Generalized contraction mapping in probabilistic metric space

Authors

  • Shams-ur Rahman Department of Natural Sciences, Kathmandu University
  • K Jha Department of Natural Sciences, Kathmandu University

DOI:

https://doi.org/10.3126/kuset.v7i1.5425

Keywords:

Fixed point, Distribution function, t-norm, PM space, contraction mapping.

Abstract

The probabilistic metric space as one of the important generalization of metric space was introduced by K. Menger in 1942. In this paper, we briefly discuss the historical developments of contraction mappings in probabilistic metric space with some fixed point results.

Keywords: Fixed point; Distribution function; t-norm; PM space; contraction mapping.

DOI: http://dx.doi.org/ 10.3126/kuset.v7i1.5425

KUSET 2011; 7(1): 79-91

Downloads

Download data is not yet available.
Abstract
665
PDF
559

Downloads

How to Cite

Rahman, S.- ur, & Jha, K. (2011). Generalized contraction mapping in probabilistic metric space. Kathmandu University Journal of Science, Engineering and Technology, 7(1), 79–91. https://doi.org/10.3126/kuset.v7i1.5425

Issue

Vol. 7 No. 1 (2011)

Section

Original Research Articles

License

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms.