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

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Discussion Overview

The discussion revolves around calculating the expected value of the minimum of two independent random variables, A and B, which are uniformly distributed on the interval [0,1]. Participants explore various related expected values, including \(E((A+B)^2)\) and \(E(|A-B|)\), while reviewing basic probability concepts.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant presents a calculation for \(E(\min(A,B))\) using double integrals, arriving at a result of \(1/3\).
  • Another participant confirms the calculation and suggests a different approach using conditional expectations: \(E(\min(A,B))=E(A|A
  • A participant seeks assistance with finding \(E((A+B)^2)\) and proposes a calculation that yields \(7/6\) for this expected value.
  • Another participant provides a calculation for \(E(|A-B|)\) and finds it to be \(1/3\), noting a relationship between the expected values of the minimum and maximum of A and B.
  • There is a suggestion to calculate \(E(\max(A,B))-E(\min(A,B))\) as a potential method for finding expected values.
  • One participant reiterates the calculation for \(E(\min(A,B))\) and receives confirmation of its correctness, along with a suggestion to research 'Order Statistics'.

Areas of Agreement / Disagreement

Participants generally agree on the calculations for \(E(\min(A,B))\) and \(E(|A-B|)\), but there are multiple approaches and methods discussed without a consensus on the best or most efficient method for all calculations.

Contextual Notes

Some calculations depend on the assumptions of independence and uniform distribution of A and B. The discussions involve various mathematical steps that remain unresolved or are presented in different forms.

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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