Existence of common fixed points for linear combinations of contractive maps in enhanced probabilistic metric spaces
Articles
Shahnaz Jafari
University of Shahrekord
Maryam Shams
University of Shahrekord
Asier Ibeas
Universitat Autónoma de Barcelona
Manuel De La Sen
University of the Basque Country
https://orcid.org/0000-0001-9320-9433
Published 2019-09-26
https://doi.org/10.15388/NA.2019.5.8
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Keywords

enhanced probabilistic metric space
fixed point
linear combination
convergent sequence
dynamic systems

How to Cite

Jafari, S. (2019) “Existence of common fixed points for linear combinations of contractive maps in enhanced probabilistic metric spaces”, Nonlinear Analysis: Modelling and Control, 24(5), pp. 819–837. doi:10.15388/NA.2019.5.8.

Abstract

In this paper, we introduce the concept of enhanced probabilistic metric space (briefly EPM-space) as a type of probabilistic metric space. Also, we investigate the existence of fixed points for a (finite or infinite) linear combination of different types of contractive mappings in EPM-spaces. Furthermore, we investigate about the convergence of sequences (generated by a finite or infinite family of contractive mappings) to a common fixed point. The useful application of this research is the study of the stability of switched dynamic systems, where we study the conditions under which the iterative sequences generated by a (finite or infinite) linear combination of mappings (contractive or not), converge to the fixed point. Also, some examples are given to support the obtained results. In the end, a number of figures give us an overview of the examples.

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