Abstract
The aim of this paper is to draw attention to a general principle for solving control problems for operator equations with the help of fixed point techniques. Three distinct applications are presented: a control problem related to the Lotka–Volterra system, the nonlinear Stokes system, and radial solutions of the Neumann problem for φ-Laplace equations. Only for the first application, the control is an explicit external one, while for the next two applications, the control is dependent on the models and arises from the necessity to conform to the actual modeled process or to a certain boundary condition. From the perspective of those interested in applications, the three examples of problems of such a different nature, we believe have been able to suggest the wide applicability of our method thus paving the way for new applications. From a theoretical perspective, the method leading to fixed point equations with composed operators is suitable to be related to advanced research in fixed point theory for single-valued and multi-valued operators.
Authors
Radu Precup
Institute of Advanced Studies in Science and Technology, Babes-Bolyai University, Cluj-Napoca, Romania
Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy
Keywords
Paper coordinates
R. Precup, On some applications of the controllability principle for fixed point equations, Results Appl. Math., 13 (2022), art. no. 100236, https://doi.org/10.1016/j.rinam.2021.100236
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Results in Applied Mathematics
Publisher Name
Elsevier
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Online ISSN
25900374
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On some applications of the controllability principle for fixed point equations
Abstract
The aim of this paper is to draw attention to a general principle for solving control problems for operator equations with the help of fixed point techniques. Three distinct applications are presented: a control problem related to the Lotka-Volterra system, the nonlinear Stokes system, and radial solutions of the Neumann problem for -Laplace equations. Only for the first application, the control is an explicit external one, while for the next two applications, the control is dependent on the models and arises from the necessity to conform to the actual modeled process or to a certain boundary condition. From the perspective of those interested in applications, the three examples of problems of such a different nature, we believe have been able to suggest the wide applicability of our method thus paving the way for new applications. From a theoretical perspective, the method leading to fixed point equations with composed operators is suitable to be related to advanced research in fixed point theory for single-valued and multi-valued operators.
Keywords: control problem, fixed point, boundary value problem, Stokes system, radial solution, Lotka-Volterra system
Subject Classification: 34H05, 34K35, 35Q30, 37N25
1 Introduction
For the field of differential equations, “the general problem of control theory is that to reconstituting a differential system (as a matter of fact some of its parameters viewed as control variables) from certain properties of solution” ([2, p. 34]). In [7] we have introduced a controllability principle for a general control problem related to operator equations, that we reproduce here for the convenience of the reader. It consists in finding a solution to the following system
(1.1) |
associated to the fixed point equation Here is the state variable, is the control variable, is the domain of the states, is the domain of controls and is the controllability domain, usually given by means of some condition/property imposed to or to both and Notice the very general formulation of the control problem, in terms of sets, where and are not necessarily structured sets and is any mapping from to
In this context, we say that the equation is controllable in with respect to providing that problem (1.1) has a solution . If the solution is unique we say that the equation is uniquely controllable.
Let be the set of all possible solutions of the fixed point equation and be the set of all that are first components of some solutions of the fixed point equation, that is
Clearly, the set of all solutions of the control problem (1.1) is given by
Consider the set-valued map defined as
Roughly speaking, gives the ‘expression’ of the control variable in terms of the state variable.
We have the following general principle for solving the control problem (1.1).
Proposition 1
If for some extension of from to there exists a fixed point of the set-valued map
i.e.,
(1.2) |
for some then the couple is a solution of the control problem (1.1).
Proof. Clearly Hence and so Then and from the definition of it follows that Therefore solves (1.1).
Note that and can in particular be single-valued maps and in many cases the extension can be done using the expression of
Two applications for a system modeling cell dynamics related to leukemia have been included in [7]. The aim of this paper is to present some other problems that can be treated by using this principle, hoping this way to pave the way for other further applications.
2 The applications
2.1 A control problem related to the Lotka-Volterra system
Let us consider the classical Lotka-Volterra system (see [1, 8]) modeling the prey-predator dynamics, with a control parameter aimed to modify the rate of attack on the prey population in a such way that after a time period the prey population reaches a desired level
Theorem 2
Let The system is controllable on a short time interval with
Proof. Assume without loss of generality that Integrating gives
This is our fixed point equation with and Using the controllability condition we obtain the necessary form of the control parameter namely
This expression can be used to define the extension of from to the whole Thus we have to find a solution of the system
We shall look for a solution in the closed convex and bounded set
where
One can check that
Let We have that Indeed,
Hence
Also
Hence
In addition, the Arzelà–Ascoli theorem guarantees that the operator is compact on Thus Schauder’s fixed point theorem applies and the proof is finished.
2.2 The nonlinear stationary Stokes system
A mathematical model for the steady-state flow of an incompressible fluid in a given domain and with null velocity on its boundary is given by the well-known Stokes system (see [4, 5, 9, 14, 15])
(2.3) |
Here is a bounded open set, and Physically, there are relevant the cases and when stands for the external force, the unknown functions and are the velocity and pressure, respectively, while the condition means that the fluid is incompressible.
It is well-known that the problem has a unique solution
where Note that the representation of as a gradient of a function is guaranteed by Rham’s Lemma.
