Relative Extrema
Hills, Valleys, and Saddle Points.
Introduction
Just like in Calculus I, we find peaks and valleys by looking for places where the slope is zero.
In 3D, a "peak" (Relative Max) means the surface curves down in all directions. A "valley" (Relative Min) means it curves up. But there's a third option: a Saddle Point.
Critical Points
Definition
A point is a Critical Point if:
This means BOTH and .
Interactive: Types of Critical Points
Second Derivative Test
To classify a critical point, we calculate the Discriminant :
Relative Max
Relative Min
Saddle Point
- Concavity conflicts
If , the test is inconclusive.
Worked Examples
Example 1: Finding Critical Points
Find and classify critical points of .
1. Find Partials:
2. Set to 0:
Critical Point:
3. Classify:
.
. Since : Relative Minimum.
Example 2: Saddle Point
Classify extrema for .
1. Critical Points:
.
.
Point: .
2. Second Derivative Test:
.
.
.
.
Result: Saddle Point at .
Example 3: Multiple Critical Points
Let . Find all local Extrema.
1. Critical Points:
.
.
4 Points: .
2. D = f_xx f_yy - f_xy^2:
.
- Min.
- Max.
- Saddle.
- Saddle.
Practice Quiz
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