Z. Angew. Math. Phys. (2018) 69:87 Zeitschrift fur ¨ angewandte c 2018 The Author(s) Mathematik und Physik ZAMP https://doi.org/10.1007/s00033-018-0980-3 Biao Zeng, Zhenhai Liu and Stanislaw Mig´ orski Abstract. In this paper we investigate the convergence behavior of the solutions to the time-dependent variational– hemivariational inequalities with respect to the data. First, we give an existence and uniqueness result for the problem, and then, deliver a continuous dependence result when all the data are subjected to perturbations. A semipermeability problem is given to illustrate our main results. Mathematics Subject Classiﬁcation. 47J20, 49J40, 49J45, 74M10, 74M15. Keywords. Variational–hemivariational inequality, Mosco convergence, Semipermeability problem, Pseudomonotone. 1. Introduction Variational–hemivariational inequalities represent a special class of inequalities which involve both con- vex and nonconvex functions. Elliptic hemivariational and variational–hemivariational inequalities were introduced by Panagiotopoulos in the 1980s and studied in many contributions, see [15, 17] and the references therein. Various classes of such inequalities have been recently investigated, for instance, in [7, 9, 10, 12, 20, 22]. They play an important role in describing many mechanical problems arising in solid and ﬂuid mechanics. In this paper we study the following time-dependent variational–hemivariational inequality: ﬁnd u : R =[0, +∞) → X such that, for all t ∈ R , u(t) ∈ K and + + Au(t) − f (t),v − u(t) + ϕ(u(t),v) − ϕ(u(t),u(t)) + j (u(t); v − u(t)) ≥ 0 for all v ∈ K, (1) where K is a nonempty, closed and convex subset of a reﬂexive Banach space X, A : X → X and ϕ : K × K → R are given maps to be speciﬁed later, j : X → R is a locally Lipschitz function, and ∗ 0 f : R → X is ﬁxed. The notation j (u; v) stands for the generalized directional derivative of j at point u ∈ X in the direction v ∈ X. The goal of the paper is to study the convergence of solution of the variational–hemivariational inequality (1) when the data A, f , ϕ, j and K are subjected to perturbations. The dependence of solutions to elliptic variational–hemivariational inequalities on the data has been studied only recently. For such inequalities the dependence with respect to functions ϕ and j was investi- gated in [13], where A and K were not subjected to perturbations. A result on the dependence of solutions to elliptic variational inequalities with respect to perturbations of the set K of a special form was studied Project supported by the National Science Center of Poland under Maestro Project No. UMO-2012/06/A/ST1/00262, and Special Funds of Guangxi Distinguished Experts Construction Engineering, Guangxi, P.R. China. It is also supported by the International Project co-ﬁnanced by the Ministry of Science and Higher Education of Republic of Poland under Grant No. 3792/GGPJ/H2020/2017/0. 0123456789().: V,-vol 87 Page 2 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP in [19]. There, the data A, ϕ and f were independent of perturbations. For a class of elliptic history- dependent variational–hemivariational inequalities studied in [21], the convergence result was obtained in a case when ϕ depends on a history-dependent operator, and A does not depend on perturbations. A result on the convergence with respect to the set of constraints K were studied for elliptic quasivari- ational inequalities in [1]. In all aforementioned papers the convergence results were applied to various mathematical models of deformable bodies in contact mechanics. Note that a result on the dependence of solutions to evolution second order hemivariational inequalities with respect to perturbations of the operators can be found in [8]. Furthermore, it is well known that the continuous dependence results are of importance in optimal control and identiﬁcation problems, see, e.g., [2, 9, 23]. The aim of the paper is twofold. First, we consider the class of abstract time-dependent variational– hemivariational inequalities of the form (1) for which we study the dependence of the solution with respect to the data A, f , ϕ, j and K. Our hypotheses on ϕ and j are diﬀerent than the one used in the aforementioned papers. Moreover, the set of constraints is of a more general form. Second, we illustrate the applicability of the convergence results in the study of a semipermeability problem. Semipermeability problems were ﬁrst considered in [5] for convex potentials (which lead to monotone relations) and, later, in [11, 16, 17] for nonconvex superpotentials (leading to nonmonotone relations). They concern the treatment of semipermeable membranes either in the interior or on the boundary of the body and arise, for instance, in ﬂow problems through porous media and heat conduction problems. In the current paper we study a semipermeability problem involving simultaneously both monotone and nonmonotone relations. Its weak formulation is a variational–hemivariational inequality. Note that the convergence results for semipermeability problems are provided here for the ﬁrst time. Finally, we underline that our convergence results of Sect. 3 are also applicable to various problems in contact mechanics like a nonlinear elastic contact problem with normal compliance condition with unilateral constraint, and a contact problem with the Coulomb friction law in which the friction bound is supposed to depend on the normal displacement, studied in, e.g., [1, 6, 13, 19]. The rest of this paper is organized as follows. In Sect. 2, we will introduce some necessary prelim- inary materials. Section 3 is devoted to the proofs of convergence results for the elliptic variational– hemivariational inequality and its time-dependent counterpart. In Sect. 4, we apply the results to a semipermeability problem. 