Stabilization of fractional-evolution systems
Ka\"is Ammari, Fathi Hassine, Luc Robbiano

TL;DR
This paper investigates the stabilization of fractional-in-time PDEs, proving exponential stability for certain parameters and polynomial decay of energy in others, advancing understanding of fractional system control.
Contribution
It provides new stability results for fractional PDEs with different parameter regimes, including exponential and polynomial decay behaviors.
Findings
Solutions are exponentially stable when η > 0.
Energy decays to zero as 1/t^α when η=0.
The results extend stability analysis to fractional evolution systems.
Abstract
This paper is devoted to the analysis of the problem of stabilization of fractional (in time) partial differential equations. We consider the following equation with the initial data , where is a unbounded operator in Hilbert space and stands for the fractional derivative. We provide two main results concerning the behavior of the solutions when . We look first to the case where we prove that the solution of this problem is exponential stable then we consider the case when we prove under some consideration on the resolvent that the energy of the solution goes to as goes to the infinity as .
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Taxonomy
TopicsStability and Controllability of Differential Equations · Nonlinear Differential Equations Analysis · Advanced Mathematical Modeling in Engineering
Stabilization of fractional-evolution systems
Kaïs AMMARI
UR Analysis and Control of PDEs, UR 13ES64, Department of Mathematics, Faculty of Sciences of Monastir, University of Monastir, 5019 Monastir, Tunisia and LMV/UVSQ/Paris-Saclay, France
,
Fathi Hassine
UR Analysis and Control of PDEs, UR 13ES64, Department of Mathematics, Faculty of Sciences of Monastir, University of Monastir, 5019 Monastir, Tunisia
and
Luc ROBBIANO
Laboratoire de Mathématiques, Université de Versailles Saint-Quentin en Yvelines, 78035 Versailles, France
Abstract.
This paper is devoted to the analysis of the problem of stabilization of fractional (in time) partial differential equations. We consider the following equation
[TABLE]
with the initial data , where is a unbounded operator in Hilbert space and stands for the fractional derivative. We provide two main results concerning the behavior of the solutions when . We look first to the case where we prove that the solution of this problem is exponential stable then we consider the case when we prove under some consideration on the resolvent that the energy of the solution goes to [math] as goes to the infinity as .
Key words and phrases:
stabilization, abstract-wave equation, fractional-evolution
2010 Mathematics Subject Classification:
35A01, 35A02, 35M33, 93D20
Contents
- 1 Introduction
- 2 Well-posedness and exponential stabilization
- 3 Polynomial stabilization
- 4 Extension to some integro-differential equation
1. Introduction
Integer-order derivatives and integrals have clear physical interpretation and are used for describing different concepts in classical physics. For example, the position of a moving object can be represented as a function of time, the object velocity is then the first derivative of the function, the acceleration is the second derivative and so on. Fractional derivatives and integrals, being generalization of the classical derivative and integrals are expected to have even broader meaning. unfortunately, there is no such result in the literature until now.
For three centuries the theory of fractional derivatives developed mainly as a pure theoretical field of mathematics useful only for mathematicians. However, in the last few decades many authors pointed out that derivatives and integrals of non-integer order are very suitable for the description of properties of various real materials, e.g. polymers. It has been shown that new fractional-order models are more adequate than previously used integer-order models.
Fractional derivatives provide an excellent instrument for the description of memory and hereditary properties of various materials and processes. This is the main advantage of fractional derivatives in comparison with classical integer-order models, in which such effects are in fact neglected. The advantages of fractional derivatives become apparent in modeling mechanical and electrical properties of real materials, as well as in the description of rheological properties of rocks, and in many other fields.
Fractional integrals and derivatives also appear in the theory of control of dynamical systems, when the controlled system or/and the controller is described by a fractional differential equation [1, 12, 23].
Fractional calculus includes various extensions of the usual definition of derivative from integer to real order, including the Riemann-Liouville derivative, the Caputo derivative, the Riesz derivative, the Weyl derivative, etc. In this paper,we only consider the Caputo derivative that leads to an initial condition which is physically meaningful [24].
