1. Introduction and Statement of the Boundary Problem
A large number of works are devoted to the issues concerning mathematical modeling the processes of fluid flows taking into account convective effects. These papers explore both applied questions, concerning the derivation and justification of basic convection models, and purely mathematical questions. These include methods for constructing exact and approximate solutions, theoretic-group analysis (or Li-Ovsyannikov symmetry) method of investigating the qualitative properties of solutions to differential equations underlying the convection models under study, and theoretical analysis of the solvability and uniqueness of solutions of boundary value problems for basic convection models.
Among the various convection models for binary and/or thermally conducting liquids, an impotant role is played by so-called Oberbeck–Boussinesq models [
1,
2], which are derived from the exact Navier-Stokes equations of fluid dynamics taking into account the following assumptions (see [
1], Section 54):
1. Convective motion is similar to that of an incompressible fluid with constant density , but the possible deviation of the true density from is taken into account in the momentum conservation equation in the form of a term describing the additional volumetric force – the buoyancy (Archimedes) force.
2. The change in density is caused by changes in temperature and concentration of dissolved substance, but not changes in the pressure.
3. The velocity gradients are small enough so that the process of transition of work to heat during movement does not lead to a change in the temperature of the medium.
The model that results from these simplifications is called the Oberbeck-Boussinesq model. In turn, the Oberbeck-Boussinesq model allows for further simplification, often called the simplified or classical Boussinesq model.
When modeling heat transfer processes in a viscous heat-conducting liquid, by (classical) Boussinesq model one usually understands the model in which the bulk buoyancy force included in the momentum conservation equation linearly depends on temperature, and, besides, the main parameters of the fluid, namely: the viscosity coefficient and the thermal conductivity coefficient are positive constants. When modeling mass transfer processes in a binary fluid, by (classical) Boussinesq model one usually understands the model in which the bulk buoyancy force (included in the momentum conservation equation) linearly depends on the concentration of dissolved substance while the main parameters, namely: the viscosity coefficient, diffusion coefficient, as well as another parameter, called the reaction coefficient, are the positive constants. The latter parameter is responsible for the possible decay of the dissolved substance in the main medium due to the chemical reaction. When all or some of the above conditions are not fulfilled, the corresponding model is often referred to as a generalized Boussinesq model.
Let us emphasize that for the classical Boussinesq model, many theoretical issues are quite fully studied. This, in particular, holds for the study of the correctness of boundary or initial-value problems for stationary or non-stationary models of heat and mass transfer. Among many works in this area, we note the cycle [
3,
4,
5,
6,
7,
8] of works by the first author and his coauthors on the study of the correctness of boundary value problems for stationary equations of heat and/or mass transfer. We emphasize that in these works, in addition to the study of correcteess a boundary value problems, a theoretical analysis of control problems for the models of heat and mass transfer was performed. The analysis of the results obtained in [
3,
4,
5,
6,
7,
8] made it possible to identify interesting regularities related to the interaction of hydrodynamic and thermal fields in binary and/or heat-conducting media and, in particular, to establish the most effective mechanisms for controlling thermohydrodynamic processes in viscous liquids. The close problems of boundary or distributed control for the heat transfer equations in the Boussinesq approximation have also been investigated in the works [
9,
10,
11,
12,
13,
14].
Theoretical questions for the generalized Boussinesq model have been studied to a much lesser extent. However, significant progress has been made in recent years in this area as well. Over the past decades, a large number of papers have been published regarding the study of heat and mass transfer equations with variable transfer coefficients and with variable buoyancy force depending on temperature and/or concentration of dissolved substance. These works can be divided into several groups. The first group contains papers that develop methods for finding exact solutions to these equations (see, for example, [
15,
16,
17,
18,
19] and review [
20]). The second group contains works devoted to application of Li-Ovsyannikov symmetry method to study qualitative properties of solutions of equations of heat and mass transfer in viscous binary and/or heat-conducting liquids. This group includes very large quantily of works (see e.g. [
21,
22,
23,
24,
25], monograph [
26] and reviews [
27,
28]). Another group of works is that in which mathematical modeling of fluid motion processes takes into account thermodiffusion effects (or Sorét effects) and/or concentration diffusion effects (or Dufort effects). A detailed list and analysis of these works can be found in the reviews [
27,
28].
