Abstract
The main aim of this paper is to investigate the solvability of the steady-state flow model for low-concentrated aqueous polymer solutions with a damping term in a bounded domain under the no-slip boundary condition. Mathematically, the model under consideration is a boundary value problem for the system of strongly nonlinear partial differential equations of third order with the zero Dirichlet boundary condition. We propose the concept of a full weak solution (velocity–pressure pair) in the distributions sense. Using the method of introduction of auxiliary viscosity, the acute angle theorem for generalized monotone nonlinear operators, and the Krasnoselskii theorem on the continuity of the superposition operator in Lebesgue spaces, we obtain sufficient conditions for the existence of a full weak solution satisfying some energy inequality. Moreover, it is shown that the obtained solutions of the original problem converge to a solution of the steady-state damped Navier–Stokes system as the relaxation viscosity tends to zero.
Keywords: non-Newtonian fluid, aqueous polymer solutions, relaxation viscosity, damping, nonlinear partial differential equations, full weak solution, existence theorem, monotonicity, compactness, acute angle theorem
1. Introduction
Many real fluids and fluid-like materials cannot be adequately modeled by the classical Navier–Stokes equations [1,2,3,4]. Such fluids are said to be non-Newtonian. Examples are polymeric liquids, oil, blood, cements, bitumen, concrete, and suspension of river sand, as well as some liquids arising in food processing. The mathematical study of flow models for non-Newtonian fluids is very important in various scientific and technological applications. It is well known that most non-Newtonian materials have a complex (sometimes unpredictable) nature of behavior, and their models often produce significant difficulties in mathematical handling. One such model is the model for the motion of low-concentrated aqueous polymer solutions [5,6,7,8]:
| (1) |
where, to fix the notation,
t denotes time;
is the fluid density, ;
is the flow velocity;
p is the pressure;
the symbol ∇ denotes the gradient with respect to the space variables , that is, , where ;
- is the strain rate tensor corresponding to the vector field ,
- the operator div is defined as follows:
for a vector function and a matrix-valued function ; and denote the dynamic viscosity and the relaxation viscosity, respectively ( and );
is the external forces field;
the nonlinear damping term in the balance of linear momentum realizes an absorption if , and a nonlinear source if (see [9,10]);
is the damping exponent, .
The mathematical model (1) has been confirmed by experimental studies; in particular, it is considered as an appropriate model for the motion of aqueous solutions of polyethylenoxide, polyacrylamide, and guar gum [11,12]. Note that the limit case corresponds to the incompressible Navier–Stokes equations with damping (in the literature, these equations are often called the convective Brinkman–Forchheimer equations), which describe a Newtonian fluid flow through a porous medium [13,14].
There is extensive literature devoted to the analysis of the well-posedness of the aqueous polymer solutions model and its modifications (see, e.g., [6,15,16,17,18,19,20] and the references therein). However, all results are obtained for the case , and the main questions concerning the solvability and properties of solutions to system (1) are still open.
Some researchers have considered a simplified version of model (1), assuming that
| (2) |
In this case, system (1) reduces to the so-called damped Kelvin–Voigt equations
| (3) |
which have more “good” mathematical properties in comparison with (1). Korpusov and Sveshnikov [21] proved the local-in-time unique solvability of an initial boundary value problem for system (3) with and (a cubic source) in the weak formulation. They also obtained some conditions on the initial velocity field, which ensure that the solution blows up in finite time. These results were extended and improved by Antontsev and Khompysh in [9]. The next investigation of this model was connected with the consideration of the situation when both the viscous and relaxation parts of the stress tensor are given by distinct power-laws, and the momentum equation is perturbed by an anisotropic damping term (see [22]). Let us mention also the paper [23], in which, by using the m-accretive quantization of linear and nonlinear operators, the existence and uniqueness of a strong solution to (3) was established under the condition that and . Moreover, in this work, global and exponential attractors were studied for the corresponding dynamical system.
The passing from the original system (1) to (3) solves the main mathematical difficulties in studying the damped model for aqueous polymer solutions, but, from the physical point of view, it would be more interesting not to use the simplifying assumption (2) and keep all nonlinear terms in the motion equations. Motivated by this, in the present paper, we investigate the steady-state version (that is, the flow velocity , the pressure p, and the external force are assumed to be time-independent) of model (1) in a bounded domain , , under the no-slip condition on the boundary :
| (4) |
The main aim of our work is to prove the solvability of problem (4) in the weak formulation. We introduce the concept of a full weak solution, which is defined as a pair satisfying the governing equations in the distributions sense. Moreover, we derive energy estimates for solutions and study the behavior of the flow velocity as . Namely, using an energy inequality independent of , we show the convergence of the weak solutions of (4) to a weak solution of the damped Navier–Stokes system
| (5) |
when the relaxation viscosity tends to zero.