These models are relevant, in particular, in the context of spatially disordered systems, porous media, fractal media, turbulent fluids and plasmas, biological media with traps, binding sites or macro-molecular crowding, stock price movements, etc. We refer the readers to [5, 6, 19] and the rich references therein for the motivation and description of the model. On the other hand, we refer to [7, 8, 9, 10, 11, 16] and the rich references therein for mathematical analysis of these models.
Let be a Hilbert space equipped with the norm , and let be a closed and densely defined operator on . We consider the following Cauchy problem described by the mean of the fractional derivative as follow:
[TABLE]
where denoted the fractional derivative defined by
[TABLE]
The main result of this paper concerns the precise asymptotic behavior of the solutions of (1.1). In [12], the author consider a fractional integro-differential equation equivalent in some sense to system (1.1) but for the case and where he shows how the asymptotic behavior of the continuous solution depends on some parameter where it’s assumed that is a sectoral operator with a sector depends on . Precisely, if , then the continuous solutions are bounded by an exponential of type and if , then the solutions show a merely algebraic decay of order . In this work we prove under some consideration on the resolvent behavior (weaker then the one considered in [12]) that the second kind of behavior still true if and one shows also that the energy is exponentially stable if .
This paper is organized as follows: In section 2 we prove the well-posedness of system (1.1) and gives an exponential stability result in the case . In section 3 we prove that the energy of system (1.1) is polynomially stable for the case while in section 4 we consider an integro-differential equation where we prove the well-posedness of the equation and a polynomial decay rate of the energy.
2. Well-posedness and exponential stabilization
We define the convolution product of and by
[TABLE]
and for the functions are given by
[TABLE]
Noting that these functions satisfy the semigroup property, namely
[TABLE]
The Riemann-Liouville fractional integral of order is defined as follow
[TABLE]
Using (2.1) we follow that verifying the semigroup property,
[TABLE]
For every such that , the Riemann-Liouville fractional derivative of order is defined by
[TABLE]
The operator is the left inverse and right invertible of (see [3, Theorem 1.5]) more precisely, we have
[TABLE]
and for every such that ,
[TABLE]
We recall that the Caputo fractional derivative of order when is defined by
[TABLE]
then by integration by parts we follow that when , we have
[TABLE]
Hence, the Caputo derivative is a left inverse of but in general it is not a right inverse, namely using (2.3) and (2.4) we have
[TABLE]
and
[TABLE]
By setting , (1.1) is equivalent to the following problem
[TABLE]
Applying in both sides of the first line of (2.7) and using (2.5) and (2.6), we conclude that when satisfying (2.7) is equivalent to the following integral differential equation
[TABLE]
The well-posedness of a system such as (1.1) is related to the notion of what is called solution operator defined as follow:
Definition 2.1**.**
A family (denoted simply by if ) is called a solution operator (or a resolvent) for (1.1) or for (2.8) if the following conditions are satisfied
- (a)
* is strongly continuous for and .*
- (b)
* and for all and .*
- (c)
The resolvent equation holds
[TABLE]
Definition 2.2**.**
A function is called a strong solution of (2.8) if and (2.8) holds on .
Definition 2.3**.**
The problem (2.8) is called well-posed if for any , there is a unique strong solution of (2.8), and when such that as then as in , uniformly on compact intervals.
Definition 2.4**.**
A function is called a strong solution of (1.1) if , and (1.1) holds on .
Definition 2.5**.**
The problem (1.1) is called well-posed if for any , there is a unique strong solution of (1.1), and when such that as then as in , uniformly on compact intervals.
Proposition 2.1**.**
- 1/
Equation (2.8) is well-posed if and only if it admits a resolvent . If this is the case we have in addition for all and and we have
[TABLE] 2. 2/
System (1.1) is well-posed if and only if (2.8) is well-posed.
Proof.