At the same time, the authors know only a few papers in which the solvability of boundary value problems for equations of heat and mass transfer with variable coefficients is investigated. The mentioned works can be divided into several groups. The first group includes works [
29,
30,
31] or [
32], devoted to the study of the solvability of boundary value problems for stationary equations of heat or mass transfer. The second group is joined by works [
33,
34,
35,
36,
37,
38], devoted to the study of the solvability of boundary value and control problems for non-stationary Boussinesq equations of heat (or mass) transfer. The works [
39,
40,
41] form once more group in which the solvability of boundary value and control problems is studied for the stationary mass transfer model in the case where the reaction coefficient can depend on the concentration of matter and spatial variables.
Close questions on the study of correctness of boundary value or control problems for stationary equations of magnetic hydrodynamics of viscous incompressible or heat-conducting liquid in the Boussinesq approximation were investigated in [
42,
43,
44,
45,
46]. In [
47], the solvability of the initial-boundary problem for the non-stationary MHD-Boussinesq system, considered under mixed boundary conditions for velocity, magnetic field, and temperature, in the case when the viscosity coefficient, magnetic permeability, electrical conductivity, thermal conductivity and specific heat of the fluid depend on the temperature.
Finally, we mention papers [
48,
49,
50,
51,
52,
53,
54,
55] that touch upon issues close to the subject of this paper from nonlinear diffusion, viscoelasticity, engineering mechanics, complex heat exchange, acoustics and oceanology.
The purpose of this work is to analyze the global solvability and local uniqueness of solutions of the boundary value problem for a generalized Boussinesq mass transfer model describing the flow of binary fluid in which the diffusion, viscosity and reaction coefficients and the buoyancy force depend on the substance concentration.
The paper is organized as follows. In
Section 2, we will formulate the main boundary value problem, to which we will refer below as Problem 1. Besides, we introduce functional spaces and formulate a number of auxiliary results in the form of Lemmas 1, 2 and 3 which will be used when studying the solvability and uniqueness of Problem 1. In
Section 3, we will formulate and prove the theorem on the global existence of a weak solution to Problem 1 and establish the maximum principle for substance concentration
. In
Section 4, we will establish sufficient conditions on the data of Problem 1 that provide conditional uniqueness of the weak solution having an additional property of smoothness for concentration. The last
Section 5 (Conclusion) contains a brief summary of the results obtained in our paper.
2. Statement of the Main Problem. Functional Spaces
Let
be a bounded domain in the space
with a Lipschitz boundary
. Below, we will consider the following boundary value problem describing the motion of binary fluid within the framework the generalized Boussinesq model of mass transfer:
Here
is the velocity vector,
is the concentration of dissolved substance,
, where
P is the pressure,
is the fluid density,
is the kinematic (molecular) viscosity coefficiemt,
is the diffusion coefficient,
is the mass expansion factor,
is the reaction coefficient,
is the gravitational acceleration,
or
f is the bulk density of external forces or of the external sources of matter, respectively. Below the problem (
1) – (
3) for the given functions
,
,
,
,
, and
f will be referred to as Problem 1.
When studying Problem 1, we will use the Sobolev functional spaces , . Here, D means either domain or some subset , or the boundary . By , and the norm, half-norm and in inner product in will be defended, respectively. The norms and scalar product in or in are denoted by , or by , and , respectively. denotes the dual space of Hilbert space X, while the duality relation for the pair of dual spaces X and is written as , or simply as .
An important role in our analysis will be played by the following functional spaces:
Note that each of the spaces
and
is Hilbert at norm
which is equivalent to
for
due to the Friedrichs-Poincaré inequality
It is well known (see, for example, [
56,
57]) that for the domain
with the Lipschitz boundary the spaces
H and
V are characterized as follows:
Let us define the products of spaces
and
with the norm
and denote by
the space
which is dual of
X.
