Partitions and Permutations
|
|
- Myrtle James
- 6 years ago
- Views:
Transcription
1 Chapter 5 Partitions and Permutations 5.1 Stirling Subset Numbers 5.2 Stirling Cycle Numbers 5.3 Inversions and Ascents 5.4 Derangements 5.5 Exponential Generating Functions 5.6 Posets and Lattices 1
2 2 Chapter 5 Partitions and Permutations
3 Section 5.1 Stirling Subset Numbers STIRLING SUBSET NUMBERS Non-Distinctness of Cells of a Partition
4 4 Chapter 5 Partitions and Permutations
5 Section 5.1 Stirling Subset Numbers 5
6 6 Chapter 5 Partitions and Permutations Every Cell of a Partition is Non-Empty
7 Section 5.1 Stirling Subset Numbers 7 Distinctness of Objects
8 8 Chapter 5 Partitions and Permutations The Type of a Partition
9 Section 5.1 Stirling Subset Numbers 9 Stirling s Subset Number Recurrence
10 10 Chapter 5 Partitions and Permutations Stirling s Triangle for Subset Numbers Table 5.1.1
11 Section 5.1 Stirling Subset Numbers 11 Rows Are Log-Concave Fig 5.1.1
12 12 Chapter 5 Partitions and Permutations
13 Section 5.1 Stirling Subset Numbers 13 Bell Numbers
14 14 Chapter 5 Partitions and Permutations
15 Section 5.1 Stirling Subset Numbers 15
16 16 Chapter 5 Partitions and Permutations Column-Sum Formulas
17 Section 5.1 Stirling Subset Numbers 17
18 18 Chapter 5 Partitions and Permutations
19 Section 5.1 Stirling Subset Numbers 19 Southeast Diagonal Sum
20 20 Chapter 5 Partitions and Permutations Stirling Numbers of the Second Kind
21 Section 5.1 Stirling Subset Numbers 21
22 22 Chapter 5 Partitions and Permutations
23 Section 5.1 Stirling Subset Numbers 23 Table 5.1.2
24 24 Chapter 5 Partitions and Permutations
25 Section 5.2 Stirling Cycle Numbers STIRLING CYCLE NUMBERS
26 26 Chapter 5 Partitions and Permutations
27 Section 5.2 Stirling Cycle Numbers 27 Non-Distinctness of the Cycles Stirling s Cycle Number Recurrence
28 28 Chapter 5 Partitions and Permutations Stirling s Triangle for Cycle Numbers
29 Section 5.2 Stirling Cycle Numbers 29 Table 5.2.1
30 30 Chapter 5 Partitions and Permutations
31 Section 5.2 Stirling Cycle Numbers 31 Rows are Log-Concave
32 32 Chapter 5 Partitions and Permutations
33 Section 5.2 Stirling Cycle Numbers 33 Fig Row Sums
34 34 Chapter 5 Partitions and Permutations
35 Section 5.2 Stirling Cycle Numbers 35
36 36 Chapter 5 Partitions and Permutations
37 Section 5.2 Stirling Cycle Numbers 37
38 38 Chapter 5 Partitions and Permutations
39 Section 5.2 Stirling Cycle Numbers 39 Columns
40 40 Chapter 5 Partitions and Permutations
41 Section 5.2 Stirling Cycle Numbers 41 Southeast Diagonal
42 42 Chapter 5 Partitions and Permutations Stirling Numbers of the First Kind
43 Section 5.2 Stirling Cycle Numbers 43
44 44 Chapter 5 Partitions and Permutations
45 Section 5.2 Stirling Cycle Numbers 45 Table 5.2.2
46 46 Chapter 5 Partitions and Permutations
47 Section 5.3 Inversions and Ascents INVERSIONS AND ASCENTS Inversions
48 48 Chapter 5 Partitions and Permutations
49 Section 5.3 Inversions and Ascents 49 Table 5.3.1
50 50 Chapter 5 Partitions and Permutations
51 Section 5.3 Inversions and Ascents 51
52 52 Chapter 5 Partitions and Permutations Ascents
53 Section 5.3 Inversions and Ascents 53 Eulerian Numbers
54 54 Chapter 5 Partitions and Permutations Table 5.3.2
55 Section 5.3 Inversions and Ascents 55
56 56 Chapter 5 Partitions and Permutations 5.4 DERANGEMENTS
57 Section 5.4 Derangements 57 Table 5.4.1
58 58 Chapter 5 Partitions and Permutations
59 Section 5.4 Derangements 59
60 60 Chapter 5 Partitions and Permutations 5.5 EXPONENTIAL GEN FUNCTIONS
61 Section 5.5 Exponential Gen Functions 61
62 62 Chapter 5 Partitions and Permutations
63 Section 5.5 Exponential Gen Functions 63 Counting Ordered Selections
64 64 Chapter 5 Partitions and Permutations
65 Section 5.5 Exponential Gen Functions 65
66 66 Chapter 5 Partitions and Permutations Counting Certain Kinds of Strings
67 Section 5.5 Exponential Gen Functions 67
68 68 Chapter 5 Partitions and Permutations
69 Section 5.5 Exponential Gen Functions 69
70 70 Chapter 5 Partitions and Permutations An Application To Stirling Subset #s
71 Section 5.5 Exponential Gen Functions 71
72 72 Chapter 5 Partitions and Permutations An EGF for Derangement Numbers
73 Section 5.5 Exponential Gen Functions 73
74 74 Chapter 5 Partitions and Permutations
75 Section 5.5 Exponential Gen Functions 75
76 76 Chapter 5 Partitions and Permutations 5.6 POSETS AND LATTICES
77 Section 5.6 Posets and Lattices 77 Products of Sets Cover Digraph
78 78 Chapter 5 Partitions and Permutations Fig The Boolean Poset
79 Section 5.6 Posets and Lattices 79 Fig The Divisibility Poset
80 80 Chapter 5 Partitions and Permutations Fig The Partition Poset
81 Section 5.6 Posets and Lattices 81 Fig 5.6.4
82 82 Chapter 5 Partitions and Permutations Inversion-Dominance Ordering on Perms
83 Section 5.6 Posets and Lattices 83 Fig 5.6.5
84 84 Chapter 5 Partitions and Permutations Minimal and Maximal Elements Fig 5.6.6
85 Section 5.6 Posets and Lattices 85 Lattice Property
86 86 Chapter 5 Partitions and Permutations
87 Section 5.6 Posets and Lattices 87 Fig 5.6.7
88 88 Chapter 5 Partitions and Permutations Fig Poset Isomorphism
89 Section 5.6 Posets and Lattices 89 Fig 5.6.9
90 90 Chapter 5 Partitions and Permutations Fig Chains and Antichains
91 Section 5.6 Posets and Lattices 91
92 92 Chapter 5 Partitions and Permutations
93 Section 5.6 Posets and Lattices 93 Fig
94 94 Chapter 5 Partitions and Permutations Ranked Posets
95 Section 5.6 Posets and Lattices 95 Fig
96 96 Chapter 5 Partitions and Permutations Linear Extensions
97 Section 5.6 Posets and Lattices 97 Algorithm 5.6.1:
98 98 Chapter 5 Partitions and Permutations Dilworth s Theorem
99 Section 5.6 Posets and Lattices 99
100 100 Chapter 5 Partitions and Permutations
101 Section 5.6 Posets and Lattices 101 Fig
102 102 Chapter 5 Partitions and Permutations
11 Chain and Antichain Partitions
November 14, 2017 11 Chain and Antichain Partitions William T. Trotter trotter@math.gatech.edu A Chain of Size 4 Definition A chain is a subset in which every pair is comparable. A Maximal Chain of Size
More informationChained Permutations. Dylan Heuer. North Dakota State University. July 26, 2018
Chained Permutations Dylan Heuer North Dakota State University July 26, 2018 Three person chessboard Three person chessboard Three person chessboard Three person chessboard - Rearranged Two new families
More informationBMT 2018 Combinatorics Test Solutions March 18, 2018
. Bob has 3 different fountain pens and different ink colors. How many ways can he fill his fountain pens with ink if he can only put one ink in each pen? Answer: 0 Solution: He has options to fill his
More informationJIGSAW ACTIVITY, TASK # Make sure your answer in written in the correct order. Highest powers of x should come first, down to the lowest powers.
