Binomial Coefficients MATH Benjamin V.C. Collins, James A. Swenson MATH 2730

Size: px
Start display at page:

Download "Binomial Coefficients MATH Benjamin V.C. Collins, James A. Swenson MATH 2730"

Transcription

1 MATH 2730 Benjamin V.C. Collins James A. Swenson

2 Binomial coefficients count subsets Definition Suppose A = n. The number of k-element subsets in A is a binomial coefficient, denoted by ( n k or n C k or C(n, k, and pronounced n choose k. Example There are six 2-element subsets in any 4-element set, so ( 4 2 = 6. In {a, b, c, d}, they are {a, b}, {a, c}, {a, d}, {b, c}, {b, d}, {c, d}.

3 First examples Example If n N: ( n 0 = ( n n = ( n = n (n ( n n = n (n

4 Triangular numbers Proposition Let n Z. If n 2, then ( n n = t. 2 t=0 Proof. We ask: How many 2-element subsets are there in {, 2,..., n}? By definition, the answer is ( n 2. On the other hand, there are: 0 subsets whose greatest element is, subset whose greatest element is 2,. t subsets whose greatest element is t +,. n subsets whose greatest element is n. n In total, this makes (n = t subsets. t=0

5 Formula for binomial coefficients Theorem If n, k N and k n, then ( n k = n! k!(n k!.

6 Formula for binomial coefficients Theorem If n, k N and k n, then ( n k = n! k!(n k!. Combinatorial proof. Let A be a set of n elements. We ask: How many k-element subsets are there in A? By definition, the answer is ( n k. On the other hand, let P denote the set of orderings of A; thus P = n!. An element of P can be used to define a k-element subset: just pick the first k elements. We say two orderings are equivalent provided they have the same first k elements, not necessarily in the same order. This is an equivalence relation, and each equivalence class represents a unique k-element subset. Each equivalence class contains k!(n k! permutations, by the n! Multiplication Principle, so there are k!(n k! k-element subsets in A.

7 Exam strategies Example Drew must answer five of the eight questions on a certain exam. In how many ways can Drew choose which questions to answer? What if Drew is required to answer the first two questions?

8 Copying strategies Example The Duplicating Center has eight high-speed copiers, and seven employees who can operate them. There are four identical jobs to be done simultaneously [4000 booklets must be made, in four boxes of 000]. How many ways are there to assign these jobs to operators and machines? Solution. There are ( ( 7 4 ways to choose the employees to do the job, and 8 4 ways to choose machines. Once these choices are made, there are 4! ways to assign operators to machines. Thus there are 4! ( 7 8 4( 4 ways to get the job done, by the Multiplication Principle.

9 Counting bitstrings Exercise A bitstring is a list of 0s and s. How many bitstrings of length n are there? How many bitstrings of length n contain exactly one zero? How many bitstrings of length n contain exactly two zeros? How many bitstrings of length n contain exactly k zeros? Prove: 2 n = n k=0 ( n. k

10 Animal committees Example Seven aardvarks, five giraffes, and three lions are on the advisory board at the Henry Virus Zoo. How many ways are there to select a committee of five animals? This means selecting a 5-element subset from the board, which is a set of = 5 animals. By definition, there are ( 5 5 ( of these. 5 5 = 5! 5!0! = ! = = ! 0! !

11 Animal committees Example Seven aardvarks, five giraffes, and three lions are on the advisory board at the Henry Virus Zoo. How many ways are there to select a committee of exactly three aardvarks and two giraffes? This means selecting 3 of the 7 aardvarks and 2 of the 5 giraffes; by the Multiplication Principle, there are ( 7 5 3( 2 choices. ( 7 ( = 7!5! 3!4!2!3! = !2! = = 350.

12 Animal committees Example Seven aardvarks, five giraffes, and three lions are on the advisory board at the Henry Virus Zoo. How many ways are there to select a 5-member committee with at least one lion? First, count the ones that don t have at least one lion! There are ( 2 5 of these. That leaves ( ( that have at least one lion; this is = 22. Another ( way: 3 ( 2 ( ( 2 ( ( = = 22. Someone might say: ( 3 4 ( 4 = 3003 by the Multiplication Principle: first choose one of the three lions, then choose any four of the remaining animals. Why doesn t this work? [The fact that ( 3 4 ( ( 4 = 5 5 is a coincidence.]

13 Animal committees Example Seven aardvarks, five giraffes, and three lions are on the advisory board at the Henry Virus Zoo. How many ways are there to select a 5-member committee with at least one lion and one giraffe? ( First, count the ones that have no lions. There are 2 5 of these. Next, count the ones that have no giraffes. There are ( 0 5 of these. Oops! Both times, we counted the ones that have neither a lion nor a giraffe! There are ( 7 5 of these. In all, there are ( ( ( 5 0 ( committees with at least one lion and one giraffe.

14 Animal committees Example Seven aardvarks, five giraffes, and three lions are on the advisory board at the Henry Virus Zoo.

15 How many are there? Theorem (principle of inclusion and exclusion If A and B are finite sets, then A + B = A B + A B. Corollary If A is the set of committees with no lions and B is the set of committees with no giraffes, then the number of committees with no lions or no giraffes is A B = A + B A B.

