1. Introduction and Statement of the Boundary Value Problem
Over last several decades, the significance of the study of the boundary and control problems for heat and mass transfer models has only been increasing (see [
1,
2,
3,
4,
5,
6,
7,
8,
9]). One of the main reasons consists in the search of the effective mechanisms for controlling physical fields in continuous media. At the same time, the area of applications of control problems is only expanding.
Within the framework of the optimization approach to the control problems, some inverse problems of searching for unknown functions entering the equations or boundary conditions of the models under consideration can be reduced using additional information about the solutions of the corresponding boundary value problems (for the correctness of this approach, see [
10,
11,
12]). In turn, the study of extremum problems is based on the solvability of boundary value problems and a qualitative analysis of their solutions. At the same time, the less restrictions are imposed on the original model, the more opportunities open up for applications of the control problems.
In this article, we study a boundary value problem for a nonlinear mass transfer model, which generalizes the Boussinesq approximation. It is assumed that the leading coefficients of kinematic viscosity and diffusion, as well as the reaction coefficient, depend nonlinearly on concentration, while the reaction coefficient also depends on spatial variables.
Among the papers devoted to the study of various models generalizing the Boussinesq approximation, we note [
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30]. In [
13,
14] the global solvability of the stationary boundary value problem for nonlinear heat transfer equations is proved in the case, when the viscosity coefficient depends on temperature. Sufficient conditions are established for the input data, at which the maximum principle for temperature is valid. The local existence and conditional uniqueness of a strong solution of the considered boundary value problem is proved.
In [
15,
16] the solvability of boundary value problems for the stationary Boussinesq equations of a viscous fluid, considered under mixed boundary conditions for velocity, is studied. In [
17] boundary value problems are studied for stationary MHD equations for viscous heat-conducting fluid, considered both in the Boussinesq approximation and under its generalisation. In the latter case, it is assumed that the buoyancy force is a decreasing function of temperature. On one hand, it is justified from a physical point of view, and on the other hand, it allows one to prove the global solvability of boundary value problem using the Schauder fixed point theorem.
It should be noted that the cycle of articles by E.S. Baranovskii with co-authors [
18,
19,
20,
21] are devoted to the study of boundary and extremum problems for stationary models of the dynamics of viscous incompressible fluid. In detail, the model of non-isothermal creeping flows of an incompressible fluid is considered in [
18]. It is assumed that the viscosity and the thermal conductivity coefficients depend on temperature. The main result of this paper includes the proof of the solvability of the boundary control problem for the model under consideration. In [
19], the model of the flow of non-uniformly heated viscous fluid is studied while considered under slipping boundary conditions. The existence of a weak solution of the considered boundary value problem is proved and its additional properties are established. This article describe the situation when the coefficients of viscosity and thermal conductivity in the model equations together with the slip coefficient in the boundary condition for velocity depend on temperature.
In [
20], the control problem for 2D Stokes equations with variable density and viscosity is studied. In [
21], the existence of an optimal solution for the problem of boundary control of non-isothermal stationary flows of low-concentration aqueous polymer solutions in a limited three-dimensional domain is proved.
In [
22,
23], the global solvability of boundary value problems for nonlinear mass transfer equations was proved in the case, when the reaction coefficient depends nonlinearly on the substance’s concentration and also depends on spatial variables. In [
22] the homogeneous Dirichlet conditions for the velocity and substance’s concentration were set on the entire boundary of the considered domain. In [
23] the mixed boundary conditions were used for the concentration and the inhomogeneous Dirichlet condition was used for the velocity. Moreover, in cited papers the maximum and minimum principle for the substance’s concentration was established.
In [
22], the existence and the conditional uniqueness of the solution of the problem of distributed control is proved, while in [
23], the multiplicative control problem was studied. In particular, for a specific reaction coefficient and for several types of cost functionals, the conditional stability estimates for optimal solutions with respect to small perturbations of cost functionals were obtained. The global solvability of boundary value problem for the above mentioned mass transfer equations under non-homogeneous Dirichlet condition for the substance concentration was proved firstly in [
24]. Let us note the papers [
25,
26,
27,
28,
29,
30], devoted to the study of non-stationary models, which generalize the Boussinesq approximation, as well as articles [
31,
32,
33,
34,
35], in which a number of complicated hydrodynamic, including rheological, models was studied.
From the one side, in the current paper, a number of results, regarding the research of boundary value problems for nonlinear mass transfer equations in the framework of the classical Boussinesq approximation, obtained in [
2,
3] and in [
5,
6,
7], was generalized. From the other side, we have also generalised some results from the articles [
12,
13,
22,
23,
36,
37,
38,
39], which include the study of boundary value problems for nonlinear mass transfer equations with variable coefficients.