JIGSAW ACTIVITY, TASK #1 Your job is to multiply and find all the terms in ( 1) Recall that this means ( + 1)( + 1)( + 1)( + 1) Start by multiplying: ( + 1)( + 1) x x x x. x. + 4 x x. Write your answer
More informationEnumeration of Two Particular Sets of Minimal Permutations
3 47 6 3 Journal of Integer Sequences, Vol. 8 (05), Article 5.0. Enumeration of Two Particular Sets of Minimal Permutations Stefano Bilotta, Elisabetta Grazzini, and Elisa Pergola Dipartimento di Matematica
More information5. (1-25 M) How many ways can 4 women and 4 men be seated around a circular table so that no two women are seated next to each other.
A.Miller M475 Fall 2010 Homewor problems are due in class one wee from the day assigned (which is in parentheses. Please do not hand in the problems early. 1. (1-20 W A boo shelf holds 5 different English
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 informationPattern Avoidance in Poset Permutations
Pattern Avoidance in Poset Permutations Sam Hopkins and Morgan Weiler Massachusetts Institute of Technology and University of California, Berkeley Permutation Patterns, Paris; July 5th, 2013 1 Definitions
More informationQuarter Turn Baxter Permutations
North Dakota State University June 26, 2017 Outline 1 2 Outline 1 2 What is a Baxter Permutation? Definition A Baxter permutation is a permutation that, when written in one-line notation, avoids the generalized
More informationChapter 6.1. Cycles in Permutations
Chapter 6.1. Cycles in Permutations Prof. Tesler Math 184A Fall 2017 Prof. Tesler Ch. 6.1. Cycles in Permutations Math 184A / Fall 2017 1 / 27 Notations for permutations Consider a permutation in 1-line
More informationSolutions to Exercises Chapter 6: Latin squares and SDRs
Solutions to Exercises Chapter 6: Latin squares and SDRs 1 Show that the number of n n Latin squares is 1, 2, 12, 576 for n = 1, 2, 3, 4 respectively. (b) Prove that, up to permutations of the rows, columns,
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 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 informationCrossings and patterns in signed permutations
Crossings and patterns in signed permutations Sylvie Corteel, Matthieu Josuat-Vergès, Jang-Soo Kim Université Paris-sud 11, Université Paris 7 Permutation Patterns 1/28 Introduction A crossing of a permutation
More informationStrings. A string is a list of symbols in a particular order.
Ihor Stasyuk Strings A string is a list of symbols in a particular order. Strings A string is a list of symbols in a particular order. Examples: 1 3 0 4 1-12 is a string of integers. X Q R A X P T is a
More informationCSE548, AMS542: Analysis of Algorithms, Fall 2016 Date: Sep 25. Homework #1. ( Due: Oct 10 ) Figure 1: The laser game.
