CS2013: Relations and Functions
|
|
- Suzanna Lawson
- 5 years ago
- Views:
Transcription
1 CS2013: Relations and Functions 20/09/16 Kees van Deemter 1
2 Relations and Functions Some background for CS2013 Necessary for understanding the difference between Deterministic FSAs (DFSAs) and NonDeterministic FSAs (NDFSAs) 20/09/16 Kees van Deemter 2
3 If what follows is new or puzzling then read K.H.Rosen, Discrete Mathematics and Its Applications, the Chapters on sets, functions, and relations (Chapters 2 and 9 in the 7 th edition). Free copies in pdf can be found on the web Rosen_Discrete_Mathematics_and_Its_Applications_7th_Edition.pdf 20/09/16 Kees van Deemter 3
4 Relations and Functions Simple mathematical constructs Based on elementary set theory Can be used to model many things including the set of edges in a given FSA 20/09/16 Kees van Deemter 4
5 Cartesian product The Cartesian product of n sets A 1 x A 2 x x A n First n=2 (a 2-place relation) A x B = The Cartesian product of A and B = {(x,y): x A and y B}. Example: A= set of all students (e.g., John, Mary), B=set of all CAS marks (e.g., 1-20) 20/09/16 Kees van Deemter 5
6 Student x CAS = {(John,1),(John,2), (John, 20),(Mary,1),,(Mary,20)} A 1 x A 2 x x A n = {(x 1,x 2,,x n ): x 1 A and x 2 A and and x n A} 20/09/16 Kees van Deemter 6
7 Binary Relations Let A, B be sets. A binary relation R from A to B is a subset of A B. Analogous for n-ary relations E.g., < can be seen as {(n,m) n < m} (a,b) R means that a is related to b (by R) Also written as arb; also R(a,b) Can be used to model real-life facts. E.g., Scored = {(x Student,y CAS): x scored y in last years s CS2013 exam} 20/09/16 Kees van Deemter 7
8 Binary Relations Aside: This way of modelling relations using sets suggests some natural questions and operations, e.g., 20/09/16 Kees van Deemter 8
9 Inverse Relations Any binary relation R:A B has an inverse relation R 1 :B A, defined by R 1 : {(b,a) (a,b) R}. E.g., < 1 = {(b,a) a<b} = {(b,a) b>a} = > 20/09/16 Kees van Deemter 9
10 Reflexivity and relatives A relation R on A is reflexive iff a A(aRa). E.g., the relation : {(a,b) a b} is reflexive. R is irreflexive iff a A( ara) Note irreflexive does NOT mean not reflexive, which is just a A(aRa). E.g., if Adore={(j,m),(b,m),(m,b)(j,j)} then this relation is neither reflexive nor irreflexive 20/09/16 Kees van Deemter 10
11 Some examples Reflexive: =, have same cardinality, <=, >=,,, etc. 20/09/16 Kees van Deemter 11
12 Symmetry & relatives A binary relation R on A is symmetric iff a,b((a,b) R (b,a) R). E.g., = (equality) is symmetric. < is not. is married to is symmetric, likes is not. A binary relation R is asymmetric if a,b((a,b) R (b,a) R). Examples: < is asymmetric, Adores is not. Let R={(j,m),(b,m),(j,j)}. Is R (a)symmetric? 20/09/16 Kees van Deemter 12
13 Symmetry & relatives Let R={(j,m),(b,m),(j,j)}. R is not symmetric (because it does not contain (m,b) and because it does not contain (m,j)). R is not asymmetric, due to (j,j) 20/09/16 Kees van Deemter 13
14 Antisymmetry Consider the relation x y Is it symmetrical? Is it asymmetrical? Is it reflexive? Is it irreflexive? 20/09/16 Kees van Deemter 14
15 Antisymmetry Consider the relation x y Is it symmetrical? No Is it asymmetrical? Is it reflexive? Is it irreflexive? 20/09/16 Kees van Deemter 15
16 Antisymmetry Consider the relation x y Is it symmetrical? No Is it asymmetrical? No Is it reflexive? Is it irreflexive? 20/09/16 Kees van Deemter 16
17 Antisymmetry Consider the relation x y Is it symmetrical? No Is it asymmetrical? No Is it reflexive? Yes Is it irreflexive? 20/09/16 Kees van Deemter 17
18 Antisymmetry Consider the relation x y Is it symmetrical? No Is it asymmetrical? No Is it reflexive? Yes Is it irreflexive? No 20/09/16 Kees van Deemter 18
19 Antisymmetry Consider the relation x y It is not symmetric. (For instance, 5 6 but not 6 5) It is not asymmetric. (For instance, 5 5) The pattern: the only times when (a,b) and (b,a) are when a=b This is called antisymmetry 20/09/16 Kees van Deemter 19
20 Antisymmetry A binary relation R on A is antisymmetric iff a,b((a,b) R (b,a) R) a=b). Examples:,, Another example: the earlier-defined relation Adore={(j,m),(b,m),(j,j)} 20/09/16 Kees van Deemter 20
21 Transitivity & relatives A relation R is transitive iff (for all a,b,c) ((a,b) R (b,c) R) (a,c) R. A relation is nontransitive iff it is not transitive. A relation R is intransitive iff (for all a,b,c) ((a,b) R (b,c) R) (a,c) R. 20/09/16 Kees van Deemter 21
22 Transitivity & relatives What about these examples: x is an ancestor of y x likes y x is located within 1 mile of y x +1 =y x beat y in the tournament 20/09/16 Kees van Deemter 22
23 Transitivity & relatives What about these examples: is an ancestor of is transitive. likes is neither trans nor intrans. is located within 1 mile of is neither trans nor intrans x +1 =y is intransitive x beat y in the tournament is neither trans nor intrans 20/09/16 Kees van Deemter 23
24 End of aside 20/09/16 Kees van Deemter 24
25 Totality: the difference between relations and functions A relation R:A B is total if for every a A, there is at least one b B such that (a,b) R. N.B., it does not follow that R 1 is total It does not follow that R is functional (see over). 20/09/16 Kees van Deemter 25
26 Functionality Functionality: A relation R: A B is functional iff, for every a A, there is at most one b B such that (a,b) R. A functional relation R: A B does not have to be total (there may be a A such that b B (arb)). 20/09/16 Kees van Deemter 26
27 Functionality R: A B is functional iff, for every a A, there is at most one b B such that (a,b) R. a A: b 1, b 2 B (b 1 b 2 arb 1 arb 2 ). If R is a functional and total relation, then R can be seen as a function R: A B Hence one can write R(a)=b as well as arb, R(a,b), and (a,b) R. Each of these mean the same. 20/09/16 Kees van Deemter 27
28 Examples Consider the relation Scored again: A relation between Student and CAS Is it a total relation? Is it a functional relation? 20/09/16 Kees van Deemter 28
29 Functionality for 3-place relations Consider a 3-place relation R R is a subset of A 1 x A 2 x A 3, (for some A 1, A 2, A 3 ) R is functional in its first two arguments if for all x A 1 and y A 2, there exists at most one z A 3 such that (x,y,z) R. This is easy to generalise to n arguments 20/09/16 Kees van Deemter 29
30 Examples Suppose you model addition of natural numbers as a 3-place relation (0,0,0),(0,1,1), (1,0,1), (1,1,2), This relation is functional in its first two arguments. 20/09/16 Kees van Deemter 30
31 Examples Let Scored be a subset of Student x CAS x PASS, namely {(student,casmark,yes/no): student scored casmark and passed yes/no} Is the relation Scored functional in its first two arguments? 20/09/16 Kees van Deemter 31
32 Examples Let Scored be a subset of Student x CAS x PASS, namely {(student,casmark,yes/no): student scored casmark and passed yes/no} Is the relation Scored functional in its first two arguments? Yes: given (a student and) a CAS mark, you cannot have both pass-yes and pass-no 20/09/16 Kees van Deemter 32
Spring Based on Partee, ter Meulen, & Wall (1993), Mathematical Methods in Linguistics
1 / 17 L545 Spring 2013 Based on Partee, ter Meulen, & Wall (1993), Mathematical Methods in Linguistics 2 / 17 Why set theory? Set theory sets the foundation for much of mathematics For us: provides precise
More informationToday s topics. Binary Relations. Inverse Relations. Complementary Relations. Let R:A,B be any binary relation.
