{"title":"First exit and Dirichlet problem for the nonisotropic tempered $$\\alpha$$ -stable processes","authors":"Xing Liu, Weihua Deng","doi":"10.1007/s00180-024-01462-9","DOIUrl":null,"url":null,"abstract":"<p>This paper discusses the first exit and Dirichlet problems of the nonisotropic tempered <span>\\(\\alpha\\)</span>-stable process <span>\\(X_t\\)</span>. The upper bounds of all moments of the first exit position <span>\\(\\left| X_{\\tau _D}\\right|\\)</span> and the first exit time <span>\\(\\tau _D\\)</span> are explicitly obtained. It is found that the probability density function of <span>\\(\\left| X_{\\tau _D}\\right|\\)</span> or <span>\\(\\tau _D\\)</span> exponentially decays with the increase of <span>\\(\\left| X_{\\tau _D}\\right|\\)</span> or <span>\\(\\tau _D\\)</span>, and <span>\\(\\mathrm{E}\\left[ \\tau _D\\right] \\sim \\mathrm{E}\\left[ \\left| X_{\\tau _D}-\\mathrm{E}\\left[ X_{\\tau _D}\\right] \\right| ^2\\right]\\)</span>, <span>\\(\\mathrm{E}\\left[ \\tau _D\\right] \\sim \\left| \\mathrm{E}\\left[ X_{\\tau _D}\\right] \\right|\\)</span>. Next, we obtain the Feynman–Kac representation of the Dirichlet problem by employing the semigroup theory. Furthermore, averaging the generated trajectories of the stochastic process leads to the solution of the Dirichlet problem, which is also verified by numerical experiments.</p>","PeriodicalId":55223,"journal":{"name":"Computational Statistics","volume":"23 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Statistics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00180-024-01462-9","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper discusses the first exit and Dirichlet problems of the nonisotropic tempered \(\alpha\)-stable process \(X_t\). The upper bounds of all moments of the first exit position \(\left| X_{\tau _D}\right|\) and the first exit time \(\tau _D\) are explicitly obtained. It is found that the probability density function of \(\left| X_{\tau _D}\right|\) or \(\tau _D\) exponentially decays with the increase of \(\left| X_{\tau _D}\right|\) or \(\tau _D\), and \(\mathrm{E}\left[ \tau _D\right] \sim \mathrm{E}\left[ \left| X_{\tau _D}-\mathrm{E}\left[ X_{\tau _D}\right] \right| ^2\right]\), \(\mathrm{E}\left[ \tau _D\right] \sim \left| \mathrm{E}\left[ X_{\tau _D}\right] \right|\). Next, we obtain the Feynman–Kac representation of the Dirichlet problem by employing the semigroup theory. Furthermore, averaging the generated trajectories of the stochastic process leads to the solution of the Dirichlet problem, which is also verified by numerical experiments.
期刊介绍:
Computational Statistics (CompStat) is an international journal which promotes the publication of applications and methodological research in the field of Computational Statistics. The focus of papers in CompStat is on the contribution to and influence of computing on statistics and vice versa. The journal provides a forum for computer scientists, mathematicians, and statisticians in a variety of fields of statistics such as biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge based systems, and Bayesian computing. CompStat publishes hardware, software plus package reports.