Abstract
We investigate the longitudinal and transversal vibrations of the viscoelastic beam with nonlinear tension and nonlinear delay term under the general decay rate for relaxation function. The existence theorem is proved by the Faedo–Galerkin method and using suitable Lyapunov functional to establish the general decay result.
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1 Introduction
Consider the following viscoelastic nonlinear beam in two-dimensional space:
with homogeneous boundary conditions
and initial conditions
where x and t denotes the space variable along the beam of length L and the time variable, respectively, w(x, t) and v(x, t) are the displacements in the transverse and longitudinal directions of the beam at the position x for time t, subscripts mean partial derivatives. \(\rho \), D, \(E_{I},\) \(T_{0}\) and \(E_{A}\) are the uniform mass per unit length of the beam, the Kelvin–Voigt damping coefficient, bending stiffness, the tension and the stiffness of the beam, respectively. \(\mu _{1}\) and \(\mu _{2}\) are two positive real numbers, \(g_{1}\) and \(g_{2}\) are two functions, \(\tau \) is a time delay, and f is history function, \(h*w_{xx}\) is the viscoelastic damping term defined by
which describes the relationship between the stress and the strain from the Boltzmann Principle [6, 8]. The relaxation function h represents the kernel of the memory term.
The term \(g_{2}\left( v_{t}(t-\tau )\right) \) represents distributed delay term. Time delay is the property of a physical system by which the response to an applied force is delayed in its effect [31]. The presence of the delay can become a source of instability. For example, the authors in [27, 28, 30] proved that the system is unstable under the condition \(\mu _{1}<\mu _{2},\) but otherwise the system is stable.
In recent years, energy decay in viscoelastic systems has become an important research title, while the behaviour of the relaxation function influences the energy decay rate. These behaviour of the relaxation function are generalized by the following extended class of kernels, namely,
where H satisfying some additional conditions imposed. We refer to previous studies [9, 12,13,14, 16,17,18, 32] that proved a general energy decay rate.
For a system with delay term and viscoelastic damping, It is important to mention that the authors in [1, 15, 19, 22, 24] established the existence of solutions and general decay rates under the assumption \(\mu _{1}>\mu _{2}\).
In the absence of a delay, damping term (\(\mu _{1}=\mu _{2}=0\)) and the relaxation function satisfies
where \(\gamma \) is a positive constant. Lekdim et al. [20] investigated the problem (1)–(3),with the following boundary conditions
They established an exponential stability under a suitable boundary control U(t).
Motivated by the previous works, in this work we consider (1)–(3) in which we generalize the results obtained in [20], without boundary control. By expanding the class of relaxation functions into which the existence and unconditional stability are established.
The rest of our paper is organized as follows. In Sect. 2, we present some notations, assumptions and technical lemmas which will be needed later. In Sect. 3, we establish the existence and uniqueness results. The general decay rate is provided in Sect. 4.
2 Hypothesis and preliminary results
In this section, we give some notations, hypotheses and lemmas necessary to prove our results.
Notation. Let \(L^{2}(0,L)\) be the Hilbert space with the inner product \(\left( \cdot ,\cdot \right) \) and norms \(\left\| \cdot \right\| \).
We introduce the Hilbert spaces
As in [29], we introduce the new dependent variable
which satisfies
The problem (1)–(3) is equivalent to
with boundary conditions (2).
Hypothesis on memory kernels, the damping and the delay functions
As in [1, 25], we make the following hypotheses on the kernel functions :
- (H1):
-
\(h \in \mathcal {C}^{2}(\mathbb {R}_{+},\mathbb {R}_{+})\) is differentiable function satisfying
$$\begin{aligned} h(0)>0,\qquad 1-\int _{0}^{\infty }h(s)ds=1-\bar{h}>0. \end{aligned}$$(8) - (H2):
-
There exists a \(\mathcal {C}^1\) function \(H:\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}\) witch is linear or strictly increasing and strictly convex \(\mathcal {C}^2\) function on \((0, \epsilon ], \ \epsilon <1\), with \(H(0)=H^{\prime }(0)=0\), such that
$$\begin{aligned} h^{\prime }(t) \le -H(h(t)), \qquad \forall t \ge 0. \end{aligned}$$(9)
For the weight of the delay, following [4, 10], we assume that
- (H3):
-
\(g_{1}\in \mathcal {C} (\mathbb {R},\mathbb {R})\) is nondecreasing function, such that there exist \(\epsilon ,\) \(c_{1},\) \(c_{2}>0\), such that
$$\begin{aligned} \left\{ \begin{array}{lll} c_{1}\left| s\right| \le \left| g_{1}\left( s\right) \right| \le c_{2}\left| s\right| &{} \mathrm {if} &{} \left| s\right| \ge \epsilon , \\ s^{2}+g_{1}^{2}\left( s\right) \le H^{-1}\left( sg_{1}\left( s\right) \right) &{} \mathrm {if} &{} \left| s\right| \le \epsilon . \end{array} \right. \end{aligned}$$(10) - (H4):
-
Let \(g_{2}\in \mathcal {C}^{1}(\mathbb {R},\mathbb {R})\) odd nondecreasing function, such that there exist \(c_{3},\) \(a_{1},\) \(a_{2}>0\) with
$$\begin{aligned} \left| g_{2}^{\prime }\left( s\right) \right|\le & {} c_{3} \end{aligned}$$(11)$$\begin{aligned} a_{1}sg_{2}\left( s\right)\le & {} G(s)\le a_{2}sg_{1}\left( s\right) , \end{aligned}$$(12)where \(G(s)=\int _{0}^{s}g_{2}(r)dr\) and
$$\begin{aligned} a_{2}\mu _{2}<a_{1}\mu _{1}. \end{aligned}$$(13)
Remark 1
(see [26]) By (H1), we have \(\lim _{s \rightarrow +\infty } h(s)=0\) and assume that \(\lim _{s \rightarrow +\infty } h'(s)=0\). This implies that there exists \(t_0>0\) large enough such that
where \(H_0(t)=H(D(t))\) provided that D is a positive \(\mathcal {C}^1\) function, \(D (0) = 0\), for which \(H_0\) is strictly increasing and strictly convex \(\mathcal {C}^2\) function on \((0,\epsilon ]\) and
By the nonincreasing of h, we get
the continuity and positivity of H imply that
for some positive constants a and b. Then there exists \(\gamma >0\) such that
We define the energy functional of problem (1)–(3) by
where \(\xi \) is a positive constant such that
and
Lemma 1
Let (w, v, z) be a solution of the problem (7), then, for \(t\ge 0\), the time derivative of E(t) can be upper bounded by
where \(\eta _{1}=\mu _{1}-a_{2}\frac{\xi }{\tau }-a_{2}\mu _{2}\) and \(\eta _{2}=a_{1}\frac{\xi }{\tau }-\mu _{2}\left( 1-a_{1}\right) .\)
Proof
Taking the inner product in \(L^{2}(0,L)\) of the first equation of (7) with \(w_{t}\), the second equation with \(v_{t},\) , then integrating by parts, we obtain
The second term of the right hand side of the above equality gives
By multiplying the third equation of (7) by \(\xi g_{2}\left( z(x,p,t)\right) \) then integrating over \(\left( 0,L\right) \times \left( 0,1\right) ,\) we find
Combining (21)–(23), using the fact that \(z(0,t)=v_{t}(t)\) and assumption (H4), we get
The conjugate function \(G^{*}\) of the differentiable convex function G (see [7], pp. 9), i.e.
On the other hand \(G^{*}\) is the Legendre transform of G. We refer to ( [2], pp. 61-62), that is given by
which satisfies the generalized Young inequality :
By the definition of G, we obtain
Applying (26) with \(s=g_{2}\left( z(1,t)\right) \) and \(t=v_{t}(t)\), from the last term of (24), we obtain
The equality (27) and assumption (H4) imply that
Combining (28) and (29), we have (20). \(\square \)
Remark 2
The Lemma 1 imply that E(t) nonincreasing, moreover
The following lemmas will be used frequently in the sequel
Lemma 2
([11]) Let \(u\in C^{1}(\left[ 0,L\right] ) \) satisfying \( u(0,t)=0\). Then the following inequality hold:
where \(\left\| .\right\| _{\infty }\) is the norm of \(L^{\infty }(\left[ 0,L\right] ).\)
Lemma 3
([23]) If w is a solution of problem (1)–(3), assuming that h satisfies (H1) and (H2). then we have
where \(\left( h\diamond u\right) (t) =\int \nolimits _{0}^{t}h(t-s)\left( u(s)-u(t)\right) ds.\)
3 Well possedness
The main aim of this section is to prove the following existence and uniqueness theorem:
Theorem 1
Let \(\left( w_{0},v_{0},z_{0}\right) \in W\times V\times Z \) and \(\left( w_{1},v_{1}\right) \in H_{0}^{2}\left( 0,L\right) \times H_{0}^{1}\left( 0,L\right) \). Assumee that (H1)–(H4) hold and satisfy
Then the system (1)–(3) has a unique solution \( \left( w,v,z\right) \) in the sense that
Proof
We employ the Faedo–Galerkin technique to construct a solution.
