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A posteriori error estimates of mixed finite element solutions for fourth order parabolic control problems
Journal of Inequalities and Applications volume 2015, Article number: 240 (2015)
Abstract
In this paper, a fourth order quadratic parabolic optimal control problem is analyzed. The state and co-state are discretized by the order k Raviart-Thomas mixed finite element spaces, and the control is approximated by piecewise polynomials of order k (\(k\geq 0\)). At last, the results of a posteriori error estimates are given in Lemma 2.1 by using mixed elliptic reconstruction methods.
1 Introduction
It is known that optimal control problems governed by partial differential equations (PDEs, for short) play a great role in modern science, technology, engineering and so on. There has been extensive theoretical research for finite element approximation of various optimal control problems (see, e.g., [1–12]), and some scholars have been paying much attention to the mixed finite element methods for PDEs (see, e.g., [13–21]). As a matter of fact, the fourth PDEs of this method is always a hot special topic. For example, in 1978 (see [22]), Brezzi and Raviart studied fourth order elliptic equations by mixed element methods. In [13], Brezzi and Fortin presented some results on the application of the mixed finite element methods to linear elliptic problems. In [23], Li developed mixed finite element methods for solving fourth-order elliptic and parabolic problems by using RBFs and gave similar error estimates as classical mixed finite element methods. Several recent works have been devoted to the analysis of this field for the error estimates, for example, Cao and Yang got the a priori error estimates using Ciarlet-Raviart mixed finite element methods for the fourth order control problems governed by the first bi-harmonic equation (see [24]). Hou studied a class of fourth order quadratic elliptic optimal control problems, where the state and co-state are approximated by the order k Raviart-Thomas mixed finite element spaces and the control variable is approximated by piecewise polynomials of order k (\(k\geq1\)), and he derived a posteriori error estimates for both the control and the state approximations (see [25]). Although the error analysis for the finite element discretization of optimal control problems for the fourth order PDEs is discussed in many publications, there are only a few published results on this topic for parabolic problems. Therefore, we will study the error estimates using mixed finite element for the fourth order parabolic optimal control problems.
This paper is organized as follows. Firstly, we discuss the semi-discrete mixed finite element approximation for the fourth order parabolic optimal control problem in Section 2. Next, a posteriori error estimates of mixed finite element approximation for the control problem are given in Section 3. Finally, we analyze the conclusion and future work in Section 4.
2 Mixed methods for optimal control problem
In the paper, we adopt the standard notation \(W^{m,p}(\Omega)\) for Sobolev spaces on Ω with a norm \(\|\cdot\|_{m,p}\) given by
a semi-norm \(|\cdot|_{m,p}\) given by
For \(p=2\), we denote \(H^{m}(\Omega)=W^{m,2}(\Omega)\), and \(\|\cdot\|_{m}=\|\cdot\|_{m,2}\), \(\|\cdot\|=\|\cdot\|_{0,2}\).
For the sake of simplicity, we take \(V=H(\operatorname{div};\Omega)=\{v\in (L^{2}(\Omega))^{2},\operatorname{div}v\in L^{2}(\Omega)\}\) and \(W=L^{2}(\Omega)\), the Hilbert space V is defined by the following norm:
In this paper, the model problem that we shall investigate is the following two-dimensional optimal control problem:
subject to the state equations
where the bounded open set \(\Omega\subset\mathbb{R}^{2}\) is a convex polygon with the bounded ∂Ω, \(J=[0,T]\). \(y_{d}\) is continuously differentiable with respect to t; moreover, \(f,y_{d} \in L^{2}(J;W)\). We let \(U_{\mathrm{ad}}\) denote the admissible set of the control variable, which is defined by
We denote by \(L^{s}(0,T;W^{m,q}(\Omega))\) the Banach space of all \(L^{s}\) integrable functions from \((0,T)\) into \(W^{m,q}(\Omega)\) with the norm
and the standard modification for \(s=\infty\). Similarly, one can define the spaces \(H^{k}(0,T; W^{m,q}(\Omega))\) and \(C^{k}(0,T;W^{m,q}(\Omega))\).
