SlideShare una empresa de Scribd logo
1 de 12
Descargar para leer sin conexión
Truth, Deduction,
Computation
Lecture H
Set Theory, Informally
Vlad Patryshev
SCU
2013
Sets, Informally
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.

a ∈ A : a is an element of A
a ∉ A ≡ ¬(a∈A)
empty set ∅ ≡ ¬∃x (x∈∅)
A ⊂ B ≡ ∀x ((x∈A)→(x∈B))
A ⊄ B ≡ ¬(A⊂B)
{a,b,c…} : a set consisting of a,b,c…
{x∈A | P(x)} : set comprehension (like in Python)
A ∩ B = {x | (x∈A) ∧ (x∈B)}
A ∪ B = {x | (x∈A) ∨ (x∈B)}
A  B = {x | (x∈A) ∧ ¬(x∈B)}
Do we have two monoids?
powerset P(A) ≡ {B | B ⊂ A}
e.g. P(∅)={∅}; P(P(∅)={∅,{∅}}
Examples of Sets
1.
2.
3.
4.
5.
6.
7.

empty set ∅ - size 0
finite sets e.g. {∅, {∅, {∅}}, {{∅}}}
set of natural numbers ℕ - size ℵ0
set of integer numbers ℤ - size ℵ0
set of rational numbers ℚ - size ℵ0
set of real numbers ℝ - size ℵ1
set of complex numbers ℂ - size ℵ1
Sets Equality
A=B ≡ ∀x ((x∈A) ↔ (x∈B))

● {a,b} = {b,a}
● {a,a,a} = {a}
● A = B iff {A} = {B} iff {{A}} = {{B}}
Powerset
P(A) aka 2A ≡ {x|x⊂A}

● 2∅ ={∅}
● 2{a,b} = {∅,{a},{b},{a,b}}
● 2A ∪ B = 2 A × 2A
Natural Numbers in Sets
∅, {∅}, {{∅}}, {{{∅}}}, etc…
Meaning, 0≡∅; S(n)≡{n}. Just count the curlies.
Or, better, ∅, {∅}, {∅, {∅}}, {∅, {∅}, {{∅}}}
Where’s Universal Property? Oops, something’s missing.
But first, introduce pairs.
Define Pair
(a,b), for a and b of any nature.
No, {a,b} won’t work, it’s the same as {b,a}
How about {a,{a,b}}?
Almost there… do you see the problem?
Will fix it later.
Have Pairs, define Relationships
A × B ≡ {(a,b) | (a∈A)∧(b∈B)}
● A × ∅ = ∅
● A × (B∪C) = (A×B) ∪ (A×C)
● {a,b} × {x,y} = {(a,x),(a,y),(b,x),(b,y)}

Do you see a monoid?
Kinds of Binary Relationships
R ⊂ A × B
●
●
●
●
●
●
●
●

xRy ≡ (x,y)∈R
reflexive: ∀x (xRx)
symmetric: ∀x∀y (xRy → yRx)
antisymmetric: ∀x∀y ¬(xRy ∧ yRx)
transitive: ∀x∀y∀z ((xRy ∧ yRz) → xRz)
equivalence: reflexive, symmetric, transitive
partial order: antisymmetric, reflexive
functional: ∀x ∃!y (xRy)
Infinities
A set is infinite if it is in bijection with its
proper subset
●
●
●
●
●
●
●

finite: in bijection with a natural number ({∅, {∅}, {{∅}}...})
ℵ0 - in bijection with ℕ
ℵ1 - in bijection with 2ℕ, which is in bijection with
ℵ2 = 2ℵ1
etc, ℵk+1 = 2ℵk
ℵx= ∪ {ℵy| y < x}
ℵ = the power of all sets; ℵ=2ℵ (?!)
Good Reading on Aleph

ℝ
Many Definitions, Many Paradoxes
● Are there as many natural numbers as their squares?
● Points of a square vs points on the edge of the square same amount?!
● The diary of Tristram Shandy problem
● Ross-Littlewood-Achilles (take 1 ball, add 10, each
time twice faster)
● Russell paradox
● König's paradox (the first real number not finitely
defineable)
● etc
That’s it for today

Más contenido relacionado

La actualidad más candente

2.7 Ordered pairs
2.7 Ordered pairs2.7 Ordered pairs
2.7 Ordered pairsJan Plaza
 
Mathcad explicit solution cubic equation examples
Mathcad   explicit solution cubic equation examplesMathcad   explicit solution cubic equation examples
Mathcad explicit solution cubic equation examplesJulio Banks
 