For example, in [
38] the reaction-diffusion-convection equation was considered under inhomogeneous mixed boundary conditions for the substance’s concentration. It was assumed that the reaction coefficient in the equation and the mass transfer coefficient in the boundary condition depend nonlinearly on the substance’s concentration and also depend on spatial variables.
In [
39], the boundary value problem for a nonlinear reaction-diffusion-convection equation under inhomogeneous Dirichlet condition was considered. In this case, the nonlinearity, generated by the reaction coefficient, is monotonic only in a certain subdomain of the considered domain, while in the rest subdomain, the reaction coefficient is bounded by the
–norm, where
. Since that, for the solvability of the boundary value problem under consideration the Leray-Schauder principle was used instead of the monotonicity of the corresponding operator, as in [
38]. In [
38,
39], the maximum and minimum principle for the substance’s concentration was also established.
Finally, we note articles [
40,
41,
42] close to [
12,
36,
37,
38,
39], devoted to the study of boundary and control problems for the models of complex heat transfer.
In a bounded domain
with a boundary
the following boundary value problem is considered:
Here,
is a velocity vector, function
represents the concentration of substance,
, where
P is pressure,
is fluid density,
is the coefficient of kinematic viscosity,
is the diffusion coefficient,
is the coefficient of mass expansion,
is the acceleration of gravity,
or
f are volume densities of external forces or external sources of substance, respectively, and the function
is the reaction coefficient, where
. Below, we will refer to the problem (
1)–(
3) for given functions
and
k as to Problem 1.
In this article, we prove the global existence of a weak solution of Problem 1 in the case, when diffusion, viscosity, and reaction coefficients depend on the concentration of substance. In this case, the reaction coefficient also depends on spatial variables. Under additional conditions on the input data of Problem 1, the maximum principle is established for the concentration . Further, for a smoother boundary of we prove a local existence of a strong solution to Problem 1 and conditional uniqueness of its weak solution with additional property that .
Let us introduce a brief outline of this article below. In the second section, the functional spaces are introduced, auxiliary results are given and the global existence of weak solution of Problem 1 is proved. In
Section 3, the maximum principle for the concentration
is established. In
Section 4, the local existence of a strong solution of Problem 1 is obtained.
Section 5 includes the sufficient conditions on the input data of Problem 1, which provide conditional uniqueness of the weak solution with additional property that
.
Section 6 contains a discussion of the prospects for the application of the obtained results in the study of new boundary value and control problems. In the last
Section 7, our results are briefly summarized and concluding comments are given.
2. Solvability of the Boundary Value Problem
Below, we will use the Sobolev functional spaces , . Here, D means either a domain or some subset , or the boundary . By , and we will denote the norm, seminorm and the scalar product in , respectively. The norms and the scalar product in and will be denoted by , , and , correspondingly. By we will denote the adjoint space of Hilbert space X, while the duality for a pair X and is written as or simply as .
We will use the following functional spaces:
It is well known, see e.g., [
43], that for the domain
with Lipschitz boundary the spaces
H and
V are characterized as follows:
We define the products of the spaces
,
with the norm
and the space
which is the dual of
X.
Let the following conditions be satisfied:
2.1. is a bounded domain in with boundary ;
2.2., , ;
2.3. for any function
the embedding
is true,
, where
p does not depend on
; and for any sphere
of radius
r the following inequality takes place:
Here, L is the constant, which depends on r, but does not depend on ;
2.4. the functions
and
are continuous as
, and there are positive constants
and
such that
Note that the condition
2.3 describes an operator from
to
, where
(see [
12,
36]). For example,
Let us consider the function
, where
, which satisfies the condition
2.4, i.e., this function is continuous and satisfies the following condition:
It is clear that
for any
, and
a.e. in
,
. Besides
Let
. Since
a.e. in
, then by the Lebesgue theorem on majorant convergence we obtain that
It follows from the above that
It is the property (
5) that will be used to prove the solvability of Problem 1.
Here is an example of a function
that satisfies the condition
2.4 and can describe both the diffusion coefficient
and the viscosity coefficient
:
Recall that, by the Sobolev embedding theorem, the space
embeds into the space
continuously for
, and compactly for
and with some constant
depending on
s and
, we have the estimate
The following technical lemma holds (see details in [
3,
5,
44,
45]).
Lemma 1. Let the conditions2.1and2.4hold and , , . Then, there exists positive constants , and , which depend on Ω
or depends on Ω
and p, such that the following relations hold: From (
14) and from condition
2.3, it follows:
We multiply the first equation in (
1) by a function
, Equation (
2) by a function
and integrate over
using Green’s formulae. Then, we obtain the weak formulation of Problem 1. It consists in finding the triple
, satisfying the relations:
The specified triple
, satisfying (
19)–(
21), will be called a weak solution of Problem 1.
