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Introduction | Other Tips and Tricks | Methods of Proof | You are currently viewing page 5.

Combinatorics

This section cover combinatorics, and some binomial/multinomial facts.

Permutations

The factorial of a number n is n(n-1)(n-2)...(1) or also as \prod_{a=0}^{n-1}(n-a),and is denoted by n!.

Also, 0!=1.

The number of ways of arranging n ordered distinct objects is n!. This is also known as a permutation, and can be notated \,_{n}P_{r}. We can see that this is true because there are n objects which you can place in the first spot; when you've picked one there are n-1 objects to pick from for the second, and so on.

Combinations

The number of ways of choosing r objects from a set of n objects without replacement (i.e. you can't pick an object twice) is \frac{n!}{r!(n-r)!}, which is notated as either \,_{n}C_{r} or \binom{n}{r}. If you allow replacement, then it's notated \,_{n}P_{r} and is given by \frac{n!}{(n-r)!}. The reader should be able to deduce simple combinatorial arguments for these.

Binomials and Multinomials

Binomial Theorem

(x+y)^n=\sum_{r=0}^{n}x^{n-r}y^r

Multinomial Coefficients

The number of ways of ordering n objects when r_1 of them are of one type, r_2 of them are of a second type, ... and r_s of them of another type so that \sum r_i=n is \frac{n!}{r_1!r_2!...r_s!}

Multinomial Theorem

(x_1+x_2+x_3...+x_s)^n=\sum \frac{n!}{r_1!r_2!...r_s!} x_1+x_2+x_3...+x_s. The summation is taken over all sequences r_i so that \sum_{i=1}^{s}r_i=n.

Balls and Urns

There are {n-1\choose k-1} ways to divide k objects in n groups such that no group is empty and the objects are indistinguishable. If groups can be empty, then it's \binom{n+k-1}{k-1}

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Want to learn how to tackle those tough MATHCOUNTS and AMC counting and probability problems? Check out Art of Problem Solving's Introduction to Counting & Probability by David Patrick.
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