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Finished set-theory, updated start menu: added references.

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Luc Bijl 2023-12-31 21:51:20 +01:00
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# Additional axioms # Additional axioms
## Axiom of choice
> *Principle*: let $C$ be a collection of nonempty sets. Then there exists a map
>
>$$
> f: C \to \bigcap_{A \in C} A
>$$
>
> with $f(A) \in A$.
>
> * The image of $f$ is a subset of $\bigcap_{A \in C} A$.
> * The function $f$ is called a **choice function**.
The following statements are equivalent to the axiom of choice.
* For any two sets $A$ and $B$ there does exist a surjective map from $A$ to $B$ or from $B$ to $A$.
* The cardinality of an infinite set $A$ is equal to the cardinality of $A \times A$.
* Every vector space has a basis.
* For every surjective map $f: A \to B$ there is a map $g: B \to A$ with $f(g(b)) = b$ for all $b \in B$.
## Axiom of regularity
> *Principle*: let $X$ be a nonempty set of sets. Then $X$ contains an element $Y$ with $X \cap Y = \varnothing$.
As a result of this axiom any set $S$ cannot contain itself.

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# Cardinalities # Cardinalities
## Cardinality
> *Definition*: two sets $A$ and $B$ have the same **cardinality** if there exists a bijection from $A$ to $B$.
For example, two finite sets have the same cardinality if and only if they have the same number of elements. The sets $\mathbb{N}$ and $\mathbb{Z}$ have the same cardinality, consider the map $f: \mathbb{N} \to \mathbb{Z}$ defined by $f(2n) = n$ and $f(2n+1) = -n$ with $n \in \mathbb{N}$, which may be observed to be a bijection.
> *Theorem*: having the same cardinality is an equivalence relation.
??? note "*Proof*:"
Let $A$ be a set. Then the identity map is a bijection from $A$ to itself, so $A$ has the same cardinality as $A$. Therefore we obtain reflexivity.
Suppose $A$ has the same cardinality as $B$. Then there is a bijection $f: A \to B$. Now $f$ has an inverse $f^{-1}$, which is a bijection from $B$ to $A$. So $B$ has the same cardinality as $A$, obtaining symmetry.
Suppose $A$ has the same cardinality as $B$ and $B$ the same cardinality as $C$. So, there exist bijections $f: A \to B$ and $g: B \to C$. Then $g \circ f: A \to C$ is a bijection from $A$ to $C$. So $A$ has the same cardinality as $C$, obtaining transitivity.
## Countable sets
> *Definition*: a set is called **finite** if it is empty or has the same cardinality as the set $\mathbb{N}_n := \{1, 2, \dots, n\}$ and **infinite** otherwise.
<br>
> *Definition*: a set is called **countable** if it is finite or has the same cardinality as the set $\mathbb{N}$. An infinite set that is not countable is called **uncountable**.
<br>
> *Theorem*: every infinite set contains an infinite countable subset.
??? note "*Proof*:"
Suppose $A$ is an infinite set. Since $A$ is infinite, we can start enumerating the elements $a_1, a_2, \dots$ such that all the elements are distinct. This yields a sequence of elements in $A$. The set of all elements in this sequence form a countable subset of $A$.
> *Theorem*: let $A$ be a set. If there is a surjective map from $\mathbb{N}$ to $A$ then $A$ is countable.
??? note "*Proof*:"
Will be added later.
## Uncountable sets
> *Lemma*: the set $\{0,1\}^\mathbb{N}$ is uncountable.
??? note "*Proof*:"
let $F: \mathbb{N} \to \{0,1\}^\mathbb{N}$. By $f_i$ we denote the function $F(i)$ from $\mathbb{N}$ to $\{0,1\}$. ...
The power set of $\mathbb{N}$ has the same cardinality as $\{0,1\}^\mathbb{N}$ therefore it also uncountable.
> *Lemma*: the interval $[0,1)$ is uncountable.
??? note "*Proof*:"
Will be added later.
> *Theorem*: $\mathbb{R}$ is uncountable.
??? note "*Proof*:"
as $\mathbb{R}$ contains the uncountable subset $[0,1)$, it is uncountable.
## Cantor-Schröder-Bernstein theorem
> *Theorem*: let $A$ and $B$ be sets and assume that there are two maps $f: A \to B$ and $g: B \to A$ which are injective. Then there exists a bijection $h: A \to B$.
>
> Therefore $A$ and $B$ have the same cardinality.

