Stability and Controllability results for a Timoshenko system
Mohammad Akil, Yacine Chitour, Mouhammad Ghader, Ali Wehbe

TL;DR
This paper investigates the stability and controllability of a one-dimensional Timoshenko system, demonstrating polynomial energy decay under fractional damping and establishing exact controllability using boundary controls.
Contribution
It provides new insights into the stability decay rates depending on damping coefficients and proves exact controllability with boundary controls under specific conditions.
Findings
System is strongly stable but not uniformly stable.
Energy decay rate depends on PDE coefficients and fractional damping order.
System is exactly controllable with boundary control in finite time.
Abstract
In this paper, we study the indirect boundary stability and exact controllability of a one-dimensional Timoshenko system. In the first part of the paper, we consider the Timoshenko system with only one boundary fractional damping. We first show that the system is strongly stable but not uniformly stable. Hence, we look for a polynomial decay rate for smooth initial data. Using frequency domain arguments combined with the multiplier method, we prove that the energy decay rate depends on coefficients appearing in the PDE and on the order of the fractional damping. Moreover, under the equal speed propagation condition, we obtain the optimal polynomial energy decay rate. In the second part of this paper, we study the indirect boundary exact controllability of the Timoshenko system with mixed Dirichlet-Neumann boundary conditions and boundary control. Using non-harmonic analysis, we first…
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Taxonomy
TopicsStability and Controllability of Differential Equations · Advanced Mathematical Physics Problems · Quantum chaos and dynamical systems
Stability and Controllability results for a Timoshenko system
Mohammad AKIL1,3, Yacine Chitour2, Mouhammad Ghader1,2 and Ali Wehbe1
1Lebanese University, Faculty of sciences 1, Khawarizmi Laboratory of Mathematics and Applications-KALMA, Hadath-Beirut.
2 Paris-Saclay University, L2S, 3 Rue Joliot Curie, Gif-sur-Yvette, France.
3 Insa de Rouen, LMI, 685 Avenue de l’Université, Rouen, France.
Email: [email protected], [email protected], [email protected], [email protected]
Abstract.
In this paper, we study the indirect boundary stability and exact controllability of a one-dimensional Timoshenko system. In the first part of the paper, we consider the Timoshenko system with only one boundary fractional damping. We first show that the system is strongly stable but not uniformly stable. Hence, we look for a polynomial decay rate for smooth initial data. Using frequency domain arguments combined with the multiplier method, we prove that the energy decay rate depends on coefficients appearing in the PDE and on the order of the fractional damping. Moreover, under the equal speed propagation condition, we obtain the optimal polynomial energy decay rate. In the second part of this paper, we study the indirect boundary exact controllability of the Timoshenko system with mixed Dirichlet-Neumann boundary conditions and boundary control. Using non-harmonic analysis, we first establish a weak observability inequality, which depends on the ratio of the waves propagation speeds. Next, using the HUM method, we prove that the system is exactly controllable in appropriate spaces and that the control time can be small.
Keywords. Timoshenko system, Boundary Damping, Strong stability, Exponential stability, Polynomial stability, Observability inequality, Exact controllability.
Contents
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3.2 Observability and exact controllability under equal speeds wave propagation condition
-
3.3 Observability and exact controllability when the speeds of propagation are different
1. Introduction
In this work, we consider the Timoshenko system given by
[TABLE]
with several types of boundary conditions precised later on. Here the coefficients , and are positive constants and we would like to understand precisely what is the influence of these coefficients on the indirect boundary stability and exact controllability of (1.1).
In the first part of this paper, we study the stability of the Timoshenko system (1.1) with only one boundary fractional damping, i.e, System (1.1) is subject to the following boundary conditions
[TABLE]
in addition to the following initial conditions
[TABLE]
Here the coefficients and are non negative and in respectively. 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, cf. [64]. In this paper, we consider the Caputo’s fractional derivative
[TABLE]
In the second part of this paper, we study the exact controllability of the Timoshenko system (1.1) where only one boundary control is applied on the right boundary of the first equation, the second equation is indirectly controlled by means of the coupling between the equations, i.e, system (1.1) is subject to the following boundary conditions
[TABLE]
in addition to the following initial conditions
[TABLE]
The Timoshenko system is usually considered as describing the transverse vibration of a beam and ignoring damping effects of any nature. Precisely, we have the following model, which was developed by Timoshenko in 1921 (see in [67]),
[TABLE]
where is the transverse displacement of the beam, and is the rotation angle of the filament of the beam. The coefficients and are respectively the density (the mass per unit length), the polar moment of inertia of a cross section, Young’s modulus of elasticity, the moment of inertia of a cross section and the shear modulus respectively.
The fractional derivatives are nonlocal and involve singular and non-integrable kernels (, ). We refer the readers to [64] and the rich references therein for the mathematical description of the fractional derivative. The fractional order or, in general, of convolution type is not only important from the theoretical point of view but also for applications as they naturally arise in physical, chemical, biological, ecological phenomena see for example [59], and references therein. They are used to describe memory and hereditary properties of various materials and processes. For example, in viscoelasticity, due to the nature of the material microstructure, both elastic solid and viscous fluid like response qualities are involved. Using Boltzmann assumption, we end up with a stress-strain relationship defined by a time convolution. Viscoelastic response occurs in a variety of materials, such as soils, concrete, rubber, cartilage, biological tissue, glasses, and polymers (see in [19, 68, 20] and [52]). In our case, the fractional dissipation describes an active boundary viscoelastic damper designed for the purpose of reducing the vibrations (see in [53, 54]).
The notion of indirect damping mechanisms has been introduced by Russell in [63], and since this time, it retains the attention of many authors, for instance, let us quote the papers of Alabau [4, 8] for a general studies on the hyperbolic systems with indirect boundary stabilizations and [5, 9] for indirect boundary observability and controllability of weakly coupled hyperbolic systems. Note nevertheless that the above system does not enter in the framework of these papers. Let us now mention some known results related to the stabilization of the Timoshenko beam. There are a number of publications concerning the stabilization of the Timoshenko system with different kinds of damping. Kim and Renardy in [39] considered Timoshenko (1.5) with two boundary controls of the form
[TABLE]
they establish an exponential decay result for the system (1.5). Raposo and al. in [62] studied Timoshenko (1.5) with homogeneous Dirichlet boundary conditions and two linear frictional dampings; i.e, they considered the following system
[TABLE]
they showed that the Timoshenko system (1.7) is exponentially stable. Soufyane and Wehbe in [65] considered Timoshenko (1.5) with one internal distributed dissipation law; i.e, they cosidered the following system:
[TABLE]
where is a positive continuous function such that
[TABLE]
They showed that the Timoshenko system (1.8) is exponentially stable if and only if the wave propagation speeds are equal (i.e., ), otherwise, only the strong stability holds. Indeed, Rivera and Racke in [58] improved the previous results and showed an exponential decay of the solution of the system (1.8) when the coefficient of the feedback admits an indefinite sign. Muñoz Rivera and Racke in [57] studied nonlinear Timoshenko system of the form
[TABLE]
where is the difference temperature. Under some conditions of and they proved several exponential decay results for the linearized system and non-exponential stability result for the case of different wave speeds of propagation. Muñoz Rivera and Racke in [61] studied nonlinear Timoshenko system of the form
[TABLE]
with homogeneous boundary conditions, they showed that the Timoshenko system (1.10) is exponentially stable if and only if the wave propagation speeds are equal, otherwise, only the polynomial stability holds. Alabau-Boussouira [12] extended the results of [61] to the case of nonlinear feedback , instead of , where is a globally Lipchitz function satisfying some growth conditions at the origin. Indeed, she considered the following system
[TABLE]
with homogeneous boundary conditions. In fact, if the wave propagation speeds are equal she established a general semi-explicit formula for the decay rate of the energy at infinity. Otherwise, she proved polynomial decay in the case of different speed of propagation for both linear and nonlinear globally Lipschitz feedbacks. Ammar-Khodja and al. in [15] considered a linear Timoshenko system with memory of the form
[TABLE]
with homogeneous boundary conditions. They proved that the system (1.12) is uniformly stable if and only if the wave speeds are equal and decays uniformly. Also, they proved an exponential decay if decays at an exponential rate and polynomially if decays at a polynomial rate. Ammar-Khodja and al. in [16] studied the decay rate of the energy of the nonuniform Timoshenko beam with two boundary controls acting in the rotation-angle equation. In fact, under the equal speed wave propagation condition, they established exponential decay results up to an unknown finite dimensional space of initial data. In addition, they showed that the equal speed wave propagation condition is necessary for the exponential stability. However, in the case of non equal speeds, no decay rate has been discussed. The result in [16] has been recently improved by Wehbe and al. in [21] where are established nonuniform stability and an optimal polynomial energy decay rate of the Timoshenko system with only one dissipation law on the boundary. In addition to the previously cited papers. The stability of the Timoshenko system with a different kind of damping has been also studied [15, 69, 31, 33, 29, 56, 30, 66, 36, 21, 22, 1]. For the stabilization of the Timoshenko beam with nonlinear term, we mention [57, 12, 55, 17, 55, 27, 36]. In [24], Benaissa and Benazzouz considered the Timoshenko beam system with two dynamic control boundary conditions of fractional derivative type
[TABLE]
where , and are positive constant. They showed that the system (1.13) is not uniformly stable by a spectral analysis. Hence, using the semigroup theory of linear operators and a result obtained by Borichev and Tomilov, they established a polynomial energy decay rate of type .