Today s topics Binary Relations Relations Kinds of relations n-ary relations Representations of relations Reading: Sections 7.-7.3 Upcoming Upcoming Minesweeper Let A, B be any sets. A binary relation
More informationToday. Binary relations establish a relationship between elements of two sets
Today Relations Binary relations and properties Relationship to functions n-ary relations Definitions Binary relations establish a relationship between elements of two sets Definition: Let A and B be two
More informationDiscrete Mathematics. 2. Relations
Discrete Mathematics 2. Relations Binary Relations Let A, B be any two sets. A binary relation R from A to B is a subset of A B. E.g., Let < : N N : {(n,m) n < m} The notation a R b or arb means (a,b)îr.
More informationSection Summary. Relations and Functions Properties of Relations. Combining Relations
Chapter 9 Chapter Summary Relations and Their Properties n-ary Relations and Their Applications (not currently included in overheads) Representing Relations Closures of Relations (not currently included
More informationRelations, Functions, Binary Relations (Chapter 1, Sections 1.2, 1.3)
Relations, Functions, Binary Relations (Chapter 1, Sections 1.2, 1.3) CmSc 365 Theory of Computation 1. Relations Definition: Let A and B be two sets. A relation R from A to B is any set of ordered pairs
More informationRelationships between elements of sets occur in many contexts. Every day we deal with
C H A P T E R 9 Relations 9.1 Relations and Their Properties 9.2 n-ary Relations and Their Applications 9.3 Representing Relations 9.4 Closures of Relations 9.5 Equivalence Relations 9.6 Partial Orderings
More informationRelations 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 informationCOMP232 - Mathematics for Computer Science
COMP232 - Mathematics for Computer Science Tutorial 11 Ali Moallemi moa ali@encs.concordia.ca Iraj Hedayati h iraj@encs.concordia.ca Concordia University, Fall 2015 Ali Moallemi, Iraj Hedayati COMP232
More informationAutomata and Languages
Automata and Languages Prof. Mohamed Hamada Software Engineering Lab. The University of Aizu Japan Mathematical Background Mathematical Background Sets Relations Functions Graphs Proof techniques Sets
More informationRelations Graphical View
Introduction Relations Computer Science & Engineering 235: Discrete Mathematics Christopher M. Bourke cbourke@cse.unl.edu Recall that a relation between elements of two sets is a subset of their Cartesian
More informationRelations. Relations of Sets N-ary Relations Relational Databases Binary Relation Properties Equivalence Relations. Reading (Epp s textbook)
Relations Relations of Sets N-ary Relations Relational Databases Binary Relation Properties Equivalence Relations Reading (Epp s textbook) 8.-8.3. Cartesian Products The symbol (a, b) denotes the ordered
More informationDefinition: A binary relation R from a set A to a set B is a subset R A B. Example:
Chapter 9 1 Binary Relations Definition: A binary relation R from a set A to a set B is a subset R A B. Example: Let A = {0,1,2} and B = {a,b} {(0, a), (0, b), (1,a), (2, b)} is a relation from A to B.
More informationCSC Discrete Math I, Spring Relations
CSC 125 - Discrete Math I, Spring 2017 Relations Binary Relations Definition: A binary relation R from a set A to a set B is a subset of A B Note that a relation is more general than a function Example:
More informationNotes. Relations. Introduction. Notes. Relations. Notes. Definition. Example. Slides by Christopher M. Bourke Instructor: Berthe Y.
Relations Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Spring 2006 Computer Science & Engineering 235 Introduction to Discrete Mathematics Sections 7.1, 7.3 7.5 of Rosen cse235@cse.unl.edu
More informationWhat are relations? f: A B
What are relations? Ch 9.1 What are relations? Notation Informally, a relation is a set of pairs of objects (or in general, set of n-tuples) that are related to each other by some rule. We will focus first
More informationFall Inverse of a matrix. Institute: UC San Diego. Authors: Alexander Knop
Fall 2017 Inverse of a matrix Authors: Alexander Knop Institute: UC San Diego Row-Column Rule If the product AB is defined, then the entry in row i and column j of AB is the sum of the products of corresponding
More informationRelations. Definition 1 Let A and B be sets. A binary relation R from A to B is any subset of A B.
Chapter 5 Relations Definition 1 Let A and B be sets. A binary relation R from A to B is any subset of A B. If A = B then a relation from A to B is called is called a relation on A. Examples A relation
More informationDefinition: A binary relation R from a set A to a set B is a subset R A B. Example:
Section 9.1 Rela%onships Relationships between elements of sets occur in many contexts. Every day we deal with relationships such as those between a business and its telephone number, an employee and his
More informationRelations --- Binary Relations. Debdeep Mukhopadhyay IIT Madras
Relations --- Binary Relations Debdeep Mukhopadhyay IIT Madras What is a relation? The mathematical concept of relation is based on the common notion of relationships among objects: One box is heavier
More informationDiscrete Mathematics. Chapter 4. Relations and Digraphs Sanguk Noh
Discrete Mathematics Chapter 4. Relations and Digraphs Sanguk Noh Table Product sets and partitions Relations and digraphs Paths in relations and digraphs Properties of relations Equivalence relations
More informationCOMP 182 Algorithmic Thinking. Relations. Luay Nakhleh Computer Science Rice University
COMP 182 Algorithmic Thinking Relations Luay Nakhleh Computer Science Rice University Chapter 9, Section 1-6 Reading Material When we defined the Sorting Problem, we stated that to sort the list, the elements
More informationMathematics for linguists
1/17 Mathematics for linguists Gerhard Jäger gerhard.jaeger@uni-tuebingen.de Uni Tübingen, WS 2009/2010 November 3, 2009 2/17 Composition of relations and functions let R A B and S B C be relations new
More informationMath 2534 Solution to Test 3A Spring 2010
Math 2534 Solution to Test 3A Spring 2010 Problem 1: (10pts) Prove that R is a transitive relation on Z when given that mrpiff m pmod d (ie. d ( m p) ) Solution: The relation R is transitive, if arb and
More informationcse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska
cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska LECTURE 1 Course Web Page www3.cs.stonybrook.edu/ cse303 The webpage contains: lectures notes slides; very detailed solutions to
More informationcse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska
cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska LECTURE 6a REVIEW for Q2 Q2 covers Lecture 5 and Lecture 6 Chapter 2 - Deterministic Finite Automata DFA Chapter 2 - Nondeterministic
More informationBinary Relation Review Questions
CSE 191 Discrete Structures Fall 2016 Recursive sets Binary Relation Review Questions 1. For each of the relations below, answer the following three questions: Is the relation reflexive? Is the relation
More information1.A Sets, Relations, Graphs, and Functions 1.A.1 Set a collection of objects(element) Let A be a set and a be an elements in A, then we write a A.
1.A Sets, Relations, Graphs, and Functions 1.A.1 Set a collection of objects(element) Let A be a set and a be an elements in A, then we write a A. How to specify sets 1. to enumerate all of the elements
More informationAxioms of Kleene Algebra
Introduction to Kleene Algebra Lecture 2 CS786 Spring 2004 January 28, 2004 Axioms of Kleene Algebra In this lecture we give the formal definition of a Kleene algebra and derive some basic consequences.
More informationRELATIONS AND FUNCTIONS
For more important questions visit : www.4ono.com CHAPTER 1 RELATIONS AND FUNCTIONS IMPORTANT POINTS TO REMEMBER Relation R from a set A to a set B is subset of A B. A B = {(a, b) : a A, b B}. If n(a)
More informationLECTURE 15: RELATIONS. Software Engineering Mike Wooldridge
LECTURE 15: RELATIONS Mike Wooldridge 1 Introduction We saw in earlier lectures that a function is just a set of maplets, for example: tel == {mikew 1531, eric 1489}. A maplet is just an ordered pair,
More informationReading 11 : Relations and Functions
CS/Math 240: Introduction to Discrete Mathematics Fall 2015 Reading 11 : Relations and Functions Instructor: Beck Hasti and Gautam Prakriya In reading 3, we described a correspondence between predicates
More informationSolutions to In Class Problems Week 4, Mon.
Massachusetts Institute of Technology 6.042J/18.062J, Fall 05: Mathematics for Computer Science September 26 Prof. Albert R. Meyer and Prof. Ronitt Rubinfeld revised September 26, 2005, 1050 minutes Solutions
More informationQUASI-PREFERENCE: CHOICE ON PARTIALLY ORDERED SETS. Contents
QUASI-PREFERENCE: CHOICE ON PARTIALLY ORDERED SETS ZEFENG CHEN Abstract. A preference relation is a total order on a finite set and a quasipreference relation is a partial order. This paper first introduces
More informationWriting Assignment 2 Student Sample Questions
Writing Assignment 2 Student Sample Questions 1. Let P and Q be statements. Then the statement (P = Q) ( P Q) is a tautology. 2. The statement If the sun rises from the west, then I ll get out of the bed.