To overcome the difficulties in the mathematical handling of the boundary value problems for the aqueous polymer solutions model, one can use the following two approaches:
-
(i)
The method of introduction of auxiliary viscosity [6] (see also [24,25]), which involves a regularization of the original equations by extra terms with a small parameter and solving the regularized problem with the consequent passing to the limit as .
-
(ii)
The modified Faedo–Galerkin scheme with a special basis [19,26].
The first approach is suitable only for solving problems with the zero Dirichlet boundary condition, while the second one is more universal and can be applied to slip problems too. Since in this paper we deal with the no-slip condition on solid walls of the flow domain, the method of introduction of auxiliary viscosity will be used to construct a solution of system (4). In order to establish the solvability of the corresponding regularized problem, we interpret it as an operator equation with a so-called -operator [27,28] and apply the acute angle theorem (Proposition 3).
The outline of the paper is as follows. In the next section, we introduce the notation and function spaces. In Section 3, the concept of full weak solutions of problem (4) is given (Definition 1). Here, we also formulate our main results (Theorem 1). Section 4 is devoted to obtaining auxiliary results, which are needed for proving Theorem 1. Finally, in Section 5, we prove the main results of this work.
2. Preliminaries: Notation and Function Spaces
For vectors and matrices , by and we denote the scalar products, respectively:
The Euclidean norm is defined as follows:
Let and be Banach spaces. By we denote the space of all bounded linear mappings from into .
As usual, the strong (weak) convergence in a Banach space is denoted by → (⇀).
We use the standard notation for the Lebesgue spaces , and the Sobolev spaces , (see [29,30] for details).
Let
Let denote any of the classes introduced above (, , , etc.). We shall use the notation for the Cartesian product of n spaces .
The symbol denotes a continuous imbedding, while denotes a compact imbedding.
Note that the following imbeddings hold (see, e.g., [29], Chapter VI):
| (6) |
| (7) |
| (8) |
where the set-valued map is defined as follows:
Assuming that
we define spaces of solenoidal vector functions:
Sometimes it will be helpful to use the Helmholtz–Weyl decomposition for vector functions from into a divergence-free part and a gradient part (see [30], Chapter IV):
where the symbol ⊕ denotes the orthogonal sum and
The orthogonal projection from the space into the subspace is known as the Leray projection.
We introduce the scalar product on the space and the associated norm as follows:
By using Korn’s inequality
where is a positive constant (see, e.g., [31], Chapter I, Section 2.2), it is easily shown that the norm is equivalent to the standard -norm.
For any integer , one can define the operator ∇ to the power of and as follows:
We introduce the scalar product on the space and the associated norm by the formulas:
Lemma 1.
Let . Then the norms and are equivalent; that is, there exist positive constants and such that
(9)
Proof.
The right inequality in the chain (9) immediately follows from the definition of the -norm.
Using the well-known results concerning the properties of solutions to the Stokes equations with the zero Dirichlet boundary condition (see, e.g., [32], Chapter I, Section 2), it is easily shown that
(10) with a positive constant .
Taking into account (10) and the following equality
we obtain
Moreover, since the set is dense in the space , the last equality remains valid if we replace by an arbitrary vector function belonging to :
This implies the left inequality in (9) with . Thus, Lemma 1 is proved. □
Remark 1.
In view of (8), we have .
3. Definition of Full Weak Solutions and Main Results
Using arguments similar to the ones in the proof of Lemma 2 from [33], it can easily be checked that the following statement is true.
Proposition 1
(Energy equality). If a pair is a classical solution of problem (4), then
The question of the existence of classical solutions to problem (4) is delicate, especially in the case when the forcing term is non-smooth and/or has a large norm. Therefore, it is reasonable to move from classical solutions to weak solutions, which can be constructed for model data from a wide class. Proposition 1 prompts how to define a weak solution without losing the energy estimate.