CSE548, AMS542: Analysis of Algorithms, Fall 2016 Date: Sep 25 Homework #1 ( Due: Oct 10 ) Figure 1: The laser game. Task 1. [ 60 Points ] Laser Game Consider the following game played on an n n board,
More informationEvacuation and a Geometric Construction for Fibonacci Tableaux
Evacuation and a Geometric Construction for Fibonacci Tableaux Kendra Killpatrick Pepperdine University 24255 Pacific Coast Highway Malibu, CA 90263-4321 Kendra.Killpatrick@pepperdine.edu August 25, 2004
More informationSolution Algorithm to the Sam Loyd (n 2 1) Puzzle
Solution Algorithm to the Sam Loyd (n 2 1) Puzzle Kyle A. Bishop Dustin L. Madsen December 15, 2009 Introduction The Sam Loyd puzzle was a 4 4 grid invented in the 1870 s with numbers 0 through 15 on each
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 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 informationHeuristic Search with Pre-Computed Databases
Heuristic Search with Pre-Computed Databases Tsan-sheng Hsu tshsu@iis.sinica.edu.tw http://www.iis.sinica.edu.tw/~tshsu 1 Abstract Use pre-computed partial results to improve the efficiency of heuristic
More informationDiscrete Structures for Computer Science
Discrete Structures for Computer Science William Garrison bill@cs.pitt.edu 6311 Sennott Square Lecture #22: Generalized Permutations and Combinations Based on materials developed by Dr. Adam Lee Counting
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 informationClasses of permutations avoiding 231 or 321
Classes of permutations avoiding 231 or 321 Nik Ruškuc nik.ruskuc@st-andrews.ac.uk School of Mathematics and Statistics, University of St Andrews Dresden, 25 November 2015 Aim Introduce the area of pattern
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 informationBIJECTIONS FOR PERMUTATION TABLEAUX
BIJECTIONS FOR PERMUTATION TABLEAUX SYLVIE CORTEEL AND PHILIPPE NADEAU Authors affiliations: LRI, CNRS et Université Paris-Sud, 945 Orsay, France Corresponding author: Sylvie Corteel Sylvie. Corteel@lri.fr
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 informationWeighted Polya Theorem. Solitaire
Weighted Polya Theorem. Solitaire Sasha Patotski Cornell University ap744@cornell.edu December 15, 2015 Sasha Patotski (Cornell University) Weighted Polya Theorem. Solitaire December 15, 2015 1 / 15 Cosets
More informationCOMBINATORICS ON BIGRASSMANNIAN PERMUTATIONS AND ESSENTIAL SETS
COMBINATORICS ON BIGRASSMANNIAN PERMUTATIONS AND ESSENTIAL SETS MASATO KOBAYASHI Contents 1. Symmetric groups 2 Introduction 2 S n as a Coxeter group 3 Bigrassmannian permutations? 4 Bigrassmannian statistics
More informationChapter 2. Permutations and Combinations
2. Permutations and Combinations Chapter 2. Permutations and Combinations In this chapter, we define sets and count the objects in them. Example Let S be the set of students in this classroom today. Find
More informationON THE ENUMERATION OF MAGIC CUBES*
1934-1 ENUMERATION OF MAGIC CUBES 833 ON THE ENUMERATION OF MAGIC CUBES* BY D. N. LEHMER 1. Introduction. Assume the cube with one corner at the origin and the three edges at that corner as axes of reference.
More informationInversions on Permutations Avoiding Consecutive Patterns
Inversions on Permutations Avoiding Consecutive Patterns Naiomi Cameron* 1 Kendra Killpatrick 2 12th International Permutation Patterns Conference 1 Lewis & Clark College 2 Pepperdine University July 11,
More information28,800 Extremely Magic 5 5 Squares Arthur Holshouser. Harold Reiter.