Throughout this paper, \((\cdot , \cdot)\) denotes the inner product in \(L^{2}(\Omega)\), the form is as follows:
Let \(\tilde{p}=-\nabla y\) and \(\tilde{y}=-\Delta y\), then we can rewrite (2.1)-(2.5) as
subject to
Then a possible weak formula for the state equation reads: find \((p,\tilde{y},\tilde{p},y,u)\in(V\times W)^{2}\times U_{\mathrm{ad}}\) such that
subject to
It is well known (see [26]) that the above control problem has a unique solution \((p,\tilde{y},\tilde{p},y,u)\in(V\times W)^{2}\times U_{\mathrm{ad}}\), and that \((p,\tilde{y},\tilde{p},y,u)\) is the solution of (2.16)-(2.21) if and only if there exists a co-state \((q,\tilde{z},\tilde{q},z)\in(V\times W)^{2}\) such that \((p,\tilde{y},\tilde{p},y,q,\tilde{z},\tilde{q},z,u)\) satisfies the following optimal conditions for \(t \in J\):
In order to derive our final aim, we now give the following important result (see [27]).
Lemma 2.1
[27]
Let \((p,\tilde{y},\tilde{p},y,q,\tilde{z},\tilde{q},z,u)\) be the solution of (2.22)-(2.33), then we have the relation
where \(\bar{z}=\frac{\int_{0}^{T}\int_{\Omega}z\, dx\, dt}{\int_{0}^{T}\int_{\Omega}1\, dx\, dt} \) denotes the integral average on \(\Omega\times J\) of the function z.
In the following, we will consider the semi-discrete finite element for the problem.
Let \({\mathcal{T}}^{h}\) denote a regular triangulation of the polygonal domain Ω, \({\mathcal{T}}^{h}=\{T_{i}\}\), here h is the maximum diameter of the element \(T_{i}\) in \({\mathcal{T}}^{h}\). Moreover, let \(e_{h}\) denote the set of element sides of the triangulation \({\mathcal{T}}^{h}\) with \(E_{h}=\bigcup e_{h}\). Furthermore, let \(V_{h}\times W_{h}\subset V\times W\) be the Raviart-Thomas space (see [28]) associated with the triangulations \({\mathcal{T}}^{h}\) of Ω. \(P_{k}\) denotes the space of polynomials of total degree at most k (\(k\geq0\)). Let \(V(T_{i})=\{v\in P_{k}^{2}(T_{i})+x\cdot P_{k}(T_{i})\}\), \(W(T_{i})=P_{k}(T_{i})\), and we define
The mixed finite element discretization of (2.15)-(2.21) is rewritten as follows: find \((p_{h},\tilde{y}_{h},\tilde{p}_{h},y_{h}, u_{h})\in(L^{2}(J;V_{h})\times L^{2}(J;W_{h}))^{2}\times K_{h}\) such that
where \(y_{0}^{h}(x)\in W_{h}\) and \(y_{1}^{h}(x)\in W_{h}\) are two approximations of \(y_{0}\) and \(y_{1}\). The above optimal control problem again has a unique solution \((p_{h},\tilde{y}_{h},\tilde{p}_{h},y_{h},u_{h})\), and that \((p_{h},\tilde{y}_{h},\tilde{p}_{h},y_{h},u_{h})\) is the solution of (2.35)-(2.40) if and only if there is a co-state \((q_{h},\tilde{z}_{h},\tilde{q}_{h},z_{h})\in(L^{2}(J;V_{h})\times L^{2}(J;W_{h}))^{2}\) such that \((p_{h},\tilde{y}_{h},\tilde{p}_{h},y_{h},q_{h},\tilde{z}_{h},\tilde{q}_{h},z_{h})\) satisfies the following optimality conditions:
Similar to Lemma 2.1, we can get the relationship between the control approximation \(u_{h}\) and the co-state approximation \(z_{h}\), which satisfies
where \(\bar{z}_{h}=\frac{\int_{0}^{T}\int_{\Omega}z_{h}\, dx\, dt}{\int_{0}^{T}\int_{\Omega}1\, dx\, dt}\) denotes the integral average on \(\Omega\times J\) of the function \(z_{h}\).
