What is counting? (how many ways of doing things) how many possible ways to choose 4 people from 10?
|
|
- Kristopher Barton
- 5 years ago
- Views:
Transcription
1 Chapter 5. Counting 5.1 The Basic of Counting What is counting? (how many ways of doing things) combinations: how many possible ways to choose 4 people from 10? how many license plates that start with letter A or end digit 0? 1
2 basic counting principles: The production rule: if a procedure can be broken into a sequence of two tasks, then there are n 1 n 2 ways to do the procedure if there are n 1 ways for doing first task and n 2 ways of doing the second. examples: how many possible vehicle license tags if they are allowed to have 3 letters and 4 digits? how many 1-1 functions between two sets? pages A 1 A 2 = A 1 A 2 A 1 A 2... A m = A 1 A 2... A m 2
3 The sum rule: If a task can be thought of as either of two takes that do not overlap, then there are n 1 + n 2 ways of accomplishing the original task, where n 1 and n 2 are the numbers of ways to finish the two tasks respectively. examples: pages A 1 A 2 = A 1 + A 2 A 1 A 2... A m = A 1 + A A m note: A i A j = φ is required. 3
4 More complex counting problems: examples pages The inclusion-exclusion principle examples: (1) number of binary strings of length 8 that begin with 1 and ends with 00 s (2) number of binary strings of length 8 that begin with 1 or ends with 00 s A 1 A 2 = A 1 + A 2 A 1 A 2 The tree diagram examples (pages ) 4
5 5.2 Pigeonhole Principle Theorem 1 (Pigeonhole Principle) If k + 1 or more objects are placed into k boxes, then there is at least one box containing two or more objects. Corollary 1 A function f from a set with k +1 elements to a set with k elements is not 1-1. examples (page 348) Theorem 2 (Generalized Pigeonhole Principle) If N objects are placed into k boxes, then there is at least one box containing at least N/k objects. examples (pages ) 5
6 Elegant applicants of the Pigeonhole principles pages Example 11: Among any n + 1 positive integers not exceeding 2n, there must be an integer that divides one of the other integers. Proof 1: The set of numbers not exceeding 2n is {1, 2, 3, 4,..., 2n} = {1, 3,..., 2n 1} {2, 4,..., 2n} A rigorous argument: Assume these n + 1 numbers to be a 1, a 2,..., a n+1. a i can be written as 2 k i q i for some odd number q i. So in q 1, q 2,... q n+1, there must be two numbers q j and q k are the same because there are only n odd numbers. So a j can divide a k or the other way. 6
7 Theorem 3 Every sequence of n distinct real numbers contains a subsequence of length n+1 that is either strictly increasing or strictly decreasing. Example: 8, 11, 9, 1, 4, 6, 12, 10, 5, 7 10 = , here n = 3. increasing subsequence: 1, 4, 6, 10 of length = 4. The idea of a proof: associate each number a k in the sequence with a pair (i k, d k ), where i k is the length of a longest increasing subsequence beginning from a k and d k is the length of the longest decreasing subsequence beginning from a k 8, 11, 9, 1, 4, 6, 12, 10, 5, 7 (3,3) (2,4) (2,3) (4,1) (3,1) (2,2) (1,3) (1,2) (2,1) (1,1) Assume that theorem is incorrect, then i k n and d k n and the total number of such pairs is at most n 2. So two of such pairs must be the same. Let these two pairs be (i s, d s ) and (i t, d t ) and i s = i t and d s = d t. Suppose a s < a t, then we can build length i s + 1 increasing subsequence starting at a s. This is a contradiction. The same argument applied to the case a s > a t. 7
8 Ramsey theory: In a group of 6 people, either there are three mutually know each other, or three mutual strangers to each other. Proof: Fixing a person A. Then for the rest 5 people, there can be grouped according to whether knowing A or not. So there must be 5/2 = 3 people such that every one of the three knows A or none of the 3 knows A. In the former case, assume they are B, C, D. If any two of B, C, D, say B, C, know each other, then A, B, C know each other. If no two in B, C, D know each other, then B, C, D are strangers to each other. A similar argument can be made to the latter case that none of B, C, D knows A. 8
9 5.3 Permutations and Combinations permutation: an ordered arrangement of a set of objects. The number of permutations of n objects is n! how to get this? r-permutation of n element: an arrangement of r objects, denoted by P (n, r) Theorem 1 P (n, r) = n (n 1)... (n r + 1) P (n, r) = n! (n r)! Examples (pages ) 9
10 r-combination: an unordered selection of r objects. Theorem 2 The number of r-combinations of n objects Proof: C(n, r) = P (n, r) = C(n, r)p (r, r). So n! r!(n r)! C(n, r) = P (n, r)/p (r, r) = P (n.r)/(r!) = n! (n r)! /(r!) = n! r!(n r)! Corollary 2 C(n, r) = C(n, n r). Examples (pages ). Definition: A combinatorial proof of an identity is a proof that uses counting argument to prove the both sides of the identity count the same objects but in different ways. 10
Sec 5.1 The Basics of Counting
1 Sec 5.1 The Basics of Counting Combinatorics, the study of arrangements of objects, is an important part of discrete mathematics. In this chapter, we will learn basic techniques of counting which has
More informationWith Question/Answer Animations. Chapter 6
With Question/Answer Animations Chapter 6 Chapter Summary The Basics of Counting The Pigeonhole Principle Permutations and Combinations Binomial Coefficients and Identities Generalized Permutations and
More information6.1 Basics of counting
6.1 Basics of counting CSE2023 Discrete Computational Structures Lecture 17 1 Combinatorics: they study of arrangements of objects Enumeration: the counting of objects with certain properties (an important
More informationTopics to be covered
Basic Counting 1 Topics to be covered Sum rule, product rule, generalized product rule Permutations, combinations Binomial coefficients, combinatorial proof Inclusion-exclusion principle Pigeon Hole Principle
More informationThe Product Rule The Product Rule: A procedure can be broken down into a sequence of two tasks. There are n ways to do the first task and n
Chapter 5 Chapter Summary 5.1 The Basics of Counting 5.2 The Pigeonhole Principle 5.3 Permutations and Combinations 5.5 Generalized Permutations and Combinations Section 5.1 The Product Rule The Product
More informationSection Summary. Permutations Combinations Combinatorial Proofs
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
More informationOutline. Content The basics of counting The pigeonhole principle Reading Chapter 5 IRIS H.-R. JIANG
CHAPTER 5 COUNTING Outline 2 Content The basics of counting The pigeonhole principle Reading Chapter 5 Most of the following slides are by courtesy of Prof. J.-D. Huang and Prof. M.P. Frank Combinatorics
More informationTHE PIGEONHOLE PRINCIPLE. MARK FLANAGAN School of Electrical and Electronic Engineering University College Dublin
THE PIGEONHOLE PRINCIPLE MARK FLANAGAN School of Electrical and Electronic Engineering University College Dublin The Pigeonhole Principle: If n + 1 objects are placed into n boxes, then some box contains
More informationSec$on Summary. Permutations Combinations Combinatorial Proofs
Section 6.3 Sec$on Summary Permutations Combinations Combinatorial Proofs 2 Coun$ng ordered arrangements Ex: How many ways can we select 3 students from a group of 5 students to stand in line for a picture?
More informationThe Product Rule can be viewed as counting the number of elements in the Cartesian product of the finite sets
Chapter 6 - Counting 6.1 - The Basics of Counting Theorem 1 (The Product Rule). If every task in a set of k tasks must be done, where the first task can be done in n 1 ways, the second in n 2 ways, and
More informationCS100: DISCRETE STRUCTURES. Lecture 8 Counting - CH6
CS100: DISCRETE STRUCTURES Lecture 8 Counting - CH6 Lecture Overview 2 6.1 The Basics of Counting: THE PRODUCT RULE THE SUM RULE THE SUBTRACTION RULE THE DIVISION RULE 6.2 The Pigeonhole Principle. 6.3
More informationDiscrete Mathematics. Spring 2017
Discrete Mathematics Spring 2017 Previous Lecture Binomial Coefficients Pascal s Triangle The Pigeonhole Principle If a flock of 20 pigeons roosts in a set of 19 pigeonholes, one of the pigeonholes must
More informationCounting. Chapter 6. With Question/Answer Animations
. All rights reserved. Authorized only for instructor use in the classroom. No reproduction or further distribution permitted without the prior written consent of McGraw-Hill Education. Counting Chapter
More informationThe Pigeonhole Principle
The Pigeonhole Principle Some Questions Does there have to be two trees on Earth with the same number of leaves? How large of a set of distinct integers between 1 and 200 is needed to assure that two numbers
More informationDISCRETE STRUCTURES COUNTING
DISCRETE STRUCTURES COUNTING LECTURE2 The Pigeonhole Principle The generalized pigeonhole principle: If N objects are placed into k boxes, then there is at least one box containing at least N/k of the
More informationSec.on Summary. The Product Rule The Sum Rule The Subtraction Rule (Principle of Inclusion- Exclusion)
Chapter 6 1 Chapter Summary The Basics of Counting The Pigeonhole Principle Permutations and Combinations Binomial Coefficients and Identities Generalized Permutations and Combinations 2 Section 6.1 3
More informationJong C. Park Computer Science Division, KAIST
Jong C. Park Computer Science Division, KAIST Today s Topics Basic Principles Permutations and Combinations Algorithms for Generating Permutations Generalized Permutations and Combinations Binomial Coefficients
More informationIn how many ways can we paint 6 rooms, choosing from 15 available colors? What if we want all rooms painted with different colors?
What can we count? In how many ways can we paint 6 rooms, choosing from 15 available colors? What if we want all rooms painted with different colors? In how many different ways 10 books can be arranged
More informationCounting in Algorithms
Counting Counting in Algorithms How many comparisons are needed to sort n numbers? How many steps to compute the GCD of two numbers? How many steps to factor an integer? Counting in Games How many different
More informationDiscrete Mathematics: Logic. Discrete Mathematics: Lecture 15: Counting
Discrete Mathematics: Logic Discrete Mathematics: Lecture 15: Counting counting combinatorics: the study of the number of ways to put things together into various combinations basic counting principles
More informationToday s Topics. Sometimes when counting a set, we count the same item more than once
Today s Topics Inclusion/exclusion principle The pigeonhole principle Sometimes when counting a set, we count the same item more than once For instance, if something can be done n 1 ways or n 2 ways, but
More informationCOUNTING TECHNIQUES. Prepared by Engr. JP Timola Reference: Discrete Math by Kenneth H. Rosen
COUNTING TECHNIQUES Prepared by Engr. JP Timola Reference: Discrete Math by Kenneth H. Rosen COMBINATORICS the study of arrangements of objects, is an important part of discrete mathematics. Counting Introduction
More information9.5 Counting Subsets of a Set: Combinations. Answers for Test Yourself
9.5 Counting Subsets of a Set: Combinations 565 H 35. H 36. whose elements when added up give the same sum. (Thanks to Jonathan Goldstine for this problem. 34. Let S be a set of ten integers chosen from
More informationFoundations of Computing Discrete Mathematics Solutions to exercises for week 12
Foundations of Computing Discrete Mathematics Solutions to exercises for week 12 Agata Murawska (agmu@itu.dk) November 13, 2013 Exercise (6.1.2). A multiple-choice test contains 10 questions. There are
More information12. 6 jokes are minimal.