28,800 Extremely Magic 5 5 Squares Arthur Holshouser 3600 Bullard St. Charlotte, NC, USA Harold Reiter Department of Mathematics, University of North Carolina Charlotte, Charlotte, NC 28223, USA hbreiter@uncc.edu
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 informationMultiple Choice Questions for Review
Review Questions Multiple Choice Questions for Review 1. Suppose there are 12 students, among whom are three students, M, B, C (a Math Major, a Biology Major, a Computer Science Major. We want to send
More informationPARTICIPANT Guide. Unit 2
PARTICIPANT Guide Unit 2 UNIT 02 participant Guide ACTIVITIES NOTE: At many points in the activities for Mathematics Illuminated, workshop participants will be asked to explain, either verbally or in
More informationMath 3012 Applied Combinatorics Lecture 2
August 20, 2015 Math 3012 Applied Combinatorics Lecture 2 William T. Trotter trotter@math.gatech.edu The Road Ahead Alert The next two to three lectures will be an integrated approach to material from
More informationarxiv: v2 [math.ho] 23 Aug 2018
Mathematics of a Sudo-Kurve arxiv:1808.06713v2 [math.ho] 23 Aug 2018 Tanya Khovanova Abstract Wayne Zhao We investigate a type of a Sudoku variant called Sudo-Kurve, which allows bent rows and columns,
More informationSimple Counting Problems
Appendix F Counting Principles F1 Appendix F Counting Principles What You Should Learn 1 Count the number of ways an event can occur. 2 Determine the number of ways two or three events can occur using
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 informationSolutions to Exercises on Page 86
Solutions to Exercises on Page 86 #. A number is a multiple of, 4, 5 and 6 if and only if it is a multiple of the greatest common multiple of, 4, 5 and 6. The greatest common multiple of, 4, 5 and 6 is
More informationStandard Sudoku point. 1 point. P a g e 1
P a g e 1 Standard 1-2 Place a digit from 1 to 6 in each empty cell so that each digit appears exactly once in each row, column and 2X box. 1 point A 6 2 6 2 1 5 1 point B 5 2 2 4 1 1 6 5 P a g e 2 Standard
More informationINFLUENCE OF ENTRIES IN CRITICAL SETS OF ROOM SQUARES
INFLUENCE OF ENTRIES IN CRITICAL SETS OF ROOM SQUARES Ghulam Chaudhry and Jennifer Seberry School of IT and Computer Science, The University of Wollongong, Wollongong, NSW 2522, AUSTRALIA We establish
More informationReview I. October 14, 2008
Review I October 14, 008 If you put n + 1 pigeons in n pigeonholes then at least one hole would have more than one pigeon. If n(r 1 + 1 objects are put into n boxes, then at least one of the boxes contains
More informationMA/CSSE 473 Day 14. Permutations wrap-up. Subset generation. (Horner s method) Permutations wrap up Generating subsets of a set
MA/CSSE 473 Day 14 Permutations wrap-up Subset generation (Horner s method) MA/CSSE 473 Day 14 Student questions Monday will begin with "ask questions about exam material time. Exam details are Day 16
More informationDomino Fibonacci Tableaux
Domino Fibonacci Tableaux Naiomi Cameron Department of Mathematical Sciences Lewis and Clark College ncameron@lclark.edu Kendra Killpatrick Department of Mathematics Pepperdine University Kendra.Killpatrick@pepperdine.edu
More informationcompleting Magic Squares
University of Liverpool Maths Club November 2014 completing Magic Squares Peter Giblin (pjgiblin@liv.ac.uk) 1 First, a 4x4 magic square to remind you what it is: 8 11 14 1 13 2 7 12 3 16 9 6 10 5 4 15
More informationFOURTH LECTURE : SEPTEMBER 18, 2014
FOURTH LECTURE : SEPTEMBER 18, 01 MIKE ZABROCKI I started off by listing the building block numbers that we have already seen and their combinatorial interpretations. S(n, k = the number of set partitions
More informationPermutations with short monotone subsequences
Permutations with short monotone subsequences Dan Romik Abstract We consider permutations of 1, 2,..., n 2 whose longest monotone subsequence is of length n and are therefore extremal for the Erdős-Szekeres
More informationPermutations. = f 1 f = I A
Permutations. 1. Definition (Permutation). A permutation of a set A is a bijective function f : A A. The set of all permutations of A is denoted by Perm(A). 2. If A has cardinality n, then Perm(A) has
More informationA Coloring Problem. Ira M. Gessel 1 Department of Mathematics Brandeis University Waltham, MA Revised May 4, 1989
A Coloring Problem Ira M. Gessel Department of Mathematics Brandeis University Waltham, MA 02254 Revised May 4, 989 Introduction. Awell-known algorithm for coloring the vertices of a graph is the greedy
More informationIntroductory Probability
Introductory Probability Combinations Nicholas Nguyen nicholas.nguyen@uky.edu Department of Mathematics UK Agenda Assigning Objects to Identical Positions Denitions Committee Card Hands Coin Toss Counts
More informationPermutations. describes the permutation which sends 1! 2, 2! 1, 3! 3.
