Discussion Overview
The discussion revolves around the possibility of having a probability distribution for a random variable (rv) with an infinite mean. Participants explore examples, methods of construction, and the implications of such distributions, touching on both theoretical and practical aspects.
Discussion Character
- Exploratory
- Technical explanation
- Debate/contested
- Mathematical reasoning
Main Points Raised
- One participant questions the existence of a distribution with an infinite mean, linking it to the convergence of integrals or summations.
- Another participant confirms that it is possible to have such distributions, referencing a previous example from a probability class but unable to recall the specific density function.
- A suggestion is made to construct a distribution by starting with a non-converging sum and adjusting it to meet the criteria of a probability distribution, although the initial attempt does not yield a valid distribution.
- An explicit example is provided where a friend offers a payout of 2^k dollars with a specific probability distribution, which sums to 1 but results in an infinite expectation value.
- A participant mentions the Cauchy random variable, noting that it does not have a mean or variance, but questions whether this is equivalent to having an "infinite" mean.
Areas of Agreement / Disagreement
Participants generally agree that distributions with infinite means are possible, but there is no consensus on specific examples or the implications of such distributions. The discussion includes competing views on the nature of mean and variance in certain distributions.
Contextual Notes
Some participants express uncertainty regarding the definitions and conditions under which a mean can be considered infinite, as well as the implications of distributions that do not converge.