In the first part of this paper, unlike [24], we study the stability of the Timoshenko system (1.1) with only one fractional derivative (1.2). We show that the energy of the system (1.1)-(1.2) has a polynomial decay rate of type , where
[TABLE]
Moreover, in some cases, we obtain the optimal order of polynomial stability (see theorem 2.19).
We now turn to the second set of results of the paper, which addresses controllability issues of the Timoshenko system with different types of control. For the boundary control, Zhang and Hu in [70] studied the exact controllability of a Timoshenko beam with dynamic boundary controls. Since the controlled Timoshenko system connects with a rigid antenna at one end, the authors introduced two new variables in order to describe their actions. The obtained system was described by two partial and two ordinary differential equations. By using the HUM method, the exact controllability of the system is proved in the energy space. In [17], Araruna and Zuazua considered the dynamical one-dimensional Mindlin-Timoshenko system for beams. They analyzed how its controllability properties depend on the modulus of elasticity in shear . In particular, under some assumptions on the initial conditions, they proved that the exact boundary controllability property of the Kirchhoff system is obtained as a singular limit, as For the internal control, we mention [35] and [34]. Note also that the observability and exact controllability of coupled waves equations, have been studied by an extensive number of publications (see[43, 4, 6, 9, 71, 41, 14, 49]). In addition to the previously cited papers, we mention [4, 8, 7, 11, 10, 13, 37, 46, 51, 48] for the stabilization of coupled waves equations.
In this paper, we study the indirect boundary exact controllability of the Timoshenko system (1.1) with the boundary conditions (1.4) while waves propagate with equal or different speeds. We use the Hilbert Uniqueness Method introduced by Lions [32] (see also [43, 42, 44, 41, 40]). To this aim, by using Ingham’s Theorem [41], we first establish the inverse and the direct observability inequalities for the homogeneous Timoshenko system. Next, we use the Hilbert Uniqueness Method, to get the exact controllability for the Timoshenko system (1.1) with the boundary conditions (1.4) in appropriate functional spaces of terminal data.
Last but not least, in addition to the previously cited papers, the stability of wave equation with fractional damped, have been studied by an extensive number of publications. Mbodje in [53] considered a D wave equation with a boundary viscoelastic damper of the fractional derivative type. In that reference, it is proved that the energy does not decay uniformly (exponentially) to zero but polynomial energy decay rate of type is obtained. This result has been recently improved by Akil and Wehbe in [3] in the multi-dimensional, where it is shown that energy of smooth solutions converges to zero as goes to infinity, as . In [2], coupled wave equations with only one fractional dissipation law are considered and it is proved that the system is not uniformly (exponentially) stable but polynomially stable under arithmetic conditions on coefficients of the system, with optimal order in some cases.
This paper is organized as follows: In section 2, we study the stability of the Timoshenko with only one Fractional derivative. In subsection 2.1, we prove the well-posedness of system (1.1) with the boundary conditions (1.2). In subsection 2.2, we prove the strong stability of the system in the lack of the compactness of the resolvent of the generator. In subsection 2.3, we prove that the Timoshenko system (1.1) considered with the boundary conditions (1.2) is non-uniformly stable when the speeds of the propagation of the waves are either equal or different. More precisely, we show that an infinite number of eigenvalues approach the imaginary axis. In subsection 2.4, we prove the polynomial stability of the system, with a faster polynomial decay rate if the waves propagate with equal speed: the energy of system (1.1)-(1.2) has a polynomial decay rate of type , where
[TABLE]
In section 3, we study the exact controllability of the Timoshenko system (1.1) with the boundary conditions (1.4). In subsection 3.1, we set the framework of the homogeneous Timoshenko system (1.1) and we establish the characteristic equation satisfied by the eigenvalues of the operator . Next, in subsection 3.2, we prove the exact controllability of the system (1.1) with the boundary conditions (1.4) while waves propagate with the same speed, i.e., . Depending on number theoretical properties of the constants , we deduce the corresponding observability spaces. In subsection 3.3, we consider the case where the waves propagate with different speeds and show the exact controllability of the system (1.1) with the boundary conditions (1.4) and the corresponding observability spaces depending on the parameter
2. Stability of Timoshenko system with Fractional derivative
In this section, we study the stability of the Timoshenko system (1.1) with the boundary conditions (1.2). This system defined in takes the following form
[TABLE]
with the following boundary conditions
[TABLE]
in addition to the following initial conditions
[TABLE]
Here are positive constants, and .
2.1. Augmented model and well-posedness
In this part, using a semigroup approach, we establish well-posedness result for the system (2.1)-(2.6). For this purpose, we first recall Theorem 2 stated in [53].
Theorem 2.1**.**
(See Theorem 2 in [53]) Let and be the function defined almost everywhere on by
[TABLE]
The relationship between the input and the output of the following system
[TABLE]
is given by
[TABLE]
where
[TABLE]
Since , one has that . From Equations (1.3) and (2.7) one clearly has
[TABLE]
Therefore, from Theorem 2.1 and Equation (2.8), System (2.1)-(2.6) can be rewritten as the following augmented model
[TABLE]
with the boundary conditions
[TABLE]
System (2.9)-(2.11) has to be completed with the following initial conditions
[TABLE]
The energy of System (2.9)-(2.13) is given by
[TABLE]
Let be a regular solution of (2.9)-(2.11). Multiplying (2.9), (2.10) and (2.11) by and respectively, then using the boundary conditions (2.12)-(2.13), we get
[TABLE]
Thus System (2.9)-(2.13) is dissipative in the sense that its energy is non increasing with respect to the time . Let us define the energy space by
[TABLE]
such that
[TABLE]
It is easy to check that the spaces and are Hilbert spaces over equipped respectively with the norms
[TABLE]
where denotes the usual norm of . The energy space is equipped with the inner product defined by
[TABLE]
for all and in . We use to denote the corresponding norm. We define the linear unbounded operator in by
[TABLE]
and
[TABLE]
Remark 2.2**.**
The condition is imposed to insure the existence of in (2.13).
If is the state of (2.9)-(2.13), then the Timoshenko system is transformed into the first order evolution equation on the Hilbert space given by
[TABLE]
where
[TABLE]
Proposition 2.3**.**
The unbounded linear operator is m-dissipative in the energy space .
Proof. For , one has
[TABLE]
which implies that is dissipative. Here Re is used to denote the real part of a complex number. We next prove the maximality of . For , we show the existence of , unique solution of the equation
[TABLE]
Equivalently, one must consider the system given by
[TABLE]
From (2.23) and (2.19), we get
[TABLE]
Inserting (2.19) and (2.21) in (2.20) and (2.22), we get
[TABLE]
with the boundary conditions
[TABLE]
Let . Multiplying Equations (2.25) and (2.26) by and respectively, we obtain
[TABLE]
Using (2.24) and (2.27), we get
[TABLE]
where
[TABLE]
By using the fact that , , and , we can easily check that and are well defined. Adding Equations (2.28) and (2.29), we obtain
[TABLE]
where
[TABLE]
and
[TABLE]
Thanks to (2.32), (2.33) and using the fact that , we have that is a bilinear continuous coercive form on , and is a linear continuous form on . Then, using Lax-Milgram Theorem, we deduce that there exists unique solution of the variational problem (2.31). Applying the classical elliptic regularity we deduce that , completing the proof of the proposition. Thanks to Lumer-Phillips Theorem (see [50, 60]), we deduce that generates a -semigroup of contractions in and therefore problem (2.9)-(2.13) is well-posed. Then, we have the following result.