Let the following conditions be met:
2.1. is a bounded domain in with a boundary consisting of N component , .
2.2., , .
2.3., , .
2.4. For any function
, the embedding
is valid where
is a fixed number independent of
, and the vector-function
satisfy
Here
is a positive constant dependent on
p. In addition, for any pair of functions
belonging to sphere
of radius
r, the following inequality is true:
Here
is a constant that depends on
b and on
r, but does not depend on
.
2.5. For any function
, the embedding
is valid, where
is a fixed number independent of
, and the following estimate for
is valid
Here
is a positive constant dependent on
p. Also for any sphere
the following inequality:
holds. Here
is a constant that depends on
k and on
r, but does not depend on
.
2.6.,
and there are positive constants
,
,
and
such that
Consider the function
, satisfying the following condition:
Clearly
for any
and the following estimates:
hold. In addition,
a.e. in
if
a.e. in
as
.
Let
. Since
a.e. in
, the Lebesgue’s theorem on majorant convergence implies that
The property (
11) will play an important role when proving the solvability of Problem 1 which contains the variable leading coefficients
and
.
Below, we will often use the following inequalities:
Here
is a constant dependent on
and
,
is a constant dependent on
and
p at
. The inequality (
12) is a consequence of Sobolev’s embedding theorem, according to which the space
is imbedded into
continuously at
and compactly at
. The inequality (
14) is a consequence of the H
lder inequality for the three functions. In turn, the following inequality:
is the consequence of inequalities (
12) and (
14) where
A similar inequality holds for the scalar functions
, and
h. It has the form
Along with inequalities (
12)–(
16), we will use a number of other important inequalities and properties of bilinear and trilinear forms, which we will write as the following Lemma.
Lemma 1.
Let conditions
2.1,
2.4,
2.5
and
2.6
be met and let be a given function. Then there are the positive constants , , , , , , , and β, which depend on Ω, and the constants and depending on Ω and p, such that the following relationships are fulfilled:
Here , , , where the constants , , and were defined in (4), (5), (7) and (15) respectively; , , and – constants defined in (9).
We prove, for example, (
27) and establish a relationship between the constant
and the constant
defined in (
5). To do this we use the inequality (
15) at
and property (
5). Using these relations successively we have:
Proof of the remaining statements constituting Lemma 1 we leave to the reader. They can also be found in [
56,
57,
58,
59].
Remark 1.
From the estimate (15) and the property (6) of the function the following estimate follows for the difference :
Similarly, the following estimate for the difference
follows from the estimate (
25) and the property (
8) of the function
:
The following lemmas about the existence of liftings for the velocity and concentration will play an important role below.
Lemma 2.
Let under the assumption2.1the boundary vector satisfy the condition2.3.. Then for any arbitrary number there exists a function (velocity lifting) such that in Ω, on Γ and
Here is a constant dependent on ε and Ω.
Lemma 3.
Let assumption
2.1
be fulfilled. Then there is a family of continuous non-decreasing functions with depending on the parameter as well as from Ω, such that for any function that is not equal to zero, there exists a function that satisfies the conditions
Proof of Lemma 3. Detailed proof of Lemmas 2 and 3 can be found in book [
58] (appendix 2). □
3. Global Solvability of Problem 1
Our nearest goal is to derive the weak formulation of Problem 1 and to prove the existence of its solution. To this end, we multiply the first equation in (
1) by the function
, equation (
2) by the function
and integrate the result over
using Green’s formulas. As a result, we will get a weak formulation of Problem 1. It consists in finding a trio of functions
that satisfy the relations:
The specified three functions
satisfying (
31) – (
33), will be called below a weak solution to Problem 1.
Consider the restriction of the identity (
31) by the space
V which, taking into account the condition
for
, becomes:
It is well known that for the proof of existence of a weak solution of Problem 1 it is enough to prove existence of the solution
of problem (
32)–(
34), and then, using the standard scheme, to restore the pressure
so that the identity (
31) is fulfilled. One can read more about pressure recovery in [
57], p. 134, [
58], Section 3.2.