16 Animal committees Example Seven aardvarks, five giraffes, and three lions are on the advisory board at the Henry Virus Zoo. How many ways are there to select a 5-member committee with ( at ( least one aardvark, one giraffe, and one lion? ( 5 0 ( 5 8 ( ( ( ( 5 0 5

17 Have you seen this before? Pascal s triangle

18 Pascal s triangle ( 6 0 ( 0 ( 0 ( ( 0 2 ( 2 ( 2 ( ( 3 ( 3 ( 3 ( ( 4 ( 4 ( 4 ( 4 ( ( 5 ( 5 ( 5 ( 5 ( 5 0 ( ( 6 ( 6 ( 6 ( 6 ( Pascal s triangle

19 Pascal s triangle ( 6 0 ( 0 ( 0 ( ( 0 2 ( 2 ( 2 ( ( 3 ( 3 ( 3 ( ( 4 ( 4 ( 4 ( 4 ( ( 5 ( 5 ( 5 ( 5 ( 5 0 ( ( 6 ( 6 ( 6 ( 6 ( Pascal s triangle

20 Pascal s triangle ( ( 6 ( 6 ( ( 6 Using Pascal s identity

21 Symmetry Proposition If n, k N, then ( ( n k = n Example n k. ( 6 2 ( 6 4 = = 6! 2!(6 2! = = 5; 6! 4!(6 4! = = 5.

22 Symmetry Proposition If n, k N, then ( ( n k = n Algebraic proof. By our formula, ( n = n k n k. n! (n k!(n (n k! = n! (n k!k! = n! k!(n k! = ( n. k

23 Symmetry Proposition If n, k N, then ( ( n k = n n k. 2-elt. subsets 4-elt. subsets 2-elt. subsets 4-elt. subsets {, 2} {3, 4, 5, 6} {2, 6} {, 3, 4, 5} {, 3} {2, 4, 5, 6} {3, 4} {, 2, 5, 6} {, 4} {2, 3, 5, 6} {3, 5} {, 2, 4, 6} {, 5} {2, 3, 4, 6} {3, 6} {, 2, 4, 5} {, 6} {2, 3, 4, 5} {4, 5} {, 2, 3, 6} {2, 3} {, 4, 5, 6} {4, 6} {, 2, 3, 5} {2, 4} {, 3, 5, 6} {5, 6} {, 2, 3, 4} {2, 5} {, 3, 4, 6}

24 Symmetry Proposition If n, k N, then ( ( n k = n n k. Combinatorial proof. Let 0 k n, and let A be a universal set of n elements. For every k-element subset B A, the complement B is an (n k-element subset. Since every k-element subset has a unique complement, the number of k-element subsets in A equals the number of (n k-element subsets in A, which is what we wanted to prove.

25 Pascal s identity Theorem If n, k N and n, then ( ( n k = n ( k + n k. Blaise Pascal (

26 Pascal s identity Theorem If n, k N and n, then ( ( n k = n ( k + n k. Algebraic proof. By our formula, ( n ( n + k k = = = = (n! (k!((n (k! + (n! (k!((n k! k(n! (n k(n! + (k!(n k! (k!(n k! (n!(k + (n k (k!(n k! n! ( n (k!(n k! =. k

27 Pascal s identity Theorem If n, k N and n, then ( ( n k = n ( k + n k. Combinatorial proof. Let 0 k n, let A be a set of n elements, and let w A. We ask: How many k-element subsets are there in A? By definition, the answer is ( n k. On the other hand, ( n k is the number of k-element subsets in A that contain w, because this is the number of (k -element subsets in A \ {w}. Likewise, ( n k is the number of k-element subsets in A that do not contain w. Thus ( ( n k + n k is the answer to our question.

28 Example: combinatorial proof Exercise Prove: ( ( 2n+2 n+ = 2n ( n n n + ( 2n n. Combinatorial proof. We ask: From a group of 2n aardvarks and 2 lions, in how many ways can we form a committee of n + animals? By the definition of binomial coefficient, the answer is ( 2n+2 n+. On the other hand, let s call the lions Leo and Lola. There are ( 2n n committees that include Leo but not Lola, and ( 2n n others that include Lola but not Leo. There are also ( 2n n committees that include both lions, and ( 2n n+ committees that include neither. All told, there are ( ( 2n n n ( n + 2n n possible committees.

29 Why are they called binomial coefficients? (x + y 0 = (x + y = x + y (x + y 2 = x 2 + 2xy + y 2 (x + y 3 = x 3 + 3x 2 y + 3xy 2 + y 3 (x + y 4 = x 4 + 4x 3 y + 6x 2 y 2 + 4xy 3 + y 4 Theorem (binomial theorem n If n N, then (x + y n =. k=0 ( n k x n k y k.

30 Why are they called binomial coefficients? Theorem (binomial theorem n If n N, then (x + y n = k=0 ( n k x n k y k. Exercise Find the coefficient of x 0 y 3 in (x y 3. Solution. By the binomial theorem, 3 ( 3 (x y 3 = x 3 k ( y k = k k=0 3 k=0 ( 3 ( k x 3 k y k. k So the coefficient of x 0 y 3 is ( 3( 3 3 = 3! 3!0! = = 286.

Sets II MATH Sets II. Benjamin V.C. Collins, James A. Swenson MATH 2730

Sets II MATH Sets II. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Sets II Benjamin V.C. Collins James A. Swenson New sets from old Suppose A and B are the sets of multiples of 2 and multiples of 5: A = {n Z : 2 n} = {..., 8, 6, 4, 2, 0, 2, 4, 6, 8,... } B =

More information

Counting. Math 301. November 24, Dr. Nahid Sultana

Counting. Math 301. November 24, Dr. Nahid Sultana Basic Principles Dr. Nahid Sultana November 24, 2012 Basic Principles Basic Principles The Sum Rule The Product Rule Distinguishable Pascal s Triangle Binomial Theorem Basic Principles Combinatorics: The

More information

Binomial Coefficient Identities/Complements

Binomial Coefficient Identities/Complements Binomial Coefficient Identities/Complements CSE21 Fall 2017, Day 4 Oct 6, 2017 https://sites.google.com/a/eng.ucsd.edu/cse21-fall-2017-miles-jones/ permutation P(n,r) = n(n-1) (n-2) (n-r+1) = Terminology

More information

Math.3336: Discrete Mathematics. Combinatorics: Basics of Counting

Math.3336: Discrete Mathematics. Combinatorics: Basics of Counting Math.3336: Discrete Mathematics Combinatorics: Basics of Counting Instructor: Dr. Blerina Xhabli Department of Mathematics, University of Houston https://www.math.uh.edu/ blerina Email: blerina@math.uh.edu

More information

Combinatorics. But there are some standard techniques. That s what we ll be studying.

