In this study, we present and explore extended beta matrix functions (EBMFs) and their key properties. By utilizing the beta matrix function (BMF), we introduce novel extensions of the Gauss hypergeometric matrix function (GHMF) and Kummer hypergeometric matrix function (KHMF). We delve into their integral representations, recurrence relations, transformation properties, and differential formulas. Additionally, we investigate their statistical applications, mainly focusing on the beta distribution, and derive expressions for the mean, variance, and moment-generating functions. Furthermore, we apply EBMFs to develop the Appell matrix function (AMF) and Lauricella matrix function (LMF) and their integral forms.
Beta matrix function Gauss and Kummer hypergeometric matrix functions Appell and Lauricella matrix functions
Primary Language | English |
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Subjects | Mathematical Methods and Special Functions |
Journal Section | Research Article |
Authors | |
Early Pub Date | December 30, 2024 |
Publication Date | December 31, 2024 |
Submission Date | August 17, 2024 |
Acceptance Date | November 11, 2024 |
Published in Issue | Year 2024 Issue: 49 |