Suppose you're given a natural number with $N$ digits, randomly chosen except that none of the digits are $0$. Now shuffle its digits to obtain a new $N$-digit number. What is the probability (as $N\rightarrow\infty$, say) that the new number and the old one are relatively prime?
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1why no 0's as digits? – mathworker21 Dec 15 '18 at 05:48
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also, when you say "to obtain a new $N$-digit number" are you excluding permutations that result in the same number being obtained? if so, that makes the problem much uglier – mathworker21 Dec 15 '18 at 05:52
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@mathworker21: the chance the permutation matches is $\frac 1{N!}$, which is tiny and goes to $0$ as $N \to \infty$. I presume the prohibition on zeros is to make sure neither permutation has leading zeros. I don't think that really matters. – Ross Millikan Dec 15 '18 at 06:01
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@RossMillikan the $\frac{1}{N!}$ can be added many times... – mathworker21 Dec 15 '18 at 06:03
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The restriction on zeroes is to avoid worrying about leading zeroes. I think the question would not be substantially harder or easier if zeroes were allowed. And the "new" part doesn't matter; the probability of getting the same number back certainly goes to zero as $N\rightarrow\infty$. – mjqxxxx Dec 15 '18 at 07:06
1 Answers
We know that the chance two numbers are coprime is $\frac 6{\pi^2}$ as shown in this question.
The exclusion of $0$ changes the chances that the numbers are divisible by $2$ and $5$. With all digits included the chance one number is divisible by $2$ is $\frac 12$ and the chance both are is $\frac 14$. Now the chance a number is even is $\frac 49$ and the chance both are is $\frac {16}{81}$. Similarly the chance both are multiples of $5$ is now $\frac 1{81}$ instead of $\frac 1{25}$.
The scrambling of the digits introduces an important correlation because if one of them has a factor $3$ so does the other. The chance two numbers both have a factor $3$ is $\frac 19$ so in our case the factor $\frac 89$ that they do not both have a factor $3$ is replaced by a factor $\frac 23$.
The probability that they are not both multiples of any of $2,3,5$ now is $(1-\frac {16}{81})(1-\frac 13)(1-\frac 1{81})=\frac {10400}{19683}$ instead of $(1-\frac 14)(1-\frac 19)(1-\frac 1{25})=\frac {16}{25}.$ We would expect the probability they are coprime to be $\frac 6{\pi^2}\cdot \frac {25}{16} \cdot \frac {10400}{19683}\approx 0.502$ per Alpha.
I can't prove that there are no changes for the probability for other primes, but one way to motivate it for primes with rather less than $N$ digits is to think about each digit contributing the the remainder on division by the prime. It adds in one of nine remainders that are reasonably scattered through the residues.
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1@mathworker21: No... it is a (partial) answer... not a comment. – David G. Stork Dec 15 '18 at 06:19
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@DavidG.Stork No. The question asked what is the probability. Ross said what we would expect the probability to be. That is a comment, not an answer. – mathworker21 Dec 15 '18 at 06:23
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I like the direction of this answer -- correct the independent-numbers probability to account for invariants -- but I don't think it's exactly right, because simulation seems to give a slightly higher probability. – mjqxxxx Dec 15 '18 at 07:11
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@mjqxxxx: I realized the mix of digits changed the chances for $2,5$ as well and have updated. – Ross Millikan Dec 15 '18 at 14:55
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Very interesting approach, but I wonder if $11$ is the next term that causes trouble, needing a (very minor) correction? Shuffling the digits is equivalent to addition/subtraction of terms of the form $a \times 99...9$ where $a$ is a single digit. All the $99...9$s are divisible by $3$ which is why $3$ needs a major correction, but about half of the $99...9$s (all those with even number of digits) are divisible by $11$. In fact I seem to recall every prime $p$ divides some $99...9$. My gut feel is the correction is still very small...? – antkam Dec 17 '18 at 19:25
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1@antkam: yes, every prime divides a number of the form $10^k-1$ but that does not mean a correction is needed. For $11$, for example, there are $81$ different pairs of digits available when $0$s are excluded. There are $9$ pairs with sum $10 \bmod 11$ and $7$ pairs with each other remainder. As you couple those with other pairs the differences wash out quickly, so if $N$ is large the numbers will be equally distributed. All we need is that very close to $\frac 1{11}$ have divisor $11$. The same logic works for any prime much smaller than $N$ digits. – Ross Millikan Dec 17 '18 at 22:59
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yeah i believe you're right. the funky thing with $11$ is that every $a \times 99...9 \pmod{11} = 0$ or $9a$, but because the shuffling is random about half the digits contribute $9a$ and for large $N$ this should still lead to ${1 \over 11}$ chance of being a multiple of $11$. – antkam Dec 18 '18 at 13:54