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Chapter 2

2.1 - Set Theory

Definition (Primitive term)

Primitive term is a term without a formal def

Definition (Axiom)

Result or idea we accept without formal proof

axiom (1)

There is a set

axiom (2)

For every object xx and set SS, we can determine if xx is an element of SS or not.

Definition (Containment)

Let AA and BB be sets. Then, AA is contained in BB, written A⊆BA \subseteq B iff ∀x∈A,x∈B\forall x \in A, x \in B. Otherwise, we write A⊈BA \not\subseteq B.

Example

Consider the following model:

  1. The objects under consideration are the first five lowercase letters of the alphabet.
  2. There is a set S={a,b,c,d,e}S = \{ a, b, c, d, e \}.

This model satisfies Axioms 1 & 2

(Figure 2.2 in the book)

Example

Consider the following model:

  1. The objects under consideration are the first six lowercase letters of the alphabet.
  2. There is a set S={a,b,c,d,e}S = \{ a, b, c, d, e \}.

This model satisfies Axioms 1 & 2

(Figure 2.2 in the book)

2.2 - Axiom of Specification

axiom (Axiom of Specification)

If SS is a set and p(∙)p(\bullet) is an open sentence for the elements of SS, then the collection of all elements x∈Sx \in S that satisfy p(x)p(x) is a set, too.

Proposition (Empty Set)

There is a set that contains no elements.

Proof (by construction)

By A1, we know a set SS exists. We also know that the open sentence p(x)=[x∈S∧x∉S]p(x) = [x \in S \land x \not\in S] is false for all objects.

By A3, the collection B={x:p(x)}B = \{ x : p(x) \} of all elements xx that satisfy p(x)p(x) is a set also. Since p(x)p(x) is false ∀x∈S\forall x \in S, BB has no elements.

□\square

Definition (Empty Set)

We call the set having no elements the empty set. Denoted as ∅\emptyset.

Definition ()

A set S\mathcal{S} whose elements are sets too is called a family of sets.

Proposition (Intersection)

Let C\mathcal{C} be a non-empty family of sets. Then there is a set I\mathcal{I} so that an object x∈Ix \in \mathcal{I} iff ∀c∈C\forall c \in \mathcal{C} we have that x∈Cx \in \mathcal{C}.

Proof (by construction)

Let C\mathcal{C} be a family of sets. ∀C∈C\forall C \in \mathcal{C}, x∈Cx \in C is an open sentence for the elements of C\mathcal{C}. Let C0C_0 be an arbitrary set in C\mathcal{C}. By the axiom of specification, I={x∈C0:∀C∈C,x∈C}\mathcal{I} = \{ x \in C_0 : \forall C \in \mathcal{C}, x \in C \} is a set and it contains the elements that are in every set C∈CC \in \mathcal{C}.

□\square

Definition (Intersection)

Let C\mathcal{C} be a family of sets. The set of elements xx so that x∈C∀C∈Cx \in C \forall C \in \mathcal{C} is called the intersection of C\mathcal{C} and is denoted ⋂C\bigcap \mathcal{C}.

If AA and BB are sets, their intersection is written A∩BA \cap B.

Proposition

Let C\mathcal{C} be a family of sets and C∈CC \in \mathcal{C}. Then ⋂C⊆C\bigcap \mathcal{C} \subseteq C.

Definition (disjoint)

Let C\mathcal{C} be a family of sets. If ⋂C=∅\bigcap \mathcal{C} = \emptyset, then the family of sets is called disjoint.

Example

Let C={A,B,C}\mathcal{C} = \{A, B, C\} where A={1,2}A = \{1, 2\}, B={2,3,4}B = \{2, 3, 4\}, C={3,4,5}C = \{3, 4, 5\}

  1. A∩B={2}A \cap B = \{ 2 \}
  2. B∩C={3,4}B \cap C = \{ 3, 4 \}
  3. ⋂C=∅\bigcap \mathcal{C} = \emptyset

Proposition

Let AA and BB be sets. Then there is a set that contains all elements of AA that are not in BB.

