Some Applications of Fuzzy Differential Subordination on Analytic Functions Connected with Lommel Function
DOI:
https://doi.org/10.29020/nybg.ejpam.v18i4.6979Keywords:
Analytic function, Fuzzy set, Differential subordination, Lommel FunctionAbstract
The findings of this study are connected with geometric function theory and were acquired by using Fuzzy subordination-based techniques in conjunction with the convolution concept and Lommel Function LMn,v. The first class introduced and investigated here is a generalized class of analytic functions. It is also shown that for particular choice of parameters for the new generalized class, the class of close-to-convex functions emerges. Using the properties of the convolution and subordination, certain characterization properties of this class are proved involving combinations of the functions from the class. Further, three more classes are defined in connection to this first class, developing new applications of Lommel function by using the fuzzy subordination technique and convolutions.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Ekram E. Ali, Rabha M. El-Ashwah, Altaf Alshuhail, Maryam F. Alshammari

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Upon acceptance of an article by the European Journal of Pure and Applied Mathematics, the author(s) retain the copyright to the article. However, by submitting your work, you agree that the article will be published under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). This license allows others to copy, distribute, and adapt your work, provided proper attribution is given to the original author(s) and source. However, the work cannot be used for commercial purposes.
By agreeing to this statement, you acknowledge that:
- You retain full copyright over your work.
- The European Journal of Pure and Applied Mathematics will publish your work under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
- This license allows others to use and share your work for non-commercial purposes, provided they give appropriate credit to the original author(s) and source.