Theorem 2.4**.**
For any , the problem (2.9)-(2.13) admits a unique weak solution
[TABLE]
Moreover, if then
[TABLE]
2.2. Strong stability
We introduce here the notions of stability that we encounter in this work.
Definition 2.5**.**
Assume that is the generator of a C0-semigroup of contractions on a Hilbert space . The -semigroup is said to be
strongly stable if
[TABLE] 2. 2.
exponentially (or uniformly) stable if there exist two positive constants and such that
[TABLE] 3. 3.
polynomially stable if there exists two positive constants and such that
[TABLE]
In that case, one says that solutions of (2.18) decay at a rate . The -semigroup is said to be polynomially stable with optimal decay rate (with ) if it is polynomially stable with decay rate and, for any small enough, there exists solutions of (2.18) which do not decay at a rate .
We now look for necessary conditions to show the strong stability of the -semigroup . We will rely on the following result obtained by Arendt and Batty in [18].
Theorem 2.6**.**
Assume that is the generator of a Csemigroup of contractions on a Hilbert space . If
has no pure imaginary eigenvalues, 2. 2.
is countable,
where denotes the spectrum of , then the -semigroup is strongly stable.
Our main result in this part is the following theorem.
Theorem 2.7**.**
Assume that , then the semigroup of contractions is strongly stable on in the sense that for all if
[TABLE]
The argument for Theorem 2.7 relies on the subsequent lemmas.
Lemma 2.8**.**
Assume that and condition holds. Then, one has
[TABLE]
Proof. Let and , such that
[TABLE]
Equivalently, we have
[TABLE]
First, a straightforward computation gives
[TABLE]
consequently, we deduce that
[TABLE]
From (2.34), (2.38), (2.39) and using the fact that , we get
[TABLE]
Substituting Equations (2.34), (2.36) in Equations (2.35), (2.37) and using Equation (2.40), we get
[TABLE]
If , by elementary computations, one deduces that , and consequently . If , combining Equations (2.41)-(2.43), we get the following system
[TABLE]
The characteristic equitation of System (2.44) is
[TABLE]
Setting
[TABLE]
The polynomial has two distinct real roots and given by:
[TABLE]
It is clear that and the sign of depends on the value of with respect to We hence distinguish the three cases: , and .
Case 1. : then and set
[TABLE]
Then has four distinct roots and the general solution of (2.44) is given by
[TABLE]
where Using the boundary condition (2.45) and the fact that , we get , hence
[TABLE]
Using the boundary conditions (2.46) and (2.47) and the fact that , we get
[TABLE]
yielding that . Therefore System (2.44)-(2.47) admits only the zero and the proof of the lemma is complete.
Case 2. : in this case , and one gets that
[TABLE]
Then has two simple roots , and [math] as a double root. Hence the general solution of (2.44) is
[TABLE]
where . From the boundary condition (2.45), we get . Moreover, from boundary conditions (2.46) and (2.47), we get
[TABLE]
Assume first that . It follows that
[TABLE]
Therefore, after choosing , one gets that
[TABLE]
which contradicts . Hence . It implies that and . Consequently and one gets the conclusion.
Case 3. : then and set
[TABLE]
Then has again four distinct roots . The general solution of (2.44) is given by
[TABLE]
where Using boundary conditions (2.45) and the fact that , we get , hence
[TABLE]
Assume that and . It follows that
[TABLE]
From (2.49) and (2.50), we get
[TABLE]
From (2.51), we get
[TABLE]
which contradicts . Hence, or . Using boundary conditions (2.46) and (2.47), we can easyly check that . Consequently and the conclusion follows.
Lemma 2.9**.**
Assume that . Then, the operator is not invertible and consequently .
Proof. Let , and assume that there exists such that
[TABLE]
it follows that
[TABLE]
Hence, we deduce that , which contradicts the fact that . Consequently, the operator is not invertible, as claimed. The following lemma is a technical result to be used in the proof of Lemma 2.12 given below.
Lemma 2.10**.**
Assume that condition holds and assume that either or and . Then, for any , the following system
[TABLE]
admits a unique strong solution , where
[TABLE]
Remark 2.11**.**
Since , under the assumptions of the above lemma, it is easy to check that
[TABLE]
Proof of Lemma 2.10. We distinguish two cases.
Case 1. and : System (2.52) becomes
[TABLE]
Let . Multiplying the first and the second equations of (2.53) by and respectively, integrating in and taking the sum, then using by parts integration and the boundary conditions in (2.53), we get
[TABLE]
The left hand side of (2.54) is a bilinear continuous coercive form on , and the right hand side of (2.54) is a linear continuous form on . Using Lax-Milgram theorem, we deduce that there exists a unique solution of the variational problem (2.54). Hence, by applying the classical elliptic regularity we deduce that System (2.53) has a unique strong solution .
Case 2. : we first define the linear unbounded operator by
[TABLE]
and
[TABLE]
For any , let us consider the following system
[TABLE]
Let . Multiplying the first and the second equations of (2.55) by and respectively, integrating in and taking the sum, we obtain
[TABLE]
From the boundary conditions in (2.55) and the fact that , we get
[TABLE]
Inserting (2.57) in (2.56), we get
[TABLE]
where
[TABLE]
and
[TABLE]
Thanks to (2.59), (2.60) and using Remark 2.11, we have that is a bilinear continuous coercive form on , and is a linear continuous form on . Then, using Lax-Milgram theorem, we deduce that there exists unique solution of the variational Problem (2.58) and deduce that System (2.55) has a unique strong solution . In addition, we have
[TABLE]
where . It follows, from the above inequality and the compactness of the embeddings into , that the inverse operator is compact in . Then, applying to (2.52), we get
[TABLE]
Consequently, by Fredholm’s alternative, proving the existence of solution of (2.61) reduces to proving . Indeed, if , then It follows that
[TABLE]
Multiplying the first and the second equations of (2.62) by and respectively, integrating in and taking the sum, then using by parts integration and the boundary conditions in (2.62), we get
[TABLE]
Hence, we have
[TABLE]
where Im stands for the imaginary part of a complex number. Since , we get
[TABLE]
Inserting (2.64) in (2.62), we get
[TABLE]
It is now easy to see that if is a solution of System (2.65), then the vector defined by
[TABLE]
belongs to , and Therefore, . Using Lemma 2.8, we get . This implies that System (2.61) admits a unique solution due to Fredholm’s alternative, hence System (2.52) admits a unique solution . Thus, the proof of the lemma is complete. We use the previous lemma to deduce the following one.
Lemma 2.12**.**
Assume that either or and . Then is surjective.
Proof. Let , we look for solution of
[TABLE]
Equivalently, we consider the following system
[TABLE]
where
[TABLE]
and
[TABLE]
Since and , under the hypotheses of the lemma, it is easy to check that
[TABLE]
Let such that
[TABLE]
Setting and in (2.68)-(2.71), we obtain
[TABLE]
Using Lemma 2.10, System (2.72) has a unique solution . Therefore, System (2.67)-(2.71) admits a solution
[TABLE]
Thus, we define and
[TABLE]
we conclude that the equation admits a solution , hence the thesis. We are now in a position to conclude the proof of Theorem 2.7.
Proof of Theorem 2.7. Using Lemma 2.8, we have that has non pure imaginary eigenvalues. According to Lemmas 2.8, 2.9, 2.12 and with the help of the closed graph theorem of Banach, we deduce that if and if . Thus, we get the conclusion by applying Theorem 2.6 of Arendt and Batty. The proof of the theorem is complete.
2.3. Lack of exponential stability
In this part, we use the classical method developed by Littman and Markus in [45] (see also [28]), to show that the Timoshenko System (2.9)-(2.13) is not exponentially stable.
Theorem 2.13**.**
The semigroup generated by the operator is not exponentially stable in the energy space
For the proof of Theorem 2.13, we recall the following definitions: the growth bound and the the spectral bound of are defined respectively as
[TABLE]
and
[TABLE]
Then, according to Theorem 2.1.6 and Lemma 2.1.11 in [28], one has that
[TABLE]
By the previous results, one clearly has that and the theorem would follow if equality holds in the previous inequality. It therefore amounts to show the existence of a sequence of eigenvalues of whose real parts tend to zero.
