Compute the partial derivatives of a function of several variables.
Compute higher-order partial derivatives.
Describe the conditions for equality of higher-order mixed partial derivatives.
Interpret partial derivatives as slopes.
Partial derivatives
Perhaps the simplest way to generalize the Calculus I derivative to functions of several variables is to apply the change independently to each variable. This gives us the partial derivatives:
and
provided the limits exist.
It should be clear that each partial derivative treats the other variable as non-changing or constant. There are a few important ideas we can take away from the definitions:
The partial derivatives represent slopes. For example, is the slope of the surface at the point in the direction of the positive -axis.
Partial derivatives can be evaluated by using our Calculus I derivative rules. We simply treat the other variable as a constant.
Higher-order derivatives are also defined by treating variables as constant.
Examples
Let . Determine and .
Let . Determine and .
Find the slope of the graph of at the point in the direction of the positive -axis.
Let . Determine , , and .
Let . Determine and .
Equality of mixed partials
From the last example, you may expect that mixed partial derivatives must be equal. They don't have to be! But they usually are.
Theorem: Suppose that is defined on an open region . If and are continuous on , then on .
Examples
Let . Compute all four 2nd-order partial derivatives.