Matrix has no inverse for skew symmetric matrix

In summary, the conversation discusses how to show that for a matrix A with dimensions n by n (where n is an odd number) and is skew symmetric, it has no inverse. The participants suggest using the definition of transpose and the determinant, and provide hints for approaching the problem. It is ultimately determined that in order for the inverse to exist, the determinant must not equal zero, and the formula |-A| = (-1)^n|A| is used to prove that the determinant of A must be equal to 0, thus showing that the matrix has no inverse.
  • #1
t_n_p
595
0
[SOLVED] Show matrix has no inverse

Homework Statement



Show that for a matrix A that has dimensions n by n (where n is an odd number) and is skew symmetric (i.e. transpose of A = -A) that it has no inverse

The Attempt at a Solution



Not sure where to start but have a feeling I have to used the definition transpose of A = -A to find the determinant first.
 
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  • #2
t_n_p said:
Not sure where to start but have a feeling I have to used the definition transpose of A = -A to find the determinant first.
Good idea. If you can relate the determinant of A to the determinant of -A, then you may have a chance.
 
  • #3
For starters, I've decided to choose n=3. When creating matrix A and hence -A, should I just nominate values of a,b,c etc and have the determinant in terms of each matrix entry like I've shown below? Where to from here?

http://img74.imageshack.us/img74/9438/59195012ss6.jpg
 
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  • #4
t_n_p said:
For starters, I've decided to choose n=3. When creating matrix A and hence -A, should I just nominate values of a11, a12, a13 etc and have the determinant in terms of each matrix entry?

No. You should keep n as an arbitrary odd number, and keep A an arbitrary matrix, if you want to answer the question.

Hint: How are the determinant of a matrix and its transpose related?
 
  • #5
try to look what is
[tex]A^T A [/tex]
then use the rule for determinant of product.
 
  • #6
uhh sorry, just look what determinant of transpose matrix is as cristo said.
 
  • #7
cristo said:
No. You should keep n as an arbitrary odd number, and keep A an arbitrary matrix, if you want to answer the question.

Hint: How are the determinant of a matrix and its transpose related?

NumberedEquation15.gif


What then? :confused:
 
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  • #8
t_n_p said:
NumberedEquation15.gif


What then? :confused:
Correct. You have yet to make use if this information,
t_n_p said:
(i.e. transpose of A = -A)
 
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  • #9
Ok, so
|A| = |transpose of A| = |-A|

But how do I show no inverse exists?
 
  • #10
|-A|=(-1)^n|A|
but you need to know this before using this.
and there is no other way here.
 
  • #11
loop quantum gravity said:
|-A|=(-1)^n|A|
but you need to know this before using this.
and there is no other way here.

You should not give solutions to homework problems (and this is, in essence, a solution).

You can give hints, or suggestions of ways to attack the problem. For example, one could ask if the OP could express det(pA) in terms of det(A), in the case of an nxn matrix. The result then follows on setting p=-1. However, just giving a formula does not help the student learn anything.
 
  • #12
so now
|A| = |transpose of A| = |-A| = (-1)^n|A|

I still don't get it
 
  • #13
t_n_p said:
so now
|A| = |transpose of A| = |-A| = (-1)^n|A|

Still can't see how to piece it all together though..
t_n_p, as cristo has said, you have virtually been given the answer by LQG. Try thinking about what has been said for a while before asking further questions. We won't hold you're hand through every single step of every single question, you have to do some work.
 
  • #14
I've thought about it. The formula provided by LQG does not register anything to me. Yes, I know
NumberedEquation4.gif

and the determinant of A can supposedly be found using the formula provided by LQG, but my denominator thus appears merely as (-1)^n|A|. I am also unfamiliar with raising constants to the power of a matrix. I can not see how this is relevant or useful to proving the inverse does not exist. Hence my question is how is it related to what I want to know?
 

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  • #15
What is the condition for the existence of the inverse to a matrix, in terms of the determinant? This is something you learn in the first few weeks of a linear algebra course, so if you're not sure, then look through your course notes, or textbook.
 
  • #16
cristo said:
You should not give solutions to homework problems (and this is, in essence, a solution).

You can give hints, or suggestions of ways to attack the problem. For example, one could ask if the OP could express det(pA) in terms of det(A), in the case of an nxn matrix. The result then follows on setting p=-1. However, just giving a formula does not help the student learn anything.

yes, but from his posts here you can see that he doesn't recall this equation, this is why i urged him to prove it and then use it, if he just uses then he will not learn anything.
 
  • #17
for the inverse to exist, determinant must not equal zero. So if I set the equation given by LQG and equate to zero, the inverse will not exist?

i.e. (-1)^n|A| = 0
 
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  • #18
t_n_p said:
for the inverse to exist, determinant must not equal zero.
Correct. You have a further condition on the matrix which you have not yet used.
 
