How to compute partial derivatives of a function of two or more variables:
Identify which variable you are differentiating with respect to
(usually $x$, $y$, or $z$).
Treat all other variables as constants.
Only the chosen variable is allowed to change.
Differentiate the function using ordinary differentiation rules
(power rule, product rule, chain rule, etc.).
Write the result using partial derivative notation such as
$\frac{\partial f}{\partial x}$ or $f_x$.
If needed, repeat the process to find higher-order partial derivatives
like $f_{xx}$, $f_{yy}$, or mixed partials such as $f_{xy}$ and $f_{yx}$.
Notation for partial derivatives:
$$f_x = \frac{\partial f}{\partial x}$$
$$f_y = \frac{\partial f}{\partial y}$$
$$f_{xx} = \frac{\partial^2 f}{\partial x^2}$$
$$f_{xy} = \frac{\partial^2 f}{\partial x \partial y}$$
Partial derivatives appear in problems involving surfaces, optimization of functions of two variables,
and models where a quantity depends on more than one input.
Basic Partial Derivatives — CE Board
Find $f_x$ and $f_y$ if $f(x,\,y) = x^3 + 2x^2y - 3y^2$.
For $f_x$: Treat $y$ as a constant, differentiate with respect to $x$.
$f_x = 3x^2 + 4xy$
For $f_y$: Treat $x$ as a constant, differentiate with respect to $y$.
$f_y = 2x^2 - 6y$
Mixed Partial Derivative — CE Board
Find $f_{xy}$ if $f(x,\,y) = x^3y^2 + 2xy$.
Step 1: Find $f_x$ (differentiate with respect to $x$, $y$ constant):