Pigeonhole Principle Pigeonhole Principle: When you organize n things into k categories, one of the categories has at least n/k things in it. Proof: If each category had fewer than n/k things in it then
More informationNON-OVERLAPPING PERMUTATION PATTERNS. To Doron Zeilberger, for his Sixtieth Birthday
NON-OVERLAPPING PERMUTATION PATTERNS MIKLÓS BÓNA Abstract. We show a way to compute, to a high level of precision, the probability that a randomly selected permutation of length n is nonoverlapping. As
More informationWith Question/Answer Animations. Chapter 6
With Question/Answer Animations Chapter 6 Chapter Summary The Basics of Counting The Pigeonhole Principle Permutations and Combinations Binomial Coefficients and Identities Generalized Permutations and
More informationDiscrete Structures Lecture Permutations and Combinations
Introduction Good morning. Many counting problems can be solved by finding the number of ways to arrange a specified number of distinct elements of a set of a particular size, where the order of these
More informationTheory of Probability - Brett Bernstein
Theory of Probability - Brett Bernstein Lecture 3 Finishing Basic Probability Review Exercises 1. Model flipping two fair coins using a sample space and a probability measure. Compute the probability of
More informationNon-overlapping permutation patterns
PU. M. A. Vol. 22 (2011), No.2, pp. 99 105 Non-overlapping permutation patterns Miklós Bóna Department of Mathematics University of Florida 358 Little Hall, PO Box 118105 Gainesville, FL 326118105 (USA)
More informationCSE 312: Foundations of Computing II Quiz Section #2: Combinations, Counting Tricks (solutions)
CSE 312: Foundations of Computing II Quiz Section #2: Combinations, Counting Tricks (solutions Review: Main Theorems and Concepts Combinations (number of ways to choose k objects out of n distinct objects,
More informationCombinatorics in the group of parity alternating permutations
Combinatorics in the group of parity alternating permutations Shinji Tanimoto (tanimoto@cc.kochi-wu.ac.jp) arxiv:081.1839v1 [math.co] 10 Dec 008 Department of Mathematics, Kochi Joshi University, Kochi
More informationMC215: MATHEMATICAL REASONING AND DISCRETE STRUCTURES
MC215: MATHEMATICAL REASONING AND DISCRETE STRUCTURES Thursday, 4/17/14 The Addition Principle The Inclusion-Exclusion Principle The Pigeonhole Principle Reading: [J] 6.1, 6.8 [H] 3.5, 12.3 Exercises:
More informationSets. Definition A set is an unordered collection of objects called elements or members of the set.
Sets Definition A set is an unordered collection of objects called elements or members of the set. Sets Definition A set is an unordered collection of objects called elements or members of the set. Examples:
More informationHOMEWORK ASSIGNMENT 5
HOMEWORK ASSIGNMENT 5 MATH 251, WILLIAMS COLLEGE, FALL 2006 Abstract. These are the instructor s solutions. 1. Big Brother The social security number of a person is a sequence of nine digits that are not
More informationBlock 1 - Sets and Basic Combinatorics. Main Topics in Block 1:
Block 1 - Sets and Basic Combinatorics Main Topics in Block 1: A short revision of some set theory Sets and subsets. Venn diagrams to represent sets. Describing sets using rules of inclusion. Set operations.
More informationCS1802 Week 3: Counting Next Week : QUIZ 1 (30 min)
CS1802 Discrete Structures Recitation Fall 2018 September 25-26, 2018 CS1802 Week 3: Counting Next Week : QUIZ 1 (30 min) Permutations and Combinations i. Evaluate the following expressions. 1. P(10, 4)
More informationCPCS 222 Discrete Structures I Counting
King ABDUL AZIZ University Faculty Of Computing and Information Technology CPCS 222 Discrete Structures I Counting Dr. Eng. Farag Elnagahy farahelnagahy@hotmail.com Office Phone: 67967 The Basics of counting
More informationMathematical Foundations of Computer Science Lecture Outline August 30, 2018
Mathematical Foundations of omputer Science Lecture Outline ugust 30, 2018 ounting ounting is a part of combinatorics, an area of mathematics which is concerned with the arrangement of objects of a set
More informationCSCI FOUNDATIONS OF COMPUTER SCIENCE
1 CSCI- 2200 FOUNDATIONS OF COMPUTER SCIENCE Spring 2015 April 2, 2015 2 Announcements Homework 6 is due next Monday, April 6 at 10am in class. Homework 6 ClarificaMon In Problem 2C, where you need to
More informationProblem Set 8 Solutions R Y G R R G
6.04/18.06J Mathematics for Computer Science April 5, 005 Srini Devadas and Eric Lehman Problem Set 8 Solutions Due: Monday, April 11 at 9 PM in Room 3-044 Problem 1. An electronic toy displays a 4 4 grid
More information8.2 Union, Intersection, and Complement of Events; Odds
8.2 Union, Intersection, and Complement of Events; Odds Since we defined an event as a subset of a sample space it is natural to consider set operations like union, intersection or complement in the context
More informationWeek 1. 1 What Is Combinatorics?
