Asymptotic Equipartition Property - AEP For Non-stationary Discrete-time Source Producing Independent Symbols

AEP For Non-stationary Discrete-time Source Producing Independent Symbols

The assumptions of stationarity/ergodicity/identical distribution of random variables is not essential for the AEP to hold. Indeed, as is quite clear intuitively, the AEP requires only some form of the law of large numbers to hold, which is fairly general. However, the expression needs to be suitably generalized, and the conditions need to be formulated precisely.

We assume that the source is producing independent symbols, with possibly different output statistics at each instant. We assume that the statistics of the process are known completely, that is, the marginal distribution of the process seen at each time instant is known. The joint distribution is just the product of marginals. Then, under the condition (which can be relaxed) that for all i, for some M>0, the following holds (AEP):


\lim_{n\to\infty}\Pr\left=1\qquad \forall \epsilon>0

where

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