Proof (by construction)

Let AA and BB be sets. Let p(x)={x∈A∧x∉B}p(x) = \{ x \in A \land x \not\in B \} be an open sentence for the elements of AA. Then the set of elements of AA that are not in BB exists and is {x∈A:x∉B}\{ x \in A : x \not\in B\}.

□\square

Definition (Relative Compliment)

Let AA and BB be sets. Then we call the relative compliment, or compliment of BB in AA, the set A∖B={x∈A:x∉B}A \setminus B = \{x \in A : x \not\in B\}.

2.3 -- Axiom of Extension

axiom (Axiom of Extension)

Two sets are equal iff they have the same elements. That is if AA, BB are sets, A=B  ⟺  ∀x,x∈A  ⟺  x∈BA = B \iff \forall x, x \in A \iff x \in B

sidenote (def of containment)

A⊆BA \subseteq B iff x∈A  ⟹  x∈Bx \in A \implies x \in B

Theorem

A=B  ⟺  A⊆B∧B⊆AA = B \iff A \subseteq B \land B \subseteq A

Proof

(  ⟹  \implies) Suppose A=BA = B. Then, by definition, x∈A  ⟹  x∈Bx \in A \implies x \in B and x∈B  ⟹  x∈Ax \in B \implies x \in A.

Then by definition of subsets, A⊆BA \subseteq B and B⊆AB \subseteq A.

(  ⟸  \impliedby) Suppose A⊆B∧B⊆AA \subseteq B \land B \subseteq A. Let x∈Ax \in A be an arbitrary but fixed. Since A⊆BA \subseteq B, we have x∈Bx \in B, thus x∈A  ⟹  x∈Bx \in A \implies x \in B. Now, let x∈Bx \in B be arbitrary but fixed. Since B⊆AB \subseteq A, x∈Ax \in A, thus x∈B  ⟹  x∈Ax \in B \implies x \in A. Therefore, x∈A  ⟺  x∈Bx \in A \iff x \in B and by definition, A=BA = B.
□\square

This tells us that we can use mutual containment, A∈B∧B∈A  ⟹  A=BA \in B \land B \in A \implies A = B, to prove equality.

Theorem

A∩B=B∩AA \cap B = B \cap A

Proof (by mutual containment)

  1. Prove A∩B⊆B∩AA \cap B \subseteq B \cap A

Let x∈A∩Bx \in A \cap B be arbitrary but fixed.
Then x∈A∧x∈Bx \in A \land x \in B.
Thus, x∈B∧x∈Ax \in B \land x \in A.
Therefore, x∈B∩Ax \in B \cap A and A∩B⊆B∩AA \cap B \subseteq B \cap A.

  1. Prove B∩A⊆A∩BB \cap A \subseteq A \cap B

Let x∈B∩Ax \in B \cap A be arbitrary but fixed.
  ⟹  x∈B∧x∈A\implies x \in B \land x \in A.
  ⟹  x∈A∧x∈B\implies x \in A \land x \in B.
  ⟹  x∈A∩B\implies x \in A \cap B
  ⟹  B∩A⊆A∩B\implies B \cap A \subseteq A \cap B.

Thus, by M.C., A∩B=B∩AA \cap B = B \cap A.
□\square

Theorem

Let A,B,CA, B, C be sets, then A∩(B∩C)=(A∩B)∩CA \cap (B \cap C) = (A \cap B) \cap C.

Prove as exercise.

Theorem

Let A,BA, B be sets. Then A⊆B  ⟺  A∩B=AA \subseteq B \iff A \cap B = A.

(  ⟹  \implies) Let A⊆BA \subseteq B. To show A∩B=AA \cap B = A, we will use mutual containment.

Let x∈A∩Bx \in A \cap B be ABF. By def, x∈Ax \in A, thus A∩B⊆AA \cap B \subseteq A.

Let x∈Ax \in A be ABF. Since A⊆BA \subseteq B, x∈Bx \in B. As x∈A∧x∈Bx \in A \land x \in B, x∈A∩Bx \in A \cap B and A⊆A∩BA \subseteq A \cap B. Thus, A∩B=AA \cap B = A.

