Small Deviations of Stable Processes via Metric Entropy
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  • 作者:Wenbo V. Li and Werner Linde
  • 关键词:Stable processes ; small deviation ; metric entropy
  • 刊名:Journal of Theoretical Probability
  • 出版年:2004
  • 出版时间:January, 2004
  • 年:2004
  • 卷:17
  • 期:1
  • 页码:261-284
  • 全文大小:178.7 KB
  • 刊物类别:Mathematics and Statistics
  • 刊物主题:Mathematics
    Probability Theory and Stochastic Processes
    Statistics
  • 出版者:Springer Netherlands
  • ISSN:1572-9230
文摘
Let X=(X(t))tf(e) = - log\mathbbP(|| X ||E* < e)\phi (\varepsilon ) = - \log \mathbb{P}(\left\| X \right\|_{E^* } as 0. In particular, we prove that a lower bound for the metric entropy of u implies a lower bound for () under an additional assumption on E. As applications we obtain upper small deviation estimates for weighted -stable Levy motions, linear fractional -stable motions and d-dimensional -stable sheets. Our results rest upon an integral representation of L-valued operators as well as on small deviation results for Gaussian processes due to Kuelbs and Li and to the authors.
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