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Mathematics 14 Online
OpenStudy (empty):

The norm of a matrix?!

OpenStudy (dan815):

is the multiplication of eigen values = determinant

OpenStudy (empty):

If a "unit matrix" unit vector in the direction of A is given by: \[\frac{A}{|A|} = U\] what power does k have to be in order for \[\frac{U}{|U|} = U\] if we define:\[|A| = [\det(A)]^k\]

OpenStudy (dan815):

oh ya ofc it is

OpenStudy (empty):

The \[\frac{U}{|U|}=U\] condition is just that if you were to normalize a unit vector you will get a unit vector back.

OpenStudy (anonymous):

U bet. Get my pun? haha

OpenStudy (empty):

lol unfortunately but I groaned @chris00 lol

OpenStudy (dan815):

smh

OpenStudy (anonymous):

;) but yes, unit vectors are quite powerful

OpenStudy (empty):

The thing here is these unit vectors are matrices... This is quite a strange question haha

OpenStudy (empty):

Has a fun answer though I think!

OpenStudy (anonymous):

yeah interesting.

OpenStudy (dan815):

heeres something

OpenStudy (dan815):

why this has to work

OpenStudy (dan815):

if u rewrite any matrix as P^-1 D P

OpenStudy (anonymous):

dan, you cannot be an honorary professor of maths and have ur dp as some chick with a selfie a haha

OpenStudy (dan815):

then we proved that we can commute these matrices around and the determinant is still the same

OpenStudy (dan815):

wait no what did we prove again for 3 matrices multiplying

OpenStudy (empty):

Yeah you don't have to diagonalize it to do this. :P

OpenStudy (dan815):

ya but this can show how this way, if u mulptying my 1/ det(A)^k then u will have a eigen value multiplication that is =1

OpenStudy (dan815):

then u know that U = U/|U| will be satisfied too

OpenStudy (dan815):

as u can once again rewrite U in P^-1DP form

OpenStudy (anonymous):

looks like you have gone along way in linear algebra dan.

OpenStudy (dan815):

are you saying woman cannot be honorary professors of math!

OpenStudy (dan815):

How dare u sir

OpenStudy (dan815):

/mam

OpenStudy (anonymous):

no, you are incorrectly portraying yourself

OpenStudy (anonymous):

:o

OpenStudy (empty):

Yeah if I was a mod I'd ban you right now for this dan

OpenStudy (dan815):

LOL pls

OpenStudy (anonymous):

i'm trying to become a mod soley to accuse dan of fraud

OpenStudy (anonymous):

;)

OpenStudy (empty):

lolol

OpenStudy (empty):

Ok no wasting times on diagonalizing dan, you're not allowed to diagonalize the matrix I forbid it for this problem since it's a waste of time

OpenStudy (empty):

I'll give you a hint to make up for it

OpenStudy (dan815):

finee

OpenStudy (empty):

what's \[\det(\det(A)I)\]

OpenStudy (dan815):

det(a)^3

OpenStudy (dan815):

det(A)^n

OpenStudy (dan815):

for an n size identity matrix

OpenStudy (dan815):

oh i just realized u were asking a question on what k actually has to be xD

OpenStudy (empty):

smh

OpenStudy (dan815):

lol i thought u were already saying its k for like a k by k matrix

OpenStudy (empty):

No, in fact it's an nxn matrix A. K is completely to be determined still

OpenStudy (empty):

Just an interesting observation I noticed right now, if the determinant of a matrix is 1, it's a "unit matrix" lol

OpenStudy (empty):

This is totally made up by me by the way, like I didn't really get this from anywhere I just sorta did this out of fun

OpenStudy (dan815):

|dw:1444803138503:dw|

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