This manuscript is devoted to investigate a class of multi terms delay fractional order impulsive differential equations. Our investigation includes existence theory along with Ulam type stability. By using classical fixed point theorems, we establish sufficient conditions for existence and uniqueness of solution to the proposed problem. We develop some appropriate conditions for different kinds of Ulam-Hyers stability results by using tools of nonlinear functional analysis. We demonstrate our results by an example.
Citation: Amjad Ali, Kamal Shah, Dildar Ahmad, Ghaus Ur Rahman, Nabil Mlaiki, Thabet Abdeljawad. Study of multi term delay fractional order impulsive differential equation using fixed point approach[J]. AIMS Mathematics, 2022, 7(7): 11551-11580. doi: 10.3934/math.2022644
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This manuscript is devoted to investigate a class of multi terms delay fractional order impulsive differential equations. Our investigation includes existence theory along with Ulam type stability. By using classical fixed point theorems, we establish sufficient conditions for existence and uniqueness of solution to the proposed problem. We develop some appropriate conditions for different kinds of Ulam-Hyers stability results by using tools of nonlinear functional analysis. We demonstrate our results by an example.
The wave equation with internal and boundary damping, along with a source term, is described by the system:
{ωtt−Δω+ψ1(ωt)=F1(ω)onΩ×R+,ω=0onΓ0×R+,∂ωt∂η+ψ2(ωt)=F2(ω)onΓ1×R+,ω(x,0)=ω0(x),ωt(x,0)=ω1(x)inΩ. | (1.1) |
In this problem, the functions F1 and F2 are nonlinear source terms on the domain Ω⊆Rn and the boundary ∂Ω=Γ0∪Γ1, respectively, where Γ0 and Γ1 are closed and disjoint and meas.(Γ0)>0. The vector η is the unit outer normal to ∂Ω. The functions ω0 and ω1 are given data. The functions ψ1 is a nonlinear damping acting on the domain Ω, while ψ2 is a nonlinear damping acting on the boundary ∂Ω.
The study of the existence, blow-up, and stability of solutions to wave equations has been extensively explored in previous research. For example, Lasiecka and Tataru [1] studied the following semilinear model of the wave equation with nonlinear boundary conditions and nonlinear boundary velocity feedback:
{ωtt=Δω−χ0(ω),inΩ×R+,∂ω∂ν=−˜χ(ωt|Γ1)−χ1(ω|Γ1),onΓ1×R+,ω=0,onΓ0×R+,ω(x,0)=ω0(x),ωt(x,0)=ω1(x)inΩ. | (1.2) |
Assuming that the velocity boundary feedback is dissipative and the other nonlinear terms are conservative, uniform decay rates for the solutions are derived. Georgiev and Todorova [2] studied system (1.1) with ψ1(ωt)=|ωt|ϑ−2ωt, ψ2(ωt)=F2(ω)=0 and F1(ω)=|ω|q−2ω, proving global existence for q≤ϑ and a blow-up result when q>ϑ. Levine and Serrin [3] expanded on this by investigating the case of negative energy with ϑ>1. Rivera and Andrade [4] examined a nonlinear wave equation with viscoelastic boundary conditions, showing the existence and uniform decay under certain initial data restrictions. Santos [5] focused on a one-dimensional wave equation with viscoelastic boundary feedback, demonstrating that under specific assumptions on g′ and g′′, sufficient dissipation leads to exponential or polynomial decay if the relaxation function follows the same pattern. Vitillaro [6] explored system (1.1) with ψ1(ωt)=F1(ω)=0 and ψ2(ωt)=|ωt|ϑ−2ωt and F2(ω)=|ω|q−2u, establishing local and global existence under appropriate conditions on the initial data and exponents. Cavalcanti et al. [7] studied the following problem
{utt−Δω+∫t0g(t−s)Δω(s)ds=0,inΩ×R+,ω=0,onΓ1×R+,∂ωt∂ν−∫t0g(t−s)∂ωt∂ν(s)ds+ψ(ωt)=0,onΓ0×R+, | (1.3) |
where ψ:R→R is a nondecreasing C1 function such that
ψ(s)s>0,for alls≠0 |
and there exist Ci>0,i=1,2,3,4, such that
{C1|s|p≤|ψ(s)|≤C2|s|1p,if|s|≤1,C3|s|≤|ψ(s)|≤C4|s|,if|s|>1, | (1.4) |
where p≥1. They proved global existence of both strong and weak solutions, along with uniform decay rates, under restrictive conditions on the damping function ψ and the kernel g. After that, Cavalcanti et al. [8] relaxed these conditions on ψ and g, demonstrating uniform stability based on their behavior. Al-Gharabli et al. [9] extended this work by considering a large class of relaxation functions and establishing general and optimal decay results. Messaoudi and Mustafa [10] focused on system (1.3), exploring more general relaxation functions, and achieved a general decay result without assuming growth conditions on ψ, with the results depending on both g and ψ. Cavalcanti and Guesmia [11] analyzed the following hyperbolic problem involving memory terms
{ωtt−Δω+F(x,t,∇ω)=0,inΩ×R+,ω=0,onΓ0,ω+∫t0g(t−s)∂ω∂μ(s)ds=0,onΓ1×R+, | (1.5) |
showing that under certain conditions, the memory term dissipation is sufficient to ensure system stability. Specifically, they demonstrated that if the relaxation function decays exponentially or polynomially, the solution follows the same decay rate.
