Linear Algebra Multiple Choice

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Homework Help Overview

The discussion revolves around a linear algebra problem related to eigenvalues and the conditions for diagonalizability of a matrix. Participants are examining specific conditions and their implications on the eigenvalues derived from a given matrix.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss finding eigenvalues as a starting point and explore the implications of different conditions on these eigenvalues. There is an examination of specific cases where the discriminant \(a^2 - 4b\) is zero or negative, and how these affect the diagonalizability of the matrix.

Discussion Status

The discussion is active, with participants sharing their reasoning and questioning assumptions about the conditions for diagonalizability. Some guidance has been offered regarding the need for distinct eigenvalues and linearly independent eigenvectors, but no consensus has been reached on the correctness of specific conditions.

Contextual Notes

Participants are working within the constraints of a homework assignment, which may limit the information available for discussion. There is an emphasis on understanding the implications of the eigenvalue conditions rather than arriving at a definitive solution.

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Homework Statement



[PLAIN]http://img697.imageshack.us/img697/9307/linvd.jpg

The Attempt at a Solution



Last condition = 1) ?

How about the others?
 
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so how about starting by finding the eigenvalues?
 
lanedance said:
so how about starting by finding the eigenvalues?

Eigenvalues are

x= \frac{1}{2}\left( - \sqrt{a^2 -4b} -a\right)

x= \frac{1}{2}\left( \sqrt{a^2 -4b} -a\right)
 
lanedance said:
ok, so you have the general formula, but finding the eigenvalues for each case, should give you good hint...

if you're not sure why try reading
http://en.wikipedia.org/wiki/Diagonalizable_matrix

I went for

1st condition - 2
2nd condition - 1
3rd condition - 3
4th condition - 1

but one of these is wrong. Can you see which one?
 
why not tell me your reasoning?
 
for the last one, a^2 - 4b < 0 is a subset, but more importantly consider when a^2 - 4b = 0
 
lanedance said:
for the last one, a^2 - 4b < 0 is a subset, but more importantly consider when a^2 - 4b = 0

So is the last one 4?


If a^ - 4b = 0 then both eigenvalues are the same (not distinct) but this isn't enough to conclude that A is not diagonalisable.
 
yep, but i would say if a^ - 4b = 0 then both eigenvalues are the same (not distinct), so this isn't enough to conclude that A is diagonalisable (as for this we need 2 linearly independent eigenvectors)
 

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