2.9 Cartesian products
2.9 Cartesian products2.9 Cartesian products
2.9 Cartesian productsJan Plaza
 
Diagram Venn Beserta Contoh Soal
Diagram Venn Beserta Contoh SoalDiagram Venn Beserta Contoh Soal
Diagram Venn Beserta Contoh SoalEman Mendrofa
 
Combining like terms
Combining like termsCombining like terms
Combining like termsgcahill10
 
Zaharescu__Eugen Color Image Indexing Using Mathematical Morphology
Zaharescu__Eugen Color Image Indexing Using Mathematical MorphologyZaharescu__Eugen Color Image Indexing Using Mathematical Morphology
Zaharescu__Eugen Color Image Indexing Using Mathematical MorphologyEugen Zaharescu
 
Some Common Fixed Point Results for Expansive Mappings in a Cone Metric Space
Some Common Fixed Point Results for Expansive Mappings in a Cone Metric SpaceSome Common Fixed Point Results for Expansive Mappings in a Cone Metric Space
Some Common Fixed Point Results for Expansive Mappings in a Cone Metric SpaceIOSR Journals
 
Probability based learning (in book: Machine learning for predictve data anal...
Probability based learning (in book: Machine learning for predictve data anal...Probability based learning (in book: Machine learning for predictve data anal...
Probability based learning (in book: Machine learning for predictve data anal...Duyen Do
 
Add Math(F4) Quadratic Function 3.1
Add Math(F4)  Quadratic Function  3.1Add Math(F4)  Quadratic Function  3.1
Add Math(F4) Quadratic Function 3.1roszelan
 
The Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu AlgorithmThe Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu AlgorithmJoe Suzuki
 
Chebyshev Polynomial Based Numerical Inverse Laplace Transform Solutions of L...
Chebyshev Polynomial Based Numerical Inverse Laplace Transform Solutions of L...Chebyshev Polynomial Based Numerical Inverse Laplace Transform Solutions of L...
Chebyshev Polynomial Based Numerical Inverse Laplace Transform Solutions of L...arj_online
 
Presentation mathmatic 3
Presentation mathmatic 3Presentation mathmatic 3
Presentation mathmatic 3nashaat algrara
 
2.3 Set difference
2.3 Set difference2.3 Set difference
2.3 Set differenceJan Plaza
 

La actualidad más candente (19)

2.7 Ordered pairs
2.7 Ordered pairs2.7 Ordered pairs
2.7 Ordered pairs
 
Mathcad explicit solution cubic equation examples
Mathcad   explicit solution cubic equation examplesMathcad   explicit solution cubic equation examples
Mathcad explicit solution cubic equation examples
 
2.9 Cartesian products
2.9 Cartesian products2.9 Cartesian products
2.9 Cartesian products
 
Chpt 2-sets v.3
Chpt 2-sets v.3Chpt 2-sets v.3
Chpt 2-sets v.3
 
Diagram Venn Beserta Contoh Soal
Diagram Venn Beserta Contoh SoalDiagram Venn Beserta Contoh Soal
Diagram Venn Beserta Contoh Soal
 
Mtk3013 chapter 2-3
Mtk3013   chapter 2-3Mtk3013   chapter 2-3
Mtk3013 chapter 2-3
 
Homework 2 sol
Homework 2 solHomework 2 sol
Homework 2 sol
 
Set Operations
Set OperationsSet Operations
Set Operations
 
Combining like terms
Combining like termsCombining like terms
Combining like terms
 
Zaharescu__Eugen Color Image Indexing Using Mathematical Morphology
Zaharescu__Eugen Color Image Indexing Using Mathematical MorphologyZaharescu__Eugen Color Image Indexing Using Mathematical Morphology
Zaharescu__Eugen Color Image Indexing Using Mathematical Morphology
 
Mcs 013 solve assignment
Mcs 013 solve assignmentMcs 013 solve assignment
Mcs 013 solve assignment
 
Some Common Fixed Point Results for Expansive Mappings in a Cone Metric Space
Some Common Fixed Point Results for Expansive Mappings in a Cone Metric SpaceSome Common Fixed Point Results for Expansive Mappings in a Cone Metric Space
Some Common Fixed Point Results for Expansive Mappings in a Cone Metric Space
 
Probability based learning (in book: Machine learning for predictve data anal...
Probability based learning (in book: Machine learning for predictve data anal...Probability based learning (in book: Machine learning for predictve data anal...
Probability based learning (in book: Machine learning for predictve data anal...
 
