Abstract

We investigate a 𝐻1-Galerkin mixed finite element method for nonlinear viscoelasticity equations based on 𝐻1-Galerkin method and expanded mixed element method. The existence and uniqueness of solutions to the numerical scheme are proved. A priori error estimation is derived for the unknown function, the gradient function, and the flux.

1. Introduction

Consider the following nonlinear viscoelasticity-type equation: 𝑢𝑡𝑡𝑎(𝑥,𝑢)𝑢𝑡+𝑏(𝑥,𝑢)𝑢=𝑓(𝑥,𝑡),(𝑥,𝑡)Ω×𝐽,𝑢(𝑥,𝑡)=0,(𝑥,𝑡)𝜕Ω×𝐽,𝑢(𝑥,0)=𝑢0(𝑢𝑥),𝑥Ω,𝑡(𝑥,0)=𝑢1(𝑥),𝑥Ω,(1.1) where Ω is a convex polygonal domain in 𝑅2 with the Lipschitz continuous boundary 𝜕Ω, 𝐽=(0,𝑇] is the time interval with 0<𝑇<, and 𝑢0(𝑥) and 𝑢1(𝑥) are, respectively, the initial data functions defined on Ω. The deformation of viscoelastic solid under the external loads is usually considered by means of this viscoelastic model [14], and the problem has a unique sufficiently smooth solution with the regularity condition provided that the given data 𝑢0(𝑥), 𝑢1(𝑥), 𝑎(𝑢), 𝑏(𝑢), and 𝑓 are sufficiently smooth [5].

For problem (1.1), by adopting finite element method, Lin et al. [6] established the convergence of the finite element approximations to solutions of Sobolev and viscoelasticity type of equations via Ritz-Volterra projection and an optimal-order error estimates in 𝐿𝑝 (2𝑝<). Latter, Lin and Zhang [7] presented a direct analysis for global superconvergence for this problem without using the Ritz projection or its modified forms. Jin et al. [8] and Shi et al. [9] employed the Wilson nonconforming finite element and a Crouzeix-Raviart type nonconforming finite element on the anisotropic meshes to solve viscoelasticity-type equations, and the global superconvergence estimations were obtained by means of post-processing technique. Since the estimation of flux 𝑢 by the unknown scalar 𝑢 is usually indirect, thus the quantity of calculation of the finite element method is relatively large.

As an efficient strategy, mixed finite element methods received much attention in solving partial differential equation in recent decades [1016]. Compared with finite element methods, mixed finite element methods can obtain the unknown scalar 𝑢 and its flux 𝑢 directly, and; hence, it can decrease smoothness of solution space. However, the LBB assumption is needed in the approximating subspaces and; hence, confines the choice of finite element spaces.

On the base of the mixed finite element methods, Pani [17] proposed a new mixed finite element method, called the 𝐻1-Galerkin mixed finite element procedure, to solve a mixed system in unknown scalar and its flux. Compared with the standard mixed finite methods, the new mixed finite element method does not require the LBB condition, and a better order of convergence for the flux in 𝐿2 norm can be obtained if an extra regularity on the solution holds. Recently, 𝐻1-Galerkin mixed finite element methods were applied to differential equations [1822]. However, the assumption needed for this method is not suitable for the nonlinear equations and equations with a small tensor. To overcome this, Chen and Wang [23] proposed 𝐻1-Galerkin expanded mixed finite element methods which combines the 𝐻1-Galerkin formulation and the expanded mixed finite element methods [24] to deal with a nonlinear parabolic equation in porous medium flow. This method can compute the scalar unknown, its gradient, and its flux directly. Hence, it is suitable to the case where the coefficient of the differential equation is a small tensor and cannot be inverted. Motivated by this, we establish an 𝐻1-Galerkin expanded mixed finite element method for the viscoelasticity-type equations.

The remainder of this paper is organized as follows. In Section 2, we first establish the equivalence between viscoelasticity-type equations and their weak formulation by using the 𝐻1-Galerkin expanded mixed finite element methods and then discuss the existence and uniqueness of the formulation. In Section 3, we show that the 𝐻1-Galerkin expanded mixed finite element method has the same convergence rate as that of the classical mixed finite element methods without requiring the LBB consistency condition.

Throughout this paper, we use 𝐻 to denote the space 𝐻(div,Ω)={𝐯(𝐿2(Ω))𝑑𝐯𝐿2(Ω)} with norm 𝐯𝐇(div;Ω)=(𝐯2+𝐯2)1/2 and 𝐻10(Ω)={𝑤𝐻1(Ω)𝑤=0on𝜕Ω}. For theoretical analysis, we also need the following assumptions on the functions involved in problem (1.1).

Assumption 1.1. (1) There exist constants a1 and a2 such that 0<𝑎1𝑎(𝑥,𝑢),𝑏(𝑥,𝑢)𝑎2.
(2) The functions 𝑎(𝑥,𝑢),𝑏(𝑥,𝑢),𝑎𝑢(𝑥,𝑢), and 𝑏𝑢(𝑥,𝑢) are Lipschitz continuous with respect to 𝑢, and there exists 𝐶1>0 such that |𝜕𝑎/𝜕𝑢|+|𝜕𝑏/𝜕𝑢|+|𝜕2𝑎/𝜕𝑢2|+|𝜕2𝑏/𝜕𝑢2|𝐶1.

