Is the Memoryless Property of Exponentials Affected by an Upper Bound?

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Homework Help Overview

The discussion revolves around the properties of exponential random variables, specifically focusing on the implications of the memoryless property when an upper bound is applied. Participants are examining the calculation of conditional probabilities and expected values within a specified range.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the calculation of the expected value of an exponential random variable given a range, questioning the validity of the integral approach and the implications of the memoryless property. Some participants suggest that the conditional probability should be evaluated differently, while others raise concerns about the impact of the upper bound on the memoryless property.

Discussion Status

There is an ongoing exploration of the correct approach to calculating the expected value and conditional probabilities. Some participants have provided insights into the necessary adjustments for the calculations, particularly regarding the division by the cumulative distribution function (CDF) values. Multiple interpretations of the memoryless property in relation to the upper bound are being discussed.

Contextual Notes

Participants are working within the constraints of the properties of exponential distributions and the specific conditions imposed by the problem, including the continuous nature of the random variable and the defined range for the expected value calculation.

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Homework Statement


Let x be an exponential random variable with lamda = .5

P(x=5|2<x<9} = 0 since exponential is continuous => probability of any single number = 0
Calculate E[x| 2<x<9] = integral from 2 to 9 of (x* .5*exp(-.5*x)) dx ? is this true or is there something wrong because of the memoryless property of exponentials?

The Attempt at a Solution

 
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hellokitten said:
Calculate E[x| 2<x<9] = integral from 2 to 9 of (x* .5*exp(-.5*x)) dx ? is this true or is there something wrong because of the memoryless property of exponentials?
No, that equation is not quite right. Imagine reducing the given range to a very narrow one. The expected value should then be some value in that range, but your integral will tend to zero. What have you forgotten?

I don't understand why you think it would violate the memorylessness though. The conditional is not saying anything about the outcome of a previous trial; it's giving you information about the outcome of the present trial.
 
P(5|2<x<9) often is referring to the PDF evaluated at 5 divided by the (cdf at 9 - cdf at 2)
The expected value integral looks okay to me.
 
"Give that 2< x< 9" means that the probability that x is beween 2 and 9 is 1. The "conditional probability" that "a\le x\le b' where, of course, 2&lt; a&lt; b&lt; 9, is \frac{\int_a^b e^{-.5t}dt}{\int_2^9 e^{-.5t}dt}
 
RUber said:
The expected value integral looks okay to me.
Yes, the integral is ok in itself, but
RUber said:
... divided by the (cdf at 9 - cdf at 2)
Exactly - the division is missing.
 
hellokitten said:

Homework Statement


Let x be an exponential random variable with lamda = .5

P(x=5|2<x<9} = 0 since exponential is continuous => probability of any single number = 0
Calculate E[x| 2<x<9] = integral from 2 to 9 of (x* .5*exp(-.5*x)) dx ? is this true or is there something wrong because of the memoryless property of exponentials?

The Attempt at a Solution


hellokitten said:

Homework Statement


Let x be an exponential random variable with lamda = .5

P(x=5|2<x<9} = 0 since exponential is continuous => probability of any single number = 0
Calculate E[x| 2<x<9] = integral from 2 to 9 of (x* .5*exp(-.5*x)) dx ? is this true or is there something wrong because of the memoryless property of exponentials?

The Attempt at a Solution


Because of the upper bound ##X < 9## the memoryless property does not apply in full. However, it applies in part. Conditioned on ##X > 2##, the (conditional) distribution of ##X## is the same as that of ##2+Y##, where ##Y \sim \text{Expl}(\lambda = 0.5)##. We can thus write
E(X | 2 &lt; X &lt; 9) = 2 + E(Y|Y &lt; 7) = 2 + E(X | X &lt; 7)
Whether or not you think this is useful is for you to decide.
 
Last edited:

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