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

  • Thread starter Thread starter Chris L T521
  • Start date Start date
Click For Summary
The problem discusses the probability that the largest of n independent and identically distributed exponential random variables exceeds the sum of the others. It is established that this probability can be expressed as \( P\{ M > \sum_{i=1}^n X_i - M\} = \frac{n}{2^{n-1}} \). The solution utilizes the memoryless property of the exponential distribution to derive the probability for one variable exceeding the sum of the others. By summing the probabilities for each variable, the final result is confirmed. This demonstrates a key property of exponential random variables in probability theory.
Chris L T521
Gold Member
MHB
Messages
913
Reaction score
0
Here's this week's problem.

-----

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
\[P\left\{ M > \sum_{i=i}^n X_i - M\right\} = \frac{n}{2^{n-1}}\]

-----

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

 
Physics news on Phys.org
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]
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
1
Views
3K
  • · Replies 25 ·
Replies
25
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 40 ·
2
Replies
40
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 16 ·
Replies
16
Views
4K