SlideShare a Scribd company logo
1 of 27
Download to read offline
Introduction to set theory and to methodology and philosophy of
mathematics and computer programming
Ordered pairs
An overview
by Jan Plaza
c 2017 Jan Plaza
Use under the Creative Commons Attribution 4.0 International License
Version of February 14, 2017
{x, y} – an unordered pair.
{x, y} = {y, x} – not so with ordered pairs.
A point on the plane is represented as an ordered pair of real numbers.
6
-
r
5
3
5, 3
5, 3 = 3, 5
Definition (Kuratowski)
The ordered pair with coordinates x, y , denoted x, y , is the set {{x}, {x, y}}
{x, y} tells that x and y are the components of the ordered pair.
{x} distinguishes the first component.
Fact
x, x = {{x}, {x, x}} = {{x}, {x}} = {{x}}
Proposition: a, b = c, d iff a = c and b = d.
Proposition: a, b = c, d iff a = c and b = d.
Proof
Proposition: a, b = c, d iff a = c and b = d.
Proof
(←)
(→)
Proposition: a, b = c, d iff a = c and b = d.
Proof
(←) Obvious.
(→)
Proposition: a, b = c, d iff a = c and b = d.
Proof
(←) Obvious.
(If the first object is known under the names a and c, and the second
object is known under the names b and d, then a, b and c, d are
ordered pairs formed from the same objects, and they are the same.)
(→)
Proposition: a, b = c, d iff a = c and b = d.
Proof
(←) Obvious.
(If the first object is known under the names a and c, and the second
object is known under the names b and d, then a, b and c, d are
ordered pairs formed from the same objects, and they are the same.)
(→) on the next slide
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→)
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
Case: a=b.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
Case: a=b.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
Case: a=b.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
Case: a=b.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
So, {{a}, {a, b}} = {{c}, {c, d}}.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
So, {{a}, {a, b}} = {{c}, {c, d}}.
a=b.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
So, {{a}, {a, b}} = {{c}, {c, d}}.
a=b.
So, {a, b}={c}.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
So, {{a}, {a, b}} = {{c}, {c, d}}.
a=b.
So, {a, b}={c}.
So, {a, b} = {c, d}.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
So, {{a}, {a, b}} = {{c}, {c, d}}.
a=b.
So, {a, b}={c}.
So, {a, b} = {c, d}.
So, {c, d}={a}.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
So, {{a}, {a, b}} = {{c}, {c, d}}.
a=b.
So, {a, b}={c}.
So, {a, b} = {c, d}.
So, {c, d}={a}.
So, {a} = {c}.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
So, {{a}, {a, b}} = {{c}, {c, d}}.
a=b.
So, {a, b}={c}.
So, {a, b} = {c, d}.
So, {c, d}={a}.
So, {a} = {c}.
So, a = c.
Proposition: a, b = c, d iff a = c and b = d.
Proof
(→) Assume that a, b = c, d .
Case: a = b.
a, b = c, d .
So, {{a}} = {{c}, {c, d}}.
So, {a} = {c} = {c, d}.
So, a = c = d.
Case: a=b.
a, b = c, d .
So, {{a}, {a, b}} = {{c}, {c, d}}.
a=b.
So, {a, b}={c}.
So, {a, b} = {c, d}.
So, {c, d}={a}.
So, {a} = {c}.
So, a = c.
So, b = d.
Fact
x, y = y, x iff x = y.
Thinking about program variables and their values. (In two different ways.)
1. A variable has a value: VARIABLE-NAME, VALUE .
2. A variable refers to a memory address. The memory address stores a value.
VARIABLE-NAME, MEMORY-ADDRESS together with
MEMORY-ADDRESS, VALUE .

More Related Content

What's hot

Exponential equations
Exponential equationsExponential equations
Exponential equationsnovember12
 
Graphs of linear equation
Graphs of linear equationGraphs of linear equation
Graphs of linear equationJunila Tejada
 
2.4 Linear Functions
2.4 Linear Functions2.4 Linear Functions
2.4 Linear Functionssmiller5
 
6.7 quadratic inequalities
6.7 quadratic inequalities6.7 quadratic inequalities
6.7 quadratic inequalitiesJessica Garcia
 
Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor Mohd. Noor Abdul Hamid
 
Add/Subtract polynomials
Add/Subtract polynomialsAdd/Subtract polynomials
Add/Subtract polynomialsswartzje
 
