MHB What is the determinant of the identity matrix in a larger matrix?

  • Thread starter Thread starter karush
  • Start date Start date
  • Tags Tags
    Factors
Click For Summary
The determinant of the matrix E, which is a permutation of a 5x5 identity matrix, is calculated to be -1. This is confirmed through cofactor expansion, leading to the conclusion that det(AE) equals -2 when A has a determinant of 2. There is some confusion regarding the notation and the sizes of the matrices involved, but the key point is that the determinant can be computed using simpler methods, such as recognizing the identity structure in the matrix. Ultimately, the determinant of the original matrix can be efficiently determined without extensive cofactor calculations. Understanding these concepts clarifies the relationship between matrix transformations and their determinants.
karush
Gold Member
MHB
Messages
3,240
Reaction score
5
Suppose A is a $5\times5$ matrix such that det(A)=2. Let
$$E=\left[\begin{array}{c}0 & 1 & 0 & 0 & 0 \\ 1 & 0 & 0 & 0 & 0 \\ 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 & 1 \\ \end{array}\right]$$
then
$\left[\begin{array}{c}0 & 1 & 0 & 0 & 0 \\ 1 & 0 & 0 & 0 & 0 \\ 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 & 1 \\ \end{array}\right]=
\left[\begin{array}{c} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \\ \end{array}\right]
=-\left[\begin{array}{c}1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{array}\right]
=-\det\left[\begin{array}{c}1 & 0 \\ 0 & 1 \\ \end{array}\right]=-(1\cdot1)-(0 \cdot 0)=-1$
so
$det(AE)=(2)(-1)=-2$

ok W|A retured $\det(E)=-1$

But I got confused on the signs and assummed things
saw no need to demonstrate the 0 co factors
suggestions are welcome here..
 
Last edited:
Physics news on Phys.org
karush said:
$\left[\begin{array}{c}0 & 1 & 0 & 0 & 0 \\ 1 & 0 & 0 & 0 & 0 \\ 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 & 1 \\ \end{array}\right]=
\left[\begin{array}{c} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \\ \end{array}\right]
=-\left[\begin{array}{c}1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{array}\right]
=-\det\left[\begin{array}{c}1 & 0 \\ 0 & 1 \\ \end{array}\right] $
How can these possibly be equal?? The three matrices aren't the same size and the determinant is a number!

-Dan
 
topsquark said:
How can these possibly be equal?? The three matrices aren't the same size and the determinant is a number!

-Dan

They are co factors multipled by 1
 
karush said:
They are co factors multipled by 1
Cofactors are matrices but they are not the same as the matrix you started with! Please get your notations correct. We can write a determinant in two ways:
[math]det \left [ \begin{matrix} a & b \\ c & d \end{matrix} \right ] = \left | \begin{matrix} a & b \\ c & d \end{matrix} \right |[/math]

What you wrote was neither.

The determinant of the 5 x 5 matrix is -1. You are good right up to your last step. Expanding in cofactors as you did shows that the determinant is indeed -1. That is to say
[math]det \left [ \begin{matrix} 0 & 1 & 0 & 0 & 0 \\ 1 & 0 & 0 & 0 & 0 \\ 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 & 1 \end{matrix} \right ] = - det \left [ \begin{matrix} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{matrix} \right ] [/math]
And continue from here.

-Dan
 
Do we really need to do all these co factor if the original matrix can become rref
 
In fact, the last three columns and rows are just the identity matrix so this determinant can quickly be determined as \left|\begin{array}{cc}0 & 1 \\ 1 & 0 \end{array}\right|= 0(0)- 1(1)= -1.
 
Thread 'How to define a vector field?'
Hello! In one book I saw that function ##V## of 3 variables ##V_x, V_y, V_z## (vector field in 3D) can be decomposed in a Taylor series without higher-order terms (partial derivative of second power and higher) at point ##(0,0,0)## such way: I think so: higher-order terms can be neglected because partial derivative of second power and higher are equal to 0. Is this true? And how to define vector field correctly for this case? (In the book I found nothing and my attempt was wrong...

Similar threads

  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 19 ·
Replies
19
Views
3K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 3 ·
Replies
3
Views
1K