Since is dissipative, we fix small enough and we study the asymptotic behavior of the eigenvalues of in the strip
[TABLE]
First, we determine the characteristic equation satisfied by the eigenvalues of . For this aim, let be an eigenvalue of and let be an associated eigenvector such that . Then, we have
[TABLE]
with the boundary conditions
[TABLE]
From (2.73), (2.74) and using the boundary conditions (2.76), we get
[TABLE]
Inserting (2.75) and (2.78) in (2.77), we get
[TABLE]
Therefore, from (2.73), (2.74), (2.76) and (2.79), we have
[TABLE]
The characteristic equation associated with System (2.80) is given by
[TABLE]
In order to proceed, we set the following notation. Here and below, in the case where is a non zero non-real number, we define (and denote) by the square root of , i.e., the unique complex number with positive real part whose square is equal to .
Our aim is to study the asymptotic behavior of the large eigenvalues of in . A careful examination shows that admits four distinct roots if . In case of equal wave propagation speed (i.e. ), this is automatically true and, in case of different wave propagation speeds, this again holds true by taking large enough. Hence, the general solution of (2.80) is given by
[TABLE]
where the ’s denote the four distinct roots of , for all and
[TABLE]
Here and below, for simplicity we denote by . Equation (2.81) can be written in the form
[TABLE]
where for all From the boundary conditions in (2.80) at , for large enough, we get . Consequently,
[TABLE]
Moreover, the boundary conditions in (2.80) at can be expressed by
[TABLE]
where
[TABLE]
and
[TABLE]
Denoting the determinant of a matrix by , one gets that
[TABLE]
Equation (2.80) admits a non trivial solution if and only if . Next, for the proof of Theorem 2.13, we recall Lemma 2.1 stated in [24].
Lemma 2.14**.**
Let then
[TABLE]
Proposition 2.15**.**
Assume that . Then there exist sufficiently large and two sequences and of simple roots of (that are also simple eigenvalues of ) satisfying the following asymptotic behavior:
[TABLE]
and
[TABLE]
Proof. If , then using the asymptotic expansion in (2.82), we get
[TABLE]
First, from (2.86), we get
[TABLE]
Next, inserting (2.86) in (2.83), we get
[TABLE]
On the other hand, we have
[TABLE]
From Lemma 2.14 and (2.89), we get
[TABLE]
Therefore, from (2.87), (2.88) and (2.90), we get
[TABLE]
Let be a large eigenvalue of , then from (2.91), is a large root of the following asymptotic equation
[TABLE]
where
[TABLE]
Note that and remains bounded in the strip The roots of are given by
[TABLE]
Finally, with the help of Rouché’s Theorem, there exists large enough, such that the large roots of , denoted by , are close to those of , that is
[TABLE]
Consequently, we get (2.84) and (2.85). Thus, the proof of the proposition is complete.
Proposition 2.16**.**
Assume that . Then there exist sufficiently large and two sequences and of simple roots of (that are also simple eigenvalues of ) satisfying the following asymptotic behavior:
Case 1. If , , then
[TABLE]
and
[TABLE]
Case 2. If , , then
[TABLE]
and
[TABLE]
Case 3. If , , then
[TABLE]
and
[TABLE]
Proof. Assume that , then from (2.82), (2.83), and Lemma 2.14, we get
[TABLE]
and
[TABLE]
Hence, we have
[TABLE]
We divide the proof into four steps:
Step 1. In this step, we prove that the eigenvalues of , are roots of the following function
[TABLE]
First, using the asymptotic expansion in (2.98), we get
[TABLE]
From (2.101), we get
[TABLE]
Next, using the asymptotic expansion, we get
[TABLE]
Consequently, we get
[TABLE]
Inserting (2.102) and (2.103) in (2.99), then using the fact that
[TABLE]
we get
[TABLE]
Equation (2.80) admits a non trivial solution if and only if , i.e., if and only if the eigenvalues of are roots of the function , defined by
[TABLE]
Hence, we get (2.100).
Step 2. We look at the roots of . First, from (2.101), we have
[TABLE]
From (2.104) and using the fact that is bounded, we get
[TABLE]
Next, substituting (2.105) in (2.100), we get
[TABLE]
Indeed, using Rouché’s Theorem, and the asymptotic Equation (2.106), it is easy to see that the large roots of (denoted by and ) are simple and close to those of , i.e., there exists , such that for all integers , we have
[TABLE]
Step 3. We seek to determine . Inserting (2.107) in (2.106), we get
[TABLE]
On the other hand, since , we have the asymptotic expansion
[TABLE]
Inserting (2.110) in (2.109), then using the fact that
[TABLE]
we get
[TABLE]
We distinguish two cases:
Case 1. There exists no integer such that . Then, we have
[TABLE]
therefore, from (2.111), we get
[TABLE]
Substituting (2.112) in (2.107), we get the estimates (2.92) and (2.96).
Case 2. If there exists such that , then
[TABLE]
therefore, from (2.111), we get
[TABLE]
Inserting (2.113) in (2.107), we get
[TABLE]
since in this case the real part of still does not appear, we need to increase the order of the finite expansion. So, in order to complete the proof of (2.94), we need to show that
[TABLE]
For this aim, inserting (2.114) in (2.98), then using the asymptotic expansion, we get
[TABLE]
Therefore, we have
[TABLE]
Inserting (2.114) and (2.115) in (2.100), then using the asymptotic expansion, we get
[TABLE]
Consequently, we obtain
[TABLE]
Substituting (2.116) in (2.114), we get
[TABLE]
again the real part of still does not appear, so we need to increase the order of the finite expansion. For this aim, inserting (2.117) in (2.98) and using the asymptotic expansion, we get
[TABLE]
Therefore, we have
[TABLE]
Inserting (2.117) and (2.118) in (2.100), then using the asymptotic expansion, we get
[TABLE]
Consequently, we obtain
[TABLE]
Inserting (2.119) in (2.117), we get the estimate (2.94).
Step 4. We seek to determine . Inserting (2.108) in (2.106), we get
[TABLE]
On the other hand, since , using the asymptotic expansion in (2.120), we get
[TABLE]
We distinguish two cases:
Case 1. There exists no integer such that . Then, we have
[TABLE]
therefore, from (2.121), we get
[TABLE]
Inserting (2.122) in (2.108), we get the estimates (2.93) and (2.95).
Case 2. If there exists such that , then
[TABLE]
therefore, from (2.121), we get
[TABLE]
Substituting (2.123) in (2.108), we get
[TABLE]
since in this case the real part of still does not appear, we need to increase the order of the finite expansion. Inserting (2.124) in (2.98) and using the asymptotic expansion, we get
[TABLE]
Therefore, we have
[TABLE]
Inserting (2.124) and (2.125) in (2.100), then using the asymptotic expansion, we get
[TABLE]
Consequently, we get
[TABLE]
Inserting (2.126) in (2.124), we get
[TABLE]
again the real part of still does not appear, so we need to increase the order of the finite expansion. For this aim, inserting (2.127) in (2.98) and using the asymptotic expansion, we get
[TABLE]
Therefore, we have
[TABLE]
Inserting (2.127) and (2.128) in (2.100), then using the asymptotic expansion, we get
[TABLE]
Consequently, we get
[TABLE]
Finally, inserting (2.129) in (2.127), we get (2.97). Thus, the proof of the proposition is complete. Proof of Theorem 2.13. From Propositions 2.15 and 2.16, the operator has two branches of eigenvalues with eigenvalues admitting real parts tending to zero. Hence, the energy corresponding to the first and second branch of eigenvalues has no exponential decaying. Therefore the total energy of the Timoshenko System (2.9)-(2.13) has no exponential decaying both in the equal speed case, i.e., or in the different speed case, i.e., when .
2.4. Polynomial stability
In the case where is not exponentially stable, we look for a polynomial decay rate. In this section, we use the frequency domain approach method to show the polynomial stability of associated with the Timoshenko System (2.9)-(2.13). The frequency domain approach method has been obtained by Batty in [23], Borichev and Tomilov in [25], Liu and Rao in [47].