Contant, Variable and Algebraic Expressions
Contant, Variable and Algebraic ExpressionsContant, Variable and Algebraic Expressions
Contant, Variable and Algebraic Expressionsabby cruz
 
Piecewise Functions
Piecewise FunctionsPiecewise Functions
Piecewise Functionsswartzje
 
3 2 Polynomial Functions And Their Graphs
3 2 Polynomial Functions And Their Graphs3 2 Polynomial Functions And Their Graphs
3 2 Polynomial Functions And Their Graphssilvia
 
Mathematics 9 Lesson 3: Quadratic Functions
Mathematics 9 Lesson 3: Quadratic FunctionsMathematics 9 Lesson 3: Quadratic Functions
Mathematics 9 Lesson 3: Quadratic FunctionsJuan Miguel Palero
 
Graphs of polynomial functions
Graphs of polynomial functionsGraphs of polynomial functions
Graphs of polynomial functionsCarlos Erepol
 
Multiplying polynomials
Multiplying polynomialsMultiplying polynomials
Multiplying polynomialscvaughn911
 
Modular arithmetic
Modular arithmeticModular arithmetic
Modular arithmeticsangeetha s
 
Solving Systems of Linear Equations in Two Variables by Graphing
Solving Systems of Linear Equations in Two Variables by GraphingSolving Systems of Linear Equations in Two Variables by Graphing
Solving Systems of Linear Equations in Two Variables by GraphingJoey Valdriz
 
Adding and subtracting rational expressions
Adding and subtracting rational expressionsAdding and subtracting rational expressions
Adding and subtracting rational expressionsDawn Adams2
 
Module 9 Topic 1 - Adding & Subtracting polynomials
Module 9 Topic 1 - Adding & Subtracting polynomialsModule 9 Topic 1 - Adding & Subtracting polynomials
Module 9 Topic 1 - Adding & Subtracting polynomialsLori Rapp
 
2.7 Piecewise Functions
2.7 Piecewise Functions2.7 Piecewise Functions
2.7 Piecewise Functionshisema01
 
Exponential Functions
Exponential FunctionsExponential Functions
Exponential Functionsitutor
 
Equation of a circle
Equation of a circleEquation of a circle
Equation of a circlevhughes5
 

What's hot (20)

Exponential equations
Exponential equationsExponential equations
Exponential equations
 
Graphs of linear equation
Graphs of linear equationGraphs of linear equation
Graphs of linear equation
 
2.4 Linear Functions
2.4 Linear Functions2.4 Linear Functions
2.4 Linear Functions
 
6.7 quadratic inequalities
6.7 quadratic inequalities6.7 quadratic inequalities
6.7 quadratic inequalities
 
Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor
 
Add/Subtract polynomials
Add/Subtract polynomialsAdd/Subtract polynomials
Add/Subtract polynomials
 
Contant, Variable and Algebraic Expressions
Contant, Variable and Algebraic ExpressionsContant, Variable and Algebraic Expressions
Contant, Variable and Algebraic Expressions
 
Piecewise Functions
Piecewise FunctionsPiecewise Functions
Piecewise Functions
 
3 2 Polynomial Functions And Their Graphs
3 2 Polynomial Functions And Their Graphs3 2 Polynomial Functions And Their Graphs
3 2 Polynomial Functions And Their Graphs
 
Mathematics 9 Lesson 3: Quadratic Functions
Mathematics 9 Lesson 3: Quadratic FunctionsMathematics 9 Lesson 3: Quadratic Functions
Mathematics 9 Lesson 3: Quadratic Functions
 
Graphs of polynomial functions
Graphs of polynomial functionsGraphs of polynomial functions
Graphs of polynomial functions
 
Multiplying polynomials
Multiplying polynomialsMultiplying polynomials
Multiplying polynomials
 
Modular arithmetic
Modular arithmeticModular arithmetic
Modular arithmetic
 
Solving Systems of Linear Equations in Two Variables by Graphing
Solving Systems of Linear Equations in Two Variables by GraphingSolving Systems of Linear Equations in Two Variables by Graphing
Solving Systems of Linear Equations in Two Variables by Graphing
 
Adding and subtracting rational expressions
Adding and subtracting rational expressionsAdding and subtracting rational expressions
Adding and subtracting rational expressions
 