Liu and Yu [12] investigated the following viscoelastic equation with nonlinear boundary damping and source terms
{ωtt−Δω+∫t0g(t−s)Δω(s)ds=0,inΩ×R+,ω=0,onΓ1×R+,∂ω∂ν−∫t0g(t−s)∂ω∂ν(s)ds+|ωt|m−2=|ω|p−2ω,onΓ0×R+, | (1.6) |
proving global existence and general decay of energy under suitable assumptions on the relaxation function and the initial data. Al-Mahdi et al. [13] extended this work by considering system (1.1) with modified terms: F1(u)=0, F2(ω)=|ω|q(x)−2ω, ψ1(ωt) is replaced by ∫t0g(t−s)Δω(s)ds, ψ2(ωt) is replaced by ∫t0g(t−s)∂ω∂nds+|ωt|ϑ(x)−2ωt, proving global existence and establishing general and optimal decay estimates under specific conditions on the relaxation function and variable exponents ϑ(x) and q(x). They also provided numerical tests to validate their theoretical decay results.
Zhang and Huang [14] studied a nonlinear Kirchhoff equation described by the system:
{ωtt−M(||∇ω||2)Δω+αωt+χ(ω)=0onΩ×R+,ω=0onΓ1×R+,∂ω∂η+ψ(ωt)=0onΓ0×R+,ω(x,0)=ω0(x),ωt(x,0)=ω1(x)inΩ, | (1.7) |
where Ω is a bounded domain of Rn with a smooth boundary ∂Ω=Γ0∪Γ1, and α is a positive real constant. The functions M(s),χ(ω),ψ(ωt) are satisfy some conditions, while η represents the unit outward normal vector. Using the Galerkin approximation, Zhang and Huang established the global existence and uniqueness of the solution. They also addressed challenges posed by the nonlinear terms M(s) and ψ(ωt) through a transformation to zero initial data and employed compactness, monotonicity, and perturbed energy method to resolve the problem. Zhang and Ouyang [15] examined a viscoelastic wave equation with a memory term, nonlinear damping, and a source term:
{|ωt|ρωtt−Δω+α|ωt|p−2ωt+∫t0g(t−s)Δω(s)ds=|ω|q−2ωonΩ×R+,ω=0onΓ×R+,ω(x,0)=ω0(x),ωt(x,0)=ω1(x)inΩ, | (1.8) |
where Ω is a bounded domain of Rn with a smooth boundary ∂Ω, ρ,α>0, p≥2, q>2, and g(t) is a positive function that represents the kernel of the memory term. Using the potential well method combined with the Galerkin approximation, they demonstrated the existence of global weak solutions. Additionally, under certain conditions on the damping coefficient and the relaxation function, they established the optimal decay of solutions via the perturbed energy method. They further showed that the solution can blow up for both positive and negative initial energy conditions.
For further results on wave equations, see the works of Aassila [16], Wang and Chen [17], Zuazua [18], Soufyane et al. [19], Zhang et al. [20].
There has been increasing interest among researchers in replacing constant exponents with variable exponents, driven by their practical applications [21] and related references. Variable exponents are commonly used in mathematical models and equations, particularly in damping terms, to better represent a system's diverse behaviors or properties. Damping, which helps dissipate energy and regulate a system's response to external forces, can be more accurately modeled using variable exponents. This allows for a more flexible representation of damping effects tailored to the specific characteristics of the system in question.
Inspired by these studies and the significance of mathematical models involving nonlinear damping and/or source terms with variable exponents, we consider problem (1.1) with ψ1(ωt)=ψ(ωt), F1(ω)=0 and ψ2(ωt)=|ωt|ϑ(x)−2ωt, and F2(ω)=|ω|θ(x)−2ω.
More precisely, we consider the following nonlinear wave equation with internal and boundary damping, along with a source term of variable exponent type:
{ωtt−Δω+ψ(ωt)=0onΩ×R+,ω=0onΓ0×R+,∂ω∂η+|ωt|ϑ(x)−2ωt=|ω|θ(x)−2ωonΓ1×R+,ω(x,0)=ω0(x),ωt(x,0)=ω1(x)inΩ. | (1.9) |
We aim to study the global existence and stability of solutions to problem (1.9). We investigate the interaction between the internal nonlinear frictional damping and the nonlinear boundary damping of variable exponent type. Additionally, we derive general decay rates, including optimal exponential and polynomial decay rates as the special cases.
This paper is organized into five sections. In Section 2, we introduce the notation and necessary background material. In Section 3, we prove the global existence of the solution to the problem. In Sections 4 and 5, we present technical lemmas and decay results, respectively.
In this section, we outline some necessary materials for proving our results. Throughout the paper, we denote a generic positive constant by c. We consider the following assumptions:
(A1) ϑ:Γ1→[1,∞) is a continuous function such that
1<ϑ1≤ϑ(x)≤ϑ2<q:={2(n−1)n−2,n>2;∞,n=1,2, |
where
ϑ1:=essinfx∈Γ1ϑ(x),ϑ2:=esssupx∈Γ1ϑ(x). |
(A2) θ:Γ1→[1,∞) is a continuous function such that
1<θ1≤θ(x)≤ϑ2<q:={2(n−1)n−2, n > 2 ;∞, n = 1, 2 , |
where
θ1:=essinfx∈Γ1θ(x),θ2:=esssupx∈Γ1θ(x). |
Moreover, the variable functions ϑ(x) and θ(x) satisfy the log-Hölder continuity condition.
For more details about the Lebesgue and Sobolev spaces with variable exponents (see [22,23,24]).
(A3) ψ:R→R is a C0 nondecreasing function satisfying, for c1,c2>0,
s2+ψ2(s)|≤Ψ−1(sψ(s))for all|s|≤r,c1|s|≤|ψ(s)|≤c2|s|for all|s|≥r, |
where Ψ:(0,∞)→(0,∞) is C1 function which is a linear or strictly increasing and strictly convex C2 function on (0,r] with Ψ(0)=Ψ′(0)=0.
Remark 2.1. Condition (A3) was introduced for the first time in 1993 by Lasiecka and Tataru [1]. Examples of such functions satisfying Condition (A3) are the following:
(1) If ψ(s)=csq and q≥1, then Ψ(s)=csq+12 satisfies (A3).
(2) If ψ(s)=e−1s, then (A3) is satisfied for Ψ(s)=√s2e−√2s near zero.
