Chance of Identical Numbers in Infinite Series

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    Infinite Probability
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SUMMARY

The discussion centers on the probability of selecting identical numbers from an infinite series versus a finite set. Participants clarify that while selecting from a finite set (e.g., numbers between 0 and 10,000) allows for a calculable probability of matching (1/10,000^2), choosing from an infinite set results in a probability of zero for any specific number. The conversation also touches on concepts from measure theory, emphasizing that events with zero probability can still occur. Additionally, the use of VBScript for simulating random number selection is introduced as a practical tool for visualizing these probabilities.

PREREQUISITES
  • Understanding of basic probability theory
  • Familiarity with finite and infinite sets
  • Knowledge of measure theory concepts
  • Basic programming skills in VBScript
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  • Study "Measure Theory" to understand probability distributions over infinite sets
  • Learn about "Cardinality of Infinite Sets" to grasp the concept of different sizes of infinity
  • Explore "VBScript Random Number Generation" for practical applications in probability simulations
  • Investigate "Uniform Distribution" and its implications in probability theory
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Mathematicians, statisticians, computer programmers, and anyone interested in probability theory and its applications in real-world scenarios.

  • #31
VikingF said:
I think that's an ugly abuse of the probability 1. :smile:
You can't find probabilities that are larger than 1, but an event can SURELY :biggrin: be more certain than just "almost surely", if you see what I mean. :rolleyes:

Things can also "surely" happen. Consider the uniform distribution on the unit interval [0,1]. You will "almost surely" pick an irrational number. However, you will "surely" pick a real number.

You might want to look into measure theory if you want to try to understand the finer points behind probability theory. This is the stuff that they won't bother teaching your engineering stats class, but is really needed if you want to learn some rigorous probability and not just how to apply various distributions to bolts coming off an assembly line.
 
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  • #32
Discrete & Continuous random variables have different contexts. Discrete random variables coincide more with experience because we don't generally deal with infinite sample spaces in real life. With discrete random variables we assign probability 0 to events that we suppose will not happen, so it's only a discrepancy if we don't keep in mind that the context is different, so things have different meanings. Any time we are dealing with continuous random variables we should be aware that probability 0 doesn't mean the outcome is impossible, only that it is so small that it is irrelevant. Mostly a semantics issue.
 
  • #33
The answer to your questions is, YES. A chance is still a chance, even if it's a showball's chance in hell
 
  • #34
Serene_Chaos said:
Ok I am not sure if this is where this thread should go, but anyway.

My question is this:
if we have an infinite series of numbers (or apples, or whatever) and we choose one at random, and then choose another at random, is there a chance that the two will be the same? I mean, is a 1 in infinity chance a chance at all?

wcemichael said:
The answer to your questions is, YES. A chance is still a chance, even if it's a showball's chance in hell

The answer is the same as it was over 5 years ago. It is possible with a probability of zero. (That's not a contradiction).
 

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