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This article about the converse though - if you have twin primes is the central value more likely to be highly composite? Your statement can be true and this se
by sweezyjeezy 5y ago
This article about the converse though - if you have twin primes is the central value more likely to be highly composite? Your statement can be true and this second statement not be true.
- feoren 5y agoAssume (1) A -> B, (2) A is sometimes true, and (3) B is sometimes false. Then isn't it provably true that P(A | B) > P(B)? In other words, if highly composite numbers essentially "cause" twin primes, then given a twin prime, they must be more likely to contain a highly composite number between them. Major edit: Clearly, P(twin prime | highly composite) > P(twin prime) -- this is GP's statement. You're (and the article's) question is: ok, what about P(highly composite | twin prime)? Well, Bayes rule says: P(highly composite | twin prime) * P(twin prime) = P(twin prime | highly composite) * P(highly composite). We're comparing P(highly composite | twin prime) vs. P(highly composite). But we know P(twin prime | highly composite) > P(twin prime) based on GP's reasoning. So P(highly composite | twin prime) * P(twin prime) = P(twin prime) * C * P(highly composite) for some C > 1. Then P(highly composite | twin prime) = C * P(highly composite) for some C > 1, and we know P(highly composite | twin prime) > P(highly composite) Doesn't this more or less prove the question posed in the article?
- sweezyjeezy 5y agoYes you're right, my bad - it doesn't answer the question in the article though. What's the expected number of divisors? That doesn't follow from this kind of analysis, because the ones that aren't highly composite could be 'very' uncomposite for some reason.
- thaumasiotes 5y ago> Assume (1) A -> B, (2) A is sometimes true, and (3) B is sometimes false. Then isn't it provably true that P(A | B) > P(B)? No, this is not true. Consider a population of 200 people, with 20 in group AB, 0 in group A, 80 in group B, and 100 in group Nil. We see that A -> B, since group A has 0 members. We see that A is sometimes true, since group AB has 20 members. We see that B is sometimes false, since group Nil has 100 members. P(A | B) = 20 / (20 + 80) = 0.2 P(B) = (20 + 80) / (20 + 80 + 0 + 100) = 0.5
- feoren 5y agoThank you, you're absolutely right: I meant to say P(A | B) > P(A). By excluding !B, you're necessarily excluding only the Nil group. I think I got it right in my edit, but thank you for correcting my thinking here.