2. 𝐻1-Galerkin Expanded Mixed Finite Element Discrete Scheme

2.1. Weak Formulation

To define the 𝐻1-Galerkin expanded mixed finite element procedure, we introduce vector 𝐩=𝑎(𝑥,𝑢)𝑢𝑡+𝑏(𝑥,𝑢)𝑢,𝝈=𝑢,(2.1) and split (1.1) into a first-order system as follows: 𝑢𝑡𝑡𝐩=𝑓,𝝈=𝑢,𝐩=𝑎(𝑢)𝝈𝑡+𝑏(𝑢)𝝈,𝝈(𝑥,0)=𝑢0𝝈(𝑥),𝑡(𝑥,0)=𝑢1𝑢(𝑥),𝐩(𝑥,0)=𝑎0𝑢1𝑢(𝑥)+𝑏0𝑢0(𝑥).(2.2) Then by Green's formula we can further define the following weak formulation of problem (2.2): find (𝑢,𝝈,𝐩)𝐻10(Ω)×𝐻(div,Ω)×𝐻(div,Ω) such that 𝝈𝑡𝑡+,𝐪(𝐩,𝐪)=(𝑓,𝐪),𝐪𝐻(div,Ω),(𝝈,𝑣)=(𝑢,𝑣),𝑣𝐻10(Ω),(𝐩,𝐰)=𝑎(𝑢)𝝈𝑡,𝐰+(𝑏(𝑢)𝝈,𝐰),𝐰𝐻(div,Ω),𝝈(𝑥,0)=𝑢0𝝈(𝑥),𝑡(𝑥,0)=𝑢1𝑢(𝑥),𝐩(𝑥,0)=𝑎0𝑢1(𝑢𝑥)+𝑏0𝑢0(𝑥).(2.3)

In order to establish the equivalence between problem (2.2) and the weak form (2.3), we need the following technical lemmas.

Lemma 2.1 (see [25]). Let Ω be a bounded domain with a Lipschitz continuous boundary 𝜕Ω. Then, for any 𝐩𝐻(div,Ω), there exists 𝜙𝐻2𝐻(Ω)10(Ω) and divergence free 𝜓𝐻(div,Ω) such that 𝜓=0 and 𝐩=𝜙+𝜓.

Lemma 2.2 (see [26]). Let Ω be a bounded domain with a Lipschitz continuous boundary 𝜕Ω. Then, for any 𝑔𝐿2(Ω), there exists 𝐩(𝐻1(Ω))𝑑𝐻(div,Ω) such that 𝐩=𝑔.

Now we are in a position to state our main result in this subsection.

Theorem 2.3. Under the conditions of Lemmas 2.1 and 2.2, (𝑢,𝝈,𝐩)𝐻10(Ω)×𝐻(div,Ω)×𝐻(div,Ω) is a solution to the system (2.2) if and only if it is a solution to the weak form (2.3).

Proof. It is easy to check that any solution to the system (2.2) is a solution to the weak form (2.3). Hence, to prove the assertion, we only need to show that any solution to the weak form (2.3) is a solution to the system (2.2).
First, taking 𝐰=𝐩𝑎(𝑢)𝝈𝑡𝑏(𝑢)𝝈 in the third equation of (2.3) leads to 𝐩𝑎(𝑢)𝝈𝑡𝑏(𝑢)𝝈,𝐩𝑎(𝑢)𝝈𝑡𝑏(𝑢)𝝈=0,(2.4) which implies 𝐩=𝑎(𝑢)𝝈𝑡𝑏(𝑢)𝝈.(2.5)
By Lemma 2.1, there exist 𝜙𝐻2𝐻(Ω)10(Ω) and divergence free 𝜓𝐻(div,Ω) such that 𝜓=0 and 𝝈=𝜙+𝜓. Choosing 𝝈=𝜙+𝜓 in the second equation of (2.3) yields (𝜙+𝜓,𝑣)=(𝑢,𝑣),𝑣𝐻10(Ω).(2.6) By the divergence theorem [1], one has (𝜓,𝑣)=(𝜓,𝑣)=0,𝑣𝐻10(Ω).(2.7) Substituting (2.7) into (2.6) yields (𝜙,𝑣)=(𝑢,𝑣),𝑣𝐻10(Ω),(2.8) which means that 𝜙=𝑢,𝝈=𝑢+𝜓.(2.9) Inserting (2.5) and (2.9) into the first equation of (2.2) and applying the divergence theorem to the first term, for any 𝐪𝐻(div,Ω), one has 𝑢𝑡𝑡𝜓,𝐪𝑡𝑡𝑎,𝐪(𝑢)𝑢𝑡+𝜓𝑡+,𝐪((𝑏(𝑢)(𝑢+𝜓)),𝐪)=(𝑓,𝐪).(2.10) Instituting 𝐪=𝜓𝑡 into (2.10) and using 𝜓𝑡=0 lead to 𝜓0=𝑡𝑡,𝜓𝑡=12𝑑𝜓𝑑𝑡𝑡,𝜓𝑡.(2.11) Integrating from 0 to 𝑡 with respect to time results in 𝜓𝑡(𝑥,𝑡),𝜓𝑡=𝜓(𝑥,𝑡)𝑡(𝑥,0),𝜓𝑡.(𝑥,0)(2.12) Differentiating (2.9) with respect to 𝑡, one obtains 𝝈𝑡=𝑢𝑡+𝜓𝑡.(2.13) By the fifth equation in (2.3), we deduce that 𝜓𝑡,(𝑥,0)=0(2.14) which implies 𝜓𝑡(𝑥,𝑡)=0.(2.15) Integrating the equation 𝜓𝑡(𝑥,𝑡)=0 with respect to 𝑡 from 0 to 𝑡 gives 𝜓(𝑥,𝑡)=𝜓(𝑥,0).(2.16) By (2.9) and the forth equation in (2.2), we deduce 𝜓(𝑥,𝑡)=0,(2.17) which leads to 𝝈=𝑢.(2.18) Therefore, (2.10) can equivalently be transformed into the following equation: 𝑢𝑡𝑡𝑎,𝐪(𝑢)𝑢𝑡=+𝑏(𝑢)𝑢,𝐪(𝑓,𝐪),𝐪𝐻(div,Ω).(2.19) For 𝑓,𝑢𝑡𝑡𝐿2(Ω), by Lemma 2.2, there exists 𝐅𝐻(div,Ω) such that 𝐅=𝑢𝑡𝑡𝑓. Thus, (2.19) reduces to (𝐩,𝐪)=(𝐅,𝐪),𝐪𝐻(div,Ω).(2.20) Recalling Lemma 2.1, one concludes that 𝐅=𝐩,(2.21) that is, 𝑢𝑡𝑡𝐩=𝑓.(2.22) Combining this with (2.5) and (2.18) results in the desired assertion, and this completes the proof.

