Proving that Y is a Markov Chain | Finite State Space and Transition Matrix P

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SUMMARY

The discussion centers on proving that the sequence Y = {Y_n} (n=0 to infinity), defined as Y_k = X_2k from the Markov Chain X = {X_n} (n=0 to infinity) with transition matrix P, is itself a Markov Chain. The participants assert that since X satisfies the Markov property, Y must also satisfy it due to its derivation from X. The key to the proof lies in formally verifying the Markov property for Y using the established properties of X.

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stochfreak
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Hello, This is my first question here. So, let's see how it goes. I need a proof to a simple problem. The proof seems so obvious that I am finding it hard to prove it. The question is as follows:

Let X = {X_n} (n=0 to infinity) denote a Markov Chain (MC) on a finite state space 'S' and with transition matrix 'P'. Consider the MC, Y = {Y_n} (n=0 to infinity), with the setting, Y_k = X_2k. Prove or disprove that Y is a MC.

On the face of it, it is apparent that Y must be a Markov Chain as it will have to satisfy the Markov property (because X satisfies it and Y is derived from it). But, how can we formally prove this?
 
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Welcome to PF stochfreak.

You can just check the definition of the Markov property (what is it?) using that X satisfies it.
 

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