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EKELAND'S VARIATIONAL PRINCIPLE FOR SET-VALUED MAPS WITH APPLICATIONS TO VECTOR OPTIMIZATION IN UNIFORM SPACES

机译:EKELAND集值映射的变分原理及其在均匀空间中的矢量优化中的应用

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摘要

In this paper, we introduce the concept of a weak q-distance and for this distance we derive a set-valued version of Ekeland's variational principle in the setting of uniform spaces. By using this principle, we prove the existence of solutions to a vector optimization problem with a set-valued map. Moreover, we define the (p, epsilon)-condition of Takahashi and the (p, epsilon)-condition of Hamel for a set-valued map. It is shown that these two conditions are equivalent. As an application, we discuss the relationship between an epsilon-approximate solution and a solution of a vector optimization problem with a set-valued map. Also, a well-posedness result for a vector optimization problem with a set-valued map is given.
机译:在本文中,我们介绍了弱q距离的概念,并针对此距离在均匀空间的设置中推导了Ekeland变分原理的集值版本。通过使用该原理,我们证明了具有集值映射的向量优化问题的解的存在。此外,对于集值映射,我们定义了高桥的(p,epsilon)条件和Hamel的(p,epsilon)条件。表明这两个条件是等效的。作为应用,我们讨论了ε近似解与带有集值映射的向量优化问题的解之间的关系。此外,给出了具有集值映射的矢量优化问题的适定性结果。

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