# Common best proximity points: global minimization of multi-objective functions

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## Abstract

Given non-empty subsets A and B of a metric space, let \$\${S{:}A{\longrightarrow} B}\$\$ and \$\${T {:}A{\longrightarrow} B}\$\$ be non-self mappings. Due to the fact that S and T are non-self mappings, the equations Sx=x and Tx=x are likely to have no common solution, known as a common fixed point of the mappings S and T. Consequently, when there is no common solution, it is speculated to determine an element x that is in close proximity to Sx and Tx in the sense that d(x, Sx) and d(x, Tx) are minimum. As a matter of fact, common best proximity point theorems inspect the existence of such optimal approximate solutions, called common best proximity points, to the equations Sx=x and Tx=x in the case that there is no common solution. It is highlighted that the real valued functions \$\${x{\longrightarrow}d(x, Sx)}\$\$ and \$\${x{\longrightarrow}d(x, Tx)}\$\$ assess the degree of the error involved for any common approximate solution of the equations Sx=x and Tx=x. Considering the fact that, given any element x in A, the distance between x and Sx, and the distance between x and Tx are at least d(A, B), a common best proximity point theorem affirms global minimum of both functions \$\${x{\longrightarrow}d(x, Sx)}\$\$ and \$\${x{\longrightarrow}d(x, Tx)}\$\$ by imposing a common approximate solution of the equations Sx=x and Tx=x to satisfy the constraint that d(x, Sx)=d(x, Tx)=d(A, B). The purpose of this article is to derive a common best proximity point theorem for proximally commuting non-self mappings, thereby producing common optimal approximate solutions of certain simultaneous fixed point equations in the event there is no common solution. Copyright Springer Science+Business Media, LLC. 2012

## Suggested Citation

• S. Sadiq Basha, 2012. "Common best proximity points: global minimization of multi-objective functions," Journal of Global Optimization, Springer, vol. 54(2), pages 367-373, October.
• Handle: RePEc:spr:jglopt:v:54:y:2012:i:2:p:367-373 DOI: 10.1007/s10898-011-9760-8
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File URL: http://hdl.handle.net/10.1007/s10898-011-9760-8

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## References listed on IDEAS

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1. Jean Strodiot & Thi Nguyen & Van Nguyen, 2013. "A new class of hybrid extragradient algorithms for solving quasi-equilibrium problems," Journal of Global Optimization, Springer, vol. 56(2), pages 373-397, June.
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### Keywords

Optimal approximate solution; Common best proximity point; Common fixed point; Proximally commuting mappings;

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