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\(L^{\infty}\)-error estimate of a generalized parallel Schwarz algorithm for elliptic quasi-variational inequalities related to impulse control problem
Journal of Inequalities and Applications volume 2023, Article number: 8 (2023)
Abstract
The generalized Schwarz algorithm for a class of elliptic quasi-variational inequalities related to impulse control problems is studied in this paper. The principal result is to prove the error estimate in \(L^{\infty}\)-norm for m subdomains with overlapping nonmatching grids. This approach combines the geometrical convergence and the uniform convergence.
1 Introduction
In the present paper, we are concerned with the \(L^{\infty}\)-convergence of the standard finite-element approximation for the impulse control problem associated with the elliptic quasi-variational inequality (QVI):
Here, f is a right hande side in \(L^{\infty}(\Omega )\), such that \(f\geq 0\), \(K_{g}(u)\) is the implicit convex set defined by
where Ω is a bounded convex domain of \(\mathbb{R}^{N}\) with suffciently smooth boundary ∂Ω and M is a nonlinear operator from \(L^{\infty}(\Omega )\) into itself defined by
The function Mu is called the obstacle of impulse control, see [1].
(⋅,⋅) is the scalar product in \(L^{2}(\Omega )\), and \(a(\cdot,\cdot)\) is the bilinear form assumed to be continuous and strongly coercive
Let \(V_{h}\) be the finite-element space consisting of continuous piecewise-linear functions and \(r_{h}\) be the usual interpolation operator. We define the discrete counterpart of (1.1) by
where
The existence, uniqueness and regularity of the continuous solution{(1.1) and the discrete solution (1.5)} have been studied and established in the past years (see [1]).
Naturally, the structure of problem (1.1) is analogous to that of the classical obstacle problem where the obstacle is replaced by an implicit one depending upon the solution sought. The terminology “quasivariational inequality” being chosen is a result of this remark. This QVI arises in impulse-control problems: an introduction to impulse control with numerous examples and applications can be found in [1].
To estimate an error of the solution, we apply the generalized parallel Schwarz algorithm. We consider a domain that is the union of m overlapping subdomains where each subdomain has its own generated triangulation, under a discrete maximum principle [7], we show that the discretization on each subdomain converges quasioptimally in the \(L^{\infty}\)-norm. This approach has already been proved for variational and quasivariational inequalities when the domain was split into two subdomains using the alternating Schwarz algorithm we refer the reader to [2, 3, 6, 8–10]
The paper consists of two parts. In the first we show the monotonicity and stability properties of the discrete solution, then we state the continuous and the discrete Schwarz sequence for quasivariational inequalities and define their respective finite-element counterparts in the context of overlapping nonmatching grids in the second part we prove a fundamental lemma for m auxiliary sequences and we establish a main result concerning the error estimate of solution in \(L^{\infty}\)-norm, taking into account the combination of geometrical convergence and the error estimate of Cortey-Dumont [5].
2 Schwarz algorithm for quasivariational inequalities
2.1 Assumptions and notations
Let \(u_{h}\) be the discrete solution of QVI
and let \(\tilde{u}_{h}\) be the discrete solution of QVI
where g̃ is a regular function defined on ∂Ω.
Let us write \(\sigma _{h}(g,M u_{h})\) the solution of the problem (2.1), where \(\sigma _{h}\) is a mapping \(L^{\infty}(\Omega )\) into itself. We establish the monotonicity and stability properties of the solution.
Lemma 2.1
Let g and g̃ be two given functions and \(u_{h}=\sigma _{h}(g,M u_{h})\), \(\tilde{u}_{h}=\sigma _{h}(\tilde{g},M u_{h})\) the corresponding discrete solutions of (2.1) (resp. (2.2)). If \(g\geq \tilde{g}\), then \(\sigma _{h}(g,M u_{h})\geq \sigma _{h}(\tilde{g},M u_{h})\).
