Research Article | Open Access

Volume 2021 |Article ID 9917271 | https://doi.org/10.1155/2021/9917271

Doan Thi Nhu Quynh, Bui Duc Nam, Le Thi Mai Thanh, Tran Trinh Manh Dung, Nguyen Huu Nhan, "High-Order Iterative Scheme for a Viscoelastic Wave Equation and Numerical Results", Mathematical Problems in Engineering, vol. 2021, Article ID 9917271, 27 pages, 2021. https://doi.org/10.1155/2021/9917271

High-Order Iterative Scheme for a Viscoelastic Wave Equation and Numerical Results

Revised01 May 2021
Accepted18 May 2021
Published07 Jun 2021

Abstract

In this paper, we consider a Robin problem for a viscoelastic wave equation. First, by the high-order iterative method coupled with the Galerkin method, the existence of a recurrent sequence via an -order iterative scheme is established, and then the -order convergent rate of the obtained sequence to the unique weak solution of the proposed model is also proved. Next, with , a numerical algorithm given by the finite-difference method is constructed to approximate the solution via the 2-order iterative scheme. Moreover, the same algorithm for the single-iterative scheme generated by the 2-order iterative scheme is also considered. Finally, comparison with errors of the numerical solutions obtained by the single-iterative scheme and the 2-order iterative scheme shows that the convergent rate of the 2-order iterative scheme is faster than that of the single-iterative scheme.

1. Introduction

In this paper, we consider the following initial boundary value problem for a viscoelastic wave equation with nonlinear damping:where are constants, with , and , , and are given functions.

Equation (1) arises naturally within frameworks of mathematical models in engineering and physical sciences. The left-hand integral of equation (1) stands for the characters of viscoelastic materials. Many researchers have paid attention to viscoelastic materials for a quite long time, especially in the last two decades, and have made a lot of progress, taking into account viscoelastic fluid, which achieved major attention due to its application in different physiological and industrial processes. In the same content, nanofluid has become an interesting objective which describes various phenomena such as electrical conductivity, especially in the bubble electrospinning [1â€“3], heat transfer on solid particle motion [4], biologically inspired peristaltic transport [5], and rheology controlled by the concentration of the added particles (such as SiC) [6]. In addition to studying the specific properties of viscoelastic materials, numerous researchers have considered the extensions of the mathematical model for viscoelastic problems and have obtained many interesting properties of solutions such as global existence, decay, and blow-up result. One of the problems similar to problems (1)â€“(3) was considered by Messaoudi [7], in which the blow-up result of solutions with negative initial energy was established. After that, Li and He [8] proved, under suitable conditions, the global existence and the general decay of solutions for the same model. Recently, the results obtained in [8] have also been investigated by Mezouar and Boulaaras [9, 10] for the proposed nonlocal viscoelastic problems.

Consider a recurrent sequence associated with equation (1) and defined by, with satisfying (2) and (3). If the sequence converges to the weak solution of problems (1)â€“(3) and satisfies an estimate of order in the form of , for some , all integer numbers , and is a certain Banach space, such a method for finding the solution of problems (1)â€“(3) is called high-order iterative method. The original idea of this method is based on investigating the recurrent relations of a Newton-like method in Banach spaces [11]. After that, this approach was also applied successfully to [12â€“17]. In [17], Truong et al. considered the nonlinear wave equation of Kirchhoff-Carrier type as follows:where , and are given functions, is a given constant, and depends on the integrals and . The authors associated the first equation in (5) with a recurrent sequence defined bywhere satisfies second and third equations in (5), and proved that converges to the unique weak solution of problem (5). Moreover, with , the 3-order iterative scheme was established, and some numerical results of finite-difference approximate solutions were presented. In [15], the authors investigated the Dirichlet problem for a wave equation with linear damping and nonlinear integral as follows:where , , , , and are given functions and is a given constant. If , , and , with , by the high-order iterative method coupled with the Galerkin method, the existence of a recurrent sequence associated with equation (7) and defined by, , with satisfying second and third equations in (7), was proved, and convergence with the -order rate to the unique weak solution of problem (7) was also confirmed. Some other iteration methods can be widely used to solve various nonlinear problems, for example, the variational iteration method and the homotopy perturbation method. Based on the basic idea of the enhanced perturbation method and the homotopy technology, Li and He [18] constructed a modified homotopy perturbation method, making a very high accuracy of the obtained approximate solution. Recently, Ji et al. [19] successfully applied Li and Heâ€™s modified homotopy perturbation method coupled with the energy method for the dropping shock response of a tangent nonlinear packaging system.