Theorem 2.17**.**
(Batty in [23], Borichev and Tomilov in [25], Liu and Rao in [47]). Assume that is the generator of a strongly continuous semigroup of contractions on . If , then for a fixed the following conditions are equivalent
2. 2.
\displaystyle{\|e^{t\mathcal{A}_{1}}U_{0}\|_{\mathcal{H}_{1}}\leq\dfrac{C}{t^{{\frac{1}{\ell}}}}\ \|U_{0}\|_{D\left(\mathcal{A}_{1}\right)}\quad\forall\ t>0,\ U_{0}\in D\left(\mathcal{A}_{1}\right)},\ for some
Our results are gathered in the following two theorems.
Theorem 2.18**.**
Assume that , condition holds, and
[TABLE]
Then there exists such that, for every , the energy of the System (2.9)-(2.13) has the optimal polynomial decay rate, we have
[TABLE]
where
[TABLE]
Theorem 2.19**.**
Assume that , condition holds, and
[TABLE]
Then, for almost all real number , there exists such that for every , we have
[TABLE]
Since , for the proof of Theorem 2.18 and Theorem 2.19, according to Theorem 2.17, we need to prove that
[TABLE]
where if condition (2.130) holds and if condition (2.132) holds.
We will argue by contradiction. Therefore suppose there exists , with and
[TABLE]
such that
[TABLE]
Equivalently, we have
[TABLE]
where
[TABLE]
In the following, we will prove that, under Condition (H3), and (2.133), one also gets that , hence reaching the desired contradiction. For clarity, we divide the proof into several lemmas. From now on, for simplicity, we drop the index . From (2.135) and (2.137), we remark that
[TABLE]
Lemma 2.20**.**
Let , we have
[TABLE]
Proof. Taking the inner product of (2.134) with in , then using the fact that is uniformly bounded in , we get
[TABLE]
Lemma 2.21**.**
Let , we have
[TABLE]
Proof. First, from the boundary condition, we have
[TABLE]
using Cauchy-Shariwz inequality, we get
[TABLE]
Then, from (2.141), (2.144) and using the fact that for all , we obtain asymptotic estimate of (2.142). Next, from (2.139), we get
[TABLE]
Multiplying equation (2.145) by , integrating over with respect to the variable and applying Cauchy-Schwarz inequality, we obtain
[TABLE]
where
[TABLE]
It is easy to check that
[TABLE]
Moreover, we have
[TABLE]
Thus, equation (2.148) may be simplified by defining a new variable . Substituting by in equation (2.148), we get
[TABLE]
Using the fact that , it is easy to see that , we obtain
[TABLE]
where is a positive constant number. Inserting (2.147) and (2.149) in (2.146), then using (2.134), (2.141) and the fact that , we deduce that
[TABLE]
Since and , we have
[TABLE]
consequently, from (2.150), we get (2.143). Thus, the proof of the lemma is complete.
Lemma 2.22**.**
Let , we have
[TABLE]
Proof. First, multiplying Equation (2.136) by in to get
[TABLE]
Using the fact that in , in , and are bounded in , we get
[TABLE]
and
[TABLE]
Inserting (2.153) and (2.154) in (2.152), we get
[TABLE]
Next, multiplying Equation (2.138) by in , then using the fact that , we get
[TABLE]
Using the fact that in , in , are bounded in , and (2.140), we get
[TABLE]
and
[TABLE]
Substituting (2.157) and (2.158) in (2.156), we get
[TABLE]
Finally, adding (2.155) and (2.159), we get (2.151), which concludes the proof of the lemma.
For all , from Lemma 2.21, we obtain . Let us suppose that
[TABLE]
then from Lemma 2.21, we get . Therefore, from Lemma 2.22, we get
[TABLE]
Consequently, we have which contradicts (2.133). So, in order to complete the proof of Theorems 2.18, 2.19, we need to show that
[TABLE]
For this aim, we need to prove the following lemmas.
Lemma 2.23**.**
Let , we have
[TABLE]
such that
[TABLE]
and
[TABLE]
where
[TABLE]
and
[TABLE]
Proof. Let , then Equations (2.136) and (2.138) can be written as
[TABLE]
where
[TABLE]
By the variation of constant formula, the solution of Equation (2.164) is given by
[TABLE]
Then, we have
[TABLE]
Equivalently, we get
[TABLE]
On the other hand, from (2.142) and (2.143), we have
[TABLE]
The eigenvalues of the matrix are the roots of the characteristic equation (2.48) whose discriminant is equal to
[TABLE]
Since , Equation (2.48) has four distinct pure imaginary roots
[TABLE]
where and are defined in (2.163). Since the eigenvalues of are simple, then is a diagonalizable matrix. Therefore, using Sylvester’s matrix Theorem, we get
[TABLE]
where . Equivalently, we have
[TABLE]
where
[TABLE]
It is easy to check that
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Inserting and in (2.167), we get
[TABLE]
such that
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Finally, substituting (2.166) and (2.168) in (2.165), we obtain
[TABLE]
and
[TABLE]
Consequently, we get (2.160)-(2.161), ending the proof of the lemma.
Lemma 2.24**.**
Assume that , we have the following two cases:
Case 1. If there exist no integers such that , then
[TABLE]
Case 2. If there exists such that , then
[TABLE]
Proof. Assume that , then from (2.163), we get
[TABLE]
Using the asymptotic expansion in (2.171), we get
[TABLE]
Inserting (2.172) in (2.162), then for all using the asymptotic expansion, we obtain
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Moreover, we have
[TABLE]
Using by parts integration, we get
[TABLE]
From (2.134) and (2.172), we get
[TABLE]
Substituting (2.134), (2.175) and (2.178) in (2.177), we get
[TABLE]
In the same way, we can check that
[TABLE]
Inserting (2.173)-(2.176) and (2.179)-(2.180) in (2.160)-(2.161), then using the fact that , we get
[TABLE]
where
[TABLE]
We distinguish two cases:
Case 1. If there exist no integers such that , then
[TABLE]
therefore from (2.181) and (2.182), we get
[TABLE]
Hence, from (2.183) and using the fact that , we get (2.169).
Case 2. Assume that , we divide the proof into two cases: Case 2.1, if and Case 2.2 if . Since the argument of two cases is entirely similar, we will only provide one of them.
Assume that , then
[TABLE]
consequently, from (2.181) and (2.182), we get
[TABLE]
Adding (2.184) and (2.185), we get
[TABLE]
Hence, from (2.185) and (2.186), we get (2.170)
Lemma 2.25**.**
Assume that , let , for almost all real number , we have
[TABLE]
Proof. Assume that , then from (2.163), we get
[TABLE]
Using the asymptotic expansion in (2.188), we get
[TABLE]
Inserting (2.189) in (2.162), then for all using the asymptotic expansion, we obtain
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Substituting (2.189)-(2.193) in (2.160)-(2.161), then using the fact that and , we get
[TABLE]
and
[TABLE]
Adding (2.194) and (2.195), we get
[TABLE]
Let , from (2.133), (2.142) and (2.151), we get Our aim is to show that suppose that there exist two positive constant numbers such that , then from (2.195) and (2.196), we get
[TABLE]
It follows from Equation (2.197), there exists such that
[TABLE]
Subtracting (2.198) from (2.199), we get
[TABLE]
Equivalently, we have
[TABLE]
From (2.199), we get
[TABLE]
Inserting (2.201) in (2.200), we get
[TABLE]
From Theorem 1.10 in [26], we have for almost all real numbers there exists infinitely many integers such that
[TABLE]
Let , then from (2.202) and (2.203) there exist infinitely many integers such that
[TABLE]
Equivalently, we have
[TABLE]
Since for a positive constant, then the estimate (2.204) can be written as
[TABLE]
Consequently, we have
[TABLE]
which is impossible. Therefore, we get , which concludes the proof of the lemma. We now turn to the proof of Theorem 2.18.
**Proof of Theorem **2.18. We divide the proof in two steps:
Step1. The energy decay estimation. We distinguish two cases:
Case 1. If there exist no integers such that , let , then from (2.142), (2.143) and (2.169), we get
[TABLE]
Inserting (2.205) in (2.151), we get
[TABLE]
then which contradicts (2.133). This implies that
[TABLE]
Case 2. If there exists such that , let , then from (2.142), (2.143) and (2.170), we get
[TABLE]
Inserting (2.206) in (2.151), we get
[TABLE]
then which contradicts (2.133). This implies that
[TABLE]
Step 2. The optimality. For the optimality of (2.131), let and set
[TABLE]
For , let
[TABLE]
where and are the simple eigenvalues of . Moreover, let be the normalized eigenfunction corresponding to . We introduce the following sequence
[TABLE]
Therefore, we have
[TABLE]
From Proposition 2.16, we get
[TABLE]
where are non zero real numbers. Hence
[TABLE]
where . Thus, we deduce
[TABLE]
Finally, thanks to Theorem 2.17, we cannot expect the energy decay rate . Therefore, estimate (2.131) is optimal.
