Find the eigenvectors in the given problem

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The discussion focuses on finding eigenvectors related to a matrix equation A.P=0, where P consists of variables x, y, z, and m. The equations derived include 24x - 12y + 4z = 0 and 4m = 0, leading to a specific solution when y is set to zero. The conversation highlights that multiple bases can be formed from the eigenvectors, emphasizing that if {v1, v2} is a basis, then {v1 + 2v2, v2} is also valid. Additionally, the determinant of the lower triangular matrix is nonzero, indicating that its kernel is trivial. The discussion concludes with a note on the implications of invertible matrices on the basis of vector spaces.
chwala
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Homework Statement
See attached.
Relevant Equations
Diagonalization of matrices.
Consider this attachment,

1744681565633.png


In my understanding we have these equations, using P={x,y,z,m], For A.P=0

##24x-12y+4z=0##

##4m=0##

I can see how they got the first one, by letting ##y=0, 24x+4z=0## ⇒##x=1,y=-6## that is clear,

My question is, we can as well have other possibilities other than what is given, correct?

I may as well make ##z=0## to give, ##v_1=\begin{vmatrix}
1 \\
2 \\
0\\
0
\end{vmatrix}##
 
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##(1,2,0,0)^\tau = v_1+2v_2,## so yes. If ##\{v_1,v_2\}## is a basis, so is ##\{v_1+2v_2,v_2\}.##
There is never only one basis (except one-dimensional ##\mathbb{F}_2## spaces).
 
There are some typos in the original post.

chwala said:
using P={x,y,z,m]
using ## \textbf{P}=\begin{bmatrix}x&y&z&m\end{bmatrix}^T ##

chwala said:
For A.P=0
For ## \textbf{A}\cdot\textbf{P}=-2\cdot\textbf{P} ##

chwala said:
by letting ##y=0, 24x+4z=0## ⇒##x=1,y=-6## that is clear,
by letting ## y=0 ##, ## 24x+4z=0 ## ## \implies ## ## x=1 ##, ## z=-6 ## that is clear,
 
Well, given this is a lower triangular matrix its determinant is the product of the diagonal elements and nonzero, so its kernel is {0}. Or did I miss something?
 
Given a basis ##B_n; |B_n|=n## and an invertible ##n \times n## matrix M, then ##MB_n## is a basis too.
 
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