Let us consider the restriction of the identity (
19) to the space
V:
To prove the existence of a weak solution to Problem 1 it suffices to prove the existence of a solution
of problem (
20)–(
22). About pressure recovery see for details in ([
43], p. 134, [
44], p. 89).
To prove the solvability of the problem (
20)–(
22), we apply the Schauder fixed-point theorem (see [
44]). We set
and
and construct the operator
, acting according to the formula:
, where
is the solution to the linear problem
From the estimates (
14)–(
16) and from the equality (
17), it follows that for every fixed pair
the form
is continuous and coercive with the constant
defined in (
16). Since
, it follows by virtue of the Lax-Milgram theorem that for any pair
,
there is a unique solution
of problem (
24) and the following estimate holds
In turn, from the estimates (
8), (
11) and from the equality (
9) it follows that the form
is continuous and coercive with constant
. Moreover,
. Therefore for any pair
there exists a unique solution
to problem (
23).
Put
in (
23). From (
9)–(
11) follows the next inequality:
From (
26), taking into account (
25), we deduce the following estimate
Thus, we have proved that for any pair
there is a unique solution
of problem (
23), (
24), for which the following estimate holds:
In the space
W, we define the ball
, where
. From the construction of the ball
and from (
28) it follows that the operator
F, defined above, maps the ball
into itself.
We prove that the operator
F is continuous and compact on the ball
. Let
,
is an arbitrary sequence from
. Due to the reflexivity of the spaces
and
and the compactness of the embeddings
and
, there is a subsequence of the sequence
, which we also denote by
, and there is the pair
such that
Let
,
. These relations are equivalent to the fact that the element
is a solution to the problem (
23), (
24), and
is the solution to the problem
which is obtained from (
23), (
24) by replacing
with
.
Let us show that
strongly in
X or, equivalently,
To do this, subtract (
23), (
24) from (
30), (
31). Taking into account the following equalities:
we come to the relations:
Using the estimate (
18) with
,
and estimate (
25), we deduce that
Substituting
into (
32) and using (
14)–(
17), just like (
34 ), we arrive at the inequality
From (
35) due to properties (
5) and (
29) we deduce that
as
.
Setting
in (
33), taking into account (
9), we obtain that
Using the estimates (
8), (
10), (
11), from (
36) we obtain the following inequality:
From (
37), taking into account the properties (
5), (
29), and (
35), we conclude that
as
.
Therefore, the operator
F is continuous and compact. In this case, it follows from the Schauder fixed-point theorem that the operator
F has a fixed point
, which is the solution to the problem (
20)–(
22). By construction, this solution
satisfies the estimates (
25), (
27).
The existence of pressure
, which together with the specified pair
satisfies the relation (
19), is proved as in ([
44], p. 89). It remains to derive an estimate for
p. For this purpose, we will use relation (
12), according to which for the function
p and any (arbitrarily small) number
there exists a function
,
, such that
Setting
in (
19), taking into account the last inequality and estimates (
7), (
10), (
11), we deduce that
Dividing by
and taking into account the estimates (
25), (
27), we deduce from this that
Let us formulate the obtained result in the form of the following theorem.
Theorem 1. Let the conditions2.1–2.4be satisfied. Then, there exists the weak solution of Problem 1 and the estimates (25), (27) and (38) hold. 4. Existence of Strong Solution
In this section, we will prove the local existence of a strong solution to Problem 1. For this purpose, we will use the equivalence between the
-norm of the Laplace operator and the standard norm
in the space
for the domain
with a boundary
and similar result for spaces of vector-functions (see [
43,
48]). This equivalence is described by the following inequalities:
Here and below , are positive constants, which depend on .
Below, we will also use the following estimates:
that are a consequence of the embedding theorem and of estimates (
44), and estimates
which follow from continuity of the embeddings of
to
and
to
,
. Here,
and
are the positive constants, which depend on
and
p.
We will assume that the following conditions are met:
4.1. is a bounded domain in the space with boundary ;
4.2. functions
and
belong to the space
, and besides
where
,
,
,
and
,
,
,
are positive constants.
In addition to 2.3, we will assume that the reaction coefficient also satisfies the condition:
4.3. the conditions
2.3 are satisfied with the parameter
(instead of
) and the following estimate holds:
where
is a positive constant;
4.4., , .
