Non-zero determinant iff matrix is invertible.

In summary, an n*n matrix A is invertible if and only if its determinant, det(A), is not equal to 0. This can be shown by considering the existence of an inverse matrix, B, such that AB = BA = I. If A is invertible, then det(AB) = det(A)det(B) = 1, implying that both det(A) and det(B) are nonzero. However, the converse is not as straightforward and may require additional steps or knowledge, such as the fact that an n*n matrix is invertible if and only if its rank is n. Additionally, we can write A^(-1) in terms of det(A) and adj(A) as A^(-1)
  • #1
ksm100
7
0

Homework Statement


Given that A is any 2x2 matrix show that it is invertible if and only if det(A) [tex]\neq[/tex] 0.

Homework Equations





The Attempt at a Solution


If A is invertible then we know there exists an inverse matrix, say B, such that AB = BA = I.
It follows that det(AB)=det(BA)=det(I), and we know that det(I) = (1*1) - (0*0) = 1, so
det(AB) = det(A)det(B) = 1 implies both det(A) and det(B) are both nonzero.

However, I'm unsure how to show the converse.

If we suppose det(A) is not equal to 0, we know that no rows/columns of A are all zero, no two rows/columns are equal, and one row/column is not a multiple of the other.

I'm stuck here.. if anyone could help I'd really appreciate it!
 
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  • #2
How would you write A-1 in terms of det(A) and adj(A)?
 
  • #3
Do you have any explicit formulas* for the inverse?

If not, then if you wrote down a generic matrix (its entries are variables), do you have an algorithm to compute* the inverse?

If not, can you write down another generic matrix at least solve* the system of equations that says "this matrix is the inverse of the other one"?

*: Paying careful attention to when it does and doesn't work? e.g. if you would divide by the expression (b-a), you should keep track of the fact you're assuming b-a is nonzero. (And then consider the case b=a separately)
 
  • #4
A^(-1) = [1/det(A)]*adj(A)

So I can just say that because I know that det(A) isn't zero, 1/det(A) is defined and therefore A^(-1) exists?
 
  • #5
ksm100 said:
A^(-1) = [1/det(A)]*adj(A)

So I can just say that because I know that det(A) isn't zero, 1/det(A) is defined and therefore A^(-1) exists?

Well I think that would work. I am not sure what sort of proof you are expected to give though.
 
  • #6
Use the fact that an n*n matrix is invertible if and only if its rank is n.
 

FAQ: Non-zero determinant iff matrix is invertible.

What does it mean for a matrix to have a non-zero determinant?

A matrix's determinant is a numerical value that can be calculated based on the elements of the matrix. If the determinant is non-zero, it means that the matrix is not singular (has an inverse) and has a unique solution when solving linear equations.

How do you calculate the determinant of a matrix?

The determinant of a 2x2 matrix can be calculated by multiplying the top left and bottom right elements, and then subtracting the product of the top right and bottom left elements. For larger matrices, there are various methods such as Gaussian elimination and cofactor expansion.

What is the relationship between a non-zero determinant and matrix invertibility?

A non-zero determinant is a necessary and sufficient condition for a matrix to be invertible. This means that if a matrix has a non-zero determinant, it is guaranteed to have an inverse, and vice versa.

Can a matrix have a non-zero determinant but not be invertible?

No, a matrix cannot have a non-zero determinant and not be invertible. If the determinant is non-zero, then the matrix is guaranteed to have an inverse. On the other hand, if the determinant is zero, the matrix is singular and does not have an inverse.

How does the invertibility of a matrix impact its applications in science and mathematics?

The invertibility of a matrix is crucial in many areas of science and mathematics, as it allows for the solving of linear equations and the manipulation of systems of equations. Additionally, it is used in various fields such as physics, engineering, and economics to model and analyze real-world problems and systems.

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