Vector space
Mathematical definition
Set $\mathbf{V}$ is a vector space over $\mathbb{F}$ if:
1. Are defined operations
- of addition: $\mathbf{V} \times \mathbf{V} \to \mathbf{V}$
- of scalar multiplication: $\mathbb{F} \times \mathbf{V} \to \mathbf{V}$
2. Are satisfied the properties
- Commutativity: $\forall u,v\in\mathbf{V},\; u+v=v+u$;
- Associativity: $\forall u,v,w\in\mathbf{V},\;\forall a,b\in\mathbb{F},\; (u+v)+w=u+(v+w)\;\land\;(ab)v=a(bv)$;
- Additive identity: $\exists \vec 0\in\mathbf{V},\;\forall v\in\mathbf{V},\; \vec 0+v=v$;
- Additive inverse: $\forall v\in\mathbf{V},\;\exists w\in\mathbf{V},\; v+w=0$;
- Multiplicative identity: $\forall v\in\mathbf{V},\; 1v=v$;
- Distributivity: $\forall u,v\in\mathbf{V},\;\forall a,b\in\mathbb{F},\; a(u+v)=au+av\;\land\;(a+b)u=au+bu$.
Elementary properties
For vector space $V$ over $\mathbb{F}$:
The $\vec 0$ is unique
$$\exists!\,\vec 0\in V,\;\forall v\in V,\;\vec 0+v=v.$$
Proof: Let $\vec 0,\vec 0_1\in V$ satisfy $\forall v\in V,\;\vec 0+v=v$ and $\forall v\in V,\;\vec 0_1+v=v$. Then $$\vec 0_1=\vec 0+\vec 0_1=\vec 0.$$ Hence $\vec 0=\vec 0_1$.
The additive inverse for each vector is unique
$$\forall v\in V,\;\exists!\,w\in V,\;v+w=\vec 0.$$
Proof: Let $w,w'\in V$ satisfy $v+w=\vec 0$ and $v+w'=\vec 0$. Then $$w=w+\vec 0=w+(v+w')=(w+v)+w'=\vec 0+w'=w'.$$ Hence $w=w'$.
Scalar $0$ mutiplies by any vector results in $\vec 0$ (the vector zero)
$$\forall v\in V,\;0v=\vec 0.$$
Proof: For $v\in V$, $$0v=(0+0)v=0v+0v.$$ Adding the additive inverse of $0v$, $-0v$, to both sides, we obtain $$\vec 0=0v.$$
Any scalar multiples of $\vec 0$ is $\vec 0$
$$\forall a\in\mathbb{F},\;a\vec 0=\vec 0.$$
Proof: For $a\in\mathbb{F}$, $$a\vec 0=a(\vec 0+\vec 0)=a\vec 0+a\vec 0.$$ Adding the additive inverse of $a\vec 0$, $-a\vec 0$ to both sides, we obtain $$\vec 0=a\vec 0.$$
Scalar $-1$ multiples by any vector results in the additive inverse of the vector
$$\forall v\in V,\;(-1)v=-v.$$
Proof: For $v\in V$, $$v+(-1)v=1v+(-1)v=(1+(-1))v=0v=\vec 0,$$ which shows that $(-1)v$ is the additive inverse $-v$ of $v$.
- ↑ Isaiah Lankham, Bruno Nachtergaele, and Anne Schilling. (2021). 4.1: Definition of vector spaces. LibreTexts. https://math.libretexts.org/Bookshelves/Linear_Algebra/Book%3A_Linear_Algebra_(Schilling_Nachtergaele_and_Lankham)/04%3A_Vector_spaces/4.01%3A_De%EF%AC%81nition_of_vector_spaces
- ↑ Isaiah Lankham, Bruno Nachtergaele, and Anne Schilling. (2021). 4.2: Elementary properties of vector spaces. LibreTexts. https://math.libretexts.org/Bookshelves/Linear_Algebra/Book%3A_Linear_Algebra_(Schilling_Nachtergaele_and_Lankham)/04%3A_Vector_spaces/4.02%3A_Elementary_properties_of_vector_spaces