Multivariate best proximity point theorems in metric spaces


Authors

Yinglin Luo - Department of Mathematics, Tianjin Polytechnic University, Tianjin 300387, China. Yongfu Su - Department of Mathematics, Tianjin Polytechnic University, Tianjin 300387, China. Wenbiao Gao - Department of Mathematics, Tianjin Polytechnic University, Tianjin 300387, China.


Abstract

The purpose of this paper is to prove an existence and uniqueness theorems of the multivariate best proximity point in the complete metric spaces. The concept of multivariate best proximity point is firstly introduced in this article. These new results improve and extend the previously known ones in the literature.


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ISRP Style

Yinglin Luo, Yongfu Su, Wenbiao Gao, Multivariate best proximity point theorems in metric spaces, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 11, 5756--5765

AMA Style

Luo Yinglin, Su Yongfu, Gao Wenbiao, Multivariate best proximity point theorems in metric spaces. J. Nonlinear Sci. Appl. (2016); 9(11):5756--5765

Chicago/Turabian Style

Luo, Yinglin, Su, Yongfu, Gao, Wenbiao. "Multivariate best proximity point theorems in metric spaces." Journal of Nonlinear Sciences and Applications, 9, no. 11 (2016): 5756--5765


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