1 What Is Combinatorics? Week 1 The question that what is combinatorics is similar to the question that what is mathematics. If we say that mathematics is about the study of numbers and figures, then combinatorics
More informationMath236 Discrete Maths with Applications
Math236 Discrete Maths with Applications P. Ittmann UKZN, Pietermaritzburg Semester 1, 2012 Ittmann (UKZN PMB) Math236 2012 1 / 43 The Multiplication Principle Theorem Let S be a set of k-tuples (s 1,
More informationCounting: Basics. Four main concepts this week 10/12/2016. Product rule Sum rule Inclusion-exclusion principle Pigeonhole principle
Counting: Basics Rosen, Chapter 5.1-2 Motivation: Counting is useful in CS Application domains such as, security, telecom How many password combinations does a hacker need to crack? How many telephone
More informationMath 365 Wednesday 2/20/19 Section 6.1: Basic counting
Math 365 Wednesday 2/20/19 Section 6.1: Basic counting Exercise 19. For each of the following, use some combination of the sum and product rules to find your answer. Give an un-simplified numerical answer
More informationOn uniquely k-determined permutations
On uniquely k-determined permutations Sergey Avgustinovich and Sergey Kitaev 16th March 2007 Abstract Motivated by a new point of view to study occurrences of consecutive patterns in permutations, we introduce
More information7.4 Permutations and Combinations
7.4 Permutations and Combinations The multiplication principle discussed in the preceding section can be used to develop two additional counting devices that are extremely useful in more complicated counting
More information1 Permutations. 1.1 Example 1. Lisa Yan CS 109 Combinatorics. Lecture Notes #2 June 27, 2018
Lisa Yan CS 09 Combinatorics Lecture Notes # June 7, 08 Handout by Chris Piech, with examples by Mehran Sahami As we mentioned last class, the principles of counting are core to probability. Counting is
More informationCSE101: Design and Analysis of Algorithms. Ragesh Jaiswal, CSE, UCSD
Course Overview Graph Algorithms Algorithm Design Techniques: Greedy Algorithms Divide and Conquer Dynamic Programming Network Flows Computational Intractability Main Ideas Main idea: Break the given
More informationMath 42, Discrete Mathematics
c Fall 2018 last updated 10/29/2018 at 18:22:13 For use by students in this class only; all rights reserved. Note: some prose & some tables are taken directly from Kenneth R. Rosen, and Its Applications,
More informationNovember 6, Chapter 8: Probability: The Mathematics of Chance
Chapter 8: Probability: The Mathematics of Chance November 6, 2013 Last Time Crystallographic notation Groups Crystallographic notation The first symbol is always a p, which indicates that the pattern
More informationCSCI 2200 Foundations of Computer Science (FoCS) Solutions for Homework 7
CSCI 00 Foundations of Computer Science (FoCS) Solutions for Homework 7 Homework Problems. [0 POINTS] Problem.4(e)-(f) [or F7 Problem.7(e)-(f)]: In each case, count. (e) The number of orders in which a
More informationLESSON 2: THE INCLUSION-EXCLUSION PRINCIPLE
LESSON 2: THE INCLUSION-EXCLUSION PRINCIPLE The inclusion-exclusion principle (also known as the sieve principle) is an extended version of the rule of the sum. It states that, for two (finite) sets, A
More informationWeek 3-4: Permutations and Combinations
Week 3-4: Permutations and Combinations February 20, 2017 1 Two Counting Principles Addition Principle. Let S 1, S 2,..., S m be disjoint subsets of a finite set S. If S = S 1 S 2 S m, then S = S 1 + S
More information17. Symmetries. Thus, the example above corresponds to the matrix: We shall now look at how permutations relate to trees.
