{"title":"Stochastic Bernoulli Equation on the Algebra of Generalized Functions","authors":"Hafedh Rguigui","doi":"10.1007/s11253-023-02258-8","DOIUrl":null,"url":null,"abstract":"<p>Based on the topological dual space <span>\\({\\mathcal{F}}_{\\theta }^{*}\\left({\\mathcal{S}{\\prime}}_{\\mathbb{C}}\\right)\\)</span> of the space of entire functions with θ-exponential growth of finite type, we introduce a generalized stochastic Bernoulli–Wick differential equation (or a stochastic Bernoulli equation on the algebra of generalized functions) by using the Wick product of elements in <span>\\({\\mathcal{F}}_{\\theta }^{*}\\left({\\mathcal{S}{\\prime}}_{\\mathbb{C}}\\right)\\)</span>. This equation is an infinite-dimensional analog of the classical Bernoulli differential equation for stochastic distributions. This stochastic differential equation is solved and exemplified by several examples.</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s11253-023-02258-8","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
Based on the topological dual space \({\mathcal{F}}_{\theta }^{*}\left({\mathcal{S}{\prime}}_{\mathbb{C}}\right)\) of the space of entire functions with θ-exponential growth of finite type, we introduce a generalized stochastic Bernoulli–Wick differential equation (or a stochastic Bernoulli equation on the algebra of generalized functions) by using the Wick product of elements in \({\mathcal{F}}_{\theta }^{*}\left({\mathcal{S}{\prime}}_{\mathbb{C}}\right)\). This equation is an infinite-dimensional analog of the classical Bernoulli differential equation for stochastic distributions. This stochastic differential equation is solved and exemplified by several examples.