We will look for the solution
of problem (
32)–(
34) in a form
Here
and
are the velocity and concentration liftings defined above, and
and
are the new unknown functions which we are looking for. The value
of the parameter
will be choosen so that the following conditions are fulfilled:
The corresponding value
of the parameter
will be selected below.
Substituting (
35) in (
32), (
34), we come to the following relations with respect to the pair
:
To prove the existence of the solution
of problem (
37), (
38), we apply Schauder’s fixed point theorem according to the scheme proposed in [
58], Section 4.2. To this end we define the pairs
,
and construet the operator
acting by:
, where
is the solution of the linear problem
Here
is a given pair of functions, functionals
and
are defined by formulas
Using (
17), (
18), (
19), (
22), (
23), (
24), (
25), (
28), (
27), (
35), (
36) and Lemmas 2, 3, we deduce that
From (
43), (
46), (
48), (
49), (
51), (
52) follows that
,
and the following estimates are valid:
In addition, for each fixed pair
bilinear form
defined in (
40) is continuous and coercive with the constant
defined in (
23), while the right-hand side of the identity (
40) defines a linear continuous functional over
, and the following estimates hold:
In this case, it follows from the Lax-Milgram theorem that for any pair
a solution
of problem (
40) exists and is unique. Besides, by (
55), (
56) and Lemma 3 the following estimates are performed for
and
:
Let us turn to the problem (
39) where we put
. From (
51), (
53) and (
58) it follows that the right-hand side in (
39) is a value on the element
of the linear continuous functional of
and we have
In turn, from the estimates (
43), (
44), (
45) and from the second identity in (
20) it follows that the bilinear form
defined in (
39), is continuous and coercive with constant
, where
is defined in (
18). From Lax–Milgram’s theorem, it then follows that for any pair
there is a single solution
of the problem (
39) and the following estimate is performed:
Let us assume that
and choose the parameter
from the condition
From (
59) we infer that
Considering (
60), from (
57) we conclude that
An important feature of the estimates (
61), (
62) is the fact that their right-hand parts depend only on
, but do not depend on
. This will allow us to select below the convex closed set
which the operator
F maps into itself.
Still it was assumed that
is an arbitrary pair of functions from
W. Suppose now that
is still arbitrary, while
satisfies the condition
By this assumption, it follows from (
61) that
According to (
63) we have that
In this case, from (
64) we conclude that
Similarly, considering (
63), from (
62) we get
Thus, we showed that the operator
maps a pair
, where
satisfies (
63), and
is an arbitrary function, into the pair
, for which the next estimates are fulfilled:
Therefore, if we choose a convex closed set
in the space
W, then the obtained estimates (
67) mean that the operator
F maps the set
K to itself.
To apply Schauder’s theorem, we have to prove that the operator
F is continuous and compact on the set
K defined in (
68). To this end, denote by
,
an arbitrary sequence from
K. Let us put
,
, and show that from the sequence
we can extract a subsequence converging in the norm defined in
X to some element
.
Due to reflexivity of spaces
and
and compactness of embeddings of
and
there exists the subsequence of sequence
which we again designate through
, and there is
such that
Let
. By construction, the element
is a solution to the problem (
39), (
40) corresponding to the pair
, while the element
is solving the problem
which is obtained from (
39), (
40) by replacing
on
.
Let its show that
strongly in
X or, equivalently,
To do this, we need to subtract (
39), (
40) from (
71), (
72). Taking into account the following equalities:
we come to the relations:
Using the estimate (
30) with
,
, the estimate in (
67) for
and (
70), we deduce that
Similarly, using (
24), (
67), and (
69), we have
Also, from (
11) at
,
,
it follows that
As mentioned above, for each pair
the bilinear with respect to the difference
and
h form
defined in (
73) is continuous and coercive with constant
0. This means by (
75), (
76), (
77) and by virtue of the Lax–Milgram theorem applied to the problem (
73) that
According to a similar scheme, it can be proved that
Really, using (
19), (
67), and (
69), we conclude that
Similarly, using (
27) at
,
, and (
78) or (
29) at
,
and (
70), we conclude that
or
Finally, from (
11) at
,
,
follows that
Recall that for each pair
bilinear with respect to the difference
and
form
defined in (
74) is continuous and coercive with constant
. Again, this means by (
80), (
81), (
82) and (
83) and by virtue of the Lax-Milgram theorem applied to the problem (
74) the validity of the estimate (
79).