Approximate solutions: Let \(\left( w_{i},v_{i},z_{i}\right) _{i\le m}\) be a complete orthogonal system of \(W\times V\times Z.\) For each \( m\in \mathbb {N},\) let \(W_{1}^{m}=span\left\{ w_{1},w_{2},\ldots ,w_{m}\right\} ,\) \( W_{2}^{m}=span\left\{ v_{1},v_{2},\ldots ,v_{m}\right\} \) and \( W_{3}^{m}=span\left\{ z_{1},z_{2},\ldots ,z_{m}\right\} ,\) such as the sequence \(z_{i}(x,p)\) defined by \(z_{i}(x,0)=v_{i}(x),\) we prolong \( z_{i}(x,0)\) in Z by \(z_{i}(x,p)\). For \(w(0),w_{t}(0)\in W_{1}^{m},\) \(v(0),v_{t}(0)\in W_{2}^{m}\) and \(z(p,0,s)\in W_{3}^{m}\), searching for functions \(w^{m}(x,t)=\sum _{i=1}^{m}k_{i}^{1}(t)w_{i}(x),\) \( v^{m}(x,t)=\sum _{i=1}^{m}k_{i}^{2}(t)v_{i}(x)\) and \(z^{m}(x,t,p)= \sum _{i=1}^{m}k_{i}^{3}(t)z_{i}(x,p),\) that satisfy the following equations
and
for all \(\left( \varphi ,\phi ,\psi \right) \in H_{0}^{2}\left( 0,L\right) \times H_{0}^{1}\left( 0,L\right) \times L^{2}\left( \left( 0,L\right) \times \left( 0,1\right) \right) ,\) with the initial conditions
A Priori Estimates
Throughout this part, \(B_{i},i=1,2,\ldots ,\) denote positive constants independent of m and \(t\in \left[ 0,T\right] .\)
Estimate 1: Let \(E_{m}\) the energy defined by (19), for the solutions \(w^{m},\) \(v^{m}\) and \(z^{m}.\) By utilizing the same steps used in the proof of Lemma 1, we find
where \(\eta _{1}\), \(\eta _{2}\) positive constants.
Estimate 2: Firstly, we estimate \(\left\| w_{tt}^{m}(0)\right\| ^{2},\) \( \left\| v_{tt}^{m}(0)\right\| ^{2}\) and \(\left\| z_{t}^{m}(0)\right\| ^{2}\).
Fixed \(t=0\) and taking \(\varphi =w_{tt}^{m}(0),\) \(\phi =v_{tt}^{m}(0)\) and \(\psi =z_{t}^{m}(0)\) in (34), (35) and (36), respectively, then integrate them by parts and apply Young’s inequality. From the assumptions (H3), (H4) and the initial data are sufficiently smooth, we can be infer that
Now, we estimate \(\left\| w_{tt}^{m}\right\| ^{2},\) \( \left\| v_{tt}^{m}\right\| ^{2}\) and \(\left\| z_{t}^{m}\right\| ^{2}\).