(  ⟸  \impliedby) Let A∩B=AA \cap B = A. Let x∈Ax \in A be ABF. Since A=A∩BA = A \cap B, x∈A∩Bx \in A \cap B. Then, x∈A∧x∈Bx \in A \land x \in B. Thus, x∈Bx \in B and A⊆BA \subseteq B. Therefore, A⊆B  ⟺  A∩B=AA \subseteq B \iff A \cap B = A
□\square

Theorem

A∖(A∖B)=A∩BA \setminus (A \setminus B) = A \cap B

Proof

Let x∈A∖(A∖B)x \in A \setminus (A \setminus B) be ABF.
  ⟹  x∈A∧x∉A∖B\implies x \in A \land x \not\in A \setminus B
  ⟹  x∈A∧¬[x∈A∧x∉B]\implies x \in A \land \neg [x \in A \land x \not\in B]   ⟹  x∈A∧[x∉A⏟false∧x∈B]\implies x \in A \land [\underbrace{x \not\in A}_\text{false} \land x \in B]
  ⟹  x∈A∧x∈B\implies x \in A \land x \in B
  ⟹  x∈A∩B\implies x \in A \cap B
Thus, A∖(A∖B)⊆A∩BA \setminus (A \setminus B) \subseteq A \cap B.

Let x∈A∩Bx \in A \cap B be ABF.
  ⟹  x∈A∧x∈B\implies x \in A \land x \in B
  ⟹  x∈A∧[x∉A⏟false∧x∈B]\implies x \in A \land [\underbrace{x \not\in A}_\text{false} \land x \in B]
  ⟹  x∈A∧¬[x∈A∧x∉B]\implies x \in A \land \neg [x \in A \land x \not\in B]   ⟹  x∈A∧x∉A∖B\implies x \in A \land x \not\in A \setminus B
Thus, x∈A∖(A∖B)x \in A \setminus (A \setminus B).
□\square

2.4 -- Axiom of Unions

For every family C\mathcal{C} of sets, there exists a set whose elements are all elements that belong to at least one element of the family denoted ⋃C\bigcup \mathcal{C} or A∪BA \cup B

Proposition

let C\mathcal{C} be a family of sets and C∈CC \in \mathcal{C}. Then C is a subset of ⋃C\bigcup \mathcal{C}.

Proof

Let x∈Cx \in C be ABF. By the axiom of unions, x∈⋃Cx \in \bigcup \mathcal{C}. Thus, C⊆⋃CC \subseteq \bigcup \mathcal{C}.
□\square

Theorem

A∪B=B∪AA \cup B = B \cup A

% TODO: FINISH NOTES FROM NOTEPAD

Theorem (DeMorgan's Laws)

  1. A∖(B∪C)=(A∖B)∩(A∖C)A \setminus (B \cup C) = (A \setminus B) \cap (A \setminus C)

Proof (algebraic)

A∖(B∪C)={x:x∈A∖(B∪C)}={x:x∈A∧x∉(B∪C)}={x:x∈A∧x∉B∧x∉C}={x:(x∈A∧x∈A)∧x∉B∧x∉C}={x:(x∈A∧x∉B)∧(x∈A∧x∉C)}={x:x∈(A∖B)∧x∈(A∖C)}={x:x∈((A∖B)∩(A∖C))} \begin{align} A \setminus (B \cup C) &= \{ x : x \in A \setminus (B \cup C) \} \\ &= \{ x : x \in A \land x \not\in (B \cup C) \} \\ &= \{ x : x \in A \land x \not\in B \land x \not\in C \} \\ &= \{ x : (x \in A \land x \in A) \land x \not\in B \land x \not\in C \} \\ &= \{ x : (x \in A \land x \not\in B) \land (x \in A \land x \not\in C) \} \\ &= \{ x : x \in (A \setminus B) \land x \in (A \setminus C) \} \\ &= \{ x : x \in ((A \setminus B) \cap (A \setminus C)) \} \end{align} □\square

  1. A∖(B∩C)=(A∖B)∪(A∖C)A \setminus (B \cap C) = (A \setminus B) \cup (A \setminus C)

Definition (Symmetric Difference)

The symmetric difference A△B=(A∖B)∪(B∖A)A \triangle B = (A \setminus B) \cup (B \setminus A)

ex: Prove A△B=(A∪B)∖(A∩B)A \triangle B = (A \cup B) \setminus (A \cap B)

2.5 -- Axiom of Powers; Relations and Functions

axiom (Axiom of powers)

For every set SS, there exists a set P(S)\mathcal{P}(S) called the "power set" of SS whose elements are all subsets of SS.

