Partial derivatives are key when dealing with functions of multiple variables. They help us understand how a function changes with respect to one variable, keeping others constant. In simple terms, it's similar to regular derivatives but in a multi-dimensional setting.
For the function \(z = \cos(2x) \cdot \sin(y)\), we need to find the partial derivatives with respect to both \(x\) and \(y\). This involves differentiating the trigonometric functions separately while treating one variable as a constant:
- The partial derivative with respect to \(x\) yields \(\frac{\partial z}{\partial x} = -2\sin(2x) \cdot \sin(y)\).
- The partial derivative with respect to \(y\) results in \(\frac{\partial z}{\partial y} = \cos(2x) \cdot \cos(y)\).
By analyzing these partial derivatives, you can determine how changes in \(x\) or \(y\) affect the surface.