We define the energy functional E(t) associated to system (1.9) as follows:
E(t):=12[‖ωt‖22+‖∇ω‖22]−∫Γ11θ(x)|ω|θ(x)dx. | (2.1) |
Lemma 2.1. The energy functional E(t) satisfies
ddtE(t)=−∫Γ1|ωt|ϑ(x)dx−∫Ωωtψ(ωt)dx≤0. | (2.2) |
Proof. Multiplying (1.9)1 by ωt integrating over the interval Ω, we have
∫Ωωωtt−∫ΩωtΔωdx+∫Ωωtψ(ωt)dx=0. |
Using integration by parts, we obtain
∫Ωωωtt+∫Ω∇ωt.∇ωdx−∫Γ1ωt∂ωt∂ηdx+∫Ωωtψ(ωt)dx=0. |
Now, using (1.9)3, and doing some modifications, we get
ddt(12∫Ωω2tdx+12∫Ω|∇ω|2dx−∫Γ11θ(x)|ω|θ(x)dx)=−∫Γ1|ωt|ϑ(x)dx−∫Ωωtψ(ωt)dx, |
which gives (2.2).
For completeness, we present the following existence result, which can be established using the Faedo-Galerkin method and the Banach fixed point theorem, similar to the approaches taken in [2,25,26] for analogous problems.
Theorem 2.1. (Local existence) Given (ω0,ω1)∈H1Γ0(Ω)×L2(Ω) and assume that (A1)−(A3) hold. Then, there exists T>0, such that problem (1.9) has a weak solution
ω∈L∞((0,T),H1Γ0(Ω))∩Lθ(.)(Γ1×(0,T)),ωt∈L∞((0,T),L2(Ω))∩Lϑ(.)(Γ1×(0,T)). |
In this section, we state and prove a global existence result under smallness conditions on the initial data (ω0,ω1). For this purpose, we define the following functionals:
J(t)=12‖∇ω‖22−1θ1∫Γ1|ωt|θ(x)dx | (3.1) |
and
I(t)=I(ω(t))=‖∇ω‖22−∫Γ1|ωt|θ(x)dx. | (3.2) |
Clearly, we have
E(t)≥J(t)+12‖ωt‖22. | (3.3) |
Lemma 3.1. Suppose that (A1)−(A3) hold and (ω0,ω1)∈H1Γ0(Ω)×L2(Ω), such that
cθ2eEθ2−22(0)+cθ2eEθ1−22(0)<1,I(ω0)>0, | (3.4) |
then
I(ω(t))>0,∀t>0. |
Proof. Since I is continuous and I(ω0)>0, then there exists Tm<T such that
I(ω(t))≥0, ∀t∈[0,Tm]; |
which gives
J(t)=1θ1I(t)+θ1−22θ1‖∇ω‖22≥θ1−22θ1‖∇ω‖22. | (3.5) |
Now,
‖∇ω‖22≤2θ1θ1−2J(t)≤2θ1θ1−2E(t)≤2θ1θ1−2E(0). | (3.6) |
Using Young's and Poincaré's inequalities and the trace theorem, we get ∀t∈[0,Tm],
∫Γ1|ω|θ(x)dx=∫Γ+1|ω|θ(x)dx+∫Γ−1|ω|θ(x)dx≤∫Γ+1|ω|θ2dx+∫Γ−1|ω|θ1dx≤∫Γ1|ω|θ2dx+∫Γ1|ω|θ1dx≤cθ2e‖∇ω‖θ22+cθ1e‖∇ω‖θ12≤(cθ2e‖∇ω‖θ2−22+cθ1e‖∇ω‖θ1−22)‖∇ω‖22<‖∇ω‖22, | (3.7) |
where
Γ−1={x∈Γ1:|ω(x,t)|<1}andΓ+1={x∈Γ1:|ω(x,t)|≥1}. |
Therefore,
I(t)=‖∇ω‖22−∫Γ1|ω|θ(x)>0. |
Proposition 3.1. Suppose that (A1)−(A3) hold. Let (ω0,ω1)∈H1Γ0(Ω)×L2(Ω) be given, satisfying (3.4). Then, the solution of (1.9) is global and bounded.
Proof. It suffices to show that ‖∇ω‖22+‖ωt‖22 is bounded independently of t. To achieve this, we use (2.2), (3.2) and (3.5) to get
E(0)≥E(t)=J(t)+12‖ωt‖22≥θ1−22θ1‖∇ω‖22+12‖ωt‖22+1θ1I(t)≥θ1−22θ1‖∇ω‖22+12‖ωt‖22. | (3.8) |
Since I(t) is positive, Therefore
‖∇ω‖22+‖ωt‖22≤CE(0), |
where C is a positive constant, which depends only on θ1 and the proof is completed.
Remark 3.1. Using (3.6), we have
‖∇ω‖22≤2θ1θ1−2E(0). | (3.9) |
In this section, we present and prove several essential lemmas for demonstrating the main results.
Lemma 4.1. The functional defined by
Δ(t)=∫Ωωωtdx | (4.1) |
satisfies, along the solutions of (1.9),
Δ′(t)≤−12∫Ω|∇ω|2dx+∫Ω|ω|θ(x)dx+c∫Ωω2tdx+c∫Ωψ2(ωt)dx+c∫Γ1|ωt|ϑ(x)dΓ+c∫Γ∗|ωt|2ϑ(x)−2dΓ, | (4.2) |
where Γ∗={x∈Γ1:ϑ(x)<2}.
Proof.
