0% found this document useful (0 votes)
57 views12 pages

Permutations and Combinations

The document discusses permutations and combinations, defining permutations as ordered arrangements of distinct objects and combinations as unordered selections. It provides formulas for calculating the number of r-permutations and r-combinations, along with examples illustrating their applications in solving counting problems. Additionally, it includes corollaries related to combinations and their properties.

Uploaded by

srag20062017
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
57 views12 pages

Permutations and Combinations

The document discusses permutations and combinations, defining permutations as ordered arrangements of distinct objects and combinations as unordered selections. It provides formulas for calculating the number of r-permutations and r-combinations, along with examples illustrating their applications in solving counting problems. Additionally, it includes corollaries related to combinations and their properties.

Uploaded by

srag20062017
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 12

Section 6.

3
Section Summary
 Permutations
 Combinations
 Combinatorial Proofs
Permutations
Definition: A permutation of a set of distinct objects
is an ordered arrangement of these objects. An ordered
arrangement of r elements of a set is called an
r-permuation.
Example: Let S = {1,2,3}.
 The ordered arrangement 3,1,2 is a permutation of S.
 The ordered arrangement 3,2 is a 2-permutation of S.
 The number of r-permuatations of a set with n
elements is denoted by P(n,r).
 The 2-permutations of S = {1,2,3} are 1,2; 1,3; 2,1; 2,3;
3,1; and 3,2. Hence, P(3,2) = 6.
A Formula for the Number of
Permutations
Theorem 1: If n is a positive integer and r is an integer with
1 ≤ r ≤ n, then there are
P(n, r) = n(n − 1)(n − 2) ∙∙∙ (n − r + 1)
r-permutations of a set with n distinct elements.
Proof: Use the product rule. The first element can be chosen in n
ways. The second in n − 1 ways, and so on until there are
(n − ( r − 1)) ways to choose the last element.
 Note that P(n,0) = 1, since there is only one way to order zero
elements.
Corollary 1: If n and r are integers with 1 ≤ r ≤ n, then
Solving Counting Problems by
Counting Permutations
Example: How many ways are there to select a first-
prize winner, a second prize winner, and a third-prize
winner from 100 different people who have entered a
contest?

Solution:
P(100,3) = 100 ∙ 99 ∙ 98 = 970,200
Solving Counting Problems by
Counting Permutations (continued)
Example: Suppose that a saleswoman has to visit eight
different cities. She must begin her trip in a specified
city, but she can visit the other seven cities in any order
she wishes. How many possible orders can the
saleswoman use when visiting these cities?

Solution: The first city is chosen, and the rest are


ordered arbitrarily. Hence the orders are:
7! = 7 ∙ 6 ∙ 5 ∙ 4 ∙ 3 ∙ 2 ∙ 1 = 5040
If she wants to find the tour with the shortest path that
visits all the cities, she must consider 5040 paths!
Solving Counting Problems by
Counting Permutations (continued)
Example: How many permutations of the letters
ABCDEFGH contain the string ABC ?

Solution: We solve this problem by counting the


permutations of six objects, ABC, D, E, F, G, and H.

6! = 6 ∙ 5 ∙ 4 ∙ 3 ∙ 2 ∙ 1 = 720
Combinations
Definition: An r-combination of elements of a set is an
unordered selection of r elements from the set. Thus, an
r-combination is simply a subset of the set with r elements.
 The number of r-combinations of a set with n distinct
elements is denoted by C(n, r). The notation is also
used and is called a binomial coefficient.
Example: Let S be the set {a, b, c, d}. Then {a, c, d} is a 3-
combination from S. It is the same as {d, c, a} since the
order listed does not matter.
 C(4,2) = 6 because the 2-combinations of {a, b, c, d} are the
six subsets {a, b}, {a, c}, {a, d}, {b, c}, {b, d}, and {c, d}.
Combinations
Theorem 2: The number of r-combinations of a set
with n elements, where n ≥ r ≥ 0, equals

Proof: By the product rule P(n, r) = C(n,r) ∙ P(r,r).


Therefore,
Combinations
Example: How many poker hands of five cards can be dealt
from a standard deck of 52 cards? Also, how many ways are
there to select 47 cards from a deck of 52 cards?
Solution: Since the order in which the cards are dealt does
not matter, the number of five card hands is:

 The different ways to select 47 cards from 52 is

This is a special case of a general result. →


Combinations
Corollary 2: Let n and r be nonnegative integers with
r ≤ n. Then C(n, r) = C(n, n − r).
Proof: From Theorem 2, it follows that

and

Hence, C(n, r) = C(n, n − r).

This result can be proved without using algebraic manipulation. →


Combinations
Example: How many ways are there to select five players from a
10-member tennis team to make a trip to a match at another
school.
Solution: By Theorem 2, the number of combinations is

Example: A group of 6 people have been trained as astronauts to


go on the first mission to Mars. How many ways are there to
select 3 crews of two people to go on this mission?
Solution:
C(6,2) ⋅ C(4,2) ⋅ C(2,2)
= 15
(3,3)

You might also like