More informationEQUIVALENCE RELATIONS (NOTES FOR STUDENTS) 1. RELATIONS
EQUIVALENCE RELATIONS (NOTES FOR STUDENTS) LIOR SILBERMAN Version 1.0 compiled September 9, 2015. 1.1. List of examples. 1. RELATIONS Equality of real numbers: for some x,y R we have x = y. For other pairs
More informationCHAPTER 1. Relations. 1. Relations and Their Properties. Discussion
CHAPTER 1 Relations 1. Relations and Their Properties 1.1. Definition of a Relation. Definition 1.1.1. A binary relation from a set A to a set B is a subset R A B. If (a, b) R we say a is Related to b
More informationChapter 6. Relations. 6.1 Relations
Chapter 6 Relations Mathematical relations are an extremely general framework for specifying relationships between pairs of objects. This chapter surveys the types of relations that can be constructed
More informationProperties of Binary Relations
FORMALIZED MATHEMATICS Number 1, January 1990 Université Catholique de Louvain Properties of Binary Relations Edmund Woronowicz 1 Warsaw University Bia lystok Anna Zalewska 2 Warsaw University Bia lystok
More informationMath 3000 Section 003 Intro to Abstract Math Final Exam
Math 3000 Section 003 Intro to Abstract Math Final Exam Department of Mathematical and Statistical Sciences University of Colorado Denver, Spring 2012 Name: Problem 1a-j 2 3a-b 4a-b 5a-c 6a-c 7a-b 8a-j
More informationRelations and Equivalence Relations
Relations and Equivalence Relations In this section, we shall introduce a formal definition for the notion of a relation on a set. This is something we often take for granted in elementary algebra courses,
More informationMath.3336: Discrete Mathematics. Chapter 9 Relations
Math.3336: Discrete Mathematics Chapter 9 Relations Instructor: Dr. Blerina Xhabli Department of Mathematics, University of Houston https://www.math.uh.edu/ blerina Email: blerina@math.uh.edu Fall 2018
More informationLecture 7. Logic III. Axiomatic description of properties of relations.
V. Borschev and B. Partee, October 11, 2001 p. 1 Lecture 7. Logic III. Axiomatic description of properties of relations. CONTENTS 1. Axiomatic description of properties and classes of relations... 1 1.1.
More informationOutline Inverse of a Relation Properties of Relations. Relations. Alice E. Fischer. April, 2018
Relations Alice E. Fischer April, 2018 1 Inverse of a Relation 2 Properties of Relations The Inverse of a Relation Let R be a relation from A to B. Define the inverse relation, R 1 from B to A as follows.
More informationRelations. P. Danziger. We may represent a relation by a diagram in which a line is drawn between two elements if they are related.
- 10 Relations P. Danziger 1 Relations (10.1) Definition 1 1. A relation from a set A to a set B is a subset R of A B. 2. Given (x, y) R we say that x is related to y and write xry. 3. If (x, y) R we say
More informationChapter 9: Relations Relations
Chapter 9: Relations 9.1 - Relations Definition 1 (Relation). Let A and B be sets. A binary relation from A to B is a subset R A B, i.e., R is a set of ordered pairs where the first element from each pair
More informationMAD 3105 PRACTICE TEST 2 SOLUTIONS
MAD 3105 PRACTICE TEST 2 SOLUTIONS 1. Let R be the relation defined below. Determine which properties, reflexive, irreflexive, symmetric, antisymmetric, transitive, the relation satisfies. Prove each answer.
More informationAny Wizard of Oz fans? Discrete Math Basics. Outline. Sets. Set Operations. Sets. Dorothy: How does one get to the Emerald City?
Any Wizard of Oz fans? Discrete Math Basics Dorothy: How does one get to the Emerald City? Glynda: It is always best to start at the beginning Outline Sets Relations Proofs Sets A set is a collection of
More informationMassachusetts Institute of Technology 6.042J/18.062J, Fall 02: Mathematics for Computer Science Professor Albert Meyer and Dr.