7 Symmetries 7 Permutations A permutation of a set is a reordering of its elements Another way to look at it is as a function Φ that takes as its argument a set of natural numbers of the form {, 2,, n}
More informationCSE 312: Foundations of Computing II Quiz Section #2: Inclusion-Exclusion, Pigeonhole, Introduction to Probability (solutions)
CSE 31: Foundations of Computing II Quiz Section #: Inclusion-Exclusion, Pigeonhole, Introduction to Probability (solutions) Review: Main Theorems and Concepts Binomial Theorem: x, y R, n N: (x + y) n
More informationON SPLITTING UP PILES OF STONES
ON SPLITTING UP PILES OF STONES GREGORY IGUSA Abstract. In this paper, I describe the rules of a game, and give a complete description of when the game can be won, and when it cannot be won. The first
More informationLecture 18 - Counting
Lecture 18 - Counting 6.0 - April, 003 One of the most common mathematical problems in computer science is counting the number of elements in a set. This is often the core difficulty in determining a program
More informationStaircase Rook Polynomials and Cayley s Game of Mousetrap
Staircase Rook Polynomials and Cayley s Game of Mousetrap Michael Z. Spivey Department of Mathematics and Computer Science University of Puget Sound Tacoma, Washington 98416-1043 USA mspivey@ups.edu Phone:
More informationSolutions to Problem Set 7
Massachusetts Institute of Technology 6.4J/8.6J, Fall 5: Mathematics for Computer Science November 9 Prof. Albert R. Meyer and Prof. Ronitt Rubinfeld revised November 3, 5, 3 minutes Solutions to Problem
More informationGame Theory and Algorithms Lecture 19: Nim & Impartial Combinatorial Games
Game Theory and Algorithms Lecture 19: Nim & Impartial Combinatorial Games May 17, 2011 Summary: We give a winning strategy for the counter-taking game called Nim; surprisingly, it involves computations
More informationCSE 20 DISCRETE MATH. Fall
CSE 20 DISCRETE MATH Fall 2017 http://cseweb.ucsd.edu/classes/fa17/cse20-ab/ Today's learning goals Define and compute the cardinality of a set. Use functions to compare the sizes of sets. Classify sets
More informationAlgorithms. Abstract. We describe a simple construction of a family of permutations with a certain pseudo-random
Generating Pseudo-Random Permutations and Maimum Flow Algorithms Noga Alon IBM Almaden Research Center, 650 Harry Road, San Jose, CA 9510,USA and Sackler Faculty of Eact Sciences, Tel Aviv University,
More informationCardinality revisited
Cardinality revisited A set is finite (has finite cardinality) if its cardinality is some (finite) integer n. Two sets A,B have the same cardinality iff there is a one-to-one correspondence from A to B
More informationMATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG
MATH DISCRETE MATHEMATICS INSTRUCTOR: P. WENG Counting and Probability Suggested Problems Basic Counting Skills, Inclusion-Exclusion, and Complement. (a An office building contains 7 floors and has 7 offices
More information1111: Linear Algebra I
1111: Linear Algebra I Dr. Vladimir Dotsenko (Vlad) Lecture 7 Dr. Vladimir Dotsenko (Vlad) 1111: Linear Algebra I Lecture 7 1 / 8 Invertible matrices Theorem. 1. An elementary matrix is invertible. 2.
More informationMA 524 Midterm Solutions October 16, 2018
MA 524 Midterm Solutions October 16, 2018 1. (a) Let a n be the number of ordered tuples (a, b, c, d) of integers satisfying 0 a < b c < d n. Find a closed formula for a n, as well as its ordinary generating
More informationLECTURE 3: CONGRUENCES. 1. Basic properties of congruences We begin by introducing some definitions and elementary properties.
LECTURE 3: CONGRUENCES 1. Basic properties of congruences We begin by introducing some definitions and elementary properties. Definition 1.1. Suppose that a, b Z and m N. We say that a is congruent to
More informationIMOK Maclaurin Paper 2014
IMOK Maclaurin Paper 2014 1. What is the largest three-digit prime number whose digits, and are different prime numbers? We know that, and must be three of,, and. Let denote the largest of the three digits,
More informationPermutation Tableaux and the Dashed Permutation Pattern 32 1
Permutation Tableaux and the Dashed Permutation Pattern William Y.C. Chen, Lewis H. Liu, Center for Combinatorics, LPMC-TJKLC Nankai University, Tianjin 7, P.R. China chen@nankai.edu.cn, lewis@cfc.nankai.edu.cn
More informationChapter 1. Probability
Chapter 1. Probability 1.1 Basic Concepts Scientific method a. For a given problem, we define measures that explains the problem well. b. Data is collected with observation and the measures are calculated.
