Eigenvector Help: Solving Problems 3 & 4

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Homework Help Overview

The discussion revolves around understanding eigenvectors in the context of specific problems from a linear algebra resource. The original poster seeks clarification on the derivation of certain equations related to eigenvectors for given eigenvalues.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster asks about the origins of specific equations related to eigenvectors, particularly questioning how certain expressions like e1 + e2 = 0 and e1 + 2e2 + e3 = 0 are derived. Some participants suggest writing out the vector explicitly and substituting it into the eigenvalue equation as a means to explore the problem further.

Discussion Status

The discussion is ongoing, with participants providing insights into the relationships between eigenvalues and eigenvectors. There is an acknowledgment of the need for further explanation, and some guidance has been offered regarding the substitution method to analyze the equations.

Contextual Notes

The original poster indicates a clear understanding of how to find eigenvalues but expresses confusion regarding the corresponding eigenvectors, highlighting a potential gap in their comprehension of the topic.

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http://orion.math.iastate.edu/vika/cal3_files/lec33267.pdf

i searched eigenvectors on google and this showed up. here are some problems i need further explaining for example 3 and 4.

3. where do they get e1+e2= 0 equation from? then where did they get e= (1,-1)

4. where do they get the e1+2e2+e3= 0 eq from?

any help would really be appreciated...i understand how to get the eigenvalues but i have no clue what to do to get the vectors
 
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3.
Write out the vector [tex]\vec{e}[/tex] explicitly, i.e. [tex](e_1,e_2)[/tex], then substitude into [tex](A-3E) \vec{e} = 0[/tex], you will see the result immediately.

4.
Same as above...
 
The first matrix is
[tex]\left(\begin{array}{cc}-2 & 1 \\ -1 & 4\end{array}\right)[/tex]
which, by solving the "characteristic equation" is determined to have the single eigenvalue -3.

The definition of "eigenvalue" is that there exist a non-trivial (i.e. non-zero) vector v such that [itex]Ax= \lambda x[/itex]. Saying that -3 is an eigenvalue means that there is a non-zero vector
[tex]v= \left(\begin{array}{c}x \\ y\end{array}\right)[/tex]
such that
[tex]\left(\begin{array}{cc}-2 & 1 \\ -1 & 4\end{array}\right)\left(\begin{array}{c}x \\ y\end{array}\right)= \left(\begin{array}{c}-2x+ y \\ -x+ 4y\end{array}\right)= \left(\begin{array}{c}-3x \\ -3y\end{array}\right)[/tex].

The top row says -2x+ y= -3x and the second -x+ 4y= -3y. Normally, two equations in two variables would have a unique solution (and obviously x=0, y= 0 is a solution) but here the equations are not "independent" (precisely because -3 is an eigenvalue). It's easy to see that both equations reduce to y= -x. That is the same as x+y= 0 (your book uses e1+e2= 0 but it is the same thing). Any vector of the form (a, -a)= a(1,-1) is an eigenvector corresponding to eigenvalue -3.
 
thanks for the help, hopefully it will make sense with time
 

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