1. Definition
- let N(t) be a renewal process
- Let R_n = reward earned at n-th renewal
- Assume R_n are i.i.d, but can depend on X_n (length of the n-th cycle)
Then R(t) = \sum^{N(t)}_{n=1} R_n is a renewal reward process.
Intuitive explanation: R(t) = cumulative reward earned up to time t
2. Renewal Reward Theorem
Proposition 7.3
- lim_{t \to \infty} \frac{R(t)}{t} = \frac{E[R_n]}{E[X_n]}
- lim_{t \to \infty} \frac{E[R(t)]}{t} = \frac{E[R_n]}{E[X_n]}
Provided E[R_n] < \infty, E[X_n] < \infty
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