More Counting Lecture 16: Nov 9 A B …… f. Counting Rule: Bijection If f is a bijection from A to B, then |A| = |B| A B …… f.

Slides:



Advertisements
Similar presentations
9.5 Counting Subsets of a Set: Combinations
Advertisements

Basic Permutations and Combinations
MATHCOUNTS TOOLBOX Facts, Formulas and Tricks
1 More Counting by Mapping Lecture 16: Nov 7. 2 This Lecture Division rule Catalan number.
Counting Chapter 6 With Question/Answer Animations.
Fall 2002CMSC Discrete Structures1 Permutations How many ways are there to pick a set of 3 people from a group of 6? There are 6 choices for the.
The Division Rule Theorem: Suppose a set A has n elements and is partitioned by the collection {A 1, A 2,..., A p }, where each partition set has m elements.
Multiplication Rule. A tree structure is a useful tool for keeping systematic track of all possibilities in situations in which events happen in order.
CSE115/ENGR160 Discrete Mathematics 04/17/12
Discrete Mathematics Math 6A Homework 4 Solution.
Polynomial time approximation scheme Lecture 17: Mar 13.
Chapter 8 The principle of Inclusion and Exclusion Yen-Liang Chen Dept of Information Management National Central University.
Tucker, Section 5.41 Section 5.4 Distributions By Colleen Raimondi.
4.4.2 Combinations of multisets
How many ways are there to pass through city A where the arrows represent one-way streets? Answer: mn ways The counting principal: Suppose two experiments.
Chapter 1 Fundamental principles of counting 陳彥良 中央大學資管系.
More Counting Lecture 13 A B …… f. Counting Rule: Bijection If f is a bijection from A to B, then |A| = |B| A B …… f.
More Counting Lecture 16: Nov 9 A B …… f. This Lecture We will study how to define mappings to count. There will be many examples shown. Bijection rule.
Review of 5.1, 5.3 and new Section 5.5: Generalized Permutations and Combinations.
Copyright © Cengage Learning. All rights reserved. CHAPTER 9 COUNTING AND PROBABILITY.
Chapter 6 The Inclusion-Exclusion Principle and Applications
Basic Counting Lecture 12: Oct 28. This Lecture We will study some basic rules for counting. Sum rule, product rule, generalized product rule Permutations,
1 Melikyan/DM/Fall09 Discrete Mathematics Ch. 6 Counting and Probability Instructor: Hayk Melikyan Today we will review sections 6.4,
Basic Counting. This Lecture We will study some basic rules for counting. Sum rule, product rule, generalized product rule Permutations, combinations.
Generalized Permutations and Combinations
Chapter 6 With Question/Answer Animations 1. Chapter Summary The Basics of Counting The Pigeonhole Principle Permutations and Combinations Binomial Coefficients.
Permutations and Combinations
Fall 2002CMSC Discrete Structures1 One, two, three, we’re… Counting.
Chapter 3 Permutations and combinations
March 10, 2015Applied Discrete Mathematics Week 6: Counting 1 Permutations and Combinations How many different sets of 3 people can we pick from a group.
More Combinatorics Sections /5/2004Discrete Mathematics for Teachers, UT Math 504, Lecture 11 2 Generating Permutations and Combinations This.
1 Lecture 4 (part 2) Combinatorics Reading: Epp Chp 6.
Great Theoretical Ideas in Computer Science.
Counting CSC-2259 Discrete Structures Konstantin Busch - LSU1.
1 Counting by Mapping Lecture 15: Nov 4 A B …… f.
COMPSCI 102 Discrete Mathematics for Computer Science.
The Pigeonhole Principle. The pigeonhole principle Suppose a flock of pigeons fly into a set of pigeonholes to roost If there are more pigeons than pigeonholes,
Counting II: Recurring Problems And Correspondences Great Theoretical Ideas In Computer Science John LaffertyCS Fall 2005 Lecture 7Sept 20, 2005Carnegie.
1 CS 140 Discrete Mathematics Combinatorics And Review Notes.
Counting II: Recurring Problems And Correspondences Great Theoretical Ideas In Computer Science V. AdamchikCS Spring 2006 Lecture 6Feb 2, 2005Carnegie.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 11 Counting Methods and Probability Theory.
Section 1.3 Each arrangement (ordering) of n distinguishable objects is called a permutation, and the number of permutations of n distinguishable objects.
5.5 Generalized Permutations and Combinations
2/24/20161 One, two, three, we’re… Counting. 2/24/20162 Basic Counting Principles Counting problems are of the following kind: “How many different 8-letter.
1 Section 5.3 Permutations and Combinations Permutations (order counts) A permutation of a set is an arrangement of the objects from a set. There are n!
Section 6.4. Powers of Binomial Expressions Definition: A binomial expression is the sum of two terms, such as x + y. (More generally, these terms can.
Section Basic Counting Principles: The Product Rule The Product Rule: A procedure can be broken down into a sequence of two tasks. There are n 1.
Binomial Coefficients and Identities
Week 9 - Friday.  What did we talk about last time?  Partial orders  Total orders  Basic probability  Event  Sample space  Monty Hall  Multiplication.
Permutations and Combinations. Fundamental Counting Principle If there are r ways of performing one operation, s ways of performing a second operation,
Permutations & Combinations: Selected Exercises. Copyright © Peter Cappello2 Preliminaries Denote the # of arrangements of some k elements of a set of.
Section 6.3. Section Summary Permutations Combinations.
The Multiplication Rule
L14: Permutations, Combinations and Some Review
The Pigeonhole Principle
Developing Your Counting Muscles
CSE15 Discrete Mathematics 04/19/17
Counting Methods and Probability Theory
Generalized Permutations and Combinations
COCS DISCRETE STRUCTURES
Generalized Permutations & Combinations: Selected Exercises
Permutations and Combinations
CS100: Discrete structures
Basic Counting.
More Counting A B … f Lecture 16: Nov 9.
COUNTING AND PROBABILITY
Basic Counting Lecture 9: Nov 5, 6.
Permutations and Combinations
Counting II: Recurring Problems And Correspondences
Counting Methods and Probability Theory
Presentation transcript:

More Counting Lecture 16: Nov 9 A B …… f

Counting Rule: Bijection If f is a bijection from A to B, then |A| = |B| A B …… f

How many subsets of a set S? P(S) = the power set of S = the set of all subsets of S for S = {a, b, c}, P(S) = { , {a}, {b}, {c}, {a,b}, {a,c}, {b,c}, {a,b,c} } Power Set Suppose S has n elements. How large is the power set of S?

Bijection: Power Set and Binary Strings S: {s 1, s 2, s 3, s 4, s 5, …, s n } string: … 1 subset: {s 1, s 3, s 4, …, s n } We define a bijection between subsets and binary strings A B …… f A: the set of all subsets of S B: the set of all binary strings of length n The mapping is defined in the following way:

Bijection: Power Set and Binary Strings This mapping is a bijection, because  each subset is mapped to a unique binary string, and  each binary string represents a unique subset. So, |n-bit binary strings| = |P(S)| string: … 1 subset: {s 1, s 3, s 4, …, s n } The mapping is defined in the following way: A B …… f Therefore, |A| = |B|, and |B| can be computed directly.

A Chess Problem In how many different ways can we place a pawn (p), a knight (k), and a bishop (b) on a chessboard so that no two pieces share a row or a column?

We define a mapping between configurations to sequences (r(p), c(p), r(k), c(k), r(b), c(b)), where r(p), r(k), and r(b) are distinct rows, and c(p), c(k), and c(b) are distinct columns. A Chess Problem A B …… f A: the set of the configurations of the 3 pieces B: the set of the such sequences of 6 numbers If we can define a bijection between A and B, and also calculate |B|, then we can determine |A|.

