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.