**Proof of Theorem **2.19. For almost all real numbers , from (2.142), (2.143) and (2.187), we have
[TABLE]
Inserting (2.207) in (2.151), we get
[TABLE]
then which contradicts (2.133). This implies that
[TABLE]
The result follows from Theorem 2.17.
3. Exact controllability of the Timoshenko system
In this section, we study the indirect boundary exact controllability of the Timoshenko System (1.1) with the boundary conditions (1.4). This system defined in takes the following
[TABLE]
in addition to the following initial conditions
[TABLE]
The control is applied only on the right boundary of the first equation. The second equation is indirectly controlled by means of the coupling between the equations.
For a given and initial data belonging to a suitable space, the aim of this section is to find a suitable control such that the solution of the System (3.1), given by , is driven to zero in time ; i.e.,
[TABLE]
3.1. Spectral compensation for homogeneous Timoshenko system
The aim of this section is to compute the eigenvalues and the eigenvectors associated to the homogeneous Timoshenko system. For this aim, we consider the homogeneous Timoshenko system
[TABLE]
with the following initial conditions
[TABLE]
where and are strictly positive constants.
The energy of System (3.2) is given by
[TABLE]
a direct computation gives
[TABLE]
Thus, the energy of the solution is conserved. Let us define the energy space by
[TABLE]
with the inner product defined by
[TABLE]
for all We use to denote the corresponding norm.
We define the linear unbounded operator in by
[TABLE]
and
[TABLE]
Therefore, we can write the System (3.2) as an evolution equation on the Hilbert space :
[TABLE]
where
One clearly that is a maximal dissipative operator on , then by Lumer Philips’s Theorem (see Theorem 4.3 in [60]), is the infinitesimal generator of a -semigroup of contractions on Therefore, the problem (3.2) is well-posed and we have the following result.
Theorem 3.1**.**
For any the problem (3.4) admits a unique strong solution
[TABLE]
Moreover, if , then the System (3.4) admits a unique weak solution
[TABLE]
In addition, we have
[TABLE]
Since is a closed operator with a compact resolvent, its spectrum consists entirely of isolated eigenvalues with finite multiplicities (see Theorem 6.29 in [38]). Moreover, it is easy to check that .
We will now study the spectrum of the system study the spectrum of the System (3.2). Let be an eigenvalue of the operator and a corresponding eigenvector. Using the fact that we get that Then, the corresponding eigenvalue problem is given by
[TABLE]
For some constants , let
[TABLE]
be a solution of (3.5). It follows that
[TABLE]
which has a non-trivial solution if and only if
[TABLE]
Remark 3.2**.**
The solution of (3.5) is given by , such that
[TABLE]
System (3.9) admits a non zero solution if and only if
[TABLE]
Solving Equation (3.10), we get
[TABLE]
From the boundary conditions (3.5), the System (3.5) has a non-trivial solution if and only if and/or . Taking
[TABLE]
we get
[TABLE]
In this case, the solution of (3.5), , is uniquely written as defined in (3.6).
3.2. Observability and exact controllability under equal speeds wave propagation condition
In this part, assume that the waves propagate with the same speeds; i.e., . In this case, we study exact controllability of a one dimensional Timoshenko System (3.1). For this aim, first, we prove the following Observability theorem.
Theorem 3.3**.**
Assume that , and condition holds. Then, for all solution that solve the Cauchy problem (3.2) there exists a positive constant depending only on such that the following direct inequality holds:
[TABLE]
Moreover, there exists a positive constant depending only on such that the following inverse observability inequalities hold:
Case 1. If there exist no integers such that , then
[TABLE]
Case 2. If there exists such that , then there exists Hilbert space , defined by
[TABLE]
equipped with the following norm
[TABLE]
such that the inverse inverse observability holds:
[TABLE]
where are the eigenfunctions of the operator .
For the proof of Theorem 3.3, we use the spectrum method. For this aim, we need to study the asymptotic behaviour of the spectrum of . We prove the following proposition.
Proposition 3.4**.**
Assume that and condition holds. Then, the eigenvalues of has the following asymptotic behavior
[TABLE]
[TABLE]
with the corresponding eigenfunctions
[TABLE]
[TABLE]
Proof. Assume that , by solving (3.8), we get
[TABLE]
Using the asymptotic expansion in (3.18), we get
[TABLE]
[TABLE]
Using again asymptotic expansion in (3.19)-(3.20), we get (3.14)-(3.15). Next, for setting
[TABLE]
in (3.7), we get the corresponding eigenfunctions (3.16). Similarly for setting
[TABLE]
in (3.7), we get the corresponding eigenfunctions (3.17).
Remark 3.5**.**
If , then from Equation (3.18), we can easily check that the eigenvalues are simple and different from zero. Then, we set the eigenfunctions of the operator as
[TABLE]
From the asymptotic expansions (3.14)-(3.15) and (3.16)-(3.17), we can easily prove that \big{\{}E_{1,n}, E_{2,n}\big{\}}_{n\in\mathbb{Z}^{*}} form a Riesz basis in the energy space We distinguish different types of observability inequalities, while depending on the constants In fact, we are going to see in Proposition 3.6 that if there exist no integers such that then the eigenvalues satisfy a uniform gap condition. In this case, we will apply the usual Ingham’s Theorem (see Theorems 4.3, 9.2 in [41]) in order to get observability inequalities hold in the energy space . In the case where there exists such that then the eigenvalues of the same branch satisfy a uniform gap condition, while on different branches they can be asymptotically close at a rate of order (see Proposition 3.6). Thus, the usual Ingham’s Theorem used in the case is no longer valid, and therefore we will use a general Ingham-type Theorem, which tolerates asymptotically close eigenvalues (see Theorem 9.4 in [41]).
Proposition 3.6**.**
Assume that and condition holds, then there exist two constants depending only on the constants such that
[TABLE]
and
[TABLE]
Moreover, we have the following two cases:
Case 1. If there exist no integers such that then there exists a constant depending only on the constants such that the two branches of eigenvalues of satisfy a uniform gap condition
[TABLE]
Case 2. If there exists such that , then there exist constants depending only on the constants such that for all , for large enough, we have
[TABLE]
and there exist infinitely many integers such that
[TABLE]
Proof. First, from (3.18) and the fact that all the eigenvalues are simple, it follows that (3.21) and (3.22). We now divide the proof into two cases:
Case 1. There exists no integer such that First, from the asymptotic expansions (3.14)-(3.15), we have
[TABLE]
Since there exists no integer such that then there exists , such that
[TABLE]
Therefore, from (3.26), we get (3.23).
Case 2. There exists such that . Again from the asymptotic expansions (3.14)-(3.15), we have
[TABLE]
We distinguish two cases:
If , then there exists such that
[TABLE]
and therefore from (3.27), it follows that (3.24). 2. 2.
If , then from (3.27), we obtain
[TABLE]
Consequently, we get (3.24).
Moreover, if , then from the previous inequality there exists such that (3.25) holds, which concludes the proof of the proposition.
Proposition 3.7**.**
Assume that and condition holds. If there exists such that , then we adjust the branches of eigenvalues into one sequence such that is strictly increasing. If
[TABLE]
then
[TABLE]
We say that is a chain of close exponents relative to of length 2.
Proof. When there exists such that , since the eigenvalues of the same branch satisfy a uniform gap condition, then from (3.28), we deduce that belong to different branches. If belong to the same branch of eigenvalues, then from (3.21), we get
[TABLE]
Thus, we obtain the first assertion of (3.29). Otherwise, if belong to different branches, then using the fact that belong to different branches, then belong to the same branch of eigenvalues. In this case, from (3.21), it follows that
[TABLE]
From (3.28) and (3.30), we get
[TABLE]
Therefore, we obtain the first assertion of (3.29). The same argument verifies the second assertion of (3.29). Thus, the proof of the proposition is complete. From Proposition 3.6, it follows that
[TABLE]
On the other hand, if there exist no integers such that due to the fact that the eigenvalues satisfy a uniform gap condition, then the inverse observability inequality is true in the energy space Otherwise, if there exists integer such that , due to the fact that the eigenvalues can be asymptotically close, then the inverse observability inequality is not true in the energy space For this reason, we define the following weighted spectral space
[TABLE]
Since the System is a Riesz basis in the energy space the space is obviously a Hilbert space equipped with the norm
[TABLE]
We are now ready to prove our observability inequalities results.
