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: $$ \forall k,l \in R \quad and \quad u \in V, \quad (k
l)u=k(lu) $$
(8) Multiplicative identity: $$ \exists 1 \in V, \quad 1
u=u$$
(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 u⊞v=u∗vu \boxplus v = u*v for all u,v∈Vu,v \in V and k⊙u=ukk \odot u=u^k for all u∈Vu \in V and k∈Rk \in R. Show that (V,⊞,⊙)(V, \boxplus, \odot) is a vector space.

Let u,v∈Vu,v \in V, then u⊞v=u∗vu \boxplus v = u*v
∵u\because u and vv both are positive real number
∴u∗v\therefore u * v is also a positive real number, so V is closure under ⊞\boxplus.

Let v,1∈Vv,1 \in V, then v⊞1=v∗1=vv \boxplus 1 = v*1 = v
∴\therefore V has ⊞\boxplus identity.

Let v∈Vv \in V and its ⊞\boxplus identity =1=1, then v⊞(1/v)=v∗(1/v)=1v \boxplus (1/v)=v*(1/v)=1,
∴\therefore V has ⊞\boxplus inverse.

Let u,v,x∈Vu,v,x \in V, then u⊞(v⊞x)=u⊞(v∗x)=u∗v∗x=(u⊞v)∗x=(u⊞v)⊞xu \boxplus (v \boxplus x)=u \boxplus (v*x)=u*v*x=(u \boxplus v)*x=(u \boxplus v) \boxplus x
∴\therefore V has ⊞\boxplus associality.

Let u,v∈Vu,v \in V, then u⊞v=u∗v=v∗u=v⊞uu \boxplus v=u*v=v*u=v \boxplus u
∴\therefore V has ⊞\boxplus commutativity.

Let v∈Vv \in V, k∈Rk \in R, then k⊙v=vkk \odot v = v^k
∵v\because v is a positive real number and kk is a real number
∴\therefore $v^k $ is also a positive real number, so V is closure under ⊙\odot.

Let v∈Vv \in V, then 1⊙v=v1=v1 \odot v=v^1=v
∴\therefore V has ⊙\odot identity.

Let v∈Vv \in V and a,b∈Ra,b \in R, then (b⊙a)⊙v=(va)b=b⊙va=b⊙(a⊙v)(b \odot a) \odot v=(v^a)^b=b \odot v^a=b \odot (a \odot v)
∴\therefore V has ⊙\odot associality.

Let u,v∈Vu,v \in V and a,b∈Ra,b \in R,
then a⊙(u⊞v)=a⊙(u∗v)=(u∗v)a=ua∗va=(a⊙u)⊞(a⊙v)a \odot (u \boxplus v)=a \odot (u*v)=(u*v)^a=u^a * v^a=(a \odot u) \boxplus (a \odot v)
and (a⊞b)⊙u=(a∗b)⊙u=ua∗b=ua∗ub=(a⊙u)⊞(b⊙u)(a \boxplus b) \odot u=(a*b) \odot u=u^{a*b}=u^a * u^b=(a \odot u) \boxplus (b \odot u)
∴\therefore V has distributive property.

Therefore V fits all 9 rules and it’s a vector space.


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