2. Preliminaries In this section we recall notation, basic deﬁnitions and a result on unique solvability of a variational– hemivariational inequality. Let (X, · ) be a Banach space. We denote by X its dual space and by ·, · the duality pairing X X between X and X. The strong and weak convergences in X are denoted by “ → and “ , respectively. Let C(R ; X) be the space of continuous functions deﬁned on interval R =[0, +∞) with values in + + X.Forasubset K ⊂ X the symbol C(R ; K) denotes the set of continuous functions on R with values + + in K. We also recall that the convergence of a sequence {x } to the element x, in the space C(R ; X), n n≥1 + can be described as follows ⎨ x → x in C(R ; X), as n →∞ if and only if n + (2) max x (t) − x(t) → 0, as n →∞, for all k ∈ N. n X t∈[0,k] We recall the deﬁnitions of the convex subdiﬀerential, the (Clarke) generalized gradient and the pseudomonotone single-valued operators, see [3, 4]. Deﬁnition 1. A function f : X → R is said to be lower semicontinuous (l.s.c.) at u, if for any sequence {u } ⊂ X with u → u,wehave f (u) ≤ lim inf f (u ). A function f is said to be l.s.c. on X,if f is n n≥1 n n l.s.c. at every u ∈ X. ZAMP On convergence of solutions to variational–hemivariational inequalities Page 3 of 20 87 Deﬁnition 2. Let ϕ : X → R∪{+∞} be a proper, convex and l.s.c. function. The mapping ∂ϕ : X → 2 deﬁned by ∗ ∗ ∗ ∂ϕ (u)= { u ∈ X |u ,v − u ≤ ϕ(v) − ϕ(u) for all v ∈ X } c X for u ∈ X, is called the subdiﬀerential of ϕ. An element u ∈ ∂ ϕ(u) is called a subgradient of ϕ in u. Deﬁnition 3. Given a locally Lipschitz function ϕ : X → R, we denote by ϕ (u; v) the (Clarke) generalized directional derivative of ϕ at the point u ∈ X in the direction v ∈ X deﬁned by ϕ(ζ + λv) − ϕ(ζ) ϕ (u; v) = lim sup . + λ λ→0 ,ζ→u The generalized gradient of ϕ at u ∈ X, denoted by ∂ϕ(u), is a subset of X given by ∗ ∗ 0 ∗ ∂ϕ(u)= { u ∈ X | ϕ (u; v) ≥u ,v for all v ∈ X }. Furthermore, a locally Lipschitz function ϕ : X → R is said to be regular (in the sense of Clarke) at u ∈ X, if for all v ∈ X the directional derivative ϕ (u; v) exists, and for all v ∈ X,wehave ϕ (u; v)= ϕ (u; v). The function is regular (in the sense of Clarke) on X if it is regular at every point in X. Deﬁnition 4. A single-valued operator F : X → X is said to be pseudomonotone, if it is bounded (sends bounded sets into bounded sets) and satisﬁes the inequality Fu, u − v≤ lim infFu ,u − v for all v ∈ X, n n X where u u in X with lim supFu ,u − u ≤ 0. n n n X The following result provides a useful characterization of a pseudomonotone operator. Lemma 5. (see [12, Proposition 1.3.66]) Let X be a reﬂexive Banach space and F : X → X be a single- valued operator. The operator F is pseudomonotone if and only if F is bounded and satisﬁes the following condition: if u u in X and lim supFu ,u −u ≤ 0, then Fu Fu in X and limFu ,u −u = n n n X n n n X The following notion of the Mosco convergence of sets will be useful in the next sections. For the deﬁnitions, properties and other modes of set convergence, we refer to [4, Chapter 4.7] and [14]. Deﬁnition 6. Let (X, ·) be a normed space and {K } ⊂ 2 \{∅}. We say that K converge to K in ρ ρ>0 ρ the Mosco sense, ρ → 0, denoted by K −→ K if and only if the two conditions hold (m1) for each x ∈ K, there exists {x } such that x ∈ K and x → x in X, ρ ρ>0 ρ ρ ρ (m2) for each subsequence {x } such that x ∈ K and x x in X,wehave x ∈ K. ρ ρ>0 ρ ρ ρ For the following properties of the Mosco convergence, we refer to [14, p. 520]. Remark 7. Let K −→ K. Then, K = ∅ implies K = ∅ and the opposite is not true. Also, if K is a ρ ρ ρ closed and convex set for all ρ> 0, then K is also closed and convex. Finally, we recall a result on existence and uniqueness of solution to the following variational– hemivariational inequality. Problem 8. Find u ∈ K such that Au − f, v − u + ϕ(u, v) − ϕ(u, u)+ j (u; v − u) ≥ 0 for all v ∈ K, (3) Problem 8 was studied in [13] where results on its unique solvability, continuous dependence on the data and a penalty method were provided. We need the following hypotheses on the data of Problem 8. 87 Page 4 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP K is nonempty, closed and convex subset of X. (4) f ∈ X . (5) A : X → X is an operator such that ⎪ (a) A is pseudomonotone. ⎪ (b) there exists m > 0 such that Au − Au ,u − u ≥ m u − u 1 2 1 2 X A 1 2 (6) for all u ,u ∈ X. 1 2 (c) there exist α > 0,α ,α ∈ R,u ∈ K such that ⎪ A 1 2 0 Au, u − u ≥ α u − α u − α ⎪ 0 A 1 X 2 for all u ∈ X. ϕ : K × K → R is a function such that ⎪ (a) ϕ(u, ·): K → R is convex and l.s.c. on K, for all u ∈ K. (b) there exists α > 0 such that (7) ⎪ ϕ(u ,v ) − ϕ(u ,v )+ ϕ(u ,v ) − ϕ(u ,v ) 1 2 1 1 2 1 2 2 ≤ α u − u v − v ϕ 1 2 X 1 2 X for all u ,u ,v ,v ∈ K. 1 2 1 2 j : X → R is a function such that ⎪ (a) j is locally Lipschitz. ⎪ (b) there exist c ,c ≥ 0 such that 0 1 ∂j(u) ∗ ≤ c + c u for all u ∈ X. (8) X 0 1 X (c) there exists α ≥ 0 such that ⎪ j 0 0 2 j (u ; u − u )+ j (u ; u − u ) ≤ α u − u ⎪ 1 2 1 2 1 2 j 1 2 for all u ,u ∈ X. 1 2 The following existence and uniqueness result was established in Theorem 18 of [13]. Theorem 9. Assume that (4)–(8) hold and the following smallness conditions are satisﬁed α + α <m and α <α . (9) ϕ j A j A Then Problem 8 has a unique solution u ∈ K. 3. Convergence of solutions In this section we study the dependence of the solution to Problem 8 with respect to the operator A, functions f , ϕ and j, and the constraint set K. Continuous dependence for Problem 8 has been investigated earlier in some