From (
78) and (
79) it follows that the operator
is continuous and compact on the set
K. In this case, Schauder’s fixed point theorem implies that the operator
F has a fixed point
, which by construction is the desired solution to the problem (
37), (
38) and satisfies estimates in (
67). From this impotant fact, in turn, it follows that the pair
defined in (
35) is the desired solution to the problem (
32) – (
34) and the following estimates are valid:
We formulate the results obtained in the form of the following theorem.
Theorem 1.
Let the conditions
2.1–2.6
be fulfilled. Then there exists at least one solution of problem (32), (33), (34) and, in addition, the solution meets the estimates (84), (85).
Remark 2. The theorem corresponding to the case when the condition takes place instead of can be proved in a similar way.
The existence of pressure
, which together with the specified pair
satisfies the relation (
31), is proved as in [
58], Section 3.2. It remains to derive the estimate for
p. For this purpose, we will use the inf-sup condition (
21), according to which for the above function
p and any (arbitrarily small) number
there exists a function
,
, such that
Assuming
in (
31) and using the last inequality and estimates (
17), (
19), (
27), we deduce that
Dividing by
and taking into account the estimate (
84), we derive from (
86) that
We formulate the result in the form of the following theorem.
Theorem 2. Under conditions of Theorem 1 there exists a weak solution of Problem 1, for which estimates (84), (85) and (87) are performed.
In conclusion of this Section, we will establish sufficient conditions on the data of Problem 1, under which the maximum (or minimum) principle is valid for the concentration component of the solution of Problem 1.
Let be a positive number and, in addition to 2.1 – 2.6, the following conditions hold:
3.1. a.e. in ; a.e. on .
3.2. the nonlinearity
is monotonic in the following sense:
3.3. it is assumed that every of functional for
or
equations
has at least one (positive) solution
or
.
Theorem 3.
Let under conditions
2.1–2.3
and
3.1–3.3
the functions and be continuous for , and
Then for the component φ of the weak solution of Problem 1 the maximum and minimum principle holds having the form:
Here m and M are constants defined in relation (89) in which is choosed as a minimum root of the first equation in (88) while is choosed as a maximum root of the second equation in (88).
Proof of Theorem 3. Let
M be constant defined in (
89). First, we will prove that
a.e. in
. To this end, we will define the function
. It is clear that the principle of maximum or estimate
holds a.e. in
if and only if
everywhere in
.
Denote by
an open measurable subset of
in which
. From ([
59], ) it follows that
everywhere in
and, besides,
. So the following equalities take place:
Taking into account (
91) let us set
in (
32). We get that
The following equations follow from the properties of function
:
Due to the property
3.2 for the functions
and
which belong of
, and by condition
in
the following relation takes place:
Now we subtract the equality
from the both parts of (
92). As a result we arrive at
Using (
23) and (
93), we deduce from (
94) that
By definition of
M in (
89), it follows from (
95) that (if
M is selected from the first condition in (
88)) then
and therefore
in
.
The principle of minimum is proved in a similar way using the non-positive function
(see in more details in [
60]). □
4. Conditional Uniqueness of Solution of Problem
In this Section, we will prove the conditional uniqueness of the weak solution of Problem 1 provided that the component has an additional property of smoothness, namely: . We will assume, in addition to the property 2.6, that the leading coefficients and have the following properties:
4.1. belongs to the space
and
where
and
are positive constants.
4.2. Functions
,
and
are Lipschitz continuous, i.e.
Here
,
and
are some poisitive constants.