We define a mapping between configurations to sequences (r(p), c(p), r(k), c(k), r(b), c(b)), where r(p), r(k), and r(b) are distinct rows, and c(p), c(k), and c(b) are distinct columns. A Chess Problem (7,6,2,5,5,2) (7,6) (2,5) (5,2) This is a bijection, because:  each configuration is mapped to a unique sequence  each sequence represents a unique configuration. So, to count the number of chess configurations, it is enough to count the number of such sequences.

A Chess Problem We define a mapping between configurations to sequences (r(p), c(p), r(k), c(k), r(b), c(b)), where r(p), r(k), and r(b) are distinct rows, and c(p), c(k), and c(b) are distinct columns. Using the generalized product rule, there are 8 choices of r(p) and c(p), there are 7 choices of r(k) and c(k), there are 6 choices of r(b) and c(b). (7,6,2,5,5,2) Thus, total number of configurations = (8x7x6) 2 =

Counting Doughnut Selections There are five kinds of doughnuts. How many different ways to select a dozen doughnuts? A ::= all selections of a dozen doughnuts Hint: define a bijection! 00 (none) Chocolate Lemon Sugar Glazed Plain A B …… f

Counting Doughnut Selections A ::= all selections of a dozen doughnuts Define a bijection between A and B Each doughnut is represented by a 0, and four 1’s are used to separate five types of doughnuts. B::= all 16-bit binary strings with exactly four 1’s. 00 (none) Chocolate Lemon Sugar Glazed Plain

Counting Doughnut Selections c chocolate, l lemon, s sugar, g glazed, p plain maps to 0 c 10 l 10 s 10 g 10 p B::= all 16-bit binary strings with exactly four 1’s. A ::= all selections of a dozen doughnuts a bijection

There are 20 books arranged in a row on a shelf. How many ways to choose 6 of these books so that no two adjacent books are selected? Choosing Non-Adjacent Books Hint: define a bijection! A ::= all selections of 6 non-adjacent books from 20 books A B …… f

B::= all 15-bit binary strings with exactly six 1’s. Choosing Non-Adjacent Books Map each zero to a non-chosen book, each of the first five 1’s to a chosen book followed by a non-chosen book, and the last 1 to a chosen book. This is a bijection, because:  each selection maps to a unique binary string.  each binary string is mapped by a unique selection.

Choosing Non-Adjacent Books A ::= all selections of 6 non-adjacent books from 20 books B::= all 15-bit binary strings with exactly six 1’s.

In-Class Exercise for i=1 to n do for j=1 to i do for k=1 to j do printf(“hello world\n”); How many “hello world” will this program print? (see page of the textbook)

In-Class Exercise for i=1 to n do for j=1 to i do for k=1 to j do printf(“hello world\n”); … n … There are n possible positions for the i,j,k. Imagine there are n-1 separators for the n numbers. If i=4, j=2, k=2, then there are two balls in 2 and one ball in 4.

In-Class Exercise for i=1 to n do for j=1 to i do for k=1 to j do printf(“hello world\n”); … n … There are n possible positions for the i,j,k. There is a bijection between the positions for i,j,k and the set of strings with n-1 ones and 3 zeros. So, the program prints “hello world” exactly times.

In-Class Exercises How many solutions are there to the equation x1+x2+x3+x4=10, where x1,x2,x3,x4 are nonnegative integers? (page of the textbook) Think of there are 10 points to distribute into 4 variables x1 x2 x3 x4 Suppose x1=3, x2=5, x3=2, x4=0, it corresponds to inserting 3 separations as above.

In-Class Exercises How many solutions are there to the equation x1+x2+x3+x4=10, where x1,x2,x3,x4 are nonnegative integers? (page of the textbook) Think of there are 10 points to distribute into 4 variables x1 x2 x3 x4 So there is a bijection between the integer solutions and the set of binary strings with 10 zeros and 3 ones. So, the are exactly integer solutions.

