Relative entropy between Markov transition rate matrices

G. Kesidis, J. Walrand

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


The relative entropy between two Markov transition rate matrices from sample path considerations is derived. This relative entropy is interpreted as a 'level 2.5' large deviations action functional. That is, the level two large deviations action functional for empirical distributions of continuous-time Markov chains can be derived from the relative entropy using the contraction mapping principle.

Original languageEnglish (US)
Pages (from-to)1056-1057
Number of pages2
JournalIEEE Transactions on Information Theory
Issue number3
StatePublished - 1993

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences


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