Ergodicity and Steady-State-Equilibrium Conditions for Markov Chains.

Abstract

Generalized stationary Markov chains with denumberable state space are considered. For irreducible and aperiodic such chains, some sufficient conditions for ergodicity and steady state equilibrium are developed. The conditions for ergodicity are generalizations of previously proposed such conditions, and they are more tractable for certain applications. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA151038

Entities

People

  • L. Georgiadis
  • P. Papantoni-kazakos

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Communication Systems
  • Computer Science
  • Connecticut
  • Electrical Engineering
  • Engineering
  • Ergodic Processes
  • Markov Chains
  • Multiple Access
  • Probability
  • Random Variables
  • Scientific Research
  • Security
  • Stationary
  • Steady State
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.

Technology Areas

  • Space