Let us fix t, \(\zeta >0\) such that \(\zeta <T-t\). Taking the difference of (34), (35) and (36) with \(t=t+\zeta \) and \( t=t\), and simultaneously replacing \(\varphi ,\) \(\phi \) and \(\psi \) with \( w_{t}^{m}(t+\zeta )-w_{t}^{m}(t),\) \(v_{t}^{m}(t+\zeta )-v_{t}^{m}(t)\) and \( \left( z^{m}(p,t+\zeta )-z^{m}(p,t)\right) \), respectively. Then gather the two first relations and integrating the last relation over (0, 1) , we get
and
where
and
Taking the first estimate, Young, Poincaré’s inequalities and Lemma 2 into account, we can estimate \(F_1\) and \(F_2\) as follows :
Combining (39)–(42), then dividing both sides by \(\zeta ^{2}\) and taking the limit as \(\zeta \rightarrow 0\), we get
On the other hand, we have
and
Integrating (43) over \(\left( 0,t\right) ,\) taking (37), (44)–(46) under consideration and noting that the initial data are sufficiently smooth. By Gronwall’s lemma, we conclude
Passage to the limit
The estimate (37) and (38) permits to deduce
Therefore, there exists subsequences of \(\left( w^{m}\right) ,\) \(\left( v^{m}\right) \) and \(\left( z^{m}\right) \), still denoted by \(\left( w^{m}\right) ,\) \(\left( v^{m}\right) \) and \(\left( z^{m}\right) ,\) respectively, such that
Analysis of the nonlinear terms
By Aubin-Lions compactness (see [3]), we conclude from (49), that
therefore
Lemma 4
([5]) We have the convergence \(g_{1}\left( v_{t}^{m}\right) \rightarrow g_{1}\left( v_{t}\right) \) and \(g_{2}\left( z^{m}\right) \rightarrow g_{2}\left( z\right) \) in \(L^{1}\left( \left[ 0,T \right] \times \left[ 0,L\right] \right) .\) Hence,
From (50) Lions Lemma ([21], pp. 12), we concluded that \(\varGamma =\left( v_{x}+\frac{1}{2}\left( w_{x}\right) ^{2}\right) \) and
Now, we can pass to the limit in the approximate problem (34)–(35) to get a weak solution of the problem (1)–(3), (see [21, 33]).
Uniqueness The uniqueness can be proved by following the same procedures as in estimation 2. \(\square \)
4 Asymptotic behavior
The prove of energy decay relies heavily on the construction of Lyapunov functional and exploitation of convex analysis. For this intent, we start by constructing a Lyapunov functional :
where \(\beta _{1}, \ \beta _{2}\) and \(\beta _{3}\) are positive constants, E(t) is given by (19) and
It is our aim to prove that functional \(\mathcal {L}(t)\) satisfies an estimates. To pass this estimate to E(t), we will need the following proposition.
Proposition 1
Let \(\mathcal {L}(t)\) and E(t) be the functional defined by (54) and (19), respectively. Then, for \(\beta _{1}\) \(\beta _{2}\) and \(\beta _{3}\) small enough, we have
where \(\alpha _{1}\) and \(\alpha _{2}\) are positive constants.
Proof
By Young’s inequality, we have
Obviously,
then using Holder’s inequality, Lemma 2 and inequality (30), we have
where \(A_{1}=4E(0)/\sqrt{T_{0}\left( E_{I}\left( 1-\bar{h}\right) \right) }.\)
Substituting (60) into (59), we obtain
For \(\varPsi \), by Young’s inequality and Lemma 3, we get
For \(\chi \), from the decay of the function \(e^{-2\tau p},\) we have
By combining (61), (62) and (63), we deduce that
where \(\lambda =\max \left( \frac{\beta _{1}}{2}+\beta _{2},\beta _{1},\frac{ D}{2E_{I}\left( 1-\bar{h}\right) }\beta _{1},\frac{\left( 1+A_{1}\right) \rho L^{2}}{2T_{0}}\beta _{1},\frac{2\rho L^{2}}{E_{A}}\beta _{1},\frac{L^{4}\rho \bar{h}}{E_{I}}\beta _{2}\right) .\)
We take \(\beta _{1},\) \(\beta _{2}\) and \(\beta _{3}\) small, so that \(\lambda + \frac{\beta _{3}}{\xi }<1,\) this complete proof. \(\square \)
Lemma 5
Let \(\varPhi (t)\) be the functional given by (55), then, for \(t\ge 0\),
Proof
Differentiating \(\varPhi (t)\) and using the equations (1), we obtain
where
