Is AA^T Always a Symmetric Matrix?

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Homework Help Overview

The problem involves demonstrating that the product of a matrix \( A \) and its transpose \( A^T \) results in a symmetric matrix. This falls under the subject area of linear algebra, specifically focusing on matrix properties and operations.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the proof of the symmetry of \( AA^T \) using matrix element definitions and properties. Some participants question the notation used in the original post, particularly regarding the transpose of matrix elements. Others suggest alternative proofs and clarify misunderstandings about matrix operations.

Discussion Status

The discussion appears to be productive, with participants providing feedback on the original proof attempt and clarifying notation. There is acknowledgment of correct reasoning, and some participants express confidence in the approaches discussed.

Contextual Notes

Some participants note the original poster's lack of experience with proofs and linear algebra, which may influence their understanding of the problem. There is also mention of the original poster's progress in their studies, indicating a learning context.

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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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