Proof
let \(v_{h}=min(0,u_{h}-\tilde{u}_{h})\). In the region where \(v_{h}\) is negative \((v_{h}<0)\), we have
which means that the obstacle \(r_{h} M u_{h}\) is not active for \(u_{h}\).
So, for that \(v_{h}\), we have
we suppose \(w_{h}=\tilde{u}_{h} + v_{h}\), so \(w_{h}\leq r_{h } M u_{h}\), then
Subtracting (2.3) and (2.4) from each other, we obtain
or
so
as \(a(.,.)\) is strongly coercive, then \(v_{h}=0\), so
This completes the demonstration. □
Proposition 2.2
Under the notations and conditions of the preceding lemma, we have
Proof
Setting
We have
thus,
By Lemma 2.1, it follows that
however,
from where
Similarly, by interchanging the roles of g and g̃, we also obtain
This complete the proof. □
Theorem 2.3
([5])
Under the preceding notations and conditions, there exists a constant c independent of h such that
2.2 The continuous Schwarz sequences
We consider the problem: find \(u\in K_{0}(u)\) such that
where \(K_{0}(u)\) is defined in (1.2) with \(g=0\).
We split Ω into m overlapping subdomains such that
and u satisfies the local regularity condition
We set \(\Gamma _{ij}=\partial \Omega _{i}\cap \Omega _{j}\), where \(\partial \Omega _{i}\) denotes the boundary of \(\Omega _{i}\).
The intersection of \(\Gamma _{ij}\) and \(\Gamma _{ji}\) \((i\neq j)\) is assumed to be empty.
Let
For \(w \in C^{0}(\overline{\Gamma}_{ij})\), we define
We associate with problem (2.7) the following system: Find \(u_{i} \in V_{ij}^{(u_{j})}\), a solution of
For \(u_{i}^{0}, u_{j}^{0} \in C^{0} (\overline{\Omega})\) the initial values, we define the Schwarz sequences \((u_{i}^{n+1})\) on \(\Omega _{i}\) such that \(u_{i}^{n+1} \in V_{ij}^{(u_{j}^{n})} \) solves
where
\(u_{i}^{0}=u^{0}\) in \(\Omega _{i}\), \(u_{i}^{n+1}=0\) in Ω̅/\(\overline{\Omega _{i}}\).
2.3 Geometrical convergence
Theorem 2.4
The sequences \((u_{1} ^{n+1}, u_{2} ^{n+1},\ldots,u_{m} ^{n+1})\), \(n \geq 0 \) produced by the generalized Schwarz algorithm converge geometrically to the solution \((u_{1}, u_{2},\ldots,u_{m})\) of the problem (2.9). More precisely, there exist m constants \(k_{1}, k_{2} ,\ldots, k_{m} \in (0,1)\), \(\forall i=\overline{1,m-1}\), \(j=\overline{2,m}\) and \(i< j\) such that
and we consider a continuous function \(w_{i}\) \(\in L^{\infty}(\Omega _{i})\) in \(\overline{\Omega _{i}}\) ∖ \((\overline{\Gamma _{i}}\cap \partial \Omega )\)
such that
where
and
Proof
From the maximum principle, we have
and
Using (2.12), hence
By induction, we obtain
where \(u_{i}^{0}=u^{0}\) on \(\Gamma _{ij}\), \(u_{i}^{0}=0\) on \(\partial \Omega _{i} \cap \partial \Omega \).
Similary, we have
then,
where \(u_{j}^{0}=u^{0}\) on \(\Gamma _{ji}\), \(u_{j}^{0}=0\) on \(\partial \Omega _{j} \cap \partial \Omega \). □
2.4 The discretization
Let \(\tau ^{h_{ij}}\) be a standard regular and quasiuniform finite-element triangulation in \(\Omega _{i}\), \(h_{ij}\) being the meshsizes.