Combinatorics. But there are some standard techniques. That s what we ll be studying. Combinatorics Problem: How to count without counting. How do you figure out how many things there are with a certain property without actually enumerating all of them. Sometimes this requires a lot of

More information

Discrete Mathematics & Mathematical Reasoning Chapter 6: Counting

Discrete Mathematics & Mathematical Reasoning Chapter 6: Counting Discrete Mathematics & Mathematical Reasoning Chapter 6: Counting Kousha Etessami U. of Edinburgh, UK Kousha Etessami (U. of Edinburgh, UK) Discrete Mathematics (Chapter 6) 1 / 39 Chapter Summary The Basics

More information

Counting Methods. CSE 191, Class Note 05: Counting Methods Computer Sci & Eng Dept SUNY Buffalo

Counting Methods. CSE 191, Class Note 05: Counting Methods Computer Sci & Eng Dept SUNY Buffalo Counting Methods CSE 191, Class Note 05: Counting Methods Computer Sci & Eng Dept SUNY Buffalo c Xin He (University at Buffalo) CSE 191 Discrete Structures 1 / 48 Need for Counting The problem of counting

More information

Lecture 4: Counting, Pigeonhole Principle, Permutations, Combinations Lecturer: Lale Özkahya

Lecture 4: Counting, Pigeonhole Principle, Permutations, Combinations Lecturer: Lale Özkahya BBM 205 Discrete Mathematics Hacettepe University http://web.cs.hacettepe.edu.tr/ bbm205 Lecture 4: Counting, Pigeonhole Principle, Permutations, Combinations Lecturer: Lale Özkahya Resources: Kenneth

More information

Chapter 7. Inclusion-Exclusion a.k.a. The Sieve Formula

Chapter 7. Inclusion-Exclusion a.k.a. The Sieve Formula Chapter 7. Inclusion-Exclusion a.k.a. The Sieve Formula Prof. Tesler Math 184A Fall 2019 Prof. Tesler Ch. 7. Inclusion-Exclusion Math 184A / Fall 2019 1 / 25 Venn diagram and set sizes A = {1, 2, 3, 4,

More information

Announcements. CSE 321 Discrete Structures. Counting. Counting Rules. Important cases of the Product Rule. Counting examples.

Announcements. CSE 321 Discrete Structures. Counting. Counting Rules. Important cases of the Product Rule. Counting examples. Announcements CSE 321 Discrete Structures Winter 2008 Lecture 16 Counting Readings Friday, Wednesday: Counting 6 th edition: 5.1, 5.2, 5.3, 5 th edition: 4.1, 4.2. 4.3 Lecture 16 video will be posted on

More information

Basic Combinatorics. Math 40210, Section 01 Fall Homework 8 Solutions

Basic Combinatorics. Math 40210, Section 01 Fall Homework 8 Solutions Basic Combinatorics Math 4010, Section 01 Fall 01 Homework 8 Solutions 1.8.1 1: K n has ( n edges, each one of which can be given one of two colors; so Kn has (n -edge-colorings. 1.8.1 3: Let χ : E(K k

More information

Relations MATH Relations. Benjamin V.C. Collins, James A. Swenson MATH 2730

Relations MATH Relations. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Benjamin V.C. Collins James A. Swenson among integers equals a = b is true for some pairs (a, b) Z Z, but not for all pairs. is less than a < b is true for some pairs (a, b) Z Z, but not for

More information

Counting Strategies: Inclusion-Exclusion, Categories

Counting Strategies: Inclusion-Exclusion, Categories Counting Strategies: Inclusion-Exclusion, Categories Russell Impagliazzo and Miles Jones Thanks to Janine Tiefenbruck http://cseweb.ucsd.edu/classes/sp16/cse21-bd/ May 4, 2016 A scheduling problem In one

More information

Notes. Combinatorics. Combinatorics II. Notes. Notes. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Spring 2006

Notes. Combinatorics. Combinatorics II. Notes. Notes. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Spring 2006 Combinatorics Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Spring 2006 Computer Science & Engineering 235 Introduction to Discrete Mathematics Sections 4.1-4.6 & 6.5-6.6 of Rosen cse235@cse.unl.edu

More information

Counting with Categories and Binomial Coefficients

Counting with Categories and Binomial Coefficients Counting with Categories and Binomial Coefficients CSE21 Winter 2017, Day 17 (B00), Day 12 (A00) February 22, 2017 http://vlsicad.ucsd.edu/courses/cse21-w17 When sum rule fails Rosen p. 392-394 Let A =

More information

Name (please print) Mathematics Final Examination December 14, 2005 I. (4)

Name (please print) Mathematics Final Examination December 14, 2005 I. (4) Mathematics 513-00 Final Examination December 14, 005 I Use a direct argument to prove the following implication: The product of two odd integers is odd Let m and n be two odd integers Since they are odd,

More information

Contradiction MATH Contradiction. Benjamin V.C. Collins, James A. Swenson MATH 2730

Contradiction MATH Contradiction. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Contradiction Benjamin V.C. Collins James A. Swenson Contrapositive The contrapositive of the statement If A, then B is the statement If not B, then not A. A statement and its contrapositive

