Abstract
We study the stability of solutions to \({H_{0}^{1}}\)-elliptic variational inequalities of the second kind that contain a non-differentiable Nemytskii operator. The local Lipschitz continuity of the solution map with respect to perturbations of the right-hand side and perturbations of the coefficient of the Nemytskii operator is proved for a large class of problems, and Hadamard directional differentiability results are obtained under comparatively mild structural assumptions. It is further shown that the directional derivatives of the solution map are typically characterized by elliptic variational inequalities in weighted Sobolev spaces whose bilinear forms contain surface integrals.
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Adams, D.R., Hedberg, L.I.: Function Spaces and Potential Theory, Grundlehren Der Mathematischen Wissenschaften. Corrected Second Printing, Springer-Verlag, Berlin, vol. 314 (1999)
Adams, R.A.: Sobolev Spaces. Academic Press, New York (1975)
Addi, K., Adly, S., Goeleven, D., Saoud, H.: A sensitivity analysis of a class of semi-coercive variational inequalities using recession tools. J. Glob. Optim. 40, 7–27 (2008)
Attouch, H., Buttazzo, G., Michaille, G.: Variational analysis in Sobolev and BV spaces. SIAM, Philadelphia (2006)
Betz, T., Meyer, C.: Second-order sufficient optimality conditions for optimal control of static elastoplasticity with hardening. ESAIM Control Optim. Calc. Var. 21, 271–300 (2015)
Bonnans, J.F., Shapiro, A.: Perturbation Analysis of Optimization Problems, Springer Series in Operations Research. Springer-Verlag, New York (2000)
Christof, C., Wachsmuth, G.: On the Non-Polyhedricity of sets with upper and lower bounds in dual spaces. GAMM Mitteilungen 40(4), 339–350 (2018)
De los Reyes, J.C., Meyer, C.: Strong stationarity conditions for a class of optimization problems governed by variational inequalities of the second kind. J. Optim. Theory Appl. 168(2), 375–409 (2016)
Ekeland, I., Temam, R.: Convex Analysis and Variational Problems. North-Holland, Amsterdam (1976)
Evans, L.C.: Partial Differential Equations, 2nd edn. AMS, Providence (2010)
Evans, L.C., Gariepy, R.F.: Measure Theory and Fine Properties of Functions, Revised Edition. CRC Press, Boca Raton (2015)
Fitzpatrick, S., Phelps, R.R.: Differentiability of the metric projection in Hilbert space. Trans. Amer. Math. Soc. 270(2), 483–501 (1982)
Gilbarg, D., Trudinger, N.S.: Elliptic Partial Differential Equations of Second Order Reprint of the 1998 Edition. Springer-Verlag, Berlin (2001)
Glowinski, R.: Lectures on Numerical Methods for Non-Linear Variational Problems. Tata Institute of Fundamental Research, Bombay (1980)
Haraux, A.: How to differentiate the projection on a convex set in Hilbert space. Some applications to variational inequalities. J. Math. Soc. Jpn. 29(4), 615–631 (1977)
Hintermüller, M., Surowiec, T.: First-order optimality conditions for elliptic mathematical programs with equilibrium constraints via variational analysis. SIAM J. Optim. 21(4), 1561–1593 (2012)
Hintermüller, M., Surowiec, T.: On the Directional Differentiability of the Solution Mapping for a Class of Variational Inequalities of the Second Kind, Set-Valued and Variational Analysis, to appear (2017)
Hörmander, L.: The Analysis of Linear Partial Differential Operators I, 2nd edn. Springer-Verlag, Berlin (1990)
Jarušek, J., Krbec, M., Rao, M., Sokolowski, J.: Conical differentiability for evolution variational inequalities. J. Differ. Equ. 193, 131–146 (2003)
Kinderlehrer, D., Stampacchia, G.: An Introduction to Variational Inequalities and their Applications. SIAM, Philadelphia (2000)
Levy, A.B.: Sensitivity of solutions to variational inequalities on Banach spaces. SIAM J. Control Optim. 38, 50–60 (1999)