Using integrating \(J_{1}\) by parts twice and the boundary conditions (2), we get
add and subtract the term \(\frac{E_{I}}{2}\left( \left( \int _{0}^{t}h(s)ds\right) w_{xx},w_{xx}\right) \) in the above equality then using Young’s inequality and Lemma 3, we have
Integrating by parts the terms \(J_{2}\) and \(J_{3}\), we find
By Young’s inequality, Poincaré’s inequality, inequality (60) and assumption (H4), we infer for \(\theta _{1}>0\)
where \(A_{\mu }=\left( \mu _{1}+\mu _{2}\right) L^{2}.\)
Now, Substituting (66)–(69) into (65) and taking \(\theta = \frac{\left( 1-\bar{h}\right) }{2},\) we have (64). \(\square \)
Lemma 6
Let \(\varPsi (t)\) be the functional given by (56), then, for \(t\ge 0\),
where \(\theta _{i},\) \(i=2,3,4.\) are positive constants and
Proof
Substituting the first equation in (1) into the derivative of \(\varPsi (t)\), we obtain
where
Let’s estimate these terms, for \(K_{1}\) similarly to (62), we get
For \(K_{2}\) and \(K_{3}\), using integrating by parts twice, Young’s inequality and Lemma 3, we obtain
Integrating \(K_{4}\) by parts, applying Young’s inequality, Holder’s inequality and Lemma 3,we get
Combining (71)–(75), we obtain (70). \(\square \)
Lemma 7
Let \(\chi (t)\) be the functional given by (55), then, for \(t\ge 0\)
Proof
Take derivative of \(\chi (t)\) with respect to t, using the identity (62) and integrating by parts, we obtain
In view of the hypotheses (H3) and the above equality, we have (70). \(\square \)
Theorem 2
For the system dynamics described by (1)–(3), under assumptions (H1)–(H4), given that \(\left( w_{0},v_{0},z_{0}\right) \in W\times V\times Z\) and \(\left( w_{1},v_{1}\right) \in H_{0}^{2}\left( 0,L\right) \times H_{0}^{1}\left( 0,L\right) ,\) where
Then, there exist strictly positive constants \(\omega _{1},\) \(\omega _{2},\) \(\omega _{3}\) and \( \varepsilon \) such that
where
and
Proof
Using the results (20), (64), (70) and (76), for all \(t\ge t_{0}>0\), we obtain
where \(h_{0}=\int _{0}^{t_{0}}h(t)dt.\)
Right now, we do select our parameters very carefully. First pick \(\theta _{2}\le h_{0}\), after that take \(\theta _{i},i=1,3,4.,\) \(\beta _{1}, \) \(\beta _{2}\) and \(\beta _{3}\) sufficiently small so that
Thus, (80) becomes
where \(A_{3}\) and \(A_{4}\) are two positive constants.
To complete the proof, we partition the interval \(\left[ 0,L\right] \) into
From (H3), we estimate that
where \(A_5=\left( 1 / c_{1}+c_{2}\right) / \eta _{1}\).
For the estimate of the last term in the right hand side of (82) on \( L^{<},\) we distinguish two cases
- Case 1 ::
-
H is linear. From the assumption(H3), we deduce that there exists \(c_{4},\) such that \( s^{2}+g_{1}^{2}\left( s\right) \le c_{4}sg_{1}\left( s\right) \) in \(\left[ -\epsilon ,\epsilon \right] ,\) and therefore
$$\begin{aligned} \int _{L^{<}}\left( v_{t}^{2}+g_{1}^{2}\left( v_{t}\right) \right) dx\le c_{4}\int _{L^{<}}v_{t}g_{1}\left( v_{t}\right) dx\le -A_6E^{\prime }(t) \end{aligned}$$(84)and the assumption (H2) gives
$$\begin{aligned} \int _{0}^{t} h(s) \int _{\varOmega }|w_{xx}(t)-w_{xx} u(t-s)|^{2} d x d s \le -A_6 E^{\prime }(t). \end{aligned}$$(85)Combining (82)–(84), we obtain
$$\begin{aligned} \left( \mathcal {L}(t)+\sigma E(t)\right) ^{\prime }\le -A_{3}H_{2}\left( E(t)\right) . \end{aligned}$$(86)where \(\sigma =A_{4}\left( A_5+2A_6\right) .\)
- Case 2::
-
H is nonlinear. First, we deduce from (18) and (20) that
$$\begin{aligned} \int _{0}^{t_{0}}h(s)\left\| w_{xx}(t)-w_{xx}(t-s)\right\| ^{2}ds \le&\frac{-1}{\gamma }\int _{0}^{t_{0}}h^{\prime }(s)\left\| w_{xx}(t){-}w_{xx}(t{-}s)\right\| ^{2}ds \nonumber \\ \le&-\frac{2}{\gamma E_I}E^{\prime }(t). \end{aligned}$$(87)Next, we define the functions \(\kappa _{p}\) and \(\kappa \) by
