Existence and Optimal Convergence Rates of Multi-dimensional Subsonic Potential Flows Through an Infinitely Long Nozzle with an Obstacle Inside
Abstract.
In this paper, the well-posedness and optimal convergence rates of subsonic irrotational flows through a three dimensional infinitely long nozzle with a smooth obstacle inside are established. More precisely, the global existence and uniqueness of the uniformly subsonic flow are obtained via variational formulation as long as the incoming mass flux is less than a critical value.
Furthermore, with the aid of delicate choice of weight functions, we prove the optimal convergence rates of the flow at far fields via weighted energy estimates and Nash-Moser iteration.
Keywords: Subsonic flows, Potential equation, Nozzles, Optimal convergence rates, Body
1. Introduction
The study on compressible inviscid flows provides many significant and challenging problems. The flows past a body, through a nozzle, and past a wall are typical flow patterns which have physical significance and also include the physical effects [3]. The first rigorous mathematical analysis on the problem for irrotational flows past a body is due to Frankl and Keldysh[23]. The important progress for subsonic flows with prescribed circulation was made by Shiffman [39] via the variational approach. Later on, Bers [2] proved the existence of two dimensional irrotational subsonic flows around a profile with a sharp trailing edge if the free stream Mach number is less than a critical value. The uniqueness and asymptotic behavior of the subsonic plane flows were established in [20]. The study of three dimensional irrotational flows around a smooth body was initiated in [21] by Finn and Gilbarg. For the three (or higher) dimensional case, the existence of uniform subsonic irrotational flows around a smooth body was established by Dong [14, 15] in a weighted function space as long as the incoming Mach number is less than a critical value. When the vorticity of the flow is not zero, the Euler system for subsonic solutions is a hyperbolic-elliptic coupled system so that the problem for flows past a body becomes much harder. The well-posedness theory for two dimensional subsonic flows past a wall or a symmetric body was established in [4]. As far as transonic flows past a profile is concerned, it was proved by Morawetz [32, 33, 34, 35] that the smooth transonic flows past an airfoil are usually unstable with respect to the perturbations of the physical boundaries. Later on, Morawetz initiated a program to prove the existence of weak solutions for irrotational flows by the method of compensated compactness [36, 37]. The compensated compactness method was successfully used to deal with subsonic-sonic flows recently, see [7, 10, 27, 42] and reference therein.
The irrotational flows through infinitely long nozzles were first studied in [42, 44] where the authors established the existence and uniqueness of global subsonic flows through two dimensional or three dimensional axially symmetric nozzles as long as the flux is less than a critical value. The existence and uniqueness of the irrotational uniformly subsonic flows in the multidimensional nozzle were established in [18] by the variational method. For subsonic flows with nonzero vorticity, the existence of solutions in two dimensional nozzles was first proved in [43] when the mass flux is less than a critical value and the variation of Bernoulli’s function is sufficiently small. Furthermore, the existence of two dimensional subsonic flows and their optimal convergence rates at far fields were established in [17] for a large class of subsonic flows with large vorticity. Later on, the existence of general two dimensional subsonic flows even with characteristic discontinuity was proved in [11]. Subsonic flows with non-zero vorticity through infinitely long nozzles were also studied in various settings, such as axially symmetric flows, two dimensional periodic flows, etc, see[6, 44, 5, 16] and reference therein. Recently, the subsonic-sonic flow in a convergent nozzle with straight solid walls was studied in [40] and the properties of the sonic curve were investigated in [41]. We would like to mention that there are important progress on stability of transonic shocks in nozzles, see [45, 46, 8] and reference therein., where the key issue is to study subsonic solutions around some background solutions with shocks as free boundary.
Note that, the wind tunnel experiment can be regarded as the problem for flows past an obstacle in a nozzle. Our ultimate goal is to study the well-posedness theory for multidimensional subsonic flows past a non-smooth body (an open problem posed in [14]) and through nozzles with a non-smooth body inside. As a first step, in this paper, we study the well-posedness and the optimal convergence rates at far fields for muiti-dimensional subsonic flows through nozzles with a smooth body inside.
Consider the isentropic compressible Euler equations as follows
(1) |
where represents density, is the flow velocity and is the pressure given by the equation of states . In this paper, we always assume and for . For the polytropic gas, the pressure is given by , where is a positive number and is called the adiabatic exponent.
