69) and Lemma 4.4, we have the estimate
[TABLE]
for a constant depending only on the data and but independent of .
3. (Further estimate of \frac{\Lambda}{r}$$(=\mathcal{V})) By (4.1) and (4.67), is represented as
[TABLE]
where is given by (4.66). Set as
[TABLE]
By the compatibility condition and the representation
[TABLE]
we get
[TABLE]
With using this observation, it can be directly checked that
[TABLE]
By (4.70)-(4.71) and the definition of , we have the estimate
[TABLE]
for a constant depending only on the data and but independent of .
4. In this step, we finally choose so that has a unique fixed point in .
By a direct computation, one can easily check that there exists a constant depending only on the data and so that if
[TABLE]
then
[TABLE]
for a constant depending only on the data and but independent of . If it holds that
[TABLE]
then we obtain from the previous estimate that
[TABLE]
Also, by the boundary conditions in (4.5) for and the definition of given in (3.6), we have
[TABLE]
It follows from (4.7) and (4.72)-(4.73) that
[TABLE]
Choose and as
[TABLE]
with defined in (4.62) and given in Lemma 4.4. Under such choices of , the mapping maps into itself whenever .
The iteration set given by (4.4) is convex and compact subset in . Suppose that a sequence converges in to . For each , set
[TABLE]
And, let be the unique solution of Problem 4.2 associated with . By the uniqueness of a solution for Problem 4.2, is convergent in . Denote its limit by and the unique solution of (4.9) associated with by . Define a transformation by
[TABLE]
and set
[TABLE]
where and are given by (3.3) and (3.5), respectively. Then converges to in By Lemma 4.4, converges to in . This implies that converges to in . Thus is a continuous map in . Applying the Schauder fixed point theorem yields that has a fixed point . For such , let be the unique solution of Problem 4.2, and let us set . Then solves Problem 4.1 provided that .
Finally, we prove the uniqueness of a fixed point of . Let and be two solutions to Problem 4.1, and suppose that each solution satisfies the estimates given in (4.3) of Proposition 4.1. For a transformation defined in (4.57), set
[TABLE]
By a direct computation, it can be checked that there exists a constant depending only on the data and but independent of so that if , then
[TABLE]
By adjusting the proof of Lemma 4.2 with using the estimate (4.75), we have
[TABLE]
for a constant depending only on the data and but independent of . We choose as
[TABLE]
with defined in (4.74), so that we obtain from (4.76) that for . Then, by (4.75), we have Therefore
[TABLE]
by Lemma 4.2. The proof of Proposition 4.1 is completed. ∎
5. Free boundary problem in the infinitely long cylinder
5.1. Proof of Theorem 3.1
Let be from Proposition 4.1 and suppose that . By Proposition 4.1, Problem 4.1 has a solution for each . For each , let be a solution of Problem 4.1 in , and suppose that the solution satisfies the estimates (4.3) given in Proposition 4.1. Then, using the Arzelá-Ascoli theorem and a diagonal procedure, we can extract a subsequence, still written as so that the subsequence converges to functions in the following sense: for any ,
- (i)
converges to in in .
- (ii)
converges to in in , where is defined by
[TABLE]
- (iii)
converges to in in .
- (iv)
converges to in in .
By a change of variables and passing to the limit , one can easily show that is a solution to the free boundary problem (3.4) with boundary conditions (3.8) and (3.14). Furthermore, it follows from the -convergence of , -convergence of , and the estimates (4.3) given in Proposition 4.1 that satisfy the estimates (3.16) for a constant depending only on the data and . ∎
5.2. Proof of Theorem (b)(a)
Let be from Theorem 3.1, and suppose that the functions satisfy (3.15). By Theorem 3.1, the free boundary problem (3.4) with (3.8) and (3.14) has a solution that satisfies the estimates (3.16). For such a solution, we define by
[TABLE]
where is given by (3.5). It follows from the estimates (3.16) given in Theorem 3.1 that satisfy the estimate (2.12). Then, one can choose a small constant depending only on the data and such that if , then satisfy and in , thus solve Problem 2.2. Here, is given by . The proof of Theorem (b)(a) is completed. ∎
5.3. Proof of Theorem (b)(b)
Let be from Theorem (b)(a). By Theorem (b)(a), if , then there exists a solution with of Problem 2.2 satisfying the estimate (2.12).
