{"title":"西尔皮斯基垫圈上的分数稳定随机场","authors":"Fabrice Baudoin , Céline Lacaux","doi":"10.1016/j.spa.2024.104481","DOIUrl":null,"url":null,"abstract":"<div><div>We define and study fractional stable random fields on the Sierpiński gasket. Such fields are formally defined as <span><math><mrow><msup><mrow><mrow><mo>(</mo><mo>−</mo><mi>Δ</mi><mo>)</mo></mrow></mrow><mrow><mo>−</mo><mi>s</mi></mrow></msup><msub><mrow><mi>W</mi></mrow><mrow><mi>K</mi><mo>,</mo><mi>α</mi></mrow></msub></mrow></math></span>, where <span><math><mi>Δ</mi></math></span> is the Laplace operator on the gasket and <span><math><msub><mrow><mi>W</mi></mrow><mrow><mi>K</mi><mo>,</mo><mi>α</mi></mrow></msub></math></span> is a stable random measure. Both Neumann and Dirichlet boundary conditions for <span><math><mi>Δ</mi></math></span> are considered. Sample paths regularity and scaling properties are obtained. The techniques we develop are general and extend to the more general setting of the Barlow fractional spaces.</div></div>","PeriodicalId":51160,"journal":{"name":"Stochastic Processes and their Applications","volume":"178 ","pages":"Article 104481"},"PeriodicalIF":1.1000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fractional stable random fields on the Sierpiński gasket\",\"authors\":\"Fabrice Baudoin , Céline Lacaux\",\"doi\":\"10.1016/j.spa.2024.104481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We define and study fractional stable random fields on the Sierpiński gasket. Such fields are formally defined as <span><math><mrow><msup><mrow><mrow><mo>(</mo><mo>−</mo><mi>Δ</mi><mo>)</mo></mrow></mrow><mrow><mo>−</mo><mi>s</mi></mrow></msup><msub><mrow><mi>W</mi></mrow><mrow><mi>K</mi><mo>,</mo><mi>α</mi></mrow></msub></mrow></math></span>, where <span><math><mi>Δ</mi></math></span> is the Laplace operator on the gasket and <span><math><msub><mrow><mi>W</mi></mrow><mrow><mi>K</mi><mo>,</mo><mi>α</mi></mrow></msub></math></span> is a stable random measure. Both Neumann and Dirichlet boundary conditions for <span><math><mi>Δ</mi></math></span> are considered. Sample paths regularity and scaling properties are obtained. The techniques we develop are general and extend to the more general setting of the Barlow fractional spaces.</div></div>\",\"PeriodicalId\":51160,\"journal\":{\"name\":\"Stochastic Processes and their Applications\",\"volume\":\"178 \",\"pages\":\"Article 104481\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastic Processes and their Applications\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S030441492400187X\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Processes and their Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S030441492400187X","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Fractional stable random fields on the Sierpiński gasket
We define and study fractional stable random fields on the Sierpiński gasket. Such fields are formally defined as , where is the Laplace operator on the gasket and is a stable random measure. Both Neumann and Dirichlet boundary conditions for are considered. Sample paths regularity and scaling properties are obtained. The techniques we develop are general and extend to the more general setting of the Barlow fractional spaces.
期刊介绍:
Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.
Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.