2.2. Numerical Scheme

Let 𝑇 be a quasi-uniform family of subdivision of domain Ω; that is, Ω=𝐾𝑇𝐾 with = max {diam(𝐾)𝐾𝑇}, and let 𝑉 be the finite-dimensional subspaces of 𝐻10(Ω) defined by 𝑉=𝑣𝐻10(Ω);𝑣𝐾𝑃𝑚,(𝐾)(2.23) where 𝑃𝑚(𝐾) denotes the space of polynomials of degree at most 𝑚 on 𝐾. Moreover, we denote the vector space in mixed finite element spaces with index 𝑘 by 𝐻. It is well known that both 𝐻 and 𝑉 satisfy the inverse property and the following approximation properties [26, 27]: inf𝑣𝑉𝑣𝑣+𝑣𝑣1𝐶𝑚+1𝑣𝑚+1,𝑣𝐻𝑚+1(Ω),inf𝐪𝑊𝐪𝐪𝐶𝑘+1𝐪𝑘+1,𝐪𝐻𝑘+1(Ω)𝑑.(2.24)

Let Π𝐻𝐻 denote the Raviart-Thomas interpolation operator [28] which satisfies 𝐪Π𝐪,𝐪=0,𝐪𝐻,(2.25) and the following estimates [26, 28, 29] 𝐪Π𝐪𝐶𝑘+1𝐪𝑘+1,(2.26)𝐪Π𝐪𝐶𝑘𝐪𝑘+1.(2.27)

With the above notations, the semidiscrete 𝐻1-Galerkin expanded mixed finite element method for system (2.3) is reduced to find a triple (𝑢,𝝈,𝐩)𝑉×𝐻×𝐻 such that 𝝈𝑡𝑡,𝐪+𝐩,𝐪=𝑓,𝐪,𝐪𝐻,𝝈,𝑣=𝑢,𝑣,𝑣𝑉,𝐩,𝐰=𝑎𝑢𝝈𝑡,𝐰+𝑏𝑢𝝈,𝐰,𝐰𝐻,𝐩(𝑥,0)=Π𝝈𝐩(𝑥,0),(𝑥,0)=Π𝑢0(𝝈𝑥),𝑡(𝑥,0)=Π𝑢1(𝑥).(2.28)

For the 𝐻1-Galerkin expanded mixed finite element scheme (2.28), we claim that there exists a unique solution.

In fact, set 𝑉=span{𝜑𝑖}𝑁𝑖=1 and 𝐻=span{𝜓𝑗}𝑀𝑗=1. Then 𝝈,𝐩𝐻 and 𝑢𝑉, and; hence, 𝝈=𝑀𝑗=1𝑝𝑖(𝑡)𝜓𝑖(𝑥),𝐩=𝑀𝑗=1𝜆𝑖(𝑡)𝜓𝑖(𝑥),𝑢=𝑁𝑖=1𝑢𝑖(𝑡)𝜑𝑖(𝑥).(2.29) Taking 𝐪=𝜓𝑗, 𝐰=𝜓𝑗, 𝑗=1,2,,𝑀, 𝑣=𝜑𝑖, 𝑖=1,2,,𝑁 in (2.28) leads to 𝐴𝑃𝑡𝑡+𝐵Λ=𝐹,𝐷𝑈=𝐶𝑃,𝐴Λ=𝑀(𝑈)𝑃𝑡+𝑁(𝑈)𝑃,(2.30) where𝜓𝐴=𝑖(𝑥),𝜓𝑗(𝑥)𝑀×𝑀𝑝,𝑃=1,𝑝2,,𝑝𝑀𝑇,𝐵=𝜓𝑖(𝑥),𝜓𝑗(𝑥)𝑀×𝑀𝜆,Λ=1,𝜆2,,𝜆𝑀𝑇,𝐷=𝜑𝑖(𝑥),𝜑𝑗(𝑥)𝑁×𝑁𝑢,𝑈=1,𝑢2,,𝑢𝑁𝑇,𝜓𝐶=𝑖(𝑥),𝜑𝑗(𝑥)𝑁×𝑀𝑎,𝑀(𝑈)=(𝑈)𝜓𝑖(𝑥),𝜓𝑗(𝑥)𝑀×𝑀,𝑁𝑏(𝑈)=(𝑈)𝜓𝑖(𝑥),𝜓𝑗(𝑥)𝑀×𝑀,𝐹=𝑓,𝜓𝑗(𝑥)𝑀×1,(2.31) and 𝑃(0), 𝑃𝑡(0) are given.

Note that matrix 𝐴 in (2.31) is positive definite. Thus, by the third equation in (2.30), one has Λ=𝐴1𝑀𝑃𝑡+𝑁𝑃.(2.32) Inserting the above equality into the first equation of (2.30) yields 𝐴𝑃𝑡𝑡+𝐵𝐴1𝑀𝑃𝑡+𝐵𝐴1𝑁𝑃=𝐹.(2.33) By the standard arguments on the initial-value problem of a system of ordinary differential equations, we can obtain existence and uniqueness of 𝑃. The existence and uniqueness of 𝑈 and Λ follow from the existence and uniqueness of 𝑃.

