Analyzing the Monotonicity of Information Aging in Remote Estimation Systems

The author explores how the monotonicity of information aging is affected by the divergence from being a Markov chain in remote estimation systems, highlighting non-monotonic behaviors. By using a new information-theoretic tool called ǫ-Markov chain, the study reveals insights into the relationship between data freshness and inference error.