More information

1 The Basic Counting Principles

1 The Basic Counting Principles 1 The Basic Counting Principles The Multiplication Rule If an operation consists of k steps and the first step can be performed in n 1 ways, the second step can be performed in n ways [regardless of how

More information

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School Basic counting techniques Periklis A. Papakonstantinou Rutgers Business School i LECTURE NOTES IN Elementary counting methods Periklis A. Papakonstantinou MSIS, Rutgers Business School ALL RIGHTS RESERVED

More information

5 Group theory. 5.1 Binary operations

5 Group theory. 5.1 Binary operations 5 Group theory This section is an introduction to abstract algebra. This is a very useful and important subject for those of you who will continue to study pure mathematics. 5.1 Binary operations 5.1.1

More information

UNCORRECTED SAMPLE PAGES. Extension 1. The binomial expansion and. Digital resources for this chapter

UNCORRECTED SAMPLE PAGES. Extension 1. The binomial expansion and. Digital resources for this chapter 15 Pascal s In Chapter 10 we discussed the factoring of a polynomial into irreducible factors, so that it could be written in a form such as P(x) = (x 4) 2 (x + 1) 3 (x 2 + x + 1). In this chapter we will

More information

SERIES

SERIES SERIES.... This chapter revisits sequences arithmetic then geometric to see how these ideas can be extended, and how they occur in other contexts. A sequence is a list of ordered numbers, whereas a series

More information

Introduction to Decision Sciences Lecture 11

Introduction to Decision Sciences Lecture 11 Introduction to Decision Sciences Lecture 11 Andrew Nobel October 24, 2017 Basics of Counting Product Rule Product Rule: Suppose that the elements of a collection S can be specified by a sequence of k

More information

1 Counting Collections of Functions and of Subsets.

1 Counting Collections of Functions and of Subsets. 1 Counting Collections of Functions and of Subsets See p144 All page references are to PJEccles book unless otherwise stated Let X and Y be sets Definition 11 F un (X, Y will be the set of all functions

More information

The Inclusion Exclusion Principle

The Inclusion Exclusion Principle The Inclusion Exclusion Principle 1 / 29 Outline Basic Instances of The Inclusion Exclusion Principle The General Inclusion Exclusion Principle Counting Derangements Counting Functions Stirling Numbers

More information

Foundations of Computer Science Lecture 14 Advanced Counting

Foundations of Computer Science Lecture 14 Advanced Counting Foundations of Computer Science Lecture 14 Advanced Counting Sequences with Repetition Union of Overlapping Sets: Inclusion-Exclusion Pigeonhole Principle Last Time To count complex objects, construct

More information

Connection MATH Connection. Benjamin V.C. Collins, James A. Swenson MATH 2730

Connection MATH Connection. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Benjamin V.C. Collins James A. Swenson Traveling Salesman Problem Image: Padberg-Rinaldi, 1987: 532 cities http://www.tsp.gatech.edu/data/usa/tours.html Walks in a graph Let G = (V, E) be a graph.

More information

1 Basic Combinatorics

1 Basic Combinatorics 1 Basic Combinatorics 1.1 Sets and sequences Sets. A set is an unordered collection of distinct objects. The objects are called elements of the set. We use braces to denote a set, for example, the set

More information

MGF 1106: Exam 1 Solutions

MGF 1106: Exam 1 Solutions MGF 1106: Exam 1 Solutions 1. (15 points total) True or false? Explain your answer. a) A A B Solution: Drawn as a Venn diagram, the statement says: This is TRUE. The union of A with any set necessarily

More information

Greatest Common Divisor MATH Greatest Common Divisor. Benjamin V.C. Collins, James A. Swenson MATH 2730

Greatest Common Divisor MATH Greatest Common Divisor. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Greatest Common Divisor Benjamin V.C. Collins James A. Swenson The world s least necessary definition Definition Let a, b Z, not both zero. The largest integer d such that d a and d b is called

More information

Applications. More Counting Problems. Complexity of Algorithms

Applications. More Counting Problems. Complexity of Algorithms Recurrences Applications More Counting Problems Complexity of Algorithms Part I Recurrences and Binomial Coefficients Paths in a Triangle P(0, 0) P(1, 0) P(1,1) P(2, 0) P(2,1) P(2, 2) P(3, 0) P(3,1) P(3,

More information

Massachusetts Institute of Technology Handout J/18.062J: Mathematics for Computer Science May 3, 2000 Professors David Karger and Nancy Lynch

Massachusetts Institute of Technology Handout J/18.062J: Mathematics for Computer Science May 3, 2000 Professors David Karger and Nancy Lynch Massachusetts Institute of Technology Handout 48 6.042J/18.062J: Mathematics for Computer Science May 3, 2000 Professors David Karger and Nancy Lynch Quiz 2 Solutions Problem 1 [10 points] Consider n >

More information

Set theory background for probability

Set theory background for probability Set theory background for probability Defining sets (a very naïve approach) A set is a collection of distinct objects. The objects within a set may be arbitrary, with the order of objects within them having

More information

CISC-102 Fall 2018 Week 11

CISC-102 Fall 2018 Week 11 page! 1 of! 26 CISC-102 Fall 2018 Pascal s Triangle ( ) ( ) An easy ( ) ( way ) to calculate ( ) a table of binomial coefficients was recognized centuries ago by mathematicians in India, ) ( ) China, Iran

More information

Expectation MATH Expectation. Benjamin V.C. Collins, James A. Swenson MATH 2730

Expectation MATH Expectation. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Expectation Benjamin V.C. Collins James A. Swenson Average value Expectation Definition If (S, P) is a sample space, then any function with domain S is called a random variable. Idea Pick a real-valued

More information

MATH 10B METHODS OF MATHEMATICS: CALCULUS, STATISTICS AND COMBINATORICS

MATH 10B METHODS OF MATHEMATICS: CALCULUS, STATISTICS AND COMBINATORICS MATH 10B METHODS OF MATHEMATICS: CALCULUS, STATISTICS AND COMBINATORICS Lior Pachter and Lawrence C. Evans Department of Mathematics University of California Berkeley, CA 94720 January 21, 2013 Lior Pachter

More information

Unit 8: Statistics. SOL Review & SOL Test * Test: Unit 8 Statistics

Unit 8: Statistics. SOL Review & SOL Test * Test: Unit 8 Statistics Name: Block: Unit 8: Statistics Day 1 Sequences Day 2 Series Day 3 Permutations & Combinations Day 4 Normal Distribution & Empirical Formula Day 5 Normal Distribution * Day 6 Standard Normal Distribution

More information

With Question/Answer Animations. Chapter 7

With Question/Answer Animations. Chapter 7 With Question/Answer Animations Chapter 7 Chapter Summary Introduction to Discrete Probability Probability Theory Bayes Theorem Section 7.1 Section Summary Finite Probability Probabilities of Complements

More information

MATH PRIZE FOR GIRLS. Test Version A

MATH PRIZE FOR GIRLS. Test Version A Advantage Testing Foundation Ath The Eighth rize For Annual irls MATH PRIZE FOR GIRLS Saturday, September 10, 2016 TEST BOOKLET Test Version A DIRECTIONS 1. Do not open this test until your proctor instructs

More information

Mathematical Structures Combinations and Permutations

Mathematical Structures Combinations and Permutations Definitions: Suppose S is a (finite) set and n, k 0 are integers The set C(S, k) of k - combinations consists of all subsets of S that have exactly k elements The set P (S, k) of k - permutations consists

More information

Solution: There are 30 choices for the first person to leave, 29 for the second, etc. Thus this exodus can occur in. = P (30, 8) ways.

Solution: There are 30 choices for the first person to leave, 29 for the second, etc. Thus this exodus can occur in. = P (30, 8) ways. Math-2320 Assignment 7 Solutions Problem 1: (Section 7.1 Exercise 4) There are 30 people in a class learning about permutations. One after another, eight people gradually slip out the back door. In how

More information

MATH 433 Applied Algebra Lecture 22: Review for Exam 2.

MATH 433 Applied Algebra Lecture 22: Review for Exam 2. MATH 433 Applied Algebra Lecture 22: Review for Exam 2. Topics for Exam 2 Permutations Cycles, transpositions Cycle decomposition of a permutation Order of a permutation Sign of a permutation Symmetric

More information

Chapter 1 : The language of mathematics.

Chapter 1 : The language of mathematics. MAT 200, Logic, Language and Proof, Fall 2015 Summary Chapter 1 : The language of mathematics. Definition. A proposition is a sentence which is either true or false. Truth table for the connective or :

More information

W3203 Discrete Mathema1cs. Coun1ng. Spring 2015 Instructor: Ilia Vovsha.

W3203 Discrete Mathema1cs. Coun1ng. Spring 2015 Instructor: Ilia Vovsha. W3203 Discrete Mathema1cs Coun1ng Spring 2015 Instructor: Ilia Vovsha h@p://www.cs.columbia.edu/~vovsha/w3203 Outline Bijec1on rule Sum, product, division rules Permuta1ons and combina1ons Sequences with

More information

( ) is called the dependent variable because its

( ) is called the dependent variable because its page 1 of 16 CLASS NOTES: 3 8 thru 4 3 and 11 7 Functions, Exponents and Polynomials 3 8: Function Notation A function is a correspondence between two sets, the domain (x) and the range (y). An example

More information

Discrete Probability

Discrete Probability Discrete Probability Counting Permutations Combinations r- Combinations r- Combinations with repetition Allowed Pascal s Formula Binomial Theorem Conditional Probability Baye s Formula Independent Events

More information

then the hard copy will not be correct whenever your instructor modifies the assignments.

then the hard copy will not be correct whenever your instructor modifies the assignments. Assignments for Math 2030 then the hard copy will not be correct whenever your instructor modifies the assignments. exams, but working through the problems is a good way to prepare for the exams. It is

More information

CDM Combinatorial Principles

CDM Combinatorial Principles CDM Combinatorial Principles 1 Counting Klaus Sutner Carnegie Mellon University Pigeon Hole 22-in-exclusion 2017/12/15 23:16 Inclusion/Exclusion Counting 3 Aside: Ranking and Unranking 4 Counting is arguably

More information

SESSION CLASS-XI SUBJECT : MATHEMATICS FIRST TERM

SESSION CLASS-XI SUBJECT : MATHEMATICS FIRST TERM TERMWISE SYLLABUS SESSION-2018-19 CLASS-XI SUBJECT : MATHEMATICS MONTH July, 2018 to September 2018 CONTENTS FIRST TERM Unit-1: Sets and Functions 1. Sets Sets and their representations. Empty set. Finite

More information

Probability 1 (MATH 11300) lecture slides

Probability 1 (MATH 11300) lecture slides Probability 1 (MATH 11300) lecture slides Márton Balázs School of Mathematics University of Bristol Autumn, 2015 December 16, 2015 To know... http://www.maths.bris.ac.uk/ mb13434/prob1/ m.balazs@bristol.ac.uk

More information

A is a subset of (contained in) B A B iff x A = x B Socrates is a man. All men are mortal. A = B iff A B and B A. A B means A is a proper subset of B

A is a subset of (contained in) B A B iff x A = x B Socrates is a man. All men are mortal. A = B iff A B and B A. A B means A is a proper subset of B Subsets C-N Math 207 - Massey, 71 / 125 Sets A is a subset of (contained in) B A B iff x A = x B Socrates is a man. All men are mortal. A = B iff A B and B A x A x B A B means A is a proper subset of B

