On the Dynamical Stability and Instability of Parker Problem
Fei Jiang, Song Jiang

TL;DR
This paper analyzes the stability of a magnetohydrodynamic system under gravity, showing how magnetic fields and boundary conditions influence the occurrence of Parker instability, with implications for astrophysical plasma stability.
Contribution
It introduces a discriminant criterion for stability versus instability in the Parker problem, highlighting the stabilizing role of magnetic fields and boundary conditions.
Findings
Stability depends on a discriminant $\\Xi$ related to physical parameters.
Strong magnetic fields can prevent Parker instability.
Boundary conditions significantly influence stability outcomes.
Abstract
We investigate a perturbation problem for the three-dimensional compressible isentropic viscous magnetohydrodynamic system with zero resistivity in the presence of a modified gravitational force in a vertical strip domain in which the velocity of the fluid is non-slip on the boundary, and focus on the stabilizing effect of the (equilibrium) magnetic field through the non-slip boundary condition. We show that there is a discriminant , depending on the known physical parameters, for the stability/instability of the perturbation problem. More precisely, if , then the perturbation problem is unstable, i.e., the Parker instability occurs, while if and the initial perturbation satisfies some relations, then there exists a global (perturbation) solution which decays algebraically to zero in time, i.e., the Parker instability does not happen. The stability results in this…
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Taxonomy
TopicsNavier-Stokes equation solutions · Cosmology and Gravitation Theories · Fluid Dynamics and Turbulent Flows
On the Dynamical Stability and
Instability of Parker Problem
Fei Jiang
Song Jiang
College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China.
Key Laboratory of Operations Research and Control of Universities in Fujian, Fuzhou, 350108, China.
Institute of Applied Physics and Computational Mathematics, P.O. Box 8009, Beijing 100088, China.
Abstract
We investigate a Parker problem for the three-dimensional compressible isentropic viscous magnetohydrodynamic system with zero resistivity in the presence of a modified gravitational force in a vertical strip domain in which the velocity of the fluid is non-slip on the boundary, and focus on the stabilizing effect of the (equilibrium) magnetic field through the non-slip boundary condition. We show that there is a discriminant , depending on the known physical parameters, for the stability/instability of the Parker problem. More precisely, if , then the Parker problem is unstable, i.e., the Parker instability occurs, while if and the initial perturbation satisfies some relations, then there exists a global (perturbation) solution which decays algebraically to zero in time, i.e., the Parker instability does not happen. The stability results in this paper reveal the stabilizing effect of the magnetic field through the non-slip boundary condition and the importance of boundary conditions upon the Parker instability, and demonstrate that a sufficiently strong magnetic field can prevent the Parker instability from occurring. In addition, based on the instability results, we further rigorously verify the Parker instability under Schwarzschild’s or Tserkovnikov’s instability conditions in the sense of Hadamard for a horizontally periodic domain.
keywords:
Compressible magnetohydrodynamic flow; Schwarzschild’s criterion; Parker instability; magnetic buoyancy instability; stability.
††journal:
1 Introduction
The equilibrium, in which a gas layer in a gravitational field is supported in part by a vertically decreasing horizontal magnetic field, is unstable [35], and such instability is called the Parker instability (or the magnetic buoyancy instability in some literatures). The behavior of the Parker instability can be described as follows. Suppose that magnetic field lines are disturbed and begin to undulate. The mass in the raised portion of a loop drains down along the field lines so that the loop to become lighter than the ambient medium. If the buoyancy at the loop top is larger than the restoring magnetics tension, the loop rises further and the instability sets in [57]. Parker noted that the falling mass accumulates in the magnetic valleys [51], and thus explained that some of the “large-scale” interstellar molecular cloud complexes can be formed in this way, since the growth rate of the instability is 10 times larger than that of the Jeans’s gravitational instability of the gas cloud.
Since Parker’s pioneering work [51], many physicists have continued to develop the linear theory and nonlinear numerical simulation of the Parker instability, see [44, 37, 36, 55, 45] and the references cited therein. Moreover, the physicists have considered the Parker instability to be also one of the possible mechanisms for other various astrophysical phenomenon [20], such as, the rising and falling motions of gases above the spiral arm [59, 62], the molecular loops in the Galactic center [13], the Barnard loop in Orion, the rise and emergence of magnetic flux tubes in the Sun and other stars [50, 2, 4, 46] as well as in accretion disks [6], the jets ejected from the centers of active galaxies [52], and so on. Recently, Khalzov et.al. first used the Madison Plasma Couette Experiment to model the Parker instability [33].
It has been also widely investigated how the Parker instability evolves under the effects of other physical factors, such as rotation [36], cosmic rays [39, 41], corona [32], self-gravity [8], nonuniform gravitational fields [20], random magnetic fields [34], and so on. The effect of boundary conditions of the velocity on the evolution of the Parker instability was investigated in our previous article [27]. Based on the linearized motion equations, Jiang et.al. have found a new phenomenon that the non-slip velocity boundary condition, imposed on the direction of a (equilibrium) magnetic field, can enhance the stabilizing effect of the field, so that the Parker instability can be prevented under a sufficiently strong magnetic field. The main aims in this article are to rigorously prove this new phenomenon (i.e., the inhibition effect of a magnetic field on the nonlinear Parker instability through a non-slip boundary condition), and the criterion that gives the nonlinear Parker instability by developing new mathematical techniques based on the nonlinear motion equations. Before stating our results, we formulate the problem mathematically.
1.1 Parker problem
The verification of the stabilizing effect of a magnetic field on the Parker instability through a non-slip boundary condition and the investigation of the criteria leading to the occurrence of the Parker instability can be reduced to the proof of stability and instability for a Parker problem of the magnetohydrodynamic (MHD) equations, respectively. In this article, we consider the following three-dimensional (3D) compressible isentropic viscous MHD equations with zero resistivity (i.e., without magnetic diffusivity) in the presence of a gravitational field in a domain read as follows (see, for example, [9, 40] on the derivation of the motion equations).
[TABLE]
Here the unknowns , and denote the density, velocity and magnetic field of the compressible MHD fluid, respectively; stands for the permeability of vacuum dividing by , for the gravitational constant, for the vertical unit vector, and for the gravitational force. is the coefficient of shear viscosity and with being the positive bulk viscosity. The pressure is usually determined through the equations of state. In this article we focus our study on the case of polytropic gas:
[TABLE]
where denotes the adiabatic index and is a constant. In the system (1.1) the equation (1.1)1 is the continuity equation, (1.1)2 describes the balance law of momentum, while (1.1)3 is called the induction equation. As for the constraint , it can be seen just as a restriction on the initial value of since due to (1.1)3. We remark that the resistivity is neglected in (1.1)3, and this arises in the physics regime with negligible electrical resistance.
Next, we construct a (magnetohydrostatic) equilibrium state to the MHD equations (1.1). Firstly, we choose a (equilibrium) density profile , which is independent of and satisfies
[TABLE]
The condition (1.3) prevents us from treating vacuum. Then, for given and , we defined a horizontal magnetic field profile with
[TABLE]
where is the pressure profile, denotes a primitive function and is a positive constant satisfying
[TABLE]
It is easy to see that (1.4) makes sense for a bounded domain , and
[TABLE]
where . Moreover,
[TABLE]
where . In what follows, we denote such equilibrium-state by .