Suppose that the flow is irrotational, i.e.,
(2) |
Thus, there exists a potential function such that
(3) |
With the aid of (1) and (2), the following Bernoulli’s law holds for irrotational flows ([13]),
(4) |
where is a constant and is the enthalpy defined by . It follows from (4) that can be written as . Using the mass conservation in (1), the Euler equations can be reduced to the potential equation
(5) |
Denote which is called the sound speed. It is easy to check that when (i.e. the flow is supersonic), the equation (5) is hyperbolic; while if (i.e. the flow is subsonic), the equation (5) is elliptic. Moreover, there is a critical speed such that if and only if ([13]). Thus one can normalize as follows
(6) |
With an abuse of the notation, we still use and rather than and later. Denote . It is easy to see that for and the subsonic flow means or .
We consider the domain to be a nozzle which contains an obstacle inside. By using the cylindrical coordinates, and can be written as
(7) |
and
(8) |
respectively, where and are constants. Assume
(9) |
and
(10) |
where is a positive constant. Without loss of generality, assume the origin . Moreover, suppose that and are . In the rest of the paper, denote
(11) |
We consider subsonic flows in which satisfy the slip boundary conditions on the solid walls. The problem can be formulated as follows
(12) |
where n is the unit outer normal of and l is the unit normal pointed to the right of , respectively. is the mass flux of the flow across the nozzle, which is conserved through each cross section.

Our first main results can be stated as follows.
Theorem 1.
There exists a critical value such that
(i) if the mass flux , there exists a uniformly subsonic flow through , i.e. there exists a solution which solves the problem (12) and satisfies
(13) |
Moreover,
(14) |
where is a constant independent of .
(ii) The value of ranges over as varies in .
Furthermore, if the additional structure of the nozzle is known, we have the following optimal convergence rates of the flows at far fields.
Theorem 2.
Let with positive constants and satisfying and .
(i) If the nozzle is a straight cylinder in the downstream, i.e. for some positive , then there exists a positive constant such that
(15) |
where is a constant independent of .
There are few remarks in order.
Remark 1.
Remark 2.
The convergence rate (17) is optimal. Indeed, suppose that there exists a constant such that
(18) |
It follows from the definition of that
(19) |
The straightforward computations yield that
(20) |
Combining (17), (19) and (20) yields that there exists a constant such that
(21) |
This implies that the convergence rate (17) is optimal.
Remark 3.
Applying the compensated compactness framework developed in [27, Theorem 2.1], one can obtain the existence of the weak subsonic-sonic solutions through an infinitely long nozzle with a body inside.
Here we give the key ideas and comments on main techniques for the proof of Theorems 1 and 2. The existence of weak solutions is obtained via the variational method inspired by [18] where the major new difficulty is the average estimate presented in Lemma 1. The regularity of weak solutions is improved since the subsonic potential flows are governed by elliptic equations. The key issue to prove convergence rates of subsonic flows at far fields is to study the asymptotic behavior of gradient of solutions to quasilinear elliptic equations. The first difficulty to study the convergence rates is that the domain is of cylindrical type so that it is not easy to use Kelvin transformation to study the asymptotic behavior as what has been done for flows past a body. The another difficulty is that the potential function is not bounded in norm so that it is hard for us to adapt the approach developed in [17] for two dimensional flows which is based on the maximum principle. Some studies on far fields behavior for solution of elliptic equations in cylindrical domains can be found in [30, 22, 12]. Inspired by the work [38], we combine the convergence rates of the boundaries and the weighted energy estimate with delicate choice of weight to get an decay of gradients of the velocity potential. norm of the is established via Nash-Moser iteration.
The rest of this paper is organized as follows. In Section , we adapt the variational method in [18] to establish the existence of subsonic solutions. In Sections , the optimal convergence rates of velocity at far fields are established..
2. Existence and uniqueness of subsonic solution with small flux
In order to deal with the possible degeneracy near sonic state, we first study the problem with subsonic truncation so that the truncated equation is uniformly elliptic. The key ingredient is a priori estimate for the truncated domain.
2.1. Subsonic solutions of the truncated problem
When goes to , the potential equation (5) is not uniformly elliptic. Another difficulty for the problem (12) is that the domain is not bounded. To overcome these difficulties, we truncate both the coefficients and the domain. Define and as follows
(22) |
and
(23) |
where is a small positive constant. One can easily check that there exists a positive constant depending on such that
(24) |
Denote
(25) |
It is easy to see that there exist two positive constants and such that
(26) |
where the repeated indices mean the summation for , from to . This convention is used in the whole paper.
For any sufficiently large positive number and any set , denote
where . Later on, the following notations will be used
In order to study the problem (12), we consider the truncated problem:
(27) |
Define the space
(28) |
It is easy to see that is a Hilbert space under norm. is said to be a weak solution of the problem (27) in if
(29) |
Define
(30) |
The straightforward calculations show that if is a minimizer of , i.e.,
(31) |
then must satisfy (29).