Mignot, F.: Controle dans les inéquations variationelles elliptiques. J. Funct. Anal. 22, 130–185 (1976)
Mignot, F., Puel, J.P.: Optimal control in some variational inequalities. SIAM J. Control Optim. 22(3), 466–476 (1984)
Nečas, J.: Direct Methods in the Theory of Elliptic Equations. Springer-Verlag, Berlin/Heidelberg (2012)
Rao, M.: Sokolowski J.: Sensitivity analysis of unilateral problems in \({h_{0}^{2}}({\Omega })\) and applications. Numer. Funct. Anal. Optim. 14, 125–143 (1993)
Shapiro, A.: Existence and differentiability of metric projections in Hilbert spaces. SIAM J. Optim. 4(1), 130–141 (1994)
Shapiro, A.: Sensitivity analysis of parameterized variational inequalities. Math. Oper. Res. 30(1), 109–126 (2005)
Sokolowski, J.: Sensitivity analysis of contact problems with prescribed friction. Appl. Math. Optim. 18(1), 99–117 (1988)
Sokolowski, J., Zolesio, J.P.: Shape sensitivity analysis of contact problems with prescribed friction. Nonlinear Anal. 12(12), 1399–1411 (1988)
Sokolowski, J., Zolesio, J.P.: Introduction to Shape Optimization. Springer-Verlag, Berlin/Heidelberg (1992)
Wachsmuth, G.: A guided tour of polyhedric sets. Journal of Convex Analysis, 26 to appear (2019)
Walter, R.: Some analytical properties of geodesically convex sets. Abh. Math. Semin. Univ. Hamburg 45, 263–282 (1976)
Warner, F.W.: Foundations of Differentiable Manifolds and Lie Groups. Springer-Verlag, Berlin (1983)
Wong, R.: Asymptotic approximations of integrals. SIAM, Philadelphia (2001)
Yen, N.D., Lee, G.M.: Solution sensitivity of a class of variational inequalities. J. Math. Anal. Appl. 215, 48–55 (1997)
Ziemer, W.P.: Weakly Differentiable Functions. Springer-Verlag, New York (1989)
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This research was supported by the German Research Foundation (DFG) under grant number ME 3281/7-1 within the priority program “Non-smooth and Complementarity-based Distributed Parameter Systems: Simulation and Hierarchical Optimization” (SPP 1962).
Appendix: A One-Dimensional Counterexample
Appendix: A One-Dimensional Counterexample
In what follows, we demonstrate by means of a simple one-dimensional counterexample that the approach that has been employed by Sokolowski in [28,29,30] for the study of frictional contact problems indeed fails in case of the problem (P) due to a lack of polyhedricity. The variational inequality that we consider takes the following form
We use a prime here to denote a weak derivative. Note that the VI (Q) is indeed a special instance of (P) with Ω = (− 1, 1), \(a(v_{1}, v_{2}) = (v_{1}^{\prime }, v_{2}^{\prime })_{L^{2}}\), c ≡ 1 and j(x) = |x|. Throughout this appendix, the right-hand side f is assumed to be an element of the space H− 1(− 1, 1). Recall that the approach in [28,29,30] is based on the idea to transform the VI of the second kind at hand into a VI of the first kind by dualization and to subsequently study the differentiability of the solution operator to the dual problem with the classical results of Mignot (cf. [15, 22]). To dualize the problem (Q), we note that, according to [8, Lemma 3.2] (cf. also with the proof of Theorem 2.4 d)), for every f ∈ H− 1(− 1, 1) with associated solution w = w(f) (see Theorem 2.4 for the unique solvability of (Q)), there exists a unique slack variable q ∈ L∞(− 1, 1) such that
Consider now the solution operator T to the one-dimensional Poisson problem, i.e., the operator \(T : H^{-1}(-1,1) \to {H_{0}^{1}}(-1,1)\) satisfying
and define
Then the properties of q yield
for all p ∈ Λ. If we define b(p1, p2) := 〈p2,T(p1)〉, then the last inequality can be rewritten as
