Once we ascertain the exactness of the differential equation, the next step is finding what’s known as the potential function, often denoted as \( \psi(x, y) \). The potential function is fundamentally the function whose differential yields the original equation's terms.
To find \( \psi(x, y) \), we perform integrations similar to solving a function's antiderivative. We start by integrating \( M(x, y) \) with respect to \( x \) and \( N(x, y) \) with respect to \( y \):
- Integrate \( M = 2x + 3 \) with respect to \( x \):
\[ \int (2x + 3) \ dx = x^2 + 3x + g(y). \] - Integrate \( N = 2y - 2 \) with respect to \( y \):
\[ \int (2y - 2) \ dy = y^2 - 2y + f(x). \]
Here, \( g(y) \) and \( f(x) \) are functions emerging from each respective integration, accounting for potential dependency on other variables.
Comparing these results, we identify the overlapping parts to express \( \psi(x, y) \) fully. Practically, it evolves into:
\[ \psi(x, y) = x^2 + 3x + y^2 - 2y + C. \] A constant \( C \) is added as we are looking for a family of functions, demonstrating the variety of potential solutions.