- 1/
Problem (2.8) can be written as follows:
[TABLE]
where we denoted by . Following to [22, Proposition 1.1], (2.10) is well-posed if and only if it admits a solution operator . The result follow easily by observing that is a solution operator of (2.8) and then (2.9) holds. 2. 2/
The first implication follows easily from the definitions. Now suppose that (2.8) is well-posed and let its solution and let as above solution of (2.10). To prove the result we only have to prove that . Since then the convolution of (2.10) with gives
[TABLE]
where we have used (2.1). Then it is easy to show that .
This completes the proof. ∎
Definition 2.6**.**
The solution operator () is called exponentially bounded if there are and such that
[TABLE]
The operator is said to belong to if the problem (1.1) has a solution operator satisfying (2.11). Denote and .
For we denote by
[TABLE]
Definition 2.7**.**
A solution operator of (2.7) is called analytic if admits an analytic extension to a sector for some . An analytic solution operator is said to be of analytic type if for each and there is such that
[TABLE]
Where stands for the real part of . where stands for the real part of . The set of all operators , generating analytic solution operator of type is denoted by . In addition, denote and .
Proposition 2.2**.**
[3, Corollary 2.17]** Suppose that and for some we have
[TABLE]
Then for any , .
Theorem 2.1**.**
Suppose that is a m-dissipative operator on the Hilbert space , then generates a solution operator and system (1.1) is well-posed. In particular, when and system (1.1) is exponentially stable and for some we have
[TABLE]
Proof.
Since the operator is m-dissipative then by [25, Proposition 3.1.9] property (2.12) holds. According to Proposition 2.2, is a generator of solution operator of (2.7), therefore Proposition 2.1 leads to the well-posedness of the problem (2.7) and consequently the well-posedness of (1.1) since . Besides, for some constant we have satisfies
[TABLE]
Therefore, the solution operator since and (2.13) holds. This completes the proof. ∎
Examples 2.1**.**
As examples we consider the following systems:
[TABLE]
and
[TABLE]
where is a smooth bounded open domain of is the derivative along , the unit normal vector pointing outward of and are non-identically zero and non-negative functions.
By a direct implication of Theorem 2.1 we obtain for exponential stability results for (2.14) and (2.15) without any geometric conditions (see [4] for example) on the supports of and .
3. Polynomial stabilization
The aim of this section is to establish a polynomial stabilization result of the system (1.1) only for the case . For this purpose we introduce first some properties of the Mittag-Leffler function ([13, Chapter XVIII] and [20, chapter 1]) defined by
[TABLE]
where is a contour which starts and ends at and encircles the disc counter-clockwise. For short, we denote . The first property claims (see [20, Theorem 1.6]) that for every and , there exists a constant , such that
[TABLE]
Consider also the function of Wright type (see [14, 18, 26]) given by
[TABLE]
where is a contour which starts and ends at and encircles the origin once counter-clockwise. The relationship between the Mittag-Leffler function and the function of Wright type is given by
[TABLE]
That is, is the Laplace transform of in the whole complex plane. Therefore, is a probability density function,
[TABLE]
One of the main ingredients of this section is the following proposition.
Proposition 3.1**.**
[3, Theorem 3.1]** Let , and . If then and the following representation holds
[TABLE]
where . The identity (3.4) holds in the strong sense.
The main result of this section is given by the following theorem.
Theorem 3.1**.**
We suppose that generates a -semigroup on the Hilbert space such that the following properties hold,
[TABLE]
Then (1.1) admits a solution operator such that there exists
[TABLE]
Proof.
With the assumption made on the theorem we can apply Proposition 3.1 with and of course then (1.1) admits a solution operator given by the following formula,
[TABLE]
where we denoted simply by which is the -semigroup generated by . Thanks to the assumptions (3.5), then according to [15, 21] the uniform stabilization holds, that is there exist and such that
[TABLE]
Performing a change of variable on (3.7) and using (3.3) and (3.8) we obtain
[TABLE]
Following to (3.2) and (3.9) we find
[TABLE]
Estimate (3.6) follows now from (3.1) and this completes the proof. ∎
Examples 3.1**.**
As examples we consider here the same systems as above but with :
[TABLE]
and
[TABLE]
where is a smooth bounded open domain of is the derivative along , the unit normal vector pointing outward of and are non-identically zero and non-negative functions.
