Solvability and Stability Results for a Class of History-Dependent Quasi-Variational Hemivariational Inequalities
SHAO Chongyang et al.
What the paper says
(Communicated by Xinmin Yang) In this paper, we study a history-dependent quasi-variational hemivariational inequality as follows. Problem 1. Find $u \in C(I;\Lambda)$ such that, for all $t \in I$, $u(t) \in K(u(t))$ and $Au(t),v-u(t)\rangle + \varphi(Su(t),u(t),v)- \varphi(Su(t),u(t),u(t))$ $+ j^\circ(\gamma u(t),\gamma u(t);\gamma v-\gamma u(t)) \geq \langle f(t),v-u(t)\rangle, ~~\forall v \in K(u(t)).$ Here $I=[0,+\infty)$ is an infinite time interval, $V$ and $X$ are reflexive Banach spaces, $Y$ is a normed space, $\Lambda$ is a nonempty subset of $V$, $C(I;\Lambda)$ stands for a set of all continuous functions defined on $I$ with values on $\Lambda$, $A: V \to V^*$ represents a nonlinear operator, $\gamma: V \to X$ is a linear continuous operator, $S: C(I;V) \to C(I;Y)$ is a history-dependent operator, $\varphi: Y \times V \times V \to \mathbb{R}$ is convex, lower semicontinuous with respect to its last argument, $j:X \times X \to \mathbb{R}$ is a locally Lipschitz functional with respect to its last argument, $j^\circ$ is the generalized directional derivative (in the sense of Clarke) of $j$, $K: \Lambda \to 2^\Lambda$ is a set-valued mapping and $f \in C(I;V^*)$ is given. By applying a fixed point argument about history-dependent operators and the Gronwall inequality, we obtain a unique solvability result to the history-dependent quasi-variational hemivariational inequality in a space of continuous functions. In addition, when the data of the history-dependent quasi-variational hemivariational inequality are perturbed, sufficient conditions are given to guarantee that the solution sequence of the perturbed problem converges to the unique solution of the original problem.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
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