Exercise 3.2
1. Solve the following differential equations.
(a)
(b)
(c)
(d)
(e)
(f)
Answer
1.
(a)
.
Then the eigenvalues are
. Now we find the eigenvector corresponds to
.
Note that the matrix
is row reduced echelon form and no leading one in the 2nd row. So, we let
. Then
. Thus the eigenvector is
. Now we find the real part and the imaginary part of
.
Therefore, we can express the general solution as follows:
(b)
Then the eigenvalues are
. Now we find the eigenvector corrsponds to
.
Then
Now there is no leading one in the 2nd row. So, we let
とおくと,
. Thus the eigenvector is
. We next find the eigenvector corresponds to
and linearly independent from . Note that if we can find which satisfies
Then
Here no leading one in either the 2st row or the 2nd row. So, we let
. Then this matrix satifies
. Furthermore, we choose
so that
. Then
. and the 2nd solution is
Note that
are linearly independent. The general solution can be expressed as follows:
(c)
. Then
Then the eigenvalues are
.
The eigenvextor corresponds to
is nonzero solution of the equation
. Using Gaussian elimination,
Then no leading one in the 3rd row. So, we let
.
Thus,
.
Next we find the eigenvector corresponds to
.
Then the degree of freedom is 2. So, we let
.
Thus, we have
Note that
are linearly independent. Thus , the general solution is given by
(d)
Then we have eigenvalues
.
Now we find the eigenvector corresponds to
using Guassian elimination.
Note no leading one in the 2nd row. So, we let
. Then
Thus,
.
We next find the eigenvector corresponds to
.
Note that no leadin one in the 3rd row. Then we let
.,
Note that the solutions are given by
. Thus, we need to find the real part and the imaginary part of
.
Thus, the general solution is given by
(e)
Solve for
. Then
and
|
(3.1) |
Solve for
. Then
and
|
(3.2) |
Thus,
The eigenvalues are
.
We find the eigenvector corresponds to
using Gaussian elimination.
Then let
.
Thus, we find
.
Therefore, the general solution is given by
(f)
Solve for
. Then
and
Also
. Thus,
From this, we have
. Now we find the eigenvalues and eigenvectors.
Then the eigenvalues are
.
We find the eigenvector corresponds to
using Gaussian elimination.
Then we let
.
Thus we find
.
Therefore, the general solution is given by