Is AA^T Always a Symmetric Matrix?

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The discussion centers around proving that the product AA^T is a symmetric matrix, as posed in a homework problem from Mary Boas. The proof involves showing that the elements of the matrix satisfy the condition (AA^T)_{ij} = (AA^T)_{ji}, which confirms symmetry. Participants clarify the notation and correct misunderstandings regarding matrix elements, emphasizing the importance of proper indexing. Chris shares a more elegant proof approach using the transpose property of matrix products. The conversation highlights the challenges faced by learners new to linear algebra while providing encouragement and support.
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Homework Statement



Mary Boas 3.9.5

Show that the product AA^T is a symmetric matrix.

Homework Equations



$${ \left( AB \right) }_{ ij }=\sum _{ k }^{ }{ { A }_{ ik } } { B }_{ kj }$$

The Attempt at a Solution



I do not have a solution for this one, so could someone please check my work? I never took geometry or was required to do any proofs in calculus, so go easy on me.

If $${ \left( AA \right) }_{ ij }=\sum _{ k }^{ }{ { A }_{ ik } } A_{ kj }$$, then $${ \left( A{ A }^{ T } \right) }_{ ij }=\sum _{ k }^{ }{ { A }_{ ik } } A_{ jk }$$.

∴ $${ \left( A{ A }^{ T } \right) }_{ ij }=\sum _{ k }^{ }{ { A }_{ jk } } A_{ ik }=\sum _{ k }^{ }{ { A }_{ jk } } { A }_{ ki }^{ T }={ \left( A{ A }^{ T } \right) }_{ ji }$$

Since, $$ { \left( A{ A }^{ T } \right) }_{ ij }={ \left( A{ A }^{ T } \right) }_{ ji }$$, $$A{ A }^{ T } $$ is a symmetric matrix.
 
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Yes, it looks fine to me. Using exactly the same method of proof, you can show that ##(XY)^T = Y^T X^T## for any matrices ##X## and ##Y## of the appropriate size for the product to make sense. The symmetry of ##AA^T## is a special case of this result: set ##X = A## and ##Y = A^T##.
 
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You cannot have ##A_{ki}^T## because ##A_{ki}## is a term in the matrix. Note however that the terms commute so

##A_{jk}A_{ik}=A_{ik}A_{jk}##

##(AA^T)_{ij}=\sum_kA_{jk}A_{ik}=\sum_kA_{ik}A_{jk}=(AA^T)_{ji}##
 
xiavatar said:
You cannot have ##A_{ki}^T## because ##A_{ki}## is a term in the matrix.
I assumed he meant ##(A^T)_{ki}##, the element in row ##k## and column ##i## of ##A^T##, which is of course the same as ##A_{ik}##.
 
Okay, then its fine.
 
Yes, indeed that is what I meant, but I did not know how to express it.

Chris
 
A friend of mine suggested $${ { (AA }^{ T }) }^{ T }={ A }^{ T }A$$ which is incorrect, but it led me to the MUCH more elegant proof using the "Relevant EQ" above to get $${ { (AA }^{ T }) }^{ T }={ AA }^{ T }$$. I think that does the job very nicely.

Regards,
Chris Maness
 
kq6up said:
$${ { (AA }^{ T }) }^{ T }={ AA }^{ T }$$. I think that does the job very nicely.
Both correct and nice. Very nicely indeed.
 
Thank you for the encouragement. I have been working my butt off in this book. I started chapter 1 in the middle of February and I am only in Chapter 3, but I am doing every problem I have a solution and/or answer for. Chapter 3 is hard work because I have never had linear algebra.

Chris
 

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