More information

Sets. Subsets. for any set A, A and A A vacuously true: if x then x A transitivity: A B, B C = A C N Z Q R C. C-N Math Massey, 72 / 125

Sets. Subsets. for any set A, A and A A vacuously true: if x then x A transitivity: A B, B C = A C N Z Q R C. C-N Math Massey, 72 / 125 Subsets Sets A is a subset of (contained in) B A B iff x A = x B Socrates is a man. All men are mortal. A = B iff A B and B A x A x B A B means A is a proper subset of B A B but A B, so x B x / A Illustrate

More information

Lecture 3: Miscellaneous Techniques

Lecture 3: Miscellaneous Techniques Lecture 3: Miscellaneous Techniques Rajat Mittal IIT Kanpur In this document, we will take a look at few diverse techniques used in combinatorics, exemplifying the fact that combinatorics is a collection

More information

Some Review Problems for Exam 3: Solutions

Some Review Problems for Exam 3: Solutions Math 3355 Spring 017 Some Review Problems for Exam 3: Solutions I thought I d start by reviewing some counting formulas. Counting the Complement: Given a set U (the universe for the problem), if you want

More information

1. Foundations of Numerics from Advanced Mathematics. Mathematical Essentials and Notation

1. Foundations of Numerics from Advanced Mathematics. Mathematical Essentials and Notation 1. Foundations of Numerics from Advanced Mathematics Mathematical Essentials and Notation Mathematical Essentials and Notation, October 22, 2012 1 The main purpose of this first chapter (about 4 lectures)

More information

Combinations. April 12, 2006

Combinations. April 12, 2006 Combinations April 12, 2006 Combinations, April 12, 2006 Binomial Coecients Denition. The number of distinct subsets with j elements that can be chosen from a set with n elements is denoted by ( n j).

More information

Notes Week 2 Chapter 3 Probability WEEK 2 page 1

Notes Week 2 Chapter 3 Probability WEEK 2 page 1 Notes Week 2 Chapter 3 Probability WEEK 2 page 1 The sample space of an experiment, sometimes denoted S or in probability theory, is the set that consists of all possible elementary outcomes of that experiment

More information

NATIONAL BOARD FOR HIGHER MATHEMATICS. M. A. and M.Sc. Scholarship Test. September 22, Time Allowed: 150 Minutes Maximum Marks: 30

NATIONAL BOARD FOR HIGHER MATHEMATICS. M. A. and M.Sc. Scholarship Test. September 22, Time Allowed: 150 Minutes Maximum Marks: 30 NATIONAL BOARD FOR HIGHER MATHEMATICS M A and MSc Scholarship Test September 22, 2018 Time Allowed: 150 Minutes Maximum Marks: 30 Please read, carefully, the instructions that follow INSTRUCTIONS TO CANDIDATES

More information

MULTIPLYING POLYNOMIALS. The student is expected to multiply polynomials of degree one and degree two.

MULTIPLYING POLYNOMIALS. The student is expected to multiply polynomials of degree one and degree two. MULTIPLYING POLYNOMIALS A.10B The student is expected to multiply polynomials of degree one and degree two. TELL ME MORE A polynomial is an expression that is a sum of several terms. Polynomials may contain

More information

Do not open this exam until you are told to begin. You will have 75 minutes for the exam.

Do not open this exam until you are told to begin. You will have 75 minutes for the exam. Math 2603 Midterm 1 Spring 2018 Your Name Student ID # Section Do not open this exam until you are told to begin. You will have 75 minutes for the exam. Check that you have a complete exam. There are 5

More information

Lecture 4/12: Polar Form and Euler s Formula. 25 Jan 2007

Lecture 4/12: Polar Form and Euler s Formula. 25 Jan 2007 Lecture 4/12: Polar Form and Euler s Formula MA154: Algebra for 1st Year IT Niall Madden Niall.Madden@NUIGalway.ie 25 Jan 2007 CS457 Lecture 4/12: Polar Form and Euler s Formula 1/17 Outline 1 Recall...

More information

Sets. A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set.

Sets. A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set. Sets A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set. If A and B are sets, then the set of ordered pairs each

More information

6 CARDINALITY OF SETS

6 CARDINALITY OF SETS 6 CARDINALITY OF SETS MATH10111 - Foundations of Pure Mathematics We all have an idea of what it means to count a finite collection of objects, but we must be careful to define rigorously what it means

More information

Executive Assessment. Executive Assessment Math Review. Section 1.0, Arithmetic, includes the following topics:

Executive Assessment. Executive Assessment Math Review. Section 1.0, Arithmetic, includes the following topics: Executive Assessment Math Review Although the following provides a review of some of the mathematical concepts of arithmetic and algebra, it is not intended to be a textbook. You should use this chapter

More information

ENGG 2440B Discrete Mathematics for Engineers Tutorial 8

ENGG 2440B Discrete Mathematics for Engineers Tutorial 8 ENGG 440B Discrete Mathematics for Engineers Tutorial 8 Jiajin Li Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong jjli@se.cuhk.edu.hk November, 018 Jiajin

More information

Combinatorial Analysis

Combinatorial Analysis Chapter 1 Combinatorial Analysis STAT 302, Department of Statistics, UBC 1 A starting example: coin tossing Consider the following random experiment: tossing a fair coin twice There are four possible outcomes,

More information

Named numbres. Ngày 25 tháng 11 năm () Named numbres Ngày 25 tháng 11 năm / 7

Named numbres. Ngày 25 tháng 11 năm () Named numbres Ngày 25 tháng 11 năm / 7 Named numbres Ngày 25 tháng 11 năm 2011 () Named numbres Ngày 25 tháng 11 năm 2011 1 / 7 Fibonacci, Catalan, Stirling, Euler, Bernoulli Many sequences are famous. 1 1, 2, 3, 4,... the integers. () Named

