AOCP/Permutations
From charlesreid1
Volume 1
Chapter 1: Basic Concepts
Permutations and Factorials
If we have n distinct objects to arrange in a row, and order of placement matters, we can arrange these things in n! different ways.
For the first object, we have n choices of places to put it. For the second object, we have n-1 choices of places to put it. And so on.
In general, if we have to choose k objects out of n total, and arrange them in a row, we have the number of possibilities as:
$ p_{n,k} = n(n-1)(\dots)(n-k+1) $
The total number of permutations is
$ p_{n,n} = n (n-1) \dots (2)(1) $
The process of constructing a permutation of n objects, given all permutations of n-1 objects, is important. If we consider the case of three objects $ \{1, 2, 3\} $,
Here are permutations of order 3:
$ (1 2 3), (1 3 2), (2 1 3), (2 3 1), (3 1 2), (3 2 1) $
Now, how to get to permutations of 4 objects?
Method 1:
For each permutation of n-1 elements, form n additional permutations by inserting the nth element in every possible open slot
Adding 4 to our set of objects and using method 1 gives:
$ (4 2 3 1), (2 4 3 1), (2 3 4 1), (2 3 1 4) $
Method 2:
For each permutation of the n-1 elements, form n new permutations by first constructing the array:
$ \begin{align} a_1 a_2 \dots a_{n-1} &\quad& \frac{1}{2} \\ a_1 a_2 \dots a_{n-1} &\quad& \frac{3}{2} \\ &\dots& \\ a_1 a_2 \dots a_{n-1} &\quad& (n - \frac{1}{2}) \end{align} $
Aaaaaand... yeah. No idea.
Factorial Identities
Factorial definition:
$ n! = 1 \cdot 2 \dots n = \prod_{1 \leq k \leq n} k $
$ 0! = 1 $
and with this convention,
$ n! = (n-1)! n $
for all positive integers n.
10! is a useful benchmark - it is around 3.5 million.
$ 10! = 3,628,800 $
10! represents an upper ceiling on computable tasks.
To tell how large a very big factorial is going to be, use Stirling's formula:
$ n! \approx \sqrt{2 \pi n} \left(\frac{n}{e} \right)^n $
Thus, for 8! = 40320:
$ 8! \approx 4 \sqrt{\pi} \left( \frac{8}{e} \right)^8 \approx 39902 $
Relative error of Stirling's formula is approximately $ \dfrac{1}{12n} $
To obtain the exact value of n! factored into primes, we can use some useful identities. First, the prime p is a divisor of n! with multiplicity:
$ \begin{align} \mu &=& \mbox{floor}(\frac{n}{p}) + \mbox{floor}(\frac{n}{p^2}) + \mbox{floor}(\frac{n}{p^3}) + \dots \\ &=& \sum_{k>0} \mbox{floor}(\frac{n}{p^k}) \end{align} $
As an example, for n = 1000, p = 3,
$ \mu = \mbox{floor}(\frac{1000}{3}) + \mbox{floor}(\frac{1000}{9}) + \mbox{floor}(\frac{1000}{27}) + \mbox{floor}(\frac{1000}{81}) + \mbox{floor}(\frac{1000}{243}) $
which gives
$ \mu = 333 + 111 + 37 + 12 + 4 + 1 = 498 $
Therefore, $ 1000! $ is divisible by $ 3^{498} $, but not by $ 3^{499} $.
Furthermore, to speed up the calculation of the above, we can use the identity
$ \mbox{floor}\left(\frac{n}{p^{k+1}} \right) = \mbox{floor}\left( \frac{\mbox{floor}( \frac{n}{p^k} )}{p} \right) $
Binomial Coefficients
See AOCP/Binomial Coefficients
Multinomial Coefficients
See AOCP/Multinomial Coefficients
Generating Functions
Flags
| The Art of Computer Programming notes from reading Donald Knuth's Art of Computer Programming
Part of the 2017 CS Study Plan.
Mathematical Foundations: AOCP/Infinite Series · AOCP/Binomial Coefficients · AOCP/Multinomial Coefficients AOCP/Harmonic Numbers · AOCP/Fibonacci Numbers Puzzles/Exercises:
Volume 2: Seminumerical Algorithms
Volume 3: Sorting and Searching AOCP/Combinatorics · AOCP/Multisets · Rubiks Cube/Permutations
AOCP/Combinatorial Algorithms · AOCP/Boolean Functions AOCP/Five Letter Words · Rubiks Cube/Tuples AOCP/Generating Permutations and Tuples
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