3. Error Analysis

This section is devoted to the error estimates for the 𝐻1-Galerkin expanded mixed finite element method.

For error analysis in the following, we need to introduce a projection operator. Let 𝑅𝐻10(Ω)𝑉 be the Ritz projection defined by 𝑢𝑅𝑢,𝑣=0,𝑣𝑉.(3.1) Then the following approximation holds [27]: 𝑢𝑅𝑢+𝑢𝑅𝑢𝐶𝑚+1𝑢𝑚+1.(3.2)

Let 𝐩𝐩=𝐩Π𝐩+Π𝐩𝐩=𝜂+𝜁,𝝈𝝈=𝝈Π𝝈+Π𝝈𝝈=𝜃+𝜉,𝑢𝑢=𝑢𝑅𝑢+𝑅𝑢𝑢=𝛼+𝛽.(3.3) Utilizing (2.3), (2.28), and auxiliary projections (3.1), (2.25), we can obtain the following error equations:𝜉𝑡𝑡,𝐪+𝜁,𝐪𝜃=𝑡,𝐪,𝐪𝐻,(3.4)𝜉,𝑣=𝛽,𝑣𝜃,𝑣,𝑣𝑉,(3.5)𝜁,𝐰𝑎𝑢𝜉𝑡,𝐰𝑏𝑢𝜉,𝐰=𝝈𝑡𝑢𝑎(𝑢)𝑎,𝐰+𝝈𝑢𝑏(𝑢)𝑏,𝐰+𝑎𝑢𝜃𝑡,𝐰+𝑏𝑢𝜃,𝐰𝜂,𝐰,𝐰𝐻.(3.6)

Theorem 3.1. Let (𝑢,𝝈,𝐩) and (𝑢,𝝈,𝐩) be the solutions to (2.3) and (2.28), respectively. Then the following error estimates hold: (𝑎)𝑢𝑢1𝐶min(𝑘+1,𝑚),(𝑏)𝝈𝝈𝐶min(𝑘,𝑚+1),(𝑐)𝑢𝑢+𝝈𝝈+𝐩𝐩𝐶min(𝑘+1,𝑚+1),(3.7) where 𝑘1 and 𝑚1 for 𝑑=2,3, and the positive constant 𝐶 depends on 𝑢𝑡𝐿(𝐻𝑚+1), 𝑢𝐿(𝐻𝑚+1), 𝐩𝑡𝐿(𝐻𝑘+1), 𝐩𝐿(𝐻𝑘+1), 𝝈𝑡𝐿(𝐻𝑘+1), 𝝈𝑡𝑡𝐿(𝐻𝑘+1), 𝝈𝐿(𝐻𝑘+1).