Graph functions
Graph functionsGraph functions
Graph functions
 
Add Math(F4) Quadratic Function 3.1
Add Math(F4)  Quadratic Function  3.1Add Math(F4)  Quadratic Function  3.1
Add Math(F4) Quadratic Function 3.1
 
The Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu AlgorithmThe Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu Algorithm
 
Chebyshev Polynomial Based Numerical Inverse Laplace Transform Solutions of L...
Chebyshev Polynomial Based Numerical Inverse Laplace Transform Solutions of L...Chebyshev Polynomial Based Numerical Inverse Laplace Transform Solutions of L...
Chebyshev Polynomial Based Numerical Inverse Laplace Transform Solutions of L...
 
Presentation mathmatic 3
Presentation mathmatic 3Presentation mathmatic 3
Presentation mathmatic 3
 
2.3 Set difference
2.3 Set difference2.3 Set difference
2.3 Set difference
 

Destacado

Truth, deduction, computation lecture b
Truth, deduction, computation   lecture bTruth, deduction, computation   lecture b
Truth, deduction, computation lecture bVlad Patryshev
 
Directpurposefulexperiencesandbeyond 120713045550-phpapp01 (2)
Directpurposefulexperiencesandbeyond 120713045550-phpapp01 (2)Directpurposefulexperiencesandbeyond 120713045550-phpapp01 (2)
Directpurposefulexperiencesandbeyond 120713045550-phpapp01 (2)Rizelle Queen Decrito
 
Truth, deduction, computation lecture 8
Truth, deduction, computation   lecture 8Truth, deduction, computation   lecture 8
Truth, deduction, computation lecture 8Vlad Patryshev
 
Truth, deduction, computation lecture 9
Truth, deduction, computation   lecture 9Truth, deduction, computation   lecture 9
Truth, deduction, computation lecture 9Vlad Patryshev
 
What are tanks used for
What are tanks used forWhat are tanks used for
What are tanks used forTahunanui10
 
Trenches and barbwire
Trenches and barbwireTrenches and barbwire
Trenches and barbwireTahunanui10
 
Formal methods 2 - languages and machines
Formal methods   2 - languages and machinesFormal methods   2 - languages and machines
Formal methods 2 - languages and machinesVlad Patryshev
 
Formal methods 6 - elements of algebra
Formal methods   6 - elements of algebraFormal methods   6 - elements of algebra
Formal methods 6 - elements of algebraVlad Patryshev
 
Truth, deduction, computation lecture 7
Truth, deduction, computation   lecture 7Truth, deduction, computation   lecture 7
Truth, deduction, computation lecture 7Vlad Patryshev
 
Truth, deduction, computation; lecture 2
Truth, deduction, computation;   lecture 2Truth, deduction, computation;   lecture 2
Truth, deduction, computation; lecture 2Vlad Patryshev
 
Television Production Salary Report 2015
Television Production Salary Report 2015Television Production Salary Report 2015
Television Production Salary Report 2015Jacqui Moore
 
Formal methods 4 - Z notation
Formal methods   4 - Z notationFormal methods   4 - Z notation
Formal methods 4 - Z notationVlad Patryshev
 
Meilleures pratiques pour optimiser la performance sur les Reseaux Sociaux en...
Meilleures pratiques pour optimiser la performance sur les Reseaux Sociaux en...Meilleures pratiques pour optimiser la performance sur les Reseaux Sociaux en...
Meilleures pratiques pour optimiser la performance sur les Reseaux Sociaux en...RevSquare
 
Formal methods 7 - category theory
Formal methods   7 - category theoryFormal methods   7 - category theory
Formal methods 7 - category theoryVlad Patryshev
 

Destacado (19)

Truth, deduction, computation lecture b
Truth, deduction, computation   lecture bTruth, deduction, computation   lecture b
Truth, deduction, computation lecture b
 
The war kaylin
The war kaylinThe war kaylin
The war kaylin
 
Directpurposefulexperiencesandbeyond 120713045550-phpapp01 (2)
Directpurposefulexperiencesandbeyond 120713045550-phpapp01 (2)Directpurposefulexperiencesandbeyond 120713045550-phpapp01 (2)
Directpurposefulexperiencesandbeyond 120713045550-phpapp01 (2)
 
Truth, deduction, computation lecture 8
Truth, deduction, computation   lecture 8Truth, deduction, computation   lecture 8
Truth, deduction, computation lecture 8
 
Truth, deduction, computation lecture 9
Truth, deduction, computation   lecture 9Truth, deduction, computation   lecture 9
Truth, deduction, computation lecture 9
 