Δ′(t)=∫Ωω2tdx+∫ΩωΔωdx−∫Ωωψ(ωt)=∫Ωω2tdx−∫Ω|∇ω|2dx+∫Γ1ω∂ω∂ηdΓ−∫Ωωψ(ωt)=∫Ωω2tdx−∫Ω|∇ω|2dx−∫Γ1ω|ωt|ϑ(x)−2ωtdΓ+∫Γ1ω|ω|θ(x)−2ωdΓ−∫Ωωψ(ωt). | (4.3) |
The use of Young's and Poincaré's inequalities and choosing ε1=14cp give
−∫Ωωψ(ωt)dx≤ε1∫Ωω2dx+14ε1∫Ωψ2(ωt)dx≤cpε1∫Ω|∇ω|2dx+14ε1∫Ωψ2(ωt)dx≤14∫Ω|∇ω|2dx+cp∫Ωψ2(ωt)dx. | (4.4) |
Define the following partition of Γ1:
Γ∗={x∈Γ1:ϑ(x)<2},Γ∗∗={x∈Γ1:ϑ(x)≥2}. |
Now, using Young's and Poincaré's inequalities, we obtain
∫Γ∗ω|ωt|ϑ(x)−2ωtdΓ≤λcp||∇ω||22+14λ∫Γ∗|ωt|2ϑ(x)−2dΓ, | (4.5) |
choosing λ=18cp, then we have
∫Γ∗ω|ωt|ϑ(x)−2ωtdΓ≤18||∇ω||22+c∫Γ∗|ωt|2ϑ(x)−2dΓ. | (4.6) |
Using Young's inequality with p(x)=ϑ(x)ϑ(x)−1 and p′(x)=ϑ(x) so, for all x∈Ω, we have
|ωt|ϑ(x)−2ωtω≤ε2|ωt|ϑ(x)+Cε2(x)|ωt|ϑ(x), |
where
Cε2(x)=ε1−ϑ(x)2(ϑ(x))−ϑ(x)(ϑ(x)−1)ϑ(x)−1. |
Hence, Young's inequality gives
∫Γ∗∗ω|ωt|ϑ(x)−2ωtdΓ≤ε2∫Γ∗∗|ω|ϑ(x)dΓ+∫Γ∗∗Cε2(x)|ωt|ϑ(x)dΓ≤cε2(1+(2θ1θ1−2E(0))ϑ2−22)||∇ω||22+∫Γ∗∗Cε2(x)|ωt|ϑ(x)dΓ. | (4.7) |
Choosing ε2=18c(1+(2θ1θ1−2E(0))ϑ2−22), then Cε2(x) is bounded and noting that Γ∗∗⊂Γ1, then we have
∫Γ∗∗ω|ωt|ϑ(x)−2ωtdΓ≤18||∇ω||22+c∫Γ1|ωt|ϑ(x)dΓ. | (4.8) |
By combining the above estimates, the proof is completed.
Lemma 4.2. Let us introduce perturbed energy functional as follows:
M(t)=NE(t)+Δ(t) |
satisfies, for all t≥0 and for a positive constant N,
M′(t)≤−cE(t)−cE′(t)+c∫Ω(ω2t+ψ2(ωt))dx+c∫Γ∗|ωt|2ϑ(x)−2dΓ. | (4.9) |
Proof. We establish the proof by means of perturbed energy method. Taking the derivative of M with respect to t, and using the estimates in (4.2), and (2.2), we obtain
M′(t)≤−N∫Γ1|ωt|ϑ(x)dx−N∫Ωωtψ(ωt)dx−12∫Ω|∇ω|2dx+∫Ω|ω|θ(x)dx+c∫Ωω2tdx+c∫Ωψ2(ωt)dx+c∫Γ1|ωt|ϑ(x)dΓ+c∫Γ∗|ωt|2ϑ(x)−2dΓ. | (4.10) |
Choosing N large enough such that M∼E, and recalling (2.2), therefore the proof of (4.9) is completed.
Lemma 4.3. If 1<ϑ1<2, then the following estimate holds:
∫Γ∗|ωt|2ϑ(x)−2dΓ≤cE(t)−cE′(t)(E(t))2−ϑ12ϑ1−2−cE′(t). | (4.11) |
Proof. First, we define the following partition:
Γ∗1={x∈Γ∗:|ωt(t)|≤1},Γ∗2={x∈Γ∗:|ωt(t)|>1}, |
and use the fact that 2ϑ(x)−2ϑ(x)≥2ϑ1−2ϑ1, and Jensen's inequality to obtain
∫Γ∗|ωt|2ϑ(x)−2dΓ=∫Γ∗1|ωt|2ϑ(x)−2dΓ+∫Γ∗2|ωt|2ϑ(x)−2dΓ=∫Γ∗1[|ωt|ϑ(x)]2ϑ(x)−2ϑ(x)dΓ+∫Γ∗2|ωt|ϑ(x)+ϑ(x)−2dΓ≤c∫Γ∗1[|ωt|ϑ(x)]2ϑ1−2ϑ1dΓ+c∫Γ∗2|ωt|ϑ(x)dΓ≤c[−E′(t)]2ϑ1−2ϑ1−cE′(t). | (4.12) |
Using Young's inequality, we find that
[−E′(t)]2ϑ1−2ϑ1=(E(t))2−ϑ12ϑ1−2[−E′(t)]2ϑ1−2ϑ1(E(t))2−ϑ12ϑ1−2≤ε(E(t))ϑ12ϑ1−2−CεE′(t)(E(t))2−ϑ12ϑ1−2=εE(t)−CεE′(t)(E(t))2−ϑ12ϑ1−2. | (4.13) |
Choosing ε small enough, the proof of (4.11) is completed.
Remark 4.1. If ϑ1≥2 and since meas(Γ∗)=0 then
∫Γ∗|ωt|2ϑ(x)−2dΓ=0. | (4.14) |
Lemma 4.4. Under assumption (A3), the following estimates hold:
∫Ωωtψ(ωt)dx≤−cE′(t),if ψ is linear, | (4.15) |
∫Ωωtψ(ωt)dx≤cΨ−1(Λ(t))−cE′(t),if ψ is nonlinear, | (4.16) |
where Λ(t) is defined in the proof.
