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Quiz over Ch. 7.5 Wednesday
Section 7.5
Exercise 5
Find the general solution of the given system of equations:
Eigenvalues:
Eigenvectors:

(note we have two eigenvectors)
Corresponding Solutions:



Check Linear Independence (redundant vs. complete solutions):
Therefore, our solutions
,
, and
are linearly independent; so the general solution is
Section 7.6
Given the systems:
Previously, we would find the eigenvalues and eigenvectors and the general solution is of the form:
where
represents each eigenvalue and
represents the corresponding eigenvector.
What about matrices with imaginary eigenvalues?

- We don't need to consider the second eigenvalue since they are complex conjugates
Recall from Chapter 3 that a root
has real-valued solution
. Let's do the same here:
for
, we get:
Expanding this gives
The real part of this solution
and the imaginary part of this solution
are each solutions to the original system, and they are always linearly independent
Theorem
Given a system of differential equations
If
and
is a pair of complex conjugate eigenvalues and
is the corresponding pair of eigenvectors, then the vectors
are real valued solutions of the system
Example
Eigenvalue:
Eigenvector:
Apply the theorem: