Symmetric matrix with eigenvalues

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Homework Help Overview

The problem involves a symmetric matrix A defined as a linear combination of rank 1 matrices formed from an orthonormal basis in Rn. Participants are tasked with demonstrating that A is symmetric and identifying its eigenvalues and corresponding eigenvectors.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Some participants express uncertainty about how to begin the proof, seeking hints or guidance. Others attempt to clarify the conditions for symmetry and the implications of the orthonormal basis. Questions arise regarding the correct application of matrix properties and the relationship between A and its eigenvalues.

Discussion Status

Participants are actively engaging with the problem, sharing their thoughts and attempting to clarify concepts. Some have proposed partial reasoning regarding the symmetry of A and the relationship between A and its eigenvectors, while others are still grappling with the details of the proof.

Contextual Notes

There is a mention of a picture that may contain relevant information, but its content is not described. Participants also note the importance of using precise language when discussing matrix operations.

Ylle
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Homework Statement


Let {u1, u2,...,un} be an orthonormal basis for Rn and let A be a linear combination of the rank 1 matrices u1u1T, u2u2T,...,ununT. If

A = c1u1u1T + c2u2u2T + ... + cnununT

show that A is a symmetric matrix with eigenvalues c1, c2,..., cn and that ui is an eigenvector belonging to ci for each i.



Homework Equations



No clue...

The Attempt at a Solution



I'm really stuck with this problem. So I'm really just hoping for a little hint or something.
It SOUNDS easy, but as I said, I have no clue where to start.

Hope you can help.


Regards
 
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Hi Ylle! :smile:
Ylle said:
… show that A is a symmetric matrix with eigenvalues c1, c2,..., cn and that ui is an eigenvector belonging to ci for each i.

(i assume you can prove that A is symmetric)

You just need to prove that Aui = ciui

(and remember the basis is orthonormal :wink:)
 


Hi :)

I'm not totally sure about the first, but I have this (See the picture added). I don't know if it is proved there ?
For it to be symmetric it's it has to be: A = AT, right ?

And the next I can't figure out what you mean :?
If you add ui to A I guess you can remove the u1-n and u1-nT because they become the identitymatrix for all of them. And then you have c1-nui left. So how do I make the c1-n to ci ? :)
 

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Ylle said:
I'm not totally sure about the first, but I have this (See the picture added). I don't know if it is proved there ?
For it to be symmetric it's it has to be: A = AT, right ?

Hi Ylle! :smile:

Yes, A = AT.

But your proof doesn't work, because transpose is like inverse … it alters the order of things … so (AB)T = BTAT :wink:
And the next I can't figure out what you mean :?

Just write Aui in full (using the orthonormality of the u's) …

what do you get? :smile:
 


Well, my guess is you have:

A = ciuiuiT

If you then add ui on both sides you get:

Aui = ciuiuiTui

And because uiuiT = <ui,<ui> = ||ui|| = 1 since it's a basis, you have:

Aui = ciui


Don't know if that is correct ?
 
Hi Ylle! :smile:

(btw, please don't say "add" :eek: … say "multiply", or if you prefer a more neutral word, "apply" :wink:)
Ylle said:
… And because uiuiT = <ui,<ui> = ||ui|| = 1 since it's a basis, you have:

Aui = ciui

Don't know if that is correct ?

Yup, that's fine …

that's what "orthonormal" is all about! :biggrin:

but … you still have to deal with all the u's in the ∑ that aren't that particular ui

use the orthonormal property again. :smile:
 

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