Expectation Inequality for Positive Random Variables

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Homework Help Overview

The discussion revolves around proving an inequality involving the expectation of a positive random variable, specifically that E(X) is greater than a multiplied by the probability that X exceeds a positive constant a. Participants are exploring the implications of this inequality within the context of probability theory and random variables.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • One participant attempts to demonstrate the inequality using the exponential distribution but acknowledges the limitation of this approach for a general proof. Others question the validity of the problem statement, particularly regarding the conditions under which the inequality holds, citing examples from normal distributions and the implications of non-negativity of X.

Discussion Status

The discussion is active, with participants exploring various interpretations of the problem statement and questioning the assumptions involved. Some guidance has been offered regarding the mathematical representation of the expectation, but no consensus has been reached on the validity of the original inequality.

Contextual Notes

There is a noted ambiguity in the problem statement regarding the use of 'greater than' versus 'greater than or equal to.' Additionally, the non-negativity of the random variable X is emphasized, which may influence the interpretation of the inequality.

theperthvan
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Homework Statement


Prove that
E(X) > a.P(X>a)


Homework Equations


E(X) is expectation, a is a positive constant and X is the random variable.
(Note, > should be 'greater than or equal to' but I'm not too sure how to do it)


The Attempt at a Solution


Well I can show it easy enough for X~Exp(h), but of course this is not a general proof.
And I played around a bit with P(X>a)=1-F(a) where F is the cdf, but yeah. That's all I could really do. I just don't really get how the a factor comes in.
 
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Take P(x) to be a normal distribution centered at 0. The E(x)=0. Yet a.P(x>a) is clearly positive for a>0. There's something wrong with the problem statement. '>=' is fine for greater than or equal to.
 
Dick said:
Take P(x) to be a normal distribution centered at 0. The E(x)=0. Yet a.P(x>a) is clearly positive for a>0. There's something wrong with the problem statement. '>=' is fine for greater than or equal to.

Sorry, X is non-negative.
 
Ok then. Define E(X) as an integral and split the integral into the ranges 0-a and a-infinity. Drop the first integral and think about approximating the second by something smaller.
 

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