Proof. Since estimates of 𝜃, 𝜂, and 𝛼 can be obtained by (3.2) and (2.26), it suffices to estimate 𝜉, 𝜁, and 𝛽.
Instituting 𝐰=𝜉𝑡𝑡 into (3.6) and 𝐪=𝜁 in (3.4) gives 𝑎𝑢(𝜁,𝜁)+𝜉𝑡,𝜉𝑡𝑡+𝑏𝑢𝜉,𝜉𝑡𝑡𝝈=𝑡𝑎𝑢(𝑢)𝑎,𝜉𝑡𝑡𝝈𝑏𝑢(𝑢)𝑏,𝜉𝑡𝑡𝑎𝑢𝜃𝑡,𝜉𝑡𝑡𝑏𝑢𝜃,𝜉𝑡𝑡+𝜂,𝜉𝑡𝑡𝜃𝑡𝑡.,𝜁(3.8) It is easy to check that 𝑎𝑢𝜉𝑡𝑡,𝜉𝑡=12𝑑𝑎𝑢𝑑𝑡𝜉𝑡,𝜉𝑡12𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡,𝑏𝑢𝜉,𝜉𝑡𝑡=𝑑𝑏𝑢𝑑𝑡𝜉,𝜉𝑡𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡𝑏𝑢𝜉𝑡,𝜉𝑡,𝜂,𝜉𝑡𝑡=𝑑𝑑𝑡𝜂,𝜉𝑡𝜂𝑡,𝜉𝑡,𝝈𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡𝑡=𝑑𝝈𝑑𝑡𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡𝝈𝑡𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡𝝈𝑡𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢𝑢𝑢𝑡,𝜉𝑡,𝝈𝑢𝑏(𝑢)𝑏,𝜉𝑡𝑡=𝑑𝝈𝑢𝑑𝑡𝑏(𝑢)𝑏,𝜉𝑡𝝈𝑡𝑢𝑏(𝑢)𝑏,𝜉𝑡𝝈𝑏𝑢(𝑢)𝑢𝑡𝑏𝑢𝑢𝑢𝑡,𝜉𝑡,𝑎𝑢𝜃𝑡,𝜉𝑡𝑡=𝑑𝑎𝑢𝑑𝑡𝜃𝑡,𝜉𝑡𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝜉𝑡𝑎𝑢𝜃𝑡𝑡,𝜉𝑡,𝑏𝑢𝜃,𝜉𝑡𝑡=𝑑𝑏𝑢𝑑𝑡𝜃,𝜉𝑡𝑏𝑢𝑢𝑢𝑡𝜃,𝜉𝑡𝑏𝑢𝜃𝑡,𝜉𝑡.(3.9) Thus, (3.8) can be written as 1(𝜁,𝜁)+2𝑑𝑎𝑢𝑑𝑡𝜉𝑡,𝜉𝑡+𝑑𝑏𝑢𝑑𝑡𝜉,𝜉𝑡=12𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡+𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡+𝑏𝑢𝜉𝑡,𝜉𝑡𝜃𝑡𝑡+𝑑,𝜁𝑑𝑡𝜂,𝜉𝑡𝜂𝑡,𝜉𝑡𝑑𝝈𝑑𝑡𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡+𝝈𝑡𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡+𝝈𝑡𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢𝑢𝑢𝑡,𝜉𝑡𝑑𝝈𝑢𝑑𝑡𝑏(𝑢)𝑏,𝜉𝑡+𝝈𝑡𝑢𝑏(𝑢)𝑏,𝜉𝑡+𝝈𝑏𝑢(𝑢)𝑢𝑡𝑏𝑢𝑢𝑢𝑡,𝜉𝑡𝑑𝑎𝑢𝑑𝑡𝜃𝑡,𝜉𝑡+𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝜉𝑡+𝑎𝑢𝜃𝑡𝑡,𝜉𝑡𝑑𝑏𝑢𝑑𝑡𝜃,𝜉𝑡+𝑏𝑢𝑢𝑢𝑡𝜃,𝜉𝑡+𝑏𝑢𝜃𝑡,𝜉𝑡.(3.10) Integrating this system from 0 to 𝑡 yields 𝑡0𝜁21𝑑𝜏+2𝑎𝑢𝜉𝑡,𝜉𝑡+𝑏𝑢𝜉,𝜉𝑡=𝜂,𝜉𝑡𝝈𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡𝝈𝑢𝑏(𝑢)𝑏,𝜉𝑡𝑎𝑢𝜃𝑡,𝜉𝑡𝑏𝑢𝜃,𝜉𝑡+12𝑡0𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡𝑑𝜏+𝑡0𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡𝑑𝜏+𝑡0𝑏𝑢𝜉𝑡,𝜉𝑡𝑑𝜏𝑡0𝜃𝑡𝑡,𝜁𝑑𝜏𝑡0𝜂𝑡,𝜉𝑡𝑑𝜏+𝑡0𝝈𝑡𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡+𝑑𝜏𝑡0𝝈𝑡𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢𝑢𝑢𝑡,𝜉𝑡𝑑𝜏+𝑡0𝝈𝑡𝑏𝑢(𝑢)𝑏,𝜉𝑡+𝑑𝜏𝑡0𝝈𝑏𝑢(𝑢)𝑢𝑡𝑏𝑢𝑢𝑢𝑡,𝜉𝑡𝑑𝜏+𝑡0𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝜉𝑡+𝑑𝜏𝑡0𝑎𝑢𝜃𝑡𝑡,𝜉𝑡𝑑𝜏+𝑡0𝑏𝑢𝑢𝑢𝑡𝜃,𝜉𝑡𝑑𝜏+𝑡0𝑏𝑢𝜃𝑡,𝜉𝑡𝑑𝜏.(3.11) In what follows, we, respectively, analyze the terms on the right-hand side of (3.11). By the Cauchy-Schwartz inequality, we can bound the sixth term on the right-hand side of (3.11) as follows: ||||𝑡012𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡||||=1𝑑𝜏2||||𝑡0𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡𝑑𝜏+𝑡012𝑎𝑢𝑢𝑢𝑡𝑢𝑡𝜉𝑡,𝜉𝑡||||𝑑𝜏𝐶𝑡0𝜉𝑡2𝜉𝑑𝜏+𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2+𝜉𝑡2𝑑𝜏.(3.12) For the seventh term on the right-hand side of (3.11), one has ||||𝑡0𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡||||=||||𝑑𝜏𝑡0𝑏𝑢𝑢𝑢𝑡𝑢𝑡𝜉,𝜉𝑡+𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡||||𝑑𝜏𝐶𝑡0𝜉𝑡2+𝜉2𝜉𝑑𝜏+𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2+𝜉2𝑑𝜏.(3.13) For the term 𝑡0(𝝈𝑡(𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢(𝑢)𝑢𝑡),𝜉𝑡)𝑑𝜏 on the right side of (3.11), we have ||||𝑡0𝝈𝑡𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢𝑢𝑢𝑡,𝜉𝑡||||=||||𝑑𝜏𝑡0𝝈𝑡𝑎𝑢(𝑢)𝑎𝑢𝑢𝑢𝑡+𝑎𝑢𝑢𝑢𝑡𝑢𝑡,𝜉𝑡||||𝑑𝜏𝐶𝑡0𝛼2+𝛽2+𝛼𝑡2+𝛽𝑡2+𝜉𝑡2𝑑𝜏.