Showing that S is an Eigenvalue of a Matrix

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    Eigenvalue Matrix
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Homework Help Overview

The discussion revolves around an n x n matrix A, where all row sums equal a constant S. Participants are tasked with demonstrating that S is an eigenvalue of A, with an emphasis on identifying an appropriate eigenvector.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants explore the relationship between the matrix A and its eigenvalues, specifically focusing on the implications of the row sums equating to S. There are attempts to manipulate the eigenvalue equation and discussions about finding suitable eigenvectors, including suggestions to consider simple forms of eigenvectors.

Discussion Status

Some participants have shared their attempts at finding eigenvectors and have noted the challenges posed by the lack of specific matrix values. There is recognition of the potential for nontrivial solutions based on the determinant condition, and hints have been offered regarding the nature of the eigenvector to consider.

Contextual Notes

Participants are working under the constraint of not knowing specific values for the matrix A, which complicates their ability to find eigenvectors directly. The problem also emphasizes the need to consider the properties of the matrix related to its row sums.

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Homework Statement


Consider an n x n matrix A with the property that the row sums all equal the same number S. Show that S is an eigenvalue of A. [Hint: Find an eigenvector.]

Homework Equations


##Ax=λx##

The Attempt at a Solution


S is just lambda here, so I begin solving this just like you would normally.
##Ax=Sx##
##Ax-Sx = 0##
##(A-SI)x = 0##

Subtracting gives me the matrix: ##\begin{bmatrix}
a_{11}-S & a_{12} & a_{13} \\
a_{21} & a_{22}-S & a_{23} \\
a_{31} & a_{32} & a_{33}-S
\end{bmatrix}##
My problem is that I don't know how to find an eigenvector from this matrix. I can't row reduce because I don't know any of the values of the matrix, and I can't recall any other way to find the eigenvector.
 
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This one is tricky, but almost simple. I took a lucky guess after looking at it for about 5 minutes and got lucky. One hint: Try a simple eigenvector, but not one that has mostly zeros=in fact, try a very simple eigenvector without any zeros... I may give you an additional hint if you don't see what the eigenvector is that works...
 
Charles Link said:
This one is tricky, but almost simple. I took a lucky guess after looking at it for about 5 minutes and got lucky. One hint: Try a simple eigenvector, but not one that has mostly zeros=in fact, try a very simple eigenvector without any zeros... I may give you an additional hint if you don't see what the eigenvector is that works...

Hmm. Well, using a matrix of all 1's, I get S=3 and the eigenvector is ##x_3
\begin{bmatrix}
1\\
1\\
1
\end{bmatrix}##
 
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Drakkith said:
Hmm. Well, using a matrix of all 1's, I get S=3 and the eigenvector is ##x_3
\begin{bmatrix}
1\\
1\\
1
\end{bmatrix}##
## S ## will not be equal to 3 and/or n. ## S ## will be equal to what each row sums to. ## S ## is the eigenvalue. And yes, you found the correct eigenvector ! :)
 
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Drakkith said:

Homework Statement


Consider an n x n matrix A with the property that the row sums all equal the same number S. Show that S is an eigenvalue of A. [Hint: Find an eigenvector.]

Homework Equations


##Ax=λx##

The Attempt at a Solution


S is just lambda here, so I begin solving this just like you would normally.
##Ax=Sx##
##Ax-Sx = 0##
##(A-SI)x = 0##

Subtracting gives me the matrix: ##\begin{bmatrix}
a_{11}-S & a_{12} & a_{13} \\
a_{21} & a_{22}-S & a_{23} \\
a_{31} & a_{32} & a_{33}-S
\end{bmatrix}##
My problem is that I don't know how to find an eigenvector from this matrix. I can't row reduce because I don't know any of the values of the matrix, and I can't recall any other way to find the eigenvector.
You certainly know that the equation ##(A-SI)x = 0## has nontrivial solutions if the determinant ##|A-SI| = 0##
Remember what operations do not change the value of a determinant. Read the problem. "Consider an n x n matrix A with the property that the row sums all equal the same number S."
 

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