In order to continue our analysis, we shall introduce some intermediate variables. For any control function \(u_{h}\in K_{h}\), we define the state solution \(p(u_{h})\), \(\tilde{y}(u_{h})\), \(\tilde{p}(u_{h})\), \(y(u_{h})\), \(q(u_{h})\), \(\tilde {z}(u_{h})\), \(\tilde{q}(u_{h})\), \(z(u_{h})\) satisfying
where the exact solutions \(y(u_{h})\) and \(z(u_{h})\) satisfy the zero boundary condition.
Now we define the following errors:
Next, from (2.41)-(2.50), (2.53)-(2.62), we can get the error equations as follows:
where \(r_{1}\)-\(r_{8}\) are given as follows:
Then, we introduce mixed elliptic reconstructions \(\check {y}(t),\hat{y}(t),\check{z}(t),\hat{z}(t)\in H_{0}^{1}(\Omega)\) and \(\check{p}(t),\hat{p}(t), \check{p}(t),\hat{p}(t)\in V\) of \(\tilde{y}_{h}(t)\), \(y_{h}(t)\), \(\tilde{z}_{h}(t)\), \(z_{h}(t)\) and \(\tilde{p}_{h}(t)\), \(p_{h}(t)\), \(\tilde{q}_{h}(t)\), \(q_{h}(t)\) for \(t\in J\), respectively. For given functions \(\tilde{y}_{h}\), \(y_{h}\), \(\tilde{z}_{h}\), \(z_{h}\), \(\tilde{p}_{h}\), \(p_{h}\), \(\tilde{q}_{h}\), \(q_{h}\), let \(\check{y}(t),\hat{y}(t),\check{z}(t),\hat{z}(t)\in H_{0}^{1}(\Omega)\) and \(\check{p}(t),\hat{p}(t),\check{p}(t),\hat{p}(t)\in V\) satisfy the following equations:
We can derive \(r_{1}(v_{h})=r_{3}(v_{h})=r_{5}(v_{h})=r_{7}(v_{h})\), \(\forall v_{h}\in V_{h}\), and \(r_{2}(w_{h})=r_{4}(w_{h})=r_{6}(w_{h})=r_{8}(w_{h})\), \(\forall w_{h}\in W_{h}\), we note that \(p_{h}\), \(\tilde{y}_{h}\), \(\tilde{p}_{h}\), \(y_{h}\) are standard mixed elliptic projections of \(\hat{p}\), \(\check{y}\), \(\check{p}\), \(\hat{y}\), respectively, \(q_{h}\), \(\tilde{z}_{h}\), \(\tilde{q}_{h}\), \(z_{h}\) are nonstandard mixed elliptic projections of \(\hat{q}\), \(\check{z}\), \(\check{q}\), \(\hat{z}\).
We can define as follows by mixed elliptic reconstructions:
Next, we will give some preliminary results about the intermediate solution. We define the standard \(L^{2}\)-orthogonal projection \(P_{h}: W\rightarrow W_{h}\) which satisfies: for any \(w \in W\),
Recall the Fortin projection (see [22] and [28]) \(\Pi_{h}: V\rightarrow V_{h}\), which satisfies: for any \(v \in V\),
We have the commuting properties
where I denotes an identity operator.