More information

{ 0! = 1 n! = n(n 1)!, n 1. n! =

{ 0! = 1 n! = n(n 1)!, n 1. n! = Summations Question? What is the sum of the first 100 positive integers? Counting Question? In how many ways may the first three horses in a 10 horse race finish? Multiplication Principle: If an event

More information

Combinations and Probabilities

Combinations and Probabilities Combinations and Probabilities Tutor: Zhang Qi Systems Engineering and Engineering Management qzhang@se.cuhk.edu.hk November 2014 Tutor: Zhang Qi (SEEM) Tutorial 7 November 2014 1 / 16 Combination Review

More information

µ (X) := inf l(i k ) where X k=1 I k, I k an open interval Notice that is a map from subsets of R to non-negative number together with infinity

µ (X) := inf l(i k ) where X k=1 I k, I k an open interval Notice that is a map from subsets of R to non-negative number together with infinity A crash course in Lebesgue measure theory, Math 317, Intro to Analysis II These lecture notes are inspired by the third edition of Royden s Real analysis. The Jordan content is an attempt to extend the

More information

NEW YORK ALGEBRA TABLE OF CONTENTS

NEW YORK ALGEBRA TABLE OF CONTENTS NEW YORK ALGEBRA TABLE OF CONTENTS CHAPTER 1 NUMBER SENSE & OPERATIONS TOPIC A: Number Theory: Properties of Real Numbers {A.N.1} PART 1: Closure...1 PART 2: Commutative Property...2 PART 3: Associative

More information

Know the Well-ordering principle: Any set of positive integers which has at least one element contains a smallest element.

Know the Well-ordering principle: Any set of positive integers which has at least one element contains a smallest element. The first exam will be on Monday, June 8, 202. The syllabus will be sections. and.2 in Lax, and the number theory handout found on the class web site, plus the handout on the method of successive squaring

More information

2030 LECTURES. R. Craigen. Inclusion/Exclusion and Relations

2030 LECTURES. R. Craigen. Inclusion/Exclusion and Relations 2030 LECTURES R. Craigen Inclusion/Exclusion and Relations The Principle of Inclusion-Exclusion 7 ROS enumerates the union of disjoint sets. What if sets overlap? Some 17 out of 30 students in a class

More information

(1) Which of the following are propositions? If it is a proposition, determine its truth value: A propositional function, but not a proposition.

(1) Which of the following are propositions? If it is a proposition, determine its truth value: A propositional function, but not a proposition. Math 231 Exam Practice Problem Solutions WARNING: This is not a sample test. Problems on the exams may or may not be similar to these problems. These problems are just intended to focus your study of the

More information

Manipulating Equations

Manipulating Equations Manipulating Equations Now that you know how to set up an equation, the next thing you need to do is solve for the value that the question asks for. Above all, the most important thing to remember when

More information

Counting. Mukulika Ghosh. Fall Based on slides by Dr. Hyunyoung Lee

Counting. Mukulika Ghosh. Fall Based on slides by Dr. Hyunyoung Lee Counting Mukulika Ghosh Fall 2018 Based on slides by Dr. Hyunyoung Lee Counting Counting The art of counting is known as enumerative combinatorics. One tries to count the number of elements in a set (or,

More information

On Certain Sums of Stirling Numbers with Binomial Coefficients

On Certain Sums of Stirling Numbers with Binomial Coefficients 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 18 (2015, Article 15.9.6 On Certain Sums of Stirling Numbers with Binomial Coefficients H. W. Gould Department of Mathematics West Virginia University

More information

1. How many labeled trees are there on n vertices such that all odd numbered vertices are leaves?

1. How many labeled trees are there on n vertices such that all odd numbered vertices are leaves? 1. How many labeled trees are there on n vertices such that all odd numbered vertices are leaves? This is most easily done by Prüfer codes. The number of times a vertex appears is the degree of the vertex.

More information

Math 564 Homework 1. Solutions.

Math 564 Homework 1. Solutions. Math 564 Homework 1. Solutions. Problem 1. Prove Proposition 0.2.2. A guide to this problem: start with the open set S = (a, b), for example. First assume that a >, and show that the number a has the properties

More information

Modular Arithmetic Instructor: Marizza Bailey Name:

Modular Arithmetic Instructor: Marizza Bailey Name: Modular Arithmetic Instructor: Marizza Bailey Name: 1. Introduction to Modular Arithmetic If someone asks you what day it is 145 days from now, what would you answer? Would you count 145 days, or find

More information

Equivalence of Propositions

Equivalence of Propositions Equivalence of Propositions 1. Truth tables: two same columns 2. Sequence of logical equivalences: from one to the other using equivalence laws 1 Equivalence laws Table 6 & 7 in 1.2, some often used: Associative:

More information

Notes slides from before lecture. CSE 21, Winter 2017, Section A00. Lecture 16 Notes. Class URL:

Notes slides from before lecture. CSE 21, Winter 2017, Section A00. Lecture 16 Notes. Class URL: Notes slides from before lecture CSE 21, Winter 2017, Section A00 Lecture 16 Notes Class URL: http://vlsicad.ucsd.edu/courses/cse21-w17/ Notes slides from before lecture Notes March 8 (1) This week: Days

More information

and Other Combinatorial Reciprocity Instances

and Other Combinatorial Reciprocity Instances and Other Combinatorial Reciprocity Instances Matthias Beck San Francisco State University math.sfsu.edu/beck [Courtney Gibbons] Act 1: Binomial Coefficients Not everything that can be counted counts,

More information

Problems from Probability and Statistical Inference (9th ed.) by Hogg, Tanis and Zimmerman.

