Matrix is Invertible: is this notation ok?

In summary, when discussing the invertibility of a matrix A, it is best to simply state that A is invertible rather than using shorthand notation such as A \ \exists A^{-1}. This notation may be confusing and not as effective in clearly communicating the concept.
  • #1
kostoglotov
234
6
Quick question, not even sure if I should post it here, but I can't think where else. If I wanted to write the short hand of A is an invertible matrix, would it be ok to just write

[tex]A \ \exists A^{-1}[/tex]

?
 
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  • #2
That looks strange to me. It's better to just say that A is invertible. Trying to use short hand will just be confusing.
 
  • #3
"[itex]\det(A) \neq 0[/itex]"
 
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Likes Daeho Ro and kostoglotov
  • #4
kostoglotov said:
Quick question, not even sure if I should post it here, but I can't think where else. If I wanted to write the short hand of A is an invertible matrix, would it be ok to just write

[tex]A \ \exists A^{-1}[/tex]

?
I agree with FactChecker. Just say (in words) that A is invertible. Sometimes notation is not helpful in communicating clearly.
 

FAQ: Matrix is Invertible: is this notation ok?

How do you know if a matrix is invertible?

A matrix is invertible if its determinant is not equal to 0. This means that the matrix has a unique solution and can be reversed to obtain the original matrix.

Can any matrix be inverted?

No, not all matrices can be inverted. Only square matrices (same number of rows and columns) with a non-zero determinant can be inverted.

What is the notation for an invertible matrix?

The notation for an invertible matrix is A-1, where A is the original matrix and -1 represents the inverse of the matrix.

How do you find the inverse of a matrix?

To find the inverse of a matrix, you can use the Gauss-Jordan elimination method or the adjugate matrix method. These methods involve manipulating the original matrix to obtain the inverse matrix.

Why is it important for a matrix to be invertible?

An invertible matrix is important because it allows us to solve systems of equations, perform matrix operations, and find the inverse of a linear transformation. It also helps to determine the uniqueness of a solution and the rank of a matrix.

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