particular cases. For example, it was studied in Theorem 23 in [13], where A and K are independent of ρ> 0 and the hypotheses on the behavior of ϕ and j are diﬀerent than ours. Furthermore, the dependence of solution ρ ρ ZAMP On convergence of solutions to variational–hemivariational inequalities Page 5 of 20 87 to an elliptic variational inequality with respect to perturbations of the set K was studied in [19] under the hypotheses j ≡ 0, A, ϕ and f are independent of ρ, ϕ satisﬁes additional assumptions, and the constraint sets K satisfy the following hypothesis K = c(ρ)K + d(ρ)θ is such that ⎪ (a) K is a nonempty, closed and convex subset of X. (b) 0 ∈ K and θ is a given element of X. (10) X ρ (c) c:(0, +∞) → R is such that c(ρ) → 1, as ρ → 0. (d) d:(0, +∞) → R is such that d(ρ) → 0, as ρ → 0. We make the following observation. Remark 10. Note that if K ,for ρ> 0, is deﬁned by (10), then K −→ K,as ρ → 0. Indeed, for each ρ ρ x ∈ K, we deﬁne x ∈ K by x = c(ρ)x + d(ρ)θ ∈ K .From(10)(c) and (d), it follows that x → x in ρ ρ ρ ρ X. Hence, the condition (m1) in Deﬁnition 6 holds. Moreover, for each subsequence {x } such that ρ ρ>0 x ∈ K and x x in X, there exists x ∈ K such that x = c(ρ)x + d(ρ)θ. Again, from (10)(c) and ρ ρ ρ ρ ρ ρ (d), we infer that x x in X. Since K is closed and convex, it is weakly closed. Hence, x ∈ K which implies that the condition (m2) in Deﬁnition 6 is satisﬁed. Consider the following perturbed version of Problem 8. Problem 11. Find u ∈ K such that for all v ∈ K , we have ρ ρ ρ ρ A u − f ,v − u + ϕ (u ,v ) − ϕ (u ,u )+ j (u ; v − u ) ≥ 0. (11) ρ ρ ρ ρ ρ X ρ ρ ρ ρ ρ ρ ρ ρ ρ We formulate the hypotheses needed for the continuous dependence result. Let ρ> 0. K, K are sets such that ⎪ ρ (a) K, K satisfy (4). ρ (12) (b) K −→ K, as ρ → 0. ⎪ f, f are functions such that (a) f, f satisfy (5). (13) (b) f → f in X , as ρ → 0. A, A : X → X are operators such that ⎪ (a) A, A satisfy (6) with m > 0,α > 0,α ,α ∈ R,u ∈ K, ρ A A 1 2 0 and m > 0,α > 0,α ,α ∈ R,u ∈ K , respectively. A A 1ρ 2ρ 0ρ ρ ρ ρ (14) (b) there exist c > 0and α > 0 with α → 0, as ρ → 0 such A ρ ρ that A u − Av ≤ c (α + u − v ) for all u, v ∈ X ⎪ ρ X A ρ X with u , v ≤ M, where M> 0 is independent of ρ. X X 87 Page 6 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP ϕ : K × K → R,ϕ : K × K → R are functions such that ρ ρ ρ ⎪ (a) ϕ, ϕ satisfy (7) with α > 0and α > 0, respectively. ρ ϕ ϕ ⎪ ρ ⎪ (b) for all u ,v such that u ,v ∈ K for each ρ> 0 with ρ ρ ρ ρ ρ u u in X and v → v in X, we have ρ ρ (15) lim sup (ϕ (u ,v ) − ϕ (u ,u )) ≤ ϕ(u, v) − ϕ(u, u). ⎪ ρ ρ ρ ρ ρ ρ (c) there exists a nondecreasing function c : R → R such ⎪ ϕ + + that for all u, v ,v ∈ K , we have ⎪ 1 2 ρ ϕ (u, v ) − ϕ (u, v ) ≤ c (u )v − v . ρ 1 ρ 2 ϕ X 1 2 X j, j : X → R are functions such that ⎪ (a) j, j satisfy (8) with α ≥ 0,c ,c ≥ 0 ρ j 0 1 and α ≥ 0,c ,c ≥ 0, respectively. j 0ρ 1ρ (16) (b) for all u ,v such that u ,v ∈ K for each ρ> 0 with ρ ρ ρ ρ ρ u u in X and v → v in X, we have ⎪ ρ ρ 0 0 lim sup j (u ; v − u ) ≤ j (u; v − u). ρ ρ ρ ⎪ (a) there exist m ,m ,m > 0 such that for ρ> 0 suﬃciently small 0 1 2 α + α ≤ m <m and α + α ≤ m <m ≤ α . ϕ j 0 A ϕ j 1 2 A ρ ρ ρ ρ ρ ρ (17) (b) there exists M > 0 such that for all ρ> 0 suﬃciently small ⎪ 0 max{α ,α ,c ,c , u } ≤ M . 1ρ 2ρ 0ρ 1ρ 0ρ 0 The following result ensures the existence, uniqueness and convergence of Problem 11. Theorem 12. Assume that hypotheses (12)(a), (13)(a), (14)(a), (15)(a), (16)(a) and (17)(a) are satisﬁed. Then, (i) for each ρ> 0, Problem 11 has a unique solution u ∈ K , ρ ρ (ii) if, in addition, (9), (12)(b), (13)(b), (14)(b), (15)(b)(c), (16)(b), (17)(b) hold, then the sequence {u } converges in X,as ρ → 0, to the solution u of Problem 8. Proof. (i) The existence and uniqueness result for Problem 11 follows from Theorem 9. (ii) Let ρ> 0and u ∈ K be the unique solution to Problem 11. First, we will show that there exists ρ ρ a constant c> 0 independent of ρ such that for all ρ> 0 suﬃciently small u ≤ c. (18) ρ X From conditions (8) and (16)(a), we have 0 0 0 0 j (u ; u − u )= j (u ; u − u )+ j (u ; u − u ) − j (u ; u − u ) ρ 0ρ ρ ρ 0ρ ρ 0ρ ρ 0ρ 0ρ ρ 0ρ ρ ρ ρ ρ ≤ α u − u + | max{ζ ,u − u | ζ ∈ ∂j (u )}| j ρ 0ρ ρ ρ 0ρ ρ ρ 0ρ ρ X ≤ α u − u +(c + c u )u − u . j ρ 0ρ 0ρ 1ρ 0ρ X ρ 0ρ X ρ X ZAMP On convergence of solutions to variational–hemivariational inequalities Page 7 of 20 87 Taking v = u ∈ K in inequality (11), we obtain ρ 0ρ ρ α u − α u − α ≤A u ,u − u A ρ 1ρ ρ X 2ρ ρ ρ ρ 0ρ X ρ X ≤ ϕ (u ,u ) − ϕ (u ,u )+ j (u ; u − u )+ f ,u − u ρ ρ 0ρ ρ ρ ρ ρ 0ρ ρ ρ ρ 0ρ X ≤ ϕ (u ,u ) − ϕ (u ,u )+ ϕ (u ,u ) − ϕ (u ,u ) ρ ρ 0ρ ρ ρ ρ ρ 0ρ ρ ρ 0ρ 0ρ + ϕ (u ,u ) − ϕ (u ,u ) + j (u ; u − u )+ f ,u − u ρ 0ρ 0ρ ρ 0ρ ρ ρ 0ρ ρ ρ ρ 0ρ X 2 2 ≤ α u − u + α u − u ϕ ρ 0ρ j ρ 0ρ ρ X ρ X +(c (u )+ c + c u + f ∗ )u − u . ϕ 0ρ X 0ρ 1ρ 0ρ X ρ X ρ 0ρ X Therefore, we have (α − α − α )u A ϕ j ρ ρ ρ ρ X ≤ (2α +2α + c )u + c (u )+ α + c + f u ϕ j 1ρ 0ρ X ϕ 0ρ X 1ρ 0ρ ρ X ρ X ρ ρ +(α + α + c )u +(c (u )+ c + f )u + α . ϕ j 1ρ 0ρ ϕ 0ρ X 0ρ ρ X 0ρ X 2ρ ρ ρ X Hence, by hypothesis (17), we can ﬁnd a constant c> 0 independent of ρ such that, for all ρ> 0 suﬃciently small, condition (18) holds. Exploiting (18) and the reﬂexivity of X, by passing to a subsequence if necessary, we may suppose that the sequence {u }, u ∈ K for each ρ> 0, converges weakly to some u ∈ X,as ρ → 0. By the ρ ρ ρ condition (m2) of Deﬁnition 6, we deduce that u ∈ K. We will show that u ∈ K is a solution of Problem 8. From (m1) in Deﬁnition 6, we can ﬁnd a sequence {u } such that u ∈ K and u → u in X. Taking v = u in (11)wehave ρ ρ ρ ρ ρ ρ A u − f ,u − u + ϕ (u ,u ) − ϕ (u ,u )+ j (u ; u − u ) ≥ 0. ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ Then, from (13)(b), (14)(b), (15)(b) and (16)(b), using the fact that A is a bounded operator, we have lim sup Au ,u − u ρ ρ ≤ lim sup Au − A u ,u − u + lim sup A u ,u − u ρ ρ ρ ρ ρ ρ ρ ≤ lim sup c α u − u + lim sup A u ,u − u A ρ ρ ρ ρ ρ ≤ lim sup A u ,u − u + lim sup A u ,u − u ρ ρ ρ ρ ρ ρ ρ ≤ lim sup f ,u − u + ϕ (u ,u ) − ϕ (u ,u )+ j (u ; u − u ) ≤ 0. ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ Since A is pseudomonotone, by Lemma 5, we infer Au Au in X (19) limAu ,u − u =0. (20) ρ ρ Let w ∈ K. From hypothesis (12) and (m1) in Deﬁnition 6, we ﬁnd a sequence {w } such that w ∈ K ρ ρ ρ for each ρ> 0and w → w in X,as ρ → 0. We set v = w in inequality (11), and obtain ρ ρ ρ A u − f ,w − u + ϕ (u ,w ) − ϕ (u ,u )+ j (u ; w − u ) ≥ 0. ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ Since u u in X, w → w in X,from(19) and (20), we have ρ ρ limAu ,u − w = limAu ,u − u + limAu ,u − w = Au, u − w. ρ ρ ρ ρ ρ ρ ρ 87 Page 8 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP Using the latter, from (13)(b), (14)(b), (15)(b) and (16)(b) again, we deduce that Au, u − w = lim sup Au ,u − w ρ ρ ρ ≤ lim sup Au − A u ,u − w + lim sup A u ,u − w ρ ρ ρ ρ ρ ρ ρ ρ ρ ≤ lim sup c α u − w + lim sup A u ,u − w A ρ ρ ρ ρ ρ ρ ρ ≤ lim sup f ,u − w + ϕ (u ,w ) − ϕ (u ,u )+ j (u ; w − u ) ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ≤f, u − w + ϕ(u, w) − ϕ(u, u)+ j (u; w − u). Since w ∈ K is arbitrary, we have shown that Au − f, w − u + ϕ(u, w) − ϕ(u, u)+ j (u; w − u) ≥ 0 for all w ∈ K, which implies that u ∈ K solves Problem 8. Since every subsequence of {u } converges weakly to the same limit (u ∈ K is the unique solution to Problem 8), the whole sequence {u } converges weakly to u ∈ K. Finally, we show the strong convergence u → u in X,as ρ → 0. Since K −→ K,as ρ → 0, by ρ ρ condition (m1) of Deﬁnition 6, we can ﬁnd a sequence {u ˜ } such that u ˜ ∈ K for each ρ> 0 and u ˜ → u, ρ ρ ρ ρ as ρ → 0. Choosing v =˜ u in (11), we have ρ ρ m u − u ˜ ≤A u − A u ˜ ,u − u ˜ A ρ ρ ρ ρ ρ ρ ρ ρ X ρ X = A u ,u − u ˜ + A u ˜ , u ˜ − u ρ ρ ρ ρ X ρ ρ ρ ρ X ≤ ϕ (u , u ˜ ) − ϕ (u ,u )+ j (u ;˜ u − u )+ f − A u ˜ ,u − u ˜ . ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ X It follows from (14)(b) that lim sup−A u ˜ ,u − u ˜ ρ ρ ρ ρ X = lim supAu − A u ˜ ,u − u ˜ + lim sup−Au, u − u ˜ ρ ρ ρ ρ X ρ ρ X ≤ lim sup c (α + u ˜ − u)u − u ˜ + lim sup−Au, u − u ˜ A ρ ρ ρ ρ ρ ρ X =0. Passing to the upper limit, as ρ → 0, and exploiting (13)(b), (15)(b) and (16)(b), we deduce that lim sup u − u ˜ ≤ 0. Hence, we obtain u − u ˜ → 0. Finally, we have ρ ρ ρ ρ X 0 ≤ lim u − u ≤ lim u − u ˜ + lim u ˜ − u =0, ρ X ρ ρ X ρ X which implies that u → u in X,as ρ → 0. This completes the proof. We now consider the following time-dependent variational–hemivariational inequality. Problem 13. Findafunction u : R → X such that, for all t ∈ R , u(t) ∈ K and + + Au(t) − f (t),v − u(t) + ϕ(u(t),v) − ϕ(u(t),u(t)) + j (u(t); v − u(t)) ≥ 0 for all v ∈ K. (21) We have the following existence and uniqueness result. Theorem 14. Assume that the hypotheses of Theorem 9 hold and f ∈ C(R ; X ). Then, Problem 13 has auniquesolution u ∈ C(R ; K). Proof. We apply Theorem 9 for any t ∈ R . We deduce that Problem 13 has a unique solution u(t) ∈ K. The fact u ∈ C(R ; K) can be proved from the proof of Theorem 5 in [21]. + ZAMP On convergence of solutions to variational–hemivariational inequalities Page 9 of 20 87 The perturbed problem corresponding to Problem 13 reads as follows. Problem 15. Findafunction u : R → X such that, for all t ∈ R , u (t) ∈ K and ρ + + ρ ρ A u (t) − f (t),v − u (t) + ϕ (u (t),v ) − ϕ (u (t),u (t)) ρ ρ ρ ρ ρ X ρ ρ ρ ρ ρ ρ +j (u (t); v − u (t)) ≥ 0 for all v ∈ K . (22) ρ ρ ρ ρ ρ The following result concerns the pointwise convergence of solutions to Problem 15. Theorem 16. Assume that the hypotheses of Theorem 12 are satisﬁed. Suppose that for all ρ> 0, f ∈ ∗ ∗ C(R ; X ) and f (t) → f (t) in X for all t ∈ R ,as ρ → 0.Then, + ρ + (i) for each ρ> 0, Problem 15 has the unique solution u ∈ C(R ; K ); ρ + ρ (ii) for each t ∈ R , there is a subsequence {u } such that u (t) → u(t) in X,as ρ → 0,where u ∈ + ρ ρ C(R ; K) is the unique solution to Problem 13. Proof. By applying Theorems 12 and 14, we know that Problem 15 has a unique solution u ∈ C(R ; K ) ρ + ρ for all ρ> 0. Moreover, for each t ∈ R , there is a subsequence {u } such that u (t) → u(t)in X,as + ρ ρ ρ → 0, where u ∈ C(R ; K) is the unique solution to Problem 13. Finally, we conjecture that under additional hypotheses the convergence result of Theorem 16(ii) can be strengthen to the uniform convergence of u → u in C(R ; X), as ρ → 0, which will be studied in the ρ + future. We note that a convergence result for Problem 15 with j ≡ 0, A, f and ϕ independent of ρ,and K of the form (10) was provided in [1] under assumption that A is Lipschitz continuous and ϕ depends on a history-dependent operator. 