Calculus Volume 3 · free preview

Maxima and Minima Problems

Local extrema of functions of two variables occur at critical points where the gradient vanishes or fails, classified by the second derivative test's discriminant, with the absolute extrema on closed bounded regions sought on the interior and the boundary.

1. Critical points

Critical points

2. The second derivative test

The second derivative test

3. Absolute extrema on closed regions

Absolute extrema on closed regions

4. Applications

Applications

5. Critical point condition

For a differentiable function of two variables, local extrema occur only where which condition holds?

6. Saddle point

A saddle point of f(x, y) is a critical point which is what?

7. Discriminant formula

The second derivative test's discriminant D equals which expression?

8. Positive discriminant minimum condition

A critical point with D positive is a local minimum when which further condition holds?

9. D equals zero case

When the second derivative test's discriminant D equals zero at a critical point, what does the test conclude?

10. Critical point count paraboloid

The paraboloid f = x^2 + y^2 has one critical point. As a number, how many? Answer with a number.

11. Saddle discriminant sign

For the saddle x^2 - y^2, the discriminant D is negative. As a sign, what is it? Answer with the single character.

12. Hessian name

The matrix of second partials is named for which mathematician, surname only? Answer in lowercase.

13. Least squares connection

The regression line's least squares fit minimizes the sum of squared errors, and its slope and intercept are found by which condition?

14. Boundary candidate source

On a closed bounded region, the absolute extrema's candidates include interior critical points and the boundary's extrema, found by which methods? Answer with two words.

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