Entropy rates, memory and model mismatch
Research context
postgraduate concept · established · As of 2026-10-10
For a stationary finite-alphabet process the block entropy per symbol tends to an entropy rate, while correlations can make it smaller than single-symbol entropy.
Key knowledge
For a stationary finite-alphabet process the block entropy per symbol tends to an entropy rate, while correlations can make it smaller than single-symbol entropy. Coding theorems need their own ergodicity/memory and error assumptions; a fitted finite-order Markov model estimates a particular conditional structure. Applying a memoryless code formula to changing or correlated data can misstate both rate and uncertainty.
Conditions and scope
- Stationarity is a mathematical property of the process law, not merely similar sample averages.
- Declare alphabet, memory model, block length and validation data before treating an empirical entropy estimate as a guarantee.
Sources · 1
References
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Evidence and review
Author checked this English statement, displayed equation where present and stated hypotheses against these source locations: §2.6 stationary entropy rate, Lemma 2.6.2, chapter 3 entropy ergodic theorem and chapter 11 source coding. The check is bounded to the recorded claims; no complete proof reconstruction, software proof replay or universal literature completeness is claimed.
2026-10-10 · Author source-body/statement/equation/domain check, with graph associations scoped individually. Separate independent content/source/inventory review is required before branch closure.
Entry details
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