4. Semipermeability problem In this section we consider a semipermeability problem to which our main results of Sect. 3 can be applied. First, we state the classical formulation of the problem, then we provide its variational formulation, and ﬁnally we obtain results on its weak solvability and convergence of solutions. The motivation comes from semipermeability problems studied in [5, Chapter I] for monotone relations, and in [15, Chapter 5.5.3] and [16] for nonmonotone relations which lead to variational and hemivari- ational inequalities, respectively. We consider the stationary heat conduction problem with constraints and both the interior and the boundary semipermeability relations. Nevertheless, similar problems can be formulated in electrostatics and in ﬂow problems through porous media, where the semipermeability relations are realized by natural and artiﬁcial membranes of various types, see [5, 11, 15–17]. We will ana- lyze a very general situation which leads to a variational–hemivariational inequality problem and provide examples which satisfy our hypotheses. Let Ω be a bounded domain of R with Lipschitz continuous boundary ∂Ω = Γ which consists of two disjoint measurable parts Γ and Γ such that m(Γ ) > 0. The classical model for the heat conduction 1 2 1 problem is described by the following boundary value problem. Problem 17. Find a temperature u:Ω × R → R such that − diva(x, ∇u)= f (t, u)in Ω × R , (23) f (t, u)= f (t)+ f (u), −f (u) ∈ ∂h(x,u)in Ω × R , (24) 1 2 2 + u(t) ∈ U for t ∈ R , (25) u =0 on Γ × R , (26) 1 + ∂u − ∈ k(u)∂g (x,u)on Γ × R . (27) c 2 + ∂ν a 87 Page 10 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP Now, we describe the problem (23)–(27). Equation (23) is the stationary heat equation related to the ˜ ˜ nonlinear operator in divergence form, with the time-dependent heat source f = f (t, u) where time plays a role of a parameter. The function f in (24) admits an additive decomposition on f = f (t)which is 1 1 prescribed and independent of the temperature u,and f = f (u) which is a multivalued function of u in 2 2 the Clarke subgradient term. Here h = h(x,r) is a function which is assumed to be locally Lipschitz in the second argument. Condition (25) introduces an additional constraint for the temperature (or the pressure of the ﬂuid). The temperature u is constrained to belong to a convex, closed set U . For example, the set U can represent a bilateral obstacle which means that we look for the temperature within prescribed bounds in the domain Ω, see Example 24. The homogeneous (for simplicity) Dirichlet boundary condition ∂u is supposed in (26). In the boundary condition (27) the expression = a(x, ∇u) · ν represents the heat ∂ν ﬂux through the part Γ , where ν denotes the outward unit normal on Γ. Here, g = g(x,r) is a prescribed function, convex in its second argument, ∂ g stands for its convex subdiﬀerential, and a given function k is positive. Note that in (27) we deal with the nonlinearity which is determined by a law of the form k∂ g. In such a case we cannot deal with a variational inequality since there is not, in general, a function g with ∂ g = k∂ g. 1 c 1 c We introduce the following spaces 1 2 V = { v ∈ H (Ω) | v =0 on Γ },H = L (Ω). (28) Since m(Γ ) > 0, on V we can consider the norm v = ∇v 2 d for v ∈ V which is equivalent on V 1 V L (Ω) 1 2 to the H (Ω) norm. By γ : V → L (Γ) we denote the trace operator which is known to be linear, bounded and compact. Moreover, by γv we denote the trace of an element v ∈ H (Ω). In order to study the variational formulation of Problem 17, we need the following hypotheses. d d a:Ω × R → R is such that (a) a(·, ξ) is measurable on Ω for all ξ ∈ R , and a(x, 0) = 0 for a.e. x ∈ Ω. ⎨ d (b) a(x, ·) is continuous on R for a.e. x ∈ Ω. (29) ⎪ d ⎪ (c) a(x, ξ)≤ m (1 + ξ) for all ξ ∈ R , a.e. x ∈ Ω ⎪ with m > 0. ⎪ 2 (d) (a(x, ξ ) − a(x, ξ )) · (ξ − ξ ) ≥ α ξ − ξ ⎪ 1 2 1 2 1 2 for all ξ , ξ ∈ R , a.e. x ∈ Ω with α > 0. 1 2 h:Ω × R → R is such that ⎪ (a) h(·,r) is measurable on Ω for all r ∈ R and there 2 1 ⎪ exists e ∈ L (Ω) such that h(·, e(·)) ∈ L (Ω). ⎪ (b) h(x, ·) is locally Lipschitz on R, a.e. x ∈ Ω. (c) there exist c , c ≥ 0 such that (30) 0 1 |∂h(x,r)|≤ c + c |r| for all r ∈ R, a.e. x ∈ Ω. 0 1 (d) there exists α ≥ 0 such that 0 0 2 h (x,r ; r − r )+ h (x,r ; r − r ) ≤ α |r − r | ⎪ 1 2 1 2 1 2 h 1 2 for all r ,r ∈ R, a.e. x ∈ Ω. 1 2 ZAMP On convergence of solutions to variational–hemivariational inequalities Page 11 of 20 87 g:Γ × R → R is such that ⎪ (a) g(·,r) is measurable on Γ for all r ∈ R. (b) g(x, ·)isconvexonΓ , a.e. x ∈ Ω. (31) (c) there exists L > 0 such that |g(x,r ) − g(x,r )|≤ L |r − r | ⎪ 1 2 g 1 2 for all r ,r ∈ R, a.e. x ∈ Γ . 1 2 2 k:Γ × R → R is such that 2 + ⎪ (a) k(·,r) is measurable on Γ for all r ∈ R. ⎨ (b) there exists L > 0 such that (32) ⎪ |k(x,r ) − k(x,r )|≤ L |r − r | 1 2 k 1 2 for all r ,r ∈ R, a.e. x ∈ Γ . 1 2 2 (c) k(x, 0) = 0 for a.e. x ∈ Ω. U is a closed, convex subset of V, f ∈ C(R ; H). (33) 1 + Below we provide examples of functions a and h. d d Example 18. We provide an example of a function a:Ω × R → R which satisﬁes hypothesis (29). Let 2 d a(x, ξ)= φ(x)ψ(ξ )ξ for all ξ ∈ R , a.e. x ∈ Ω, where φ:Ω → R is measurable and there are constants d ,d > 0 1 2 (34) such that for a.e. x ∈ Ω, we have d ≤ φ(x) ≤ d 1 2 and ⎨ ψ : R → R is piecewise continuously diﬀerentiable, and there are constants d ,d ,d > 0 such that for (35) 3 4 5 all r ≥ 0, we have |ψ(r)|≤ d ,d ≤ ψ(r)+2ψ (r)r ≤ d . 3 4 5 It is evident that (29)(a), (b) and (c) hold with m = d d . We will verify the strong monotonicity a 2 3 condition (29)(d). Let ξ , ξ ∈ R and x ∈ Ω. For t ∈ [0, 1], we put ξ(t)= ξ + t(ξ − ξ ). We have 1 2 2 1 2 2 2 a(x, ξ ) − a(x, ξ )= φ(x)ψ(ξ )ξ − φ(x)ψ(ξ )ξ 1 2 1 1 2 2 = φ(x) (ψ(ξ(t) )ξ(t)) dt dt 2 2 = φ(x) (2ψ (ξ(t) )ξ(t)ξ − ξ ξ(t)+ ψ(ξ(t) )(ξ − ξ )) dt. 1 2 1 2 0 87 Page 12 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP Then (a(x, ξ ) − a(x, ξ )) · (ξ − ξ ) 1 2 1 2 = φ(x) 2ψ (ξ(t) )ξ(t)ξ − ξ ξ(t) · (ξ − ξ ) 1 2 1 2 + ψ(ξ(t) )(ξ − ξ ) · (ξ − ξ ) dt 1 2 1 2 2 2 2 2 = φ(x) 2ψ (ξ(t) )ξ(t) + ψ(ξ(t) ) ξ − ξ dt 1 2 ≥ d d ξ − ξ . 1 4 1 2 Hence, condition (29)(d) follows with α = d d . We also observe that if ψ ≡ 1, then a(x, ξ)= φ(x)ξ for a 1 4 all ξ ∈ R , a.e. x ∈ Ω which leads to the linear operator A in the divergence form. Example 19. Consider the following example. Let h : R → R be deﬁned by 0if r< 0, ⎪ 2 ⎨ r if r ∈ [0, 1), h(r)= r 3 − +3r − if r ∈ [1, 3), 2 2 ⎩ 2 r 15 − 3r + if r ≥ 3. 