February 2012
5 = 5
5 = 4 + 1
5 = 3 + 2
5 = 3 + 1 + 1
5 = 2 + 2 + 1
5 = 2 + 1 + 1 + 1
5 = 1 + 1 + 1 + 1 + 1There are 7 ways to split up five things. Seven different ways you could divide up 5 balls, 5 dolls, 5 wrapped-up candies,
How many ways are there to divide up 4 things? 8 things? 20,000 things? 198^198 things? Even if you had a few days to write a computer program that would brute-force count these things, how would you do it?
Here are the first few answers. I don’t see an obvious pattern:
- 1, 1, 2, 3, 5, 7, 11, 15, 22, 30, 42, 56, 77, 101, 135, 176, 231, 297, 385, 490, 627, 792, 1002, 1255, 1575, 1958, 2436, 3010, 3718, 4565, 5604, 6842, 8349, 10143, 12310, 14883, 17977, 21637, 26015, 31185, 37338, 44583, 53174, 63261, 75175, 89134
The answers to this line of questions—which answers are given by the partition function — come up in weird places en route to the answer to some other question. For example, the partition function comes up in thermodynamics. WTF? Don’t ask me, I didn’t make up the universe, or logic. The partition function also shows its face when you try to reason out measures of statistical validity. That at least makes sense because these partitions are definitely combinatoric in character.
But back to the question—how would you figure out NumPartitions(1), NumPartitions(2), NumPartitions(3), … and so on? Is there a formula for it? Or do you just have to find 20,000 stones and start breaking them up into groups (or simulate such on the computer) to find out NumPartitions(20,000)?
Herbert Wilf explains here
www.math.upenn.edu/~wilf/PIMS/PIMSLectures.pdf
that there is an extremely simple way to express the Partition Function. First you have to know that you can encode sequences as polynomials, which I explained here. Second, recognise that the sequence / polynomial coefficients represent a function from ℕ→ℕ (How many ways to divide up 1? p(1) How many ways to divide up 8? p(8). Etc.). It’s called Euler’s generating function. Using the sequence-polynomial trick, you can say “The entire sequence of answers to p(n) for n=1 thru infin; can be written ∑p(n) x^n .” (Because the polynomial encodes the sequence.)
Third, here is the answer:
Wow. First of all, whoever figured this out should be crowned king of innovation for 100 years. Second of all, why is Nature to weird? I mean, this result seems way too simple to be true. Third of all, given what I said about polynomials as sequences, now we’ve established a way to factor a certain sequence (the partition sequence) into products of sequences. I wonder where else you could go with that—either analogies, or tweaking-the-pattern a little bit, or applications of this exact idea to other fields where you wouldn’t normally think to yourself “Here I have a polynomial.”
So. From candies to statistics to number theory to thermodynamics to algebraic rings to who knows how to describe what we have seen here. All I can say is, I’m not making this stuff up.
This year a series of events around the world will celebrate the work of Alan Turing, the father of the modern computer, as the 100th anniversary of his birthday approaches on June 23. In a book chapter that will be published later this year, mathematician Robert Soare, the founding chairman of the University of Chicago’s computer science department, will propose that Turing’s achievement was artistic as well as scientific.
un:
And not just any mistake. A LOOSE CABLE.
“There was a good reason the measurements and reality weren’t lining up: a loose fiber optic cable was causing one of the atomic clocks used to time the neutrinos’ flight to produce spurious results.”
oops
KNEW IT!
oh damn! there goes that neutrino-walks-into-a-bar joke…
I view a mathematics library the same way an archaeologist views a prime digging site. There are all these wonderful treasures that are buried there and hidden from the rest of the world.
If you pick up a typical book on sheaf theory, for example, it’s unreadable. But it’s full of stuff that is very, very important to solving really difficult problems.
And I have this vision of digging through the obscure text and finding these gems and exporting them over to the engineering college and other domains where these tools can find utility.
” —Robert Ghrist (via isomorphismes)