Let us introduce the set-valued map by the formula
and assume that
| (11) |
Definition 1
(Full weak solution). We say that a pair is a full weak solution of problem (4) if
(12) for any vector function , and the following inequality is valid:
(13)
Remark 2.
We use the terminology “full weak solution” to emphasize that the definition of a weak solution contains a velocity–pressure pair, not just the velocity field (cf. [34], Page 234, Definition IV.1.1).
Theorem 1
(Main results). Suppose that (11) holds. Then:
- (a)
problem (4) has at least one full weak solution
- (b)
if is a full weak solution of problem (4) and , then
(14) - (c)
if is a sequence such that, for any , the pair is a full weak solution of problem (4) with and , then one can extract a subsequence (still denoted by n) such that
where is a weak solution of the damped Navier–Stokes system (5).
The proof of this theorem is given in Section 5.
4. Auxiliary Results
4.1. Continuity of Superposition Operator (Nemytskii Operator) in Lebesgue Spaces
Proposition 2
(Krasnoselskii theorem). Let be a bounded domain in space . Suppose that is a function satisfying the following conditions:
the function is measurable for any vector ;
the function is continuous for almost all ;
there exist constants ν, , , ..., and a function such that
for any and almost all .
Then the superposition operator defined as
is a bounded continuous mapping.
The proof of this proposition can be found in [35].
4.2. Solvability of Equations Involving -Operators
Suppose E is a separable reflexive Banach space and is the dual space of E.
Definition 2
(Demicontinuous operator). We shall say that an operator is demicontinuous if, for any sequence , the strong convergence in E implies the weak convergence in .
Definition 3
(Weak-to-strong continuous operator). We shall say that an operator is weak-to-strong continuous if, for any sequence , the weak convergence in E implies the strong convergence in .
Definition 4
(Monotone and strongly monotone operators). An operator is said to be monotone if
Moreover, if there exists a positive constant σ such that
then the operator is said to be strongly monotone.
Now we recall the concept of the -property [27,28], which is closely related to the monotonicity and compactness properties and is widely used in the analysis of boundary value problems for nonlinear partial differential equations.
Definition 5
(Operator of the class ). An operator is called an -operator if, for any sequence , from the two conditions:
it follows that
Lemma 2
(see [36]). If is strongly monotone, then is an -operator.
Lemma 3
(see [36]). If is an -operator, and is a weak-to-strong continuous operator, then the sum is an -operator.
Proposition 3
(Acute angle theorem). Let U be an open bounded set in E and . Suppose is a demicontinuous bounded -operator such that
for some functional . Then the equation has at least one solution .
The proof of Proposition 3 is based on the methods of topological degree theory for -operators (for details, see [28], Chapter II).
4.3. Solvability of One-Parameter Family of Regularized Problems
Following the approach proposed by Oskolkov [6], we consider an one-parameter family of regularized problems with a small parameter :
For given , find a vector function such that
| (15) |
for any vector function .
Lemma 4
(Solvability of the regularized problem). Suppose that (11) holds. Then problem (15) has at least one solution such that
(16)
Proof.
We derive the proof of this lemma in eight steps.
Step 1. Let us consider the following operators:
and rewrite problem (15) in the operator form:
(17) with the functional that is defined by the formula
Step 2. Clearly, the operator is continuous, and
Therefore, is strongly monotone. Moreover, in view of Lemma 2, this operator belongs to the class .
Step 3. We claim that the operator is weak-to-strong continuous. Indeed, this follows from the compactness of the imbedding into (see Remark 1).
Step 4. Let us prove the operator is continuous. To begin with, we consider the first term . Let be an arbitrary sequence from the space such that
We must show that
(18) In view of (7), we have
(19) Let be an arbitrary vector function from the space . We observe that
An application of Hölder’s inequality then implies that
with a constant C independent of n. Hence, we have
Taking into account (19), we pass to the limit in the last inequality and obtain
This means that (18) holds.
By similar arguments, one can show the continuity of the operators , , and . Thus, the sum is continuous, while the operator is weak-to-strong continuous.
Step 5. Applying Lemma 3, we deduce that is an -operator.
Step 6. Note that
(20)
(21)
(22) for any . Moreover, integrating by parts, we obtain
(23) and
(24) where is the unit outward normal vector to the surface .
From (20)–(24) it follows that
(25) Taking into account the relations:
and
we derive from (25) the estimate
(26) where is the characteristic (indicator) function of the set as a subset of .
Let us introduce the function by the formula
and rewrite (26) as
Since , we see that
Hence, there exists a positive number such that
for any vector function satisfying the inequality
Step 7. Let
Applying Proposition 3 to (17), we conclude that, for any , problem (15) has a solution in the ball .
Step 8. Estimate (16) is obtained by substituting into (15) and taking into account relations (20)–(24) with . Thus, Lemma 4 is proved. □
5. Proof of Main Results
First we establish the existence result (a).
In view of Lemma 4, regularized problem (15) is solvable for any . Consider a sequence such that the vector function is a solution of (15) satisfying inequality (16).
Let us show that the sequence is bounded in the space . From (16) it follows that
| (27) |
for any . Moreover, we have
| (28) |
Combining (27) and (28), we obtain
| (29) |
If , then we obviously have
whence
| (30) |
Now, consider the case when . We rewrite (29) as follows:
| (31) |
Noticing that
one can derive from (31) the inequality
whence
| (32) |
Let us introduce the function by the formula
and rewrite (32) in the form
| (33) |
Since , we see that . Therefore,
and there exists a positive number such that
for any r satisfying the following inequality
Then, in view of (33), we arrive at the estimate
| (34) |
Taking into account inequalities (30) and (34), we deduce that, in both cases: and , the sequence is bounded in the space . Therefore, without loss of generality it can be assumed that
| (35) |
| (36) |
for some vector function from the space .
Moreover, using (6), (35), and the inclusion , we obtain
| (37) |
Let us show that
| (38) |
Consider the real-valued functions , , defined as follows:
Using the following inequality
we derive
| (39) |
Moreover, by applying Young’s inequality, we obtain
| (40) |
Combining (39) and (40), we arrive at the estimate
| (41) |
with
Let us consider the operator given by
Using Proposition 2 and estimate (41), we deduce that the operator is well defined and continuous. Therefore, from (37) it follows that
and hence, (38) holds.
Let be an arbitrary vector function from the set . Since is a solution to (15), we have
After integration by parts in the first and second terms in the left-hand side of the last equality, we obtain
| (42) |
Taking into account (35)–(38), we pass to the limit in equality (42); this gives
| (43) |
Using the De Rham theorem (see, e. g., [32], Chapter I, Section 1.4, Proposition 1.1) and equality (43), we deduce that there exists such that the pair satisfies the first equality of system (4) in the distributions sense. This implies equality (12).
Further, we substitute for in equality (15). Since the third and fifth terms in the left-side of the resulting equality are equal to zero, we see that
| (44) |
From the imbedding and (37) it follows that
whence
| (45) |
Moreover, taking into account (35), we obtain
| (46) |
| (47) |
Using (45)–(47), we pass to the inferior limit in both sides of inequality (44) and arrive at estimate (13). Thus, we have established that the pair is a full weak solution of problem (4).
Now, we prove the statement (b). Substituting for and for in (12), we get
| (48) |
Since the set is dense in the space and , equality (48) remains valid if we replace by an arbitrary vector function from the space :
Setting in the last equality and applying integration by parts, we arrive at the energy equality (14).
To finish the proof of Theorem 1, it remains only to show that the statement (c) is true.
Clearly, we have
| (49) |
| (50) |
Arguing as in the proof of the statement (a), we can derive from (50) the estimate
with a constant C independent of . Moreover, without loss of generality it can be assumed that
| (51) |
| (52) |
| (53) |
for some vector function .
Using (51)–(53) and the equality , we pass to the limit in equality (49) and obtain:
This means that the vector function is a weak solution of the steady Navier–Stokes equations with the damping term . Thus, Theorem 1 is completely proved.
6. Conclusions
In this paper, we studied the steady-state flow model for low-concentrated aqueous polymer solutions with a damping term in a bounded domain , , subject to the no-slip condition on the boundary . Sufficient conditions for the existence of a full weak solution were established. Moreover, we derived the corresponding energy inequality and showed that solutions of the original problem converge to a solution of the steady-state damped Navier–Stokes system as the relaxation viscosity tends to zero. To obtain these results, we used the method of introduction of auxiliary viscosity, the acute angle theorem for -operators, and the Krasnoselskii theorem on the continuity of the superposition operator in Lebesgue spaces. Note that all results were established for the essentially nonlinear system of partial differential equations without any simplifications of the flow model. The proposed approach is quite universal and provides ways for new investigations of such type models. The plan for future investigations includes the analysis of the well-posedness of nonlinear equations that describe time-dependent and/or temperature-dependent flows of aqueous polymer solutions with damping.
