Partial derivatives are used when dealing with functions of multiple variables, as opposed to single-variable functions. They help us examine how changing one variable affects the function while keeping others constant.
In the function \(f(x,y) = \sin 4x \cos 3y\), we can separately compute the partial derivative with respect to each variable:
- \( \frac{\partial f}{\partial x} \) focuses on how \(f\) changes as \(x\) changes, given by \(4\cos 4x \cos 3y\).
- \( \frac{\partial f}{\partial y} \) reveals how \(f\) alters with changes in \(y\), resulting in \(-3\sin 4x\sin 3y\).
Partial derivatives provide insight into the structure and behavior of multivariable functions. Understanding how to take these derivatives is key in fields ranging from machine learning to thermodynamics, as it enables the study of complex dynamic systems.