FUNCTIONS OF PROCESSES WITH MARKOVIAN STATES.

Abstract

Given a process (Yn), let epsilon be a state of finite rank. An example is given in which Yn = f(Xn), (Xn) is countable state, stationary, Markov, (Yn) is stationary with one state each of ranks 1 and 3, yet it is impossible to take (Xn) to be finite state Markov. In general it is proved that Yn = f(Xn) where epsilon = f(epsilon i) (i = 1,2,...), delta = f(delta) for delta not equal to epsilon and the epsilon i are Markovian states. If epsilon has rank 2 it is proved that two states suffice and that the rank of delta not equal to epsilon in (Xn) is the same as in (Yn). Finally, it is proved that if epsilon has rank 2 and (Yn) is stationary, (Xn) is stationary. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 21, 1967
Accession Number
AD0657176

Entities

People

  • Herman Rubin
  • Martin Fox

Organizations

  • Michigan State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Stationary

Fields of Study

  • Mathematics

Readers

  • Analytical Mechanics
  • Mathematical Modeling and Probability Theory.