Author Contributions
Conceptualization, E.S.B.; methodology, E.S.B.; writing—original draft preparation, E.S.B.; writing—review and editing, M.A.A. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research received no external funding.
Footnotes
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References
- 1.Astarita G., Marucci G. Principles of Non-Newtonian Fluid Hydromechanics. McGraw Hill; Maidenhead, UK: 1974. [Google Scholar]
- 2.Cioranescu D., Girault V., Rajagopal K.R. Mechanics and Mathematics of Fluids of the Differential Type. Springer; Cham, Switzerland: 2016. [DOI] [Google Scholar]
- 3.Shelukhin V.V., Neverov V.V. Thermodynamics of micropolar Bingham fluids. J. Non-Newton. Fluid Mech. 2016;238:16–23. doi: 10.1016/j.jnnfm.2016.11.006. [DOI] [Google Scholar]
- 4.Fetecau C., Vieru D., Abbas T., Ellahi R. Analytical solutions of upper convected Maxwell fluid with exponential dependence of viscosity under the influence of pressure. Mathematics. 2021;9:334. doi: 10.3390/math9040334. [DOI] [Google Scholar]
- 5.Pavlovskii V.A. On the theoretical description of weak water solutions of polymers. Dokl. Akad. Nauk SSSR. 1971;200:809–812. [Google Scholar]
- 6.Oskolkov A.P. The uniqueness and global solvability of boundary-value problems for the equations of motion for aqueous solutions of polymers. J. Math. Sci. 1977;8:427–455. doi: 10.1007/BF01084613. [DOI] [Google Scholar]
- 7.Burmistrova O.A., Meleshko S.V., Pukhnachev V.V. Exact solutions of boundary layer equations in polymer solutions. Symmetry. 2021;13:2101. doi: 10.3390/sym13112101. [DOI] [Google Scholar]
- 8.Frolovskaya O.A. Motion of an aqueous polymer solution with a free boundary. J. Appl. Mech. Tech. Phys. 2022;63:34–40. doi: 10.1134/S0021894422010060. [DOI] [Google Scholar]
- 9.Antontsev S.N., Khompysh K. Kelvin–Voight equation with p-Laplacian and damping term: Existence, uniqueness and blow-up. J. Math. Anal. Appl. 2017;446:1255–1273. doi: 10.1016/j.jmaa.2016.09.023. [DOI] [Google Scholar]
- 10.Khompysh K., Kenzhebai K. An inverse problem for Kelvin–Voigt equations perturbed by isotropic diffusion and damping. Math. Meth. Appl. Sci. 2022;45:3817–3842. doi: 10.1002/mma.8018. [DOI] [Google Scholar]
- 11.Amfilokhiev V.B., Pavlovskii V.A., Mazaeva N.P., Khodorkovskii Y.S. Flows of polymer solutions in the presence of convective accelerations. Trudy Leningr. Korablestroit. Inst. 1975;96:3–9. [Google Scholar]
- 12.Amfilokhiev V.B., Pavlovskii V.A. Experimental data on laminar-turbulent transition for flows of polymer solutions in pipes. Trudy Leningr. Korablestroit. Inst. 1976;104:3–5. [Google Scholar]
- 13.Nield D.A., Bejan A. Convection in Porous Media. 4th ed. Springer; New York, NY, USA: 2013. [DOI] [Google Scholar]
- 14.Hajduk K.W., Robinson J.C., Sadowski W. Robustness of regularity for the 3D convective Brinkman–Forchheimer equations. J. Math. Anal. Appl. 2021;500:125058. doi: 10.1016/j.jmaa.2021.125058. [DOI] [Google Scholar]
- 15.Oskolkov A.P. The initial boundary-value problem with a free surface condition for the penalized equations of aqueous solutions of polymers. J. Math. Sci. 1997;83:320–326. doi: 10.1007/BF02405826. [DOI] [Google Scholar]
- 16.Ladyzhenskaya O.A. On the global unique solvability of some two-dimensional problems for the water solutions of polymers. J. Math. Sci. 2000;99:888–897. doi: 10.1007/BF02673597. [DOI] [Google Scholar]
- 17.Ladyzhenskaya O.A. In memory of A.P. Oskolkov. J. Math. Sci. 2000;99:799–801. doi: 10.1007/BF02673588. [DOI] [Google Scholar]