3 A posteriori error estimates
In this section, we give some lemmas to prepare for our results, and then we give a posteriori estimates for the mixed finite element approximation to the fourth order parabolic optimal control problems. Let \((p,\tilde{y},\tilde{p},y,q,\tilde{z},\tilde{q},z,u)\) and \((p_{h},\tilde{y}_{h}, \tilde{p}_{h},y_{h},q_{h},\tilde{z}_{h},\tilde{q}_{h},z_{h},u_{h})\) be the solutions of (2.22)-(2.33) and (2.41)-(2.52), respectively. Now we decompose the errors as the following forms:
From (2.22)-(2.25), (2.53)-(2.56) and (2.59)-(2.62), we can get the error equations as follows:
Lemma 3.1
Let \(r_{p}\), \(r_{\tilde{y}}\), \(r_{\tilde{p}}\), \(r_{y}\), \(r_{q}\), \(r_{\tilde{z}}\), \(r_{\tilde{q}}\), \(r_{z}\) satisfy (3.1)-(3.8), then there exists a constant \(C>0\) independent of h such that
Proof
Part I. Let \(t=0\) and \(v=r_{\tilde{p}}(0)\) in (3.1), since \(r_{y}(0)=0\), so we find that \(r_{\tilde{p}}=0\). Differentiate (3.1) with respect to t, and set \(v=r_{p}\) as the test function, then we have
Then, let \(v=r_{\tilde{p},t}\) in (3.3), and from \(\operatorname{div}r_{\tilde{p}}=r_{\tilde{y}}\), we get that
Now we set \(w=\operatorname{div}r_{p}\) in (3.4), we derive that
the above equation can be rewritten as follows:
We integrate the above inequality from 0 to T and note \(r_{\tilde{y}}(0)=0\), then we get
Set \(v=r_{p}\) and \(v=r_{\tilde{p}}\) as the test functions in (3.1) and (3.3), respectively, we have
Then, let \(w=r_{y}\) in (3.4) and combine with (3.15), we derive that
which leads to
On integrating the above inequality from 0 to t, using Gronwall’s lemma and noting \(r_{y}(0)=0\), we can get
In (3.13), let \(v=r_{p}\), we have
Integrating the above equation with respect to time from 0 to T, combining with (3.14) and (3.16), we arrive at
Let \(v=r_{\tilde{p}}\), so we have
we can get the following inequality from the above equation:
Integrating the above inequality again from 0 to T and noticing (3.16), we can obtain
By (3.14), (3.16)-(3.18), we derive (3.9).
Part II. Choosing \(v=r_{q}\) in (3.5) and \(v=r_{\tilde{q}}\) in (3.7), respectively, we obtain
Let \(v=r_{\tilde{q}}\) in (3.1), we have
Set \(w=r_{z}\) in (3.8), we arrive at
Now from (3.19)-(3.21) we can get that
Then, set \(w=\operatorname{div}r_{\tilde{q}}\) in (3.6) and combine with (3.22), we obtain
which leads to
Integrating the above equation with respect to time from t to T, using Gronwall’s lemma and (3.9), noting \(r_{z}(T)=0\), we can derive that
Let \(v=r_{\tilde{q}}\) in (3.5), we get
We integrate the above equation from 0 to T and notice (3.14), then we can obtain that
Let \(w=r_{\tilde{z}}\) in (3.6), so we arrive at
the above equation can be rewritten as follows:
We integrate the above equation from 0 to T, and from (3.9), (3.23), we have
Set \(v=r_{q}\) in (3.7), it yields that
then we have
Let \(w=\operatorname{div}r_{q}\) in (3.8), we have
it also can be restated as
where it leads to
Now set \(w=r_{z,t}\) in (3.8), we get that
we can rewrite the above equation as follows:
From (3.26)-(3.28), we can obtain that
Combining (3.29) with (3.23)-(3.25), we complete the result of (3.10). □
Lemma 3.2
Let \((p,\tilde{y},\tilde{p},y,q,\tilde{z},\tilde{q},z,u)\) and \((p_{h},\tilde{y}_{h}, \tilde{p}_{h},y_{h},q_{h},\tilde{z}_{h},\tilde{q}_{h},z_{h},u_{h})\) be the solutions of (2.22)-(2.33) and (2.41)-(2.52), respectively. Suppose \((u_{h}+z_{h})|_{T_{i}}\in H^{1}(T_{i})\) and that there exists \(w\in K_{h}\) such that
Then we have
where \(\eta_{u}= (\int_{0}^{{T}}\sum_{T_{i}}h^{2}_{T_{i}} |u_{h}+z_{h} |^{2}_{H^{1}(T_{i})}\, dt )^{\frac{1}{2}}\).
