The existence and uniqueness of solutions to a functional equation arising in psychological learning theory

Author:

Turab Ali1,Rosli Norhayati2,Ali Wajahat3,Nieto Juan J.4

Affiliation:

1. School of Software, Northwestern Polytechnical University, 127 West Youyi Road, Beilin District , Xi’an 710072 , China

2. Centre for Mathematical Sciences, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang , Kuantan , Pahang , Malaysia

3. Department of Mathematics, Faculty of Sciences, University of Ostrava , 70103 Ostrava , Czech Republic

4. CITMAga, Department of Statistics, Mathematical Analysis and Optimization, Universidade de Santiago de Compostela , 15782 Santiago de Compostela , Spain

Abstract

Abstract The paradigm of choice practice represents the psychological theory of learning in the development of moral judgment. It is concerned with evaluating the implications of several choices and selecting one of them to implement. The goal of this work is to provide a generic functional equation to observe the behavior of animals in such circumstances. Our suggested functional equation can be employed to describe several well-known psychology and learning theories. The fixed point theorem proposed by Banach is utilized to show that the solution of a given functional problem exists and is unique. In addition, the stability of the given functional equation’s solution is discussed in terms of the Hyers-Ulam and Hyers-Ulam-Rassias results. Furthermore, two examples are provided to highlight the relevance of the significant outcomes in the context of the literature.

Publisher

Walter de Gruyter GmbH

Subject

General Mathematics

Reference49 articles.

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2. R. R. Bush and F. Mosteller, Stochastic Models for Learning, Wiley, New York, 1955.

3. N. E. Miller and J. Dollard, Social Learning and Imitation, Yale University Press, New Haven, 1941.

4. N. Shwartz, An Experimental Study of Imitation. The Effects of Reward and Age. Senior honors thesis, Radcliffe College, 1953.

5. V. I. Istraţéscu, On a functional equation, J. Math. Anal. Appl. 56 (1976), 133–136.

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