Example

Let S={a,b}S = \{a, b\}

P(S)={∅,{a},{b},{a,b}}\mathcal{P}(S) = \{\emptyset, \{a\}, \{b\}, \{a, b\}\}

Let S=∅S = \emptyset

P(S)={∅}\mathcal{P}(S) = \{\emptyset\}

If ∣S∣=n|S| = n, then ∣P(S)∣=2n|\mathcal{P}(S)| = 2^n

Theorem

Let {a,b}\{a, b\} and {c,d}\{c, d\} be sets with one or two elements (aa can be equal to bb). Then {{a},{a,b}}={{c},{c,d}}\{\{a\}, \{a, b\}\} = \{\{c\}, \{c, d\}\} holds iff a=ca = c and b=db = d.

Proof

(  ⟸  \impliedby) Suppose a=ca = c and b=db = d. Then {{a},{a,b}}={{c},{c,d}}\{\{a\}, \{a, b\}\} = \{\{c\}, \{c, d\}\}.

(  ⟹  \implies) Suppose {{a},{a,b}}={{c},{c,d}}\{\{a\}, \{a, b\}\} = \{\{c\}, \{c, d\}\}. By the axiom of extension, they have exactly the same elements. Then we have two disjoint cases.

  1. {a}={c,d}\{ a \} = \{ c, d \}. By the axiom of extension, a=c=da = c = d. This implies {{c}}={{c},{c,d}}={{a},{a,b}}  ⟹  c=a=b\{ \{ c \} \} = \{ \{ c \}, \{ c, d \} \} = \{ \{ a \}, \{ a, b \} \} \implies c = a = b Thus, a=b=c=da = b = c = d, i.e. a=c∧b=da = c \land b = d.

  2. {a}≠{c,d}\{a\} \neq \{c,d\}. Then, {a}={c}\{ a \} = \{ c \}. Then, a=ca = c. Since {{a},{a,b}}={{c},{c,d}}\{ \{ a \}, \{a,b\}\} = \{ \{ c \}, \{ c, d \} \} and {a}≠{c,d}\{a\} \neq \{c,d\}, we have {a,b}={c,d}\{a,b\} = \{c,d\}. c≠dc \neq d, therefore b=db = d. Thus, a=c∧b=da = c \land b = d.

□\square

Definition (Ordered Pair)

Let AA and BB be sets with a∈A∧b∈Ba \in A \land b \in B. Then the ordered pair (a,b)={{a},{a,b}}(a, b) = \{ \{a\}, \{a, b\} \}

Definition (Cartesian Product)

Let AA, BB be sets. The Cartesian product is defined as A×B={(a,b):a∈A∧b∈B}A \times B = \{ (a, b) : a \in A \land b \in B \}

Definition

A subset ~⊆A×B\char`~ \subseteq A \times B is also called a relation from AA to BB.

Example

A={a,b,c}B={1,2,3}A×B={(a,1),(a,2),(a,3),(b,1),(b,2),(b,3),(c,1),(c,2),(c,3)} \begin{align} A &= \{a, b, c\} \\ B &= \{1, 2, 3\} \\ A \times B &= \{(a,1), (a,2), (a,3), (b,1), (b,2), (b,3), (c,1), (c,2), (c,3)\} \\ \end{align}

notation

If an element, say (a,1)∈∼(a, 1) \in \sim, we write a∼1a \sim 1. If an element, say (b,1)∉∼(b, 1) \not\in \sim, we write b≁1b \not\sim 1. We also write the relation as ∼:A→B\sim: A \to B.

