The Markov property and conditioning on the intermediate state give, for the full history through time ,
Condition this identity again on the smaller history . Its right-hand side is already determined by , so the tower property gives
Thus the sampled sequence is a time-homogeneous Markov chain with transition matrix . Checking only its one-time marginal distributions would not by itself establish the Markov property.
It is the every-second-step case of a subsampled Markov chain.

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