Math 103A Winter,2001 Professor John J Wavrik Permutations A permutation of {1,, n } is a 1-1, onto mapping of the set to itself. Most books initially use a bulky notation to describe a permutation: The
More informationFinite homomorphism-homogeneous permutations via edge colourings of chains
Finite homomorphism-homogeneous permutations via edge colourings of chains Igor Dolinka dockie@dmi.uns.ac.rs Department of Mathematics and Informatics, University of Novi Sad First of all there is Blue.
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 informationA C E. Answers Investigation 4. Applications. Dimensions of 39 Square Unit Rectangles and Partitions. Small Medium Large
Answers Applications 1. An even number minus an even number will be even. Students may use examples, tiles, the idea of groups of two, or the inverse relationship between addition and subtraction. Using
More informationThe Symmetric Traveling Salesman Problem by Howard Kleiman
I. INTRODUCTION The Symmetric Traveling Salesman Problem by Howard Kleiman Let M be an nxn symmetric cost matrix where n is even. We present an algorithm that extends the concept of admissible permutation
More informationCSE 1400 Applied Discrete Mathematics Permutations
CSE 1400 Applied Discrete Mathematics Department of Computer Sciences College of Engineering Florida Tech Fall 2011 1 Cyclic Notation 2 Re-Order a Sequence 2 Stirling Numbers of the First Kind 2 Problems
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 informationPATTERN AVOIDANCE IN PERMUTATIONS ON THE BOOLEAN LATTICE
PATTERN AVOIDANCE IN PERMUTATIONS ON THE BOOLEAN LATTICE SAM HOPKINS AND MORGAN WEILER Abstract. We extend the concept of pattern avoidance in permutations on a totally ordered set to pattern avoidance
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 informationMathematics Competition Practice Session 6. Hagerstown Community College: STEM Club November 20, :00 pm - 1:00 pm STC-170
2015-2016 Mathematics Competition Practice Session 6 Hagerstown Community College: STEM Club November 20, 2015 12:00 pm - 1:00 pm STC-170 1 Warm-Up (2006 AMC 10B No. 17): Bob and Alice each have a bag
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 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 informationon the distribution of non-attacking bishops on a chessboard c
Revista de Matemática: Teoría y Aplicaciones 2001 8(1 : 47 62 cimpa ucr ccss issn: 1409-2433 on the distribution of non-attacking bishops on a chessboard c Shanaz Ansari Wahid Received: 24 September 1999
More informationCSE 21 Mathematics for Algorithm and System Analysis
CSE 21 Mathematics for Algorithm and System Analysis Unit 1: Basic Count and List Section 3: Set CSE21: Lecture 3 1 Reminder Piazza forum address: http://piazza.com/ucsd/summer2013/cse21/hom e Notes on
More informationSolutions to the 2004 CMO written March 31, 2004
Solutions to the 004 CMO written March 31, 004 1. Find all ordered triples (x, y, z) of real numbers which satisfy the following system of equations: xy = z x y xz = y x z yz = x y z Solution 1 Subtracting
More informationSudoku an alternative history
Sudoku an alternative history Peter J. Cameron p.j.cameron@qmul.ac.uk Talk to the Archimedeans, February 2007 Sudoku There s no mathematics involved. Use logic and reasoning to solve the puzzle. Instructions
More informationLecture 2. 1 Nondeterministic Communication Complexity
Communication Complexity 16:198:671 1/26/10 Lecture 2 Lecturer: Troy Lee Scribe: Luke Friedman 1 Nondeterministic Communication Complexity 1.1 Review D(f): The minimum over all deterministic protocols
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 informationA GEOMETRIC LITTLEWOOD-RICHARDSON RULE
A GEOMETRIC LITTLEWOOD-RICHARDSON RULE RAVI VAKIL ABSTRACT. We describe an explicit geometric Littlewood-Richardson rule, interpreted as deforming the intersection of two Schubert varieties so that they
More informationCounting Things Solutions
Counting Things Solutions Tom Davis tomrdavis@earthlink.net http://www.geometer.org/mathcircles March 7, 006 Abstract These are solutions to the Miscellaneous Problems in the Counting Things article at:
More informationThe Art of Counting. Bijections, Double Counting. Peng Shi. September 16, Department of Mathematics Duke University
The Art of Counting Bijections, Double Counting Peng Shi Department of Mathematics Duke University September 16, 2009 What we focus on in this talk? Enumerative combinatorics is a huge branch of mathematics,
More informationRESTRICTED PERMUTATIONS AND POLYGONS. Ghassan Firro and Toufik Mansour Department of Mathematics, University of Haifa, Haifa, Israel
RESTRICTED PERMUTATIONS AND POLYGONS Ghassan Firro and Toufik Mansour Department of Mathematics, University of Haifa, 905 Haifa, Israel {gferro,toufik}@mathhaifaacil abstract Several authors have examined
More informationAutomatic Generation of Constraints for Partial Symmetry Breaking
Automatic Generation of Constraints for Partial Symmetry Breaking Karen Petrie and Christopher Jefferson Overview How to break symmetries. How to find symmetries. How to choose which symmetries to break.
