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To solve the system of differential equations
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(1)
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where is a matrix and and are vectors, first consider the homogeneous case with . The solutions
to
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(2)
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are given by
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(3)
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But, by the matrix decomposition theorem, the matrix exponential
can be written as
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(4)
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where the eigenvector matrix is
![u=[u_1 ... u_n]](/images/equations/OrdinaryDifferentialEquationSystemwithConstantCoefficients/NumberedEquation5.gif) |
(5)
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and the eigenvalue matrix is
![D=[e^(lambda_1t) 0 ... 0; 0 e^(lambda_2t) ... 0; | | ... 0; 0 0 ... e^(lambda_nt)].](/images/equations/OrdinaryDifferentialEquationSystemwithConstantCoefficients/NumberedEquation6.gif) |
(6)
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Now consider
The individual solutions are then
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(11)
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so the homogeneous solution is
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(12)
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where the s are arbitrary
constants.
The general procedure is therefore
1. Find the eigenvalues of the matrix ( , ..., ) by solving
the characteristic equation.
2. Determine the corresponding eigenvectors , ..., .
3. Compute
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(13)
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for , ..., . Then the vectors which are real are solutions to the homogeneous
equation. If is a matrix,
the complex vectors correspond to
real solutions to the homogeneous
equation given by and .
4. If the equation is nonhomogeneous, find the particular solution given by
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(14)
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where the matrix is defined by
![X(t)=[x_1 ... x_n].](/images/equations/OrdinaryDifferentialEquationSystemwithConstantCoefficients/NumberedEquation11.gif) |
(15)
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If the equation is homogeneous so that , then look
for a solution of the form
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(16)
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This leads to an equation
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(17)
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so is an eigenvector and an eigenvalue.
5. The general solution is
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(18)
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