Why 3x3 Matrices Don't Form a Vector Space Over Reals

In summary, the set of all nonsingular 3x3 matrices does not form a vector space over the real numbers under addition because it fails the condition that for all x,y \in V, x+y \in V. Additionally, it fails the condition for the existence of a zero element and the addition of a scalar. This is because the matrix \bmatrix 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0\endbmatrix is not a valid zero element and 0*A is undefined for any scalar A.
  • #1
neergmas
18
1

Homework Statement



The set of all nonsingular 3x3 matrices does not form a vector space over the real numbers under addition. Why?

Homework Equations



A vector space over F, under addition, is a nonempty set V such that

A1 Addition is associative
A2 Existence of 0
A3 Existence of negative
A4 Addition is commutative

The Attempt at a Solution



Is the reason because the sets of all nonsingular 3x3 matrices include those composed of complex numbers which are not reals and therefore the addition of such matrices, which all satisfy A1-A4, are not over the reals?
 
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  • #2
neergmas said:
Is the reason because the sets of all nonsingular 3x3 matrices include those composed of complex numbers which are not reals and therefore the addition of such matrices, which all satisfy A1-A4, are not over the reals?
The question doesn't say anything about complex numbers. Why bring them in?

Your list of conditions is incomplete (you have omitted a very important condition). However, that doesn't matter. The set of all non-singular 3x3 matrices fails at least one of the conditions that you did list.
 
  • #3
Thank you for your response, D H.

D H said:
The question doesn't say anything about complex numbers. Why bring them in?

Because the 3x3 matrices could be composed of complex numbers and that would automatically disqualify them from being elements of a vector space over the real numbers? Is that reasoning nonsense?

D H said:
Your list of conditions is incomplete (you have omitted a very important condition). However, that doesn't matter. The set of all non-singular 3x3 matrices fails at least one of the conditions that you did list.

Is the omission: For all x,y [tex]\in[/tex] V, x+y [tex]\in[/tex] V?

Which condition does it fail? Say we are given A,B,C [tex]\in R_{3x3}[/tex]:

(A+B)+C = A+(B+C)? Yes
A+0 = A? Yes
Let D = -1A. A+D=0? Yes
A+B = B+A? Yes

I really want to understand the concept of "vector space". Thank you for your help.
 
  • #4
neergmas said:
Is the omission: For all x,y [tex]\in[/tex] V, x+y [tex]\in[/tex] V?
Yes.


Which condition does it fail? Say we are given A,B,C [tex]\in R_{3x3}[/tex]:

(A+B)+C = A+(B+C)? Yes
A+0 = A? Yes
Let D = -1A. A+D=0? Yes
A+B = B+A? Yes
Try that again. Particularly the middle two.
 
  • #5
I don't see it. Is it the fact that we are talking about vectors and a 3x3 matrix is not a vector -- of course a 3x3 matrix can be thought of as a partitioned 3x1 column vector or a 1x3 row vector. But I still think those meet the criteria. There is something in the definition that I don't understand.

The 3x3 sets must "form a vector space" under addition. Which means that all members of 3x3 must meet the four listed criteria. And as long as the member comes from R3x3, I don't see the problem.
 
  • #6
neergmas said:
I don't see it.

You're problem is here:

neergmas said:
A+0 = A? Yes
What is this "0" you use without proving its existence? It most certainly is not the matrix [tex]\bmatrix 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0\endbmatrix[/tex], because that matrix is quite singular.
 
  • #7
Lol. Of course. Your reply also clears up the problem with A3.

Thanks!
 
  • #8
Multiplication with a scalar is another problem. What is 0*A ?
 

Related to Why 3x3 Matrices Don't Form a Vector Space Over Reals

1. Why can't 3x3 matrices form a vector space over the reals?

3x3 matrices cannot form a vector space over the reals because they do not satisfy the closure property of vector addition. This means that the sum of two 3x3 matrices is not always a 3x3 matrix.

2. What is the closure property and why is it important for vector spaces?

The closure property states that the result of an operation on two elements in a set is also an element in that same set. In the case of vector spaces, this means that the sum of two vectors must also be a vector in that same vector space. Without this property, the set of 3x3 matrices cannot form a vector space over the reals.

3. Are there any other properties that 3x3 matrices do not satisfy to be a vector space?

Yes, in addition to not satisfying the closure property, 3x3 matrices also do not satisfy the scalar multiplication property. This property states that the product of a scalar and a vector must also be a vector in the same vector space. Since 3x3 matrices do not satisfy this property, they cannot form a vector space over the reals.

4. Can 3x3 matrices form a vector space over a different field?

Yes, it is possible for 3x3 matrices to form a vector space over a different field, such as the complex numbers. This is because the closure and scalar multiplication properties may hold for different sets of operations in other fields.

5. Why is it important to understand why 3x3 matrices cannot form a vector space over the reals?

Understanding why 3x3 matrices cannot form a vector space over the reals is important because it helps to clarify the properties that are necessary for a set of elements to form a vector space. It also highlights the differences between different fields and their impact on the properties that are satisfied by a set of elements.

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