What properties do matrices need to have to ensure their product is symmetric?

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Homework Help Overview

The discussion revolves around the properties of matrices that ensure their product is symmetric. Participants explore various statements related to symmetric matrices and their products, questioning the validity of these statements and the conditions under which they hold true.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss specific examples of symmetric matrices and their products, questioning whether certain properties lead to symmetry. There is an exploration of block matrices and the implications of transposing them. Some participants express confusion about why certain statements regarding symmetry are not universally true.

Discussion Status

The discussion is active, with participants providing examples and counterexamples to clarify their understanding. Some guidance is offered regarding the selection of matrices and the importance of avoiding overly specific cases that may not represent the general situation. There is an ongoing examination of the assumptions behind the statements being discussed.

Contextual Notes

Participants note the importance of understanding the properties of matrices beyond specific examples, highlighting the need for generalizable reasoning. There is mention of homework constraints and the challenge of applying theoretical knowledge to practical examples.

rocomath
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what?

2.7

7. True or False

a. The block matrix [0 A / A 0 ] is automatically symmetric.

If it's symmetric along it's diagonal, A = A^T. So why isn't this true? It also holds true for a 3 x 3.

b. If A and B are symmetric then their product AB is symmetric.

Seems like it to me.

c. If A is not symmetric then A^-1 is not symmetric.

Yay, got 1 right :p

d. When A, B, C are symmetric, the transpose of ABC is CBA.

Hmm ... I did all that work and wrong? I want to sleep!

Ok, I got all these wrong except c. I kinda figured when I got True for all. LOL, someone please help me :)

http://img159.imageshack.us/img159/1653/linearalgebra001ku8.jpg
 
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I wrote b down incorrect in the 2nd step, but I still got a symmetric matrix after fixing it.
 
You can't prove things by picking specific examples, right? I mean for b) A=[[1,0],[0,0]], B=[[0,1],[1,0]]. They are both symmetric. AB is NOT symmetric. You are picking very specific examples which are largely multiples of the identity matrix. Many things are true for multiples of the identity which aren't true of matrices in general. For example a multiple of the identity commutes with EVERYTHING.
 
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Ok, I see your point with b and I can also apply it to d. However, with A, I don't see why it's not automatically symmetric. The variable A symmetric along the diagonal, and transposing it, I get A = A^T.

My choices for b & d were too specific as you said, but I was told what to use for a. argh ...
 
It's a block matrix. The transpose of [[0,A],[A,0]] is [[0,A^T],[A^T,0]]. Pick an A that's not symmetric. I don't think you were told A is symmetric.
 
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And you didn't get c) correct for the right reason. 2x2 matrices don't necessarily prove anything either. Try just using (A^T)^(-1)=(A^(-1))^T.
 
Dick said:
And you didn't get c) correct for the right reason. 2x2 matrices don't necessarily prove anything either. Try just using (A^T)^(-1)=(A^(-1))^T.
Ok, since A wasn't symmetric, I found that (A^T)^(-1) did not equal (A^(-1))^T.
 
Dick said:
It's a block matrix. The transpose of [[0,A],[A,0]] is [[0,A^T],[A^T,0]]. Pick an A that's not symmetric. I don't think you were told A is symmetric.
Block matrix ... hmm ... block matrix ... must look this up.
 
rocomath said:
Block matrix ... hmm ... block matrix ... must look this up.

Good idea! :)
 
  • #10
Hey Dick, how did you come up your examples? Did you already know your matrices were not going to be symmetric as a product? Simply through trial and error?

I've had similar problems like that in previous sections, and I did them correctly but this time I completely failed :(
 
  • #11
Pick matrices that have no more properties than they actually NEED to have. Avoid examples that are diagonal. That's what went wrong in b). One of the matrices is diagonal and automatically commutes. Pick one that isn't diagonal. The odds are really high you'll find the result isn't symmetric.
 

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