Proof. Case 1: ψ is linear, then
c∫Ω(ω2t+ψ2(ωt))dx≤−cE′(t). |
Case 2: ψ is nonlinear, we define the following partition of Ω
Ω1={x∈Ω:|ωt|≤r},Ω2={x∈Ω:|ωt|≥r}, |
where r is small enough such that
sψ(s)≤min{r,ψ(r)},|s|≤r. |
We also define
Λ(t)= ∫Ω1ωtψ(ωt)dx. |
Now, using hypothesis (A3) and Jensen's inequality, we get
∫Ω1(ω2t+ψ2(ωt))dx≤∫Ω1Ψ−1(ωtψ(ωt))dx≤cΨ−1(Λ). | (4.17) |
In this section, we state and prove the stability result of system (1.9).
Theorem 5.1. Assume that ϑ1≥2 and ψ is linear. Then
E(t)≤κ1e−κ2t, | (5.1) |
for some positive constants κ1 and κ2.
Proof. Combining (4.9), (4.15) with (4.14), we obtain,
M′(t)≤−cE(t)−cE′(t). |
Therefore, M+cE∼E and a simple integration over (0,t) yields, for some κ1,κ2>0,
E(t)≤κ1e−κ2t,t≥0. |
Theorem 5.2. Assume that 1<ϑ1<2 and ψ is linear. Then
E(t)≤c(1+t)−1α, | (5.2) |
where α=2−ϑ12ϑ1−2>0.
Proof. From (4.9), (4.11) and (4.15), we have
M′1(t)≤−cE(t)−cE′(t)(E(t))2−ϑ12ϑ1−2, | (5.3) |
where M1=M+cE∼E. Multiply both sides of (5.13) by (E(t))α where α=2−ϑ12ϑ1−2, to obtain
M′2(t)≤−cEα+1(t), | (5.4) |
where M2=(E(t))αM1+cE∼E. Integrating over (0,t) and using the equivalence relation lead to (5.2).
Theorem 5.3. Assume that ϑ1≥2 and ψ is nonlinear. Then, for some positive constants ϱ1 and ϱ2, we have
E(t)≤Ψ−11(ϱ1t+ϱ2),∀t≥0, | (5.5) |
where Ψ1(t)=∫1t1Ψ2(s)ds and Ψ2(t)=tΨ′(ε0t)
Proof. From (4.9), (4.1) and (4.15), we have
M′(t)≤−cE(t)+cΨ−1(Λ(t)). | (5.6) |
Now, for ε0<r, using the fact that E′≤0, Ψ′>0,Ψ′′>0 on (0,r], we find that the functional ˜M, by
˜M(t):=Ψ′(ε0E(t)E(0))M(t)+c0E(t), |
satisfies, for some α1,α1>0,
α1˜M(t)≤E(t)≤α2˜M(t), | (5.7) |
and
˜M′(t)=ε0E′(t)E(0)Ψ′′(ε0E(t)E(0))M(t)+Ψ′(ε0E(t)E(0))M′(t)+c0E′(t)≤−cE(t)Ψ′(ε0E(t)E(0))+cΨ′(ε0E(t)E(0))Ψ−1(Λ(t))+c0E′(t). | (5.8) |
Let Ψ∗ be the convex conjugate of Ψ in the sense of Young with A=Ψ′(ε0E(t)E(0)) and B=Ψ−1(Λ(t)), we arrive at
˜M′(t)≤−cE(t)Ψ′(ε0E(t)E(0))+cΨ∗(Ψ′(ε0E(t)E(0)))+cΛ(t)+c0E′(t)≤−cE(t)Ψ′(ε0E(t)E(0))+cε0E(t)E(0)Ψ′(ε0E(t)E(0))−cE′(t)+c0E′(t). |
Consequently, with a suitable choice of ε0 and c0, we obtain, for all t≥0,
˜M′(t)≤−cE′(t)E(0)Ψ′(ε0E(t)E(0))=−cΨ2(ε0E(t)E(0)), | (5.9) |
where Ψ2(t)=tΨ′(ε0t). Since Ψ′2(t)=Ψ′(ε0t)+ε0tΨ′′(ε0t), then, using the strict convexity of Ψ on (0,r], we find that Ψ′2(t),Ψ2(t)>0 on (0,1]. Thus, with
Φ(t)=εα1˜M(t)E(0),0<ε<1, |
taking in account (5.7) and (5.9), we have
Φ(t)∼E(t), | (5.10) |
and then
Φ′(t)≤−cΨ2(Φ(t)),∀t≥0. |
Then, a simple integration gives, for some ϱ1,ϱ2>0,
Φ(t)≤Ψ−11(ϱ1t+ϱ2),∀t≥0, | (5.11) |
where Ψ1(t)=∫1t1Ψ2(s)ds. A combination of (5.10) and (5.11) gives (5.5).
Theorem 5.4. Assume that 1<ϑ1<2 and ψ is nonlinear. Then, for some positive constants ϱ3 and ϱ4, we have
E(t)≤χ−11(ϱ3t+ϱ4),∀t≥0, | (5.12) |
where χ1(t)=∫1t1Ψ2(s)ds, χ2(t)=tχ′(ε0t), χ=(G−1+Ψ−1)−1 and G(t)=tϑ12ϑ1−2.