$$\begin{aligned} \kappa _{p}(t)= & {} p\int _{t_0}^{t}\frac{h(s)}{H_{0}^{-1}\left( -h^{\prime }(s)\right) }\Vert w_{xx}(t)-w_{xx}(t-s)\Vert ^{2}ds \end{aligned}$$(88)$$\begin{aligned} \kappa (t)= & {} -\int _{t_0}^{t}h^{\prime }(s)\frac{h(s)}{H_{0}^{-1}\left( -h^{\prime }(s)\right) }\Vert w_{xx}(t)-w_{xx}(t-s)\Vert ^{2}ds, \end{aligned}$$(89)where \(1/p>\frac{8 E(0)}{E_I(1-\bar{h})} \int _{0}^{+\infty } \frac{h(s)}{H_{0}^{-1}\left( -h^{\prime }(s)\right) } d s\) and \(H_0 \) is defined in (14), we find that \(\kappa _{p}(t)<1,\) for all \(t\ge 0.\)
The properties of the functions \(H_0\), D and h gives
for some positive constant \(\kappa _0.\)
We can easily verify that
We have, by the convexity property of \(H_0\) and \(H_0(0)=0\) that
By assumption (H2), identity (91) and Jensen’s inequality, we get
this is equivalent to
We can assume that \(\epsilon \) is small enough such that \(s g_{1}(s) \le \frac{1}{2} \min \left\{ \epsilon , H(\epsilon ), H_{0}(\epsilon )\right\} \) for all \(|s| \le \epsilon \). With (H3) and reversed Jensen’s inequality for concave function and the concavity of \(H^{-1},\) we obtain
where \(\vartheta (t)=\frac{1}{L}\int _{L^{<}}v_{t}g_{1}\left( v_{t}\right) dx.\)
The inequalities (82), (83), (87), (92) and (93), gives
Since \(H_0^{-1}(t){=}D^{-1}(H^{-1}(t))\), \(D^{-1}(H^{-1}(0)=D^{-1}(0)){=}0\) and \(H^{-1}(\kappa (t)){\le } \epsilon \). Moreover, the function \(D^{-1}(H^{-1}(t))\) is concave, so its graph is below its tangent, that \(H_0^{-1}(\kappa (t))\le cH^{-1}(\kappa (t))\). Therefore, for all \(t{\ge } t_{0}\),
Take into account \(E^{\prime }(t)\le 0,\) \(H^{\prime }(t)>0,\) \(H^{\prime \prime }(t)>0,\) and using the inequality (94), for \(\varepsilon <\epsilon E(0)\), we infer
Let \(H^{*}\) by the convex conjugate of H, given by (25), then the increasing of the functions \((H^{\prime })^{-1}\), H and the fact that \(H(0)=0,\) yield
Applying inequalities (26) and (96) to the second term of the right hand side of (95), we obtain
combining (95) and (97), we have
Let us define
From (86) and (98), we conclude
Since \(\mathcal {L}(t)\) and E(t) are equivalent and \(0\le H^{\prime }(\varepsilon E(t))\le H^{\prime }(\varepsilon E(0)).\) So, there exist \( \tilde{\alpha }_{1}\) and \(\tilde{\alpha }_{2}\) two positive constants such that
Now we put \(\mathcal {L}_{\alpha }(t)=\alpha \tilde{\mathcal {L}}(t)\) for \( \alpha \le 1/\tilde{\alpha }_{2},\) using the fact that \(H_{2}\) is increasing, we obtain
Taking into consideration that \(H_{1}^{\prime }=-1/H_{2},\) the above inequalities become
integrate this differential inequality over \((t_{0},t)\), we obtain
Choosing \(\alpha \) small enough such that \(H_{1}(\mathcal {L}_{\alpha }(t_{0}))-\alpha \tilde{C}t_{0}>0.\) The decay of \(H_{1}^{-1},\) yields
finally, the equivalence of \(\mathcal {L}(t),\) \(\tilde{\mathcal {L}}(t),\) \( \mathcal {L}_{\alpha }(t)\) and \(E\left( t\right) ,\) result
One can easily find a similar estimate over the interval \([0,t_0]\), by using decreasing of E and \(H_{1}^{-1}\). This completes the proof. \(\square \)
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The authors would like to thank the anonymous referees for their valuable comments and suggestions. and express their gratitude to DGRSDT for the financial support.
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Lekdim, B., Khemmoudj, A. Existence and general decay of solution for nonlinear viscoelastic two-dimensional beam with a nonlinear delay. Ricerche mat 73, 261–282 (2024). https://doi.org/10.1007/s11587-021-00598-w
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DOI: https://doi.org/10.1007/s11587-021-00598-w