Definition (Domain, Range)

Let ∼:A→B\sim: A \to B be a relation.

Domain: dom(∼)={a∈A:∃b∈B:a∼b}dom(\sim) = \{ a \in A: \exists b \in B : a \sim b \}
Range: rng(∼)={b∈B:∃a∈A:a∼b}rng(\sim) = \{ b \in B: \exists a \in A : a \sim b \}

Example

A={1,2,3,4}A = \{ 1, 2, 3, 4 \}
B={2,5,6,7}B = \{ 2, 5, 6, 7 \}
let ∼:{(1,2),(2,2),(3,5)}\sim: \{(1, 2), (2, 2), (3, 5)\}
dom(∼)={1,2,3}dom(\sim) = \{ 1, 2, 3 \}
rng(∼)={2,5}rng(\sim) = \{ 2, 5 \}

Example

Let ∼\sim be <<. This is a relation.

If a<ba < b, then a∼ba \sim b, i.e. (a,b)∈∼(a, b) \in \sim

A={1,2,8,9}A = \{ 1, 2, 8, 9 \}
B={2,5,1,10}B = \{ 2, 5, 1, 10 \}
∼:{(1,2),(1,5),(1,10),(2,5),(2,10),(8,10),(9,10)}\sim: \{ (1, 2), (1, 5), (1, 10), (2, 5), (2, 10), (8, 10), (9, 10) \}

Definition

Let AA and BB be sets and f:A→Bf : A \to B be a relation from AA to BB. Then ff is a function iff the following hold:

Functions are also called mappings.

We also write f(a)=bf(a) = b if (a,b)∈f(a, b) \in f.

Definition

Let AA, BB be sets and f:A→Bf: A \to B be a function.

  1. ff is injective iff ∀x,y∈A:x≠y  ⟹  f(x)≠f(y)\forall x, y \in A: x \neq y \implies f(x) \neq f(y)
  2. ff is surjective iff ∀y∈B∃x∈A:f(x)=y\forall y \in B \exists x \in A : f(x) = y

If a function is both injective AND surjective, then it is called bijective.

Proposition

Let AA, BB be sets. Let f:A→Bf: A \to B be a function. Then ff is injective iff ∀x,y∈A\forall x, y \in A we have that f(x)=f(y)  ⟹  x=yf(x) = f(y) \implies x = y.

Example

Let f:R∖{2}→R:f(x)=4x+3x−2f: \R \setminus \{ 2 \} \to \R : f(x) = \frac{4x + 3}{x-2} (we'll pretend R\R exists)

Prove it is injective:

Let f(x)=f(y)f(x) = f(y) : 4x+3x−2=4y+3y−2\frac{4x+3}{x-2} = \frac{4y+3}{y-2} (4x+3)(y−2)=(4y+3)(x−2)4xy−8x+3y−6=4xy−8y+3x−68x+3y=8y+3x11y=11xy=x \begin{align} (4x+3)(y-2) &= (4y+3)(x-2) \\ 4xy - 8x + 3y - 6 &= 4xy - 8y + 3x - 6 \\ 8x + 3y &= 8y + 3x \\ 11y &= 11x \\ y &= x \\ \end{align}

Definition

Let AA, BB, CC be sets and g:A→B∧f:B→Cg : A \to B \land f: B \to C be functions. The composition is defined:
f∘g={(a,c)∈A×C:[∃b∈B:g(a)=b∧f(b)=c]} f \circ g = \{ (a, c) \in A \times C : [ \exists b \in B : g(a) = b \land f(b) = c ] \}

f∘g=f(g(a))=f(b)=c f \circ g = f(g(a)) = f(b) = c

Example

A={a,b,c,d}B={α,β,γ,ω}C={1,2,3}g={(a,β),(b,ω),(c,γ),(d,α)}:A→Bf={(α,3),(β,1),(γ,3),(ω,2)}:B→Cf∘g={(a,1),(b,2),(c,3),(d,3)} \begin{align} A &= \{ a, b, c, d \} \\ B &= \{ \alpha, \beta, \gamma, \omega \} \\ C &= \{ 1, 2, 3 \} \\ g &= \{(a, \beta), (b, \omega), (c, \gamma), (d, \alpha)\}: A \to B \\ f &= \{ (\alpha, 3), (\beta, 1), (\gamma, 3), (\omega, 2) \}: B \to C \\ f \circ g &= \{ (a, 1), (b, 2), (c, 3), (d, 3) \} \end{align}

