The Jacobian determinant plays a crucial role when transforming coordinates in multiple-variable integration. When we switch from variables \(x, y\) to \(u, v\), the Jacobian determinant helps adjust the volume element correctly.
To start, we have our transformation equations: \(u = xy\) and \(v = \frac{y}{x}\). We need to find the partial derivatives of \(u\) and \(v\) with respect to \(x\) and \(y\):
- \(\frac{\partial u}{\partial x} = y\)
- \(\frac{\partial u}{\partial y} = x\)
- \(\frac{\partial v}{\partial x} = -\frac{y}{x^2}\)
- \(\frac{\partial v}{\partial y} = \frac{1}{x}\)
The Jacobian determinant (\text{J}) is then calculated as:
\[ J = \begin{vmatrix} \frac{\partial u}{\partial x} & \frac{\partial u}{\partial y} \ \frac{\partial v}{\partial x} & \frac{\partial v}{\partial y} \end{vmatrix} = \begin{vmatrix} y & x \ -\frac{y}{x^2} & \frac{1}{x} \end{vmatrix} \].
Finally, perform the determinant calculation:
\[ J = \left(y \cdot \frac{1}{x} \right) - \left( x \cdot -\frac{y}{x^2}\right) = \frac{y}{x} + \frac{y}{x} = \frac{2y}{x} = \frac{2v}{u} \]. Given our transformation, we express it as \( \left(2 v\right)^{-1} \).