Ww2 tanks
Ww2 tanksWw2 tanks
Ww2 tanks
 
Nurses heloise
Nurses heloiseNurses heloise
Nurses heloise
 
What are tanks used for
What are tanks used forWhat are tanks used for
What are tanks used for
 
Trenches and barbwire
Trenches and barbwireTrenches and barbwire
Trenches and barbwire
 
The morepork
The moreporkThe morepork
The morepork
 
Formal methods 2 - languages and machines
Formal methods   2 - languages and machinesFormal methods   2 - languages and machines
Formal methods 2 - languages and machines
 
Formal methods 6 - elements of algebra
Formal methods   6 - elements of algebraFormal methods   6 - elements of algebra
Formal methods 6 - elements of algebra
 
Truth, deduction, computation lecture 7
Truth, deduction, computation   lecture 7Truth, deduction, computation   lecture 7
Truth, deduction, computation lecture 7
 
Truth, deduction, computation; lecture 2
Truth, deduction, computation;   lecture 2Truth, deduction, computation;   lecture 2
Truth, deduction, computation; lecture 2
 
Television Production Salary Report 2015
Television Production Salary Report 2015Television Production Salary Report 2015
Television Production Salary Report 2015
 
Huang
HuangHuang
Huang
 
Formal methods 4 - Z notation
Formal methods   4 - Z notationFormal methods   4 - Z notation
Formal methods 4 - Z notation
 
Meilleures pratiques pour optimiser la performance sur les Reseaux Sociaux en...
Meilleures pratiques pour optimiser la performance sur les Reseaux Sociaux en...Meilleures pratiques pour optimiser la performance sur les Reseaux Sociaux en...
Meilleures pratiques pour optimiser la performance sur les Reseaux Sociaux en...
 
Formal methods 7 - category theory
Formal methods   7 - category theoryFormal methods   7 - category theory
Formal methods 7 - category theory
 

Similar a Truth, deduction, computation lecture h

Lect1 No 873503264
Lect1 No 873503264Lect1 No 873503264
Lect1 No 873503264yangrong
 
20200911-XI-Maths-Sets-2 of 2-Ppt.pdf
20200911-XI-Maths-Sets-2 of 2-Ppt.pdf20200911-XI-Maths-Sets-2 of 2-Ppt.pdf
20200911-XI-Maths-Sets-2 of 2-Ppt.pdfMridulDhamija
 
Mathematics JEE quick revision notes pdf
Mathematics JEE quick revision notes pdfMathematics JEE quick revision notes pdf
Mathematics JEE quick revision notes pdfgowhiksankar54
 
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX SubgroupsPseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroupsmathsjournal
 
Theory of Relational Calculus and its Formalization
Theory of Relational Calculus and its FormalizationTheory of Relational Calculus and its Formalization
Theory of Relational Calculus and its FormalizationYoshihiro Mizoguchi
 
CMSC 56 | Lecture 6: Sets & Set Operations
CMSC 56 | Lecture 6: Sets & Set OperationsCMSC 56 | Lecture 6: Sets & Set Operations
CMSC 56 | Lecture 6: Sets & Set Operationsallyn joy calcaben
 
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX SubgroupsPseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroupsmathsjournal
 
SETS - Vedantu.pdf
SETS - Vedantu.pdfSETS - Vedantu.pdf
SETS - Vedantu.pdfAneeshRenu
 
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
 
Basic math including gradient
Basic math including gradientBasic math including gradient
Basic math including gradientRamesh Kesavan
 
Ch1 sets and_logic(1)
Ch1 sets and_logic(1)Ch1 sets and_logic(1)
Ch1 sets and_logic(1)Kwonpyo Ko
 

Similar a Truth, deduction, computation lecture h (20)

Sets.pdf
Sets.pdfSets.pdf
Sets.pdf
 
05 - Relations
05 - Relations05 - Relations
05 - Relations
 
Lect1 No 873503264
Lect1 No 873503264Lect1 No 873503264
Lect1 No 873503264
 
20200911-XI-Maths-Sets-2 of 2-Ppt.pdf
20200911-XI-Maths-Sets-2 of 2-Ppt.pdf20200911-XI-Maths-Sets-2 of 2-Ppt.pdf
20200911-XI-Maths-Sets-2 of 2-Ppt.pdf
 
Mathematics JEE quick revision notes pdf
Mathematics JEE quick revision notes pdfMathematics JEE quick revision notes pdf
Mathematics JEE quick revision notes pdf
 
2 homework
2 homework2 homework
2 homework
 
04-Sets-Relations-A.pdf
04-Sets-Relations-A.pdf04-Sets-Relations-A.pdf
04-Sets-Relations-A.pdf
 
