#### Abstract

The goal of this paper is to study an initial boundary value problem of stochastic viscoelastic wave equation with nonlinear damping and source terms. Under certain conditions on the initial data: the relaxation function, the indices of nonlinear damping, and source terms and the random force, we prove the local existence and uniqueness of solution by the Galerkin approximation method. Then, considering the relationship between the indices of nonlinear damping and nonlinear source, we give the necessary conditions of global existence and explosion in finite time in some sense of solutions, respectively.

#### 1. Introduction

We consider a stochastic viscoelastic wave equation with nonlinear damping and source terms where is a bounded domain in with smooth boundary , , , is a given positive constant which measures the strength of noise, and is an infinite dimensional Wiener process, is -valued progressively measurable and is a positive relaxation function satisfying some conditions to be specified later. By simplicity, we have set equal to 1 all the coefficients in the equation different from the random force.

For the deterministic case on viscoelastic wave equation, many authors studied the following problem: where . If , . Haraux and Zuazua [1] and Kopáčková [2] proved that the damping term assures existence of global solution and decay of solution for arbitrary initial data. If , , Ball [3] and Kalantarov and Ladyzhenskaya [4] gave that the source term causes finite time blow-up with the large initial data. If , , the interaction between damping term and source term occurs; Levine et al. [5, 6] studied the linear damping (i.e., ) and proved that the solution with negative initial energy blows up in finite time; Georgiev and Todorova [7] considered nonlinear damping and source terms; they showed that the solution blows up in finite time if for sufficiently large initial data and exists globally if with large initial data. Alves et al. [8] and Rammaha [9] focused the nonlinear wave equations or systems on the influence between damping and source and described the existence, uniform decay rates, and blow-up to the solutions.

In fact, lots of investigators have paid attention to the viscoelastic wave equation, which has its origin in the mathematical description of viscoelastic materials. The dynamic properties of viscoelastic materials are of great importance as they appear in many applications to natural sciences. The general viscoelastic wave equation has the following form: where is a relaxation function and , are given functions. If is nonlinear, is linear; Kafini and Messaoudi [10] established a blow-up result; if , . Messaoudi [11] showed that the solution with negative initial energy blows up in finite time if and exists globally if under suitable conditions on relaxation function . This blow-up result has been pushed to the case of positive initial energy by Messaoudi [12]. For , Song and Zhong [13] obtained that the solution with positive initial energy blows up in finite time. Ikehata [14] gave some remarks on the wave equations with nonlinear damping and source terms. Aassila et al. [15], Cavalcanti et al. [16], and Cavalcanti et al. [17] studied the boundary damping and proved the existence and uniform decay of the solutions. Cavalcanti et al. [18] discussed the asymptotic stability of the wave equation on a compact Riemannian manifold; they proved that the solutions of the corresponding partial viscoelastic model decay exponentially to zero under some conditions.

Under the consideration of random environment, some authors investigated the following stochastic wave equation with nonlinear damping and source terms: where is a -valued -Wiener process on some completed probability space, and is a nonnegative operator with finite trace on (see [19–26]). If , or ; Bo et al. [27] showed that the solution blows up with positive probability or it is explosive in sense. If , Gao et al. [28] showed that the global solution exists for , and the solution blows up with positive probability or is explosive in energy sense for .

Recently, Wei and Jiang [29] and Liang and Gao [30] considered the following nonlinear stochastic viscoelastic wave equation with linear damping: and they used the fixed point theorem to prove the existence and uniqueness of local mild solution; then by an appropriate energy inequality and estimations, they obtained the global existence and the decay estimate of the energy function of the solution and showed that the solution blows up with positive probability or it is explosive in sense under some conditions.

As we know, no one considers the stochastic viscoelastic wave equation (1) with the interaction between nonlinear damping and nonlinear source terms. In this paper, we study the global existence and the explosive phenomena under some suitable conditions on the nonlinear damping and nonlinear source terms.

In contrast with the model in [27], we add a viscoelastic term and use the nonlinear damping term instead of the linear damping and the strong damping . To the model in [28], we add a viscoelastic term . To the model in [29, 30], we use the nonlinear damping term instead of the linear damping . To the model in [12], we add a random force. In this paper, we generalize the blow-up and global existence results to the solution of (1) with interaction among viscoelastic memory, nonlinear damping, nonlinear source, and random force.

This paper is organized as follows. In the next section, we recall some preliminaries related to assumptions and definitions for the solutions of the stochastic equations. In Section 3, we use the Galerkin approximation method to get the local solution of stochastic viscoelastic wave equations with nonlinear damping and source terms. In Section 4, by the energy function and some estimates, we prove that the solution blows up with positive probability or it is explosive in energy sense for . In the last section, we obtain the existence of global solution by the Borel-Cantelli Lemma.

#### 2. Preliminaries

Let be a separable Hilbert space with Borel -algebra , and let be a probability space. We set with the inner product and norm denoted by and , respectively. Denote by the norm for and by the Dirichlet norm in which is equivalent to norm. We also assume that , satisfy

Lemma 1 (see [27]). *For all and or , there exists a constant such that
*

One assumes that is a bounded nonincreasing function satisfying , , and there exist positive constants and such that

In this paper, stands for expectation with respect to probability measure , is a -valued -Wiener process on the probability space with the covariance operator satisfying . A complete orthonormal system in with , and a bounded sequence of nonnegative real numbers satisfies that , .

