Reviewing Basic Probability: Solving for $E(min(A,B))$

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SUMMARY

The discussion focuses on calculating the expected value of the minimum of two independent random variables A and B, both uniformly distributed on the interval [0,1]. The correct calculation for \(E(\min(A,B))\) is confirmed to be \(1/3\) using double integrals. Additionally, the expected value of \((A+B)^2\) is calculated as \(7/6\), while the expected value of \(|A-B|\) is derived to be \(1/3\). The relationship between the expected values of the minimum and maximum of A and B is also highlighted, emphasizing the importance of understanding order statistics in probability theory.

PREREQUISITES
  • Understanding of independent random variables
  • Familiarity with uniform distribution on the interval [0,1]
  • Knowledge of double integrals in probability
  • Concept of order statistics in probability theory
NEXT STEPS
  • Study the concept of Order Statistics in probability theory
  • Learn about double integrals and their applications in calculating expected values
  • Explore the properties of uniform distributions and their implications
  • Investigate the relationship between expected values of minimum and maximum functions
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Students and professionals in statistics, mathematicians, and anyone interested in deepening their understanding of probability theory, particularly in the context of expected values and order statistics.

Jason4
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I'm trying to review basic probability; haven't looked at it in a couple of years. Am I on the right track here?

A and B are independent random variables, uniform distribution on $[0,1]$. What is $E(min(A,B))$ ?

$\displaystyle\int_{0}^{1}\int_{0}^{a}b\,db\,da + \displaystyle\int_{0}^{1} \int_{a}^{1}a\,db\,da$

$=\displaystyle\int_{0}^{1}\frac{a^2}{2}\,da+\int_{0}^{1}a-a^2\,da$

$=1/6+3/6-2/6=1/3$
 
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Jason said:
I'm trying to review basic probability; haven't looked at it in a couple of years. Am I on the right track here?

A and B are independent random variables, uniform distribution on $[0,1]$. What is $E(min(A,B))$ ?

$\displaystyle\int_{0}^{1}\int_{0}^{a}b\;db\;da + \displaystyle\int_{0}^{1} \int_{a}^{1}a\;db\;da$

$=\displaystyle\int_{0}^{1}\frac{a^2}{2}\;da+\int_{0}^{1}a-a^2\;da$

$=1/6+3/6-2/6=1/3$

That is correct, though you could use a line of explanation at the begining:

\(E(\min(A,B))=E(A|A<B)+E(B|A\ge B)\)

CB
 
Thanks Captain. I also need to find $E((A+B)^2)$ and $E(|A-B|)$.

For the first one:
\[E(A^2)+2E(A)E(B)+E(B^2)=1/3+2(1/4)+1/3)=7/6\]

Could you give me a hint for the second one?
 
Last edited:
$ \displaystyle \int_{0}^{1} \int_{0}^{1} |a-b| \ da \ db = \int_{0}^{1} \int_{b}^{1} (a-b) \ da \ db + \int_{0}^{1} \int_{0}^{b} -(a-b) \ da \ db =\frac{1}{3}$So $\frac{1}{3}$ is the expected distance between the two points. This sort of makes since since the expected value of min{A,B} is $\frac{1}{3}$, and the expected value of max{A,B} is $\frac{2}{3} $.
 
So I could just calculate $E(max(A,B))-E(min(A,B))$ ?
 
Jason said:
So I could just calculate $E(max(A,B))-E(min(A,B))$ ?
$\displaystyle \int_{0}^{1} \int_{0}^{1} |a-b| \ da \ db = \int_{0}^{1} \int_{b}^{1} (a-b) \ da \ db + \int_{0}^{1} \int_{0}^{b} -(a-b) \ da \ db$

$ \displaystyle = \Bigg( \int_{0}^{1} \int_{b}^{1} a \ da \ db + \int_{0}^{1} \int_{0}^{b} b \ da \ db \Bigg) - \Bigg( \int_{0}^{1} \int_{b}^{1} b \ da \ db + \int_{0}^{1} \int_{0}^{b} a \ da \ db \Bigg) $

$ \displaystyle = E(\max\{A,B\}) - E(\min\{A,B\})$
 
Jason said:
I'm trying to review basic probability; haven't looked at it in a couple of years. Am I on the right track here?

A and B are independent random variables, uniform distribution on $[0,1]$. What is $E(min(A,B))$ ?

$\displaystyle\int_{0}^{1}\int_{0}^{a}b\,db\,da + \displaystyle\int_{0}^{1} \int_{a}^{1}a\,db\,da$

$=\displaystyle\int_{0}^{1}\frac{a^2}{2}\,da+\int_{0}^{1}a-a^2\,da$

$=1/6+3/6-2/6=1/3$
It is correct. You might want to research 'Order Statistics'.
 

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