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Find the local maximum and minimum values and saddle point(s) of the function. You are encouraged to use a calculator or computer to graph the function with a domain and viewpoint that reveals all the important aspects of the function. (Enter your answers as comma-separated lists. If an answer does not exist, enter DNE.) f(x,y)=92x+4yx24y2f(x, y) = 9 - 2x + 4y - x^2 - 4y^2

  • Local maximum value(s):
  • Local minimum value(s):
  • Saddle point(s) (x,y)=(x, y) =

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Question :

Find the local maximum and minimum values and saddle point(s) of the function. you are encouraged to use a calculator or computer to graph the function with a domain and viewpoint that reveals all the important aspects of the function. (enter your answers as comma-separated lists. if an answer does not exist, enter dne.) f(x,y)=92x+4yx24y2f(x, y) = 9 - 2x + 4y - x^2 - 4y^2

  • local maximum value(s):
  • local minimum value(s):
  • saddle point(s) (x,y)=(x, y) =

Find the local maximum and minimum values and saddle point(s) of the function. y | Doubtlet.com

Solution:

Neetesh Kumar

Neetesh Kumar | November 30, 2024

Calculus Homework Help

This is the solution to Math 1D
Assignment: 14.7 Question Number 1
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Step-by-step solution:

Step 1: Partial derivatives

To find critical points, calculate the partial derivatives of f(x,y)f(x, y) with respect to xx and yy.

  1. Partial derivative with respect to xx: fx=fx=22xf_x = \frac{\partial f}{\partial x} = -2 - 2x

  2. Partial derivative with respect to yy: fy=fy=48yf_y = \frac{\partial f}{\partial y} = 4 - 8y

Step 2: Solve for critical points

Set fx=0f_x = 0 and fy=0f_y = 0 to find the critical points.

  1. From fx=22x=0f_x = -2 - 2x = 0, solve for xx: x=1x = -1

  2. From fy=48y=0f_y = 4 - 8y = 0, solve for yy: y=12y = \frac{1}{2}

Thus, the critical point is: (x,y)=(1,12)(x, y) = (-1, \frac{1}{2})

Step 3: Second partial derivatives

Compute the second partial derivatives to classify the critical point.

  1. fxx=2fx2=2f_{xx} = \frac{\partial^2 f}{\partial x^2} = -2
  2. fyy=2fy2=8f_{yy} = \frac{\partial^2 f}{\partial y^2} = -8
  3. fxy=2fxy=0f_{xy} = \frac{\partial^2 f}{\partial x \partial y} = 0

Step 4: Discriminant test

The discriminant DD is given by: D=fxxfyy(fxy)2D = f_{xx} f_{yy} - (f_{xy})^2

Substitute the values: D=(2)(8)(0)2=16D = (-2)(-8) - (0)^2 = 16

Since D>0D > 0 and fxx<0f_{xx} < 0, the critical point (1,12)(-1, \frac{1}{2}) is a local maximum.

Step 5: Local maximum, minimum, and saddle points

  • Local maximum value(s): Substitute (1,12)(-1, \frac{1}{2}) into f(x,y)f(x, y): f(1,12)=92(1)+4(12)(1)24(12)2f(-1, \frac{1}{2}) = 9 - 2(-1) + 4(\frac{1}{2}) - (-1)^2 - 4(\frac{1}{2})^2 =9+2+211=11= 9 + 2 + 2 - 1 - 1 = 11

    Therefore, the local maximum value is: 1111

  • Local minimum value(s): There are no local minima since fxx<0f_{xx} < 0 at the critical point, indicating a local maximum.

  • Saddle point(s): There are no saddle points because D>0D > 0 and the critical point is classified as a local maximum.

Final Answer:

Local maximum value(s): 11\boxed{11}

Local minimum value(s): DNE\boxed{\text{DNE}}

Saddle point(s) (x,y)=(x, y) = DNE\boxed{\text{DNE}}


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