Determinant of Block Matrices: How Do Non-Zero Blocks Affect the Determinant?

In summary, the conversation discusses using a lower triangular block matrix to simplify calculations and determine determinants. The blocks do not have to be of the same size, as long as one of the blocks is zero. This can be a useful tool for various calculations.
  • #1
Dethrone
717
0
View attachment 4098

I don't quite follow this, can anyone explain?
 

Attachments

  • Confusion.PNG
    Confusion.PNG
    8.5 KB · Views: 80
Physics news on Phys.org
  • #2
Hi Rido12. I haven't actually used this fact but it appears what is going on it that we are blocking the matrix into this form:

\(\displaystyle \left(\begin{array}{cc}A_{11} & A_{12} \\ A_{21} & A_{22} \end{array}\right)\)

More particularly we are choosing $A_{12}=0$ so we end up with a lower triangular block matrix that looks like this:

\(\displaystyle \left(\begin{array}{cc}A_{11} &0 \\ A_{21} & A_{22} \end{array}\right)\)

So, $\text{det}\left(\begin{array}{cc}A_{11} &0 \\ A_{21} & A_{22} \end{array}\right)=\text{det}(A_{11}A_{22}-0A_{21})=\text{det}(A_{11}A_{22})=\text{det}(A_{11})\text{det}(A_{22})$

I think that's the basic argument. Here is a link with some useful info on it as well. :)
 
  • #3
Hi Jameson! :D

Thanks for the reply - so it appears that the blocks don't have to be of the same size? By that, I mean $A_{11}$ appears to be of size $2$ by $2$ while $A_{21}$ seems to be of $3$ by $2$. If so, this seems to be a pretty useful tool! (Cool)
 
  • #4
Rido12 said:
Hi Jameson! :D

Thanks for the reply - so it appears that the blocks don't have to be of the same size? By that, I mean $A_{11}$ appears to be of size $2$ by $2$ while $A_{21}$ seems to be of $3$ by $2$. If so, this seems to be a pretty useful tool! (Cool)

Hey Rido! ;)

See here.

So the block matrices can be of any size, but either right top, or left bottom has to be zero.
 

FAQ: Determinant of Block Matrices: How Do Non-Zero Blocks Affect the Determinant?

What is a determinant of a block matrix?

The determinant of a block matrix is a numerical value that is computed using the elements of the matrix. It is used to determine certain properties of the matrix, such as its invertibility and the solutions to systems of equations involving the matrix.

How is the determinant of a block matrix calculated?

The determinant of a block matrix can be calculated by expanding the matrix into smaller submatrices and recursively computing the determinants of those submatrices. Alternatively, it can be calculated using the properties of determinants, such as the product rule and the sum rule.

What are the properties of the determinant of a block matrix?

The determinant of a block matrix has several important properties, including linearity, multiplicativity, and the fact that it is equal to the product of the eigenvalues of the matrix. It also has a geometric interpretation as the volume of the parallelepiped spanned by the column vectors of the matrix.

How does the determinant of a block matrix affect the solutions to systems of equations?

The determinant of a block matrix is closely related to the solutions of systems of equations involving the matrix. If the determinant is non-zero, the matrix is invertible and the system has a unique solution. If the determinant is zero, the matrix is singular and the system may have either no solutions or infinitely many solutions.

Can the determinant of a block matrix be negative?

Yes, the determinant of a block matrix can be negative. The determinant is a numerical value and can be positive, negative, or zero. The sign of the determinant depends on the arrangement of the elements in the matrix, and it does not necessarily indicate any physical or mathematical significance.

Back
Top