It is well-known that the equilibrium-state is unstable, if the density profile further satisfies Schwarzschild’s (instability) condition [35]
[TABLE]
Such condition was not first found in the Parker instability problem, but in the (compressible thermal) convection problem studied by Schwarzschild in 1906 [56]. We mention that, for the convection problem, the pressure profile in Schwarzschild’s condition not only depends on a density profile, but also on a temperature profile due to the thermal effect, and often takes the form with being a gas constant. Later, Tserkovnikov further investigated the convection problem in the presence of a horizontal magnetic field (abbreviated as the magnetic convection (MC) problem), and obtained an instability condition [63] in 1960:
[TABLE]
However, in 1961, Newcomb [47] extended Tserkovnikov’s analysis by imposing no constraints on the perturbation wave vectors and found that Schwarzschild’s condition is not only the sufficient and necessary condition for the compressible thermal instability, but also for the instability in the MC problem, please refer to [68] for the physical interpretation for Newcomb’s and Schwarzschild’s conditions.
After Parker’s instability work in 1966, physicists further noted that the instability in the MC problem considered by Tserkovnikov and Newcomb not only involves the thermal instability, but also the Parker instability [64, 61, 35]. In particular, for the isentropic case (i.e., one omits the thermal effect and the pressure is of form (1.2)), Schwarzschild’s condition is equivalent to the magnetic buoyancy condition
[TABLE]
by virtue of the relations (1.5) and (1.2). In other words, under Schwarzschild’s condition, there exists a region, in which the strength of is vertically decreasing. Thus the corresponding magnetic pressure in (1.6) plays a role of the magnetic buoyancy [50], which is able to support more mass against gravity than would be possible in its absence. In view of (1.7) and (1.9), we can see that the mechanism of the Parker instability refers to the pressure state and the magnetic buoyancy. To emphasis the mechanism of the magnetic buoyancy, the Parker instability is often called the magnetic buoyancy instability (or the ballooning instability in fusion plasma physics [58]).
Finally, we mention a special density profile, i.e., satisfies the Rayleigh-Taylor condition
[TABLE]
for some . By (1.7), the equilibrium-state satisfying (1.10) is unstable. Since such density distribution is in close correspondence to the classical case of a heavy fluid supported by a light one, the Parker instability under such case is called the magnetic Rayleigh-Taylor instability [24], or the Kruskal-Schwarzschild instability due to the first investigation of Kruskal and Schwarzschild in 1953 [38], where they further pointed out that curvature of the magnetic lines can influence the development of instability.
Now, we introduce the Parker problem for the MHD equations around the equilibrium state . Denoting the perturbation to the equilibrium state by
[TABLE]
and using the relations in (1.6), we obtain the perturbation equations:
[TABLE]
We impose the following initial and boundary conditions for (1.11):
[TABLE]
The linearized equations of (1.11) around the equilibrium state read as
[TABLE]
where , and and denote the -th component of and , respectively. The system (1.14) with initial and boundary conditions (1.12)–(1.13) constitutes a linearized Parker problem, while the initial-boundary problem (1.11)–(1.13) is called the nonlinear Parker problem. The Parker instability, which is shown based on the linearized Parker problem, resp. the nonlinear Parker problem, is called the linear Parker instability, resp. the nonlinear Parker instability. At present, only the linear Parker instability under Schwarzschild’s condition or Tserkovnikov’s condition (1.8) is mathematically investigated, also for the case without viscosity.
1.2 Criterion for stability/instability
The linearized equations are convenient to analyze mathematically in order to have an insight into the physical and mathematical mechanisms of the Parker instability. Moreover, applying the energy principle [5] to the linearized Parker problem (1.12)–(1.14), Jiang et.al. have obtained criteria of stability/instability for the linearized Parker problem [27]. More precisely, in the case of a bounded domain , one has
- (1)
if , then the linearized Parker problem is stable; 2. (2)
if , then the linearized Parker problem is unstable,
where
[TABLE]
and
[TABLE]
here and in what follows and for .
We mention that by virtue of (1.5), can be rewritten as
[TABLE]
In view of the energy functionals (1.2) and (1.16), we can see that Schwarzschild’s condition or the magnetic buoyancy condition may make to be positive for some , thus contributing to the occurrence of the Parker instability. In particular, if is an infinite layer domain, Newcomb in 1961 found that Schwarzschild’s condition leads to the linear Parker instability in some sense by using the Fourier analysis method [47]. However, in the case of a bounded domain, Jiang et.al. [27] found the stabilizing effect of a strong (equilibrium) magnetic field through a non-slip boundary condition upon the Parker instability, even if the density profile satisfies the Schwarzschild’s condition. In fact, if we define
[TABLE]
then , since is bounded in the -direction. In view of (1.4), for given , , and , we can choose satisfying . Then, it is easy to verify that such satisfies . This infers that, under the non-slip boundary condition, a sufficiently strong has a remarkable stabilizing effect to prevent the Parker instability from occurring. It is well-known that a magnetic field has the stabilizing effect upon the Parker instability, but can not prevent the Parker instability from occurring in the case of an infinite layer domain. However, the non-slip velocity boundary condition in a bounded domain, imposed in the direction of the magnetic field, can enhance the stabilizing effect of the magnetic field, so that Schwarzschild’s criterion (1.7) of the Parker instability fails.
In this article, we further extend the above linear results to the nonlinear case by developing new mathematical techniques. In other words, we will rigorously verify that is also the discriminant for instability/stability of the nonlinear Parker problem (1.11)–(1.13) under some additional conditions. Moreover, for a horizontally periodic domain, we shall provide a rigorous mathematical proof of the nonlinear Parker instability under Schwarzschild’s or Tserkovnikov’s condition in the sense of Hadamard. The detailed results of nonlinear stability/instability will be presented in Section 2.
We end this section by deriving a upper-bound for , which may be useful in experimental researches and numerical simulations. From the definition of we see that , where
[TABLE]
Let , and
[TABLE]
where , , and , are the periodicity lengths. Then, one can choose sufficiently large and , such that can be regarded as a subspace of by horizontally periodic translation. Thus one has
[TABLE]
On the other hand, similarly to the derivation of [27, Proposition 5.1], we use the Fourier analysis method to infer that
[TABLE]
where it is easy to see that
[TABLE]
Consequently, we can deduce from (1.17)–(1.19) that . This means that for .
2 Main results
In this section we state the main results of this paper on instability/stability of the nonlinear Parker problem (1.11)–(1.13).
2.1 Reformulation of the nonlinear stability
In general, it is difficult to directly show the existence of a unique global-in-time solution to the Parker problem (1.11)–(1.13) defined on a general bounded domain when , since the magnetic field is difficult to control. To circumvent such difficulty, similarly to [30, 60], we switch our analysis to that in Lagrangian coordinates. We mention that such transformation method have been also used in the proof of global well-posedness of incompressible MHD equations, please refer to [67, 42, 43, 1].
To show the stability of the nonlinear Parker problem in Lagrangian coordinates, we assume that the domain is a vertical strip, i.e.,
[TABLE]
To make the expression (1.4) sense, in this article we modify the gravitational constant to be
[TABLE]
and suppose that
[TABLE]
Under the conditions (2.1)–(2.3) and (1.3), there always exists a constructed by (1.4). Moreover, satisfies
[TABLE]
We further assume that there is an invertible mapping , such that
[TABLE]
Then, defining the flow map as the solution to
[TABLE]
we denote the Eulerian coordinates by with , whereas stand for the Lagrangian coordinates. In order to switch back and forth from Lagrangian to Eulerian coordinates, we assume that is invertible and .