In-Class Exercises How many integer solutions to x1+x2+x3+x4=10 if each xi>=1? (page 354 of the textbook) Method 1: Define a mapping directly, using the idea of “non-adjacent” books. Method 2: Set xi=yi+1. So the equation becomes y1+y2+y3+y4=6, where each yi is a non-negative integer. Therefore we can apply the previous result, and conclude that the answer is

if function from A to B is k-to-1, then (generalizes the Bijection Rule) Division Rule

Another Chess Problem In how many different ways can you place two identical rooks on a chessboard so that they do not share a row or column?

We define a mapping between configurations to sequences (r(1), c(1), r(2), c(2)), where r(1) and r(2) are distinct rows, and c(1) and c(2) are distinct columns. Another Chess Problem A ::= all sequences (r(1),c(1),r(2),c(2)) with r(1) ≠ r(2) and c(1) ≠ c(2) B::= all valid rook configurations (1,1,8,8) and (8,8,1,1) maps to the same configuration. The mapping is a 2-to-1 mapping.

Another Chess Problem A ::= all sequences (r(1),c(1),r(2),c(2)) with r(1) ≠ r(2) and c(1) ≠ c(2) B::= all valid rook configurations The mapping is a 2-to-1 mapping. Using the generalized product rule to count |A|, there are 8 choices of r(1) and c(1), there are 7 choices of r(2) and c(2), and so |A| = 8x8x7x7 = Thus, total number of configurations |B| = |A|/2 = 3136/2 = 1568.

How many ways can we seat n different people at a round table? Round Table Two seatings are considered equivalent if one can be obtained from the other by rotation. equivalent

A ::= all the permutations of the people B::= all possible seating arrangements at the round table Round Table Map each permutation in set A to a circular seating arrangement in set B by following the natural order in the permutation.

Round Table A ::= all the permutations of the people B::= all possible seating arrangements at the round table This mapping is an n-to-1 mapping. Thus, total number of seating arrangements |B| = |A|/n = n!/n = (n-1)!

Counting Subsets How many size 4 subsets of {1,2,…,13}? Let A::= permutations of {1,2,…,13} B::= size 4 subsets map a 1 a 2 a 3 a 4 a 5 … a 12 a 13 to {a 1,a 2,a 3, a 4 } How many permutations are mapped to the same subset??

map a 1 a 2 a 3 a 4 a 5 … a 12 a 13 to {a 1,a 2,a 3, a 4 } a 2 a 4 a 3 a 1 a 5 … a 12 a 13 also maps to {a 1,a 2,a 3, a 4 } as does a 2 a 4 a 3 a 1 a 13 a 12 … a 5 So this mapping is 4!  9!-to-1 Counting Subsets 4! 9!

Let A::= permutations of {1,2,…,13} B::= size 4 subsets Counting Subsets So number of 4 element subsets is Number of m element subsets of an n element set is

MISSISSIPPI How many ways to rearrange the letters in the word “MISSISSIPPI”? Let A be the set of all permutations of n letters. B be the set of all different words by rearranging “MISSISSIPPI”. How many permutations are mapped to the same word? MISSISSIPPI 4! possible ways to rearrange the S giving the same word 4! possible ways to rearrange the I giving the same word 2! possible ways to rearrange the P giving the same word The mapping is 4!4!2!-to-1, and so there are 13!/4!4!2! different words.

I’m planning a 20-mile walk, which should include 5 northward miles, 5 eastward miles, 5 southward miles, and 5 westward miles. How many different walks are possible? There is a bijection between such walks and sequences with 5 N’s, 5 E’s, 5 S’s, and 5 W’s. The number of such sequences is equal to the number of rearrangements: 20! 5!5!5!5! Example: 20 Mile Walk