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The more I study, I realize I really know nothing. sigh. Now, here is my newest problem. Picking up an integer at random from integer set $\mathbb{N}$. What is the chance that the integer would be even? What is the chance that the integer would be odd?

Ok, I understand it - we can have a bijection and all - and show it is $\frac{1}{2}$ - in both the cases - but how? Can we introduce some measure for $\mathbb{N}$ - which shows that the set of even numbers $\mathbb{E}$ and set of odd numbers $\mathbb{O}$ are, sharing it 50-50? Thanks to bijection we have all of them $\aleph_0$.

As usual, I am completely at lost here, please help.

3 Answers3

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As André Nicolas points out there is no countably additive probability measure on $\mathbb{N}$ which assigns equal measure to singletons.

The way people usually deal with such questions is by considering natural density.

A subset $A \subseteq \mathbb{N}$ is said to have natural density (or asymptotic density) $\alpha \in [0, 1]$ if $$\lim_{n\to\infty}\frac{|A\cap\{1, \dots, n\}|}{n} = \alpha.$$

As André Nicolas also pointed out, the set of positive even integers has natural density $\frac{1}{2}$.

  • Why can I not accept two answers? Both are awesome? :( – Noga Tailcutter Jun 05 '14 at 05:47
  • Because the accepted answer is supposed to be the best answer according to the OP (i.e. you). – Michael Albanese Jun 05 '14 at 05:49
  • That is so not cool (and formal)! Arbitrary axiomatic assignment! – Noga Tailcutter Jun 05 '14 at 05:50
  • Well you can upvote answers you find useful, and I suggest you do (always, not just on your own questions), but accepting an answer is supposed to indicate that no other answers are required because the OP's question has been answered (by the accepted answer). To be fair, most of what I said was said by André Nicolas in the comments, so accepting his answer is totally OK with me. – Michael Albanese Jun 05 '14 at 05:54
  • Thanks and I always do it. It is just that given limited resource justice to individuals can not be done. :( – Noga Tailcutter Jun 05 '14 at 06:02
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There is no (countably additive) probability measure on $\mathbb{N}$ that assigns equal weight to all points.

But we can easily get the following density result. Let $E(n)$ be the number of even natural numbers up to $n$. Then $\lim_{n\to\infty}\frac{E(n)}{n}=\frac{1}{2}$.

André Nicolas
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You could look at the counting measure. This usually leads to density argument:

Let $n \in \mathbb{N}$ and use the counting function $o(n) = \text{the number of odd numbers in [0,n]}$. See that $\lim_{n \ \rightarrow \infty} \frac{o(n)}{n} = 1/2$. Alternatively, see that $o(n) = n/2 + O(1)$.

For similar arguments (typically having a number theoretic or computer science flavor, and littered with big O notation), see the prime number theorem, and the de Bruijn function (density of smooth integers).

Eric Towers
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