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# Metric spaces
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> *Definition 1*: a **metric space** is a pair $(X,d)$, where $X$ is a set and $d$ is a metric on $X$, which is a function on $X \times X$ such that
>
> 1. $d$ is real, finite and nonnegative,
> 2. $\forall x,y \in X: \quad d(x,y) = 0 \iff x = y$,
> 3. $\forall x,y \in X: \quad d(x,y) = d(y,x)$,
> 4. $\forall x,y,z \in X: \quad d(x,y) \leq d(x,z) + d(y,z)$.
The metric $d$ is also referred to as a distance function. With $x,y \in X: d(x,y)$ the distance from $x$ to $y$.
## Examples of metric spaces
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For the **Real line** $\mathbb{R}$ the usual metric is defined by
$$
d(x,y) = |x - y|,
$$
for all $x,y \in \mathbb{R}$. Obtaining a metric space $(\mathbb{R}, d)$.
??? note "*Proof*:"
Will be added later.
For the **Euclidean space** $\mathbb{R}^n$ with $n \in \mathbb{N}$, the usual metric is defined by
$$
d(x,y) = \sqrt{\sum_{j=1}^n (x(j) - y(j))^2},
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$$
for all $x,y \in \mathbb{R}^n$ with $x = (x(j))$ and $y = (y(j))$. Obtaining a metric space $(\mathbb{R}^n, d)$.
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??? note "*Proof*:"
Will be added later.
Similar examples exist for the complex plane $\mathbb{C}$ and the unitary space $\mathbb{C}^n$.
For the space $C([a,b])$ of all **real-valued continuous functions** on a closed interval $[a,b]$ with $a<b \in \mathbb{R}$ the metric may be defined by
$$
d(x,y) = \max_{t \in [a,b]} |x(t) - y(t)|,
$$
for all $x,y \in C([a,b])$. Obtaining a metric space $(C([a,b]), d)$.
??? note "*Proof*:"
Will be added later.
> *Definition 2*: let $l^p$ with $p \geq 1$ be the set of sequences $x \in l^p$ of complex numbers with the property that
>
> $$
> \sum_{j \in \mathbb{N}} | x(j) |^p \text{ is convergent},
> $$
>
> for all $x \in l^p$.
We have that a metric $d$ for $l^p$ may be defined by
$$
d(x,y) = (\sum_{j \in \mathbb{N}} | x(j) - y(j) |^p)^\frac{1}{p},
$$
for all $x,y \in l^p$.
??? note "*Proof*:"
Will be added later.
From definition 2 the sequence space $l^\infty$ follows, which is defined as the set of all bounded sequences $x \in l^\infty$ of complex numbers. A metric $d$ of $l^\infty$ may be defined by
$$
d(x,y) = \sup_{j \in \mathbb{N}} | x(j) - y(j) |,
$$
for all $x, y \in l^\infty$.
??? note "*Proof*:"
Will be added later.