Module 9 Topic 1 - Adding & Subtracting polynomials
Module 9 Topic 1 - Adding & Subtracting polynomialsModule 9 Topic 1 - Adding & Subtracting polynomials
Module 9 Topic 1 - Adding & Subtracting polynomials
 
2.7 Piecewise Functions
2.7 Piecewise Functions2.7 Piecewise Functions
2.7 Piecewise Functions
 
7 functions
7   functions7   functions
7 functions
 
Exponential Functions
Exponential FunctionsExponential Functions
Exponential Functions
 
Equation of a circle
Equation of a circleEquation of a circle
Equation of a circle
 

Viewers also liked

2.9 Cartesian products
2.9 Cartesian products2.9 Cartesian products
2.9 Cartesian productsJan Plaza
 
2.3 Set difference
2.3 Set difference2.3 Set difference
2.3 Set differenceJan Plaza
 
2.8 Ordered tuples
2.8 Ordered tuples2.8 Ordered tuples
2.8 Ordered tuplesJan Plaza
 
2.2 Properties of union, intersection and complement
2.2 Properties of union, intersection and complement2.2 Properties of union, intersection and complement
2.2 Properties of union, intersection and complementJan Plaza
 
2.5 Disjoint, covering and complementary sets
2.5 Disjoint, covering and complementary sets2.5 Disjoint, covering and complementary sets
2.5 Disjoint, covering and complementary setsJan Plaza
 
2.1 Union, intersection and complement
2.1 Union, intersection and complement2.1 Union, intersection and complement
2.1 Union, intersection and complementJan Plaza
 
2.6 Properties of inclusion
2.6 Properties of inclusion2.6 Properties of inclusion
2.6 Properties of inclusionJan Plaza
 
2.4 Symmetric difference
2.4 Symmetric difference2.4 Symmetric difference
2.4 Symmetric differenceJan Plaza
 
3.2 Power sets
3.2 Power sets3.2 Power sets
3.2 Power setsJan Plaza
 
3.7 Indexed families of sets
3.7 Indexed families of sets3.7 Indexed families of sets
3.7 Indexed families of setsJan Plaza
 
4.1 Defining and visualizing binary relations
4.1 Defining and visualizing binary relations4.1 Defining and visualizing binary relations
4.1 Defining and visualizing binary relationsJan Plaza
 
3.6 Families ordered by inclusion
3.6 Families ordered by inclusion3.6 Families ordered by inclusion
3.6 Families ordered by inclusionJan Plaza
 
History,applications,algebra and mathematical form of plane in mathematics (p...
History,applications,algebra and mathematical form of plane in mathematics (p...History,applications,algebra and mathematical form of plane in mathematics (p...
History,applications,algebra and mathematical form of plane in mathematics (p...guesta62dea
 
Rectangular coordinate system
Rectangular coordinate systemRectangular coordinate system
Rectangular coordinate systemCathy Francisco
 
4.4 Set operations on relations
4.4 Set operations on relations4.4 Set operations on relations
4.4 Set operations on relationsJan Plaza
 
Strategic intervention materials (1) edited
Strategic intervention materials (1) editedStrategic intervention materials (1) edited
Strategic intervention materials (1) editedDaniel Bragais
 

Viewers also liked (18)

2.9 Cartesian products
2.9 Cartesian products2.9 Cartesian products
2.9 Cartesian products
 
2.3 Set difference
2.3 Set difference2.3 Set difference
2.3 Set difference
 
2.8 Ordered tuples
2.8 Ordered tuples2.8 Ordered tuples
2.8 Ordered tuples
 
2.2 Properties of union, intersection and complement
2.2 Properties of union, intersection and complement2.2 Properties of union, intersection and complement
2.2 Properties of union, intersection and complement
 
2.5 Disjoint, covering and complementary sets
2.5 Disjoint, covering and complementary sets2.5 Disjoint, covering and complementary sets
2.5 Disjoint, covering and complementary sets
 
2.1 Union, intersection and complement
2.1 Union, intersection and complement2.1 Union, intersection and complement
2.1 Union, intersection and complement
 