Massachusetts Institute of Technology 6.042J/18.062J, Fall 02: Mathematics for Computer Science Professor Albert Meyer and Dr. Radhika Nagpal Quiz 1 Appendix Appendix Contents 1 Induction 2 2 Relations
More informationDRAFT CONCEPTUAL SOLUTION REPORT DRAFT
BASIC STRUCTURAL MODELING PROJECT Joseph J. Simpson Mary J. Simpson 08-12-2013 DRAFT CONCEPTUAL SOLUTION REPORT DRAFT Version 0.11 Page 1 of 18 Table of Contents Introduction Conceptual Solution Context
More informationDeviations from the Mean
Deviations from the Mean The Markov inequality for non-negative RVs Variance Definition The Bienaymé Inequality For independent RVs The Chebyeshev Inequality Markov s Inequality For any non-negative random
More informationHarvard CS121 and CSCI E-121 Lecture 2: Mathematical Preliminaries
Harvard CS121 and CSCI E-121 Lecture 2: Mathematical Preliminaries Harry Lewis September 5, 2013 Reading: Sipser, Chapter 0 Sets Sets are defined by their members A = B means that for every x, x A iff
More informationRelations. Relations. Definition. Let A and B be sets.
Relations Relations. Definition. Let A and B be sets. A relation R from A to B is a subset R A B. If a A and b B, we write a R b if (a, b) R, and a /R b if (a, b) / R. A relation from A to A is called
More informationChapter 1. Sets and Numbers
Chapter 1. Sets and Numbers 1. Sets A set is considered to be a collection of objects (elements). If A is a set and x is an element of the set A, we say x is a member of A or x belongs to A, and we write
More informationCHAPTER THREE: RELATIONS AND FUNCTIONS
CHAPTER THREE: RELATIONS AND FUNCTIONS 1 Relations Intuitively, a relation is the sort of thing that either does or does not hold between certain things, e.g. the love relation holds between Kim and Sandy
More informationRelations. We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples.
Relations We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples. Relations use ordered tuples to represent relationships among
More informationLing 510: Lab 2 Ordered Pairs, Relations, and Functions Sept. 16, 2013
1. What we know about sets A set is a collection of members that are: 1. Not ordered 2. All different from one another Ling 510: Lab 2 Ordered Pairs, Relations, and Functions Sept. 16, 2013 (1) a. A ={Elizabeth,
More informationWorksheet on Relations
Worksheet on Relations Recall the properties that relations can have: Definition. Let R be a relation on the set A. R is reflexive if for all a A we have ara. R is irreflexive or antireflexive if for all
More informationChapter 2. Vectors and Vector Spaces
2.1. Operations on Vectors 1 Chapter 2. Vectors and Vector Spaces Section 2.1. Operations on Vectors Note. In this section, we define several arithmetic operations on vectors (especially, vector addition
More informationProve proposition 68. It states: Let R be a ring. We have the following
Theorem HW7.1. properties: Prove proposition 68. It states: Let R be a ring. We have the following 1. The ring R only has one additive identity. That is, if 0 R with 0 +b = b+0 = b for every b R, then
More informationRelations (3A) Young Won Lim 3/27/18
Relations (3A) Copyright (c) 2015 2018 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later
More informationReal Numbers. Real numbers are divided into two types, rational numbers and irrational numbers
Real Numbers Real numbers are divided into two types, rational numbers and irrational numbers I. Rational Numbers: Any number that can be expressed as the quotient of two integers. (fraction). Any number
More informationThe main limitation of the concept of a. function
Relations The main limitation of the concept of a A function, by definition, assigns one output to each input. This means that a function cannot model relationships between sets where some objects on each
More informationProblem 2: (Section 2.1 Exercise 10) (a.) How many elements are in the power set of the power set of the empty set?
Assignment 4 Solutions Problem1: (Section 2.1 Exercise 9) (a.) List all the subsets of the set {a, b, c, d} which contain: (i.) four elements (ii.) three elements (iii.) two elements (iv.) one element
More informationOutline. We will now investigate the structure of this important set.
