Relative entropy between Markov transition rate matrices

نویسندگان

  • George Kesidis
  • Jean C. Walrand
چکیده

We derive the relative entropy between two Markov transition rate matrices from sample path considerations. 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 [4].

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عنوان ژورنال:
  • IEEE Trans. Information Theory

دوره 39  شماره 

صفحات  -

تاریخ انتشار 1993