First, we have the following lemma on the existence of minimizer and basic estimate for the minimizer of the problem (31).
Lemma 1.
For any sufficiently large , has a minimizer . Moreover, this minimizer satisfies
(32) |
where is independent of .
Proof.
Given a fixed positive constant , let be a domain satisfying
, and Define .
Furthermore, one can choose such that is . Obviously (See figure 2). Let be the unit disk centered at origin. Denote .
It is easy to see that there exists an invertiable map : , satisfying
(i) .
(ii) For any , .
(iii).

It follows from the straightforward computations that
(33) |
Applying Hlder inequality yields
(34) |
The constant here and subsequently in the rest of the paper may change from line to line as long as what these constants depend on is clear. Substituting the estimate (34) into (30), one can conclude that
(35) |
where depends on , , , and . This implies that the functional is coercive. Hence has an infimum. Let be a minimizing sequence. One has
(36) |
Therefore, there is a subsequence still labeled by such that
(37) |
The straightforward computations show that is a convex function with respect to . It follows from [19, Theorem 8.1] that
(38) |
On the other hand, similar to (33), the following estimates hold,
(39) |
where is a constant depending on . This, together with (37), yields
(40) |
Therefore,
(41) |
Hence achieves its minimum at . Furthermore, one has
(42) |
This implies
(43) |
Therefore, we have
(44) |
Finally, given any and any function , obviously . Let . Since achieves its minimum at , one has The straightforward computations give
(45) |
This means that is a weak solution of (27). Hence the proof of the lemma is completed. ∎
From now on, denote . With Lemma 1, similar to the proof for [18, Proposition 4], we have the following two propositions.
Proposition 1.
For given , let
It holds that
(46) |
where is a positive constant depending on , independent of and .
Proposition 2.
Since is a weak solution of a quasilinear elliptic equation of divergence form, similar to [18, Lemmas 6 and 7], using the Nash-Moser iteration yields that there exists a positive constant such that
(48) |
2.2. The existence and uniqueness of the subsonic flows
Now, we are in position to prove the existence and uniqueness of the subsonic solution in the whole domain and remove the coefficients truncations (22) for the equation (27).
Lemma 2.
There exists a critical value such that if , then there exists a unique subsonic solution of (12). Moreover, is a continuous function of .
Proof.
For any fixed , choose large enough such that . Let be the solution of the truncated problem (27), and denote . Obviously, also satisfies (27), then
(49) |
Therefore, by the diagonal procedure, there exists a subsequence and a function such that
Furthermore, is a strong solution to
(50) |
Similar to the proof of [18, Lemmas 6 and 7], one gets
(51) |
Choosing small enough such that , then we have
Hence, indeed solves the problem (12).
Next, for the uniqueness of the uniformly subsonic solution, one may refer to [18] for the proof.
Finally, we show that depends on continuously. Let be a sequence satisfying and be the unique subsonic solution of (12) with mass flux . Then the Areza-Ascoli Theorem leads to that for some , one has
(52) |
where is the solution of (12) with mass flux . One can conclude that for this convergence is a continuous function of .
Let be a strictly increasing sequence satisfying . Because of the continuity of , there exists the largest such that
(53) |
Obviously . Moreover,
(54) |
Hence is bounded. Set . Therefore, for any , there exists an such that , . Moreover, for any , there exists an such that . Using the continuity of again yields that there exists an satisfying . ∎
3. Convergence rates at far fields
It follows from the study in [18] that the uniformly subsonic solution in Theorem 1 tends to an uniform state at far fields if the nozzle tends to be a straight one. In this section, we investigate the convergence rates of uniform subsonic flows at far fields and prove Theorem 2. Let be the uniformly subsonic solution of
(55) |
obtained in Theorem 1 which satisfies
(56) |
The basic idea is to establish the local energy decay via weighted energy estimates, which is the core part to get the convergence rates. The pointwise convergence rates is proved by the Nash-Moser iteration. The whole proof is divided into three sections. We start with the simple case where the nozzle boundary is straight when .
3.1. Energy estimates for the boundary is straight at far fields
Assume for with some positive constant . In this case, one has for . Let be the solution of (55) and . Obviously, satisfies
(57) |
Denote . Then satisfies
(58) |
where
(59) |
with
(60) |
The straightforward computations show that there exist two constants and such that
(61) |
Moreover, one can increase so that the following Poincar inequality holds on each cross section,
(62) |
For any , and are constants to be determined later. Denote
(63) |
Multiplying on both sides of (58) and taking integral on yield
(64) |
For the boundary term, one has
(65) |
Moreover, the conserved mass flux on each cross section implies
(66) |
Set . Combining (65) and (66) yields that
(67) |
It follows from (62) that
(68) |
Note that for , then
(69) |
Set , then we have the following estimate
(70) |
Taking , and yields
(71) |
Thus, there must be a positive constant such that
(72) |
3.2. Energy estimates for the boundary has the algebraic convergence
When the boundary satisfies (16), the unit outer normal direction of the boundary can be written as
where
Let be the solution of (55) and . Obviously, satisfies
(73) |
Denote . It is easy to check that satisfies
(74) |
where is same as in and satisfies (61). In fact, also satisfies
(75) |
On the boundary , it is easy to check that
(76) |
On the cross section , one has
(77) |
Let be a positive integer to be determined later. Choose and . Denote
Define
Let be defined in (63) and . Multiplying on both sides of the equation (74) and integrating on yield
(78) |
where at and is used. Thus
Set
One has
(79) |
We estimate one by one. Applying Hlder inequality to gives
(80) |
where the third inequality follows from the Poincar inequality (62). Similarly, one has
(81) |
Taking yields
(82) |
It follows from the definition of that
(83) |
For the boundary term , it follows from (76) that
(88) |
Now the key issue is to estimate the second term on the right hand side of (88). Define
As same as the estimate (46), one has
(89) |
It follows from (89) that
(90) |
Hence,
(91) |
Therefore, it follows from (88) and (91) that
(92) |
3.3. Pointwise convergence
In this section, we use Nash-Moser iteration to estimate in terms of the local energy -estimate obtained in Sections 3.1 and 3.2. This basic idea for oblique derivative boundary value problem for elliptic equation was used in [31, 18]. The key issue is the estimate near the boundary.
For any point with sufficiently large, let be the standard parametrization of in a small neighborhood of . Suppose that is the unit outer normal vector satisfying
(104) |
Define the map as follows
(105) |
Then the map, to make the boundary flat and satisfies
where is a neightborhood of , , and are uniform constants along the boundary of . Denote the Jacobian , then for any , there exists a constant such that
(106) |
Moreover, on the boundary the map also satisfies
(107) |
After changing variables, the problem (74) becomes
(108) |
where , and are the functions and in -coordinates, respectively. In fact, one also has
(109) |
For any , multiplying on both sides of (108) and integrating by parts yield
(110) |
Denote . Obviously, one has
(111) |
It follows from (109) and (110) that
(112) |
Denote . The definition of shows
(113) |
It follows from the assumption (16) that
(114) |
where Given satisfying , define
(115) |
Then
(116) |
The straightforward computations yield
(117) |
Define . It follows from (117) and the definition of that
(118) |
and
(119) |
Combining (112) and (119) yields
(120) |
where the boundary term is eliminated because of (116). Denote . Replacing by each in (120) and integrating by parts yield
(121) |
Now we use Nash-Moser iteration to get the norm of . We consider only the case . If does not hold, one can repeat the following proof for and , respectively. It is easy to see that
(124) |
For , denote with some and some nonnegative function . Direct calculations give
Replacing by for in (123) yields
(125) |
where the boundary term vanishes due to (124). The straightforward computations give
(126) |
and
(127) |
where . Denote
It follows from (118) and (122) that
(128) |
If , then we prove the pointwise bounds claimed in Theorem 2 . Hence we assume
(129) |
Therefore, one has
(130) |
Combining (126), (127), and (130) yields
(131) |
If we choose , then one has
(132) |
Therefore,
(133) |
Applying Sobolev inequality yields
(134) |
Set
Let satisfy
Choosing yields
Thus, one has
(135) |
where and . Note that
(136) |
Therefore, one has
(137) |
This implies that
(138) |
Set
Hence the estimate (138) can be written as
(139) |
Obviously,
(140) |
Therefore, one has
(141) |
Note that
Taking in (141) yields
(142) |
provided that (129) holds. Hence, we have
(143) |
It follows from the definition of , (117), (118) and (122), one has
(144) |
For the interior estimate, as same as the estimate for (144) with , and to obtain for any , one has
(145) |
In a word, when the boundary satisfies (16) and is sufficiently large, combining (144) and (145) yields
(146) |
For the case of the nozzle is a perfect cylinder for sufficient large, obviously the third component of the normal direction at the boundary is zero, i.e. . Applying the estimate (144) with , and yields that there is a positive constant such that
(147) |
Hence, the proof of Theorem 2 is finished.
Acknowledgement. The authors were supported partially by NSFC grants 11971307 and 11631008. Xie is also supported by Young Changjiang Scholar of Ministry of Education in China.
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