Multivariable-Calculus · Unit 9 · Video 1 · Interactive Practice
| Formula | Name | What it says |
|---|---|---|
| Completing the square () | The term is absorbed into one square | |
| Two-squares form | The sign of decides sum or difference of squares | |
| Second derivatives of | The coefficients are second derivatives at the origin |
Key Insight: At the critical point of : gives a saddle; is degenerate; gives a minimum if and a maximum if .
The sign of decides whether the level curves are ellipses, hyperbolas or parallel lines.
With and , the sign of at a point depends on which square term is larger.
At a minimum every line through the origin cuts out an upward parabola; at a saddle some open downward.
💡 A degenerate saddle such as needs higher-order terms: with quadratic terms alone, a degenerate point is a degenerate minimum or maximum, depending on the sign of .
Problem 1 · Classify the Origin
Given: — what type of critical point is the origin?
Here , , , so
Completing the square:
Both terms are and , so the origin is a local minimum (in fact the global minimum).
Problem 2 · Positive Coefficients Are Not Enough
Given: — what type of critical point is the origin?
With , , :
Completing the square:
a difference of two squares. On the -axis () ; on the line . The origin is a saddle point, even though and .
Problem 3 · Complete the Square, Then Decide
Given: — write in completed-square form and classify the origin.
Completed-square form
Type of the origin
Here , , . Factor out of the -terms:
Since , we have , so
The same numbers from the formula: and .
One square with coefficient , one with : a difference of squares, so the origin is a saddle point. Check: .
Problem 4 · A Coefficient to Tune
Given: — for which values of is the origin a local minimum?
Here , , . The origin is a minimum when and :
Every is also positive, so the condition is .
At : , degenerate. For : , a saddle.
In terms of second derivatives, , , , and .
Solved: 0 / 4