More informationCOS433/Math 473: Cryptography. Mark Zhandry Princeton University Spring 2017
COS433/Math 473: Cryptography Mark Zhandry Princeton University Spring 2017 Previously Pseudorandom Functions and Permutaitons Modes of Operation Pseudorandom Functions Functions that look like random
More informationMA/CSSE 473 Day 13. Student Questions. Permutation Generation. HW 6 due Monday, HW 7 next Thursday, Tuesday s exam. Permutation generation
MA/CSSE 473 Day 13 Permutation Generation MA/CSSE 473 Day 13 HW 6 due Monday, HW 7 next Thursday, Student Questions Tuesday s exam Permutation generation 1 Exam 1 If you want additional practice problems
More informationCMPS 12A Introduction to Programming Programming Assignment 5 In this assignment you will write a Java program that finds all solutions to the n-queens problem, for. Begin by reading the Wikipedia article
More informationPermutation Generation Method on Evaluating Determinant of Matrices
Article International Journal of Modern Mathematical Sciences, 2013, 7(1): 12-25 International Journal of Modern Mathematical Sciences Journal homepage:www.modernscientificpress.com/journals/ijmms.aspx
More informationVariations of Rank Modulation for Flash Memories
Variations of Rank Modulation for Flash Memories Zhiying Wang Joint work with Anxiao(Andrew) Jiang Jehoshua Bruck Flash Memory Control Gate Floating Gate Source Drain Substrate Block erasure X Flash Memory
More informationAlgebra. Recap: Elements of Set Theory.
January 14, 2018 Arrangements and Derangements. Algebra. Recap: Elements of Set Theory. Arrangements of a subset of distinct objects chosen from a set of distinct objects are permutations [order matters]
More informationProbability of Derangements
Probability of Derangements Brian Parsonnet Revised Feb 21, 2011 bparsonnet@comcast.net Ft Collins, CO 80524 Brian Parsonnet Page 1 Table of Contents Introduction... 3 A136300... 7 Formula... 8 Point 1:
More informationFrom permutations to graphs
From permutations to graphs well-quasi-ordering and infinite antichains Robert Brignall Joint work with Atminas, Korpelainen, Lozin and Vatter 28th November 2014 Orderings on Structures Pick your favourite
More informationGLOSSARY. a * (b * c) = (a * b) * c. A property of operations. An operation * is called associative if:
Associativity A property of operations. An operation * is called associative if: a * (b * c) = (a * b) * c for every possible a, b, and c. Axiom For Greek geometry, an axiom was a 'self-evident truth'.
