Verifying Vector Space Properties of $\mathbb{R}^2$

In summary, we have shown that the set \mathbb{R}^2, containing all possible columns of arbitrary real numbers, is a vector space over the real number field under scalar multiplication and vector addition. This was verified by checking the eight axioms, including associativity, commutativity, identity elements, inverse elements, and distributivity, and showing that scalar multiplication is compatible with multiplication in the field of scalars. It is important to understand how to check these axioms in order to prove that a set is a vector space.
  • #1
indigojoker
246
0
let [tex]\mathbb{R}^2[/tex] be a set containing all possible columns:

[tex]\left( \begin{array}{cc} a \\ b \right) [/tex]

where a, b are arbitrary real numbers.

show under scalar multiplication and vector addition [tex]\mathbb{R}^2[/tex] is indeed a vector space over the real number field.

I will check the eight axioms:

[tex]X=\left( \begin{array}{cc} a \\ b \right) [/tex]
[tex]Y=\left( \begin{array}{cc} c \\ d \right) [/tex]
[tex]Z=\left( \begin{array}{cc} e \\ f \right) [/tex]

[tex]X,Y,Z \Epsilon \mathbb{R}^2[/tex]

Vector addition is associative:

X+(Y+Z)=(X+Y)+Z
[tex]\left[ \begin{array}{cc} a+c+e \\ b+d+f \right] [/tex]
[tex]=\left[ \begin{array}{cc} a+c+e \\ b+d+f \right] [/tex]

Vector addition is commutative:

X+Y=Y+X
[tex]\left( \begin{array}{cc} a+c \\ b+d \right) [/tex]
[tex]=\left( \begin{array}{cc} c+a \\ b+d \right) [/tex]

Vector addition has an identity element:

[tex]\Theta=\left( \begin{array}{cc} 0 \\ 0 \right)[/tex]

[tex]\Theta+X=X[/tex]

[tex]\left( \begin{array}{cc} 0 \\ 0 \right) +\left( \begin{array}{cc} a \\ b \right) = \left( \begin{array}{cc} a \\ b \right)[/tex]

Inverse Element:

[tex]X=\left[ \begin{array}{cc} a \\ b \right] [/tex]
[tex]W=\left[ \begin{array}{cc} -a \\ -b \right] [/tex]

X+W=0

[tex]\left[ \begin{array}{cc} a \\ b \right] +\left[ \begin{array}{cc} -a \\ -b \right] = \left[ \begin{array}{cc} 0 \\ 0 \right][/tex]

Distributivity holds for scalar multiplication over vector addition:

[tex]\alpha(X+Y)=\alpha X+\alpha Y [/tex]
[tex]\alpha\letf(\left[ \begin{array}{cc} a \\ b \right] +\left[ \begin{array}{cc} c \\ d \right]\right)=\alpha\letf(\left[ \begin{array}{cc} a+c \\ b+d \right]=\alpha X+\alphaY[/tex]

Distributivity holds for scalar multiplication over field addition:

[tex](\alpha+\beta)X=\alphaX+\betaX[/tex]

[tex](\alpha+\beta)\left[ \begin{array}{cc} a \\ b \right] =\left[ \begin{array}{cc} a(\alpha+\beta) \\ b(\alpha+\beta) \right]=\left[ \begin{array}{cc} a\alpha+a\beta \\ b\alpha+b\beta) \right] =\alphaX+\betaX[/tex]

Scalar multiplication is compatible with multiplication in the field of scalars:

a(bX)=(ab)X=abX

[tex]\alpha\left(\beta \left[ \begin{array}{cc} a \\ b \right] \right) = \alpha\left(\left[ \begin{array}{cc} a\beta \\ b\beta \right] \right) = \left[ \begin{array}{cc} a\alpha\beta \\ b\alpha\beta \right] [/tex]

[tex]\alpha(\beta X)=(\alpha \beta) X= \alpha \beta X[/tex]

Scalar multiplication has an identity element:

[tex]F=\left[ \begin{array}{cc} 1 \\ 1 \right][/tex]

such that FX=X


I don't know if this is what I have to do to show R^2 is a vector space. did I do this correct?
 
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  • #2
to answer your last question, you said at the beginning you would check the 8 axioms. can you tell whether you did or not? looks ok to me but i think you should learn to check those things yourself. verifying axioms is usually pretty trivial & anyone should be able to do it in their sleep. (after a bit of practice of course)
 
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  • #3
I think you should say why your statements are true. For example when you check associativity, say why it's true - it's true because of associativity of real numbers.
 
  • #4
indigojoker said:
Scalar multiplication has an identity element:

[tex]F=\left[ \begin{array}{cc} 1 \\ 1 \end{array}\right][/tex]


such that FX=X

No, Scalar multiplication involves scalars! The identity is the NUMBER 1.

(By the way, you need a "\end{array}" before "\right]".)
 

Related to Verifying Vector Space Properties of $\mathbb{R}^2$

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of elements called vectors, which can be added together and multiplied by scalars (numbers), satisfying certain properties. The set of real numbers, denoted by $\mathbb{R}$, is an example of a vector space.

2. What are the properties of a vector space?

The properties of a vector space include closure under addition and scalar multiplication, associativity and commutativity of addition, existence of a zero vector, existence of additive inverse, and distributivity of scalar multiplication over vector addition.

3. How do you verify whether a set is a vector space?

To verify whether a set is a vector space, we need to check if it satisfies all the properties of a vector space. This includes checking if the set is closed under addition and scalar multiplication, and if all the other properties hold true.

4. How do you verify if a vector space is in $\mathbb{R}^2$?

To verify if a vector space is in $\mathbb{R}^2$, we need to check if it consists of all possible ordered pairs of real numbers. This means that each element in the vector space must have two components, both of which are real numbers.

5. Can you give an example of a set that is not a vector space in $\mathbb{R}^2$?

Yes, a set of points on a circle with center at the origin would not be a vector space in $\mathbb{R}^2$. This is because the set would not be closed under scalar multiplication, as multiplying a point on the circle by a scalar would result in a point outside the circle.

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