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JOURNALS // Journal of Siberian Federal University. Mathematics & Physics // Archive

J. Sib. Fed. Univ. Math. Phys., 2022 Volume 15, Issue 3, Pages 366–377 (Mi jsfu1004)

A fixed point approach to study a class of probabilistic functional equations arising in the psychological theory of learning

Ali Turab

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University Rangsit Center, Pathum Thani, Thailand

Abstract: Many biological and learning theory models have been investigated using probabilistic functional equations. This article focuses on a specific kind of predator–prey relation in which a predator has two prey options, each with a probability of $x$ and $1-x$, respectively. Our aim is to investigate the animal's responses in such situations by proposing a general probabilistic functional equation. The noteworthy fixed-point results are used to investigate the existence, uniqueness, and stability of solutions to the proposed functional equation. An example is also given to illustrate the importance of our results in this area of research.

Keywords: probabilistic functional equations, stability, fixed points.

UDC: 517.9

Received: 25.11.2021
Received in revised form: 30.01.2022
Accepted: 18.03.2022

Language: English

DOI: 10.17516/1997-1397-2022-15-3-366-377



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