We define now the unknowns in Lagrangian coordinates by
[TABLE]
Thus, the evolution equations for , and in Lagrangian coordinates read as
[TABLE]
with initial and boundary conditions
[TABLE]
Here , the matrix via , and the differential operators , and are defined by , and . It should be noted that we have used the Einstein summation convention over repeated indices, and . Additionally, in view of the definition of , one can deduce the following two important properties:
[TABLE]
where , for and for . The relation (2.7) is often called the geometric identity. In addition, it is easy to check that, by the boundary conditions of and ,
[TABLE]
Our next goal is to eliminate in (2.6) by expressing them in terms of , and this can be achieved in the same manner as in [30, 60, 66]. We mention that this idea was also used in the proof of the global well-posedness for the Cauchy problem of incompressible or compressible MHD fluids without magnetic diffusivity [21, 22, 1]; please refer to [49, 54, 53, 43] for other relevant results of global well-posedness. For the reader’s convenience, we give the derivation here. It follows from (2.6)1 that
[TABLE]
which, together with (2.6)2, yields that
[TABLE]
Applying to (2.6)4, we can use (2.8) and (2.10) to infer that
[TABLE]
which implies , i.e.,
[TABLE]
In addition, applying -operator to the above identity and using the geometric identity, we obtain
[TABLE]
To obtain the time-asymptotical stability of the equilibrium state, we naturally expect
[TABLE]
Hence, from (2.7) and (2.11)–(2.13) it follows that
[TABLE]
which implies that
[TABLE]
provided the initial data satisfy
[TABLE]
Here and denote the initial data of and , respectively. We mention that, by (2.9) and the fact , we have on , where is the first component of .
Let
[TABLE]
Next we use to represent the (generalized) Lorentz force, the pressure term and the modified gravity term. By a straightforward computation, we can split the Lorentz force into
[TABLE]
where ,
[TABLE]
and
[TABLE]
On the other hand, by the expression of in (2.14) and , one has
[TABLE]
where
[TABLE]
Thus, inserting (2.18) into (2.17), we get
[TABLE]
Now we turn to dealing with the pressure term. It is easy to see that
[TABLE]
Applying -operator to the above identity, we find that
[TABLE]
where , and
[TABLE]
Finally, we represent the modified gravity term as follows.
[TABLE]
where .
Summing up the above calculations, we see that, if the initial data , , satisfy (2.15) and (2.5), then we can use the relations (2.19)–(2.21) and (2.16) to transform (2.6) into the following evolution equations for :
[TABLE]
and is given by (2.14), where we have utilized the equilibrium state in Lagrangian coordinates for (2.22), and denoted , and . The associated initial and boundary conditions read as
[TABLE]
In this paper, we call the initial-boundary problem (2.22)–(2.23) the transformed Parker problem. Compared with the original Parker problem (1.11)–(1.13), the transformed Parker problem enjoys a fine energy structure, so that one can establish the stabilizing effect of a horizontal magnetic field with the help of non-slip boundary condition by the energy method.
2.2 Nonlinear stability
Before stating our main result on the transformed Parker problem, we introduce some notations used throughout this paper. We denote
[TABLE]
The letter will denote a generic constant which may depend on the domain and the physical parameters, such as , , , and in the original perturbation equations (1.11). It should be noted that a product space of vector functions is still denoted by , for example, a vector function is denoted by with norm . Finally, we define some functionals:
[TABLE]
Now, our stability result of the transformed Parker problem reads as follows.
Theorem 2.1**.**
Let be a vertical strip domain, satisfy (2.3), (2.2) and (1.3), and be given by (1.4). If , then there is a sufficiently small , such that for any satisfying that
- (1)
; 2. (2)
* satisfies (2.5);* 3. (3)
* satisfies the compatibility conditions on boundary (i.e., for ),*
there exists a unique global solution to the transformed Parker problem (2.22)–(2.23). Moreover, enjoys the following stability estimate:
[TABLE]
Here the constant depends on and the physical parameters in the original perturbation equations (1.11).
Remark 2.1**.**
Since on boundary, then, if in Theorem 2.1 is sufficiently small, we can further have (referring to Lemma 4.2 in [26] for example)
[TABLE]
Thus one can recover a stability result in Eulerian coordinates from Theorem 2.1 by an inverse transformation of Lagrangian coordinates, referring to Theorem 1.2 in [28].
Next we briefly describe the basic idea in the proof of Theorem 2.1. By the energy method, there exist two functionals and of satisfying the lower-order energy inequality for the Parker problem (see Proposition 3.1)
[TABLE]
in which we can use the stability condition to show that the functional is equivalent to . Unfortunately, we can not close the energy estimates only based on (2.27), since can not be controlled by . However, we observe that the structure of (2.27) is very similar to the one of the surface wave problem studied in [18, 17], where Guo and Tice developed a two-tier energy method to overcome this difficulty. In the spirit of the two-tier energy method, we shall look after a higher-order energy inequality to match the lower-order energy inequality (2.27). Since contains , we can see that the higher-order energy includes at lest . Thus, similarly to (2.27), we are able to establish the higher-order energy inequality (see Proposition 4.1):
[TABLE]
where the functional is equivalent to by the stability condition. In the derivation of the a priori estimates, we have , and thus (2.27) implies (see Proposition 3.1)
[TABLE]
Consequently, with the help of the two-tier energy method, (2.28) and (2.29), we can deduce the global-in-time stability estimate (2.24).
We should remark that one of the main novelties in this article lies in that we further develop the stability condition to show that the energy functionals and constructed in (2.27) and (2.28) are equivalent to and , respectively. In fact, the energy of the Parker problem includes the term for and . Therefore, we naturally expect that should be positive under the stability condition. Otherwise, the two-tier energy method will fail. Exploiting the stability condition and the positivity of the term , we can derive that is equivalent to (see Lemma 3.4), which plays an important role in the proof of Theorem 2.1.
We mention that the basic idea of the two-tier energy method was also used to show the existence of the global stability solutions to the MHD problem [60], and the stabilizing effect of the magnetic field in the magnetic Rayleigh-Taylor problem [28].
Finally, in view of Theorem 2.1, we immediately obtain the existence of a unique global-in-time solution to the original Parker problem, which represents the strong stabilizing effect of the magnetic field through the non-slip boundary condition in the original Parker problem.
Theorem 2.2**.**
Let be a vertical strip domain, satisfy (2.3), (2.2) and (1.3), and be given by (1.4). If , then there is a sufficiently small , such that for any satisfying that
- (1)
there exists an invertible mapping such that (2.5); 2. (2)
; 3. (3)
, and , where ; 4. (4)
the initial data satisfies necessary compatibility conditions (i.e., for ),
there exists a unique global solution to the original Parker problem (1.11)–(1.13). Moreover, enjoys the following stability estimate:
[TABLE]
Here the constant depends on and the physical parameters in the original perturbation equations (1.11).
2.3 Nonlinear instability
As aforementioned, is the discriminant for the instability/stability of the linearized Parker problem. Next we give an existence result of a local unstable solution to the original Parker problem for , which, together with Theorem 2.2, implies that is also the discriminant for the instability/stability of the original Parker problem.
Theorem 2.3**.**
Let be a vertical strip domain, satisfy (2.3), (2.2) and (1.3), and be given by (1.4). If , then the Parker problem (1.11)–(1.13) is unstable, that is, there are positive constants and , and a quaternion , such that for any and the initial data , there is a unique classical solution of the Parker problem (1.11)–(1.13) on , but
[TABLE]
where satisfies the compatibility conditions () and , denotes the maximal time of existence of the solution , and , , and depend on and the physical parameters in the original perturbation equations (1.11).
Theorem 2.3 reveals that the Parker instability will occur for . Roughly speaking, Theorem 2.3 is proved based on a new version of the bootstrap method. The method of bootstrap instability probably started from Guo and Strauss’ works [15, 16]. Then, various versions of the bootstrap method have been developed in the study of dynamical instability of various physical models, please refer to [14, 23, 25, 10, 11, 12] for more details. Unfortunately, the known versions of the bootstrap method can not be directly applied to the Parker problem here due to the presence of the magnetic field and non-slip boundary condition. In this paper we develop a new version of the bootstrap method to overcome such difficulties and establish the Parker instability. The basic idea of our new bootstrap method can be found after Lemma 6.3, and the key technique mainly lies in the derivation of the error estimate (6.20) in Lemma 6.2, which is obtained by exploiting the structure of the original perturbation equations. Moreover, we develop an approach based on the elliptic theory to construct the compatible initial data of the nonlinear unstable solution by using the initial data of the linear unstable solution, see Lemma 6.1. We mention that Theorem 2.3 also holds for a bounded -domain by applying our new bootstrap method, and moreover, the smoothness requirements (2.2)–(2.4) can be relaxed.
2.4 Horizontally periodic domains
Now we further consider the case of a horizontally periodic domain, i.e.,
[TABLE]
where , , , and , are the periodicity lengths. Then we can verify that under Schwarzschild’s condition with sufficiently large or Tserkovnikov’s condition. The detailed verification will be presented in Section 7. Hence, we can follow the proof of Theorem 2.3 to establish the nonlinear Parker instability under Schwarzschild’s or Tserkovnikov’s condition.
Before stating our nonlinear Parker instability results in a horizontally periodic domain, we introduce some notations:
[TABLE]
where we have omitted to mention that should make the denominators and square roots sense in the definitions of and . Next we state the main results.
Theorem 2.4**.**
Let , be defined by (2.32), be a constant, satisfy (1.3), and be given by (1.4). If one of the following two assumptions holds
- (1)
* satisfies Schwarzschild’s condition (1.7), and ;* 2. (2)
* satisfies Tserkovnikov’s condition (1.8);*
then, the Parker problem (1.11)–(1.13) is unstable as in Theorem 2.3.
Remark 2.2**.**
By virtue of Schwarzschild’s condition, there exists an open interval , such that
[TABLE]
Then we choose a function such that
[TABLE]
whence,
[TABLE]
which implies that must be a positive constant. Moreover, for given , we have
[TABLE]
Remark 2.3**.**
It should be noted that Schwarzschild’s condition is equivalent to the magnetic buoyancy condition. Hence, Theorem 2.4 tells us that if there is a point, at which the magnetic buoyancy points oppositely to the direction of the gravity field in the equilibrium state , then the Parker problem is unstable. If the direction of the magnetic buoyancy is in line everywhere with the direction of the gravity field in the equilibrium state, i.e., Schwarzschild’s condition fails, then we have for a vertical strip domain with non-slip boundary condition, which immediately implies that the Parker problem is stable by virtue of Theorem 2.2. We can observe that the proof of Theorem 2.2 strongly depends on the non-slip condition in the horizontal direction. A question arises whether this stability conclusion in Theorem 2.2 can be generalized to a horizontally periodic domain. We shall further investigate this question in a separate article.
Remark 2.4**.**
If and , we can establish a Gronwall-type inequality as (3.39) in [29, Proposition 3.2] for the classical solution of the Parker problem. Thus we can deduce a more precise result on the nonlinear Parker instability for both 2D and 3D cases by a standard bootstrap method, in which the third component of the velocity is unstable in as (1.10) in [29, Theorem 1.1].
Similarly, we can also establish the following nonlinear Parker instability result in the 2D case.
Theorem 2.5**.**
Let , , be a constant, satisfy (1.3), and be given by (1.4). If and , then the Parker problem (1.12)–(1.14) in the 2D case is unstable as in Theorem 2.4.
Remark 2.5**.**
It is interesting to notice that the definition of is very similar to the critical number of the 3D incompressible magnetic RT problem around a vertical equilibrium magnetic field, where
[TABLE]
and for , please refer to [29, Theorem 1.1]. Moreover, is also the critical number of the 2D incompressible magnetic RT problem around a horizontal equilibrium magnetic field, please refer to [65].
Remark 2.6**.**
Under Schwarzschild’s condition, we can have that
[TABLE]
Moreover, as for a given . On the other hand, if , we can use the Fourier analysis method to obtain for any , which implies . Thus we see that a sufficiently large horizontal magnetic field has the stabilizing effect in the 2D case. This conclusion agrees with the result for the 2D incompressible magnetic RT problem around a horizontal equilibrium magnetic field. In addition, if and , under Schwarzschild’s condition, we can derive that
[TABLE]
please refer to [29, Proposition 2.1] for the proof.
The rest sections are mainly devoted to the proof of Theorems 2.1–2.5. In Section 3 we first derive the lower-order energy inequality (2.29) of the transformed Parker problem. Then in Section 4, we derive the higher-order energy inequality (2.28). Finally, based on the previous two energy inequalities, we show Theorem 2.1 by applying the two-tier energy method, and further deduce Theorem 2.2 from Theorem 2.1 in Section 5. In Section 6, we develop a new version of the bootstrap method to prove Theorem 2.3. Finally, we verify that under the assumptions of Theorem 2.4–2.5 in Section 7.
3 Lower-order energy inequality
In this section we derive the lower-order energy inequality for the transformed Parker problem. To this end, let be a solution of the transformed Parker problem, such that
[TABLE]
where is sufficiently small. It should be noted that the smallness depends on the domain and the physical parameters in the perturbation equations (1.11). Moreover, we assume that the solution possesses proper regularity, so that the procedure of formal calculations makes sense. In the calculations that follow, we shall repeatedly use Cauchy-Schwarz’s inequality, Hölder’s inequality, and the embedding inequalities (see [3, 4.12 Theorem])
[TABLE]
and the interpolation inequality in (see [3, 5.2 Theorem])
[TABLE]
for any and any constant , where the constant depends on and . In addition, we shall also repeatedly use the following two estimates:
[TABLE]
and
[TABLE]
where (3.5) can be easily verified by Hölder’s inequality and the embedding inequalities (3.2)–(3.3).
Before deriving the lower-order energy inequality defined on , we first give some preliminary estimates, temporal derivative estimates, -derivative estimates (i.e., the estimates of partial derivatives with respect to and ) and -derivative estimates (i.e., the estimates of partial derivatives with respect to , and ) in sequence.
3.1 Preliminary estimates
In this subsection we introduce some preliminary estimates on , , and , which will be repeatedly used in estimating later.
Lemma 3.1**.**
The following estimates hold.
[TABLE]
where , and .
Proof 1**.**
Recalling the definition of and using the expansion theorem of determinants, we find that
[TABLE]
where () denotes the homogeneous polynomial of degree with respect to for , . Using (3.5), (3.3), and the smallness condition (3.1), we immediately get (3.8) and (3.7). Similarly, we easily obtain (3.9) from (3.13) and (2.22)1.
*By (3.13) and (3.7), we have (3.10) and , which implies *
[TABLE]
Thus, we obtain (3.11) by using (3.5) and the smallness condition.
Finally, noting that
[TABLE]
we make use of (3.9) and (3.5) to get (3.12) immediately. This completes the proof.
Lemma 3.2**.**
It holds that
[TABLE]
where , , and .
Proof 2**.**
Recalling the definition of , we see that , where is the algebraic complement minor of -th entry in the matrix and the polynomial of degree or with respect to for , . Thus, employing (3.10), (3.3) and the smallness condition, we obtain (3.14).
Using (3.11), (3.5), (2.22)1 and the smallness condition, we have
[TABLE]
Thus we can further make use of the above three estimates, (3.12) and (3.5) to deduce that
[TABLE]
which yields (3.15).
We proceed to evaluating . Since is assumed to be so small that the following power series holds.
[TABLE]
whence,
[TABLE]
Hence, we can use (3.5) to deduce (3.16) from (3.17) for sufficiently small . The proof is complete.
