Markov Chain Conditional Expectation

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tunaaa
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Hello, in relation to Markov chains, could you please clarify the following equations:

j5b987.jpg


In particular, could you please expand on why the first line is equal. Surely from
gif.gif
, along with the first equation, this implies that:

2nk01nr.gif


I just don't see why they are all equal. Please could you provide some intuition on this. Thanks
 

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tunaaa said:
Hello, in relation to Markov chains, could you please clarify the following equations:

j5b987.jpg


In particular, could you please expand on why the first line is equal. Surely from
gif.gif
, along with the first equation, this implies that:

2nk01nr.gif


I just don't see why they are all equal. Please could you provide some intuition on this. Thanks

The Markov property is where the probability of the present state n is conditional only on the probability of the immediately preceding state n-1. There's no dependence on prior states n-i for integer i; [tex]1<i\leq n[/tex].
 

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OK, sure - but how is that fact relevant to understanding the above equation? Thanks.
 
tunaaa said:
OK, sure - but how is that fact relevant to understanding the above equation? Thanks.

Given the Markov property, if [tex]P(X_{n}=j|(X_{0}=j)[/tex], then under what two conditions could this be true?
 
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