The integrating factor for this linear ordinary differential equation is . Multiplication gives an exact derivative:
Consequently . The initial condition gives , so the initial value problem has solution
The integrating factor calculation determines every solution, and the initial condition fixes its remaining constant of integration uniquely.
For the given matrix , the characteristic polynomial is
For , the eigenvector equation gives ; for , it gives . Thus the eigenvalues and their corresponding eigenspaces are
For any eigenvector with eigenvalue , the vector-valued function satisfies , since its derivative is . The two displayed eigenvectors are linearly independent, so the general solution of the linear system of ordinary differential equations is
The function solves the linear ordinary differential equation. Apply reduction of order by writing . Substituting and and cancelling the terms in gives
For , this becomes a first-order linear ordinary differential equation:
A partial fraction decomposition provides the required antiderivative:
Therefore
The logarithm has positive argument on the required interval. The Wronskian of and is , proving their linear independence and hence completeness of this general solution.

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