Proof of Theorem 3.3. We divide the proof into two main steps.
Our first aim is to prove the direct inequality (3.11). Given any initial data such as
[TABLE]
then the solution of (3.4) can be written as
[TABLE]
Therefore, we have
[TABLE]
where
[TABLE]
Since the eigenvalues of the same branch satisfy a uniform gap condition, applying the usual Ingham’s Theorem (see Theorem 9.2 in [41]), we get
[TABLE]
On the other hand, from (3.33), we get
[TABLE]
Inserting (3.34) in (3.35) and using (3.31), we get
[TABLE]
Hence, we get the inequality (3.11).
Our next aim is to prove the inverse observability inequalities. We divide the proof into two cases:
Case 1. There exists no integer such that Given any initial data such as
[TABLE]
then the solution of (3.4) can be written as
[TABLE]
Therefore, we have
[TABLE]
From (3.31), we can rewrite (3.36) as
[TABLE]
Following a generalization of Ingham’s Theorem (see Theorem 9.2 in [41]), the sequence forms a Riesz basis in provided that , where is the upper density of the sequence defined as
[TABLE]
where denotes the largest number of terms of the sequence contained in an interval of length To be more precise, Therefore,
[TABLE]
Hence, we get (3.12).
Case 2. There exists such that . Given any initial data such as
[TABLE]
consequently, the solution of (3.4) can be written as
[TABLE]
Therefore, we have
[TABLE]
We now arrange the two branches of eigenvalues into one sequence such that the sequence is strictly increasing. From Proposition 3.7, all the chain of close exponents relative to is of length 2. Moreover, we denote by the coefficient before or in (3.37). Let and be defined as
[TABLE]
Then, we can rewrite (3.37) as
[TABLE]
where denotes the divided difference of the chain of close exponents relative to
[TABLE]
It follows from Theorem 9.4 in [41], that the sequence
[TABLE]
forms a Riesz sequence in provided that Thus, we have
[TABLE]
On the other hand, from (3.25), we get
[TABLE]
Inserting (3.39) into (3.38) and returning to the previous notations, we get
[TABLE]
Therefore, we have
[TABLE]
Inserting (3.31) in (3.40), we get
[TABLE]
Consequently, we obtain the inequality (3.13). Thus, the proof of the theorem is complete.
Remark 3.8**.**
It is very important to ask the question about the optimality of the observability inequality (3.13). In our opinion, from inequity (3.25), we may find a dense subspace of such that
[TABLE]
for all .
In the case where there exist no integers such that the inverse observability inequality is true in the energy space Otherwise, in the case where there exists such that , the inverse observability inequality holds in weighted spectral space . The aim of this part is to get the observability or exact controllability in usual functional spaces.
Observability inequality in usual spaces. For the observability inequality, we first recall Theorem 3.1 stated in [49].
Theorem 3.9**.**
Let and be Riesz basis of Hilbert spaces and respectively, and and be Bessel sequences of and with suitably small bounds respectively. Define
[TABLE]
Then, we have
Using the asymptotic expansions (3.16)-(3.17), we have
[TABLE]
with
[TABLE]
and
[TABLE]
For any we define the space
[TABLE]
According to Theorem 3.9, we can state the following result.
Corollary 3.10**.**
Assume that , and condition holds. Then, we have the following identifications
[TABLE]
Proof. We see that and are Riesz basis in . On the other hand, we have and are Bessel sequences in . Then, (3.41) follows directly from Theorem 3.9.
Furthermore, for any we define
[TABLE]
Thus, with the pivot space we have
[TABLE]
Then, it follows that
[TABLE]
Consequently, we have the following observability result.
Theorem 3.11**.**
Assume that , and condition holds. Let , then there exists a constant such that the following direct inequality holds:
[TABLE]
for all solution that solve the homogeneous Cauchy problem (3.2). Moreover, there exists a constant , such that the following inverse observability inequality holds:
[TABLE]
Remark 3.12**.**
Assume that , if , then the two branches of eigenvalues are close in the order . Due to the closeness of the eigenvalues, the observability space losses two derivatives. Consequently, the observability holds in the space of type
[TABLE]
Moreover, the control space are of type
[TABLE]
with suitable boundary conditions.
Exact controllability in usual spaces. In this part, using HUM mrthod, we establish exact controllability result for the System (3.1). Our main result in this part is the following theorem.
Theorem 3.13**.**
Assume that , , and condition holds:
Case 1. There exists no integer such that . Let
[TABLE]
then there exists such that the solution of the System (3.1) satisfies the null final conditions
[TABLE]
Case 2. There exists such that . Let
[TABLE]
then there exists such that the solution of the System (3.1) satisfies the null final conditions
[TABLE]
For the proof of Theorem 3.13, first, we will prove that the System (3.1) admits a unique solution. For this aim, let be a solution of (3.2) and let . After multiplying first and second equation of (3.1) by and , respectively, and integrating their sum over (where ), we get
[TABLE]
We introduce the linear form by
[TABLE]
From (3.42), we obtain a weak formulation of the System (3.1)
[TABLE]
Theorem 3.14**.**
Assume that , , and condition holds. Then, for all initial data and for all , the System (3.1) admits a unique weak solution
[TABLE]
in the sense that the variational equation (3.43) is satisfied for all on the interval Moreover, the linear mapping is continuous from
[TABLE]
Proof. For every fixed , using the direct observability inequality (3.11), we deduce that
[TABLE]
where . Hence, the linear form is bounded on . Furthermore, it follows from Theorem 3.1 that the linear map
[TABLE]
is an isomorphism from onto itself. Therefore, the linear form
[TABLE]
is also bounded on Using Riesz representation Theorem, for each there exists a unique element , with is a solution of
[TABLE]
putting
[TABLE]
From (3.44), we deduce that satisfy the problem (3.43) for all . In addition, for all , we have
[TABLE]
which implies the continuity of the linear mapping, which concludes the proof of the theorem. We now turn to the proof of Theorem 3.13.
Proof of Theorem 3.13. Assume that , , and condition holds. We divide the proof into two cases: Case 1, if (for all ), Case 2 if . Since the argument of two cases is entirely similar, we will only provide one of them.
Suppose that . Let and be the solution of the problem (3.2). Thanks to the inverse inequality (3.13), we can define a norm on by
[TABLE]
We denote by the completion of by this norm. It is clear that is a Hilbert space. Thanks to the direct and the inverse observability inequalities, we have the following continuous and dense embeddings
[TABLE]
By choosing the control , we will solve the backward problem (3.46)
[TABLE]
Using Theorem 3.14, the backward problem (3.46) admits a unique weak solution
[TABLE]
We define the operator:
[TABLE]
From (3.43) and (3.46), it follows that
[TABLE]
where denotes the scalar product associated with the norm . Therefore, we have
[TABLE]
Since is dense in , the mapping can be extended to a continuous mapping from into . In particular, we have
[TABLE]
and
[TABLE]
Therefore, the bilinear form
[TABLE]
is continuous and coercive on . Thanks to the Lax-Milgram Theorem, we deduce that is an isomorphism from onto . In particular, for all , there exists a unique element such that
[TABLE]
According to the uniqueness of the solution of the problem (3.46), we get
[TABLE]
Thus, the proof of the theorem is complete.
3.3. Observability and exact controllability when the speeds of propagation are different
In this part, we study the exact controllability of a one dimensional Timoshenko System (3.1) in the case when the speeds of propagation are different; i.e, . Similar to subsection 3.2, we use the spectrum method. For this aim, we need to study the asymptotic behavior of the spectrum of . We prove the following proposition.
