Averaging over the upper sum limit of a discrete function

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SUMMARY

The discussion centers on the mathematical expression X = ∑^{L}_{k=1} f(k)/L, where f(k) is a continuous random function and L is a random discrete variable. It explores whether X can be approximated by the expression ∑^{E[L]}_{k=1} f(k), where E[L] represents the expected value of L. The conclusion drawn is that this approximation is not universally valid, particularly when f(k) behaves differently below and above E[L], leading to discrepancies in the sums based on the value of L.

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nikozm
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Hi,

Let the following function:

X = ∑^{L}_{k=1} f(k)/L, where f(k) is a continuous random function and L is a random discrete number. Both L and f(k) are non negative random variables. Thus, X is the average of f(k) with respect to L.

Is it right to say that X equals (or approximately) to ∑^{E[L]}_{k=1} f(k), where E[L] is the average discrete value of L ?
 
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Not necessarily. Suppose f is constant for k < E(L) and increasing afterwards. The second sum is fixed, while the first sum would = second sum for L < E(L), but greater for L > E(L).
 

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