Question about infinite probability?

AI Thread Summary
In a scenario with infinite options and infinite time, the probability of eventually selecting a specific option, like "option 1," is theoretically certain, assuming a suitable probability distribution. However, if the options are drawn from a countably infinite set with a uniform distribution, the probability of selecting any specific option remains zero. The discussion highlights the importance of defining the probability distribution and the relationship between the number of trials and the set size. If trials are conducted with replacement, the probability of success approaches 1 - 1/e as the number of trials increases. Thus, the outcome heavily depends on the specific conditions set for the selection process.
NeptuniumBOMB
Messages
21
Reaction score
0
i was just wondering (theoretically thinking), if I had to pick "option 1" from an infinite amount of options and my pick was random and I have an infinite amount of time (kind of like taking a ball from a bag, don't know which one is which) but I have to get exactly "option 1" and not any other.
Is their any physical chance that i will ever get the option i want or is it impossible because an infinite amount of options means that your probability is to small to exist?

Just wondering this, it isn't part of my homework or textbook.:biggrin:
 
Mathematics news on Phys.org
In general, if there are infinitely many events and you are considering the probability to select finitely many, then the probability is zero. Else way, it is the density of the set of selections in the set of events.

Given that you have infinite time though, you will absolutely pick option 1. Same goes with all other finite sets of options. If you had finite time, then we could not say the same.
 
Everything depends on the actual probability distribution. How likely is it to pick option 1??

Also, are you working with countable infinite or uncountable??

These things are needed to give a suitable answer to your question.
 
The trouble is you cannot have a uniform distribution over a countably infinite set. All probabilities would be zero, and the total probability would be zero, which is not valid.
You could redefine it as a limit problem as the size of the set tends to infinity. To complete the definition, you need to specify how the time (number of trials) available depends on the set size, n, and whether the ball is replaced after each trial. E.g. if you specify n trials, with replacement, the probability of success tends to 1 - 1/e.
 
Suppose ,instead of the usual x,y coordinate system with an I basis vector along the x -axis and a corresponding j basis vector along the y-axis we instead have a different pair of basis vectors ,call them e and f along their respective axes. I have seen that this is an important subject in maths My question is what physical applications does such a model apply to? I am asking here because I have devoted quite a lot of time in the past to understanding convectors and the dual...
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...

Similar threads

Back
Top