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX SubgroupsPseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
 
Theory of Relational Calculus and its Formalization
Theory of Relational Calculus and its FormalizationTheory of Relational Calculus and its Formalization
Theory of Relational Calculus and its Formalization
 
CMSC 56 | Lecture 6: Sets & Set Operations
CMSC 56 | Lecture 6: Sets & Set OperationsCMSC 56 | Lecture 6: Sets & Set Operations
CMSC 56 | Lecture 6: Sets & Set Operations
 
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX SubgroupsPseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
 
04 - Sets
04 - Sets04 - Sets
04 - Sets
 
Tema Numeros Reales
Tema Numeros RealesTema Numeros Reales
Tema Numeros Reales
 
SETS - Vedantu.pdf
SETS - Vedantu.pdfSETS - Vedantu.pdf
SETS - Vedantu.pdf
 
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
 
Basic math including gradient
Basic math including gradientBasic math including gradient
Basic math including gradient
 
Per1 himpunan&amp;fungsiumn
Per1 himpunan&amp;fungsiumnPer1 himpunan&amp;fungsiumn
Per1 himpunan&amp;fungsiumn
 
Sets (1).ppt
Sets (1).pptSets (1).ppt
Sets (1).ppt
 
Ch1 sets and_logic(1)
Ch1 sets and_logic(1)Ch1 sets and_logic(1)
Ch1 sets and_logic(1)
 
RELATION
RELATIONRELATION
RELATION
 

Más de Vlad Patryshev

Formal methods 8 - category theory (last one)
Formal methods   8 - category theory (last one)Formal methods   8 - category theory (last one)
Formal methods 8 - category theory (last one)Vlad Patryshev
 
Formal methods 5 - Pi calculus
Formal methods   5 - Pi calculusFormal methods   5 - Pi calculus
Formal methods 5 - Pi calculusVlad Patryshev
 
Formal methods 3 - languages and machines
Formal methods   3 - languages and machinesFormal methods   3 - languages and machines
Formal methods 3 - languages and machinesVlad Patryshev
 
Formal methods 1 - introduction
Formal methods   1 - introductionFormal methods   1 - introduction
Formal methods 1 - introductionVlad Patryshev
 
Truth, deduction, computation lecture g
Truth, deduction, computation   lecture gTruth, deduction, computation   lecture g
Truth, deduction, computation lecture gVlad Patryshev
 
Truth, deduction, computation lecture f
Truth, deduction, computation   lecture fTruth, deduction, computation   lecture f
Truth, deduction, computation lecture fVlad Patryshev
 
Truth, deduction, computation lecture e
Truth, deduction, computation   lecture eTruth, deduction, computation   lecture e
Truth, deduction, computation lecture eVlad Patryshev
 
Truth, deduction, computation lecture d
Truth, deduction, computation   lecture dTruth, deduction, computation   lecture d
Truth, deduction, computation lecture dVlad Patryshev
 
Truth, deduction, computation lecture c
Truth, deduction, computation   lecture cTruth, deduction, computation   lecture c
Truth, deduction, computation lecture cVlad Patryshev
 
Truth, deduction, computation lecture a
Truth, deduction, computation   lecture aTruth, deduction, computation   lecture a
Truth, deduction, computation lecture aVlad Patryshev
 
Truth, deduction, computation lecture 6
Truth, deduction, computation   lecture 6Truth, deduction, computation   lecture 6
Truth, deduction, computation lecture 6Vlad Patryshev
 
Truth, deduction, computation; lecture 5
Truth, deduction, computation;  lecture 5Truth, deduction, computation;  lecture 5
Truth, deduction, computation; lecture 5Vlad Patryshev
 
Truth, deduction, computation; lecture 4
Truth, deduction, computation;  lecture 4Truth, deduction, computation;  lecture 4
Truth, deduction, computation; lecture 4Vlad Patryshev
 
Truth, deduction, computation; lecture 3
Truth, deduction, computation;  lecture 3Truth, deduction, computation;  lecture 3
Truth, deduction, computation; lecture 3Vlad Patryshev
 
Truth, deduction, computation; lecture 1
Truth, deduction, computation;   lecture 1Truth, deduction, computation;   lecture 1
Truth, deduction, computation; lecture 1Vlad Patryshev
 

Más de Vlad Patryshev (20)

Formal methods 8 - category theory (last one)
Formal methods   8 - category theory (last one)Formal methods   8 - category theory (last one)
Formal methods 8 - category theory (last one)
 
