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BEST PROXIMITY POINTS FOR NEW TYPE OF SET-VALUED MAPPINGS

机译:新型集价值映射的最佳邻近点

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The concept of a proximal contraction for single-valued mapping, established by Basha [3], was extended in many directions. However, there are not any extensions concerning set-valued mappings. So, in this paper, we introduce a new concept of a proximal contraction for non-self set-valued mapping and prove the existence of a best proximity point for such mappings under certain conditions. We also give an example to support our main results.
机译:由Basha [3]建立的单值映射的近端收缩的概念在许多方向上延伸。 但是,没有关于集价值映射的任何扩展。 因此,在本文中,我们介绍了对非自动定价映射的近端收缩的新概念,并证明了在某些条件下这种映射的最佳接近点的存在。 我们还举例说明了支持我们的主要结果。

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