Calculus 3 covers advanced topics in multivariable calculus, including partial derivatives, multiple integrals, and vector calculus.
Partial derivatives measure how a function changes as just one of its inputs changes, keeping the others fixed. They are a natural extension of the derivative from single-variable calculus.
For a function \( f(x, y) \), the partial derivative with respect to \( x \) is written as \( \frac{\partial f}{\partial x} \). This tells us how \( f \) changes as \( x \) changes, with \( y \) held constant.
Partial derivatives are incredibly useful. They let engineers, scientists, and economists analyze how changing one factor affects the outcome, holding everything else steady.
For \( f(x, y) = 3x^2y + 2y \), \( \frac{\partial f}{\partial x} = 6xy \).
For \( f(x, y, z) = x + yz \), \( \frac{\partial f}{\partial y} = z \).
Partial derivatives let us see how a function changes when we wiggle just one input.