Proof. From (4.9) and (4.13), we have
M′(t)≤−cE(t)+(−E′(t))2ϑ1−2ϑ1+cΨ−1(Λ)(t), | (5.13) |
where M=EαM+cE∼E. Let G(t)=tϑ12ϑ1−2. Then the last inequality can be written as
M′(t)≤−cE(t)+G−1(−E′(t))+cΨ−1(Λ)(t). | (5.14) |
Therefore, (5.14) becomes
M′(t)≤−cE(t)+cχ−1(ξ(t)), | (5.15) |
where χ=(G−1+Ψ−1)−1 and ξ(t)=max{−E′(t),Λ(t)}. Define the following functional
K(t):=χ′(ε0E(t)E(0))M(t)+c0E(t), | (5.16) |
satisfies, for some α2,α3>0,
α2K(t)≤E(t)≤α3K(t). | (5.17) |
Combining (5.15) and (5.16), we obtain
K′(t)≤−cE(t)χ′(ε0E(t)E(0))+χ′(ε0E(t)E(0))χ−1(ξ(t))+c0E′(t). | (5.18) |
Let χ∗ be the convex conjugate of χ in the sense of Young, then
χ∗(s)=s(χ′)−1(s)−χ[(χ′)−1(s)],ifs∈(0,χ′(r)] | (5.19) |
and χ∗ satisfies the following generalized Young inequality
AB≤χ∗(A)+χ(B),ifA∈(0,χ′(r)],B∈(0,r]. | (5.20) |
Thus, with A=χ′(ε0E(t)E(0)) and B=χ−1(ξ(t)), we arrive at
K′(t)≤−cE(t)χ′(ε0E(t)E(0))+cε0E(t)E(0)χ′(ε0E(t)E(0))−cE′(t)+c0E′(t). |
Choosing c0,ε0 small enough, we get
K′(t)≤−cε0E(t)E(0)χ′(ε0E(t)E(0))=−cχ2(ε0E(t)E(0)), |
where χ2(t)=tχ′(ε0t). Letting
Y(t)=εα3K(t)E(0),0<ε<1, |
and taking in account (5.7) and (5.9), we have
Y(t)∼E(t), | (5.21) |
and then
Y′(t)≤−cχ2(Y(t)),∀t≥0. |
Then, a simple integration gives, for some ϱ3,ϱ4>0,
Y(t)≤χ−11(ϱ3t+ϱ4),∀t≥0, | (5.22) |
where χ1(t)=∫1t1χ2(s)ds, which finishes the proof.
Examples 5.1. The following examples illustrate our results:
(1) If ψ(t)=ct and ϑ(x)=2, then
E(t)≤c1e−c2t, | (5.23) |
which is an exponential decay.
(2) If ψ(t)=ct and ϑ(x)=2−34+x, then ϑ1=54 and ϑ2=75, then the energy functional satisfies
E(t)≤c(1+t)−23. | (5.24) |
(3) If ψ(t)=ct2 and ϑ(x)=2+11+x, then ϑ1=52, ϑ2=3 and ψ(t)=ct32. Then,
Ψ1−1(t)=(ct+1)−2. |
Therefore, we obtain
E(t)≤c(1+t)−2. | (5.25) |
(4) If ψ(t)=ct5 and ϑ(x)=2−34+x, then ϑ1=54, ϑ2=75 and ψ(t)=ct3. Then,
χ(s)=(G−1+Ψ−1)−1=(−1+√1+4s2)3 |
and
χ2(s)=3s√1+4s(−1+√1+4s2)2=3s2√1+4s+3s2√1+4s−3s2≤3s2+3s22√s−3s2=cs32. |
Therefore, we obtain
E(t)≤c(1+t)13. |
In this work, we consider a nonlinear wave equation with internal and boundary damping and a source term of variable exponent type. We prove the global existence and stability of solutions to this problem problem. We study the interaction between the internal nonlinear frictional damping and the nonlinear boundary damping of variable exponent type. In addition, we establish general decay rates, including optimal exponential and polynomial decay rates as the special cases.
Adel M. Al-Mahdi: Conceptualization, methodology, formal analysis, writing-original draft; Mohammad M. Al-Gharabli: Formal analysis, validation, writing-reviewing and editing; Mohammad Kafini: Conceptualization, methodology, formal analysis, reviewing. All authors have read and approved the final version of the manuscript for publication.
The authors would like to acknowledge the support provided by King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia. The support provided by the Interdisciplinary Research Center for Construction & Building Materials (IRC-CBM) at King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia, for funding this work through Project (No. INCB2402), is also greatly acknowledged.
This work is funded by KFUPM, Grant No. INCB2402.
The authors declare no competing interests.
[1] | A. A. Kilbas, H. M. Srivastava, J. J. Trujillo, Theory and applications of fractional differential equations, North-Holland Mathematics Studies, Elsevier, 2006. |
[2] |
N. Sene, Fractional model and exact solutions of convection flow of an incompressible viscous fluid under the Newtonian heating and mass diffusion, J. Math., 2022 (2022), 8785197. https://doi.org/10.1155/2022/8785197 doi: 10.1155/2022/8785197
![]() |
[3] |
A. G. Butkovskii, S. S. Postnov, E. A. Postnova, Fractional integro-differerential calculus and its control theoretical applications. I. Mathematical fundamentals and the problem of interpretation, Autom. Remote Control, 74 (2013), 543–574. https://doi.org/10.1134/S0005117913040012 doi: 10.1134/S0005117913040012
![]() |
[4] | K. S. Miller, B. Ross, An introduction to the fractional calculus and fractional differential equations, New York: Wiley, 1993. |
[5] | R. Hilfer, Applications of fractional calculus in physics, Singapore: World Scientific, 2000. https://doi.org/10.1142/3779 |
[6] |
P. Chen, X. Zhang, Y. Li, A blowup alternative result for fractional nonautonomous evolution equation of volterra type, Commun. Pure Appl. Anal., 17 (2018), 1975–1992. http://dx.doi.org/10.3934/cpaa.2018094 doi: 10.3934/cpaa.2018094
![]() |
[7] |
K. S. Miller, Derivatives of noninteger order, Math. Magazine, 68 (1995), 183–192. https://doi.org/10.1080/0025570X.1995.11996309 doi: 10.1080/0025570X.1995.11996309
![]() |
[8] |
P. J. Torvik, R. L. Bagley, On the appearance of fractional derivatives in the behaviour of real materials, J. Appl. Mech., 51 (1984), 294–298. https://doi.org/10.1115/1.3167615 doi: 10.1115/1.3167615
