Existence of common fixed points for linear combinations of contractive maps in enhanced probabilistic metric spaces

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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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Jafari, S., Shams, M., Ibeas, A., & De La Sen, M. (2019). Existence of common fixed points for linear combinations of contractive maps in enhanced probabilistic metric spaces. Nonlinear Analysis: Modelling and Control, 24(5), 819–837. https://doi.org/10.15388/NA.2019.5.8

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