Problems from Probability and Statistical Inference (9th ed.) by Hogg, Tanis and Zimmerman. Math 224 Fall 2017 Homework 1 Drew Armstrong Problems from Probability and Statistical Inference (9th ed.) by Hogg, Tanis and Zimmerman. Section 1.1, Exercises 4,5,6,7,9,12. Solutions to Book Problems.

More information

Chapter 8 Sequences, Series, and Probability

Chapter 8 Sequences, Series, and Probability Chapter 8 Sequences, Series, and Probability Overview 8.1 Sequences and Series 8.2 Arithmetic Sequences and Partial Sums 8.3 Geometric Sequences and Partial Sums 8.5 The Binomial Theorem 8.6 Counting Principles

More information

MATH 556: PROBABILITY PRIMER

MATH 556: PROBABILITY PRIMER MATH 6: PROBABILITY PRIMER 1 DEFINITIONS, TERMINOLOGY, NOTATION 1.1 EVENTS AND THE SAMPLE SPACE Definition 1.1 An experiment is a one-off or repeatable process or procedure for which (a there is a well-defined

More information

Math 550 Notes. Chapter 2. Jesse Crawford. Department of Mathematics Tarleton State University. Fall 2010

Math 550 Notes. Chapter 2. Jesse Crawford. Department of Mathematics Tarleton State University. Fall 2010 Math 550 Notes Chapter 2 Jesse Crawford Department of Mathematics Tarleton State University Fall 2010 (Tarleton State University) Math 550 Chapter 2 Fall 2010 1 / 20 Linear algebra deals with finite dimensional

More information

MATH MW Elementary Probability Course Notes Part I: Models and Counting

MATH MW Elementary Probability Course Notes Part I: Models and Counting MATH 2030 3.00MW Elementary Probability Course Notes Part I: Models and Counting Tom Salisbury salt@yorku.ca York University Winter 2010 Introduction [Jan 5] Probability: the mathematics used for Statistics

More information

How do we analyze, evaluate, solve, and graph quadratic functions?

How do we analyze, evaluate, solve, and graph quadratic functions? Topic: 4. Quadratic Functions and Factoring Days: 18 Key Learning: Students will be able to analyze, evaluate, solve and graph quadratic functions. Unit Essential Question(s): How do we analyze, evaluate,

More information

Discrete Mathematics, Spring 2004 Homework 4 Sample Solutions

Discrete Mathematics, Spring 2004 Homework 4 Sample Solutions Discrete Mathematics, Spring 2004 Homework 4 Sample Solutions 4.2 #77. Let s n,k denote the number of ways to seat n persons at k round tables, with at least one person at each table. (The numbers s n,k

More information

Math 121. Practice Problems from Chapters 9, 10, 11 Fall 2016

Math 121. Practice Problems from Chapters 9, 10, 11 Fall 2016 Math 121. Practice Problems from Chapters 9, 10, 11 Fall 2016 Topic 1. Systems of Linear Equations in Two Variables 1. Solve systems of equations using elimination. For practice see Exercises 1, 2. 2.

More information

Animals and 2-Motzkin Paths

Animals and 2-Motzkin Paths 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 8 (2005), Article 0556 Animals and 2-Motzkin Paths Wen-jin Woan 1 Department of Mathematics Howard University Washington, DC 20059 USA wwoan@howardedu

More information

We are going to discuss what it means for a sequence to converge in three stages: First, we define what it means for a sequence to converge to zero

We are going to discuss what it means for a sequence to converge in three stages: First, we define what it means for a sequence to converge to zero Chapter Limits of Sequences Calculus Student: lim s n = 0 means the s n are getting closer and closer to zero but never gets there. Instructor: ARGHHHHH! Exercise. Think of a better response for the instructor.

More information

Solutions 2017 AB Exam

Solutions 2017 AB Exam 1. Solve for x : x 2 = 4 x. Solutions 2017 AB Exam Texas A&M High School Math Contest October 21, 2017 ANSWER: x = 3 Solution: x 2 = 4 x x 2 = 16 8x + x 2 x 2 9x + 18 = 0 (x 6)(x 3) = 0 x = 6, 3 but x

More information

Combinatorial Proofs and Algebraic Proofs I

Combinatorial Proofs and Algebraic Proofs I Combinatorial Proofs and Algebraic Proofs I Shailesh A Shirali Shailesh A Shirali is Director of Sahyadri School (KFI), Pune, and also Head of the Community Mathematics Centre in Rishi Valley School (AP).

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

Regular Languages and Finite Automata

Regular Languages and Finite Automata Regular Languages and Finite Automata Theorem: Every regular language is accepted by some finite automaton. Proof: We proceed by induction on the (length of/structure of) the description of the regular

More information

Iowa State University. Instructor: Alex Roitershtein Summer Exam #1. Solutions. x u = 2 x v

Iowa State University. Instructor: Alex Roitershtein Summer Exam #1. Solutions. x u = 2 x v Math 501 Iowa State University Introduction to Real Analysis Department of Mathematics Instructor: Alex Roitershtein Summer 015 Exam #1 Solutions This is a take-home examination. The exam includes 8 questions.

More information

CSE 21 Practice Exam for Midterm 2 Fall 2017

CSE 21 Practice Exam for Midterm 2 Fall 2017 CSE 1 Practice Exam for Midterm Fall 017 These practice problems should help prepare you for the second midterm, which is on monday, November 11 This is longer than the actual exam will be, but good practice

More information

Probability (Devore Chapter Two)

Probability (Devore Chapter Two) Probability (Devore Chapter Two) 1016-345-01: Probability and Statistics for Engineers Fall 2012 Contents 0 Administrata 2 0.1 Outline....................................... 3 1 Axiomatic Probability 3

More information