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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

In this article we have defined two new subclasses of analytic functions kSq[A,B] and kKq[A,B] by using q-difference operator in an open unit disk. Furthermore, the necessary and sufficient conditions along with certain other useful properties of these newly defined subclasses have been calculated by using q-difference operator.

Details

Title
Generalization of k-Uniformly Starlike and Convex Functions Using q-Difference Operator
Author
Ali, Irfan 1   VIAFID ORCID Logo  ; Yousaf Ali Khan Malghani 2 ; Sardar Muhammad Hussain 2 ; Khan, Nazar 3   VIAFID ORCID Logo  ; Jong-Suk Ro 4   VIAFID ORCID Logo 

 Department of Mathematical Sciences, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, Pakistan; [email protected] (I.A.); [email protected] (Y.A.K.M.); [email protected] (S.M.H.); Department of Mathematics: Analysis, Logic and Discrete Mathematics, Ghent University, 9000 Ghent, Belgium 
 Department of Mathematical Sciences, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, Pakistan; [email protected] (I.A.); [email protected] (Y.A.K.M.); [email protected] (S.M.H.) 
 Department of Mathematics, Abbottabad University of Science and Technology, Abbottabad 22010, Pakistan; [email protected] 
 School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-gu, Seoul 06974, Korea; Department of Intelligent Energy and Industry, Chung-Ang University, Dongjak-gu, Seoul 06974, Korea 
First page
216
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
25043110
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2652972233
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.