Weighted moments for a supercritical branching process in a varying or random environment

查看全文 作　　者：LI YingQiu1,2, HU YangLi1,2 & LIU QuanSheng1,3, 1College of Mathematics and Computing Sciences, Changsha University of Science and Technology, Changsha 410004, China;2College of Mathematics and Computer Sciences, Hunan Normal University, Changsha 410081, China;3LMAM, University of Bretgne-Sud, BP573, 56017 Vannes, France

出　　处：《Science China Mathematics》索引2011年第54卷第7期,共8页

基　　金：supported by National Natural Science Foundation of China (Grant No. 10771021);Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20104306110001);the Planned Science and Technology Project of Hunan Province (Grant Nos. 2010fj6036, 2009fi3098);the Scientific Research Fund of Hunan Provincial Education Department (Grant Nos. 08C120, 09C113, 09C059) 摘　　要：Let W be the limit of the normalized population size of a supercritical branching process in a varying or random environment. By an elementary method, we find sufficient conditions under which W has finite weighted moments of the form EWpl(W), where p > 1, l 0 is a concave or slowly varying function. 关键词：超临界分支随机环境加权人口规模环境规范慢变

相关文献

参考文献（11）
引证文献（11）
耦合文献（11）

参考文献(11)

引证文献(11)

耦合文献(11)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Weighted moments for a supercritical branching process in a varying or random environment

参考文献(11)

引证文献(11)

耦合文献(11)

用户提示