Let
be the square matrix of order
. Suppose that
are linearly independent solutions of
. Then
is given by
.
Now using the variation of parameter, we let
be the solution of
. Then since the derivative of the vector valued function is given by the derivatives of components of the vector valued function, we have
into
. Then
, we have

SOLUTION
. Thus the eigenvalues are
. The eigenvector corresponds to
is obtained by
. Then the eigenvector is
. Thus
is a solution. The eigenvector corresponds to
is obtained by
. Thus the eigenvector is
. Therefore,
is a solution. Then the fundamental matrix is
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Let
. Then
and the given differential equation
by using Cramer's rule.
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(3.1) |
SOLUTION Using Cramer's rule, we have
. Thus
and the complementary solution
is
, we use the method of undetermined coefficients
.
. Then
SOLUTION
Let
and
. Then
and
. Thus we can express
Then the eigeneqution is
and the eigenvalues are
. To find the eigenvector, we use Mathematica. Then the eigenvectors correspond to
are
is
is
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