Formal methods 5 - Pi calculus
Formal methods   5 - Pi calculusFormal methods   5 - Pi calculus
Formal methods 5 - Pi calculus
 
Formal methods 3 - languages and machines
Formal methods   3 - languages and machinesFormal methods   3 - languages and machines
Formal methods 3 - languages and machines
 
Formal methods 1 - introduction
Formal methods   1 - introductionFormal methods   1 - introduction
Formal methods 1 - introduction
 
Truth, deduction, computation lecture g
Truth, deduction, computation   lecture gTruth, deduction, computation   lecture g
Truth, deduction, computation lecture g
 
Truth, deduction, computation lecture f
Truth, deduction, computation   lecture fTruth, deduction, computation   lecture f
Truth, deduction, computation lecture f
 
Truth, deduction, computation lecture e
Truth, deduction, computation   lecture eTruth, deduction, computation   lecture e
Truth, deduction, computation lecture e
 
Truth, deduction, computation lecture d
Truth, deduction, computation   lecture dTruth, deduction, computation   lecture d
Truth, deduction, computation lecture d
 
Truth, deduction, computation lecture c
Truth, deduction, computation   lecture cTruth, deduction, computation   lecture c
Truth, deduction, computation lecture c
 
Truth, deduction, computation lecture a
Truth, deduction, computation   lecture aTruth, deduction, computation   lecture a
Truth, deduction, computation lecture a
 
Truth, deduction, computation lecture 6
Truth, deduction, computation   lecture 6Truth, deduction, computation   lecture 6
Truth, deduction, computation lecture 6
 
Truth, deduction, computation; lecture 5
Truth, deduction, computation;  lecture 5Truth, deduction, computation;  lecture 5
Truth, deduction, computation; lecture 5
 
Truth, deduction, computation; lecture 4
Truth, deduction, computation;  lecture 4Truth, deduction, computation;  lecture 4
Truth, deduction, computation; lecture 4
 
Truth, deduction, computation; lecture 3
Truth, deduction, computation;  lecture 3Truth, deduction, computation;  lecture 3
Truth, deduction, computation; lecture 3
 
Truth, deduction, computation; lecture 1
Truth, deduction, computation;   lecture 1Truth, deduction, computation;   lecture 1
Truth, deduction, computation; lecture 1
 
Woo
WooWoo
Woo
 
Pathela m
Pathela mPathela m
Pathela m
 
Nguyenmaria
NguyenmariaNguyenmaria
Nguyenmaria
 
K usatine
K usatineK usatine
K usatine
 
Kevin liu
Kevin liuKevin liu
Kevin liu
 

Último

Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataBabyAnnMotar
 
Narcotic and Non Narcotic Analgesic..pdf
Narcotic and Non Narcotic Analgesic..pdfNarcotic and Non Narcotic Analgesic..pdf
Narcotic and Non Narcotic Analgesic..pdfPrerana Jadhav
 
week 1 cookery 8 fourth - quarter .pptx
week 1 cookery 8  fourth  -  quarter .pptxweek 1 cookery 8  fourth  -  quarter .pptx
week 1 cookery 8 fourth - quarter .pptxJonalynLegaspi2
 
Congestive Cardiac Failure..presentation
Congestive Cardiac Failure..presentationCongestive Cardiac Failure..presentation
Congestive Cardiac Failure..presentationdeepaannamalai16
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 
Reading and Writing Skills 11 quarter 4 melc 1
Reading and Writing Skills 11 quarter 4 melc 1Reading and Writing Skills 11 quarter 4 melc 1
Reading and Writing Skills 11 quarter 4 melc 1GloryAnnCastre1
 
4.11.24 Mass Incarceration and the New Jim Crow.pptx
4.11.24 Mass Incarceration and the New Jim Crow.pptx4.11.24 Mass Incarceration and the New Jim Crow.pptx
4.11.24 Mass Incarceration and the New Jim Crow.pptxmary850239
 
MS4 level being good citizen -imperative- (1) (1).pdf
MS4 level   being good citizen -imperative- (1) (1).pdfMS4 level   being good citizen -imperative- (1) (1).pdf
MS4 level being good citizen -imperative- (1) (1).pdfMr Bounab Samir
 
Blowin' in the Wind of Caste_ Bob Dylan's Song as a Catalyst for Social Justi...
Blowin' in the Wind of Caste_ Bob Dylan's Song as a Catalyst for Social Justi...Blowin' in the Wind of Caste_ Bob Dylan's Song as a Catalyst for Social Justi...
Blowin' in the Wind of Caste_ Bob Dylan's Song as a Catalyst for Social Justi...DhatriParmar
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxVanesaIglesias10
 