To simplify the computations, we assume that the covariance operator and Laplacian with homogeneous Dirichlet boundary condition have a common set of eigenfunctions, that is, and then, for any , has an expansion where are real valued Brownian motions mutually independent on . Let be the set of -valued processes with the norm where denotes the adjoint operator of . For any process , we can define the stochastic integral with respect to the -Wiener process as , which is a martingale. For more details about the infinite dimension Wiener process and the stochastic integral, we refer the readers to [21].

*Definition 2. *Assume that , and ; is said to be a solution of (1) on the interval , if is -valued progressively measurable, , , and such that (1) holds in the sense of distributions over for almost all .

#### 3. Local Existence and Uniqueness

In this section, we establish the local existence and uniqueness of solution to problem (1) by the Galerkin approximation method. Set , . For each , we define a cut-off function , such that , for , and

Denote for , then, Lemma 1 implies that where is a constant depending only on .

For any , the Yosida approximation of mapping is and it has the following properties (see [28, 31, 32]):

Lemma 3 (see [28]). *Let be a sequence of positive numbers, and let be a sequence of real numbers such that and as , then
*

Lemma 4 (see [33]). *Let be a bounded domain in . Suppose that is a bounded sequence in , such that for almost all , for some . Then weakly in .*

Fix and ; we consider the regularized initial boundary value problem with the initial data and is -valued progressively measurable such that

For notational convenience, we omit in the Hilbert space.

Lemma 5. *Assume (18), (19), and the conditions on hold. Then there is a pathwise unique solution of (17) such that , and ; . Moreover, it holds that
**
where denotes a positive constant independent of .*

*Proof. *Let and let be the solution of the following system:
By formula, we have
for all and almost all , where
Using Hölder’s inequality, Young’s inequality, Poincaré’s inequality, and Lemma 1, we have
and so we have

Since
thus we have
where depends on the fixed number .

Due to integration by parts, we have
Since is the Yosida approximation of mapping , by the Lemma 3 and sign-preserving theorem of limit, for small enough , we have
Moreover, by the conditions of , we get
Next, from the properties of , we have
and similar to the derivation of (34), we have
By the B-D-G inequality and Young’s inequality, we have

From (22)–(37), we get
then,
Set
and we can rewrite (39) as follows:
and due to Gronwall’s inequality and (29), it is clear that

Let be the orthogonal projection of into the space Span , such that
Define , where is an -valued progressively measurable such that (19) holds and is an -valued process; there is a subset with such that for each , , and we have
for all .

From (42), there is a subsequence , for each , such that,
and by the properties of relaxation function and Hölder’s inequality, we get
From (15) and embedding theorem we have
Together with (42)–(47), we obtain
for all . By (48) and weakly star in , we have
This implies that there exists a subsequence still denoted by such that
Due to (47) and Lemma 4, it is clear that
Thus, satisfies (17) in the sense of distributions over .

Next, we will prove the uniqueness of the solution. If there is another solution of (17), , in the above sense, then satisfies
Taking the inner product of (51) with in , we obtain
From (15), we have
By Lemma 1 and Hlder’s inequality,
Due to (30), we have
Combining (52) with (55), similar to (32) and (34), we get
which implies , that is, . So is well defined, for each .

Finally, we state that is -valued progressively measurable for any , and the energy inequality holds true; this can be established by the similar argument in [28, 31].

Moreover, we still fix and consider the following problem: The following lemma is important to prove the local existence of solution of (1).

Lemma 6 (see [28, 31]). *Assume that (18), (19), and the conditions of hold. Then there is a pathwise unique solution of (58) such that
**
From Lemmas 5 and 6, we state a local existence theorem of (1); the proof is standard; for more information we refer the readers to [28, 31].*

Theorem 7 (see [28, 31]). *Assume that , , (6), and the conditions of hold; there is a pathwise unique local solution of (1) according to Definition 2 such that the following energy equation holds:
*

#### 4. Blow Up

In this section we prove our main result for . For this purpose, we give refined restrictions on and relaxation function such that Define an energy function where

For each , introduce the stopping time by , where is increasing in , let .

In order to prove our blow-up result, we rewrite (1) as an equivalent system where . Then the energy function becomes

First we give a lemma.

Lemma 8. *Assume that (6), (61), and the conditions of hold. Let be a solution of system (64) with initial data . Then we have
*

*Proof. *Using formula to and , respectively, and taking the expectations, in the same way as our discussions in existence of solution to deal with the memory term, it is easy to get (66) and (67) (see [28]).

Let Due to (61), we have We set . Then, (66) implies that

Lemma 9. *Let be a solution of system (64). Then there exists a positive constant such that
*

*Proof. *If then by Sobolev embedding theorem. If then . Therefore, combination with the definition of energy function, we can get (71).

Theorem 10. *Assume that (6), (61), and the conditions of hold. Let be a solution of system (64) with initial data satisfying
**
where is an arbitrary constant. If , then the solution and the lifespan defined above, either*(1)*, that is, blows up in finite time with positive probability, or*(2)*there exists a positive time such that
where
and are given in later.*

*Proof. *For the lifespan of the solution of (1) with norm, firstly we treat the case when . Then, for sufficiently large , by (70) and (72), we have

Define , where
and is a very small constant determined in later.

Using (67) and (70), we obtain