To achieve our goal, we will use as in [
29,
30,
32] the equivalence between the standard
and
–norm
of the Laplace operator in the space
for domain with the boundary
(see [
56,
57]). The mentioned equivalence is described by the following inequalities:
Here and below
,
are positive constants that depend on
and, may be, also some indexes.
Recall that in [
32] the proof of the local uniqueness of the solution to the boundary value problem under study was based precisely on the equivalence property of the norms
and
, which is valid for the components
and
of two possible solutions
,
. Unlike [
32], where the equations of the Boussinesq model are considered under homogeneous Dirichlet conditions, in our case, the specified equivalence property for components
and
does not work because they satisfy the inhomogeneous boundary condition
,
1.2. However, this property remains valid for the difference
which belongs to
. And, as will be shown below, this property is quite enough to prove the local uniqueness of the weak solution to Problem 1, which has an additional smoothness of the form
.
Below, we will also use the following estimates:
which result from the continuity of the embedding
at any
, and known estimates
The latter is a consequence of estimates (
98) and (
101). In (
99)
is a positive constant that depends on
and
.
The following result is valid regarding the uniqueness of a weak solution to Problem 1, which has a certain property of smallness:
Theorem 4.
Let, in addition to conditions
2.1-2.6
and
4.1,
4.2, the following conditions are met: , , while the conditions2.1and2.4met for some . If there exists such a number that there is a weak solution of Problem 1 satisfying the condition
then this solution is unique.
Proof of Theorem 4. Suppose that there are two weak solutions
,
of problem (
31), (
32), (
33). Then, the differences
satisfy the relations
Using known formulas of vector analysis
and
rewrite (
103) as follows:
Let us set
in (
105) and
in (
104. We arrive at
Using the above estimates (
97), (
98) – (
102), as well as the estimates defined in
Section 2, we will estimate each term of the right-hand side of (
106) successively. Let us start with the first term.
1. Using the H
lder inequality for the four functions and the estimates (
96), (
101), (
102), we infer
2. Using the H
lder inequality for three functions, the estimate (2.4) at
2, the estimates (
98), (
99) and arguing as in the derivation of the estimate (
108) we infer
Here
1 is the number associated with
p by
3. Using the H
lder inequality for three functions, the estimate (
13) at
and the estimate (
102) we derive
4. Using the H
lder inequality for four functions and estimates (
97), (
98), (
100), and (
101), we infer
5. Using the H
lder inequality for four functions and estimate (
96), (
101), (
102) we output
6. Using the H
lder inequality for three functions and estimates (
97), (
98), (
100) we output that
7. Using the H
lder inequality for three functions, the property (
8) of the function
and the estimates (
98), (
99) we output
8. Using the H
lder inequality for three functions and estimates (
13) and (
101) we infer
9. In addition, it follows from (
9) that
Considering (
108) – (
116), we come from (
106) to inequality
Let us turn now to (
107). Arguing, as above, we infer taking into account (
18), (
19), (
27), (
29) and (
97), (
98), (
100) that
Considering (
118), (
119), (
120), (
121), (
122), from (
107) we come to the following inequality:
Using Young’s inequality, we estimate the terms in (
117) and (
123) containing the products
and
. Let us start with the last term in (
117). We have
According to a similar scheme, we withdraw
Adding the inequalities (
117) and (
123) and considering (
124), (
125), (
126), (
127), we come to the inequality
Here
Let the pairs
and
be such that the following smallness conditions are met:
If the conditions (
131) are satisfied from the inequality (
128), it follows that
From the second relation in (
132) it follows that
, and from the one it follows that
Since the assumption
implies that
then using the second estimate in (
98) we infer from (
132) that
This means that
or
.
It remains to prove that the components
and
introduced at the beginning of the proof of Theorem 4 coincide. To this end, subtract the identity (
31) for
from (
31) for
and take into account that
and
. As a result, we get that the difference
satisfies the identity
From (
133) it follows due to the inf-sup condition (
21) that
or
. Thus, the local uniqueness property of the weak solution of Problem 1 from the space
is proven. □