ESP 4-EDITED.pdfmmcncncncmcmmnmnmncnmncmnnjvnnv
ESP 4-EDITED.pdfmmcncncncmcmmnmnmncnmncmnnjvnnvESP 4-EDITED.pdfmmcncncncmcmmnmnmncnmncmnnjvnnv
ESP 4-EDITED.pdfmmcncncncmcmmnmnmncnmncmnnjvnnvRicaMaeCastro1
 
Textual Evidence in Reading and Writing of SHS
Textual Evidence in Reading and Writing of SHSTextual Evidence in Reading and Writing of SHS
Textual Evidence in Reading and Writing of SHSMae Pangan
 
How to Fix XML SyntaxError in Odoo the 17
How to Fix XML SyntaxError in Odoo the 17How to Fix XML SyntaxError in Odoo the 17
How to Fix XML SyntaxError in Odoo the 17Celine George
 
Team Lead Succeed – Helping you and your team achieve high-performance teamwo...
Team Lead Succeed – Helping you and your team achieve high-performance teamwo...Team Lead Succeed – Helping you and your team achieve high-performance teamwo...
Team Lead Succeed – Helping you and your team achieve high-performance teamwo...Association for Project Management
 
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...Nguyen Thanh Tu Collection
 
Q-Factor General Quiz-7th April 2024, Quiz Club NITW
Q-Factor General Quiz-7th April 2024, Quiz Club NITWQ-Factor General Quiz-7th April 2024, Quiz Club NITW
Q-Factor General Quiz-7th April 2024, Quiz Club NITWQuiz Club NITW
 

Último (20)

Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped data
 
Narcotic and Non Narcotic Analgesic..pdf
Narcotic and Non Narcotic Analgesic..pdfNarcotic and Non Narcotic Analgesic..pdf
Narcotic and Non Narcotic Analgesic..pdf
 
week 1 cookery 8 fourth - quarter .pptx
week 1 cookery 8  fourth  -  quarter .pptxweek 1 cookery 8  fourth  -  quarter .pptx
week 1 cookery 8 fourth - quarter .pptx
 
Congestive Cardiac Failure..presentation
Congestive Cardiac Failure..presentationCongestive Cardiac Failure..presentation
Congestive Cardiac Failure..presentation
 
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptxINCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 
Reading and Writing Skills 11 quarter 4 melc 1
Reading and Writing Skills 11 quarter 4 melc 1Reading and Writing Skills 11 quarter 4 melc 1
Reading and Writing Skills 11 quarter 4 melc 1
 
4.11.24 Mass Incarceration and the New Jim Crow.pptx
4.11.24 Mass Incarceration and the New Jim Crow.pptx4.11.24 Mass Incarceration and the New Jim Crow.pptx
4.11.24 Mass Incarceration and the New Jim Crow.pptx
 
MS4 level being good citizen -imperative- (1) (1).pdf
MS4 level   being good citizen -imperative- (1) (1).pdfMS4 level   being good citizen -imperative- (1) (1).pdf
MS4 level being good citizen -imperative- (1) (1).pdf
 
Blowin' in the Wind of Caste_ Bob Dylan's Song as a Catalyst for Social Justi...
Blowin' in the Wind of Caste_ Bob Dylan's Song as a Catalyst for Social Justi...Blowin' in the Wind of Caste_ Bob Dylan's Song as a Catalyst for Social Justi...
Blowin' in the Wind of Caste_ Bob Dylan's Song as a Catalyst for Social Justi...
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptx
 
ESP 4-EDITED.pdfmmcncncncmcmmnmnmncnmncmnnjvnnv
ESP 4-EDITED.pdfmmcncncncmcmmnmnmncnmncmnnjvnnvESP 4-EDITED.pdfmmcncncncmcmmnmnmncnmncmnnjvnnv
ESP 4-EDITED.pdfmmcncncncmcmmnmnmncnmncmnnjvnnv
 
Textual Evidence in Reading and Writing of SHS
Textual Evidence in Reading and Writing of SHSTextual Evidence in Reading and Writing of SHS
Textual Evidence in Reading and Writing of SHS
 
How to Fix XML SyntaxError in Odoo the 17
How to Fix XML SyntaxError in Odoo the 17How to Fix XML SyntaxError in Odoo the 17
How to Fix XML SyntaxError in Odoo the 17
 
Team Lead Succeed – Helping you and your team achieve high-performance teamwo...
Team Lead Succeed – Helping you and your team achieve high-performance teamwo...Team Lead Succeed – Helping you and your team achieve high-performance teamwo...
Team Lead Succeed – Helping you and your team achieve high-performance teamwo...
 