(3.14) Similarly, ||||𝑡0𝝈𝑏𝑢(𝑢)𝑢𝑡𝑏𝑢𝑢𝑢𝑡,𝜉𝑡||||𝑑𝜏𝑡0||𝝈𝑏𝑢(𝑢)𝑏𝑢𝑢𝑢𝑡+𝑏𝑢𝑢𝑢𝑡𝑢𝑡,𝜉𝑡||𝑑𝜏𝐶𝑡0𝛼2+𝛽2+𝛼𝑡2+𝛽𝑡2+𝜉𝑡2||||𝑑𝜏,𝑡0𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝜉𝑡||||=||||𝑑𝜏𝑡0𝑎𝑢𝑢𝑢𝑡𝑢𝑡𝜃𝑡,𝜉𝑡𝑑𝜏+𝑡0𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝜉𝑡||||𝜉𝑑𝜏𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2+𝜃𝑡2𝑑𝜏+𝐶𝑡0𝜃𝑡2+𝜉𝑡2||||𝑑𝜏,𝑡0𝑏𝑢𝑢𝑢𝑡𝜃,𝜉𝑡||||𝑑𝜏𝑡0||𝑏𝑢𝑢𝑢𝑡𝑢𝑡𝜃,𝜉𝑡||𝑑𝜏+𝑡0||𝑏𝑢𝑢𝑢𝑡𝜃,𝜉𝑡||𝜉𝑑𝜏𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2+𝜃2𝑑𝜏+𝐶𝑡0𝜃2+𝜉𝑡2𝑑𝜏.(3.15)
Inserting (3.12)–(3.15) into (3.11) and using the Cauchy-Schwartz inequality lead to 𝑡0𝜁21𝑑𝜏+2𝑎𝑢𝜉𝑡,𝜉𝑡+𝑏𝑢𝜉,𝜉𝑡𝐶𝜂2+𝜉𝑡2+𝛼2+𝛽2+𝜃2+𝜃𝑡2+𝐶𝑡0𝜃𝑡𝑡2+𝜃𝑡2+𝜉𝑡2+𝜂𝑡2+𝛼2+𝛽2+𝜁2𝜉𝑑𝜏+𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2+𝜉𝑡2𝜉𝑑𝜏+𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝜃𝑡2+𝜃2+𝜉2𝑑𝜏+𝐶𝑡0𝜃𝑡2+𝜃2+𝜉2+𝜉𝑡2𝑑𝜏.(3.16) Integrating (3.16) from 0 to 𝑡, using the fact (𝑏(𝑢)𝜉,𝜉𝑡)=(1/2)(𝑑/𝑑𝑡)(𝑏(𝑢)𝜉,𝜉)(1/2)(𝑏𝑢(𝑢)𝑢𝑡𝜉,𝜉𝑡) and the inequality 𝑡0𝜏0||||𝜓(𝑠)2𝑑𝑠𝑑𝜏𝐶𝑡0||||𝜓(𝑠)2𝑑𝑠,(3.17) yields 𝜉2𝜉𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2+𝜉𝑡2𝜉𝑑𝜏+𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝜃𝑡2+𝜃2+𝜉2𝑑𝜏+𝐶𝑡0𝛼𝑡2+𝛽𝑡2+𝛼2+𝛽2+𝜃𝑡2+𝜃2+𝜃𝑡𝑡2+𝜂𝑡2+𝜉2+𝜉𝑡2+𝜁2𝑑𝜏.(3.18) Thus, to estimate 𝜉, we need to estimate 𝛽, 𝛽𝑡, 𝜁, and 𝜉𝑡. Taking 𝑣=𝛽 in (3.5) leads to (𝛽,𝛽)=(𝜉,𝛽)+(𝜃,𝛽).(3.19) By the Cauchy-Schwartz inequality, we obtain 𝛽𝐶(𝜉+𝜃).(3.20) Note that 𝛽𝑉𝐻10(Ω) and 𝛽𝐶𝛽. We further have 𝛽𝐶(𝜉+𝜃).(3.21) Differentiating (3.5) with respect to 𝑡 and choosing 𝑣=𝛽𝑡 gives 𝛽𝑡𝜉𝐶𝑡+𝜃𝑡.(3.22) Similarly, since 𝛽𝑉𝐻10(Ω), one has 𝛽𝑡𝛽𝑡𝐶(𝜉𝑡+𝜃𝑡).
Taking 𝐰=𝜁 in (3.6), one has 𝑎𝑢(𝜁,𝜁)=𝜉𝑡+𝑏𝑢,𝜁+𝝈𝜉,𝜁𝑡𝑎𝑢(𝑢)𝑎+𝝈𝑢,𝜁𝑏(𝑢)𝑏+𝑎𝑢,𝜁𝜃𝑡+𝑏𝑢,𝜁𝜃,𝜁(𝜂,𝜁).(3.23) By the Cauchy-Schwartz inequality, we obtain 𝜃𝜁𝐶𝜉+𝑡𝜉+𝜃+𝜂+𝛼+𝛽+𝑡.(3.24) To bound 𝜉𝑡2, we differentiate (3.6) with respect to 𝑡 to obtain 𝜁𝑡,𝐰𝑎𝑢𝜉𝑡𝑡,𝐰𝑏𝑢𝜉𝑡,𝐰=𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝐰+𝑏𝑢𝑢𝑢𝑡𝜉,𝐰+𝝈𝑡𝑡𝑎𝑢(𝑢)𝑎,𝐰+𝝈𝑡𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢𝑢𝑢𝑡,𝐰+𝝈𝑡𝑢𝑏(𝑢)𝑏,𝐰+𝝈𝑏𝑢(𝑢)𝑢𝑡𝑏𝑢𝑢𝑢𝑡,𝐰+𝑎𝑢𝜃𝑡𝑡,𝐰+𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝐰+𝑏𝑢𝜃𝑡,𝐰+𝑏𝑢𝑢𝑢𝑡𝜃,𝐰𝜂𝑡,𝐰,𝐰𝐻.(3.25) Testing (3.25) with 𝐰=𝜉𝑡𝑡 and (3.4) with 𝐪=𝜁𝑡 and combining the resulting equations together lead to 𝜁,𝜁𝑡+𝑎𝑢𝜉𝑡𝑡,𝜉𝑡𝑡+𝑏𝑢𝜉𝑡,𝜉𝑡𝑡𝑎=𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡𝑡𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡𝑡𝝈𝑡𝑡𝑎𝑢(𝑢)𝑎,𝜉𝑡𝑡𝝈𝑡𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢𝑢𝑢𝑡,𝜉𝑡𝑡𝝈𝑡𝑢𝑏(𝑢)𝑏,𝜉𝑡𝑡𝝈𝑏𝑢(𝑢)𝑢𝑡𝑏𝑢𝑢𝑢𝑡,𝜉𝑡𝑡𝑎𝑢𝜃𝑡𝑡,𝜉𝑡𝑡𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝜉𝑡𝑡𝜃𝑡,𝜁𝑡𝑏𝑢𝜃𝑡,𝜉𝑡𝑡𝑏𝑢𝑢𝑢𝑡𝜃,𝜉𝑡𝑡+𝜂𝑡,𝜉𝑡𝑡.(3.26) Note that 𝑏𝑢𝜉𝑡,𝜉𝑡𝑡=12𝑑𝑏𝑢𝑑𝑡𝜉𝑡,𝜉𝑡12𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡,𝜁,𝜁𝑡=12𝑑𝜃𝑑𝑡(𝜁,𝜁),𝑡,𝜁𝑡=𝑑𝜃𝑑𝑡𝑡𝜃,𝜁𝑡𝑡.,𝜁(3.27) Thus, (3.26) can be rewritten as 12𝑑𝑎𝑢𝑑𝑡(𝜁,𝜁)+𝜉𝑡𝑡,𝜉𝑡𝑡+12𝑑𝑏𝑢𝑑𝑡𝜉𝑡,𝜉𝑡𝑎=𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡𝑡12𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡𝑡𝝈𝑡𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡𝑡𝝈𝑡𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢𝑢𝑢𝑡,𝜉𝑡𝑡𝝈𝑡𝑏𝑢(𝑢)𝑏,𝜉𝑡𝑡𝝈𝑏𝑢(𝑢)𝑢𝑡𝑏𝑢𝑢𝑢𝑡,𝜉𝑡𝑡𝑎𝑢𝜃𝑡𝑡,𝜉𝑡𝑡𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝜉𝑡𝑡𝑑𝜃𝑑𝑡𝑡+𝜃,𝜁𝑡𝑡𝑏𝑢,𝜁𝜃𝑡,𝜉𝑡𝑡𝑏𝑢𝑢𝑢𝑡𝜃,𝜉𝑡𝑡+𝜂𝑡,𝜉𝑡𝑡.(3.28) Integrating (3.28) from 0 to 𝑡 yields (𝜁,𝜁)+𝑡0𝑎𝑢𝜉𝑡𝑡,𝜉𝑡𝑡+𝑏𝑢𝜉𝑡,𝜉𝑡=𝑡0𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡𝑡1𝑑𝜏2𝑡0𝑏𝑢𝑢𝑢𝑡𝜉,𝜉𝑡𝑡𝑑𝜏𝑡0𝝈𝑡𝑡𝑢𝑎(𝑢)𝑎,𝜉𝑡𝑡𝑑𝜏𝑡0𝝈𝑡𝑎𝑢(𝑢)𝑢𝑡𝑎𝑢𝑢𝑢𝑡,𝜉𝑡𝑡𝑑𝜏𝑡0𝝈𝑡𝑢𝑏(𝑢)𝑏,𝜉𝑡𝑡𝑑𝜏𝑡0𝝈𝑏𝑢(𝑢)𝑢𝑡𝑏𝑢𝑢𝑢𝑡,𝜉𝑡𝑡𝑑𝜏𝑡0𝑎𝑢𝜃𝑡𝑡,𝜉𝑡𝑡𝑑𝜏𝑡0𝑎𝑢𝑢𝑢𝑡𝜃𝑡,𝜉𝑡𝑡𝜃𝑑𝜏𝑡+,𝜁𝑡0𝜃𝑡𝑡,𝜁𝑑𝜏𝑡0𝑏𝑢𝜃𝑡,𝜉𝑡𝑡𝑑𝜏𝑡0𝑏𝑢𝑢𝑢𝑡𝜃,𝜉𝑡𝑡𝑑𝜏+𝑡0𝜂𝑡,𝜉𝑡𝑡𝑑𝜏.(3.29)
