Is the largest exponential random variable greater than the sum of the others?

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In summary, An exponential random variable is a type of continuous probability distribution used to model the time between events in a Poisson process. The largest exponential random variable can be calculated by finding the maximum value of the probability density function, and the sum of exponential random variables follows a gamma distribution. To determine if the largest variable is greater than the sum, the maximum value of the PDF for the largest variable is compared to the PDF of the sum. Some real-world applications of comparing exponential random variables include analyzing waiting times and failure rates in various fields, studying natural phenomena, and quality control.
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Chris L T521
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Here's this week's problem.

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Problem: Let $X_1,X_2,\ldots X_n$ be i.i.d. exponential random variables. Show that the probability that the largest of them is greater than the sum of the others is $n/2^{n-1}$. That is, if $M=\max\limits_j X_j$ then show that
\[P\left\{ M > \sum_{i=i}^n X_i - M\right\} = \frac{n}{2^{n-1}}\]

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Hint: [sp]What is $\displaystyle P\left(X_1 > \sum_{i=2}^n X_i\right)$?[/sp]

 
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No one answered this week's problem. You can find the solution below.

[sp]We first note that
\[\begin{aligned} P\left\{X_1 > \sum_{i=2}^n X_i\right\} = &P\{X_1>X_2\} P\{X_1-X_2>X_3\mid X_1>X_2\} \\ &\times P\{X_1-X_2-X_3>X_4\mid X_1>X_2+X_3\}\\ &\times \ldots\\ &\times P\{X_1-X_2 - \ldots - X_{n-1} > X_n \mid X_1> X_2 + \ldots + X_{n-1}\} \\ = & (1/2)^{n-1}\end{aligned}\]
due to the memoryless property of the exponential distribution. Therefore, we now see that
\[P\left\{M > \sum_{i=1}^n X_i - M\right\} = \sum_{i=1}^nP\left\{X_1 > \sum_{j\neq i}^n X_i\right\} = \sum_{i=1}^n \frac{1}{2^{n-1}} = \frac{n}{2^{n-1}}\][/sp]
 

FAQ: Is the largest exponential random variable greater than the sum of the others?

What is an exponential random variable?

An exponential random variable is a type of continuous probability distribution that models the time between events in a Poisson process, where events occur continuously and independently at a constant rate. It is often used in statistics and probability to model waiting times or failure rates.

How do you calculate the largest exponential random variable?

The largest exponential random variable is calculated by finding the maximum value of the probability density function (PDF) for the given distribution. This can be done by taking the derivative of the PDF and setting it equal to 0, then solving for the variable that maximizes the function.

What is the sum of exponential random variables?

The sum of exponential random variables follows a gamma distribution, which is a continuous probability distribution that is often used to model waiting times or failure rates. It is a more general form of the exponential distribution and can be calculated by summing the individual exponential variables.

How do you determine if the largest exponential random variable is greater than the sum of the others?

To determine if the largest exponential random variable is greater than the sum of the others, you can compare the maximum value of the PDF for the largest variable to the PDF of the sum of the other variables. If the maximum value of the PDF for the largest variable is greater than the PDF of the sum, then the largest variable is greater than the sum of the others.

What are some real-world applications of comparing exponential random variables?

Comparing exponential random variables is often used in fields such as finance, economics, and engineering to model and analyze waiting times and failure rates. It can also be applied in studying natural phenomena, such as the time between earthquakes or the time between biological events. Additionally, it can be used in quality control to compare the performance of different systems or processes.

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