Linear algebra adjoint, determinant

In summary, the problem asks to determine the (2,3) entry of A-1 by computing a quotient of two determinants. The solution involves dividing the adj(A) by the det(A) to obtain the desired entry.
  • #1
Mdhiggenz
327
1

Homework Statement



Given A=[1 2 1; 0 4 3; 1 2 2]
determine the (2,3) entry of A-1 by computing a quotient of two determinants.

This problem confused me a bit, do they just want us to divide the adj(A) by the det(A) in order which would give us A-1 and just state the (2,3) entry from there?

Thanks

Higgenz



Homework Equations





The Attempt at a Solution

 
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  • #2
Mdhiggenz said:

Homework Statement



Given A=[1 2 1; 0 4 3; 1 2 2]
determine the (2,3) entry of A-1 by computing a quotient of two determinants.

This problem confused me a bit, do they just want us to divide the adj(A) by the det(A) in order which would give us A-1 and just state the (2,3) entry from there?

Thanks

Higgenz

Homework Equations


The Attempt at a Solution


You don't need to compute the whole A^(-1). But as you say, they just want you to compute adj(A)(2,3)/det(A). Just the one entry of A^(-1).
 

Related to Linear algebra adjoint, determinant

What is the linear algebra adjoint?

The linear algebra adjoint, also known as the adjugate or classical adjoint, is a matrix operation that is used to find the inverse of a square matrix. It is denoted as adj(A) or A*, and its elements are the determinants of the minors of the original matrix A.

How is the adjoint of a matrix calculated?

To calculate the adjoint of a matrix, you need to first find the determinants of the minors of the original matrix. Then, you need to take the transpose of the matrix of minors and multiply it by -1 raised to the power of the sum of the row and column indices of each element. This will give you the adjoint matrix.

What is the relationship between the adjoint and the determinant of a matrix?

The determinant of a square matrix A can be calculated using the formula det(A) = A11*adj(A11) + A12*adj(A12) + ... + A1n*adj(A1n), where adj(Aij) represents the adjoint of the minor of A obtained by removing the i-th row and j-th column. In other words, the determinant of a matrix can be expressed in terms of its adjoints.

What is the significance of the adjoint matrix?

The adjoint matrix is important because it is used to find the inverse of a square matrix. It is also used in the Cramer's rule for solving systems of linear equations, and in the calculation of the eigenvalues and eigenvectors of a matrix.

Can the adjoint of a matrix be calculated for non-square matrices?

No, the adjoint can only be calculated for square matrices. This is because the adjoint operation involves finding the determinants of minors, which can only be done for square matrices. For non-square matrices, there are other operations such as the pseudoinverse that can be used to find an "inverse-like" matrix.

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