Space of matrices with non-zero determinant

brunob
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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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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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Sorry, you're right it's not the matrices with determinant = 0, I should say nonzero determinant.

Thanks!
 
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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##?
 
The determinant of M_\epsilon is always nonzero. Unless M = \begin{pmatrix} -\epsilon & 0\\ 0 & -\epsilon \end{pmatrix}.
Is \epsilon fixed or just a number decreasing to zero?
 
brunob said:
The determinant of M_\epsilon is always nonzero. Unless M = \begin{pmatrix} -\epsilon & 0\\ 0 & -\epsilon \end{pmatrix}.
Is \epsilon 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).
 
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 (ad-bc) + (a+d)\epsilon + \epsilon^2

-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##.]
 
Great, got it! I'll write it.

Thank you so much!
 
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