Tightness property of a symmetric Markov process and the uniform large deviation principle

Masayoshi Takeda

研究成果: Article査読

8 被引用数 (Scopus)

抄録

Previously, we considered a large deviation for occupation measures of a symmetric Markov processes under the condition that its resolvent possesses a kind of tightness property. In this paper, we prove that if the Markov process is conservative, then the tightness property implies the uniform hyper-exponential recurrence, which leads us to the uniform large deviation principle.

本文言語English
ページ(範囲)4371-4383
ページ数13
ジャーナルProceedings of the American Mathematical Society
141
12
DOI
出版ステータスPublished - 2013

ASJC Scopus subject areas

  • 数学 (全般)
  • 応用数学

フィンガープリント

「Tightness property of a symmetric Markov process and the uniform large deviation principle」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル