Norm

Definition (Norm)

Let VV be a F\mathbb{F}-vector space. A norm on VV assigns to each vector vVv\in V a “magnitude” vR+\|v\|\in\mathbb{R}^{+}, and the assignment satisfies the following:

  1. Positive Definiteness: v0, vV\|v\|\ge0, \ \forall v\in V or v=0    v=0v\|v\|=0 \iff v=0_{v}
  2. Homogeneity: av=av\|av\|=|a|\cdot\|v\|aR\forall a\in\mathbb{R} and vV\forall v\in V.
  3. Triangle Inequality: v1+v2v1+v2\|v_{1}+v_{2}\|\le\|v_{1}\|+\|v_{2}\|v1,v2V\forall v_{1},v_{2}\in V.

Definition (Complex norm)

If z=a+biz=a+bi is a complex number, we define the Norm of z to be the complex number z:=a2+b2|z|:=\sqrt{a^2+b^2}

Definition (1 norm)

The 1-Norm, denoted as \|\cdot\| is defined as follows for any arbitrary vVv\in V where v=(v1,,vn)v=(v_{1},\ldots,v_{n}) Fn: v=v1++vnF:(vi)iN=i=1viC0([a,b];F):f=abf(x)dx\begin{align*} \mathbb{F}^{n}&: \ \|v\|=|v_{1}|+\cdots+|v_{n}|\\ \mathbb{F}^{\infty}&:\|(v_{i})_{i\in\mathbb{N}}\|=\sum\limits_{i=1}^{\infty}|v_{i}|\\ C^{0}([a,b];\mathbb{F})&:\|f\|=\int_{a}^{b}|f(x)|dx \end{align*}

Definition (2 norm)

The 2-Norm, denoted as 2\|\cdot\|_{2}, for any arbitrary vVv\in V is defined as follows: Fn: v2=v12++vn2F:(vi)iN2=(i=1vi2)12C0([a,b];F):f2=(abf(x)2dx)12\begin{align*} \mathbb{F}^{n}&: \ \|v\|_{2}=\sqrt{|v_{1}|^{2}+\cdots+|v_{n}|^{2}}\\ \mathbb{F}^{\infty}&:\|(v_{i})_{i\in\mathbb{N}}\|_{2}=\left(\sum\limits_{i=1}^{\infty}|v_{i}|^{2}\right)^{\frac{1}{2}}\\ C^{0}([a,b];\mathbb{F})&:\|f\|_{2}=\left(\int_{a}^{b}|f(x)|^{2}dx\right)^{\frac{1}{2}} \end{align*}

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