{"title":"Some Families of Random Fields Related to Multiparameter Lévy Processes","authors":"Francesco Iafrate, Costantino Ricciuti","doi":"10.1007/s10959-024-01351-3","DOIUrl":null,"url":null,"abstract":"<p>Let <span>\\({\\mathbb {R}}^N_+= [0,\\infty )^N\\)</span>. We here make new contributions concerning a class of random fields <span>\\((X_t)_{t\\in {\\mathbb {R}}^N_+}\\)</span> which are known as multiparameter Lévy processes. Related multiparameter semigroups of operators and their generators are represented as pseudo-differential operators. We also provide a Phillips formula concerning the composition of <span>\\((X_t)_{t\\in {\\mathbb {R}}^N_+}\\)</span> by means of subordinator fields. We finally define the composition of <span>\\((X_t)_{t\\in {\\mathbb {R}}^N_+}\\)</span> by means of the so-called inverse random fields, which gives rise to interesting long-range dependence properties. As a byproduct of our analysis, we present a model of anomalous diffusion in an anisotropic medium which extends the one treated in Beghin et al. (Stoch Proc Appl 130:6364–6387, 2020), by improving some of its shortcomings.\n</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-21","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/s10959-024-01351-3","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
Let \({\mathbb {R}}^N_+= [0,\infty )^N\). We here make new contributions concerning a class of random fields \((X_t)_{t\in {\mathbb {R}}^N_+}\) which are known as multiparameter Lévy processes. Related multiparameter semigroups of operators and their generators are represented as pseudo-differential operators. We also provide a Phillips formula concerning the composition of \((X_t)_{t\in {\mathbb {R}}^N_+}\) by means of subordinator fields. We finally define the composition of \((X_t)_{t\in {\mathbb {R}}^N_+}\) by means of the so-called inverse random fields, which gives rise to interesting long-range dependence properties. As a byproduct of our analysis, we present a model of anomalous diffusion in an anisotropic medium which extends the one treated in Beghin et al. (Stoch Proc Appl 130:6364–6387, 2020), by improving some of its shortcomings.