directional derivative
1. Definition
For scalar field , unit vector with giving direction at , the directional derivative is:
= rate of change of when moving from a small distance along direction .
2. Formula via Gradient
If differentiable at :
where = angle between and . Derivation uses chain rule on .
Consequences:
- Maximum when is parallel to () — direction of steepest increase.
- Minimum when opposite — steepest decrease.
- Zero when — moving along level surface , no change (tangent direction).
- If not unit, divide by : .
3. Working Steps (recipe)
- Compute at .
- Make direction vector (from to ) and unitise .
- Dot: .
For 2D , same with .
4. Worked Examples
(a) φ= x² + y² + z² at P(1,2,2) towards Q(2,3,3):
∇φ=(2x,2y,2z)=(2,4,4); vector a= Q-P=(1,1,1), |a|=√3 ⇒ u=(1,1,1)/√3
D_u φ = (2+4+4)/√3 =10/√3 ≈5.77 ; max possible |∇φ|=6 along r direction ✓
(b) φ= x² y z at (1,2,3) along direction i+2j+2k: u=(1,2,2)/3, ∇φ=(2x y z, x² z, x² y)=(12,3,2)
D= (12·1+3·2+2·2)/3=22/3 ✓
(c) Find direction where φ= x²+ y² decreases fastest at (1,1): ∇φ=(2,2) ⇒ opposite direction (-1,-1)/√2 gives D=-2√2 ✓
(d) Need directional derivative along tangent to curve r(t)? Use u = r'(t)/|r'|.
(e) Temperature T= x²+y²+z²: isotherms spheres; directional derivative along sphere (perpendicular to ∇T) zero ⇒ no temperature change walking on sphere ✓
5. Level Surface Connection
If lies in tangent plane to at , then because — moving on level surface keeps constant to first order.
6. Exam Points
- State — 3 marks, very frequent.
- Compute at towards — 5-7 marks, very frequent.
- Find maximum and its direction — 5 marks, very frequent.
- Show for tangent to — 3 marks.
- Second-order? Sometimes ask for rate of change of along curve : — 3 marks.