Lemma 3.3**.**
It holds that
[TABLE]
Proof 3**.**
Since is a linear combination of for , , , it suffices to verify the above estimates with in places of . By a straightforward calculation, we find that
[TABLE]
Putting the above relations into the expressions of –, we use Lemmas 3.1–3.2, (3.4)–(3.5) and (2.2)–(2.4) to see that (3.18)–(3.21) hold with in place of for , , . This completes the proof.
Finally, we derive an important estimate from the stability condition.
Lemma 3.4**.**
If , then
[TABLE]
where is defined by (1.2).
Proof 4**.**
Since , one has , which, together with (3.6), yields
[TABLE]
On the other hand, by virtue of (1.3),
[TABLE]
which, combined with (2.2), (2.3) and the relation
[TABLE]
results in
[TABLE]
where the positive constants and depend on and the physical parameters. Therefore, the desired conclusion follows from (3.24), (3.22) and (3.6) immediately.
3.2 Temporal derivative estimates
In this subsection we establish the estimates of temporal derivatives. To this end, we apply to (2.22) to get
[TABLE]
where
[TABLE]
Moreover, making use of (3.16), (3.15), (3.12), (3.5), and interpolation inequality, we easily infer the following estimates on :
[TABLE]
Then we can further deduce the following estimate.
Lemma 3.5**.**
It holds that
[TABLE]
Proof 5**.**
Multiplying (3.25)2 with by , integrating (by parts) the resulting equality over and using (2.7), we obtain
[TABLE]
On the other hand, making use of (3.26), (3.19), (3.15), (3.14), (3.9) and (3.7), the seven integral terms – can be bounded as follows.
[TABLE]
Thus, plugging the above seven estimates into (3.29) and applying Cauchy-Schwarz’s inequality, one obtains Lemma 3.5 immediately.
3.3 -derivative estimates
In this subsection we establish the -derivative estimates. To this end, we rewrite (2.22) as the following non-homogeneous linear form:
[TABLE]
where
[TABLE]
Moreover, we employ (3.16), (3.15), (3.5), and the interpolation inequality to control the term as follows.
[TABLE]
Thus, we have the following bounds on .
Lemma 3.6**.**
It holds that
[TABLE]
where when and when .
Proof 6**.**
Here we only prove the case and the rest three cases can be shown in the same manner. Applying to (3.30)2, multiplying the resulting equality by , and then using (3.30)1, we find that
[TABLE]
Integrating (by parts) the above identity over , we have
[TABLE]
where the first seven integrals on the right hand of (3.36) are denoted by –, respectively.
In view of (2.2) and (2.3), we see that can be bounded as follows.
[TABLE]
[TABLE]
and
[TABLE]
Inserting the above three estimates into (3.36), we deduce by (3.6) and (1.5) that
[TABLE]
On the other hand, by (3.31), (3.18), (3.12), (3.11) and (3.3), we have
[TABLE]
Consequently, putting the above four estimates into (3.40), and using Lemma 3.4, (3.6) and Cauchy-Schwarz’s inequality, we deduce the desired conclusion for the case .
Similarly, we can also establish the -derivative estimates on .
Lemma 3.7**.**
It holds that
[TABLE]
for .
Proof 7**.**
We only show the case and the rest cases can be proved in the same manner. We apply to (3.30)2 and multiply the resulting equation by to get
[TABLE]
Integrating (by parts) the above identity over , one has
[TABLE]
Similarly to (3.37)–(3.39), the three integrals – can be controlled as follows.
[TABLE]
and
[TABLE]
Substituting the above three estimates into (3.45), using (3.6) and (1.5), we conclude that
[TABLE]
On the other hand, similarly to (3.41)–(3.44), one obtains
[TABLE]
Consequently, inserting the above inequality into (3.49), and using (3.6) and Cauchy-Schwarz’s inequality, we obtain Lemma 3.7.
3.4 -derivative estimates
In this subsection we derive the -derivative estimates of and . Similarly to the incompressible magnetic RT problem see [28, Lemma 2.4]), we focus on the term and extract the following equations from the second and third components of (3.30)2:
[TABLE]
Meanwhile, the first component of (3.30)2 can be written as
[TABLE]
where , and .
Noting that the order of in the linear part on the right hand side of (3.50) is lower than that on the left hand side, this feature provides a possibility that the -derivative estimates of can be converted to the -derivative estimates of . Similarly, (3.51) also provides a possibility that the -derivative estimates of can be converted to the the -derivative estimates of by the relation . Based on these basic observations, we can establish the following -derivative estimates on .
Lemma 3.8**.**
We have
[TABLE]
where the energy functional satisfies
[TABLE]
for some positive constant , depending on and other physical parameters.
Proof 8**.**
Applying to (3.51), using (3.8), (3.5) and Cauchy–Schwarz’s inequality, we deduce that for ,
[TABLE]
which, together with (3.23) and (1.3), gives
[TABLE]
Similarly, one easily deduces from (3.50) that
[TABLE]
Thus, using (3.23) and (3.6), we infer from (3.53) and (3.54) that
[TABLE]
Adding up (3.55) from [math] to , one gets
[TABLE]
In addition, we can use the relation (3.23) and the estimate
[TABLE]
to find that
[TABLE]
and
[TABLE]
for some positive constants . Thus, we can further deduce from (3.56)–(3.58) that
[TABLE]
where satisfies
[TABLE]
for some positive constants and .
If we take in (3.59), we get
[TABLE]
On the other hand, by virtue of (3.31) and (3.18),
[TABLE]
which combined with (3.60) gives the lemma.
Now, we turn to the derivation of -derivative estimates of . If we apply to (3.30)2, we obtain
[TABLE]
where
[TABLE]
Hence, one can apply the classical elliptic regularity theory to the above Lamé system [31, 7] to get
[TABLE]
where and
[TABLE]
Lemma 3.9**.**
We have
[TABLE]
Proof 9**.**
In view of (3.61) with , one has
[TABLE]
On the other hand, it follows from (3.31) and (3.18) that
[TABLE]
Therefore, we obtain (3.62) from the above two estimates.
To show (3.63), we take in (3.61) to find that
[TABLE]
Utilizing (3.34), (3.19), (3.12) and (3.5), we have
[TABLE]
The above two estimates give then (3.63). The proof is complete.
3.5 Lower-order energy inequality
Now we are ready to build the lower-order energy inequality. In what follows the letters , , will denote generic positive constants which may depend on and the physical parameters in the perturbation equations.
Proposition 3.1**.**
Under the assumption (3.1), if is sufficiently small, then there is an energy functional that is equivalent to , such that
[TABLE]
Proof 10**.**
Noting that (3.4) still holds in the two-dimensional case, we have
[TABLE]
Making use of the above interpolation inequality, Lemmas 3.6–3.7 and (3.6), we see that there is a constant , such that
[TABLE]
holds for any , where
[TABLE]
and depends on and the physical parameters.
Putting the estimate (3.64) and Lemma 3.8 together, we arrive at
[TABLE]
which, together with (3.63), Lemma 3.5 and the interpolation inequality, yields
[TABLE]
So, for a given , we can further deduce from (3.65) and Lemmas 3.6–3.7 with that there is a constant , such that
[TABLE]
where
[TABLE]
and depends on , and the physical parameters.
Obviously, to prove the proposition, it suffices to show
[TABLE]
and
[TABLE]
We next verify these two facts.
Thanks to (3.16), (3.11), (3.7) and (3.6), it is easy to see that for sufficiently small ,
[TABLE]
Moreover, is equivalent to the norm . Thus, making use of Cauchy-Schwarz’s inequality, (3.52), Lemma 3.4, and (3.6), we conclude
[TABLE]
by choosing sufficiently large constants and . Combining (3.70) with (3.62), one arrives at
[TABLE]
In particular, for sufficiently small . On the other hand, by Cauchy-Schwarz’s inequality we observe that . This gives (3.67).
