Expand E[(1-tX)^-1]: First 3 Terms

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The discussion focuses on expanding the expression E[(1-tX)^-1] for the first three terms, where E denotes the Expected Value. The key formula utilized is E[f(X)] = ∫_ℝ f(x) P(X ∈ dx), which integrates the function f(x) over the probability distribution of X. The binomial expansion is also applied, leveraging the linearity of the integral to derive the necessary terms in the expansion.

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boneill3
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Hi Guys,
I have been asked to do expand E[(1-tX)^-1] for the first 3 terms
Is there are good formula to use to do this?

with the value E, I take it is is the Expected Value. does that get included in the expansion?
regards
Brendan
 
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You need to use the fact that
[tex]\mathbb{E}[f(X)]=\int_{\mathbb{R}}f(x) \mathbb{P}(X \in dx)[/tex]
and the binomial expansion using the linearity of the integral.
 

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