Is 2 an Eigenvalue of the Matrix Product AB?

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Homework Help Overview

The discussion revolves around determining whether 2 is an eigenvalue of the product of two matrices, A and B, given specific properties about their row sums. The matrices are of order n*n, with the sum of each row of A being 2 and that of B being 1.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the implications of the row sums of matrices A and B on the eigenvalues of the product AB. There are discussions about the choice of the vector used in calculations, with some suggesting a uniform vector and others questioning the reasoning behind using a specific form of the vector.

Discussion Status

Several participants have attempted to compute the product (AB)v and have discussed the implications of their results. There is an ongoing exploration of the validity of the proposed solutions, with some participants expressing confidence in their reasoning while others seek clarification on the definitions and properties involved.

Contextual Notes

There is a focus on the definitions of eigenvalues and the conditions under which they can be determined. Some participants express uncertainty about the correctness of their approaches and the assumptions made regarding the vectors used in the calculations.

sayan2009
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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 \vec v be an n \times 1 vector like this:

<br /> \vec v&#039; = \left[\frac 1 n \frac 1 n \dots \frac 1 n \right]<br />

Then compute all of

<br /> \begin{align*}<br /> &amp; A \vec v \\<br /> &amp; B \vec v\\<br /> &amp; (AB) \vec v<br /> \end{align*}<br />

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

<br /> W \vec z = k \vec z<br />

then k is an eigenvalue of the matrix W.
 
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)

<br /> \begin{align*}<br /> A &amp;= \begin{bmatrix} 1 &amp; 2 \\ 3 &amp; 4 \end{bmatrix}\\<br /> \vec v &amp; = \begin{bmatrix} \frac 1 2 &amp; \frac 1 2 \end{bmatrix}&#039;<br /> \end{align*}<br />

Then
<br /> A \vec v = \begin{bmatrix} 1 &amp; 2 \\ 3 &amp; 4 \end{bmatrix} \begin{bmatrix} 1/2 \\ 1/2 \end{bmatrix} = \begin{bmatrix} {(1+2)}/2 \\ {(3+4)}/2 \end{bmatrix}<br />

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


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 \vec v.

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


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.
 
  • #10


is that solution correct man??
 
  • #11


Do you have any doubts?? You don't need me to approve your solution. If you believe in it go for it.
 
  • #12


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

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

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