![]() |
[9] |
F. Wang, Y. Yang, M. Hu, Asymptotic stability of delayed fractional order neural networks with impulsive effects, Neurocomputing, 154 (2015), 239–244. https://doi.org/10.1016/j.neucom.2014.11.068 doi: 10.1016/j.neucom.2014.11.068
![]() |
[10] |
A. Ali, F. Rabiei, K. Shah, On Ulams type stability for a class of impulsive fractional differential equations with nonlinear integral boundary conditions, J. Nonlinear Sci. Appl., 10 (2017), 4760–4775. http://dx.doi.org/10.22436/jnsa.010.09.19 doi: 10.22436/jnsa.010.09.19
![]() |
[11] |
B. Ahmad, M. Alghanmi, A. Alsaedi, R. P. Agarwal, On an impulsive hybrid system of conformable fractional differential equations with boundary conditions, Int. J. Syst. Sci., 51 (2020), 958–970. https://doi.org/10.1080/00207721.2020.1746437 doi: 10.1080/00207721.2020.1746437
![]() |
[12] |
K. Balachandran, S. Kiruthika, J. J. Trujillo, Existence of solution of nonlinear fractional pantograph equations, Acta Math. Sci., 33 (2013), 712–720. https://doi.org/10.1016/S0252-9602(13)60032-6 doi: 10.1016/S0252-9602(13)60032-6
![]() |
[13] |
Z. H. Yu, Variational iteration method for solving the multi-pantograph delay equation, Phys. Lett. A, 372 (2008), 6475–6479. https://doi.org/10.1016/j.physleta.2008.09.013 doi: 10.1016/j.physleta.2008.09.013
![]() |
[14] |
E. Tohidi, A. H. Bhrawy, K. A. Erfani, Collocation method based on Bernoulli operational matrix for numerical solution of generalized pantograph equation, Appl. Math. Model., 37 (2012), 4283–4294. https://doi.org/10.1016/j.apm.2012.09.032 doi: 10.1016/j.apm.2012.09.032
![]() |
[15] | R. Bellman, Stability theory of differential equations, Courier Corporation, 2008. |
[16] | S. M. Ulam, Problems in modern mathematics, New York: Wiley, 1940. |
[17] |
D. H. Hyers, On the stability of the linear functional equations, Proc. Natl. Acad. Sci., 27 (1941), 222–224. https://doi.org/10.1073/pnas.27.4.222 doi: 10.1073/pnas.27.4.222
![]() |
[18] | T. M. Rassias, On the stability of linear mappings in Banach spaces, Proc. Am. Math. Soc., 72 (1978), 297–300. https://www.jstor.org/stable/2042795 |
[19] | S. M. Jung, Hyers-Ulam-Rassias stability of functional equations in nonlinear analysis, New York: Springer, 2011. https://doi.org/10.1007/978-1-4419-9637-4 |
[20] |
Z. Wang, D. Yang, T. Ma, N. Sun, Stability analysis for nonlinear fractional-order systems based on comparison principle, Nonlinear Dyn., 75 (2014), 387–402. https://doi.org/10.1007/s11071-013-1073-7 doi: 10.1007/s11071-013-1073-7
![]() |
[21] |
T. Abdeljawad, F. Madjidi, F. Jarad, N. Sene, On dynamic systems in the frame of singular function dependent kernel fractional derivatives, Mathematics, 7 (2019), 946. https://doi.org/10.3390/math7100946 doi: 10.3390/math7100946
![]() |
[22] |
P. Chen, X. Zhang, Y. Li, Fractional non-autonomous evolution equation with nonlocal conditions, J. Pseudo-Differ. Oper. Appl., 10 (2019), 955–973. https://doi.org/10.1007/s11868-018-0257-9 doi: 10.1007/s11868-018-0257-9
![]() |
[23] |
P. Chen, X. Zhang, Y. Li, Existence and approximate controllability of fractional evolution equations with nonlocal conditions via resolvent operators, Frac. Calc. Appl. Anal., 23 (2020), 268–291. doi.org/10.1016/j.jde.2009.03.004 doi: 10.1016/j.jde.2009.03.004
![]() |
[24] |
A. Khan, T. Abdeljawad, J. F. Gomez-Aguilar, H. Khan, Dynamical study of fractional order mutualism parasitism food web module, Chaos Soliton. Fract., 134 (2020), 109685. https://doi.org/10.1016/j.chaos.2020.109685 doi: 10.1016/j.chaos.2020.109685
![]() |
[25] |
A. Khan, J. F. Gomez-Aguilar, T. Abdeljawad, H. Khan, Stability and numerical simulation of a fractional order plant nectar pollinator model, Alex. Eng. J., 59 (2020), 49–59. https://doi.org/10.1016/j.aej.2019.12.007 doi: 10.1016/j.aej.2019.12.007
![]() |
[26] | S. Hussain, S. Mehboob, On some generalized fractional integral Bullen type inequalities with applications, J. Frac. Calc. Nonlinear Syst., 2 (2021), 12–20. |
[27] |
H. Khan, J. F. Gomez-Aguilar, A. Alkhazzan, A. A.Khan, Fractional order HIV-TB coinfection model with nonsingular Mittag-Leier law, Math. Methods Appl. Sci., 43 (2020), 3786–3806. https://doi.org/10.1002/mma.6155 doi: 10.1002/mma.6155
![]() |
[28] |
H. Khan, A. Khan, F. Jarad, A. Shah, Existence and data dependence theorems for solutions of an ABC-fractional order impulsive system, Chaos Soliton. Fract., 131 (2019), 10947. https://doi.org/10.1016/j.chaos.2019.109477 doi: 10.1016/j.chaos.2019.109477
![]() |
[29] | A. Ali, K. Shah, Y. Li, Topological degree theory and Ulam's stability analysis of a boundary value problem of fractional differential equations, In: G. Anastassiou, J. Rassias, Frontiers in functional equations and analytic inequalities, Springer, 2019, 73–92. https://doi.org/10.1007/978-3-030-28950-8_4 |