2.6 Properties of inclusion
2.6 Properties of inclusion2.6 Properties of inclusion
2.6 Properties of inclusion
 
2.4 Symmetric difference
2.4 Symmetric difference2.4 Symmetric difference
2.4 Symmetric difference
 
3.2 Power sets
3.2 Power sets3.2 Power sets
3.2 Power sets
 
3.7 Indexed families of sets
3.7 Indexed families of sets3.7 Indexed families of sets
3.7 Indexed families of sets
 
4.1 Defining and visualizing binary relations
4.1 Defining and visualizing binary relations4.1 Defining and visualizing binary relations
4.1 Defining and visualizing binary relations
 
Unit .2
Unit .2Unit .2
Unit .2
 
3.6 Families ordered by inclusion
3.6 Families ordered by inclusion3.6 Families ordered by inclusion
3.6 Families ordered by inclusion
 
History,applications,algebra and mathematical form of plane in mathematics (p...
History,applications,algebra and mathematical form of plane in mathematics (p...History,applications,algebra and mathematical form of plane in mathematics (p...
History,applications,algebra and mathematical form of plane in mathematics (p...
 
Rectangular coordinate system
Rectangular coordinate systemRectangular coordinate system
Rectangular coordinate system
 
4.4 Set operations on relations
4.4 Set operations on relations4.4 Set operations on relations
4.4 Set operations on relations
 
Rectangular Coordinate System
Rectangular Coordinate SystemRectangular Coordinate System
Rectangular Coordinate System
 
Strategic intervention materials (1) edited
Strategic intervention materials (1) editedStrategic intervention materials (1) edited
Strategic intervention materials (1) edited
 

Similar to 2.7 Ordered pairs

Chapter-4: More on Direct Proof and Proof by Contrapositive
Chapter-4: More on Direct Proof and Proof by ContrapositiveChapter-4: More on Direct Proof and Proof by Contrapositive
Chapter-4: More on Direct Proof and Proof by Contrapositivenszakir
 
Set theory self study material
Set theory  self study materialSet theory  self study material
Set theory self study materialDrATAMILARASIMCA
 
74 permutations and combinations
74 permutations and combinations74 permutations and combinations
74 permutations and combinationsmath126
 
5.5 permutations and combinations
5.5 permutations and combinations5.5 permutations and combinations
5.5 permutations and combinationsmath123c
 
Algorithm_Matroids and greedy methods
Algorithm_Matroids and greedy methodsAlgorithm_Matroids and greedy methods
Algorithm_Matroids and greedy methodsIm Rafid
 
Discrete mathematic question answers
Discrete mathematic question answersDiscrete mathematic question answers
Discrete mathematic question answersSamet öztoprak
 
Solution Strategies for Equations that Arise in Geometric (Cliff ord) Algebra
Solution Strategies for Equations that Arise in Geometric (Clifford) AlgebraSolution Strategies for Equations that Arise in Geometric (Clifford) Algebra
Solution Strategies for Equations that Arise in Geometric (Cliff ord) AlgebraJames Smith
 
Probability and Entanglement
Probability and EntanglementProbability and Entanglement
Probability and EntanglementGunn Quznetsov
 
SET THEORY
SET THEORYSET THEORY
SET THEORYLena
 
72 more on sets and logic
72 more on sets and logic72 more on sets and logic
72 more on sets and logicmath126
 
Discrete Mathematics and Its Applications 7th Edition Rose Solutions Manual
Discrete Mathematics and Its Applications 7th Edition Rose Solutions ManualDiscrete Mathematics and Its Applications 7th Edition Rose Solutions Manual
Discrete Mathematics and Its Applications 7th Edition Rose Solutions ManualTallulahTallulah
 
6.5 determinant x
6.5 determinant x6.5 determinant x
6.5 determinant xmath260
 

Similar to 2.7 Ordered pairs (20)

Chapter-4: More on Direct Proof and Proof by Contrapositive
Chapter-4: More on Direct Proof and Proof by ContrapositiveChapter-4: More on Direct Proof and Proof by Contrapositive
Chapter-4: More on Direct Proof and Proof by Contrapositive
 
Math Assignment Help
Math Assignment HelpMath Assignment Help
Math Assignment Help
 
Set theory self study material
Set theory  self study materialSet theory  self study material
Set theory self study material
 
Set Operations
Set OperationsSet Operations
Set Operations
 
74 permutations and combinations
74 permutations and combinations74 permutations and combinations
74 permutations and combinations
 
5.5 permutations and combinations
5.5 permutations and combinations5.5 permutations and combinations
5.5 permutations and combinations
 
