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ki77a [65]
2 years ago
7

Find the local maximum and minimum values and saddle point(s) of the function. If you have three-dimensional graphing software,

graph the function with a domain and viewpoint that reveal all the important aspects of the function. (Enter your answers as a comma-separated list. If an answer does not exist, enter DNE.) f(x, y) = 9 - 2x + 4y - x2 - 4y2

Mathematics
2 answers:
pogonyaev2 years ago
5 0

Answer:

The point (-1,1/2) is a local maximum and there are no local minimums and saddle points.

Step-by-step explanation:

The function to study is f(x,y) = 9-2x+4y-x^2-4y^2 which is a differentiable function on the variables x and y. We find the possible points of local maximum, local minimum and saddle points finding the point where the partial derivatives are zero at the same time. So, we must calculate the partial derivatives:

\frac{\partial f}{\partial x} = -2-2x = -2(x+1)

\frac{\partial f}{\partial y} = 4-8y = 4(1-2y)

It is not difficult to see that the only point where \frac{\partial f}{\partial x}(x,y)=\frac{\partial f}{\partial y}(x,y) =0 is (-1,1/2). Notice that the system of equations

\begin{cases} -2(x+1) &= 0\\ 4(1-2y) &= 0\end{cases}

has solution x= -1 and y=1/2.

If we want to know if (-1,1/2) is local maximum, local minimum or saddle point we must calculate the partial derivatives of second order:

\frac{\partial^2 f}{\partial x^2} = -2 = A

\frac{\partial^2 f}{\partial y^2} = -8 = B

\frac{\partial^2 f}{\partial y \partial x} = \frac{\partial^2 f}{\partial x \partial y} = 0 = C.

Substituting the values into the formula AB-C^2 we get (-2)(-8)-0=16>0. As the value we have obtained is greater than zero and A=-2<0 we assure that the point (-1,1/2) is a local minimum.

There are no local maximums or saddle points.

grandymaker [24]2 years ago
4 0

Solution:

There is no saddle point (DNE). However, there is local maximum at (1, 1/2) for the given function.

Explanation:

we have function of two variables f(x,y)= 9-2x+4y-x^2-4y^2

we will find the values by partial derivative with respect to x,y,xy

f_{x}= -2 -2x

f_{y}= 4 -8y

to find the saddle point we should first find the critical points so equate

-2 -2x=0 and   4 -8y=0

we get x= 1  and y =1/2 so, critical points are (1,1/2)

to find local maximum or minimum we have to find f_{xx},  f_{yy} and f_{xy}

formula is f_{xx} *f_{yy} - f^{2_{xy} } =0

f_{xx} = -2

f_{yy} = -8

f^{2_{xy} } =0

putting values in formula

(-2)*(-8) -0 =16 > 0, and f_{xx}< 0  and f_{yy}<0

so, here we have local maximum

we have no saddle point for this function by using the same formula we used to find extrema.



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Step-by-step explanation:

Step 1:-

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                               y = 40 -x

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                                              A = 40 x - x^2 .....(1)

<u>Step :2</u>

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                                      \frac{dA}{dx} = 40 -2x     ........(2)

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<u>Step 3</u>:-

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Again differentiating equation (2) with respective to 'x' we get

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Now the maximum area A =  x y at x =20 and y=20

                                        A = 20 X 20 = 400

                                         

<u>Conclusion</u>:-

The  dimensions are x =20 and y=20 of the garden that will maximize its area is 400

<u>verification</u>:-

The perimeter = 2(x +y) =80

                           2(20 +20) =80

                              2(40) =80

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