- 18.Baranovskii E.S. Mixed initial–boundary value problem for equations of motion of Kelvin–Voigt fluids. Comput. Math. Math. Phys. 2016;56:1363–1371. doi: 10.1134/S0965542516070058. [DOI] [Google Scholar]
- 19.Baranovskii E.S. Global solutions for a model of polymeric flows with wall slip. Math. Meth. Appl. Sci. 2017;40:5035–5043. doi: 10.1002/mma.4368. [DOI] [Google Scholar]
- 20.Baranovskii E.S. Strong solutions of the incompressible Navier–Stokes–Voigt model. Mathematics. 2020;8:181. doi: 10.3390/math8020181. [DOI] [Google Scholar]
- 21.Korpusov M.O., Sveshnikov A.G. Blow-up of Oskolkov’s system of equations. Sb. Math. 2009;200:549–572. doi: 10.1070/SM2009v200n04ABEH004008. [DOI] [Google Scholar]
- 22.Antontsev S.N., de Oliveira H.B., Khompysh K. Kelvin–Voigt equations perturbed by anisotropic relaxation, diffusion and damping. J. Math. Anal. Appl. 2019;473:1122–1154. doi: 10.1016/j.jmaa.2019.01.011. [DOI] [Google Scholar]
- 23.Mohan M.T. Global and exponential attractors for the 3D Kelvin–Voigt–Brinkman–Forchheimer equations. Discret. Contin. Dyn. Syst. Ser. B. 2020;25:3393–3436. doi: 10.3934/dcdsb.2020067. [DOI] [Google Scholar]
- 24.Vorotnikov D.A. On the existence of weak stationary solutions of a boundary value problem in the Jeffreys model of the motion of a viscoelastic medium. Russ. Math. 2004;48:10–14. [Google Scholar]
- 25.Baranovskii E.S. On steady motion of viscoelastic fluid of Oldroyd type. Sb. Math. 2014;205:763–776. doi: 10.1070/SM2014v205n06ABEH004397. [DOI] [Google Scholar]
- 26.Baranovskii E.S. Existence results for regularized equations of second-grade fluids with wall slip. Electron. J. Qual. Theory Differ. Equ. 2015;2015:91. doi: 10.14232/ejqtde.2015.1.91. [DOI] [Google Scholar]
- 27.Browder F.E. Nonlinear elliptic boundary-value problems and the generalized topological degree. Bull. Am. Math. Soc. 1970;76:999–1005. doi: 10.1090/S0002-9904-1970-12530-7. [DOI] [Google Scholar]
- 28.Skrypnik I.V. Methods for Analysis of Nonlinear Elliptic Boundary Value Problems. American Mathematical Society; Providence, RI, USA: 1994. [Google Scholar]
- 29.Adams R.A., Fournier J.J.F. Sobolev Spaces, Vol. 40 of Pure and Applied Mathematics. Elsevier; Amsterdam, The Netherlands: 2003. [Google Scholar]
- 30.Boyer F., Fabrie P. Mathematical Tools for the Study of the Incompressible Navier–Stokes Equations and Related Models. Springer; New York, NY, USA: 2013. [DOI] [Google Scholar]
- 31.Litvinov W.G. The Motion of a Nonlinear Viscous Fluid. Nauka; Moscow, Russia: 1982. [Google Scholar]
- 32.Temam R. Navier–Stokes Equations—Theory and Numerical Analysis. North-Holland Publishing Co.; Amsterdam, The Netherlands: 1977. [Google Scholar]
- 33.Baranovskii E.S., Artemov M.A. Optimal control for a nonlocal model of non-Newtonian fluid flows. Mathematics. 2021;9:275. doi: 10.3390/math9030275. [DOI] [Google Scholar]
- 34.Galdi G.P. An Introduction to the Mathematical Theory of the Navier–Stokes Equations. Steady-State Problems. Springer; New York, NY, USA: 2011. [Google Scholar]
- 35.Krasnoselskii M.A. Topological Methods in the Theory of Nonlinear Integral Equations. Pergamon Press; New York, NY, USA: 1964. [Google Scholar]
- 36.Baranovskii E.S. Feedback optimal control problem for a network model of viscous fluid flows. Math. Notes. 2022;112:26–39. doi: 10.1134/S0001434622070033. [DOI] [Google Scholar]
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