Proof
From (2.33), (2.52) and (3.10), we derive that
where δ denotes an arbitrary small positive number, \(C(\delta)\) is dependent on \(\delta^{-1}\). By using (3.31), we can easily obtain (3.30). □
Lemma 3.3
Let \(\check{y}(t)\), \(\hat{y}(t)\), \(\check{z}(t)\), \(\hat{z}(t)\), \(\check{p}(t)\), \(\hat{p}(t)\), \(\check{q}(t)\), \(\hat{q}(t)\) satisfy (2.72)-(2.79). Then we can derive the following properties:
Using (2.72)-(2.79) in (2.64)-(2.71), we obtain the following error equations:
Lemma 3.4
Let \(\xi_{y}\), \(\xi_{\tilde{y}}\), \(\xi_{p}\), \(\xi_{\tilde{p}}\), \(\xi_{z}\), \(\xi_{\tilde {z}}\), \(\xi_{q}\), \(\xi_{\tilde{q}}\) satisfy (3.32)-(3.39). Then we have the error estimates as follows:
Proof
First of all, we differentiate equation (3.32) with respect to t and derive
Set \(v=\xi_{\tilde{p},t}\) in (3.34) as the test function, and from \(\operatorname{div}\xi_{\tilde{p}}=\xi_{\tilde{y}}\), we obtain
Choose \(w=\operatorname{div}\xi_{p}\) in (3.35) as the test function, we have
it can also be read as
Integrating the above equation with respect to time from 0 to t, we have
Set \(v=\xi_{p}\) and \(v=\xi_{\tilde{p}}\) as the test functions in (3.32) and (3.34), respectively, and note that \(\operatorname{div}\xi_{\tilde{p}}=\xi_{\tilde{y}}\), we have
Choose \(w=\xi_{y}\) in (3.35), by using (3.48), we obtain
it can be rewritten as
On integrating the above inequality with respect from 0 to t and using Gronwall’s lemma, it reduces to
Let \(v=\xi_{p}\) in (3.34), we have
integrate it from 0 to T, and from (3.47)-(3.49), we get
it also means that
Choose \(v=\xi_{\tilde{p}}\) in (3.32), we derive
which leads to
Integrate the above inequality from 0 to T, using (3.49), we can see that
and notice that
From (3.47) and (3.49)-(3.51), then (3.40)-(3.42) is proved.
Choose \(v=\xi_{q}\) and \(v=\xi_{\tilde{q}}\) as the test functions in (3.36) and (3.38), respectively, we get
Let \(v=\xi_{\tilde{q}}\) in (3.32), we have
Set \(w=\xi_{z}\) in (3.39), we obtain
Set \(w=\operatorname{div}\xi_{\tilde{q}}\) in (3.37) and combine with (3.56), we can find that
the above equality is equivalent to
Integrating this inequality from t to T and using Gronwall’s lemma, we have
Choose \(v=\xi_{\tilde{q}}\) in (3.36), we get
integrating the two sides from 0 to T and using (3.57), we obtain
Let \(w=\xi_{\tilde{z}}\) in (3.37), we derive
namely,
Integrating the two sides from 0 to T again and using (3.40) and (3.57), we get
Let \(v=\xi_{q}\) in (3.38), we get
it can be read as
Set \(w=\operatorname{div}\xi_{q}\) in (3.39), we can see that
which equals
Choose \(w=\xi_{z,t}\) in (3.39), we have
From inequality (3.60), we deduce that
Due to (3.51), (3.59)-(3.62), we can give that
Note that \(e_{z}+\xi_{z}=\eta_{z}\), from (3.57)-(3.59) and (3.63), we obtain the results (3.42) and (3.43). □
Lemma 3.5
Considering Raviart-Thomas elements, there exists a positive constant C, which is in relation to the domain Ω, polynomial degree k and the shape regularity of the elements, such that
where \(J(v\cdot t)\) expresses the jump of \(v\cdot t\) across the element edge Γ with the time t being the tangential unit vector along the edge \(\Gamma\in E_{h}\) for all \(v\in V\).
