Traces of symmetric markov processes and their characterizations

Zhen Qlng Chen*, Masatoshi Fukushima, Jiangang Ying

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

Time change is one of the most basic and very useful transformations for Markov processes. The time changed process can also be regarded as the trace of the original process on the support of the Revuz measure used in the time change. In this paper we give a complete characterization of time changed processes of an arbitrary symmetric Markov process, in terms of the Beurling-Deny decomposition of their associated Dirichlet forms and of Feller measures of the process. In particular, we determine the jumping and killing measure (or, equivalently, the Lévy system) for the time-changed process. We further discuss when the trace Dirichlet form for the time changed process can be characterized as the space of finite Douglas integrals defined by Feller measures. Finally, we give a probabilistic characterization of Feller measures in terms of the excursions of the base process.

Original languageEnglish
Pages (from-to)1052-1102
Number of pages51
JournalAnnals of Probability
Volume34
Issue number3
DOIs
Publication statusPublished - May 2006
Externally publishedYes

Keywords

  • Dirichlet form
  • Douglas integral
  • Energy functional
  • Feller measure
  • Positive continuous additive functional
  • Reflected Dirichlet space
  • Revuz measure
  • Stochastic analysis
  • Supplementary Feller measure
  • Symmetric right process
  • Time change
  • Trace

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