Inverse of a matrix + determinant

In summary, to determine if a matrix is invertible or not, we can check its determinant. If the determinant is zero, the matrix does not exist because the inverse of the determinant would be an infinite number. This is because the inverse matrix is found by dividing each term of the original matrix by the determinant, and dividing by zero is undefined. Another way to think about it is that the product of two numbers must equal one, so the determinant cannot be zero.
  • #1
JamesGoh
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To determine if a matrix is invertible or not, can we determine this by seeing if the determinant of the matrix is zero or non-zero ?

If it's zero, then the matrix doesn't exist because the inverse of the determinant would be an infinite number ?
 
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  • #2
JamesGoh said:
To determine if a matrix is invertible or not, can we determine this by seeing if the determinant of the matrix is zero or non-zero ?

Yes.

If it's zero, then the matrix doesn't exist because the inverse of the determinant would be an infinite number ?

I think "matrix" was a typo for "inverse matrix".

You need to be careful about how you use the word "infinite" in mathematics, but your basic idea is right.
 
  • #3
A reason for that is that the inverse of an invertible matrix is the matrix in which the "ij" term is the minor of the "ji" term of the original matrix divided by the determinant. Given an "ji" term, it has a minor so the only problem is that we cannot divide by 0.
 
  • #4
Another way of looking at it (for nxn-matrices):

Det(AB)=DetADetB;

In our case, say we have an inverse A' for A, then:

AA'=I , so that,

Det(AA')=DetADetA'=DetI=1,

So you need two numbers whose product equals one, and that rules out DetA=0.
 
  • #5


Yes, that is correct. The invertibility of a matrix is determined by its determinant. If the determinant is non-zero, then the matrix is invertible and its inverse can be calculated. However, if the determinant is zero, the matrix is not invertible and its inverse does not exist. This is because the inverse of a matrix is defined as the reciprocal of its determinant, and dividing by zero is undefined. Therefore, the determinant serves as a useful tool in determining the invertibility of a matrix.
 

1. What is the inverse of a matrix?

The inverse of a matrix is a matrix that, when multiplied by the original matrix, results in the identity matrix. In other words, it "undoes" the effects of the original matrix.

2. How is the inverse of a matrix calculated?

The inverse of a matrix is calculated by using a series of mathematical operations called row operations. These operations include multiplying a row by a constant, swapping two rows, and adding a multiple of one row to another row.

3. What is the determinant of a matrix?

The determinant of a matrix is a scalar value that represents certain properties of the matrix. It is calculated by a specific formula and can tell us important information about the matrix, such as whether it is invertible or not.

4. What is the relationship between the inverse of a matrix and its determinant?

The determinant of a matrix is closely related to its inverse. If the determinant of a matrix is non-zero, then the matrix has an inverse. On the other hand, if the determinant is zero, the matrix does not have an inverse.

5. Why is the inverse of a matrix important?

The inverse of a matrix is important in many fields of science, including engineering, physics, and economics. It allows us to solve systems of equations, find the inverse of linear transformations, and perform operations such as division on matrices.

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