{"title":"Mild solution for $(\\rho ,k,\\Psi )$ -proportional Hilfer fractional Cauchy problem","authors":"Haihua Wang","doi":"10.1186/s13662-024-03813-8","DOIUrl":null,"url":null,"abstract":"<p>Hilfer fractional derivative is an important and interesting operator in fractional calculus, and it can be applicable in pure theories and other fields. It yields to other notable definitions, Ψ-Hilfer, <span>\\((k,\\Psi )\\)</span>-Hilfer derivatives, etc. Motivated by the concepts of the proportional fractional derivative and <span>\\((k,\\Psi )\\)</span>-Hilfer fractional derivative, we first introduce new definitions of integral and derivative, termed the <span>\\((\\rho ,k,\\Psi )\\)</span>-proportional integral and <span>\\((\\rho ,k,\\Psi )\\)</span>-proportional Hilfer fractional derivative. This type of fractional derivative is advantageous as it aligns with earlier studies on fractional differential equations. Additionally, we present a more generalized version of the <span>\\((\\rho ,\\alpha ,\\beta ,k,r)\\)</span>-resolvent family, followed by an exploration of its properties. By analyzing the generalized resolvent family, we examine the existence of mild solutions to the <span>\\((\\rho ,k,\\Psi )\\)</span>-proportional Hilfer fractional Cauchy problem, supported by an illustrative example to show the main result.</p>","PeriodicalId":49245,"journal":{"name":"Advances in Difference Equations","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Difference Equations","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1186/s13662-024-03813-8","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Hilfer fractional derivative is an important and interesting operator in fractional calculus, and it can be applicable in pure theories and other fields. It yields to other notable definitions, Ψ-Hilfer, \((k,\Psi )\)-Hilfer derivatives, etc. Motivated by the concepts of the proportional fractional derivative and \((k,\Psi )\)-Hilfer fractional derivative, we first introduce new definitions of integral and derivative, termed the \((\rho ,k,\Psi )\)-proportional integral and \((\rho ,k,\Psi )\)-proportional Hilfer fractional derivative. This type of fractional derivative is advantageous as it aligns with earlier studies on fractional differential equations. Additionally, we present a more generalized version of the \((\rho ,\alpha ,\beta ,k,r)\)-resolvent family, followed by an exploration of its properties. By analyzing the generalized resolvent family, we examine the existence of mild solutions to the \((\rho ,k,\Psi )\)-proportional Hilfer fractional Cauchy problem, supported by an illustrative example to show the main result.
期刊介绍:
The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions.
The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between.
The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations.
Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.