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Math 53 Worksheet Solutions- Minmax and Lagrange 1. Find the local maximum and minimum values as well as the saddle point(s) of the function f (x, y) = e y (y 2 x 2 ). Solution. First we calculate the partial derivatives and set them equal to zero. f x (x, y) = 2xe y = 0, f y (x, y) = e y (y 2 x 2 ) + 2ye y = 0. For the rst equation, e y = 0, so we have x = 0. Plugging this in to the second equation, we have e y [y 2 + 2y] = 0, and since again e y = 0, we have y = 0 and y = 2. So our two critical points are (0 , 0) and (0, 2). We now must check what kind of critical points these are. To do this we need the second and mixed partials, f xx (x, y) = 2e y , f yy (x, y ) = e y (y 2 x 2 + 2y ) + e y (2y + 2), f xy (x, y) = 2xe y . At the point (0, 0), we have f xx (0, 0) = 2, f yy (0, 0) = 2, f xy (0, 0) = 0, and so D = f xx (0, 0)f yy (0, 0) [f xy (0, 0)] 2 = 4 < 0, and since f xx (0, 0) < 0, we know that f has a local maximum at (0,0) by the second derivative test. At the point (0 , 2), we have f xx (0, 2) = 2e 2 , f yy (0, 2) = 2e 2 , f xy (0, 2) = 0, and so D = f xx (0, 2)f yy (0, 2) [f xy (0, 2)] 2 = 4 > 0, so f has a saddle point at (0, 2). 2. Find the absolute maximum and minimum values of f (x, y) = 2x 3 + y 4 on the set D = {(x, y)|x 2 + y 2 1}. Solution. Recall the method for nd absolute maxima and minima: 1. Find the critical points of f . No second derivative test is needed. 2. Find the values of f at the function’s critical points. 3. Find the extreme values of f on the boundary of the region in question. (Don’t forget endpoints!) 4. The largest value from (2) and (3) is the maximum; the smallest is the minimum. 1

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