When , equation (1) is reduced to the following nonlinear wave equation:where and , which has been extensively studied and obtained many interesting results such as global existence, exponential decay, and finite-time blow-up result. If , it is well known that the source term causes a finite-time blow-up phenomenon of the solution with negative initial energy; see [20â€“23]. If , the damped term assures the global existence for suitably initial data; see [24â€“29]. The interactions between the damping and the source terms give the results that the solutions with any initial data continue to exist globally in time if and blow up in finite time if and the initial energy is sufficiently negative.

In the presence of the viscoelastic term and in (9), Messaoudi [7] considered a Dirichlet problem for a nonlinear wave equation as follows:where is a bounded domain of () with a smooth boundary , , and is a positive nonincreasing function. With suitable conditions on , he proved that the solutions with initial negative energy blow up in finite time if and continue to exist if satisfied the condition

Later, in case of and , Kafini and Messaoudi [30] also established the finite-time blow-up result with suitable conditions on the initial data and the relaxation function . In the presence of the strong damping and the linear damping , Li and He [8] proved the global existence of solutions and established a general decay rate estimate for problem (10). Moreover, they showed the finite-time blow-up results of solutions with both negative initial energy and positive initial energy.

Although there are many studies of solution properties of viscoelastic problems, however, it seems that few works related to numerical algorithms for this type were published. In [31], Long et al. proved the global existence and exponential decay of equation (1) associated with a mixed nonhomogeneous conditionand initial condition (3). With and , the derivatives were first approximated by finite-difference schemes. Then, a linear recursive scheme generated by the nonlinear difference equation was constructed. Finally, the exact solution and the approximate solution were illustrated numerically. In [14], Ngoc et al. also obtained the same results given in [31] for the following nonlinear wave equation associated with nonlocal boundary conditions:where , , and are given constants and , , , , , and are given functions satisfying conditions specified later.

In some recent literature studies, various difference methods have been applied to studying the consistency, stability, efficiency, and convergence of the proposed schemes such as Boulaaras [32] used finite element methods to prove the existence and uniqueness of the discrete solution for an evolutionary implicit 2-sided obstacle problem. Boulaaras and Haiour [33] analysed the convergence and regularity of the proposed algorithm via the finite element methods coupled with a theta time discretization scheme for evolutionary Hamiltonâ€“Jacobiâ€“Bellman equations. Mohanty and Gopal [34] used a cubic spline finite difference method of Numerov type with an accuracy of order two in time and four in space directions for the solution of the telegraphic equation with the forcing function:where are real parameters. In [35], Alsuyuti et al. applied a new modified Galerkin algorithm based on the shifted Jacobi polynomials to solve fractional differential equations and a system of fractional differential equations governed by homogeneous and nonhomogeneous initial and boundary conditions. The new algorithm was also applied for fractional partial differential equations with Robin boundary conditions and the time-fractional telegraph equation. In addition, some illustrative examples were presented to confirm the validity and efficiency of the proposed algorithm. Recently, capability of the meshless methods has been proved by using them for many different problems; see [36, 37] and the references therein. In [36], OruÃ§ used two meshless methods based on the local radial basis function and barycentric rational interpolation for solving a two-dimensional viscoelastic wave equation. The stability of the methods, the accuracy, and the computational cost were considered. From the comparisons, it was shown that the performance of the barycentric rational interpolation in the sense of accuracy is slightly better than the performance of the local radial basis function; however, the computational cost of the local radial basis function is less than the computational cost of the barycentric rational interpolation. Before, a local meshless method was proposed in [37] for convection-dominated steady and unsteady partial differential equations in which numerical results have confirmed that the new approach is accurate and efficient for solving a wide class of one- and two-dimensional convection-dominated problems having sharp corners and jump discontinuities.

The first goal of our present paper is devoted to studying the existence and the -order convergence of the high-order iterative scheme defined by (4). In case , , and , the second goal is mentioned to building a numerical algorithm in order to approximate the successive solutions of the 2-order iterative scheme as follows:where

Furthermore, in a specific case of (15) with , the corresponding scheme called the single-iterative scheme is considered. Then, the numerical algorithms of both schemes are established, and the results of errors are presented to compare their convergent rates also.

