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JulsSmile
2 months 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:
Zina [12.3K]2 months ago
5 0

Response:

The point (-1,1/2) serves as a local maximum, with no presence of local minimums or saddle points.

Detailed breakdown:

The function under analysis is f(x,y) = 9-2x+4y-x^2-4y^2, which is a differentiable function concerning variables x and y. To discover potential local maxima, minima, and saddle points, we examine where the partial derivatives equal zero simultaneously. Thus, we need to 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’s evident that the only critical point identified is (-1,1/2). Notably, the system of equations

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

yields solutions x= -1 and y=1/2.

To determine if (-1,1/2) is a maximum, minimum, or saddle point, we must calculate the second-order partial derivatives:

\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 compute (-2)(-8)-0=16>0. Since the result is greater than zero and A=-2<0, we conclude that (-1,1/2) is a local minimum.

Therefore, no local maximums or saddle points exist.

PIT_PIT [12.4K]2 months ago
4 0

Result:

This function does not have a saddle point (DNE). However, there is a local maximum located at (1, 1/2).

Clarification:

The function in question is f(x,y) = 9 - 2x + 4y - x^2 - 4y^2

We will derive the values using partial derivatives with respect to x, y, and xy.

f_{x} = -2 -2x

f_{y} = 4 -8y

To identify the saddle point, we first locate the critical points by setting

-2 -2x=0 and 4 -8y=0

giving us x= 1 and y = 1/2, confirming the critical points as (1, 1/2).

To ascertain if there's a local maximum or minimum, we must evaluate f_{xx}, f_{yy}, and f_{xy}.

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

f_{xx} = -2

f_{yy} = -8

f^{2_{xy} } =0

Plugging the values into the formula yields

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

Thus, we identify a local maximum.

There is no saddle point for this function using the same formula that helped us find extrema.



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