Vector Space
In mathematics, vector space is a set of objects that can be operated(added, multipled and so on) together with number
A vector space is a triple(V, +, .) and it must obey the following 9 rules:
(1) Closure by addition: $$ \forall u, w \in V, \quad u+w \in V $$
(2) Additive associality: $$ \forall u, v, w \in V, \quad (u+v)+w=u+(v+w) $$
(3) Additive commutativity: $$ \forall u, w \in V, \quad u+w = w+u $$
(4) Additive identity: $$ \exists 0 \in V, \quad u+0 = 0+u $$
(5) Additive inverse: $$ \forall u \in V, \quad -u \in V \quad s.t. \quad (-u)+u=u+(-u)=0 $$
(6) Closure by scalar multiplication: $$ \forall k \in R \quad and \quad u \in V, \quad ku \in V $$
(7) Multiplicative associality: $$ \forall k,l \in R \quad and \quad u \in V, \quad (kl)u=k(lu) $$
(8) Multiplicative identity: $$ \exists 1 \in V, \quad 1u=u$$
(9) Distributive property: $$ \forall k \in R \quad and \quad u,w \in V, \quad k*(u+w)=ku+kw $$ $$ \forall k,l \in R \quad and \quad u \in V, \quad (k+l)u=ku+l*u $$
*notice: the two operation in a triple is not necessary to be add and multiply
Example:
Let $ V=R_{>0} $ be the set of strictly positive real numbers. Let for all and for all and . Show that is a vector space.
Let , then
and both are positive real number
is also a positive real number, so V is closure under .
Let , then
V has identity.
Let and its identity , then ,
V has inverse.
Let , then
V has associality.
Let , then
V has commutativity.
Let , , then
is a positive real number and is a real number
$v^k $ is also a positive real number, so V is closure under .
Let , then
V has identity.
Let and , then
V has associality.
Let and ,
then
and
V has distributive property.
Therefore V fits all 9 rules and it’s a vector space.
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