We assume that every two triangulations are mutually independent on \(\Omega _{i}\cap \Omega _{j}\), in the sense that a triangle belonging to one triangulation does not necessarily belong to the other, \(i=\overline{1,m}\), \(j=\overline{1,m}\), \((i \neq j)\)
Let \(V_{h_{ij}}=V_{h_{ij}}(\Omega _{i})\) be the space of continuous piecewise-linear functions on \(\tau ^{h_{ij}}\) that vanish on \(\partial \Omega \cap \partial \Omega _{i}\). For given \(\omega \in C(\overline{\Gamma}_{ij})\), we set
where \(\pi _{h_{ij}}\) denotes a suitable interpolation operator on \(\Gamma _{ij}\).
Now, we define the discrete Schwarz sequences and we suppose that the matrices of discretizations of problem (2.10) are M-matrices (see [4]).
Let \(u_{h_{i}}^{0} = r_{h_{ij}}u^{0}\), \(u_{ih_{ij}}^{n+1} \in V_{h_{ij}}^{(u_{jh_{ij}}^{n})} \) such that
where \(r_{h_{ij}}\) is a usual restriction operator in \(\Omega _{i}\) and \(u_{ih_{ij}}^{0}=u_{h_{ij}}^{0}\) in \(\Omega _{i}\), \(i= \overline{1,m}\), \(j=\overline{1,m}\), \((i \neq j)\).
3 Error analysis
The aim of this section is to show the main result of this paper. To that end, we start by introducing two discrete auxiliary sequences and prove a fundamental lemma.
3.1 Auxiliary Schwarz sequences
For \({\omega}_{h_{ij}}^{0}=u_{h_{ij}}^{0}\), we define the sequences \({\omega}_{ih_{ij}}^{n+1} \in V_{h_{ij}}^{(u_{j}^{n})} \) such that
Lemma 3.1
For \(i=\overline{1,m-1}\), \(j=\overline{2,m}\) and \(i < j \)
for \(n \in \mathbb{N}\) is an even number such that \(n=2q\)
for \(n \in \mathbb{N} \) is an odd number such that \(n=2q+1\)
Proof
Let us reason by recurrence. For \(n=0\), \((q=0)\): according to Proposition 2.2, we have
hence,
by recurrence. For \(n=1\), \((q=0)\): using proposition 2.2, we have
hence,
We assume that
then, using Proposition 2.2 again, we obtain
Then,
Then,
Now, we suppose that
and using Proposition 2.2, we obtain
Then,
Then,
□
3.2 \(L^{\infty}\) error estimate
Theorem 3.2
Let \(h=\max(h_{i},h_{j})\), \(i=\overline{1,m-1};j=\overline{2,m}\) and \(i < j \). Then, there exists a constant c independent of both h and n such that
Proof
For \(M=i\), let \(k=\max(k_{i},k_{j})\) using Theorem 2.4, Lemma 3.1, and Theorem 2.3 we obtain:
For \(n \in \mathbb{N}\) is an even number such that \(n=2q\)
For \(n \in \mathbb{N}\) is an odd number such that \(n=2q+1\)
We suppose that
and we obtain
For \(M=j\) this is similar. □
4 Conclusion
In this work, we have established a error estimate in an \(L^{\infty}\)-norm of an overlapping Schwarz algorithm on nonmatching grids for a class of elliptic quasivariational inequalities related to the impulse-control problem. It is important to note that the error estimate obtained in this paper contains an extra power in \(\lvert \log h\rvert \) than expected. We will see that this approach may also be extended to other important problems of QVIs.
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Acknowledgements
The authors would like to thank the editors and reviewers for their valuable comments, which greatly improved the readability of this paper.
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Bouzoualegh, I., Saadi, S. \(L^{\infty}\)-error estimate of a generalized parallel Schwarz algorithm for elliptic quasi-variational inequalities related to impulse control problem. J Inequal Appl 2023, 8 (2023). https://doi.org/10.1186/s13660-022-02909-7
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DOI: https://doi.org/10.1186/s13660-022-02909-7
Keywords
- Quasivariational inequalities
- Schwarz algorithm
- Finite-element method
- \(L^{\infty}\) error estimate