Definition (Identity Function)

Let AA be a set idA={(a,a)∈A×A:a∈A}id_A = \{ (a, a) \in A \times A : a \in A \} is called the identity function on AA.

Example

Let f:A→Bf: A \to B and g:C→Ag: C \to A be functions. Find f∘idAf \circ id_A and idA∘gid_A \circ g.

  1. f:A→B:f(a)=bf: A \to B : f(a) = b
    idA:A→A:idA(a)=aid_A : A \to A : id_A(a) = a
    f∘idA=f(idA(a))=f(a)=bf \circ id_A = f(id_A(a)) = f(a) = b
    f∘idA=ff \circ id_A = f

  2. Exercise

Definition (inverse)

let AA, BB be sets and let f:A→Bf: A \to B be a function. The function g:B→Ag: B \to A is called the inverse of ff iff f∘g=idBf \circ g = id_B and g∘f=idAg \circ f = id_A.

Example

A={α,β,γ}B={a,b,c}idA={(α,α),(β,β),(γ,γ)}idB={(a,a),(b,b),(c,c)} \begin{align} A &= \{ \alpha, \beta, \gamma\} \\ B &= \{ a, b, c \} \\ id_A &= \{ (\alpha, \alpha), (\beta, \beta), (\gamma, \gamma)\} \\ id_B &= \{ (a, a), (b, b), (c, c) \} \\ \end{align}

let f={(α,b),(β,a),(γ,c)}f = \{(\alpha, b), (\beta, a), (\gamma, c) \}
let g={(a,β),(b,γ),(c,α)}g = \{(a, \beta), (b, \gamma), (c, \alpha) \}

f∘g=f(g)f(g(a))=f(β)=af(g(b))=f(γ)=cNot inversesf∘g=f(g)={(a,a),(b,c) \begin{align} f \circ g &= f(g) \\ f(g(a)) &= f(\beta) = a \\ f(g(b)) &= f(\gamma) = c &&& \text{Not inverses} \\ f \circ g &= f(g) = \{ (a, a), (b, c) \end{align}

Example

A={α,β,γ}B={a,b,c}idA={(α,α),(β,β),(γ,γ)}idB={(a,a),(b,b),(c,c)} \begin{align} A &= \{ \alpha, \beta, \gamma\} \\ B &= \{ a, b, c \} \\ id_A &= \{ (\alpha, \alpha), (\beta, \beta), (\gamma, \gamma)\} \\ id_B &= \{ (a, a), (b, b), (c, c) \} \\ \end{align}

let f={(α,b),(β,a),(γ,c)}f = \{(\alpha, b), (\beta, a), (\gamma, c) \}
let g={(a,β),(b,α),(c,γ)}g = \{(a, \beta), (b, \alpha), (c, \gamma) \}

f(g(a))=f(β)=af(g(b))=f(α)=bf(g(c))=f(γ)=cf∘g=f(g)={(a,a),(b,b),(c,c)}=idBg∘f=g(f)={(α,α),(β,β),(γ,γ)}=idA \begin{align} f(g(a)) &= f(\beta) = a \\ f(g(b)) &= f(\alpha) = b \\ f(g(c)) &= f(\gamma) = c \\ f \circ g &= f(g) = \{ (a, a), (b, b), (c, c) \} = id_B \\ g \circ f &= g(f) = \{ (\alpha, \alpha), (\beta, \beta), (\gamma, \gamma) \} = id_A \\ \end{align}

Definition

Two sets AA, BB are equivalent iff ∃\exists a bijective function f:A→Bf: A \to B.