More informationMat 344F challenge set #2 Solutions
Mat 344F challenge set #2 Solutions. Put two balls into box, one ball into box 2 and three balls into box 3. The remaining 4 balls can now be distributed in any way among the three remaining boxes. This
More informationAlternating Permutations
Alternating Permutations p. Alternating Permutations Richard P. Stanley M.I.T. Alternating Permutations p. Basic definitions A sequence a 1, a 2,..., a k of distinct integers is alternating if a 1 > a
More informationCounting and Probability Math 2320
Counting and Probability Math 2320 For a finite set A, the number of elements of A is denoted by A. We have two important rules for counting. 1. Union rule: Let A and B be two finite sets. Then A B = A
More informationOn Range of Skill. Thomas Dueholm Hansen and Peter Bro Miltersen and Troels Bjerre Sørensen Department of Computer Science University of Aarhus
On Range of Skill Thomas Dueholm Hansen and Peter Bro Miltersen and Troels Bjerre Sørensen Department of Computer Science University of Aarhus Abstract At AAAI 07, Zinkevich, Bowling and Burch introduced
More informationHonors Precalculus Chapter 9 Summary Basic Combinatorics
Honors Precalculus Chapter 9 Summary Basic Combinatorics A. Factorial: n! means 0! = Why? B. Counting principle: 1. How many different ways can a license plate be formed a) if 7 letters are used and each
More information18.204: CHIP FIRING GAMES
18.204: CHIP FIRING GAMES ANNE KELLEY Abstract. Chip firing is a one-player game where piles start with an initial number of chips and any pile with at least two chips can send one chip to the piles on
More informationPrinciple of Inclusion-Exclusion Notes
Principle of Inclusion-Exclusion Notes The Principle of Inclusion-Exclusion (often abbreviated PIE is the following general formula used for finding the cardinality of a union of finite sets. Theorem 0.1.
More informationThree Pile Nim with Move Blocking. Arthur Holshouser. Harold Reiter.
Three Pile Nim with Move Blocking Arthur Holshouser 3600 Bullard St Charlotte, NC, USA Harold Reiter Department of Mathematics, University of North Carolina Charlotte, Charlotte, NC 28223, USA hbreiter@emailunccedu
More information1.6 Congruence Modulo m
1.6 Congruence Modulo m 47 5. Let a, b 2 N and p be a prime. Prove for all natural numbers n 1, if p n (ab) and p - a, then p n b. 6. In the proof of Theorem 1.5.6 it was stated that if n is a prime number
More informationMore Great Ideas in Theoretical Computer Science. Lecture 1: Sorting Pancakes
15-252 More Great Ideas in Theoretical Computer Science Lecture 1: Sorting Pancakes January 19th, 2018 Question If there are n pancakes in total (all in different sizes), what is the max number of flips
More informationEuropean Journal of Combinatorics. Staircase rook polynomials and Cayley s game of Mousetrap
European Journal of Combinatorics 30 (2009) 532 539 Contents lists available at ScienceDirect European Journal of Combinatorics journal homepage: www.elsevier.com/locate/ejc Staircase rook polynomials
More informationElementary Combinatorics
184 DISCRETE MATHEMATICAL STRUCTURES 7 Elementary Combinatorics 7.1 INTRODUCTION Combinatorics deals with counting and enumeration of specified objects, patterns or designs. Techniques of counting are
More informationMAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability. Preliminary Concepts, Formulas, and Terminology
MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability Preliminary Concepts, Formulas, and Terminology Meanings of Basic Arithmetic Operations in Mathematics Addition: Generally
More informationReading 14 : Counting
CS/Math 240: Introduction to Discrete Mathematics Fall 2015 Instructors: Beck Hasti, Gautam Prakriya Reading 14 : Counting In this reading we discuss counting. Often, we are interested in the cardinality
More informationPRIMES STEP Plays Games
