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

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SUMMARY

The discussion centers on the conditions under which the product of matrices remains symmetric. Specifically, it addresses the properties of block matrices, symmetric matrices, and the implications of matrix transposition. The participants clarify that the block matrix [0 A; A 0] is not automatically symmetric unless A is symmetric. Additionally, they conclude that the product of two symmetric matrices is not necessarily symmetric, as demonstrated by counterexamples. The importance of selecting appropriate matrices for testing properties is emphasized throughout the conversation.

PREREQUISITES
  • Understanding of symmetric matrices and their properties
  • Familiarity with block matrices and their transpositions
  • Knowledge of matrix multiplication rules
  • Basic concepts of linear algebra, including matrix inverses
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  • Research the properties of block matrices in linear algebra
  • Study the conditions under which matrix products are symmetric
  • Learn about counterexamples in matrix theory to strengthen understanding
  • Explore the implications of matrix transposition on symmetry
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators seeking to clarify concepts related to matrix symmetry and properties.

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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