Consider now the case of a reaction force namely the problem
(2.4) |
or equivalently
Denoting , it appears to be a control problem for a fixed point equation, where is the state variable, is the control variable and is the controllability condition. Notice the specificity of this problem for which the control is of the process itself, in order to keep the fluid incompressibility, and not an external one. Here
If is a solution of the problem, then
The last equality gives the necessary expression of the control variable in terms of the state variable Thus, with the notation in Section 1,
Obviously, we can extend from to the whole space by using the same expression. Thus
Now the map from the new fixed point equation is in this case
Thus, the solvability of the nonlinear Stokes system reduces to finding a fixed point of the operator that is to solving the equation
The projection operator being nonexpansive, the fixed point approach for elliptic equations (see [11]) can be easily adapted to this case. Here is an existence and uniqueness result based on Banach’s contraction principle, showing the unique controllability of the above problem.
Theorem 3
Proof. For any one has
Thus the operator is a contraction on
For example, the Nemytskii operator where is a Carathéodory function such that and
for all and some satisfies the condition of Theorem 3 provided that Here is the first eigenvalue of the Dirichlet problem for Indeed, using two times Poincaré’s inequality, one has
2.3 Radial solutions of the Neumann problem for -Laplace equations
In paper [12], it is discussed the existence and localization of radial solutions of the Neumann problem for general -Laplace equations with a state-dependent source term. The starting assumption was that for each there exists at least one solution to the problem
(2.5) |
Here is an increasing homeomorphism with and Notice that this happens for singular homeomorphisms, i.e., for as shows Corollary 2.4 in [3].
A double integration leads (see [12, Lemma 2.1]) to the conclusion that a function is a solution of (2.5) if and only if it satisfies the following two conditions:
(2.6) |
(2.7) |
where Relation (2.6) is a fixed point equation in the unknown appears as a control parameter and (2.7) can be seen as the controllability condition. Hence, under the notations in Section 1, we have
Assuming that is a solution and replacing it in (2.7) we have
whence the expression of namely
We use the same expression for the extension of to the whole space and we consider the operator
Clearly, and is completely continuous. We think that the existence of a fixed point of could be obtained via Schauder’s fixed point theorem. The set is closed and convex but unbounded. Hence, in order that Schauder’s theorem apply we need to find a ball of a sufficiently large radius which is invariated by . Such a ball exists if we consider that the function has only a linear growth, i.e., for all and Indeed, one has
and
Hence
Since we can choose the radius of the ball sufficiently large such that
which guarantee that the intersection of with the closed ball centered at the origin and of radius is nonempty ( belongs to both of them) and Hence Schauder’s fixed point applies. Thus we have the following result.
Theorem 4
If is an unbounded increasing homeomorphism (i.e., ) and is such that
(2.8) |
for every and some nonnegative constants with
(2.9) |
then for each problem (2.5) has at least one solution.
Notice that for a singular homeomorphism, i.e., when condition (2.8) holds with and Thus Theorem 4 applies for every .
Also note that if is -Lipschitz on and (2.9) holds, then for any problem (2.5) has a unique solution. In this case, the operator is a contraction on and the result follows from Banach’s contraction principle.
Finally, note that if instead of we consider more generaly and we assume that for all then
Hence, if there exists with
then Schauder’s theorem applies in the ball of radius This sufficient condition holds if and is singular or more general with . The case and singular is covered by Corollary 2.4 in [3]. More general, the invariance of a large ball is obtained if where
3 Conclusion
Through this paper we wanted to highlight the advantages of a general method of solving control problems, inside the theory of operator equations, benefiting from fixed point techniques. Three types of apparently distinct applications were considered.
The first one illustrates those problems with an external explicit control through which it intervenes so that the evolution of the investigated process follows the desired path or leads to the desired result. Such kind of controls are frequently imposed in engineering, economics, ecology and medicine. For many control problems associated to various classes of equations, additional techniques of investigation, and related topics, the interested reader can see the excellent Coron’s monograph [6]; some examples from medicine can be found in paper [7].
Surprisingly, a number of seemingly uncontrolled problems can still be treated as control problems. In such situations, the control is a hidden one and acts from inside the model so that it fits the problem under investigation. Such is the case of the Stokes system - the second application of this paper - for which the control is given by the pressure and comes from the necessity to adjust the flow rate of the incompressible fluid through the porous medium. Another example is of a boundary value problem - as in our third application - where the unknown value of the solution at some point takes over the function of a control variable in order for the solution to satisfy a boundary condition.
From the perspective of those readers interested in applications, the three examples of problems of such a different nature, we believe have been able to suggest the wide applicability of our method, thus paving the way for new applications.
References
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[14] Precup R., Fixed point theorems for decomposable multivalued maps and applications, Z Anal Anwend, 22 (2003), pp. 843-861, View Record in ScopusGoogle Scholar
[15] Precup R., Rodriguez-Lopez J., Fixed point index theory for decomposable multivalued maps and applications to φ-Laplacian problem, Nonlinear Anal, 199 (2020), Article 111958 1–16, ArticleDownload PDFView Record in ScopusGoogle Scholar