By a direct implication of Theorem 3.1 we obtain polynomial stability results for (3.10) and (3.11) under geometric conditions G.C.C. (see, respectively, [17] and [4], for example) on the supports of and .
4. Extension to some integro-differential equation
Let be a Hilbert space equipped with the norm , and let be a closed, self-adjoint and strictly positive operator on with dense domain. We introduce the scale of Hilbert spaces , , as follows: for every , , with the norm . The space is defined by duality with respect to the pivot space as follows: for . The operator can be extended (or restricted) to each , such that it becomes a bounded operator
[TABLE]
Let a bounded linear operator , where is another Hilbert space which will be identified with its dual.
We consider the following integro-differential equation
[TABLE]
We set the Hilbert space and we consider the unbounded operator defined by
[TABLE]
where . It is well known (see [1, 2]) that is a generator of a -semigroup of contractions on .
Definition 4.1**.**
A function such that is called a strong solution of (4.1) if the couple \left(\begin{array}[]{c}g_{\alpha}*u\\ u\end{array}\right)\in\mathcal{C}(\mathbb{R}_{+},\mathcal{D}(\mathcal{A})), \left(\begin{array}[]{c}g_{1}*u\\ g_{1-\alpha}*(u-u^{0})\end{array}\right)\in\mathcal{C}^{1}(\mathbb{R}_{+},\mathcal{H}) and (4.1) holds on with .
Definition 4.2**.**
The problem (4.1) is called well-posed if for any such that , there is a unique strong solution of (4.1), and when such that as then in and in as in , uniformly on compact intervals.
Theorem 4.1**.**
Under the above assumptions made on the operator , system (4.1) is well-posed in such away if such that and we have the following regularity of the solution
[TABLE]
If in addition, the following properties hold,
[TABLE]
Then for some constant and for any data , the solution of (4.1) satisfies the following asymptotic estimates
[TABLE]
and
[TABLE]
Remark 4.1**.**
We note that in the case where and if we have immediately that .
Proof.
Let’s consider the following equation
[TABLE]
where we have denoted by
[TABLE]
Since the operator is m-dissipative (see [1]) then according to Theorem 2.1, system (4.5) is well-posed as given by Definition 2.5. In the other hand, according to section 2 system (4.5) is equivalent to the following integral equation
[TABLE]
Equation (4.6) can be also writing as follow:
[TABLE]
Equivalently, we have
[TABLE]
where we have used the semigroup property (2.1). By taking and such that in (4.7), we obtain
[TABLE]
Since in this case is given by the couple \left(\begin{array}[]{c}g_{\alpha}*u(t)\\ u(t)\end{array}\right) where is the solution of the system (4.8) and the problem (4.5) is well-posed then by Definition 2.5, and then this imply that , and then by applying the operator on both sides of(4.8) we find that (4.8) is equivalent to
[TABLE]
where we have used here the semigroup property (2.1) and (2.5). Now we have proved that system (4.5) with U^{0}=\left(\begin{array}[]{c}0\\ u^{0}\end{array}\right) with such that is equivalent to the equation (4.8). Since (4.5) is well-posed in the sens of Definition 2.5 then problem (4.1) is also well-posed in the sens of Definition 4.2 and the regularities of the solution of (4.1) given by the theorem hold.
Now if assumptions (4.2) hold, then according to Theorem 3.1 the solution of (4.5) satisfies the following estimation
[TABLE]
for some constant , then we follow
[TABLE]
This implies in particular the estimates (4.3) and (4.4) and completes the proof. ∎
Example 4.1**.**
We consider the following integro-differential equation:
[TABLE]
where is a smooth bounded open domain of and is non-identically zero and positive function.
By a direct implication of Theorem 4.1 we obtain a polynomial stability result for (4.9) under a geometric condition G.C.C (see [17] for more details) on the support of .
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