Question on Discrete Parameter Markov Chains

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I am required to find a formula expressing the probability of return to some state in a Markov chain at time n in terms of the probability of return to that state at time n - k and the probability of first return at time k. I cannot find this in my notes, and I have tried looking at several online resources. Can anyone help me?
 
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It is no longer necessary for you to answer this question as I have just discovered the answer elsewhere.
 
You could just derive it. How many ways can you return at time n?

One way is to have time n be the first time you return.
A second way is to return at time 1, and then have n be the next time you return.
Yet another way is to return at time 2, and then have n be the next time you return...
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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