Set
[TABLE]
The equation in , stated in (2.11), can be rewritten as
[TABLE]
With using this equation, it can be directly checked that the function given by
[TABLE]
satisfies
[TABLE]
By (4.64)-(4.67), the entropy and angular momentum density are represented as
[TABLE]
where is given by (4.65) associated with and for . Since , , and are differentiable, and are differentiable functions of . Set
[TABLE]
Then, by the definition of the Bernoulli invariant (1.4), we have
[TABLE]
where . By differentiating the equation (5.3) with respect to and , we have
[TABLE]
where ′ denotes the derivative with respect to . Using (5.1)-(5.4), the equation
[TABLE]
in (2.11) can be rewritten as
[TABLE]
We multiply (5.6) by to get
[TABLE]
Set
[TABLE]
and differentiate (5.7) with respect to to get the following equation for :
[TABLE]
where
[TABLE]
Note that is represented by (3.1), for solving the equations (3.4). Similarly to (4.14), we rewrite the second equation in (3.4) as
[TABLE]
By Theorem (b)(a) and Lemma 4.4, the right-hand side of this equation is in , therefore we have . Next, we regard the first equation in (3.4) as a second order quasilinear equation for . By Theorem (b)(a), this equation is uniformly elliptic. Since is in , and , we obtain that is in . And, this implies that , thus the equation (5.8) is well-defined.
By the boundary conditions (2.8) and the compatibility condition on , satisfies
[TABLE]
Next, we compute a conormal boundary condition for (5.8) on .
We consider the expression
[TABLE]
for
[TABLE]
Since we have
[TABLE]
we obtain that
[TABLE]
from which it follows that in (5.12) is given by
[TABLE]
A direct computation with using (1.4), (5.1), and (5.13)-(5.14) yields that
[TABLE]
By differentiating the equation (5.11) in the tangential direction along , we have
[TABLE]
And, we solve this expression for to get
[TABLE]
Substituting the expression of in (5.12) into (5.15), we have
[TABLE]
for
[TABLE]
By the definition of in (5.9), we also have
[TABLE]
Finally, a direct computation with using (5.16)-(5.17) yields the following conormal boundary condition for (5.8) on :
[TABLE]
for defined by
[TABLE]
where we represent as
[TABLE]
Fix a constant and let be a function satisfying
[TABLE]
Multiply (5.8) by and integrate over the domain to get
[TABLE]
for
[TABLE]
We will show that
[TABLE]
where and are constants depending only on the data and . From now on, the constant depends only on the data and , which may vary from line to line.
First, by the Hölder’s inequality, we have
[TABLE]
from which we obtain that
[TABLE]
Before we prove the remaining estimates in (5.20), we compute estimates for . By a straightforward computations with using the estimate (2.12) given in Theorem (b)(a), one can easily check that there exists a constant depending only on the data and so that if , then we have
[TABLE]
for
[TABLE]
By (5.21), it holds that
[TABLE]
By using the equations in (2.11) and the definition of , it can be checked that
[TABLE]
where is given in (5.2). One can also check that there exists a constant depending only on the data and so that if , then
[TABLE]
and it follows from (5.23)-(5.24) that
[TABLE]
then we get
[TABLE]
in .
Now we are ready to estimate for . Since and in , we have
[TABLE]
By the boundary condition on stated in (5.10), we have
[TABLE]
By the Hölder inequality, we have the following estimates:
[TABLE]
Substituting the second estimate of (5.27) into (5.26) yields
[TABLE]
It follows from (5.21)-(5.25) that
[TABLE]
where the constant depends only on the data and . Substituting the first estimate of (5.27) into (5.28) gives
[TABLE]
Similarly, substituting the second estimate of (5.27) into (5.29) gives
[TABLE]
It follows from (5.18) and (5.21)-(5.25) that
[TABLE]
where the constant depends only on the data and . Substituting the first estimate of (5.27) into (5.30) gives
[TABLE]
Also, we obtain from (5.21), (5.25), and the first estimate of (5.27) that
[TABLE]
Now the estimates in (5.20) are all verified.
[TABLE]
where the constants and depend only on the data and . If it holds that
[TABLE]
then we obtain from the previous estimate that
[TABLE]
Since and in by (2.12), we have
[TABLE]
Since , we have
[TABLE]
for some constant independent of . Passing to the limit yields
[TABLE]
Hence
[TABLE]
Since , we have
[TABLE]
By (5.31) and the compatibility condition on , we have
[TABLE]
Since in and , (5.32) implies that
[TABLE]
[TABLE]
from which
[TABLE]
It follows from the equation in (5.5) and (5.34) that
[TABLE]
The proof of Theorem (b)(b) is completed by choosing as
[TABLE]
∎
Acknowledgements: The research of Myoungjean Bae was supported in part by Samsung Science and Technology Foundation under Project Number SSTF-BA1502-02. The research of Hyangdong Park was supported in part by Samsung Science and Technology Foundation under Project Number SSTF-BA1502-02.
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