Exercise 3.3
1. Solve the following differential equations.
(a)
(b)
(c)
(d)
2. Rewrite the following differential equation into the system of linear differential equation. Then solve.
3. Solve the following differential equation using the elimination method.
(a)
(b)
(c)
(d)
Answer
1.
(a)
. Then we find the solution of
.
Then the eigenvalues are
.
We find the eigenvector corresponds to
using Gaussian elimination.
We let
. Then
Thus, we have a solution
.
We find the eigenvector corresponds to
.
Thus we let
. Then
Thus,
. From this, the fundamental matrix is given by
Next we find the particular solution by solving
.
Using Cramer's rule, we have
Thus,
it is particular solution. So, no constanat
Also,
よって
it is particular solution. So, no constant
Therefore, the general solution is given by
(b)
. Then we find the solution satisfying
.
Then the eigenvalues are
.
We find the eigenvector corresponds to
using Gaussian elimination.
We let
. Then
Thus we have
.
Thus the fundamental solution is given by
We next find the particular solution satisfying
.
Solve this using Cramer's rule. Then
Thus,
no constant term
Also,
Thus,
Therefore, the general solution is given by
(c)
. Then find the solution of
.
Then the eigenvalues are
.
We find the eigenvector corresponds to
using Gaussian elimination.
We let
. Then
Thus we have a solutoin
.
Find the eigenvector corresponds to
.
Thus the degree of freedom is 2. So, we let
. Then
Then, we have a solution
. Thus the fundamental matrix is given by
We find the particular solution of
.
Solve this using Cramer's rule. Then
Thus,
no constant term
Thus
no constant term
Thus
no constant term
Therefore, the general solution is given by
(d)
Then the eigenvalues are
.
We find the eigenvector corresponds to
using Gaussian elimination.
Then no leading one in the 4th row. So, we let
. Then
Thus, we have
.
We find the eigenvector corresponds to
.
Thus, we let
. Then
Then we have
.
We find the eigenvector corresponds to
.
Thus, we let
. Then,
Thus,
Then the fundamental matrix is given by
Next we find the particular solution satisfying
.
Solve this using Cramer's rule. Then
Thus,
Thus,
Thus,
Thus,
Therefore, the general solution is given by
2.
Let
. Then
. Thus,
Now let
. Then we can write
Then the eigenvalues are
.
We find the eigenvector corresponds to
using Gaussian elimination.
Then we let
.
Thus, we have
.
We find the eigenvector corresponds to
.
Then let
. Then
Thus we have
. Thus the fundamental matrix is given by
Next we find the particular solution satisfying
.
Using Cramer's rule, we have
Then
Also,
Thus,
Therefore, the general solution is given by
3.
(a)
|
(3.3) |
Then we have
Now expand this, we have
or
Thus,
. Similarly, we can find . To find , eliminate frpm the equation 3.3. Then substitute . In fact, subtract the 2nd equation from the 1st equation in 3.3. Then
. Thus,
Therefore, the general solution is given by
(b)
|
(3.4) |
Then
Expand this, we have
or
The caracteristic equation is
. Then
.
Thus , the complementary function is
Next find the particular solution using the method of undetermined coefficient.
. Then
Thus, we can set
implies that . Thus,
. Therefore,
Thus,
Next we find . Eliminate
from the equation 3.4. Then
Now subtract the first equation in 3.4
Therefore,
Then the general solution is given by
(c)
|
(3.5) |
Then we have
Now expand this,
Then
The characteristic equation is
. Then .
Thus the complementary function is
Next we find the particular solution using the method of undermined coefficient.
implies
Thus, we can set
Then
. Thus
.
Therfore,
We next find . eliminate
from the equation 3.5. Then we have
Thus,
Therefore, the general solution is given by
(d)
|
(3.6) |
Then we have
Expand this,
Thus,
Then the characteristic equation is
and
.
Thus, the complementary function is given by
We next find the particular solution using the mathod of undetermined coefficient.
implies
. Note that
are already used in the complementary function. So we let
Then
. Thus we have
.
Then
Therefore,
We find . Eliminate
from the equation 3.6. Then we have
Then
Therefore, the general solution is given by