The Method of Independent Solutions provides a systematic way to determine a second linearly independent solution to a second-order linear differential equation when one solution is already known. In the context of differential equations, independence of solutions is essential because it ensures that the solutions form a basis for the space of all possible solutions.First, we utilize a given solution, say, \(y_1(x)\). We then transform the differential equation into an easy-to-manage form that allows us to find the second solution. This typically involves calculating specific terms like \(p(x)\) and forming integrals involving \(y_1(x)\).The real beauty of this method is that once we have the structure given by \(y_1(x)\), the second solution, \(y_2(x)\), can be expressed as:
- \(y_2(x) = y_1(x) \int \frac{1}{y_1^2(x)} \cdot e^{-\int p(x) \, dx} \, dx\)
This formula combines integration techniques with the known solution \(y_1(x)\) to construct a second, independent solution. The flexibility in expressing \(y_2(x)\) means that even if integrals don't simplify neatly, they can be expressed in terms of unknown but computable antiderivatives.