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Crazy DiceSubmitted by Chrix from Bloomington, MN, 7/2/2000. Original answer and this article by Allen Stenger.Here's a pair of problems that were given to me by a friend... When you roll a standard pair of 6-sided dice, there are 11 possible outcomes, with a certain probability of occurrence for each possible result (the chance of getting a total of 8 is 5/36, for example). This is called the probability distribution. Now, it turns out that you can take 2 6-sided dice and put different positive integers (whole numbers) on them such that the probability distribution is the same. That is, you can write a completely different set of numbers on the 2 dice but still have the same likelihood of rolling any total as if the dice were regular. It turns out that the only way to do this is to put 1, 2, 2, 3, 3, 4 on one die and 1, 3, 4, 5, 6, 8 on the other (clearly I'm allowing repeats of numbers, and if you think about it, repeats must occur). The two problems I have relate to pairs of dice with more than 6 sides. The first problem can be done by trial and error, but the second one most certainly cannot be done that way, and would require an advanced method of solving.
Hint 1Use generating functions. (Sub-hint: practice on the 6-sided case, where you already know the answer.) Hint 2This hint solves the problem for the 6-sided case (sometimes called Crazy Dice or Sicherman Dice) by using generating functions. Once you understand this case, you should be able to work the 8-sided and 35-sided cases the same way. It's helpful if you have a computer algebra program like Mathematica to do the heavy lifting for you, especially in the 35-sided case, but even by hand they are not too hard.
To write this problem in terms of generating functions we use a variable x
and make the following observation: The coefficient of
xn in
How about the Crazy Dice? They have polynomials too, which are
"So what?" you ask. So what is that we know a lot about polynomials, in
particular about factoring them, so by converting our problem into a
polynomial problem we can use this knowledge and solve it. Imagine that we
didn't already know the other solution for 6; then we would want to find
polynomials so that
Now we use the polynomial properties. We can completely factor the
left-hand side, because
We don't know what the terms on the right-hand side are, but we do know
that if we factor them completely we must get exactly the same
factorization, although the terms may be grouped differently. This means we
can work backward to discover the terms on the right: we consider different
ways of grouping the factors to make two polynomials
The only uncertainy remaining is the two
(x2 - x + 1)
factors. There's no obvious reason why we have to give one copy to
each polynomial, or if we could give both copies to the same
polynomial. In fact both choices work; giving one to each
produces the regular dice, and (as we can verify by multiplying out
the polynomials) giving both copies to one polynomial produces
two valid sets of 6 spots, that are the Crazy Dice:
1,2,2,3,3,4 and 1,3,4,5,6,8
That's the complete solution for 6-sided dice, now use the same ideas to solve the 8-sided and 35-sided cases. (The next hint gives the needed factorizations.) Hint 3
For the 8-sided and 35-sided cases we have the complete factorizations
The Rest of the Solution
The 8-sided case has three alternate factorizations,
and therefore three relabelings (not the two stated in the problem):
The 35-sided case has one alternate factorization, and expands to:
Generating FunctionsA generating function is a clothesline on which we hang up a sequence of numbers for display. (Herbert S. Wilf) A generating function is a polynomial or infinite series in which the coefficient of the nth term is the value at n of some function that we are interested in. In the Crazy Dice the coefficient is the number of faces with n spots. Generating functions are used in almost all kinds of counting problems. They allow us to transform a counting problem into an algebraic or analytic problem. With the Crazy Dice we used algebraic properties of polynomials (factorization) to solve the problem. Often generating functions are infinite series instead of polynomials; in these cases we often attempt to get a closed-form expression for the function represented by the infinite series, and use facts about the behavior of this function to deduce facts about the coefficients. The References below give many examples of problems that can be solved with generating functions. Cyclotomic Polynomials
To solve the Crazy Dice we had to factor polynomials of the form
Example: The 4th roots of unity, the roots of
The polynomial whose roots are all the primitive nth
roots of unity is called the
cyclotomic polynomial
of order n.
The roots are conventionally designated by a Greek letter zeta,
and the polynomial is conventionally designated by a capital
Greek letter phi:
Example (continued): The cyclotomic polynomials for 1, 2, and 4 are
"Cyclotomic" comes from a Greek phrase meaning "circle cutting." If you draw the unit circle in the complex plane, and plot the nth roots of unity, you will find that they all lie on the unit circle and that they cut it into n equal arcs. These points are also the vertices of a regular n-gon inscribed in the circle. The roots of unity and the cyclotomic polynomials occur in many areas of mathematics, and we know a lot about them.
It is a surprising fact that the cyclotomic polynomials have all integer
coefficients, and an even more surprising fact that they are all
irreducible (that is, they cannot be factored into
polynomials of lower degree). A non-surprising but useful fact is that
they give the complete factorization
Example: Crazy Dice for 8 sides. We have the factorization
ReferencesThe 6-sided case is sometimes called Crazy Dice or Sicherman Dice.
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