Find the necessary and sufficient conditions on the real numbers a,b,c

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Homework Help Overview

The discussion revolves around determining the necessary and sufficient conditions on the real numbers a, b, and c for the diagonalizability of a specific upper triangular matrix. The matrix in question is structured with eigenvalues that include a repeated eigenvalue, prompting the need for two linearly independent eigenvectors.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the process of row reducing the matrix to find conditions on the variables a, b, and c. There are attempts to identify the implications of having a row of zeros in the reduced form and the resulting free variables.

Discussion Status

Participants are actively engaging with the problem, exploring the implications of their row reduction results. Some have noted that a must be zero, while questioning the conditions on b and c. There is an ongoing exploration of whether b and c can take on any real values.

Contextual Notes

There is a focus on the need for two linearly independent eigenvectors corresponding to the eigenvalue of multiplicity two. The discussion also reflects on the implications of the row echelon form of the matrix and how it relates to the variables involved.

trap101
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Find the necessary and sufficient conditions on the real numbers a,b,c for the matrix:
\begin{bmatrix} 1 & a & b\\ 0 & 1 & c \\ 0 & 0 & 2 \end{bmatrix} to be diagonalizable.

Attempt: Now for this one I also solved for the eigenvlues which were: λ1 = 1, λ2 = 1, λ3 = 2

So the problematic eigenvalues will be the one of multiplicity 2, i.e λ = 1.

So this means I'd have to obtain two linearly independent eigenvectors for λ = 1.

I tried solving and got to this matrix: \begin{bmatrix} 0 & a & b \\ 0&0&c \\ 0&0 & 1 \end{bmatrix}

But I won't be able to find two linearly independent eigenvectors from setting any of the variables equal to anything...I don't think. What's the next step?[/QUOTE]
 
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Take your matrix down to reduce row echelon form.

From that point, you should be able to figure what one of the variables should be.
 


Do you mean just reduce the variables: a , b, c? i.e: divide out a by 1/a, etc and row reduce those?
 


trap101 said:
Do you mean just reduce the variables: a , b, c? i.e: divide out a by 1/a, etc and row reduce those?


Start with the 2nd and 3rd row first. Reduces those and then see what you can do to the top.
 


\begin{bmatrix} 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{bmatrix} a row of zeros which means one free variable, or would this mean that a, c = 0 and b could be any value?
 


trap101 said:
\begin{bmatrix} 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{bmatrix} a row of zeros which means one free variable, or would this mean that a, c = 0 and b could be any value?

Instead of dividing out the 1st row by a, leave it as a. You will still have a = 0.

Why is c = 0? the second row means x_3 = 0.
 


trap101 said:
\begin{bmatrix} 0 & a & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{bmatrix} a row of zeros which means one free variable, or would this mean that a, c = 0 and b could be any value?

So then a = 0, x2 is a free variable, and x3 = 0. Now this leaves me with still only one free variable...actually...x1 is a free variable as well isn't it?...ahhhhhh, if that's the case I see what your getting at. But I didn't really state any conditions, all I did was solve a reduced matrix.

Thanks
 


trap101 said:
So then a = 0, x2 is a free variable, and x3 = 0. Now this leaves me with still only one free variable...actually...x1 is a free variable as well isn't it?...ahhhhhh, if that's the case I see what your getting at. But I didn't really state any conditions, all I did was solve a reduced matrix.

Thanks

What you know now is a must be 0. The question is can b and c be anything?
 


Well if the same process would have to be applied to find any matrix that is diagonalizable, it must mean that b, c can be any real number because they will be eliminated through row reduction.
 

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