This is the desired dualization of (Q) (cf. with the VI (4.124) in [30, Section 4.5]). Note that the bilinear form \(b : H^{-1}(-1,1) \times H^{-1}(-1,1) \to \mathbb {R}\) in (Q’) satisfies
for all p,p1,p2 ∈ H− 1(− 1, 1). Thus, b is continuous, symmetric and H− 1-elliptic. Further, it is easy to see that Λ is a closed, non-empty, convex subset of H− 1(− 1, 1). This shows that (Q’) is indeed an elliptic VI of the first kind in H− 1(− 1, 1). Recall that, to be able to apply the classical differentiability results in [15, 22] to (Q’), we have to check the condition of polyhedricity, i.e., we have to check if the radial cone
and the critical cone
in q to Λ satisfy (see, e.g., [15])
We claim that the above is in general not true. To see this, we consider the right-hand side \(\tilde f(x) := \pi ^{2} \sin (\pi x) +\text {sgn}(x) \in L^{\infty }(-1,1)\). Note that the solution \(\tilde w\) and the multiplier \(\tilde q\) associated with \(\tilde f\) are given by \(\tilde w (x) = \sin (\pi x)\) and \(\tilde q (x) = \text {sgn}(x)\). This follows immediately from \(- \tilde w^{\prime \prime } + \tilde q = \tilde f\), \(\tilde q = \text {sgn}(\tilde w)\) and the estimate
Note that the definition of Λ and the identity \(\tilde q (x) = \text {sgn}(x)\) yield
Further, the definition of b and the identity \(\tilde w = T(\tilde f - \tilde q)\) imply
If we combine the above, then we obtain that every \(z \in T_{\textup {crit}}(\tilde q,{\Lambda } ) \cap T_{\textup {rad}}(\tilde q, {\Lambda } )\) satisfies
This shows that \( \text {cl}_{H^{-1}} (T_{\textup {crit}}(\tilde q, {\Lambda } ) \cap T_{\textup {rad}}(\tilde q, {\Lambda } ) ) = T_{\textup {crit}}(\tilde q, {\Lambda } ) \cap T_{\textup {rad}}(\tilde q, {\Lambda } ) = \{0\}\). On the other hand, it follows from (A.2) that the functions
are contained in \(T_{\textup {rad}}(\tilde q, {\Lambda } )\) for all α1,α2 ∈ [0,∞) and all t ∈ (0, 1), and these functions satisfy \(z_{t, \alpha _{1}, \alpha _{2}} \to (\alpha _{1} - \alpha _{2}) \delta _{0}\) in H− 1(− 1, 1), where δ0 is the Dirac delta at the origin. Thus, \(\mathbb {R} \delta _{0} \subset \text {cl}_{H^{-1}}\left (T_{\textup {rad}}(\tilde q, {\Lambda } ) \right )\). Moreover, we clearly have \(b(\tilde q - \tilde f, z) = -\left \langle z, \tilde w \right \rangle = 0\) for all \( z \in \mathbb {R} \delta _{0}\). Consequently, \(\mathbb {R} \delta _{0} \subset T_{\textup {crit}}(\tilde q, {\Lambda } )\), and we arrive at
The above shows that the polyhedricity condition (A.1) is violated in \(\tilde q\), that the results of Mignot in [15, 22] cannot be employed and that the approach of [28,29,30] is indeed not applicable. Note that the set Λ is trivially polyhedric as a subset of the Dirichlet space L2(− 1, 1), see, e.g., [31]. Our example shows that this is not the case when Λ is considered as a subset of the space H− 1(− 1, 1). Moreover, it should be noted that, in the above, we have \(\mathcal{M} = \{x \in (-1,1) : \tilde w(x) = 0, \tilde w^{\prime }(x) \neq 0\} = \{0\}\). This shows that the surface integrals in (5.1) appear exactly on those parts of the domain Ω that are responsible for the loss of polyhedricity in the dual setting.
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Christof, C., Meyer, C. Sensitivity Analysis for a Class of \({{H_{0}^{1}}}\)-Elliptic Variational Inequalities of the Second Kind. Set-Valued Var. Anal 27, 469–502 (2019). https://doi.org/10.1007/s11228-018-0495-2
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DOI: https://doi.org/10.1007/s11228-018-0495-2
Keywords
- Elliptic variational inequalities of the second kind
- Sensitivity analysis
- Hadamard directional differentiability
- Lipschitz stability
- Optimal control of variational inequalities