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@ -61,3 +61,39 @@ Hence if the claim holds for some $k \in \mathbb{N}$ then it also holds for $k+1
$$ $$
\sum_{i=1}^n i = \frac{n}{2}(n+1). \sum_{i=1}^n i = \frac{n}{2}(n+1).
$$ $$
> *Principle* **- Strong induction**: suppose $P(n)$ is a predicate for $n \in \mathbb{Z}$, let $b \in \mathbb{Z}$. If the following holds
>
> * $P(b)$ is true,
> * for all $k \in \mathbb{Z}$ we have that $P(b), P(b+1), \dots, P(k-1)$ and $P(k)$ together imply $P(k+1)$.
>
> Then $P(n)$ is true for all $n \geq b$.
For example, we claim for the recursion
$$
\begin{align*}
&a_1 = 1, \\
&a_2 = 3, \\
&a_n = a_{n-2} + 2 a_{n-1}
\end{align*}
$$
that $a_n$ is odd $\forall n \in \mathbb{N}$.
We first check the claim for for $n=1$ and $n=2$, from the definition of the recursion it may be observed that the it is true.
Now suppose that for some $i \in \{1, \dots, k\}$ $a_i$ is odd.
Then by assumption
$$
\begin{align*}
a_{k+1} &= a_{k-1} + 2 a_k, \\
&= a_{k-1} + 2 a_{k} + 2(a_{k-2} + 2a_{k-1}), \\
&= 2 (a_k + a_{k-2} + 2 a_{k-1}) + a_{k-1},
\end{align*}
$$
so $a_{k+1}$ is odd.

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Welcome to the mathematics page. Some special mathematical environments that will be used in this section are listed and explained below. Welcome to the mathematics page. Some special mathematical environments that will be used in this section are listed and explained below.
* *Principles*: not yet defined.
* *Definitions* : a precise and unambiguous description of the meaning of a mathematical term. It char- * *Definitions* : a precise and unambiguous description of the meaning of a mathematical term. It char-
acterizes the meaning of a word by giving all the properties and only those properties that must be acterizes the meaning of a word by giving all the properties and only those properties that must be
true. true.
@ -14,5 +15,11 @@ to proving a theorem.
that this is a corollary to Theorem A). that this is a corollary to Theorem A).
* *Proofs* : a convincing argument that a certain mathematical statement is necessarily true. A proof * *Proofs* : a convincing argument that a certain mathematical statement is necessarily true. A proof
generally uses deductive reasoning and logic but also contains some amount of ordinary language. generally uses deductive reasoning and logic but also contains some amount of ordinary language.
* *Examples* : examples help to understand the meaning of a definition, or the impact of a result.
* *Algorithms* : recipes to do calculations. * *Algorithms* : recipes to do calculations.
The mathematics sections of this wiki are based on various books and lectures. A comprehensive list of references can be found below.
* The definitions of the special mathematical environments on this page and the sections of logic, set-theory and number-theory are based on the lectures and lecture notes of Hans Cuypers.
* The section of calculus is based on the lectures of Luc Habets and the book Calculus by Robert Adams.
* The section of linear algebra is based on the lectures of Rik Kaasschieter and the book Linear Algebra by Steven Leon.
* The sections of multivariable calculus and ordinary differential equations are based on the lectures and lecture notes of Georg Prokert and the book Calculus by Robert Adams.