For the first purpose, by using the high-order iterative method coupled with the Galerkin method, we shall prove the existence of a recurrent sequence associated with equation (1) and defined by (4), and then convergence with the -order rate to the unique weak solution of problems (1)â€“(3) will also be claimed. For the second purpose, first, we shall use the uniform spatial partition , , , , and the forward difference formulas (see [38], pages 36 and 43) to approximate the derivatives. Then, problems (15) and (16) will be changed into a system of second-order integrodifferential equations (in the time variable) of the unknown functions , , . Normally, this system will be converted into a system of first-order integrodifferential equations by using the auxiliary functions ; see the same transformations in [14, 17, 23, 26, 29, 31]; however, these transformations will increase computations. To reduce the computations, the above second-order integrodifferential system will be transformed into a system of first-order integrodifferential equations by integrating in time on interval . After that, to approximate double integrals, the trapezoidal formula will be successively used twice. It can be said with much confidence that this technique has never been used before. Next, by using uniform partition , , , , for discretization in time variable , we will obtain an algorithm to determine the finite-difference approximate solutions of via 2-order iterative schemes (15) and (16) given by the following difference equation (formula (149) below):where is defined by (147) and (148). Finally, we will construct the algorithm to find the finite-difference approximate solutions of given by the single-iterative scheme (formulas (157)â€“(159) below) and present a numerical example to compare convergent rates of two schemes. The errors of computations of the numerical solutions given by two schemes show that the convergent rate of the 2-order iterative scheme is faster than that of the single-iterative scheme.

Our paper is organized as follows. In Section 2, we introduce some notations and modified lemmas. In Section 3, by using the Galerkin method and standard arguments of compactness, we prove the existence and convergence of the high-order sequence defined by (4). In Section 4, by using the finite-difference method and some new techniques to reduce computations and to approximate a double integral, we construct a numerical algorithm to determine the finite-difference approximate solutions of via 2-order iterative schemes (15) and (16). Moreover, a concrete example is numerically illustrated to compare the convergent rate of the single-iterative scheme with that of the 2-order iterative scheme. In Section 5, we summarize the main outcomes of our paper.

2. Preliminaries

First, we put and denote the usual function spaces used in this paper by the notations and . Let be either the scalar product in or the dual pairing of a continuous linear functional and an element of a function space. The notation stands for the norm in , is the norm in the Banach space , and is the dual space of .

We denote by , , for the Banach space of real functions measurable such that

With , , we put , , , and ; , , and .

Next, we put

On , three norms , and are equivalent norms.

The weak solution of problems (1)â€“(3) can be defined as follows. A function is a weak solution of problems (1)â€“(3) ifand satisfies the following variational equation:for all , and a.e., , together with the initial conditionswhere is the symmetric bilinear form on defined by (19).

We now have the following lemmas, the proofs of which are straightforward, so we omit the details.

Lemma 1. The imbedding is compact, andfor all , .

Lemma 2. Let and with . Then, the symmetric bilinear form defined by (19) is continuous on and coercive on , i.e.,where and .

Lemma 3. There exists the Hilbert orthonormal base of consisting of the eigenfunctions corresponding to the eigenvalue such that

Furthermore, the sequence is also a Hilbert orthonormal base of with respect to the scalar product .

On the contrary, we have satisfying the following boundary value problem:

The proof of Lemma 3 can be found in Theorem 7.7 of [39], p.87, with and as defined by (19).

3. The High-Order Iterative Method

First, we make the following assumptions:

Fix. For each given, we set the constant as follows:

For every and, we put

Now, we establish a recurrent sequence in which the first term is chosen as , and suppose that

The iteration can be defined by the following problem: find satisfying the nonlinear variational problemwhere

The existence of the above sequence is claimed by the following theorem.

Theorem 1. Let hold. Then, there exist a constant depending on , , , and and a constant depending on , , , , , , , and such that, for , there exists a recurrent sequence defined by (32) and (33).

Proof. The proof of Theorem 1 consists of three steps.

Step 1. (Faedoâ€“Galerkin approximation). Let be a basis of as in Lemma 3; we find an approximate solution of problems (32) and (33) in the form ofwhere the coefficients satisfy the following system of nonlinear differential equations:in whichandwithNote that, by using (31) and standard methods in ordinary differential equations, we can prove that system (35) admits a unique solution , , on interval . The following estimates allow one to take independent of and .

Step 2. (a priori estimates). First, for all , multiplying the first equation in (35) by , summing on , and integrating with respect to the time variable from 0 to , we havewhereNext, by replacing in the first equation in (35) by , we obtain thatsimilar to the first equation in (35), and it yieldswithPuttingit follows from (39), (42), and (44) thatWe estimate and the integrals on the right-hand side of (45) as follows.
First integral : it is clear thatSecond integral : by the inequality , , , we haveThird integral : using the following inequality for all , , we obtainFourth integral :Fifth integral : note that the first equation in (35) can be written as follows:Hence, replacing with and using the inequality for all , , , we obtainThis implies thatIntegrating in , we haveSixth integral :Seventh integral :