To study a strong solution, we introduce the product of spaces
with the norm
As in [
13], we will use the Stokes operator
defined by:
where
is the domain of
. It is well known that for any function
the following decomposition is valid (see [
43]):
Here,
is a function uniquely determined by the function
, and the following estimates hold [
43]:
Along with the nonlinear Problem 1, we will consider its linear analogue in the form of the following boundary value problem for the triple
:
Here, is a given pair from the space X or .
The triple
, which satisfies the identity
and identity (
24) from
Section 2 will be called a weak solution of problem (
49)–(
51).
The restriction of (
52) to the space
V takes the form (
23). In
Section 2, using the Lax–Milgram theorem, it was shown that for any pair
a weak solution
to the problem (
23), (
24) exists and is unique, and the corresponding a priori estimates (
25) and (
27) were obtained. The restoration of the function
by the pair
is performed similarly to the restoration of the pressure
p in
Section 2.
Moreover, if
and conditions
4.1–
4.4 are satisfied, then due to the property of elliptic regularity (see [
43]), a weak solution
of the problem (
49)–(
51) is its strong solution from the space
, satisfying the Equations (
49), (
50), a.e. in
.
Let us formulate the above result in the form of the following lemma.
Lemma 2. Let the conditions4.1–4.4be satisfied. Then for each pair there exists a strong solution of problem (49)–(51), and the Equations (49) and (50) hold a.e. in Ω.
Our nearest goal is to prove the local existence of a strong solution to Problem 1, by which we mean the triple
satisfying the Equations (
1) and (
2) a.e. in
. We first formulate an important auxiliary lemma concerning estimates for bilinear and trilinear forms, which we will use when proving the local existence theorem.
Lemma 3. Let under condition4.1, , . Then, the following inequalities hold: Here and below , , are positive constants depending on Ω or on Ω and p.
Proof of Lemma 3. Let us prove, for example, the first inequality in (
53). Using the Hölder inequality, estimates (
45) and taking into account the condition
4.2 we have
The remaining inequalities in Lemma 3 are proved in a similar way. □
Remark 2. In Lemma 3 and below denotes the vector field, in which i-th component is given by formula: , .
Below, we will use, together with Lemma 3, the following estimate, which was obtained in [
13], using (
47) and (
48):
Here, the function
satisfies the first condition in
4.2,
q is the function related with
by the formula (
47).
Presently, we are able to prove the following main theorem of this section
Theorem 3. Let the conditions4.1–4.4and the smallness conditionsbe satisfied. Then, there exists a strong solution of Problem 1 such thatand the following a priori estimates hold: Here, the constants , , are defined in (44), (45), (48) and (57), the constant is defined in (38). The constants , , are defined in Lemma 3 and (57), is a constant from (46). Proof of Theorem 3. To prove Theorem 3, we construct in the space
mapping
G acting according to the formula
for any pair
. Here, the pair
is the strong solution respective component of the problem (
49)–(
51), satisfying the identities (
23), (
24). The existence of this strong solution under conditions
4.1–
4.4 follows from Lemma 2.
Since the embeddings
and
are dense, then (
23), (
24) imply the identities
Using the relations
we rewrite (
64), (
65) in the following form:
Setting
in (
67) and
in (
68), taking into account (
47), we have
From (
69), (
70), using Lemma 3 and estimate (
57), we arrive at the inequalities:
From (
71), (
72), we derive the estimates
Let us show further that under the conditions (
58) the operator
G maps a bounded convex closed set
into itself for certain values of
and
, which will be chosen later.
To this end, we rewrite the system of inequalities (
73), (
74) in the following form:
We assume that the pair
belongs to the set
, in which the values
and
are defined by the formulae
This means that the pair
satisfies the relations
Let us assume that the following conditions are satisfied:
Taking into account the notation (
78), conditions (
81) take the form of smallness conditions (
58).
Using (
80) and (
81), from (
77), we arrive at the estimate
Taking into account (
80)–(
82), from (
76), we obtain
The relations (
82), (
83) together with (
79) mean that under the smallness conditions (
58) the operator
G maps the set
defined in (
75) with the parameters
and
determined in (
79) into itself.
Arguing, as in
Section 2 (see also [
13]), one can show that the operator
G is continuous and compact on the set
M. In this case, it follows from the Schauder fix-point theorem that the operator
G has a fixed point
satisfying the inequalities (
82) and (
83). The indicated point
together with the corresponding pressure
is the required strong solution of Problem 1. From (
82), (
83) it follows that for the pair
the a priori estimates (
61), (
62) hold.
To prove the theorem, it remains to derive an estimate (
63) for the pressure
p. To this end, taking into account (
66) we rewrite the first equation in (
59) in the form
The last relation implies the estimate
Taking into account (
44), (
46), from (
84) we obtain that
Finally, from (
38) and (
85) we arrive at the estimate (
63). □