Multivariable-Calculus · Unit 9 · Video 3 · Interactive Practice
| Formula | Name | What it tells you |
|---|---|---|
| , | First partials | and force : the only critical point is |
| , , | Second partials | At : , , |
| , | Second derivative test | is a local minimum with |
| , , | Boundary and infinity | as or and as or : no maximum, and the global minimum is |
Key Insight: A global minimum or maximum can sit at a critical point, on the boundary, or out at infinity; the critical points alone cannot decide which.
The curve and the curve cross at exactly one point of the quadrant.
Along every path toward an axis or outward, one of the three positive terms of grows without bound.
For , the set is a closed, bounded patch around ; below it is empty.
💡 A continuous function on a closed, bounded patch reaches a smallest value; here that point lies inside the quadrant, so there, and it must be .
Problem 1 · Find the Critical Point
Given: for , — find its only critical point and the value of there.
Where is the critical point?
What is at the critical point?
The partial derivatives are
Setting both to zero gives and . Dividing the first by the second:
Then , so . The only critical point is , and
Problem 2 · Near the Axis, but Stays Small
Given: , followed along the curve (so ) as — find and the behaviour of along this curve.
What is ?
As along , what does do?
At the product is , so
Along the function is . As the term (which is ) goes to infinity, so . Approaching the -axis does not require the last term to blow up: the bound does the work instead, exactly as at the video's point , where .
Problem 3 · Classify with the Second Derivative Test
Given: for , — find its critical point and classify it.
Where is the critical point?
What does the test give there?
Critical point.
Dividing, , so . Then gives , so and .
Second derivative test.
so is a local minimum, with . Since , and , the same boundary-and-infinity argument as in the video makes it the global minimum.
Problem 4 · A Closed Square Changes the Answer
Given: , now only on the closed square , (edges included) — find the maximum of on the square.
The only critical point, , is the minimum . The maximum is on the boundary. Check the edges.
Edge : , which decreases to and then increases, so its largest values are at the ends: and .
Edge : , with ends and .
The edges and give the same values by the symmetry . Comparing the candidates:
Including the boundary is what makes the maximum exist; on the open quadrant the same function has none.
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