  • #19
t_n_p said:
So if I set the equation given by LQG and equate to zero, the inverse will not exist?

i.e. (-1)^n|A| = 0

No, now's the time you need to think a little. Why are you setting that to zero? It seems like you're just doing it to satisfy the condition!

You know that, since the matrix is skew-symmetric, that det(A)=det(-A). You also have the expression that lqg gave you: det(-A)=(-1)^n.det(A). Put these two together, and what do you get?

I'm not sure how I can help any more without explicitly telling you the answer!
 
  • #20
Ok, I think I'm looking too hard into this.

Basically I want to show that |A| = 0, and hence the inverse does not exist.

I know that
http://img142.imageshack.us/img142/876/83639370us7.jpg

Say I ignore |-A| for the time being, and therefore I have |A| = (-1)^n|A|. I then divide both sides by |A| and take log10 both sides. Am I on the right track?
 
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  • #21
What you have is det(A)=det(-A)=(-1)^n.det(A) (note that det(A) is not in the exponent!)

What do you know about n? What does the equation reduce to on utilising this condition?
 
  • #22
pffft no wonder.

|A| = |-A| = (-1)^n . |A|,

since n is odd,
|A| = |-A| = -|A|

|A| = |-A| + |A|

|-A| = 0

since |-A| = |A|,

|A| = 0 and hence inverse does not exist
 
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  • #23
t_n_p said:
pffft no wonder.

|A| = (-1)^n . |A|
1 = (-1)^n

You know you can only cancel something from both sides if that thing is not zero. Here you want to show it is zero, so you can't cancel it!

Anyway, you have det(A)=-det(A). Under what conditions does this apply?
 
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  • #24
I've edited my above post, is your post still relevant?

Let's start from scratch.

|A| = |transpose A|

since A is skew symmetric we also know
|transpose A| = |-A|

therefore, |A| = |transpose A| = |-A|

also |-A| = (-1)^n. |A|

therefore |A| = |transpose A| = |-A|= (-1)^n. |A|

since n is odd,
|A| = |transpose A| = |-A|= (-1)|A|
 
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  • #25
t_n_p said:
I've edited my above post, is your post still relevant?
You shouldn't edit posts using the advice of the reply: it makes threads look very disjoint.

t_n_p said:
Let's start from scratch.

|A| = |transpose A|

since A is skew symmetric we also know
|transpose A| = |-A|

therefore, |A| = |transpose A| = |-A|

also |-A| = (-1)^n. |A|

therefore |A| = |transpose A| = |-A|= (-1)^n. |A|

since n is odd,
|A| = |transpose A| = |-A|= (-1)|A|
Ok, so now you're up to my last post:
me said:
Anyway, you have det(A)=-det(A). Under what conditions does this apply?

Can you answer this?
 
  • #26
I've looked through my notes/textbook, can't seem to locate when |A| = -|A|. Google search says something about left handed matrix?
 
  • #27
t_n_p said:
I've looked through my notes/textbook, can't seem to locate when |A| = -|A|. Google search says something about left handed matrix?

This is just algebra, there's nothing special to it. The determinant of a matrix is an integer, let's say d. So, you want to know for which integer does d=-d or for which integer does 2d=0?
 
  • #28
when d = 0, therefore |A| = -|A| ONLY when |A| = 0

since |A| = 0, inv(A) does not exist.

SOLVED.
Thanks Cristo, appreciate it mate.
 
  • #29
t_n_p said:
when d = 0, therefore |A| = -|A| ONLY when |A| = 0

since |A| = 0, inv(A) does not exist.

SOLVED.
Thanks Cristo, appreciate it mate.

Well done; you're welcome.
 

1. What does it mean for a matrix to have no inverse?

When a matrix has no inverse, it means that there is no other matrix that can multiply with it to produce the identity matrix. In other words, the matrix cannot be reversed or "undone".

2. How can you tell if a matrix has no inverse?

A matrix has no inverse if its determinant is equal to 0. The determinant is a numerical value that represents certain properties of the matrix. If the determinant is 0, it means that the matrix is not invertible and has no inverse.

3. Why is it important to know if a matrix has no inverse?

Knowing if a matrix has no inverse is important because it affects the solutions to a system of linear equations. If a matrix has no inverse, it means that the system has either no solution or infinitely many solutions.

4. Can a matrix have more than one inverse?

No, a matrix can only have one inverse. If a matrix has an inverse, it is unique and cannot have any other inverse. This is because the inverse of a matrix is defined as the matrix that, when multiplied with the original matrix, produces the identity matrix.

5. What types of matrices typically have no inverse?

Square matrices with a determinant of 0 typically have no inverse. This includes matrices with rows or columns that are linearly dependent, as well as matrices with all 0 entries in a row or column. Additionally, non-square matrices and matrices with complex numbers can also have no inverse.

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