{"title":"具有Hermite项的大Wishart矩阵的非中心极限定理","authors":"Charles-Philippe Diez, C. Tudor","doi":"10.31390/JOSA.2.1.02","DOIUrl":null,"url":null,"abstract":". We analyze the limit behavior of the Wishart matrix W n,d = X n,d X Tn,d constructed from an n × d random matrix X n,d whose entries are given by the increments of the Hermite process. These entries are correlated on the same row, independent from one row to another and their probability distribution is di ff erent on di ff erent rows. We prove that the Wishart matrix converges in law, as d → ∞ , to a diagonal random matrix whose diagonal elements are random variables in the second Wiener chaos. We also estimate the Wasserstein distance associated to this convergence.","PeriodicalId":263604,"journal":{"name":"Journal of Stochastic Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Noncentral Limit Theorem for Large Wishart Matrices with Hermite Entries\",\"authors\":\"Charles-Philippe Diez, C. Tudor\",\"doi\":\"10.31390/JOSA.2.1.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". We analyze the limit behavior of the Wishart matrix W n,d = X n,d X Tn,d constructed from an n × d random matrix X n,d whose entries are given by the increments of the Hermite process. These entries are correlated on the same row, independent from one row to another and their probability distribution is di ff erent on di ff erent rows. We prove that the Wishart matrix converges in law, as d → ∞ , to a diagonal random matrix whose diagonal elements are random variables in the second Wiener chaos. We also estimate the Wasserstein distance associated to this convergence.\",\"PeriodicalId\":263604,\"journal\":{\"name\":\"Journal of Stochastic Analysis\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Stochastic Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31390/JOSA.2.1.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stochastic Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31390/JOSA.2.1.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
. 本文分析了由n × d随机矩阵X n,d构造的Wishart矩阵W n,d = X n,d X Tn,d的极限行为,该随机矩阵X n,d的项由Hermite过程的增量给出。这些项在同一行上是相关的,从一行到另一行是独立的,它们的概率分布在不同的行上是不同的。在第二次Wiener混沌中,我们证明了Wishart矩阵在d→∞时收敛于一个对角元为随机变量的对角随机矩阵。我们还估计了与此收敛相关的Wasserstein距离。
Noncentral Limit Theorem for Large Wishart Matrices with Hermite Entries
. We analyze the limit behavior of the Wishart matrix W n,d = X n,d X Tn,d constructed from an n × d random matrix X n,d whose entries are given by the increments of the Hermite process. These entries are correlated on the same row, independent from one row to another and their probability distribution is di ff erent on di ff erent rows. We prove that the Wishart matrix converges in law, as d → ∞ , to a diagonal random matrix whose diagonal elements are random variables in the second Wiener chaos. We also estimate the Wasserstein distance associated to this convergence.