The Reals Outline As we have seen, the set of real numbers, R, has cardinality c. This doesn't tell us very much about the reals, since there are many sets with this cardinality and cardinality doesn't
More informationDiscrete Structures: Sample Questions, Exam 2, SOLUTIONS
Discrete Structures: Sample Questions, Exam 2, SOLUTIONS (This is longer than the actual test.) 1. Show that any postage of 8 cents or more can be achieved by using only -cent and 5-cent stamps. We proceed
More informationOn the satisfiability problem for a 4-level quantified syllogistic and some applications to modal logic
On the satisfiability problem for a 4-level quantified syllogistic and some applications to modal logic Domenico Cantone and Marianna Nicolosi Asmundo Dipartimento di Matematica e Informatica Università
More informationRelations. Carl Pollard. October 11, Department of Linguistics Ohio State University
Department of Linguistics Ohio State University October 11, 2011 (Intuitive Idea) Intuitively, a relation is the kind of thing that either holds or doesn t hold between certain things. Examples: Being
More informationMatrix operations Linear Algebra with Computer Science Application
Linear Algebra with Computer Science Application February 14, 2018 1 Matrix operations 11 Matrix operations If A is an m n matrix that is, a matrix with m rows and n columns then the scalar entry in the
More informationCS 581: Introduction to the Theory of Computation! Lecture 1!
CS 581: Introduction to the Theory of Computation! Lecture 1! James Hook! Portland State University! hook@cs.pdx.edu! http://www.cs.pdx.edu/~hook/cs581f10/! Welcome!! Contact Information! Jim Hook! Office:
More informationRela%ons and Their Proper%es. Slides by A. Bloomfield
Rela%ons and Their Proper%es Slides by A. Bloomfield What is a rela%on Let A and B be sets. A binary rela%on R is a subset of A B Example Let A be the students in a the CS major A = {Alice, Bob, Claire,
More informationCIS 375 Intro to Discrete Mathematics Exam 2 (Section M001: Yellow) 10 November Points Possible
Name: CIS 375 Intro to Discrete Mathematics Exam 2 (Section M001: Yellow) 10 November 2016 Question Points Possible Points Received 1 20 2 12 3 14 4 10 5 8 6 12 7 12 8 12 Total 100 Instructions: 1. This
More information1 Initial Notation and Definitions
Theory of Computation Pete Manolios Notes on induction Jan 21, 2016 In response to a request for more information on induction, I prepared these notes. Read them if you are interested, but this is not
More information1.4 Equivalence Relations and Partitions
24 CHAPTER 1. REVIEW 1.4 Equivalence Relations and Partitions 1.4.1 Equivalence Relations Definition 1.4.1 (Relation) A binary relation or a relation on a set S is a set R of ordered pairs. This is a very
More informationMTH 310, Section 001 Abstract Algebra I and Number Theory. Sample Midterm 1
MTH 310, Section 001 Abstract Algebra I and Number Theory Sample Midterm 1 Instructions: You have 50 minutes to complete the exam. There are five problems, worth a total of fifty points. You may not use
More informationChapter 2 Notes, Linear Algebra 5e Lay
Contents.1 Operations with Matrices..................................1.1 Addition and Subtraction.............................1. Multiplication by a scalar............................ 3.1.3 Multiplication
More informationPreservation of graded properties of fuzzy relations by aggregation functions
Preservation of graded properties of fuzzy relations by aggregation functions Urszula Dudziak Institute of Mathematics, University of Rzeszów, 35-310 Rzeszów, ul. Rejtana 16a, Poland. e-mail: ududziak@univ.rzeszow.pl
More informationUNIVERSITY OF VICTORIA DECEMBER EXAMINATIONS MATH 122: Logic and Foundations
UNIVERSITY OF VICTORIA DECEMBER EXAMINATIONS 2013 MATH 122: Logic and Foundations Instructor and section (check one): K. Mynhardt [A01] CRN 12132 G. MacGillivray [A02] CRN 12133 NAME: V00#: Duration: 3
More informationICS 6N Computational Linear Algebra Matrix Algebra
ICS 6N Computational Linear Algebra Matrix Algebra Xiaohui Xie University of California, Irvine xhx@uci.edu February 2, 2017 Xiaohui Xie (UCI) ICS 6N February 2, 2017 1 / 24 Matrix Consider an m n matrix
More informationPart IA Numbers and Sets
Part IA Numbers and Sets Definitions Based on lectures by A. G. Thomason Notes taken by Dexter Chua Michaelmas 2014 These notes are not endorsed by the lecturers, and I have modified them (often significantly)
More informationProperties of Real Numbers. Unit 1 Lesson 4
Properties of Real Numbers Unit 1 Lesson 4 Students will be able to: Recognize and use the properties of real numbers. Key Vocabulary: Identity Property Inverse Property Equality Property Associative Property
More informationTotal score: /100 points
Points missed: Student's Name: Total score: /100 points East Tennessee State University Department of Computer and Information Sciences CSCI 2710 (Tarnoff) Discrete Structures TEST 2 for Fall Semester,
More informationRelations. Binary Relation. Let A and B be sets. A (binary) relation from A to B is a subset of A B. Notation. Let R A B be a relation from A to B.
