Is 2 an Eigenvalue of the Matrix Product AB?

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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
 
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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].
 
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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??
 


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".