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Convergence of solutions to history-dependent variational-hemivariational inequalities

机译:历史依赖性变分性分析不平等的解决方案的收敛性

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摘要

In this paper, we state and prove two convergence results for the solution of a history-dependent variational-hemivariational inequality. The first one concerns the pointwise convergence of the solution with respect to the data, including the set of constraints, the nonlinear operator and the two functionals which govern the inequality. The second result, obtained under additional assumptions, concerns the uniform convergence of the solution with respect to the set of constraints. These convergence results allow us to consider two general optimization problems for which we prove the existence of minimizers. The mathematical tools developed in this paper are useful in the analysis and control of a large class of boundary value problems which, in a weak formulation, lead to history-dependent variationalhemivariational inequalities. To provide an example, we illustrate our results in the study of a nonlinear problem with unilateral constraints and subdifferential boundary conditions.
机译:在本文中,我们陈述并证明了历史依赖性变异性分化不等式的解决方案的两个会聚结果。 第一个问题涉及解决方案关于数据的点,包括限制集合,非线性运算符和控制不等式的两个功能。 在额外假设下获得的第二结果涉及解决方案关于该组约束的均匀收敛。 这些融合结果允许我们考虑两种一般优化问题,我们证明了最小化者的存在。 本文开发的数学工具可用于分析和控制大类边值问题,其在弱配方中,导致历史依赖性变异性不平等。 为了提供一个例子,我们说明了我们在研究非线性限制和子层面边界条件的非线性问题的研究。

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