Proof
First of all, we must refer to [29] and [30], based on which we can obtain a posteriori error estimates for \(\eta_{y}\), \(\eta_{y,t}\), \(\eta_{\tilde{y}}\), \(\eta_{p}\), \(\eta_{\tilde{p}}\), \(\eta_{q}\), \(\eta_{\tilde{q}}\), \(\eta_{z}\), \(\eta_{\tilde{z}}\). We only give the proof of \(L^{2}\)-norm estimate of \(\eta_{\tilde{z}}\) for simplicity. Now, with the help of Aubin-Nitsche duality arguments, we think about \(\Phi\in H_{0}^{1}(\Omega)\cap H^{2}(\Omega)\) as the following elliptic problem:
which satisfies the elliptic regularity result as follows:
Exploiting (2.49), (2.79), (3.73) and the definition of \(\Pi_{h}\), furthermore, noting that \(\hat{q}+\check{p}=-\nabla\check{z}\) in Lemma 3.3 and the equation of \((\nabla_{h}w_{h},(I-\Pi_{h})(\Delta\Phi))=0\), we gain
Combining (3.75) with (3.74), we can derive that
Next, taking supremum over Ψ, we should get estimate (3.72). Using a similar method, we can obtain the other estimates of Lemma 3.5 at last. □
Now, by the aid of Lemmas 3.1-3.5, we can obtain the final result.
Theorem 3.1
Let \((p,\tilde{y},\tilde{p},y,q,\tilde{z},\tilde{q},z,u)\) and \((p_{h},\tilde{y}_{h}, \tilde{p}_{h},y_{h},q_{h},\tilde{z}_{h},\tilde{q}_{h},z_{h},u_{h})\) be the solutions of (2.22)-(2.33) and (2.41)-(2.52), respectively. Then, for \(\forall t\in J\), the following a posteriori estimates hold true:
where \(\eta_{u}\) is introduced in Lemma 3.2, and \(\eta_{y}\), \(\eta_{y,t}\), \(\eta_{\tilde{y}}\), \(\eta_{p}\), \(\eta_{\tilde{p}}\), \(\eta_{q}\), \(\eta_{\tilde{q}}\), \(\eta_{z}\), \(\eta_{\tilde{z}}\) are given in Lemma 3.5.
4 Conclusion and future works
In this paper we discuss the semi-discrete mixed finite element methods of the fourth order quadratic parabolic optimal control problems. We have established a posteriori error estimates for both the state, the co-state and the control variables. The a posteriori error estimates for those problems by finite element methods seem to be new.
In our future work, we shall use the mixed finite element method to deal with fourth order hyperbolic optimal control problems. Furthermore, we shall consider a posteriori error estimates and superconvergence of mixed finite element solution for fourth order hyperbolic optimal control problems.
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Acknowledgements
The authors express their thanks to the referees for their helpful suggestions, which led to improvements of the presentation. This work is supported by the Foundation for Talent Introduction of Guangdong Provincial University, Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2008), National Science Foundation of China (10971074, 11201510), Chongqing Research Program of Basic Research and Frontier Technology (cstc2015jcyjA1193), Scientific and Technological Research Program of Chongqing Municipal Education Commission and Science and Technology Project of Wanzhou District of Chongqing (2013030050).
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CH, YC and ZL participated in the sequence alignment and drafted the manuscript. All authors read and approved the final manuscript.
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Hou, C., Chen, Y. & Lu, Z. A posteriori error estimates of mixed finite element solutions for fourth order parabolic control problems. J Inequal Appl 2015, 240 (2015). https://doi.org/10.1186/s13660-015-0762-9
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DOI: https://doi.org/10.1186/s13660-015-0762-9