More informationChapter 7. Intro to Counting
Chapter 7. Intro to Counting 7.7 Counting by complement 7.8 Permutations with repetitions 7.9 Counting multisets 7.10 Assignment problems: Balls in bins 7.11 Inclusion-exclusion principle 7.12 Counting
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 informationCONTENTS GRAPH THEORY
CONTENTS i GRAPH THEORY GRAPH THEORY By Udit Agarwal M.Sc. (Maths), M.C.A. Sr. Lecturer, Rakshpal Bahadur Management Institute, Bareilly Umeshpal Singh (MCA) Director, Rotary Institute of Management and
More informationYet Another Triangle for the Genocchi Numbers
Europ. J. Combinatorics (2000) 21, 593 600 Article No. 10.1006/eujc.1999.0370 Available online at http://www.idealibrary.com on Yet Another Triangle for the Genocchi Numbers RICHARD EHRENBORG AND EINAR
More informationSymmetric-key encryption scheme based on the strong generating sets of permutation groups
Symmetric-key encryption scheme based on the strong generating sets of permutation groups Ara Alexanyan Faculty of Informatics and Applied Mathematics Yerevan State University Yerevan, Armenia Hakob Aslanyan
More informationUNIVERSITY OF NORTHERN COLORADO MATHEMATICS CONTEST
UNIVERSITY OF NORTHERN COLORADO MATHEMATICS CONTEST First Round For all Colorado Students Grades 7-12 October 31, 2009 You have 90 minutes no calculators allowed The average of n numbers is their sum divided
More informationPROOFS OF SOME BINOMIAL IDENTITIES USING THE METHOD OF LAST SQUARES
PROOFS OF SOME BINOMIAL IDENTITIES USING THE METHOD OF LAST SQUARES MARK SHATTUCK AND TAMÁS WALDHAUSER Abstract. We give combinatorial proofs for some identities involving binomial sums that have no closed
More informationBinary, Permutation, Communication and Dominance Matrices
Binary, Permutation, ommunication and Dominance Matrices Binary Matrices A binary matrix is a special type of matrix that has only ones and zeros as elements. Some examples of binary matrices; Permutation
More informationQuotients of the Malvenuto-Reutenauer algebra and permutation enumeration
Quotients of the Malvenuto-Reutenauer algebra and permutation enumeration Ira M. Gessel Department of Mathematics Brandeis University Sapienza Università di Roma July 10, 2013 Exponential generating functions
More informationSection 7.2 Logarithmic Functions
Math 150 c Lynch 1 of 6 Section 7.2 Logarithmic Functions Definition. Let a be any positive number not equal to 1. The logarithm of x to the base a is y if and only if a y = x. The number y is denoted
More informationCSE 21: Midterm 1 Solution
CSE 21: Midterm 1 Solution August 16, 2007 No books, no calculators. Two double-sided 3x5 cards with handwritten notes allowed. Before starting the test, please write your test number on the top-right
More informationp 1 MAX(a,b) + MIN(a,b) = a+b n m means that m is a an integer multiple of n. Greatest Common Divisor: We say that n divides m.
Great Theoretical Ideas In Computer Science Steven Rudich CS - Spring Lecture Feb, Carnegie Mellon University Modular Arithmetic and the RSA Cryptosystem p- p MAX(a,b) + MIN(a,b) = a+b n m means that m
More informationSome Cryptanalysis of the Block Cipher BCMPQ
Some Cryptanalysis of the Block Cipher BCMPQ V. Dimitrova, M. Kostadinoski, Z. Trajcheska, M. Petkovska and D. Buhov Faculty of Computer Science and Engineering Ss. Cyril and Methodius University, Skopje,
More informationChapter 1. The alternating groups. 1.1 Introduction. 1.2 Permutations
Chapter 1 The alternating groups 1.1 Introduction The most familiar of the finite (non-abelian) simple groups are the alternating groups A n, which are subgroups of index 2 in the symmetric groups S n.
More informationDepartment of Electrical Engineering, University of Leuven, Kasteelpark Arenberg 10, 3001 Leuven-Heverlee, Belgium
Permutation Numbers Vincenzo De Florio Department of Electrical Engineering, University of Leuven, Kasteelpark Arenberg 10, 3001 Leuven-Heverlee, Belgium This paper investigates some series of integers
More informationDistribution of Aces Among Dealt Hands
Distribution of Aces Among Dealt Hands Brian Alspach 3 March 05 Abstract We provide details of the computations for the distribution of aces among nine and ten hold em hands. There are 4 aces and non-aces
More information