Proving probability inequality

In summary, we need to prove that for a>0 and a non-negative function X, the sum of probabilities of X being greater than an integer multiple of a is greater than or equal to 1/a times the expected value of X minus a, and less than or equal to the expected value of X divided by a. The attempt at a solution involves using the indicator function and setting Y = X/a to simplify the problem.
  • #1
Lily@pie
109
0

Homework Statement



Prove the following
a>0, X is a non-negative function

[itex]Ʃ_{n\in N} P(X>an)≥\frac{1}{a}(E[X]-a)[/itex]

[itex]Ʃ_{n\in N} P(X>an)≤\frac{E[X]}{a}[/itex]

The Attempt at a Solution



I know that
[itex]\sum_{n\in N} P(X>an)=\sum_{k \in N} kP((k+1)a≥X>ka)=\sum_{k \in N} E[k1_{[(k+1)a,ka)}(X)][/itex]
where [itex]1_{[(k+1)a,ka)}[/itex] is the indicator function.

I'm not sure how to preceed from here.

All I know is that for all ε>0, [itex]E[ε1_{[ε,∞)}(X)]≤E[X][/itex]
 
Last edited:
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  • #2
The second is not true. Is there a factor 1/a missing on the right?
 
  • #3
haruspex said:
The second is not true. Is there a factor 1/a missing on the right?

Sorry, my bad... I've edited it...
 
  • #4
You can eliminate a by defining Y = X/a. Does that help?
 

Related to Proving probability inequality

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