{"title":"Properties and applications of the Bicomplex Miller-Ross function","authors":"Snehasis Bera, Sourav Das, Abhijit Banerjee","doi":"arxiv-2408.13246","DOIUrl":null,"url":null,"abstract":"In this work, Miller Ross function with bicomplex arguments has been\nintroduced. Various properties of this function including recurrence relations,\nintegral representations and differential relations are established.\nFurthermore, the bicomplex holomorphicity and Taylor series representation of\nthis function are discussed, along with the derivation of a differential\nequation. Finally, as applications some relations of fractional order\nderivatives and solutions for the bicomplex extension of the generalized\nfractional kinetic equation involving the bicomplex Miller Ross function are\nderived.","PeriodicalId":501142,"journal":{"name":"arXiv - MATH - Complex Variables","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Complex Variables","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.13246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, Miller Ross function with bicomplex arguments has been
introduced. Various properties of this function including recurrence relations,
integral representations and differential relations are established.
Furthermore, the bicomplex holomorphicity and Taylor series representation of
this function are discussed, along with the derivation of a differential
equation. Finally, as applications some relations of fractional order
derivatives and solutions for the bicomplex extension of the generalized
fractional kinetic equation involving the bicomplex Miller Ross function are
derived.