Common fixed point theorems for weakly biased mappings with an application in dynamic programming
Authors
R. Kumar
- Department of Mathematics, Institute of Higher Learning, BPS Mahila Vishwavidyalaya, Khanpur Kalan-131305, Sonipat, Haryana, India.
C. Park
- Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul, 04763, Korea.
M. Donganont
- School of Science, University of Phayao, Phayao 56000, Thailand.
Abstract
The main objective of this paper is to investigate common fixed point theorems for weakly biased mappings satisfying property \((E.A)\) and a weak contraction condition involving cubic terms of distance functions. Our results generalize and improve the results by Kumar and Kumar [R. Kumar, S. Kumar, J. Math. Comput. Sci., \(\bf 11\) (2021), 1922--1954]. Results are supported with relevant application and example.
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ISRP Style
R. Kumar, C. Park, M. Donganont, Common fixed point theorems for weakly biased mappings with an application in dynamic programming, Journal of Mathematics and Computer Science, 36 (2025), no. 4, 399--407
AMA Style
Kumar R., Park C., Donganont M., Common fixed point theorems for weakly biased mappings with an application in dynamic programming. J Math Comput SCI-JM. (2025); 36(4):399--407
Chicago/Turabian Style
Kumar, R., Park, C., Donganont, M.. "Common fixed point theorems for weakly biased mappings with an application in dynamic programming." Journal of Mathematics and Computer Science, 36, no. 4 (2025): 399--407
Keywords
- Common fixed point
- weak contraction
- weakly biased mapping
- property \((E.A)\)
- dynamic programming
MSC
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