Linear algebra - Diagonalizable matrix

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Homework Help Overview

The discussion revolves around the properties of a 5x5 matrix A in the context of linear algebra, specifically focusing on its diagonalizability. The original poster presents a problem involving eigenvectors and eigenvalues, along with certain conditions related to the spectral radius of modified matrices.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • The original poster attempts to connect given eigenvectors and conditions to demonstrate that A is diagonalizable. They express uncertainty about how to proceed with the information provided.
  • Some participants question how to derive additional independent eigenvectors from the information about the eigenvalue and the existing eigenvectors.
  • Others suggest that finding two more independent eigenvectors is necessary for diagonalizability, given the three provided.

Discussion Status

The discussion is ongoing, with participants exploring various approaches to identify additional eigenvectors. Some guidance has been offered regarding the relationship between the number of independent eigenvectors and diagonalizability, but no consensus has been reached on the next steps.

Contextual Notes

The original poster notes the challenge of connecting multiple pieces of information, including eigenvectors and spectral radius conditions, without a clear path forward. There is also a mention of the need to find two more independent eigenvectors to satisfy the diagonalizability condition.

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This question has a lot data but I don't really know how to connect it all together

Homework Statement



Let A be a 5x5 matrix over R

3 eigenvectors of A are:
[itex]u_1=(1,0,0,1,1)[/itex]
[itex]u_2=(1,1,0,0,1)[/itex]
[itex]u_3=(-1,0,1,0,0)[/itex]

also:
[itex]\rho (2I-A)>\rho (3I-A)[/itex]

and: [itex]A(1,2,2,1,3)^t=(0,4,6,2,6)^t[/itex]

prove that A is diagonalizable and find a diagonal matrix similar to it.

Homework Equations


The Attempt at a Solution



What I can make of this is:
[itex](1,2,2,1,3)^t=u_1 + 2u_2 + 2u_3[/itex]

(then maybe I can say that P has the eigenvectors as columns and
[itex]AP(1,2,2,0,0)^t=(0,4,6,2,6)^t[/itex]

but then what?)

and because
[itex]\rho (2I-A)>\rho (3I-A)[/itex]
[itex]\rho (2I-A)\leq 5[/itex]
it means that
[itex]5>\rho (3I-A)[/itex]
and so
[itex]det(3I-A)=0[/itex]
and 3 is an eigenvalue of A.

I would like some hints/suggestions on what to do.

Thanks!
 
Physics news on Phys.org
A 5 by 5 matrix is diagonalizable if and only if it has 5 independent eigenvectors. You are given three independent eigenvectors. Can you find two more?
 
I know how to get the eigenvectors from an existing matrix
but not from an eigenvalue or anything they gave me... :/
 
I think I found one eigenvector,

if 3 is an eigenvalue of A, then A is similar to a matrix which it's first column is
(3,0,0,0,0)t

so an eigenvector of this matrix is (1,0,0,0,0) and thus it's an eigenvector of A as well

I only need to find one more :D (assuming I'm right).
 

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