Section 13.7

Directional Derivatives

We did "North" and "East". What about "North-East"?

1

Introduction

The directional derivative tells us the rate of change of in the direction of a unit vector .

Formula:

Note: MUST be a unit vector!

2

The Gradient Vector

We define the gradient vector ("del f") as:

Using the dot product, the directional derivative becomes:

Max Rate

Occurs when (direction of ).
Value: .

Min Rate

Occurs when (opposite to ).
Value: .

Zero Rate

Occurs when (orthogonal to gradient).
Change is zero (Contour Line).

3

Visualizing Steepest Ascent

Interactive: Gradient on Surface

4

Worked Examples

Example 1: Finding Directional Derivative

Find for at in direction of .

1. Find Gradient:

.

.

.

2. Find Unit Vector:

.

.

3. Dot Product:

.

Example 2: Max/Min Rate of Change

Find the maximum rate of change of at and its direction.

1. Find Gradient:

.

.

.

2. Analyze:

  • Max Rate = .
  • Direction = .

Example 3: Tangent to Level Curve

Find a vector tangent to the level curve of at .

The gradient is normal (perpendicular) to the level curve.
So any vector perpendicular to is tangent.

1. .

2. Find such that .
.
Let .

Tangent Vector: (or any scalar multiple).

5

Practice Quiz

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