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
 
Paradigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTAParadigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTA
 
Q-Factor General Quiz-7th April 2024, Quiz Club NITW
Q-Factor General Quiz-7th April 2024, Quiz Club NITWQ-Factor General Quiz-7th April 2024, Quiz Club NITW
Q-Factor General Quiz-7th April 2024, Quiz Club NITW
 

Truth, deduction, computation lecture h

  • 1. Truth, Deduction, Computation Lecture H Set Theory, Informally Vlad Patryshev SCU 2013
  • 2. Sets, Informally 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. a ∈ A : a is an element of A a ∉ A ≡ ¬(a∈A) empty set ∅ ≡ ¬∃x (x∈∅) A ⊂ B ≡ ∀x ((x∈A)→(x∈B)) A ⊄ B ≡ ¬(A⊂B) {a,b,c…} : a set consisting of a,b,c… {x∈A | P(x)} : set comprehension (like in Python) A ∩ B = {x | (x∈A) ∧ (x∈B)} A ∪ B = {x | (x∈A) ∨ (x∈B)} A B = {x | (x∈A) ∧ ¬(x∈B)} Do we have two monoids? powerset P(A) ≡ {B | B ⊂ A} e.g. P(∅)={∅}; P(P(∅)={∅,{∅}}
  • 3. Examples of Sets 1. 2. 3. 4. 5. 6. 7. empty set ∅ - size 0 finite sets e.g. {∅, {∅, {∅}}, {{∅}}} set of natural numbers ℕ - size ℵ0 set of integer numbers ℤ - size ℵ0 set of rational numbers ℚ - size ℵ0 set of real numbers ℝ - size ℵ1 set of complex numbers ℂ - size ℵ1
  • 4. Sets Equality A=B ≡ ∀x ((x∈A) ↔ (x∈B)) ● {a,b} = {b,a} ● {a,a,a} = {a} ● A = B iff {A} = {B} iff {{A}} = {{B}}
  • 5. Powerset P(A) aka 2A ≡ {x|x⊂A} ● 2∅ ={∅} ● 2{a,b} = {∅,{a},{b},{a,b}} ● 2A ∪ B = 2 A × 2A
  • 6. Natural Numbers in Sets ∅, {∅}, {{∅}}, {{{∅}}}, etc… Meaning, 0≡∅; S(n)≡{n}. Just count the curlies. Or, better, ∅, {∅}, {∅, {∅}}, {∅, {∅}, {{∅}}} Where’s Universal Property? Oops, something’s missing. But first, introduce pairs.
  • 7. Define Pair (a,b), for a and b of any nature. No, {a,b} won’t work, it’s the same as {b,a} How about {a,{a,b}}? Almost there… do you see the problem? Will fix it later.
  • 8. Have Pairs, define Relationships A × B ≡ {(a,b) | (a∈A)∧(b∈B)} ● A × ∅ = ∅ ● A × (B∪C) = (A×B) ∪ (A×C) ● {a,b} × {x,y} = {(a,x),(a,y),(b,x),(b,y)} Do you see a monoid?
  • 9. Kinds of Binary Relationships R ⊂ A × B ● ● ● ● ● ● ● ● xRy ≡ (x,y)∈R reflexive: ∀x (xRx) symmetric: ∀x∀y (xRy → yRx) antisymmetric: ∀x∀y ¬(xRy ∧ yRx) transitive: ∀x∀y∀z ((xRy ∧ yRz) → xRz) equivalence: reflexive, symmetric, transitive partial order: antisymmetric, reflexive functional: ∀x ∃!y (xRy)
  • 10. Infinities A set is infinite if it is in bijection with its proper subset ● ● ● ● ● ● ● finite: in bijection with a natural number ({∅, {∅}, {{∅}}...}) ℵ0 - in bijection with ℕ ℵ1 - in bijection with 2ℕ, which is in bijection with ℵ2 = 2ℵ1 etc, ℵk+1 = 2ℵk ℵx= ∪ {ℵy| y < x} ℵ = the power of all sets; ℵ=2ℵ (?!) Good Reading on Aleph ℝ
  • 11. Many Definitions, Many Paradoxes ● Are there as many natural numbers as their squares? ● Points of a square vs points on the edge of the square same amount?! ● The diary of Tristram Shandy problem ● Ross-Littlewood-Achilles (take 1 ball, add 10, each time twice faster) ● Russell paradox ● König's paradox (the first real number not finitely defineable) ● etc