For the first term on the right-hand side of (3.29), by the Cauchy-Schwarz inequality and Young's inequality, for sufficiently small constant 𝜀>0, it holds that ||||𝑡0𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡𝑡||||||||𝑑𝜏𝑡0𝑎𝑢𝑢𝑢𝑡𝑢𝑡𝜉𝑡,𝜉𝑡𝑡||||+||||𝑑𝜏𝑡0𝑎𝑢𝑢𝑢𝑡𝜉𝑡,𝜉𝑡𝑡||||𝜉𝑑𝜏𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2𝑑𝜏+𝐶𝑡0𝜉𝑡2𝜉𝑑𝜏+𝜀1+𝑡𝐿(0,𝑡;𝐿)𝑡0𝜉𝑡𝑡2𝑑𝜏.(3.30) Similarly, we can bound (3.29) as follows: 𝜁2+𝜉𝑡2+𝑡0𝜉𝑡𝑡2𝜉𝑑𝜏𝐶𝑡𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2𝜉𝑑𝜏+𝜀1+𝑡𝐿(0,𝑡;𝐿)𝑡0𝜉𝑡𝑡2𝑑𝜏+𝐶𝜉𝐿(0,𝑡;𝐿)𝑡0𝛼𝑡2+𝛽𝑡2𝑑𝜏+𝜀1+𝜉𝐿(0,𝑡;𝐿)𝑡0𝜉𝑡𝑡2𝑑𝜏+𝐶𝑡0𝜉2+𝜁2+𝜃𝑡𝑡2+𝜃𝑡2+𝜃2+𝛼2+𝛼𝑡2+𝛽2+𝛽𝑡2+𝜂𝑡2+𝜉𝑡2+𝜃𝑑𝜏𝑡𝜁.(3.31) In the following error analysis, we make an induction hypothesis: 𝜉𝑡𝐿(0,𝑡;𝐿)+𝜉𝐿(0,𝑡;𝐿)1.(3.32) Utilizing (3.32), (3.24), (3.22), (3.21), and Young's inequality, one can reduce (3.31) to 𝜁2+𝜉𝑡2𝐶𝜉2+𝜃𝑡2+𝜃2+𝛼2+𝜂2+𝐶𝑡0𝜉2+𝜃𝑡𝑡2+𝜃𝑡2+𝜃2+𝛼2+𝛼t2+𝜂𝑡2+𝜉𝑡2𝑑𝜏.(3.33) Then by Gronwall's inequality, we obtain 𝜁2+𝜉𝑡2𝐶𝜉2+𝜃𝑡2+𝜃2+𝛼2+𝜂2+𝐶𝑡0𝜉2+𝜃𝑡𝑡2+𝜃𝑡2+𝜃2+𝛼2+𝛼𝑡2+𝜂𝑡2𝑑𝜏.(3.34) Furthermore, by (3.24) and (3.34), one has 𝜁2𝐶𝜉2+𝜃𝑡2+𝜃2+𝛼2+𝜂2+𝐶𝑡0𝜉2+𝜃𝑡𝑡2+𝜃𝑡2+𝜃2+𝛼2+𝛼𝑡2+𝜂𝑡2𝑑𝜏.(3.35) Therefore, by the estimates of 𝛽, 𝛽𝑡, 𝜁, and 𝜉𝑡, it follows that 𝜉2𝐶𝑡0𝜉2+𝜃𝑡𝑡2+𝜃𝑡2+𝜃2+𝛼2+𝛼𝑡2+𝜂2+𝜂𝑡2𝑑𝜏.(3.36) Applying Gronwall's inequality to the above equation and using the estimates of projection operators give 𝜉2𝐶𝑡0𝜃𝑡𝑡2+𝜃𝑡2+𝜃2+𝛼2+𝛼𝑡2+𝜂2+𝜂𝑡2𝑑𝜏𝐶min(2𝑘+2,2𝑚+2)𝑢𝑡2𝐿𝐻𝑚+1+𝑢2𝐿𝐻𝑚+1+𝐩𝑡2𝐿𝐻𝑘+1+𝐩2𝐿(𝐻𝑘+1)+𝝈𝑡2𝐿(𝐻𝑘+1)+𝝈𝑡𝑡2𝐿(𝐻𝑘+1)+𝝈2𝐿𝐻𝑘+1.(3.37) Inserting the estimate of 𝜉 into (3.34) yields 𝜉𝑡2𝐶min(2𝑘+2,2𝑚+2).(3.38) Thus, the estimates of 𝛽 and 𝜁 follow from the estimate of 𝜉.
Finally, according to the proof of the induction hypothesis in [23, 30], we can prove that the inductive hypothesis (3.32) holds. In fact, when 𝑡=0, then 𝜉(0)=0, 𝜉𝑡(0)=0. Note that 𝜉𝐿(0,𝑡;𝐿)+𝜉𝑡𝐿(0,𝑡;𝐿) is continuous w.r.t. 𝑡. Then, we conclude that there exists 𝑡1(0,𝑇] such that 𝜉𝐿(0,𝑡1;𝐿)+𝜉𝑡𝐿(0,𝑡1;𝐿)1.(3.39) Set 𝑡=sup𝑡1. Thus, 𝜉𝐿(0,𝑡;𝐿)+𝜉𝑡𝐿(0,𝑡;𝐿)1. Therefore, we have 𝜉𝑡+𝜉𝑡𝑡𝐶min(𝑘+1,𝑚+1).(3.40)
By inverse estimates, we deduce that, for any 0𝑡𝑡, it holds that 𝜉𝐿(0,𝑡;𝐿)+𝜉𝑡𝐿(0,𝑡;𝐿)𝐶min(𝑘+1,𝑚+1)𝑑/2.(3.41) Then we can take >0 sufficiently small such that 𝜉𝐿(0,𝑡;𝐿)+𝜉𝑡𝐿(0,𝑡;𝐿)<1.(3.42) Again, by the continuity of 𝜉𝐿(0,𝑡;𝐿)+𝜉𝑡𝐿(0,𝑡;𝐿), we conclude that there exists a positive constant 𝛿 such that 𝜉𝐿(0,𝑡+𝛿;𝐿)+𝜉𝑡𝐿(0,𝑡+𝛿;𝐿)1,(3.43) which contracts to the definition of 𝑡. This completes the proof of the induction hypothesis.
Combining (3.21), (3.37), (3.2), (2.26), (2.27) with the estimates of auxiliary projections and utilizing the triangle inequality, we can derive the desired result.

