Eigenvalues,charateristic polynomial

  • Thread starter stefan1988
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In summary: So you have two solutions. In summary, to solve for λ, you can use the equation λ2 - 5λ + 4 - 3k = 0, which is a quadratic equation. The two solutions for λ are λ = 4 and λ = 1.
  • #1
stefan1988
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Homework Statement


http://img213.imageshack.us/img213/7867/problemeigen.png

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Homework Equations


http://img339.imageshack.us/img339/771/equationh.jpg

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The Attempt at a Solution



so i tried doing the problem i going to use L for lambda
i got the matrix
[1-L, 3]
[K , 4-L]

then i do determinant to get the characteristic polynomial
(1-L)(4-L)-3K=0
L^2-5L+4=3k
K=(L^2-5L+4)/(3)

the other way i did it but I am not sure is [(L^2-5L+4)/(K)] -3

i also tried doing this in MATLAB by doing
k=-100:100
a=[1 3; k 4;]
but that i think would just put a bunch of numbers where k is i think
not really sure how to proceed from here
 
Last edited by a moderator:
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  • #2
i think what you are being asked to do is plot the function:

k(L) = (1/3)(L2-5L+4)

limiting the range (the "y" axis, or in this case, the "k" axis) to [-100,100]

(so you can fit all L values that give output values within your range on the plot).
 
  • #3
stefan1988 said:

Homework Statement


http://img213.imageshack.us/img213/7867/problemeigen.png

Uploaded with ImageShack.us

Homework Equations


http://img339.imageshack.us/img339/771/equationh.jpg

Uploaded with ImageShack.us


The Attempt at a Solution



so i tried doing the problem i going to use L for lambda
i got the matrix
[1-L, 3]
[K , 4]
Missing part of the lower right element.
stefan1988 said:
then i do determinant to get the characteristic polynomial
(1-L)(4-L)-3K=0
L^2-5L+4=3k
K=(L^2-5L+4)/(3)
No, the idea is to solve for lambda (L here). k is just a constant.

Solve this equation: λ2 - 5λ + 4 - 3k = 0. This is a quadratic in λ.
stefan1988 said:
the other way i did it but I am not sure is [(L^2-5L+4)/(K)] -3

i also tried doing this in MATLAB by doing
k=-100:100
a=[1 3; k 4;]
but that i think would just put a bunch of numbers where k is i think
not really sure how to proceed from here
 
Last edited by a moderator:
  • #4
Deveno said:
i think what you are being asked to do is plot the function:

k(L) = (1/3)(L2-5L+4)

limiting the range (the "y" axis, or in this case, the "k" axis) to [-100,100]

(so you can fit all L values that give output values within your range on the plot).

that's what i get for not reading closely enough *facepalm*.

right it should be L in terms of f(k).
 
  • #5
Solve this equation: λ2 - 5λ + 4 - 3k = 0. This is a quadratic in λ.

(λ-4)(λ-1)-3k
λ=4
λ=1

i solved it but I am not sure what I am supposed to do with it though
 
  • #6
stefan1988 said:
(λ-4)(λ-1)-3k
λ=4
λ=1
You're ignoring the -3k. And the above should be an equation; namely λ2 - 5λ + 4 - 3k = 0.

Do you know how to solve quadratic equations?
stefan1988 said:
i solved it but I am not sure what I am supposed to do with it though
 
  • #7
Deveno said:
that's what i get for not reading closely enough *facepalm*.
Happens to us all (well, it happens to me). Don't feel bad.
 

Related to Eigenvalues,charateristic polynomial

1. What are eigenvalues and why are they important?

Eigenvalues are a concept in linear algebra that represent the scaling factor of an eigenvector. They are important because they allow us to understand the behavior and transformations of a matrix, which has numerous applications in fields such as physics, engineering, and computer science.

2. How do you find the eigenvalues of a matrix?

To find the eigenvalues of a matrix, you first need to calculate the characteristic polynomial of the matrix. This is done by subtracting the scalar value from the diagonal entries of the matrix and then finding the determinant. The resulting polynomial will have the eigenvalues as its roots.

3. What is the characteristic polynomial used for?

The characteristic polynomial is used to find the eigenvalues of a matrix. It is also helpful in determining the diagonalizability and invertibility of a matrix.

4. Can a matrix have complex eigenvalues?

Yes, a matrix can have complex eigenvalues. This typically occurs when the matrix has complex entries. In fact, for a real matrix, the complex eigenvalues will always appear in conjugate pairs.

5. How do eigenvalues relate to eigenvectors?

Eigenvalues and eigenvectors are closely related. The eigenvalues represent the scaling factor of the corresponding eigenvector. This means that when a matrix is multiplied by an eigenvector, the resulting vector will be a scalar multiple of the original vector, with the scalar being the eigenvalue.

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