| 1. |
Find the maximum and minimum value of X^3Y^2(1-x-y) |
|
Answer» ong>Step-by-step explanation: We can expand f to f ( x , y ) = x y − x 2 y − x y 2 . Next, find the PARTIAL derivatives and set them equal to zero. ∂ f ∂ x = y − 2 x y − y 2 = y ( 1 − 2 x − y ) = 0
∂ f ∂ y = x − x 2 − 2 x y = x ( 1 − x − 2 y ) = 0
Clearly, ( x , y ) = ( 0 , 0 ) , ( 1 , 0 ) , and ( 0 , 1 ) are solutions to this system, and so are CRITICAL points of f . The other solution can be found from the system 1 − 2 x − y = 0 , 1 − x − 2 y = 0 . Solving the first equation for y in terms of x gives y = 1 − 2 x , which can be plugged into the second equation to GET 1 − x − 2 ( 1 − 2 x ) = 0 ⇒ − 1 + 3 x = 0 ⇒ x = 1 3 . From this, y = 1 − 2 ( 1 3 ) = 1 − 2 3 = 1 3 as well. To test the nature of these critical points, we find second derivatives: ∂ 2 f ∂ x 2 = − 2 y , ∂ 2 f ∂ y 2 = − 2 x , and ∂ 2 f ∂ x ∂ y = ∂ 2 f ∂ y ∂ x = 1 − 2 x − 2 y . The discriminant is therefore: D = 4 x y − ( 1 − 2 x − 2 y ) 2
= 4 x y − ( 1 − 2 x − 2 y − 2 x + 4 x 2 + 4 x y − 2 y + 4 x y + 4 y 2 ) = 4 x + 4 y − 4 x 2 − 4 y 2 − 4 x y − 1
Plugging the first three critical points in gives: D ( 0 , 0 ) = − 1 < 0 , D ( 1 , 0 ) = 4 − 4 − 1 = − 1 < 0 , and D ( 0 , 1 ) = 4 − 4 − 1 = − 1 < 0 , making these points saddle points. Plugging in the last critical point gives D ( 1 3 , 1 3 ) = 4 3 + 4 3 − 4 9 − 4 9 − 4 9 − 1 = 1 3 > 0 . Also note that ∂ 2 f ∂ x 2 ( 1 3 , 1 3 ) = − 2 3 < 0 . Therefore, ( 1 3 , 1 3 ) is a location of a LOCAL maximum value of f . You can check that the local maximum value itself is f ( 1 3 , 1 3 ) = 1 27 . Below is a picture of the contour map (of level curves) of f (the curves where the OUTPUT of f is constant), along with the 4 critical points of f . |
|