Finally, from (3.63) we get , which implies (3.68) for sufficiently small . With (3.67) and (3.68) in hands, we immediately obtain the desired conclusion from (3.66) by defining and choosing .
4 Higher-order energy inequalities
In this section we derive the higher-order energy inequalities for the transformed Parker problem. We shall first establish the higher-order versions of Lemmas 3.5–3.9 in sequence.
Lemma 4.1**.**
It holds that
[TABLE]
Proof 11**.**
Multiplying (3.25)2 with by , integrating then (by parts) the resulting equations over , and using (2.22)1 and (2.7), we get
[TABLE]
where the first two integrals on the right hand side can be written as
[TABLE]
and
[TABLE]
Substituting the above two identities into (4.1) and using (1.5), we arrive at
[TABLE]
where the terms on the right hand side can be bounded as follows, using (3.28), (3.21), (3.11) and (3.7).
[TABLE]
Consequently, inserting the above three inequalities into (4.2) and using (3.69), we obtain the lemma.
Lemma 4.2**.**
It holds that
[TABLE]
Proof 12**.**
We only prove the case , while the rest cases can be shown in the same way. Following the process of deriving (3.40), we obtain
[TABLE]
where
[TABLE]
and can be estimated as follows, using (3.33), (3.18), and (3.12), (3.11) and the smallness condition.
[TABLE]
Consequently, if we insert the above four inequalities into (4.3) and use (3.6), we obtain Lemma 4.2.
Lemma 4.3**.**
It holds that
[TABLE]
Proof 13**.**
We only prove the case , since the rest cases are similar to deal with. Following the derivation of (3.49), one deduces that
[TABLE]
where
[TABLE]
On the other hand, similarly to (4.4)–(4.7), we have
[TABLE]
Inserting the above estimate into (4.8), we can use (3.6) and Cauchy-Schwarz’s inequality to obtain the desired estimate.
Lemma 4.4**.**
It holds that
[TABLE]
where the energy functional satisfies and is a positive constant depending on and the physical parameters in the perturbation equations.
Proof 14**.**
The lemma easily follows from (3.33), (3.18) and (3.59).
Lemma 4.5**.**
We have
[TABLE]
Proof 15**.**
(1) Taking in the Stokes estimate (3.61) and using (3.11), we find that
[TABLE]
On the other hand, it follows from (3.32) and (3.18) that . Therefore,
[TABLE]
If one utilizes (3.11), (2.22)1 and the recursion formula (3.61) with for and , one obtains
[TABLE]
On the other hand, from (3.34), (3.20), (3.19), (3.12) and (3.5) we get
[TABLE]
Thus,
[TABLE]
which, together with (4.11), yields
[TABLE]
Finally, employing the interpolation inequality, we get (4.9) from (4.13).
(2) We now turn to the proof of (4.10) for higher-order dissipation estimates. Making use of (3.11), (2.22)1 and the recursion formula (3.61) with for to , we obtain
[TABLE]
On the other hand, it follows from (3.35), (3.21), (3.12), (3.5) and the interpolation inequality that
[TABLE]
Finally, exploiting the interpolation inequality again, we get (4.10) from (4.14) and (4.15).
Now, we are ready to build the higher-order energy inequalities. In what follows the letters , , will denote generic constants which may depend on and the physical parameters in the perturbation equations.
Proposition 4.1**.**
Under the assumption (3.1), if is sufficiently small, then there is a norm , which is equivalent to , such that
[TABLE]
Proof 16**.**
Similarly to (3.64), we employ Lemmas 4.2–4.3, (3.6) and the interpolation inequality to see that there is a constant , such that
[TABLE]
for any , where
[TABLE]
and depends on and the physical parameters.
On the other hand, analogously to (3.65), we use (4.10) and the interpolation inequality to deduce from (4.16), Lemmas 4.4 and 4.1 that
[TABLE]
which, together with Proposition 3.1, implies that there is a constant , such that
[TABLE]
where
[TABLE]
[TABLE]
Similarly to (3.67) and (3.68), we can utilize Lemma 4.5, (3.10) and the fact that
[TABLE]
to deduce that is equivalent to and by choosing sufficiently large constants and which depend on and the physical parameters. Consequently, one obtains the desired conclusion from (4.18) by defining and choosing .
Finally, the following lemma will be needed in estimating the initial energy in the next section.
Lemma 4.6**.**
Under the assumption (3.1), if is sufficiently small, then , where .
Proof 17**.**
In view of (4.9), we have , which gives
[TABLE]
Next, we show that the -norm of and can be controlled by .
Multiplying (3.25)2 with by in , we arrive at
[TABLE]
Employing (3.16), (3.10), (3.5) and (1.3), we see that
[TABLE]
which, together with (3.27) and (3.20), yields
[TABLE]
Here can be bounded as follows, using (3.16), (3.8), (3.5) and (3.25)2 with .
[TABLE]
which, together with (3.26) and (3.19), results in
[TABLE]
Similarly, we can show that
[TABLE]
As a result, we infer from (4.20)–(4.22) that
[TABLE]
Now, substituting (4.23) and (4.22) into (4.19), we obtain the lemma.
5 Proof of Theorems 2.1 and 2.2
This section is devoted to the proof of Theorems 2.1 and 2.2. Theorem 2.1 can be shown by establishing the stability estimate (2.24) and the local well-posedness of the transformed Parker problem. With Theorem 2.1 in hand, we can easily obtain Theorem 2.2 by transforming Lagrangian coordinates to Eulerian coordinates.
5.1 Stability estimate
In this subsection we show the stability estimate (2.24) under the assumption
[TABLE]
which is stronger than (3.1).
Proposition 4.1 implies
[TABLE]
Then we can use (5.1) to give
[TABLE]
which implies that
[TABLE]
We now show the decay estimate of . Note that can be controlled by except for . To control , we use the interpolation inequality (3.4) to get
[TABLE]
On the other hand, it follows from (5.2) and (3.67) that
[TABLE]
whence,
[TABLE]
Inserting the above estimate into the lower-order energy inequality in Proposition 3.1, we obtain
[TABLE]
which implies
[TABLE]
where for some positive constant . Hence,
[TABLE]
Now we add (5.2) to (5.3) to conclude . On the other hand, thanks to Lemma 4.6, . Therefore, . Consequently, the stability estimate can be summarized as follows.
Proposition 5.1**.**
Let be a solution of the transformed Parker problem (2.22), (2.23). Then there is a sufficiently small , such that enjoys the following stability estimate:
[TABLE]
provided that for some , where denotes a constant depending on and the physical parameters in the perturbation equations.
5.2 Local well-posedness
Now we introduce the local existence of a small classical solution to the transformed Parker problem.
Proposition 5.2**.**
There exists a sufficiently small , such that for any given initial data satisfying
[TABLE]
and compatibility conditions (i.e., , for ), there are a , depending on , and the known physical parameters, and a unique classical solution , to the transformed Parker problem (2.22), (2.23). Moreover, for , , and
[TABLE]
and is a continuous function on .
Remark 5.1**.**
In view of the definition of , we have
[TABLE]
where denotes a constant depending on and the physical parameters.
Proof 18**.**
The transformed Parker problem is very similar to the surface wave problem (1.4) in [19]. Moreover, our problem indeed is simpler than the the surface wave problem due to the non-slip boundary condition . Using a standard iteration method as in [19], we can easily prove Proposition 5.2, and hence we omit the proof here. In addition, the continuity, such as , and so on, can be verified by using the regularity of , the transformed perturbation equations and a standard regularized method.
