Is 2 an Eigenvalue of the Matrix Product AB?

  • Thread starter Thread starter sayan2009
  • Start date Start date
  • Tags Tags
    Value
Join the discussion
Registration is free. Ask a follow-up in this thread, or start your own.
11 replies · 3K views
sayan2009
Messages
14
Reaction score
0
please solve this eigen value problem

A nd B are matrices of order n*n.now it is given that sum of each row of A is 2 nd that of B is 1...then show that 2 is an eige value of the product matrix AB
 
Physics news on Phys.org


Let [tex]\vec v[/tex] be an [tex]n \times 1[/tex] vector like this:

[tex] \vec v' = \left[\frac 1 n \frac 1 n \dots \frac 1 n \right][/tex]

Then compute all of

[tex] \begin{align*}<br /> & A \vec v \\<br /> & B \vec v\\<br /> & (AB) \vec v<br /> \end{align*}[/tex]

and remember that for any matrix [tex]W[/tex] and vector [tex]\vec z[/tex], if there is a scalar [tex]k[/tex] such that

[tex] W \vec z = k \vec z[/tex]

then [tex]k[/tex] is an eigenvalue of the matrix [tex]W[/tex].
 
Last edited:


how to compute (AB)v
 


Here is a small example (note: the rows in this matrix do not sum to either 1 or 2, as doing that would be solving the problem for you. However, precisely the same steps work)

[tex] \begin{align*}<br /> A &= \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix}\\<br /> \vec v & = \begin{bmatrix} \frac 1 2 & \frac 1 2 \end{bmatrix}'<br /> \end{align*}[/tex]

Then
[tex] A \vec v = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix} \begin{bmatrix} 1/2 \\ 1/2 \end{bmatrix} = \begin{bmatrix} {(1+2)}/2 \\ {(3+4)}/2 \end{bmatrix}[/tex]

so in this case, and in every case, the product [tex]A \vec v[/tex] has as its entries the means of the rows of [tex]A[/tex].
 


but why should i try to get mean here?i mean i can take v (transpose) as[1 1 1 ... 1](n times)
why r u taking [1/n 1/n ... 1/n]?
 


sayan2009 said:
but why should i try to get mean here?i mean i can take v (transpose) as[1 1 1 ... 1](n times)
why r u taking [1/n 1/n ... 1/n]?

Go ahead. Just use [1,1,1...]. (Not that there's anything wrong with using [1/n,1/n,...], you'll get the same result in the end).
 


Just try the multiplication (or use Dick's suggestion) and notice how the result compares to the vector [tex]\vec v[/tex].

Remember that if [tex]A \vec v = k \vec b[/tex] then [tex]k[/tex] is an eigenvalue of the matrix [tex]A[/tex].
 


so the solution is using v=[1 1 1 1 ... 1]
we can easily get Av=2v & Bv=1v
then(AB)v=A(Bv)=A(1v)=Av=2v
so 2 is an eigen value of AB...
is this right solution??
 


sayan2009 said:
so the solution is using v=[1 1 1 1 ... 1]
we can easily get Av=2v & Bv=1v
then(AB)v=A(Bv)=A(1v)=Av=2v
so 2 is an eigen value of AB...
is this right solution??

(AB)v=2v. That sure looks like it says 2 is an eigenvalue to me.
 


is that solution correct man??
 


Do you have any doubts?? You don't need me to approve your solution. If you believe in it go for it.
 


statdad said:
Just try the multiplication (or use Dick's suggestion) and notice how the result compares to the vector [tex]\vec v[/tex].

Remember that if [tex]A \vec v = k \vec b[/tex] then [tex]k[/tex] is an eigenvalue of the matrix [tex]A[/tex].
Surely you meant [tex]A\vec v= k \vec v[/tex]?
Which is the definition of "eigenvalue".