2 2 Then, its subdiﬀerential is given by 0if r< 0, ⎪ r if r ∈ [0, 1), ∂h(r)= [1, 2] if r =1, −r +3 if r ∈ [1, 3), r −3if r ≥ 3. It can be proved that the function h satisﬁes condition (30) with c =2, c =1 and α = 3. For more 0 1 h examples of functions which satisfy this condition, we refer to Examples 16 and 17 in [13]. We turn to the variational formulation of Problem 17.Let v ∈ U and t ∈ R . We multiply (23)by v − u, use Green’s formula, decompose the surface integral on two parts on Γ and Γ and take into 1 2 account that v − u =0 on Γ . ∂u a(x, ∇u) ·∇(v − u)dx − ( )(v − u)dΓ ∂ν Ω Γ = f (t)(v − u)dx + f (u)(v − u)dx. (36) 1 2 Ω Ω From (23), (24) and deﬁnitions of subgradients, we have −f (u) r ≤ h (x,u; r)inΩ, ∂u − (r − u) ≤ k(u)(g(x,r) − g(x,u)) on Γ ∂ν for all r ∈ R. Using these inequalities in (36), we obtain the following variational–hemivariational in- equality. ZAMP On convergence of solutions to variational–hemivariational inequalities Page 13 of 20 87 Problem 20. Find u : R → U such that for all t ∈ R + + a(x, ∇u(t)) ·∇(v − u(t)) dx + k(u(t))g(x,v) − k(u(t))g(x,u(t)) dΓ Ω Γ + h (x,u(t); v − u(t)) dx ≥ f (t)(v − u(t)) dx Ω Ω for all v ∈ U . The following result concerns the well posedness of Problem 20. Theorem 21. Assume that (29)–(33) hold and the following smallness condition is satisﬁed L L γ + α <α . (37) k g h a Then, Problem 20 has a unique solution u ∈ C(R ; U ). Proof. We apply Theorem 14 in the following functional framework: X = V , K = U , f (t)= f (t) for all t ∈ R and A : V → V , Au, v = a(x, ∇u) ·∇v dx for u, v ∈ V, (38) ϕ : V × V → R,ϕ(u, v)= k(u)g(v)dΓ for u, v ∈ V, (39) j : V → R,j(v)= h(v)dx for v ∈ V. (40) With this notation, we can see that Problem 20 is equivalent to Problem 13. We now check the hypotheses of Theorem 14. 1 1 First, since V is a closed linear subspace of the Sobolev space H (Ω), containing H (Ω), it is straight- forward to prove that under hypotheses (29), the operator A is bounded and pseudomonotone, for details see, e.g., [18, Theorem 4.6] or [24, Proposition 26.12]. It is clear that condition (29)(d) implies that opera- tor A is strongly monotone with constant m = α . Using the strong monotonicity condition, for u ∈ K A a 0 and u ∈ V ,wehave Au, u − u = Au − Au ,u − u + Au ,u − u 0 0 0 0 0 ≥ m u − u −Au u − u . A 0 0 X 0 X From the following elementary inequalities u −u ≤u − u , X 0 X 0 X Au ∗ u − u ≤Au ∗ u + Au ∗ u , 0 X 0 X 0 X X 0 X 0 X we obtain ∗ ∗ Au, u − u ≥ m (u −u ) −Au u −Au u 0 A X 0 X 0 X X 0 X 0 X 2 2 ∗ ∗ = m u − (2m u + Au )u + m u −Au u , A A 0 X 0 X X A 0 0 X 0 X X X which proves condition (6)(c) with α = m and α , α ∈ R. A A 1 2 Next, hypothesis (8) is a consequence of (30), which holds with α = α , c = c and c = c . j h 0 0 1 1 87 Page 14 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP Next, we will verify (7). Condition (31) implies (7)(a). To prove (7)(b), let u, v ∈ V .Wehave ϕ(u ,v ) − ϕ(u ,v )+ ϕ(u ,v ) − ϕ(u ,v ) 1 2 1 1 2 1 2 2 = (k(u ) − k(u ))(g(v ) − g(v )) dΓ 1 2 1 2 ≤ L |u (x) − u (x)|L |v (x) − v (x)|ds k 1 2 g 1 2 ≤ L L γ u − u v − v . k g 1 2 V 1 2 V Hence, it follows that (7)(b) is satisﬁed with α = L L γ . The smallness conditions (9)are aconse- ϕ k g quence of assumption (37). Therefore, we deduce that all hypotheses of Theorem 14 are satisﬁed. By applying Theorem 14,we conclude that Problem 20 has a unique solution u ∈ C(R ; U ). We now turn to the dependence of solution to Problem 20 on the perturbation of the mapping a, functions k, g, h and f , and the set U . We consider the following perturbation of Problem 20. Problem 22. Find u : R → U such that for all t ∈ R ρ + ρ + a (x, ∇u (t)) ·∇(v − u (t)) dx + (k (u (t))g (x,v ) − k (u (t))g (x,u (t))) dΓ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ Ω Γ + h (x,u (t); v − u (t)) dx ≥ f (t)(v − u (t)) dx ρ ρ ρ 1ρ ρ ρ Ω Ω for all v ∈ U . ρ ρ For the data of Problem 22, we introduce the following hypotheses. U, U are closed convex sets in V, and U −→ U, as ρ → 0. (41) ρ ρ f ,f ∈ C(R ; H)and f (t) → f (t)in H for all t ∈ R , as ρ → 0. (42) 1 1ρ + 1ρ 1 + d d a, a :Ω × R → R are functions such that ⎪ (a) a, a satisfy (29) with constants m ,α > 0, ρ a a and m ,α > 0, respectively. a a ρ ρ (43) (b) there exist c > 0and β > 0 with β → 0, as ρ → 0 such that ⎪ a ρ ρ a (x, ξ) − a(x, η)≤ c (β + ξ − η) for all ξ, η ∈ R with ⎪ ρ a ρ ξ, η≤ M , a.e. x ∈ Ω, where M is independent of ρ. 1 1 ZAMP On convergence of solutions to variational–hemivariational inequalities Page 15 of 20 87 h, h :Ω × R → R are functions such that ⎪ (a) h, h satisfy (30) with α > 0, c , c ≥ 0 ρ h 0 1 ⎪ and α > 0, c , c ≥ 0, respectively. h 0ρ 1ρ (b) for all {r }, {s }⊂ R with r → r and s → s, we have (44) ρ ρ ρ ρ 0 0 lim sup h (x,r ; s ) ≤ h (x,r; s), a.e. x ∈ Ω. ρ ρ (c) either h(x, ·)or − h(x, ·) is regular in the sense of Clarke for a.e. x ∈ Ω. ⎪ g, g :Γ × R → R are functions such that ρ 2 (a) g, g satisfy (31) with L > 0and L > 0, respectively. ρ g g (45) (b) for all {r }, {s }⊂ R with r → r and s → s, we have ρ ρ ρ ρ lim (g (x,r ) − g (x,s )) = g(x,r) − g(x,s), a.e. x ∈ Γ . ρ ρ ρ ρ 2 ⎪ k, k :Γ × R → R are functions such that ρ 2 (a) k, k satisfy (32) with L > 0and L > 0, respectively. ρ k k (46) (b) for all {r }⊂ R with r → r ∈ R, ρ ρ ⎧ we have lim k (x,r )= k(x,r), a.e. x ∈ Γ . ρ ρ 2 ⎪ (a) there exist m , m > 0 such that for all ρ> 0 suﬃciently 0 1 small, we have L L γ + α ≤ m < m ≤ m . k g h 0 1 a (47) (b) there exists M > 0 such that for all ρ> 0 suﬃciently small, we have max{L ,L , c , c }≤ M . k g 0ρ 1ρ 1 ρ ρ We have the following convergence result for Problem 22. Theorem 23. Assume that (37), (41), (42), (43), (44), (45), (46) and (47) are satisﬁed. Then for each ρ> 0, Problem 22 has a unique solution u ∈ C(R ; U ) and for each t ∈ R , there is a subsequence of ρ + ρ + {u }, denoted by {u } again, such that u (t) → u(t) in V ,as ρ → 0,where u ∈ C(R ; U ) is the unique ρ ρ ρ + solution to Problem 20. Proof. First, we note that, by Theorem 21, for every ρ> 0, Problem 22 has a unique solution u ∈ C(R ; U ). Then, we shall apply Theorem 16 in the following framework: X = V , K = U , f (t)= f (t) + ρ ρ ρ ρ 1ρ for all t ∈ R and A : V → V , A u, v = a (x, ∇u(x)) ·∇v(x)dx for u, v ∈ V, (48) ρ ρ ρ ϕ : V × V → R,ϕ (u, v)= k (u(x))g (v(x)) dΓ for u, v ∈ V, (49) ρ ρ ρ ρ j : V → R,j (v)= h (v(x)) dx for v ∈ V. (50) ρ ρ ρ Ω 87 Page 16 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP We now check the hypotheses of Theorem 16. It is clear that (13), (14)(a), (16)(a) and (17) follow from (41), (43), (44)(a) and (47), respectively. We now show that (14)(b) and (16)(b) are satisﬁed. For all u, v, w ∈ V , from hypothesis (43)(b), we have A u − Av, w = (a (x, ∇u(x)) − a(x, ∇v(x))) ·∇w(x)dx ρ ρ ≤ c (β + ∇u(x) −∇v(x))∇w(x) dx a ρ ≤ c ( 2β |Ω| + u − v )w . a ρ V V Then A u − Av ∗ ≤ c ( 2m(Ω)β + u − v ). ρ V a ρ V Hence, we deduce that (14)(b) holds. Next, we prove condition (16)(b). Let {u }, {v } be such that u , v ∈ U for each ρ> 0 with u u ρ ρ ρ ρ ρ ρ in V and v → v in V . Since the embedding V ⊂ H is compact, we get the strong convergences u → u ρ ρ in H and v → v in H. Then, by passing to a subsequence, if necessary, we have u (x) → u(x)and ρ ρ v (x) → v(x) for a.e. x ∈ Ω. On the other hand, we recall that for j and j,by[12, Theorem 3.47], we ρ ρ have the following inequality 0 0 j (v; w) ≤ h (x,v(x); w(x)) dx for all v, w ∈ V (51) and if, in addition, (44)(c) is assumed, then (51) holds with equality. From (44)(b) and (51), by Fatou’s lemma, we have 0 0 lim sup j (u ; v − u ) ≤ lim sup h (u (x); v (x) − u (x)) dx ρ ρ ρ ρ ρ ρ ρ ρ 0 0 ≤ lim sup h (u (x); v (x) − u (x)) dx ≤ h (u(x); v(x) − u(x)) dx ρ ρ ρ Ω Ω = j (u; v − u). Hence, condition (16)(b) is veriﬁed. Next, we verify (15). Condition (15)(a) is obvious. Assume that {u }, {v } are such that u , v ∈ U ρ ρ ρ ρ ρ for each ρ> 0 with u u in V and v → v in V . From the compactness of the trace operator, it ρ ρ 2 2 follows that γu → γu in L (Γ) and γv → γv in L (Γ). Then, at least for a subsequence, we have ρ ρ ZAMP On convergence of solutions to variational–hemivariational inequalities Page 17 of 20 87 γu (x) → γu(x)and γv (x) → γv(x). Using (45)(b) and (46)(b), by Fatou’s lemma, we have ρ ρ lim sup(ϕ (u ,v ) − ϕ (u ,u )) ρ ρ ρ ρ ρ ρ = lim sup k (γu (x))(g (γv (x)) − g(γu (x))) dΓ ρ ρ ρ ρ ρ ≤ lim sup k (γu (x))(g (γv (x)) − g (γu (x))) dΓ ρ ρ ρ ρ ρ ρ = k(γu(x))(g(γv(x)) − g(γu(x))) dΓ = ϕ(u, v) − ϕ(u, u). Hence, condition (15)(b) holds. Finally, we will prove that (15)(c) is satisﬁed. In fact, from (45)(a) and (46)(a), for all u, v ,v ∈ U , 1 2 ρ we have ϕ (u, v ) − ϕ (u, v ) ρ 1 ρ 2 = k (γu(x))(g (γv (x)) − g (γv (x))) dΓ ρ ρ 1 ρ 2 = (k (γu(x)) − k (0) + k (0))(g (γv (x)) − g (γv (x))) dΓ ρ ρ ρ ρ 1 ρ 2 ≤ L |γu(x)|L |γv (x) − γv (x)|ds k g 1 2 ρ ρ ≤ L L γ u v − v k g V 1 2 V ρ ρ 2 2 ≤ M γ u v − v . V 1 2 V 2 2 Hence, it follows that condition (15)(c) holds with the function c (r)= M γ r for r ∈ R .From ϕ + Theorem 16, we deduce that u (t) → u(t)in V for all t ∈ R ,as ρ → 0. This completes the proof. ρ + We conclude this section with the following examples. Example 24. Hypothesis (41) is satisﬁed for the following constraint sets for a bilateral obstacle problem. U = U (ψ ,ψ )= { v ∈ V | ψ ≤ v ≤ ψ a.e. in Ω }, 1 2 1 2 U = U (ψ ,ψ )= { v ∈ V | ψ ≤ v ≤ ψ a.e. in Ω }, ρ 1ρ 2ρ 1ρ 2ρ where ψ , ψ , ψ , ψ ∈ V ∩ H (Ω). It is clear that U and U are closed convex subsets of V . We will 1 1ρ 2 2ρ ρ 2 2 show that if (ψ ,ψ ) (ψ ,ψ )in(V ∩ H (Ω)) × (V ∩ H (Ω)), as ρ → 0, then 1ρ 2ρ 1 2 U −→ U, as ρ → 0. (52) In fact, let v ∈ U be such that v v in V ,as ρ → 0. Since ρ ρ ρ U = { z ∈ V | z ≥ ψ a.e. in Ω }∩{ z ∈ V | z ≤ ψ a.e. in Ω }, ρ 1ρ 2ρ we obtain v − ψ ∈{ z ∈ V | z ≥ 0 a.e. in Ω } and v − ψ ∈{ z ∈ V | z ≤ 0 a.e. in Ω }.Moreover, ρ 1ρ ρ 2ρ since the sets { z ∈ V | z ≥ 0 a.e. in Ω } and { z ∈ V | z ≤ 0 a.e. in Ω } are weakly closed by Mazur’s 87 Page 18 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP theorem, we deduce that v − ψ ∈{ z ∈ V | z ≥ 0 a.e. in Ω } and v − ψ ∈{ z ∈ V | z ≤ 0 a.e. in Ω }, 1 2 and hence, v ∈ U . On the other hand, for any v ∈ U , there exist v ∈{ z ∈ V | z ≥ 0 a.e. in Ω } and v ∈{ z ∈ V | z ≤ 1 2 0 a.e. in Ω } such that v = v + ψ = v + ψ . 1 1 2 2 Using the compactness embedding theorem, it is clear that (ψ ,ψ ) → (ψ ,ψ )in V × V .Put 1ρ 2ρ 1 2 v = v + ψ . Then, for ρ small enough, we get v ∈ U . Hence, v = v + ψ → v + ψ = v + ψ = v ρ 1 1ρ ρ ρ ρ 1 1ρ 1 1 2 2 in V . Therefore, the convergence (52) holds. d d Example 25. (i) Let a, a :Ω × R → R be functions deﬁned by 2 2 a(x, ξ)= φ(x)ψ(ξ )ξ,a (x, ξ)= φ (x)ψ(ξ )ξ ρ ρ for all ξ ∈ R , a.e. x ∈ Ω with ρ> 0. Assume that φ and φ satisfy condition (34) with constants d , ρ 1 d > 0 uniformly with respect to ρ, ψ satisﬁes condition (35) and the following condition is satisﬁed ˜ ˜ there exist w ∈ L (Ω) and β > 0 with β → 0, as ρ → 0 ρ ρ (53) such that |φ (x) − φ(x)|≤ β w(x) for a.e. x ∈ Ω. ρ ρ From Example 18 it is clear that (43)(a) is satisﬁed. We show that condition (43)(b) holds. To this end, let M > 0, ξ, η ∈ R with ξ≤ M and η≤ M ,and t ∈ [0, 1]. We put ζ(t)= ξ + t(ξ − η). Then, 1 1 1 for a.e. x ∈ Ω, we have 2 2 a (x, ξ) − a(x, η) = φ (x)ψ(ξ )ξ − φ(x)ψ(η )η ρ ρ 2 2 2 2 ≤φ (x)ψ(ξ )ξ − φ(x)ψ(ξ )ξ + φ(x)ψ(ξ )ξ − φ(x)ψ(η )η 2 2 ≤|φ (x) − φ(x)||ψ(ξ )|ξ + |φ(x)| (ψ(ζ(t) )ζ(t)) dt dt = |φ (x) − φ(x)||ψ(ξ )|ξ 2 2 + |φ(x)| (2ψ (ζ(t) )(ζ(t) · (ξ − η))ζ(t)+ ψ(ζ(t) )(ξ − η)) dt ≤|φ (x) − φ(x)||ψ(ξ )|ξ 2 2 2 + |φ(x)| (2ψ (ζ(t) )ζ(t) + ψ(ζ(t) ))ξ − η dt ≤ d M |φ (x) − φ(x)| + d d ξ − η. 3 1 ρ 2 5 Here we have used the conditions d ≤ φ(x) ≤ d for a.e. x ∈ Ωand |ψ(r)|≤ d , d ≤ ψ(r)+2ψ (r)r ≤ d 1 2 3 4 5 for all r ≥ 0. From hypothesis (53), for a.e. x ∈ Ω, we deduce a (x, ξ) − a(x, η)≤ c (β + ξ − η) ρ a ρ for a.e. x ∈ Ω with c > 0. Therefore, the condition (43)(b) is satisﬁed. a ZAMP On convergence of solutions to variational–hemivariational inequalities Page 19 of 20 87 (ii) Let h, h :Ω × R → R be functions deﬁned by h(x,r)= α(x)h(r),h (x,r)= α (x)h(r) ρ ρ for all r ∈ R, a.e. x ∈ Ω. Suppose that the function h : R → R is such that h is locally Lipschitz, |∂h(r)|≤ c + c |r| for all r ∈ R with c , c ≥ 0, h(r ; r − r )+ h(r ; r − r ) ≤ α |r − r | for all 0h 1h 0h 1h 1 2 1 2 1 2 0h 1 2 r , r ∈ R with α ≥ 0, and either h of −h is regular in the sense of Clarke. Moreover, let 1 2 0h 0 <α ≤ α(x),α (x) ≤ α for a.e. x ∈ Ω. 0 ρ 1 If α (x) → α(x) for a.e. x ∈ Ω, as ρ → 0, then condition (44) is satisﬁed. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medi- um, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. References [1] Benraouda, A., Sofonea, M.: A convergence result for history-dependent quasivariational inequalities. Appl. Anal. 96, 2635–2651 (2017) [2] Chen, Q., Chu, D., Tan, R.C.E.: Optimal control of obstacle for quasi-linear elliptic variational bilateral problems. SIAM J. Control Optim. 44(3), 1067–1080 (2005) [3] Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley, New York (1983) [4] Denkowski, Z., Mig´ orski, S., Papageorgiou, N.S.: An Introduction to Nonlinear Analysis: Theory. Kluwer Academic, Boston (2003) [5] Duvaut, G., Lions, J.-L.: Inequalities in Mechanics and Physics. Springer, Berlin (1976) [6] Han, W., Sofonea, M.: Quasistatic Contact Problems in Viscoelasticity and Viscoplasticity. Studies in Advanced Math- ematics, vol. 30. International Press, American Mathematical Society, Providence (2002) [7] Han, W., Mig´ orski, S., Sofonea, M.: A class of variational–hemivariational inequalities with applications to frictional contact problems. SIAM J. Math. Anal. 46, 3891–3912 (2014) [8] Kulig, A., Mig´ orski, S.: Solvability and continuous dependence results for second order nonlinear evolution inclusions with a Volterra-type operator. Nonlinear Anal. Theory Methods Appl. 75, 4729–4746 (2012) [9] Liu, Z.H., Zeng, B.: Optimal control of generalized quasi-variational hemivariational inequalities and its applications. Appl. Math. Optim. 72, 305–323 (2015) [10] Mig´ orski, S.: Evolution hemivariational inequality for a class of dynamic viscoelastic nonmonotone frictional contact problems. Comput. Math. Appl. 52, 677–698 (2006) [11] Migorski, S., Ochal, A.: Boundary hemivariational inequality of parabolic type. Nonlinear Anal. Theory Methods Appl. 57, 579–596 (2004) [12] Mig´ orski, S., Ochal, A., Sofonea, M.: Nonlinear Inclusions and Hemivariational Inequalities: Models and Analysis of Contact Problems. Springer, New York (2013) [13] Mig´ orski, S., Ochal, A., Sofonea, M.: A class of variational–hemivariational inequalities in reﬂexive Banach spaces. J. Elast. 127, 151–178 (2017) [14] Mosco, U.: Convergence of convex sets and of solutions of variational Inequalities. Adv. Math. 3, 510–585 (1969) [15] Naniewicz, Z., Panagiotopoulos, P.D.: Mathematical Theory of Hemivariational Inequalities and Applications. Marcel Dekker Inc, New York (1995) [16] Panagiotopoulos, P.D.: Nonconvex problems of semipermeable media and related topics. Z. Angew. Math. Mech. 65, 29–36 (1985) [17] Panagiotopoulos, P.D.: Inequality Problems in Mechanics and Applications. Convex and Nonconvex Energy Functions. Birkh¨ auser, Basel (1985) [18] Simon, L.: Application of Monotone Type Operators to Nonlinear PDEs. E¨ otv¨ os Lor´ and University Press, Budapest (2013) [19] Sofonea, M., Benraouda, A.: Convergence results for elliptic quasivariational inequalities. Z. Angew. Math. Phys. 68, 10 (2017). https://doi.org/10.1007/s00033-016-0750-z [20] Sofonea, M., Han, W., Mig´ orski, S.: Numerical analysis of history-dependent variational inequalities with applications to contact problems. Eur. J. Appl. Math. 26, 427–452 (2015) 87 Page 20 of 20 B. Zeng, Z. Liu and S. Migórski ZAMP [21] Sofonea, M., Mig´ orski, S.: A class of history-dependent variational–hemivariational inequalities. Nonlinear Diﬀer. Equ. Appl. 23, 38 (2016). https://doi.org/10.1007/s00030-016-0391-0 [22] Sofonea, M., Mig´ orski, S.: Variational–Hemivariational Inequalities with Applications. CRC Monographs and Research Notes in Mathematics. Chapman & Hall, Boca Raton (2018) [23] Wang, Z.B., Huang, N.J., Wen, C.F.: The existence results for optimal control problems governed by quasi-variational inequalities in reﬂexive Banach spaces. Taiwan. J. Math. 16(4), 1221–1243 (2012) [24] Zeidler, E.: Nonlinear Functional Analysis and Its Applications, II/B. Nonlinear Monotone Operators. Springer, Berlin (1990) Biao Zeng and Stanislaw Mig´ orski Chair of Optimization and Control Jagiellonian University in Krakow ul. Lo jasiewicza 6 30-348 Krak´ ow Poland e-mail: biao.zeng@outlook.com Stanislaw Mig´ orski e-mail: stanislaw.migorski@uj.edu.pl Zhenhai Liu Guangxi Key Laboratory of Universities Optimization Control and Engineering Calculation, and College of Sciences Guangxi University for Nationalities Nanning 530006 China e-mail: zhhliu@hotmail.com (Received: April 7, 2017; revised: May 24, 2018)
Zeitschrift für angewandte Mathematik und Physik – Springer Journals
Published: Jun 4, 2018
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