Gradient and Directional Derivatives

Reading

Sections 15.5

Problems

Topics to know

  1. Definition of gradient vector
  2. Draw gradient vectors for a function like \(f(x, y) = x^2 + y^2\)
  3. Algebraic properties of gradient (theorem 1)
  4. Chain rule for gradients: \(F(f(x, y, z))\)
  5. Chain rule for paths: \(f(\vec c(t))\), \(\vec c(t) = \langle x(t), y(t), z(t)\rangle\)
  6. Proof of the chain rule for paths (page 821)
  7. Gradient is perpendicular to level curves
  8. Definition of directional derivative along the direction of a unit vector
  9. Directional derivative formula via gradient
  10. Directional derivative related to the angle between vector and gradient (theorem 4)
  11. Consequences of theorem 4