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zvonat [6]
4 years ago
13

Find the critical points of the given function and then determine whether it is a local maximum, local minimum, or saddle point.

f(x, y) = 8x2 + 2xy + 5x + y2 + y + 6 critical point classification (x, y ) =
Mathematics
1 answer:
irga5000 [103]4 years ago
7 0

Answer:

Therefore the critical point is (x,y)= (-\frac12,0).

Therefore (-\frac12,0) is local minimum.

Step-by-step explanation:

Given function is

z=f(x,y)=8x^2+2xy+5x+y^2+y+6

The partial derivatives of z are

\frac{\partial z}{\partial x}= 8.2x+2y+5=16x+2y+5

and  

\frac{\partial z}{\partial y}=2x+2y+1

To find the critical point, setting the partial derivatives equal to zero.

∴16x+2y+5 =0......(1) and 2x+2y+1=0.......(2)

Now solving the above equation,

Subtract equation (2) from equation (1)

16x+2y+5-( 2x+2y+1)=0

⇒16x+2y+5-2x-2y-1=0

⇒8x+4=0

⇒ 8x = -4

\Rightarrow x=-\frac{4}{8}

\Rightarrow x= -\frac{1}{2}

Now putting the value of x in (2)

2.(-\frac12)+2y+1=0

\Rightarrow -1 +2y+1=0

⇒2y=0

⇒y=0

Therefore the critical point is (x,y)= (-\frac12,0).

Second order partial derivatives are

\frac{\partial^2 z}{\partial x^2 }= 16 ,\frac{\partial^2 z}{\partial y^2 }= 2 and \frac{\partial^2 z}{\partial x \partial y}= \frac{\partial^2 z}{\partial y \partial x} =2

The discriminant

D= \frac{\partial^2 z}{\partial x^2 }.\frac{\partial^2 z}{\partial y^2 }-(\frac{\partial^2 z}{\partial x \partial y})^2

  =16+2-(2)^2

  =14>0

D(-\frac12,0) = 14 >0, Then at (-\frac12,0) is either local minimum or local maximum.

Since  \frac{\partial^2 z}{\partial x^2 } \right} | _{(-\frac12,0)}= 16>0, So the function is concave up.

Therefore (-\frac12,0) is local minimum.

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