Discussion Overview
The discussion revolves around finding the probability mass function (PMF) of a random variable \(Y\) defined as a transformation of another random variable \(X\). The transformation is given by \(Y = \sin\Big(\frac{\pi}{2X}\Big)\), with a specified PMF for \(X\) where \(p_X[k] = \frac{1}{5}\) for \(k = 0,1,\ldots, 4\). The scope includes theoretical aspects of probability distributions and transformations of random variables.
Discussion Character
- Exploratory
- Technical explanation
- Debate/contested
Main Points Raised
- One participant inquires about methods to find the PMF of \(Y\) given the transformation from \(X\).
- Another participant suggests that there may be multiple approaches to solving the problem and references theorems related to characteristic functions of transformed random variables.
- Some participants express confusion regarding the interpretation of the PMF \(p_X[k]\) and whether it implies \(P\{X=k\} = \frac{1}{5}\) for \(k = 0,1,2,3,4\).
- Concerns are raised about the definition of \(Y\) when \(X=0\), indicating potential difficulties in the transformation.
Areas of Agreement / Disagreement
Participants express uncertainty about the problem's resolution, with some indicating that the problem appears to be solved while others note the absence of a clear solution. There is no consensus on the approach to finding the PMF of \(Y\).
Contextual Notes
Participants highlight the challenge of defining \(Y\) when \(X=0\) and the implications this has for the transformation. There is also ambiguity regarding the interpretation of the PMF for \(X\).