Algorithm_Matroids and greedy methods
Algorithm_Matroids and greedy methodsAlgorithm_Matroids and greedy methods
Algorithm_Matroids and greedy methods
 
Discrete mathematic question answers
Discrete mathematic question answersDiscrete mathematic question answers
Discrete mathematic question answers
 
Solution Strategies for Equations that Arise in Geometric (Cliff ord) Algebra
Solution Strategies for Equations that Arise in Geometric (Clifford) AlgebraSolution Strategies for Equations that Arise in Geometric (Clifford) Algebra
Solution Strategies for Equations that Arise in Geometric (Cliff ord) Algebra
 
Mcs 013 solve assignment
Mcs 013 solve assignmentMcs 013 solve assignment
Mcs 013 solve assignment
 
Probability and Entanglement
Probability and EntanglementProbability and Entanglement
Probability and Entanglement
 
SET THEORY
SET THEORYSET THEORY
SET THEORY
 
Lemh1a1
Lemh1a1Lemh1a1
Lemh1a1
 
Lemh1a1
Lemh1a1Lemh1a1
Lemh1a1
 
Polynomials
PolynomialsPolynomials
Polynomials
 
Sets (1).ppt
Sets (1).pptSets (1).ppt
Sets (1).ppt
 
72 more on sets and logic
72 more on sets and logic72 more on sets and logic
72 more on sets and logic
 
Discrete Mathematics and Its Applications 7th Edition Rose Solutions Manual
Discrete Mathematics and Its Applications 7th Edition Rose Solutions ManualDiscrete Mathematics and Its Applications 7th Edition Rose Solutions Manual
Discrete Mathematics and Its Applications 7th Edition Rose Solutions Manual
 
6.5 determinant x
6.5 determinant x6.5 determinant x
6.5 determinant x
 
Mtk3013 chapter 2-3
Mtk3013   chapter 2-3Mtk3013   chapter 2-3
Mtk3013 chapter 2-3
 

More from Jan Plaza

6.3 Equivalences versus partitions
6.3 Equivalences versus partitions6.3 Equivalences versus partitions
6.3 Equivalences versus partitionsJan Plaza
 
6.1 Partitions
6.1 Partitions6.1 Partitions
6.1 PartitionsJan Plaza
 
6.2 Reflexivity, symmetry and transitivity (dynamic slides)
6.2 Reflexivity, symmetry and transitivity (dynamic slides)6.2 Reflexivity, symmetry and transitivity (dynamic slides)
6.2 Reflexivity, symmetry and transitivity (dynamic slides)Jan Plaza
 
6.2 Reflexivity, symmetry and transitivity (handout)
6.2 Reflexivity, symmetry and transitivity (handout)6.2 Reflexivity, symmetry and transitivity (handout)
6.2 Reflexivity, symmetry and transitivity (handout)Jan Plaza
 
5.8 Permutations (handout)
5.8 Permutations (handout)5.8 Permutations (handout)
5.8 Permutations (handout)Jan Plaza
 
5.8 Permutations (dynamic slides)
5.8 Permutations (dynamic slides)5.8 Permutations (dynamic slides)
5.8 Permutations (dynamic slides)Jan Plaza
 
5.7 Function powers
5.7 Function powers5.7 Function powers
5.7 Function powersJan Plaza
 
5.6 Function inverse. A handout.
5.6 Function inverse. A handout.5.6 Function inverse. A handout.
5.6 Function inverse. A handout.Jan Plaza
 
5.6 Function inverse. Dynamic slides.
5.6 Function inverse. Dynamic slides.5.6 Function inverse. Dynamic slides.
5.6 Function inverse. Dynamic slides.Jan Plaza
 
5.5 Injective and surjective functions. A handout.
5.5 Injective and surjective functions. A handout.5.5 Injective and surjective functions. A handout.
5.5 Injective and surjective functions. A handout.Jan Plaza
 
5.5 Injective and surjective functions. Dynamic slides.
5.5 Injective and surjective functions. Dynamic slides.5.5 Injective and surjective functions. Dynamic slides.
5.5 Injective and surjective functions. Dynamic slides.Jan Plaza
 
5.3 Basic functions. A handout.
5.3 Basic functions. A handout.5.3 Basic functions. A handout.
5.3 Basic functions. A handout.Jan Plaza
 
5.3 Basic functions. Dynamic slides.
5.3 Basic functions. Dynamic slides.5.3 Basic functions. Dynamic slides.
5.3 Basic functions. Dynamic slides.Jan Plaza
 
