Find the eigenvectors in the given problem

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Homework Help Overview

The discussion revolves around finding eigenvectors associated with a matrix, specifically examining the implications of the characteristic polynomial and the associated equations derived from it. The subject area includes linear algebra concepts related to eigenvalues and eigenvectors.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore different ways to derive eigenvectors from the given equations, questioning the uniqueness of the solutions and discussing the implications of varying parameters such as setting different variables to zero.

Discussion Status

The discussion is active, with participants providing insights into the nature of eigenvector bases and the properties of the matrix in question. Some participants have pointed out potential typos and clarified definitions, while others have raised questions about the implications of the matrix's structure on its kernel.

Contextual Notes

There are mentions of specific assumptions regarding the matrix being lower triangular and the implications for its determinant and kernel. Additionally, the discussion includes references to the dimensionality of vector spaces and the nature of bases in linear algebra.

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).
 
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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,
 
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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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