Multivariable Calculus
Math · Advanced · Lesson 5 of 7

Lagrange Multipliers

The best point on a path

An interactive lesson with 7 steps, about 6 minutes: you predict, drag and solve, with instant feedback on every answer. It runs in your browser and needs JavaScript.

What you’ll learn

  • At a constrained maximum, the constraint curve is tangent to a contour of f.
  • Lagrange's condition: ∇f=λ∇g\nabla f = \lambda \nabla g together with g=cg = c.
  • The multiplier λ measures how sensitive the best value is to the constraint.

Steps

  1. Fencing a field
  2. The highest point on a path
  3. Touch the contour
  4. Lagrange’s condition
  5. Watching the gradients line up
  6. On a circle
  7. Along the river