5.1 Defining and visualizing functions. A handout.
5.1 Defining and visualizing functions. A handout.5.1 Defining and visualizing functions. A handout.
5.1 Defining and visualizing functions. A handout.Jan Plaza
 
5.1 Defining and visualizing functions. Dynamic slides.
5.1 Defining and visualizing functions. Dynamic slides.5.1 Defining and visualizing functions. Dynamic slides.
5.1 Defining and visualizing functions. Dynamic slides.Jan Plaza
 
1.8 Separation schema
1.8 Separation schema1.8 Separation schema
1.8 Separation schemaJan Plaza
 
1.4 Abstract objects and expressions
1.4 Abstract objects and expressions1.4 Abstract objects and expressions
1.4 Abstract objects and expressionsJan Plaza
 
1.2 Axiom of pair
1.2 Axiom of pair1.2 Axiom of pair
1.2 Axiom of pairJan Plaza
 
1.11 Mathematical induction
1.11 Mathematical induction1.11 Mathematical induction
1.11 Mathematical inductionJan Plaza
 
1.7 The sets of numbers
1.7 The sets of numbers1.7 The sets of numbers
1.7 The sets of numbersJan Plaza
 

More from Jan Plaza (20)

6.3 Equivalences versus partitions
6.3 Equivalences versus partitions6.3 Equivalences versus partitions
6.3 Equivalences versus partitions
 
6.1 Partitions
6.1 Partitions6.1 Partitions
6.1 Partitions
 
6.2 Reflexivity, symmetry and transitivity (dynamic slides)
6.2 Reflexivity, symmetry and transitivity (dynamic slides)6.2 Reflexivity, symmetry and transitivity (dynamic slides)
6.2 Reflexivity, symmetry and transitivity (dynamic slides)
 
6.2 Reflexivity, symmetry and transitivity (handout)
6.2 Reflexivity, symmetry and transitivity (handout)6.2 Reflexivity, symmetry and transitivity (handout)
6.2 Reflexivity, symmetry and transitivity (handout)
 
5.8 Permutations (handout)
5.8 Permutations (handout)5.8 Permutations (handout)
5.8 Permutations (handout)
 
5.8 Permutations (dynamic slides)
5.8 Permutations (dynamic slides)5.8 Permutations (dynamic slides)
5.8 Permutations (dynamic slides)
 
5.7 Function powers
5.7 Function powers5.7 Function powers
5.7 Function powers
 
5.6 Function inverse. A handout.
5.6 Function inverse. A handout.5.6 Function inverse. A handout.
5.6 Function inverse. A handout.
 
5.6 Function inverse. Dynamic slides.
5.6 Function inverse. Dynamic slides.5.6 Function inverse. Dynamic slides.
5.6 Function inverse. Dynamic slides.
 
5.5 Injective and surjective functions. A handout.
5.5 Injective and surjective functions. A handout.5.5 Injective and surjective functions. A handout.
5.5 Injective and surjective functions. A handout.
 
5.5 Injective and surjective functions. Dynamic slides.
5.5 Injective and surjective functions. Dynamic slides.5.5 Injective and surjective functions. Dynamic slides.
5.5 Injective and surjective functions. Dynamic slides.
 
5.3 Basic functions. A handout.
5.3 Basic functions. A handout.5.3 Basic functions. A handout.
5.3 Basic functions. A handout.
 
5.3 Basic functions. Dynamic slides.
5.3 Basic functions. Dynamic slides.5.3 Basic functions. Dynamic slides.
5.3 Basic functions. Dynamic slides.
 
5.1 Defining and visualizing functions. A handout.
5.1 Defining and visualizing functions. A handout.5.1 Defining and visualizing functions. A handout.
5.1 Defining and visualizing functions. A handout.
 
5.1 Defining and visualizing functions. Dynamic slides.
5.1 Defining and visualizing functions. Dynamic slides.5.1 Defining and visualizing functions. Dynamic slides.
5.1 Defining and visualizing functions. Dynamic slides.
 