5.3 Proof of Theorem 2.1
Now we are in a position to show Theorem 2.1. Let the initial data satisfy the assumptions in Theorem 2.1, where in Theorem 2.1 further satisfies
[TABLE]
and , are the same as in Propositions 5.1 and 5.2 respectively. Then, by Proposition 5.2, there exists a solution , defined on , to the transformed Parker problem where denotes the maximal existence time, such that is continuous for any . Obviously, . We denote
[TABLE]
then by (5.5) and the continuity of . Next we show by contradiction.
Assume . By virtue of Proposition 5.2, . Then one has
[TABLE]
by the continuity of on . On the other hand, noting that , we see that satisfies (5.4) with in place of . Thus, by the conditions and (5.6), we further obtain a more precise estimate
[TABLE]
which is a contradiction. Hence , and we obtain a global solution to the transformed Parker problem, which satisfies (2.24). Finally, the uniqueness of the global solution can be easily verified by the standard energy method. This completes the proof of Theorem 2.1.
5.4 Proof of Theorem 2.2
To show Theorem 2.2, let satisfy the assumptions of Theorem 2.2. Then, for sufficiently small , we can use the standard iteration method as in [29, Proposition 3.1] to see that there are a and a unique classical solution of the original Parker problem. Moreover, for , and
[TABLE]
Let , where is given by Theorem 2.2. Noting that by the first two initial conditions in Theorem 2.2 for sufficiently small , one sees that and satisfy the first two conditions in Theorem 2.1, and by the the first two conditions in Theorem 2.2. On the other hand, employing the last two conditions in Theorem 2.2, we can moreover verify that satisfies the third condition in Theorem 2.1 by following the derivation of (2.22)2 from (1.11)2. Hence, satisfies the three conditions in Theorem 2.1 for sufficiently small .
Now one can use the initial data and Theorem 2.1 to construct a classical unique solution to the transformed Parker problem, which satisfies the stability estimate (2.24) as . Thus, we can choose a sufficiently small , so that there exists a continuously differential invertible function of . Let
[TABLE]
In view of the relations
[TABLE]
we see that is a classical solution to the original Parker problem. Moreover, by a standard uniqueness proof, we have , and therefore, one obtains the existence of a unique global solution in Theorem 2.2. Finally, recalling that satisfies the stability estimate (2.24) as , we make use the relations (5.8)–(5.11) to deduce the stability estimate (2.30). This completes the proof of Theorem 2.2.
6 Proof of Theorem 2.3
In this section we prove Theorem 2.3. To begin with, we introduce the instability of the linearized Parker problem (1.12)–(1.14) and the local well-posedness of strong solutions to the original Parker problem (1.11)–(1.13).
Proposition 6.1**.**
Under the assumptions of Theorem 2.3, the equilibrium state of the linearized Parker problem (1.12)–(1.14) is unstable, that is, there is an unstable solution in the form
[TABLE]
of (1.12)–(1.14), where solves the boundary value problem:
[TABLE]
with being a constant satisfying
[TABLE]
where
[TABLE]
and
[TABLE]
Moreover,
[TABLE]
Proof 19**.**
Proposition 6.1 has been proved in [27, Theorem 2.1], where the considered domain is a bounded -domain and is a positive constant. Next, we denote the the bounded -domain in [27, Theorem 2.1] by , and show how to modify the proof in [27] to establish Proposition 6.1 in a strip domain here.
(1) Since is a -bounded domain, is compactly embedded in . In the derivation of the first conclusion in [27, Proposition 2.1], Jiang et.al. used this fact to derive that
[TABLE]
and
[TABLE]
where is the limit of a subsequence of a maximizing sequence of . More precisely, and
[TABLE]
Since and (6.6) holds for a bounded subdomain of an unbounded domain, (6.4) still holds for a strip domain . However, by the lower semi-continuity of weak convergence, we only have .
To show (6.5) with in place of , we argue by contradiction. From the instability condition we get for sufficiently small that , which implies . Now we assume that , then
[TABLE]
which is a contradiction. Hence, .
(2) In view of the proof of Proposition 4.2, we observe that if is a weak solution of the boundary value problem (6.1) with a bounded -domain in place of . This conclusion also holds for the strip domain by employing the same domain expansion technique as in the derivation of (3.7) in [31].
(3) Jiang et.al. in [27] used Poincaré’s inequality
[TABLE]
to derive (3.7). Obviously, this inequality still holds for the strip domain , see (3.6).
With the above facts, we easily establish Proposition 6.1 by following the proof of [27, Theorem 2.1].
Proposition 6.2**.**
Under the assumptions of Theorem 2.3, for any given initial data satisfying , the compatibility conditions for , and , there exist a and a unique classical solution to the original Parker problem, where enjoys the following properties:
[TABLE]
where denotes the maximal time of existence of the solution . In addition, if
[TABLE]
then
[TABLE]
for any , where the constant only depends on and the known physical parameters in the perturbation equations.
Proof 20**.**
Proposition 6.2 can be established by a standard iteration scheme as in [29, Proposition 3.1], and hence, we omit its proof here which involves only tedious calculations. Here we only show (6.8).
Recalling (1.6) and the relation
[TABLE]
we can write (1.11)2 as follows
[TABLE]
Multiplying the above identity by in and using (6.7), we deduce that, for any ,
[TABLE]
where the constant depends on . So, one can use (6.7) again to get
[TABLE]
Using (1.11)1 and (1.11)3, we have
[TABLE]
From the above three estimates we get (6.8) immediately.
We next use Propositions 6.1–6.2 to construct unstable solutions to the original Parker problem. To this end, we first use Proposition 6.1 to give a solution of the linearized perturbation equations (1.14) in the form:
[TABLE]
where
[TABLE]
Now, denote
[TABLE]
Then, solves the linearized perturbation equations (1.14) with initial data , and satisfies
[TABLE]
In the rest of this paper, we call (6.10) an approximate solution of the original Parker problem for fixed .
Secondly, we modify the initial data to construct a solution of the original Parker problem for sufficiently small .
Lemma 6.1**.**
Let be the same as in (6.9). Then there are an error function and a constant depending on , such that for any ,
- (1)
The modified initial data
[TABLE]
satisfies the compatibility conditions on boundary of the Parker problem (1.11)–(1.13). 2. (2)
* satisfies the following estimate:*
[TABLE]
where the constant depends on and other physical parameters, but is independent of .
Proof 21**.**
Note that satisfies
[TABLE]
Hence, if the modified initial data satisfy (6.12), then we expect to satisfy the following problem:
[TABLE]
Thus the modified initial data naturally satisfy the compatibility conditions on boundary.
Next we shall look for a solution to the boundary problem (6.13) when is sufficiently small. We begin with the linearization of (6.13) which reads as
[TABLE]
with boundary condition
[TABLE]
Let , then it follows from the elliptic theory that there is a solution of (6.14)–(6.15) satisfying
[TABLE]
where depends on and the physical parameters. Now, taking , we have for any that . Therefore, one can construct an approximate function sequence , such that
[TABLE]
and for any , and for some constant independent of and .
Finally, we choose a sufficiently small so that , and use then a compactness argument to get a limit function which solves the nonlinear boundary problem (6.13). Moreover . Thus we have proved Lemma 6.1.
Now, in view of the condition and the embedding inequality (3.3), we can choose a sufficiently small , such that
[TABLE]
Thus, by virtue of Proposition 6.2, for any given , there exists a unique local-in-time classical solution to the original Parker problem, emanating from the initial data .
