Solving the N-Term Matrix Question: My Approach and Results | IMG100 Imageshack

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Homework Help Overview

The discussion revolves around solving a matrix problem related to eigenvalues and eigenvectors, specifically focusing on the determinant of the matrix and the characteristic polynomial. Participants are exploring the implications of setting up the equation |A − λI| = 0 to find eigenvalues.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the setup of the determinant equation and its implications for finding eigenvalues. Some express confusion about the steps taken and the results obtained, questioning the differences in their approaches. Others suggest examining specific cases for λ to derive eigenvectors.

Discussion Status

The discussion is active, with participants providing guidance on how to proceed with the problem. There are multiple interpretations of the steps involved, and while some participants have offered insights into the implications of their findings, there is no explicit consensus on the next steps or final answers.

Contextual Notes

Some participants mention encountering difficulties with the problem and express uncertainty about how to articulate their findings or conclusions. There is an emphasis on deriving vectors from the equations associated with different eigenvalues.

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Why not set it up as |A − λI| = 0 (where I is the identity matrix), then solve for λ?
 
it makes no difference

my gowl was to find the determinat
and that what i have done
now what next??
i encountered some really tough problems

??
 
Just start with the formula I stated, then proceed from there.
 
i know your formula
youll noticed that i used it
but in a different step
i don't think there is any difference
i have trouble to finish it
 
EnumaElish said:
Why not set it up as |A − λI| = 0 (where I is the identity matrix), then solve for λ?
That's exactly what he did. Although he miswrote it as det A= ... when he has det A-\lambdaI after the "=".


transgalactic, for \lambda= 1 you have x_2+ x_3+ \cdot\cdot\cdot+ x_n= 0, -x_2= x_2, ..., -x_n= x_n. What does that give you? (It should give you one simple vector.)

For \lamba= 0, you have x_1+ x_2+ \cdot\cdot\dot+ x_n= 0. What does that give you? (n- 1 vectors)
 
for L=1
you got the expression of x2 in "n" terms
i can't do it indefinetly

for L=0
i know that i have n-1 vectors

what do i do now
what do i right as the answer of the question
??
 
For \lambda= 1 you have, as I said before, -x_2= x_2,-x_3= x_3, etc. That tells you that x_2= x_3= \cdot\cdot\cdot= 0! Then, of course, the first equation, x_2+ x_1+ \cdot\cdot\cdot+ x_n= 0 is automatically satisfied. Every number except x_1 must be 0. Since x_1 does not appear in any equation, it is arbitrary. All eigenvectors corresponding to \lambda= 1 are of the form <a, 0, 0, ..., 0> which is spanned, of course, by <1, 0, 0, ..., 0>.

If \lambda= 0 then you have the single equation x_1+ x_2+ \cdot\cdot\cdot+ \x_n= 0 which is the same as x_n= -(x_1+ x_2+ x_3+ \cdot\cdot\cdot+ x_{n-1}).
Now do as I have suggested before: take each x_i equal to 0 in turn, the others 0, and solve for x_n. That will give you the n-1 vectors you need.
 

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