1.8 Separation schema
1.8 Separation schema1.8 Separation schema
1.8 Separation schema
 
1.4 Abstract objects and expressions
1.4 Abstract objects and expressions1.4 Abstract objects and expressions
1.4 Abstract objects and expressions
 
1.2 Axiom of pair
1.2 Axiom of pair1.2 Axiom of pair
1.2 Axiom of pair
 
1.11 Mathematical induction
1.11 Mathematical induction1.11 Mathematical induction
1.11 Mathematical induction
 
1.7 The sets of numbers
1.7 The sets of numbers1.7 The sets of numbers
1.7 The sets of numbers
 

Recently uploaded

Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 

Recently uploaded (20)

Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 

2.7 Ordered pairs

  • 1. Introduction to set theory and to methodology and philosophy of mathematics and computer programming Ordered pairs An overview by Jan Plaza c 2017 Jan Plaza Use under the Creative Commons Attribution 4.0 International License Version of February 14, 2017
  • 2. {x, y} – an unordered pair. {x, y} = {y, x} – not so with ordered pairs. A point on the plane is represented as an ordered pair of real numbers. 6 - r 5 3 5, 3 5, 3 = 3, 5
  • 3. Definition (Kuratowski) The ordered pair with coordinates x, y , denoted x, y , is the set {{x}, {x, y}} {x, y} tells that x and y are the components of the ordered pair. {x} distinguishes the first component. Fact x, x = {{x}, {x, x}} = {{x}, {x}} = {{x}}
  • 4. Proposition: a, b = c, d iff a = c and b = d.
  • 5. Proposition: a, b = c, d iff a = c and b = d. Proof
  • 6. Proposition: a, b = c, d iff a = c and b = d. Proof (←) (→)
  • 7. Proposition: a, b = c, d iff a = c and b = d. Proof (←) Obvious. (→)
  • 8. Proposition: a, b = c, d iff a = c and b = d. Proof (←) Obvious. (If the first object is known under the names a and c, and the second object is known under the names b and d, then a, b and c, d are ordered pairs formed from the same objects, and they are the same.) (→)
  • 9. Proposition: a, b = c, d iff a = c and b = d. Proof (←) Obvious. (If the first object is known under the names a and c, and the second object is known under the names b and d, then a, b and c, d are ordered pairs formed from the same objects, and they are the same.) (→) on the next slide
  • 10. Proposition: a, b = c, d iff a = c and b = d. Proof (→)
  • 11. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d .
  • 12. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. Case: a=b.
  • 13. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . Case: a=b.
  • 14. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. Case: a=b.
  • 15. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. Case: a=b.
  • 16. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b.
  • 17. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d .
  • 18. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d . So, {{a}, {a, b}} = {{c}, {c, d}}.
  • 19. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d . So, {{a}, {a, b}} = {{c}, {c, d}}. a=b.
  • 20. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d . So, {{a}, {a, b}} = {{c}, {c, d}}. a=b. So, {a, b}={c}.
  • 21. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d . So, {{a}, {a, b}} = {{c}, {c, d}}. a=b. So, {a, b}={c}. So, {a, b} = {c, d}.
  • 22. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d . So, {{a}, {a, b}} = {{c}, {c, d}}. a=b. So, {a, b}={c}. So, {a, b} = {c, d}. So, {c, d}={a}.
  • 23. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d . So, {{a}, {a, b}} = {{c}, {c, d}}. a=b. So, {a, b}={c}. So, {a, b} = {c, d}. So, {c, d}={a}. So, {a} = {c}.
  • 24. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d . So, {{a}, {a, b}} = {{c}, {c, d}}. a=b. So, {a, b}={c}. So, {a, b} = {c, d}. So, {c, d}={a}. So, {a} = {c}. So, a = c.
  • 25. Proposition: a, b = c, d iff a = c and b = d. Proof (→) Assume that a, b = c, d . Case: a = b. a, b = c, d . So, {{a}} = {{c}, {c, d}}. So, {a} = {c} = {c, d}. So, a = c = d. Case: a=b. a, b = c, d . So, {{a}, {a, b}} = {{c}, {c, d}}. a=b. So, {a, b}={c}. So, {a, b} = {c, d}. So, {c, d}={a}. So, {a} = {c}. So, a = c. So, b = d.
  • 26. Fact x, y = y, x iff x = y.
  • 27. Thinking about program variables and their values. (In two different ways.) 1. A variable has a value: VARIABLE-NAME, VALUE . 2. A variable refers to a memory address. The memory address stores a value. VARIABLE-NAME, MEMORY-ADDRESS together with MEMORY-ADDRESS, VALUE .