Find all real values of k for which A is diagonalizable

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Homework Help Overview

The discussion revolves around determining the real values of k for which the matrix A, defined as A = [1 1; 0 k], is diagonalizable. Participants explore the eigenvalues and the conditions under which a matrix can be diagonalized.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss calculating the determinant to find eigenvalues and consider both quadratic and factorization methods. There is uncertainty about the implications of the eigenvalues for diagonalizability and whether certain values of k affect this property.

Discussion Status

Several participants have provided insights on the criteria for diagonalizability, including the need for the characteristic polynomial to split and the importance of checking for irreducible polynomials. There is ongoing exploration of different methods to approach the problem, with no clear consensus on the final answer yet.

Contextual Notes

Participants note the need to consider cases where k is zero separately, as this may affect the diagonalization process. There is also mention of the characteristic polynomial and its role in determining diagonalizability.

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Homework Statement



find all real values of k for which A is diagonalizable.

A = [ 1 1 ]
[ 0 k ]

The Attempt at a Solution



let L = lamba = eigenvalue

I did this:
det(A - LI) = L2 - Lk - L + k

so then it sort of looks like a quadratic so I did this:
L2 - Lk - L + k = 0
L2 - L(k+1) + k = 0
and used the quadratic equation
x = (-b +- sqrt(b2-4ac)) / 2a
so then I got stuck at this point:

((k+1) +- (k-1)) / 2

and this is where I got really really stuck. I'm not sure how or what to conclude about matrix A being diagonalizable for all real values of k.


or can I skip the quadratic equation method and just do this instead?

(1-L)(k-L) = 0
then
L = 1 and L = k
so then matrix A is diagonalizable for any real number k except 0?
 
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What is the criteria for a matrix to be diagonalizable? If I remember correctly, one is that it's characteristic polynomial must split. If you are working in the reals then check for which real numbers k give an irreducible polynomial and exclude them from the final answer. Then check if the other criteria are satisfied for the remaining reals.
 
war485 said:

Homework Statement



find all real values of k for which A is diagonalizable.

A = [ 1 1 ]
[ 0 k ]

The Attempt at a Solution



let L = lamba = eigenvalue

I did this:
det(A - LI) = L2 - Lk - L + kultiply it out? det(A- LI)= (1-L)(k- L)= 0 so the eigenvalues are L= 1 and L= k.

so then it sort of looks like a quadratic so I did this:
L2 - Lk - L + k = 0
L2 - L(k+1) + k = 0
an+d used the quadratic equation
x = (-b +- sqrt(b2-4ac)) / 2a
so then I got stuck at this point:

((k+1) +- (k-1)) / 2
k+1+ (k-1)= 2k. k+1- (k-1)= 2.

and this is where I got really really stuck. I'm not sure how or what to conclude about matrix A being diagonalizable for all real values of k.


or can I skip the quadratic equation method and just do this instead?

(1-L)(k-L) = 0
then
L = 1 and L = k
so then matrix A is diagonalizable for any real number k except 0?
Yes, you are allowed to do it the obvious way!

No, under what conditions is a matrix diagonalizable?
 
war485 said:
A = [ 1 1 ]
[ 0 k ]

The Attempt at a Solution



let L = lamba = eigenvalue

I did this:
det(A - LI) = L2 - Lk - L + k
Why did you do that? To get to that expression you had to expand (1-L)*(k-L)=0. There is no need to use the quadratic form when you already have a factorization. You can instead directly read the solutions L from (1-L)*(k-L)=0.

How do the eigenvalues indicate whether a matrix is diagonalizable?
 
I'm not sure how or what to conclude about matrix A being diagonalizable for all real values of k.
The most straightforward way is to actually perform the diagonalization procedure A. Make sure you divide into cases where appropriate: for example, if you would divide by k, then you need to split the problem into two cases: one where k is nonzero, and then handle the case where k is zero separately.

In one (or more) cases, the diagonalization procedure will fail. Then you'll have your answer.


This is standard fare -- the simplest response to "when can't you do X" is to actually do X, and see what obstacles impede your progress.
 

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