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  • 标题:Gaussian integrability of distance function under the Lyapunov condition
  • 本地全文:下载
  • 作者:Liu, Yuan
  • 期刊名称:Electronic Communications in Probability
  • 印刷版ISSN:1083-589X
  • 出版年度:2015
  • 卷号:20
  • 期号:0
  • 页码:1-10
  • DOI:10.1214/ECP.v20-3838
  • 语种:English
  • 出版社:Electronic Communications in Probability
  • 摘要:In this note we give a direct proof of the Gaussian integrability of distance function as $\mu e^{\delta d^2(x,x_0)} < \infty$ for some $\delta>0$ provided the Lyapunov condition holds for symmetric diffusion operators, which answers a question by Cattiaux, Guillin, and Wu. The similar argument still works for diffusions processes with unbounded diffusion coefficients and for jump processes such as birth-death chains. An analogous discussion is also made under the Gozlan's condition.
  • 关键词:Gaussian integrability; Lyapunov condition; diffusion process; jump process;26D10; 60E15; 60J60
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