Theorem

If XX is a set, then XX is not equivalent to P(X)P(X)

Proof

SFAC, ∃\exists a bijective function f:X→P(X)f: X \to P(X).

B={x∈X:x∉f(x)}B = \{ x \in X : x \not\in f(x) \} -- This is the set of elements xx that are mapped to a subset of XX for which xx is not a member.

By the axiom of specification, BB is a set and B⊆XB \subseteq X. Then, B∈P(X)B \in P(X). Since ff is surjective, ∃b∈X:f(b)=B\exists b \in X : f(b) = B. If b∈Bb \in B, then b∉f(b)=Bb \not\in f(b) = B, thus b∉Bb \not\in B, but then b∈Bb \in B. Contradiction.

Thus, no bijection exists and the sets are not equivalent.
□\square

Definition (Indexed Family of Subsets)

let XX be a set. An indexed family of subsets SiS_i of XX is denoted {Si}i∈I\{ S_i \}_{i \in I} where it is understood that there is a function from II to P(X)P(X) that maps each i∈Ii \in I to SiS_i. If {Si}i∈I\{S_i\}_{i \in I} is an indexed family of sets, the union is ⋃i∈ISi={x∈X:[∃i∈I:x∈Si]}\bigcup_{i \in I}S_i = \{x \in X : [\exists i \in I : x \in S_i ]\} and the intersection ⋂i∈ISi={x∈X:[∀i∈I:x∈Si]}\bigcap_{i \in I}S_i = \{x \in X : [\forall i \in I : x \in S_i ]\}

Definition

Let XX be a set. Define V0(X)=XV_0(X) = X and for each n∈Nn \in \N, define Vn(X)=Vn−1∪P(Vn−1(X))V_n(X) = V_{n-1} \cup P(V_{n-1}(X))

Example

X={a,b,c}V0(X)={a,b,c}V1(X)=V0∪P(V0)={{a,b,c},{∅,{a},{b},{c},..P(X)}} \begin{align} X &= \{ a, b, c \} \\ V_0(X) &= \{ a, b, c \} \\ V_1(X) &= V_0 \cup P(V_0) = \{ \{ a, b, c \}, \{\emptyset, \{a\}, \{b\}, \{c\}, \mathtt{..P(X)} \} \} \\ \end{align}

V(X)=∪n∈N0Vn∈(C)V(X) = \cup_{n \in N_0}V_n \in (C) is called the superstructure of XX.

2.6 -- The Axiom of Infinity and the Natural Numbers

axiom

There is a set II that contains ∅\emptyset and an element and for each a∈Ia \in I the set a∪{a}∈Ia \cup \{ a \} \in I also.

∅∈I\emptyset \in I
∅∪{∅}∈I\emptyset \cup \{ \emptyset \} \in I => {∅}∈I\{ \emptyset \} \in I
{∅}∪{{∅}}∈I\{ \emptyset \} \cup \{ \{ \emptyset \} \} \in I => {∅,{∅}}∈I\{ \emptyset, \{ \emptyset \}\} \in I

I={∅,{∅}{∅,{∅}}{∅,{∅},{∅,{∅}}}⋯ } \begin{align} I = \{ \\ & \emptyset, \\ & \big\{ \emptyset \big\} \\ & \big\{ \emptyset, \{ \emptyset \} \big\} \\ & \big\{ \emptyset, \{ \emptyset \}, \{ \emptyset, \{ \emptyset \} \} \big\} \\ & \cdots \} \end{align}

let 1={∅}1 = \{ \emptyset \}
and ∀n∈I\forall n \in I, let n′=n∪{n}n' = n \cup \{n\}

Definition (successor set)

We call S⊆IS \subseteq I a successor set iff ∅∉S\emptyset \not\in S, 1∈S1 \in S, and ∀n∈S,n′∈S\forall n \in S, n' \in S

The Peano Axioms

There is a set, denoted N\N called the natural numbers, such that:

  1. ∃\exists a special element, 1∈N1 \in \N
  2. ∀n∈N,∃n′∈N\forall n \in \N, \exists n' \in \N, called the successor of nn.
  3. 11 is not the successor of any element n∈Nn \in \N.
  4. Principle of Induction: If S⊆NS \subseteq N is such that 1∈S1 \in S and ∀n∈S\forall n \in S, we have n′∈Sn' \in S, then S=NS = \N.
  5. ∀n,m∈N\forall n, m \in \N, if m′=n′m' = n', then m=nm = n

Notice: All successor sets are subsets of II
  ⟹  \implies every successor set ∈P(I)\in P(I). By the axiom of specification, ∃\exists a subset S⊆P(I)\mathcal{S} \subseteq P(I) whose elements are all the successor sets.
Let N=⋂S\N = \bigcap \mathcal{S}

Proof

  1. We need to prove 1∈N1 \in \N. Every successor set SS contains 11 as an element, thus 1∈⋂S=N1 \in \bigcap \mathcal{S} = \N.
  2. Now, we need to prove ∀n∈N\forall n \in \N, n′∈Nn' \in \N. Let n∈Nn \in \N be ABF.
    Since, n∈Nn \in \N, n∈⋂Sn \in \bigcap \mathcal{S}, thus ∀S∈S,n∈S\forall S \in \mathcal{S}, n \in S. By definition of successor sets, n′∈S∀Sn' \in S \forall S, thus n′∈⋂S=Nn' \in \bigcap \mathcal{S} = \N.
  3. We need to show that 11 is not the successor of any element of N\N. SFAC that 1=x′1 = x' for some x∈Nx \in \N. Then, 1=x′=x∪{x}1 = x' = x \cup \{ x \}. BUt we defined, 1={∅}1 = \{ \emptyset \}. Then {∅}=x∪{x}  ⟹  x=∅\{ \emptyset \} = x \cup \{ x \} \implies x = \emptyset. But we defined SS so that the ∅∉S\emptyset \not\in S. Contradiction. Thus, 11 is not a successor.
  4. We must prove that S⊆NS \subseteq \N and 1∈S1 \in S and ∀n∈S:n′∈S\forall n \in S : n' \in S, then S=NS = \N. Let SS be ABF subset of N\N so that 1∈S1 \in S and ∀n∈S:n′∈S\forall n \in S : n' \in S.
    We will prove S=NS = \N by mutual containment. Clearly, S⊆NS \subseteq N.
    We defined N=⋂S\N = \bigcap \mathcal{S}, thus ∀S∈S,N⊆S\forall S \in \mathcal{S}, \N \subseteq S. Therefore, S=NS = \N.
  5. Se must prove ∀n,m∈N\forall n, m \in \N with m′=n′m' = n', we have m=nm = n. First, we prove ∀n∈N\forall n \in \N, every element of nn is a subset of nn. Let S={n∈N:[∀m∈n:m⊆n]}S = \{ n \in \N : [ \forall m \in n : m \subseteq n ] \}. This is equivalent to S=NS = \N. Trivially, 1∈S1 \in S. Let n∈Sn \in S. To prove n′∈Sn' \in S, recall that n′=n∪{n}n' = n \cup \{ n \}. Hence, if m∈n′m \in n', then m∈n∪{n}m \in n \cup \{ n \}. Thus, m=nm = n or m∈nm \in n. If m=nm = n, since n⊆n′n \subseteq n', m⊆n′m \subseteq n' and n′∈Sn' \in S. If m∈nm \in n, because n∈Sn \in S, m⊆n⊆n′m \subseteq n \subseteq n'. Thus, n′∈Sn' \in S and by Principle of Induction, S=N  ⟹  S = \N \implies if m∈nm \in n, m⊆nm \subseteq n.
    Now, let m′=n′m' = n'. Then, m′=m∪{m}=n′=n∪{n}m' = m \cup \{ m \} = n' = n \cup \{ n \}. SFAC that m≠nm \neq n. Then {m}≠{n}\{ m \} \neq \{ n \}. Which implies m∈n∧n∈mm \in n \land n \in m, but then m⊆n∧n⊆mm \subseteq n \land n \subseteq m and n=mn = m. Contradiction. Therefore, if m′=n′m' = n', then m=nm = n.