Find an appropriate matrix according to specific conditions

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Homework Help Overview

The discussion revolves around finding appropriate 2x2 matrices that satisfy specific eigenvalue conditions related to given eigenvectors. The problem involves understanding the implications of linear dependence and the relationships between eigenvectors and their corresponding eigenvalues.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the relationships between the given eigenvectors and their eigenvalues, questioning the linear dependence of the vectors and the implications for matrix solutions.

Discussion Status

Participants are actively engaging with the problem, raising questions about the linear dependence of the eigenvectors and discussing the consequences of applying the matrix to these vectors. Some guidance has been offered regarding the implications of the relationships between the vectors, but no consensus on a solution has been reached.

Contextual Notes

There is a mention of potential contradictions arising from the eigenvalue conditions, and participants express a desire for clarification on the reasoning behind the absence of appropriate matrices.

Avibu
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I am facing some difficulties solving one of the questions we had in our previous exam. I am sorry for the bad translation , I hope this is clear.

In each section, find all approppriate matrices 2x2 (if exists) , which implementing the given conditions:

  • 396Ar.png
    is an eigenvector of A with eigenvalue of 10 , and
    izSFL.png
    is an eigenvector of A with eigenvalue of 20
.

  • 396Ar.png
    is an eigenvector of A with eigenvalue of 10 , and EXISTS eigenvector of A with eigenvalue of 20
If there are no matrices matched , explain why.

The Attempt at a Solution


[/B]
I tried to build equations for the first section but I have no idea how to keep from there :

SL6DX.png
Can you please assist ?
Thanks.
 
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What is the relation between ##(1, 3)^T## and ##(2, 6)^T##?
 
I am not sure if I understood your question but the vectors seem to be linearly dependent
 
Avibu said:
I am not sure if I understood your question but the vectors seem to be linearly dependent
Exactly. So what happens when you apply ##A## to those vectors?
 
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If I put those equations from step 3 (above) in a matrix , I will have 2 rows filled with 0's and Rank A < Rank(A|b) => No solution?
I would apprciate if you could explain it better than I do ,becasue I really want to understand what I am doing and how it should be solved.
 
Keep it simpler. You have a vector ##v## such that
$$
A v = 10 v
$$
Take a second vector ##u = 2 v##. What is ##Au##?
 
Ok so, u=2v

{ Av = 10v
{ Au = 20u

{ Av = 10v
{ A(2v) = 20(2v)

{ Av = 10v
{ 2(Av) = 40v

{ Av = 10v
{ Av = 20v

I think I missed the point , I can see what you are trying to do but still can't figure it out
 
Avibu said:
Ok so, u=2v
{ Av = 10v
{ Av = 20v
Isn't this a contradiction?
 
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It is ! :)
It means there are no appropriate matrices.
Thank you so much for your time and your assitance!
 

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