Thirdly, we estimate the error between the approximate solution and . Denote . Then satisfies the following error equations:
[TABLE]
where
[TABLE]
with initial conditions
[TABLE]
and
[TABLE]
Moreover, we can deduce the following error estimate from the error equations, which plays a key role in the proof of Theorem 2.3.
Lemma 6.2**.**
Let and . Denote
[TABLE]
If , and satisfies (6.7) and
[TABLE]
then there is a constant , such that
[TABLE]
where is defined by (6.8) and
Remark 6.1**.**
It should be remarked that (6.7) automatically holds for sufficiently small . In fact, by virtue of (3.3), there is a positive constant , such that (6.7) holds for any satisfying .
Proof 22**.**
From Lemma 6.1 one gets
[TABLE]
Thus, in view of the regularity of and the estimate (6.8), we see that . Moreover, by the definition of ,
[TABLE]
or
[TABLE]
We next show (6.20). By (6.17)2 we find that
[TABLE]
On the other hand, arguing similarly to that for (3.46)–(3.48), we use (6.17)1, (6.17)3, to infer that the first two integrals and can be written as follows.
[TABLE]
where
[TABLE]
Thus the equality (6.23) can be rewritten as
[TABLE]
Recalling that , we integrate (6.24) in time from [math] to to get
[TABLE]
where
[TABLE]
are bounded from below.
Multiplying (6.17)2 by in , one gets
[TABLE]
Applying (6.7) and Cauchy-Schwarz’s inequality, we obtain
[TABLE]
From the definition of it follows that
[TABLE]
So, using (6.27), (6.21), (6.19), (6.7), the interpolation inequality (3.4), and the Nirenberg interpolation inequality (see [3, 5.8 Theorem])
[TABLE]
we arrive at
[TABLE]
Chaining the estimates (6.26) and (6.29) together and taking then to the limit as , we apply Lemma 6.1 and (6.18) to obtain the following estimate on :
[TABLE]
To bound , recalling the definition of , we have
[TABLE]
By the interpolation inequality [48, Theorem 1.49] in , (3.4) in and the embedding inequality (3.2), we see that
[TABLE]
from which, (6.28) and the embedding inequality it follows that
[TABLE]
Plugging (6.32) into (6.31), we make use of (6.27), (6.21) and Hölder’s inequality to conclude
[TABLE]
Now, to control , we integrate by parts and use Hölder’s inequality to find that
[TABLE]
where the terms on the right hand side can be estimated as follows, employing (6.28), (6.27), (6.21) and (6.19).
[TABLE]
while one can utilize (6.27), (6.21), (6.7), and (3.2) to deduce that
[TABLE]
Finally, similar to the derivation of (6.34) and (6.35), one has
[TABLE]
Thus, summing up the estimates (6.34)–(6.36), (6.33) and (6.30), we use Young’s inequality to infer
[TABLE]
Combining (6.25) with (6.37), one obtains
[TABLE]
Thanks to (6.2), we have
[TABLE]
On the other hand,
[TABLE]
Combining the above three inequalities together, we arrive at
[TABLE]
Recalling that and , we apply Newton-Leibniz’s formula and Cauchy-Schwarz’s inequality to find that
[TABLE]
Combining (6.38) with (LABEL:0316), one gets
[TABLE]
On the other hand,
[TABLE]
and
[TABLE]
If we put the previous three estimates together, we get the differential inequality
[TABLE]
Recalling , one can apply Gronwall’s inequality to (6.41) to conclude
[TABLE]
Moreover, using (3.6) and (6.7), we can further deduce from (6.42), (6.40) and (6.38) that
[TABLE]
Next we turn to the derivation of the error estimates for the perturbation density and magnetic field. It follows from the equations (6.17)1 that
[TABLE]
Therefore, from (6.43), (6.28), (6.21) and (6.19), it follows that
[TABLE]
Using (6.17)1 again, we can argue analogously to (6.32) to deduce
[TABLE]
Similarly to (6.44) and (6.45), we get from (6.17)3 that
[TABLE]
Now, (6.20) follows from the estimates (6.43)–(6.46) immediately. This completes the proof of Lemma 6.2.
Finally, let
[TABLE]
where
[TABLE]
and is the same as in Remark 6.1. Then we have the following conclusion concerning the relation between and .
Lemma 6.3**.**
Under the assumptions of Lemma 6.2, .
Proof 23**.**
It suffices to show that , and we prove it by contradiction. Suppose that . By virtue of the definitions of , , and in (6.47), it is easy to verify that
[TABLE]
and
[TABLE]
Consequently,
[TABLE]
which contradicts (6.22). Hence, . The proof is complete.
Now we are in a position to show Theorem 2.3. Let be given by (6.48), and
[TABLE]
then by (6.3) and the fact . For any given ,
(1) if the solution of the original perturbation equations satisfies
[TABLE]
then Theorem 2.3 automatically holds by virtue of .
(2) if (6.50) fails, then one has by Proposition 6.2 and Remark 6.1, and
[TABLE]
Thus, we can use (6.47)–(6.48) and Lemmas 6.2–6.3 to deduce that
[TABLE]
which proves Theorem 2.3.
7 Positivity of the energy functional
This section is devoted to verification of under the assumptions of Theorem 2.4–2.5. For this purpose, we first (Fourier) transform the energy functional to a new energy functional with frequency. It should be pointed out that in the 2D case, is defined by
[TABLE]
where , , and .
We fix a spatial frequency , and define the new unknowns
[TABLE]
where . Substituting the above ansatz into (6.1), we see that , , and satisfy the following system of ODEs:
[TABLE]
with
[TABLE]
We multiply (7.6) with in respectively to deduce that
[TABLE]
where
[TABLE]
which we call the energy functional with frequency. The next lemma gives the positivity of based on the .
Lemma 7.1**.**
Under the assumptions of Theorem 2.4, there is a function , such that
[TABLE]
Proof 24**.**
(1) We show (7.7) under Schwarzschild’s condition. To this end, we take and , then we can rewrite as follows.
[TABLE]
Recalling the definition of and the fact , we see that there is a function , such that
[TABLE]
Denoting
[TABLE]
(7.8) thus reduces to
[TABLE]
We mention that Newcomb regarded (1.7) as an instability condition based the fact (7.9) [47].
Now, define
[TABLE]
By (7.9) and the fact
[TABLE]
we have
[TABLE]
from which (7.7) follows.
(2) We proceed to show (7.7) under Tserkovnikov’s condition (1.8). Taking and , one has
[TABLE]
Recalling Tserkovnikov’s condition, we find that there is a function , such that
[TABLE]
Denoting
[TABLE]
we easily see that for any ,
[TABLE]
Denoting , we use (7.10) and the fact
[TABLE]
to find that
[TABLE]
which proves the lemma.
Lemma 7.2**.**
Under the assumptions of Theorem 2.5, there is a function , such that .
Proof 25**.**
In the 2D case, is defined by
[TABLE]
which can be rewritten as
[TABLE]
Taking , and taking into account the definition of and the assumption , one sees that there is a function satisfying
[TABLE]
Denoting
[TABLE]
one has
[TABLE]
Now, if we denote and , then we have by (7.9) and the fact
[TABLE]
that
[TABLE]
which proves the lemma.
In view of Lemmas 7.1 and 7.2, we conclude under the assumptions of Theorem 2.4–2.5. Therefore, we obtain Theorems 2.4 and 2.5 by following the proof of Theorem 2.3.
Acknowledgements. The research of Fei Jiang was supported by NSFC (Grant Nos 11471134 and 11671086) and the NSF of Fujian Province of China (Grant No. 2016J06001), and the research of Song Jiang by the National Basic Research Program (Grant No 2014CB745002) and NSFC (Grant Nos 11371065 and 11631008).
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