Proposition 3.15**.**
Assume that and condition holds. Then, the eigenvalues of asymptotic behavior
[TABLE]
with the corresponding eigenfunctions
[TABLE]
Proof. First, by solving (3.8) and using the fact that , we get
[TABLE]
Using the asymptotic expansion in (3.55), we get
[TABLE]
Using again asymptotic expansion in (3.56)-(3.57), we get (3.51)-(3.52). Next, for setting
[TABLE]
in (3.7), we get the corresponding eigenfunctions (3.53). Similarly for setting
[TABLE]
in (3.7), we get the corresponding eigenfunctions (3.54).
Remark 3.16**.**
If , then from Equation (3.55), we can easily check that the eigenvalues are simple and different from zero. Then, we set the eigenfunctions of the operator as
[TABLE]
In fact, using the asymptotic expansions (3.51)-(3.52) and (3.53)-(3.54), we can easily prove that form a Riesz basis in the energy space
Remark 3.17**.**
Similar to subsection 3.2, the eigenvalues of the same branch satisfy a uniform gap condition, but the eigenvalues of different branches can be asymptotically close at rate depends on the parameters (see Proposition 3.18). Again in this subsection we will use a general Ingham-sort Theorem.
Proposition 3.18**.**
Assume that and condition holds. Then, there exists a constant depending only on such that
[TABLE]
Moreover, there exist constants depending only on and such that
1. If is a rational number different from for all integers then for all , for large enough, we have
[TABLE]
and there exist infinitely many integers , such that
[TABLE]
2. If for some integers , then for all , for large enough, we have
[TABLE]
and there exist infinitely many integers , such that
[TABLE]
3. For almost all positive irrational number and all , for large enough, we have
[TABLE]
and there exist infinitely many integers , such that
[TABLE]
Proof. The assertion (3.58) follows directly from the asymptotic expansions (3.55) and the fact that all the eigenvalues are geometrically simple. Using the asymptotic expansions (3.51)-(3.52), we have
[TABLE]
If then the estimates (3.59), (3.61) and (3.63) are trivial. Otherwise, if
[TABLE]
then and (3.65) becomes
[TABLE]
Therefore, it is sufficient to consider the leading term in (3.66).
1. Let be a reduced rational number. Then, is a root of the integer polynomial of second degree. Since for all integers then the integer polynomial is irreducible. This means that is a quadratic algebraic number. Thanks to the Liouville’s Theorem on the approximation of algebraic numbers (see Theorem 1.2 in [26]), there exists a constant , depending only on , such that for all , we have
[TABLE]
On the other hand, since is an irrational number, using the Dirichlet’s classic Theorem on number theory (see Theorem 1.1 in [26]), there exist infinitely many integers such that
[TABLE]
Therefore, we get the estimates (3.59)-(3.60).
2. Let be a reduced rational number. We return to (3.65), we get
[TABLE]
If or for all , then from (3.67), we get
[TABLE]
Otherwise, if and , then from (3.51)-(3.52), we deduce that
[TABLE]
On the other hand, by taking and and using the asymptotic expansions (3.51)-(3.52), we easily get that
[TABLE]
Therefore, we get the estimates (3.61)-(3.62).
3. Let . Firstly, from Khintchine’s Theorem on Diophantine approximation (see Theorem 1.10 in [26]), for almost all irrational number , there exist only finitely many integers such that
[TABLE]
It follows from (3.66), that for almost all irrational number , there exists a constant and , large enough, such that, for all , , we have
[TABLE]
This gives the estimate (3.63). Secondly, from Khintchine’s Theorem on Diophantine approximation (see Theorem 1.10 in [26]) for almost all irrational real number , there exist infinitely many integers , such that
[TABLE]
Therefore, we get the estimate (3.64), which concludes the proof of the proposition.
Similar to Proposition 3.7, we can prove the following proposition.
Proposition 3.19**.**
Assume that and condition holds. We rearrange the two branches of eigenvalues into one sequence such that is strictly increasing. If
[TABLE]
then
[TABLE]
Note that is called a chain of close exponents relative to of length 2.
From Proposition 3.15, it follows that
[TABLE]
Similar to 3.2, we define the following weighted spectral spaces
[TABLE]
and
[TABLE]
The factor in (3.72) will be omitted for Since the System is a Riesz basis in the energy space we get that the spaces and are obviously a Hilbert space equipped respectively with the norm
[TABLE]
In fact, to get the observability we need to use a weaker norm for the second equation in order that has the same order as . For this reason we multiplied the eigenvector by in the spaces and .
We are now ready to prove our observability inequalities results.
Theorem 3.20**.**
Assume that and condition holds, let
[TABLE]
Then, for all solution that solve the problem (3.2) there exists a constant such that the following direct inequality holds:
[TABLE]
Moreover, there exists a constant depending only on and such that the following inverse observability inequalities hold:
Case 1. If is a rational, then
[TABLE]
Case 2. For almost all irrational number , we have
[TABLE]
Proof. Similar to subsection 3.2, we can prove the direct inequality (3.73).
Our next aim is to prove the inverse observability inequalities:
Case 1. Let be a rational. Given any initial data such as
[TABLE]
using the Riesz property the solution of (3.2) can be written as
[TABLE]
Hence, we have
[TABLE]
We now rearrange the two branches of eigenvalues into one sequence such that the sequence is strictly increasing. From Proposition 3.19, it follows that all chain of close exponents relative to is of length 2. Then, let denotes the set of integers such that the condition (3.68) holds true and let
[TABLE]
We denote by the coefficient before or in (3.76). We can rewrite it into
[TABLE]
where denotes the divided difference of the chain of exponents relative to
[TABLE]
From Theorem 9.4 in [41], the sequence forms a Riesz sequence in provided that Thus, it follows that
[TABLE]
The assertions (3.59) and (3.61) of Proposition 3.18, imply that
[TABLE]
Inserting (3.78) into (3.77) and returning to the previous notations, we get
[TABLE]
Hence, we get
[TABLE]
Then, by inserting (3.70) into (3.79), we get
[TABLE]
Therefore, we get the inequality (3.74).
Case 2. For almost all irrational number . Given any initial data such as
[TABLE]
then the solution of (3.2) can be written as
[TABLE]
Therefore, we have
[TABLE]
Similar to case 1, we get
[TABLE]
where denoted the coefficient before or in (3.76). Using (3.63) of Proposition 3.18, we get
[TABLE]
Inserting (3.82) in (3.81), we get
[TABLE]
Therefore, we have
[TABLE]
Then, by inserting (3.70) into (3.83), we get
[TABLE]
Hence, we get the inequality (3.74). Thus, the proof of the theorem is complete.
Remark 3.21**.**
It is very important to ask the question about the optimality of the observability inequality (3.74). In our opinion, from inequalities (3.60) and (3.62), we may find a dense subspace of such that
[TABLE]
for all .
The weighted spectral spaces and are defined by means of the eigenvectors and with weights. Our aim is to get the observability or exact controllability in usual functional spaces. For this aim, let
[TABLE]
with
[TABLE]
For any we define the spaces
[TABLE]
and
[TABLE]
Corollary 3.22**.**
Assume that and condition holds. Then, we have
[TABLE]
and
[TABLE]
Proof. We see that and are Riesz basis in , respectively and are Bessel sequences in . Then, (3.84) follows directly from Theorem 3.9. The assertion (3.85) can be obtained in the same way.
Furthermore, for any we define the spaces
[TABLE]
and
[TABLE]
Thus, with the pivot space we have
[TABLE]
Then, it follows that
[TABLE]
and
[TABLE]
Remark 3.23**.**
Assume that and condition holds. In the case 1, since the two branches of eigenvalues are close in the order of then the observability space of the first equation losses one derivative because of the closeness of eigenvalues, while that of the second equation losses two derivatives due to the closeness of eigenvalues and the transmission of the modes between the two equations. Therefore, the observability holds in the space of type
[TABLE]
Moreover, the control space are of type
[TABLE]
with suitable boundary conditions.
It is interesting to notice that the observability of the System (3.2) suggests the exact controllability of the System (3.1) (see Theorems 3.14, 3.13 and in [32, 43, 42, 44, 41, 40]). Then, from Theorem 3.20, we get the following result.
Theorem 3.24**.**
Assume that and condition holds. Let
[TABLE]
Case 1. If be a rational, let
[TABLE]
then there exists such that the solution of System (3.1) satisfies the null final conditions
[TABLE]
Case 2. For almost all irrational number . Let
[TABLE]
then there exists such that the solution of the System (3.1) satisfies the null final conditions
[TABLE]
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