Determining invertibility of a matrix

  • Thread starter allanmulin
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In summary, it seems that there may be information in the problem that would allow the matrix C to be invertible, but it has not been found yet.
  • #1
allanmulin
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Let A, B, C, D be matrices such that:

AB + CD = 0

and

B is invertible. Moreover, consider the dimension restrictions:

A(m x n), B(n x n), C(m x m), D(m x n)

If C is a square matrix, is there a way to show that it is also invertible with only the above conditions?
 
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  • #2
If you take A = D = 0, then AB + CD = 0 for any matrix C, so you can't prove C is invertible.
 
  • #3
A and D are non-zero matrices, forget to say.
 
  • #4
Take

[tex]A=\left(\begin{array}{cc} 1 & 1\\ 1 & 1 \end{array}\right), B=\left(\begin{array}{cc} 1 & 0\\ 0 & 1 \end{array}\right), C=\left(\begin{array}{cc} 1 & 1\\ 1 & 1 \end{array}\right), D=\left(\begin{array}{cc} -1 & 0\\ 0 & -1 \end{array}\right)[/tex]
 
  • #5
A and D are rectangular, not square.
 
  • #6
Take

[tex]A=\left(\begin{array}{c} 1\\ 1\end{array}\right), B=\left(\begin{array}{c} 1 \end{array}\right), C=\left(\begin{array}{cc} 1 & 1\\ 1 & 1 \end{array}\right), D=\left(\begin{array}{c} -1\\ 0 \end{array}\right)[/tex]
 
  • #7
The example you gave yields incompatible dimensions: AB is 1x2 and CD is 2x1.
 
  • #8
allanmulin said:
The example you gave have yields incompatible dimensions: AB is 1x2 and CD is 2x1.

I was editing. Check again.

You can really find these things for yourself.
 
  • #9
That's what I am trying to do! B and C should have the same dimension.

A(m x n), B(n x n), C(m x m), D(m x n)
 
  • #10
allanmulin said:
That's what I am trying to do! B and C should have the same dimension.

A(m x n), B(n x n), C(m x m), D(m x n)

Here, m=2 and n=1.
 
  • #11
Yeah, you're right. Thanks a lot.

It seems there is some more information in my physical problem to show that C should be invertible, but could not find it yet.
 

What is a matrix invertibility?

Matrix invertibility refers to the ability to find a unique inverse matrix for a given square matrix. An inverse matrix is a matrix that, when multiplied with the original matrix, results in the identity matrix. In other words, it "undoes" the original matrix.

How do you determine if a matrix is invertible?

A matrix is invertible if its determinant is non-zero. The determinant is a scalar value that can be calculated for a square matrix and indicates the matrix's invertibility. If the determinant is zero, the matrix is not invertible.

What methods can be used to determine invertibility?

The most common method to determine the invertibility of a matrix is to calculate its determinant. Other methods include using Gauss-Jordan elimination or finding the matrix's rank. These methods can also be used to find the actual inverse matrix if it exists.

What happens if a matrix is not invertible?

If a matrix is not invertible, it is referred to as a singular matrix. This means that there is no unique inverse matrix, and the matrix cannot be "undone." In practical terms, this means that the system of equations represented by the matrix has either no solution or an infinite number of solutions.

Why is matrix invertibility important?

Matrix invertibility is essential in many areas of mathematics, science, and engineering. It is used to solve systems of linear equations, perform transformations, and find solutions to differential equations. Invertible matrices also have many applications in computer graphics, data compression, and machine learning.

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