Relations Binary Relation Let A and B be sets. A (binary) relation from A to B is a subset of A B. Notation Let R A B be a relation from A to B. If (a, b) R, we write a R b. 1 Binary Relation Example:
More informationLecture 4.3: Closures and Equivalence Relations
Lecture 4.3: Closures and CS 250, Discrete Structures, Fall 2015 Nitesh Saxena Adopted from previous lectures by Cinda Heeren Course Admin Mid-Term 2 Exam Solution will be posted soon Should have the results
More informationspaghetti fish pie cake Ann X X Tom X X X Paul X X X
CmSc175 Discrete Mathematics Lesson 14: Set Relations 1. Introduction A college cafeteria line has two stations: main courses and desserts. The main course station offers spaghetti or fish; the dessert
More informationSets and Motivation for Boolean algebra
SET THEORY Basic concepts Notations Subset Algebra of sets The power set Ordered pairs and Cartesian product Relations on sets Types of relations and their properties Relational matrix and the graph of
More informationDiscrete Mathematics. W. Ethan Duckworth. Fall 2017, Loyola University Maryland
Discrete Mathematics W. Ethan Duckworth Fall 2017, Loyola University Maryland Contents 1 Introduction 4 1.1 Statements......................................... 4 1.2 Constructing Direct Proofs................................
More informationAdvanced Microeconomics Note 1: Preference and choice
Advanced Microeconomics Note 1: Preference and choice Xiang Han (SUFE) Fall 2017 Advanced microeconomics Note 1: Preference and choice Fall 2017 1 / 17 Introduction Individual decision making Suppose that
More informationChapter 2 - Relations
Chapter 2 - Relations Chapter 2: Relations We could use up two Eternities in learning all that is to be learned about our own world and the thousands of nations that have arisen and flourished and vanished
More informationPacket #5: Binary Relations. Applied Discrete Mathematics
Packet #5: Binary Relations Applied Discrete Mathematics Table of Contents Binary Relations Summary Page 1 Binary Relations Examples Page 2 Properties of Relations Page 3 Examples Pages 4-5 Representations
More informationCOT3100 SI Final Exam Review
1 Symbols COT3100 SI Final Exam Review Jarrett Wendt Spring 2018 You ve learned a plethora of new Mathematical symbols this semester. Let s see if you know them all and what they re used for. How many
More information1. (B) The union of sets A and B is the set whose elements belong to at least one of A
1. (B) The union of sets A and B is the set whose elements belong to at least one of A or B. Thus, A B = { 2, 1, 0, 1, 2, 5}. 2. (A) The intersection of sets A and B is the set whose elements belong to
More information1. To be a grandfather. Objects of our consideration are people; a person a is associated with a person b if a is a grandfather of b.
20 [161016-1020 ] 3.3 Binary relations In mathematics, as in everyday situations, we often speak about a relationship between objects, which means an idea of two objects being related or associated one
More informationCOMP4141 Theory of Computation
COMP4141 Theory of Computation Lecture 4 Regular Languages cont. Ron van der Meyden CSE, UNSW Revision: 2013/03/14 (Credits: David Dill, Thomas Wilke, Kai Engelhardt, Peter Höfner, Rob van Glabbeek) Regular
More informationKevin James. MTHSC 3110 Section 2.1 Matrix Operations
MTHSC 3110 Section 2.1 Matrix Operations Notation Let A be an m n matrix, that is, m rows and n columns. We ll refer to the entries of A by their row and column indices. The entry in the i th row and j
More informationA 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 informationSets. 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 informationFoundations of Mathematics
Foundations of Mathematics L. Pedro Poitevin 1. Preliminaries 1.1. Sets We will naively think of a set as a collection of mathematical objects, called its elements or members. To indicate that an object
More information2MA105 Algebraic Structures I
2MA105 Algebraic Structures I Per-Anders Svensson http://homepage.lnu.se/staff/psvmsi/2ma105.html Lecture 12 Partially Ordered Sets Lattices Bounded Lattices Distributive Lattices Complemented Lattices
More information1. 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