Remark 3.2. By Theorem 3.1 and the standard embedding theorem, we can obtain the 𝐿 estimate for 𝑑=1 and 2 as follows: 𝑢𝑢𝐿(𝐿)𝐶2||||ln𝑑1min(𝑘+1,𝑚+1).(3.44)

4. Conclusion

In this paper, 𝐻1-Galerkin mixed finite element method combining with expanded mixed element method is discussed for nonlinear viscoelasticity equations. This method solves the scalar unknown, its gradient, and its flux, directly. It is suitable for the case that the coefficient of the differential is a small tensor and does not need to be inverted. Furthermore, the formulation permits the use of standard continuous and piecewise (linear and higher-order) polynomials in contrast to continuously differentiable piecewise polynomials required by the standard 𝐻1-Galerkin methods and is free of the LBB condition which is required by the mixed finite element methods.

There are also some important issues to be addressed in the area; for example, one can consider numerical implementation and mathematical and numerical analysis of the full discrete procedure. This is an important and challenging topic in the future research.

Acknowledgments

This project is supported by the Natural Science Foundation of China (Grant no. 11171180, 10901096), the Shandong Provincial Natural Science Foundation (Grant no. ZR2009AL019), the Shandong Provincial Higher Educational Science and Technology Program (Grant no. J09LA53), and the Shandong Provincial Young Scientist Foundation (Grant no. 2008BS01008).