PRIMES STEP Plays Games arxiv:1707.07201v1 [math.co] 22 Jul 2017 Pratik Alladi Neel Bhalla Tanya Khovanova Nathan Sheffield Eddie Song William Sun Andrew The Alan Wang Naor Wiesel Kevin Zhang Kevin Zhao
More informationSection Summary. Finite Probability Probabilities of Complements and Unions of Events Probabilistic Reasoning
Section 7.1 Section Summary Finite Probability Probabilities of Complements and Unions of Events Probabilistic Reasoning Probability of an Event Pierre-Simon Laplace (1749-1827) We first study Pierre-Simon
More informationMath 127: Equivalence Relations
Math 127: Equivalence Relations Mary Radcliffe 1 Equivalence Relations Relations can take many forms in mathematics. In these notes, we focus especially on equivalence relations, but there are many other
More informationN-Queens Problem. Latin Squares Duncan Prince, Tamara Gomez February
N-ueens Problem Latin Squares Duncan Prince, Tamara Gomez February 19 2015 Author: Duncan Prince The N-ueens Problem The N-ueens problem originates from a question relating to chess, The 8-ueens problem
More informationDVA325 Formal Languages, Automata and Models of Computation (FABER)
DVA325 Formal Languages, Automata and Models of Computation (FABER) Lecture 1 - Introduction School of Innovation, Design and Engineering Mälardalen University 11 November 2014 Abu Naser Masud FABER November
More informationProblem A. Vera and Outfits
Problem A. Vera and Outfits file: file: Vera owns N tops and N pants. The i-th top and i-th pants have colour i, for 1 i N, where all N colours are different from each other. An outfit consists of one
More informationDiscrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 11
EECS 70 Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 11 Counting As we saw in our discussion for uniform discrete probability, being able to count the number of elements of
More informationFast Sorting and Pattern-Avoiding Permutations
Fast Sorting and Pattern-Avoiding Permutations David Arthur Stanford University darthur@cs.stanford.edu Abstract We say a permutation π avoids a pattern σ if no length σ subsequence of π is ordered in
More informationCOUNTING AND PROBABILITY
CHAPTER 9 COUNTING AND PROBABILITY Copyright Cengage Learning. All rights reserved. SECTION 9.2 Possibility Trees and the Multiplication Rule Copyright Cengage Learning. All rights reserved. Possibility
More information"È$ß#È"ß$È#ß%È% This same mapping could also be represented in the form
Random Permutations A permutation of the objects "ß á ß defines a mapping. For example, the permutation 1 œ $ß "ß #ß % of the objects "ß #ß $ß % defines the mapping "È$ß#È"ß$È#ß%È% This same mapping could
More informationCSE101: Algorithm Design and Analysis. Ragesh Jaiswal, CSE, UCSD
Longest increasing subsequence Problem Longest increasing subsequence: You are given a sequence of integers A[1], A[2],..., A[n] and you are asked to find a longest increasing subsequence of integers.
More informationHarmonic numbers, Catalan s triangle and mesh patterns
Harmonic numbers, Catalan s triangle and mesh patterns arxiv:1209.6423v1 [math.co] 28 Sep 2012 Sergey Kitaev Department of Computer and Information Sciences University of Strathclyde Glasgow G1 1XH, United
More informationCSE 312: Foundations of Computing II Quiz Section #2: Inclusion-Exclusion, Pigeonhole, Introduction to Probability
CSE 312: Foundations of Computing II Quiz Section #2: Inclusion-Exclusion, Pigeonhole, Introduction to Probability Review: Main Theorems and Concepts Binomial Theorem: Principle of Inclusion-Exclusion
More informationPermutation Editing and Matching via Embeddings
Permutation Editing and Matching via Embeddings Graham Cormode, S. Muthukrishnan, Cenk Sahinalp (grahamc@dcs.warwick.ac.uk) Permutation Editing and Matching Why study permutations? Distances between permutations
More information