Space of matrices with non-zero determinant

In summary, you can show that matrices with nonzero determinant are dense in the space of matrices with determinant = 0 by considering nearby matrices with the same determinant and looking for one with a nonzero determinant.
  • #1
brunob
15
0
Hi there!
How can I prove that the space of matrices (2x2) nonzero determinant is dense in the space of matrices (2x2) ?

I've already proved that it's an open set.
Thanks.

PD: Sorry about the mistake in the title.
 
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  • #2
The space you named isn't dense or open. In fact, it's closed with empty interior, i.e. its complement is open and dense.

[For any people reading, the named space has since changed. Now it is open and dense.]
 
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  • #3
Sorry, you're right it's not the matrices with determinant = 0, I should say nonzero determinant.

Thanks!
 
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  • #4
There are lots of different ways you could show it. One would be to consider, for any matrix ##M## and small nonzero number ##\epsilon## the nearby matrix ##M_\epsilon = M + \epsilon I##. What is the determinant of ##M_\epsilon##? Can you show it's nonzero for small but nonzero ##\epsilon##?
 
  • #5
The determinant of [itex]M_\epsilon[/itex] is always nonzero. Unless [itex]M = \begin{pmatrix} -\epsilon & 0\\ 0 & -\epsilon \end{pmatrix}[/itex].
Is [itex]\epsilon[/itex] fixed or just a number decreasing to zero?
 
  • #6
brunob said:
The determinant of [itex]M_\epsilon[/itex] is always nonzero. Unless [itex]M = \begin{pmatrix} -\epsilon & 0\\ 0 & -\epsilon \end{pmatrix}[/itex].
Is [itex]\epsilon[/itex] fixed or just a number decreasing to zero?
I'm pretty sure numbers never decrease. :wink: But ##\epsilon## is an arbitrary positive real number here, so it could certainly be an arbitrary term in a decreasing sequence that converges to 0.

Since ##\epsilon## is a number you choose, the possibility that M is that specific matrix is not a concern. (If M is that matrix, just change your choice of ##\epsilon##).

What you need to show is that for all 2×2 matrices M and all ##\varepsilon>0##, there's a 2×2 matrix M' with non-zero determinant such that ##d(M',M)<\varepsilon##. I guess the idea here is that if you choose a small enough ##t>0## and define ##M'=M+tI##, then we will have ##d(M',M)<\varepsilon##. (I haven't tried it, and I'm going to bed now).

(economicsnerd's ##\epsilon## is my t).
 
  • #7
Fix your matrix ##M = \begin{pmatrix} a & b\\ c & d \end{pmatrix}##, and notice that ##M+\epsilon I \longrightarrow M## as ##\epsilon \longrightarrow 0##.

If we can show that the determinant of ##M+\epsilon I## is nonzero for small enough nonzero ##\epsilon##, then we know that matrices with nonzero determinant are dense.* So let's show it.

The determinant of ##M+\epsilon I## is just ##(a+\epsilon)(d+\epsilon) - bc##, which equals [tex](ad-bc) + (a+d)\epsilon + \epsilon^2[/tex]

-Exercise: If ##ad-bc\neq 0##, then ##(ad-bc) + (a+d)\epsilon + \epsilon^2\neq 0## for small enough nonzero ##\epsilon##. (Though you don't really need to do this one, since ##ad-bc\neq 0## means ##M## already has nonzero determinant.)
-Exercise: If ##ad-bc=0## but ##a+d\neq 0##, then ##(ad-bc) + (a+d)\epsilon + \epsilon^2\neq 0## for small enough nonzero ##\epsilon##.
-Exercise: If ##ad-bc= a+d = 0##, then ##(ad-bc) + (a+d)\epsilon + \epsilon^2\neq 0## for small enough nonzero ##\epsilon##. (This one is basically immediate.)

*[Indeed, for some ##n\in\mathbb N##, we would know ##M+\frac1k I## has nonzero determinant for every ##k\geq n##. Then ##(M+\frac1k I)_{k=n}^\infty## is a sequence of matrices with nonzero determinant, converging to ##M##.]
 
  • #8
Great, got it! I'll write it.

Thank you so much!
 

FAQ: Space of matrices with non-zero determinant

What is the space of matrices with non-zero determinant?

The space of matrices with non-zero determinant refers to the set of all matrices where the determinant is not equal to zero. This means that the matrix is invertible and has a unique solution when used in linear equations. It is a subset of the space of all matrices.

How is the space of matrices with non-zero determinant different from the space of all matrices?

The space of matrices with non-zero determinant is a smaller subset of the space of all matrices. This is because the determinant of a matrix is a measure of its linear independence and invertibility. Therefore, the space of matrices with non-zero determinant only includes matrices that have a unique solution when used in linear equations.

What is the significance of the determinant in the space of matrices with non-zero determinant?

The determinant is a crucial factor in determining the properties of a matrix in the space of matrices with non-zero determinant. It determines if the matrix is invertible and has a unique solution when used in linear equations. Additionally, the determinant also plays a role in calculating the area or volume of a transformation represented by the matrix.

How can the space of matrices with non-zero determinant be visualized?

The space of matrices with non-zero determinant can be visualized in different ways, depending on the dimension of the matrices. For 2x2 matrices, the space can be visualized as a plane, where each point represents a unique matrix. For higher dimensions, it becomes difficult to visualize, but it can be represented mathematically as a manifold in the space of all matrices.

What are some applications of the space of matrices with non-zero determinant?

The space of matrices with non-zero determinant has various applications in mathematics, physics, and engineering. It is used in solving systems of linear equations, calculating areas and volumes of transformations, and determining the stability of systems in control theory. Additionally, it has applications in computer graphics, where matrices are used to represent transformations of 3D objects.

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