Definition: Metric Spaces
A set X X X is said to be endowed with a metric or a a a metric space structure or to be a metric space if a function
d : X × X → R d: X \times X \rightarrow \mathbb{R} d : X × X → R is exhibited satisfying the following conditions:
d ( x 1 , x 2 ) = 0 ⇔ x 1 = x 2 d\left(x_{1}, x_{2}\right)=0 \Leftrightarrow x_{1}=x_{2} d ( x 1 , x 2 ) = 0 ⇔ x 1 = x 2
d ( x 1 , x 2 ) = d ( x 2 , x 1 ) d\left(x_{1}, x_{2}\right)=d\left(x_{2}, x_{1}\right) d ( x 1 , x 2 ) = d ( x 2 , x 1 ) (symmetry)
d ( x 1 , x 3 ) ≤ d ( x 1 , x 2 ) + d ( x 2 , x 3 ) d\left(x_{1}, x_{3}\right) \leq d\left(x_{1}, x_{2}\right)+d\left(x_{2}, x_{3}\right) d ( x 1 , x 3 ) ≤ d ( x 1 , x 2 ) + d ( x 2 , x 3 ) (the triangle inequality),
where x 1 , x 2 , x 3 x_{1}, x_{2}, x_{3} x 1 , x 2 , x 3 are arbitrary elements of X X X .
By default, all the Spaces mentioned below are Metric Spaces.
traditional distance:
d ( x 1 , x 2 ) = ∑ i = 1 n ∣ x 1 i − x 2 i ∣ 2 d\left(x_{1}, x_{2}\right)=\sqrt{\sum_{i=1}^{n}\left|x_{1}^{i}-x_{2}^{i}\right|^{2}} d ( x 1 , x 2 ) = i = 1 ∑ n x 1 i − x 2 i 2 between points x 1 = ( x 1 1 , … , x 1 n ) x_{1}=\left(x_{1}^{1}, \ldots, x_{1}^{n}\right) x 1 = ( x 1 1 , … , x 1 n ) and x 2 = ( x 2 1 , … , x 2 n ) x_{2}=\left(x_{2}^{1}, \ldots, x_{2}^{n}\right) x 2 = ( x 2 1 , … , x 2 n ) in R n \mathbb{R}^{n} R n , this can also introduce the distance
d p ( x 1 , x 2 ) = ( ∑ i = 1 n ∣ x 1 i − x 2 i ∣ p ) 1 / p d_{p}\left(x_{1}, x_{2}\right)=\left(\sum_{i=1}^{n}\left|x_{1}^{i}-x_{2}^{i}\right|^{p}\right)^{1 / p} d p ( x 1 , x 2 ) = ( i = 1 ∑ n x 1 i − x 2 i p ) 1/ p where p ≥ 1 p \geq 1 p ≥ 1 .
Minkowski's inequality
( ∑ i = 1 n ∣ x i + y i ∣ p ) 1 p ≤ ( ∑ i = 1 n ∣ x i ∣ p ) 1 p + ( ∑ i = 1 n ∣ y i ∣ p ) 1 p , ∀ x , y ∈ R n , p ≥ 1 \left(\sum_{i=1}^{n}\left|x^{i}+y^{i}\right|^{p}\right)^{\frac{1}{p}} \leq\left(\sum_{i=1}^{n}\left|x^{i}\right|^{p}\right)^{\frac{1}{p}}+\left(\sum_{i=1}^{n}\left|y^{i}\right|^{p}\right)^{\frac{1}{p}}, \quad \forall x, y \in \mathbb{R}^{n}, p \geq 1 ( i = 1 ∑ n x i + y i p ) p 1 ≤ ( i = 1 ∑ n x i p ) p 1 + ( i = 1 ∑ n y i p ) p 1 , ∀ x , y ∈ R n , p ≥ 1 so d p ( x 1 , x 2 ) d_{p}\left(x_{1}, x_{2}\right) d p ( x 1 , x 2 ) is satisfying the following conditions above.
Definition: neighborhood
Chinese: 鄰域
For δ > 0 \delta>0 δ > 0 and a ∈ X a \in X a ∈ X the set
B ( a , δ ) = { x ∈ X ∣ d ( a , x ) < δ } B(a, \delta)=\{x \in X \mid d(a, x)<\delta\} B ( a , δ ) = { x ∈ X ∣ d ( a , x ) < δ } is called the ball with center a ∈ X a \in X a ∈ X of radius δ \delta δ or the δ − \delta - δ − neighborhood of the point a a a .
>>>>>>>>>>>>>>>>>> Under construction <<<<<<<<<<<<<<<<<<
Accumulation point
Chinese: 聚點
Chinese: 極限點
Chinese: 邊界點
Chinese: 開集
A subset U U U of a metric space ( M , d ) (M, d) ( M , d ) is called open if, given any point x x x in U U U , there exists a real number ε > 0 \varepsilon>0 ε > 0 such that, given any point y y y in M M M with d ( x , y ) < ε d(x, y)<\varepsilon d ( x , y ) < ε , y y y also belongs to U U U .
Chinese: 導集
Chinese: 閉包
Chinese: 閉集
Chinese: 連通集
path connectedness
Chinese: 道路連通
Quasi -mean value theorem
The rank theorem
■ \blacksquare ■