[30] |
B. Ahmad, M. Alblewi, S. K. Ntouyas, A. Alsaedi, Existence results for a coupled system of nonlinear multi-term fractional differential equations with anti-periodic type coupled nonlocal boundary conditions, Math. Methods Appl. Sci., 44 (2021), 8739–8758. https://doi.org/10.1002/mma.7301 doi: 10.1002/mma.7301
![]() |
[31] |
G. Ali, K. Shah, G. Rahman, Existence of solution to a class of fractional delay differential equation under multi-points boundary conditions, Arab J. Basic Appl. Sci., 27 (2020), 471–479. https://doi.org/10.1080/25765299.2020.1850621 doi: 10.1080/25765299.2020.1850621
![]() |
[32] |
A. Ali, R. A. Khan, Existence of solutions of fractional differential equations via topological degree theory, J. Comput. Theor. Nanosci., 13 (2016), 143–147. https://doi.org/10.1166/jctn.2016.4781 doi: 10.1166/jctn.2016.4781
![]() |
[33] |
A. Ali, B. Samet, K. Shah, R. A. Khan, Existence and stability of solution to a toppled systems of differential equations of non-integer order, Bound. Value Probl., 2017 (2017), 16. https://doi.org/10.1186/s13661-017-0749-1 doi: 10.1186/s13661-017-0749-1
![]() |
[34] |
C. Derbazi, Z. Baitiche, M. S. Abdo, K. Shah, B. Abdalla, T. Abdeljawad, Extremal solutions of generalized Caputo-type fractional-order boundary value problems using monotone iterative method, Fractal Fract., 6 (2022), 146. https://doi.org/10.3390/fractalfract6030146 doi: 10.3390/fractalfract6030146
![]() |
[35] | H. Royden, P. Fitzpatrick, Real analysis, Classic Version, Pearson Modern Classics for Advanced Mathematics Series, 4 Eds., Pearson, 2017. Available from: https://www.pearson.com/us/higher-education/series/Pearson-Modern-Classics-for-Advanced-Mathematics-Series/5121759.html. |
[36] |
D. Baleanu, S. Etemad, H. Mohammadi, S. Rezapour, A novel modeling of boundary value problems on the glucose graph, Commun. Nonlinear Sci. Numer. Simul., 100 (2021), 105844. https://doi.org/10.1016/j.cnsns.2021.105844 doi: 10.1016/j.cnsns.2021.105844
![]() |
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27. | Junjie Li, Kai Gao, Yuan Rong, A hybrid multi-criteria group decision methodology based on fairly operators and EDAS method under interval-valued Fermatean fuzzy environment, 2024, 9, 2364-4966, 10.1007/s41066-024-00463-9 | |
28. | Deepika Rani, 2024, Chapter 18, 978-981-97-3179-4, 277, 10.1007/978-981-97-3180-0_18 | |
29. | Said Broumi, S. Sivasankar, Assia Bakali, Mohamed Talea, 2024, Chapter 18, 978-981-97-6971-1, 413, 10.1007/978-981-97-6972-8_18 | |
30. | Aakanksha Singh, Ritu Arora, Shalini Arora, A new Fermatean fuzzy multi‐objective indefinite quadratic transportation problem with an application to sustainable transportation, 2024, 0969-6016, 10.1111/itor.13513 | |
31. | Anam Luqman, Gulfam Shahzadi, Multi-criteria group decision-making based on the interval-valued q-rung orthopair fuzzy SIR approach for green supply chain evaluation and selection, 2023, 8, 2364-4966, 1937, 10.1007/s41066-023-00411-z | |
32. | A Mohamed Atheeque, S Sharief Basha, Signless Laplacian energy aware decision making for electric car batteries based on intuitionistic fuzzy graphs, 2024, 107, 0036-8504, 10.1177/00368504241301813 | |
33. | Qiaosong Jing, Enhanced Decision Model for Optimize Operational Performance and Cost Efficiency Under Disc Interval-Valued Fermatean Fuzzy Acknowledge, 2024, 12, 2169-3536, 194423, 10.1109/ACCESS.2024.3520223 | |
34. | Dianwei Zou, Liping Pan, Evaluating Visual Satisfaction in Urban Sculpture Spaces: A Multi-Criteria Decision Making Approach, 2025, 13, 2169-3536, 9354, 10.1109/ACCESS.2025.3528258 | |
35. | Liu Peng, Fusing Emotion and Art Communication: A Disc Interval-Valued Fermatean Fuzzy Decision-Making Approach, 2025, 13, 2169-3536, 8723, 10.1109/ACCESS.2025.3527580 | |
36. | Wajahat Ali, Shakeel Javaid, A solution of mathematical multi-objective transportation problems using the fermatean fuzzy programming approach, 2025, 0975-6809, 10.1007/s13198-025-02716-5 | |
37. | Rabia Mazhar, Shahida Bashir, Muhammad Shabir, Mohammed Al-Shamiri, A soft relation approach to approximate the spherical fuzzy ideals of semigroups, 2025, 10, 2473-6988, 3734, 10.3934/math.2025173 | |
38. | Tarishi Baranwal, A. Akilbasha, Economical heuristics for fully interval integer multi-objective fuzzy and non-fuzzy transportation problems, 2024, 34, 0354-0243, 743, 10.2298/YJOR240115035B | |
39. | P. Anukokila, B. Radhakrishnan, 2025, Chapter 4, 978-981-96-0388-6, 45, 10.1007/978-981-96-0389-3_4 | |
40. | Aakanksha Singh, Ritu Arora, Shalini Arora, 2025, Chapter 9, 978-981-96-0388-6, 149, 10.1007/978-981-96-0389-3_9 | |
41. | Wei Xia, Yang Liu, Ya Pi, Optimize Decision Model for Urban Land Development Using Disc Fermatean Fuzzy Information With Z-Numbers, 2025, 13, 2169-3536, 68370, 10.1109/ACCESS.2025.3560685 |