Solutions to exam 2 practice problems
Solutions to exam 2 practice problems
Solutions to exam 2 practice problems
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Then evaluate the discriminant at the point (3, 3),<br />
D = ( 108<br />
27 )2 − 4 = 16 − 4 = 12 > 0<br />
Since D > 0 and f ww > 0, the critical point is a local minimum.<br />
The possible values of w, h are w, h > 0. Notice that f(3, 3) = 54.<br />
To check that it is a global minimum, check that in each of the following situations<br />
f(w, h) > 54.<br />
(a) w ≤ 1/4<br />
(b) h ≤ 1/4<br />
(c) w ≥ 1/4, h ≥ 400<br />
(d) h ≥ 1/4, w ≥ 400<br />
Since the region R where 1/4 ≤ w ≤ 400 and 1/4 ≤ h ≤ 400 is closed and bounded f<br />
achieves a global minimum on R. Since there is only one critical point and the value<br />
at that critical point is less than the values of f along the entire boundary the critical<br />
point is a global minimum.<br />
11. Let f(x, y) = x 2 + 6y 2 and let g(x, y) = x + 3y.<br />
(a) Use Lagrange multipliers <strong>to</strong> find the minimum of f(x, y) subject <strong>to</strong> the constraint<br />
g(x, y) = 10. Assume that there is a global minimum.<br />
(b) Explain why f(x, y) has no maximum subject <strong>to</strong> the constraint g(x, y) = 10.<br />
(c) Explain why g(x, y) has a maximum and a minimum subject <strong>to</strong> the constraint<br />
f(x, y) = 9.<br />
(d) Find the maximum and minimum of g(x, y) subject <strong>to</strong> the constraint f(x, y) = 9.<br />
(a) Notice I added ”Assume that there is a global minimum” <strong>to</strong> the question. If we assume<br />
this, then we know it must occur at a point where either the gradients of f and g are<br />
parallel, an endpoint of the constraint or when the gradient of g is zero.<br />
First compute the gradients of f and g :<br />
∇f(x, y) = 2x⃗i + 12y⃗j<br />
∇g(x, y)<br />
= ⃗i + 3⃗j<br />
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