Calculus 3

Calculus 3 covers advanced topics in multivariable calculus, including partial derivatives, multiple integrals, and vector calculus.

Basic Concepts

Partial Derivatives

Changing One Variable at a Time

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.

Notation and Calculation

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.

Physical Meaning

Partial derivatives are incredibly useful. They let engineers, scientists, and economists analyze how changing one factor affects the outcome, holding everything else steady.

Quick Steps

  1. Pick the variable you want to change.
  2. Treat all other variables like constants.
  3. Differentiate as usual with respect to your chosen variable.

Common Uses

  • Calculating rates of change in physics (like how temperature changes with position).
  • Optimizing functions in economics and engineering.

Examples

  • For \( f(x, y) = 3x^2y + 2y \), \( \frac{\partial f}{\partial x} = 6xy \).

  • For \( f(x, y, z) = x + yz \), \( \frac{\partial f}{\partial y} = z \).

In a Nutshell

Partial derivatives let us see how a function changes when we wiggle just one input.