Math, asked by suvarnaavhad312000, 6 months ago



Examine for extreme value
F(x,y)=(y²-x²)e^y

Answers

Answered by userg4470
2

Answer:

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Step-by-step explanation:

Answer

Steve M

Feb 11, 2018

We have:

f

(

x

,

y

)

=

x

y

+

e

x

2

y

2

Step 1 - Find the Partial Derivatives

We compute the partial derivative of a function of two or more variables by differentiating wrt one variable, whilst the other variables are treated as constant. Thus:

The First Derivatives are:

f

x

=

y

+

e

x

2

y

2

(

2

x

)

=

y

2

x

e

x

2

y

2

f

y

=

x

+

e

x

2

y

2

(

2

y

)

=

x

2

y

e

x

2

y

2

The Second Derivatives (quoted) are:

f

x

x

=

2

e

x

2

y

2

+

4

x

2

e

x

2

y

2

f

y

y

=

2

e

x

2

y

2

+

4

y

2

e

x

2

y

2

The Second Partial Cross-Derivatives are:

f

x

y

=

1

+

4

x

y

e

x

2

y

2

f

y

x

=

1

+

4

x

y

e

x

2

y

2

Note that the second partial cross derivatives are identical due to the continuity of

f

(

x

,

y

)

.

Step 2 - Identify Critical Points

A critical point occurs at a simultaneous solution of

f

x

=

f

y

=

0

f

x

=

f

y

=

0

i.e, when:

f

x

=

y

2

x

e

x

2

y

2

=

0

...

[

A

]

f

y

=

x

2

y

e

x

2

y

2

=

0

...

[

B

]

}

simultaneously

From which we can establish:

[

A

]

y

2

x

e

x

2

y

2

=

0

e

x

2

y

2

=

y

2

x

[

B

]

x

2

y

e

x

2

y

2

=

0

e

x

2

y

2

=

x

2

y

Thus we require that:

y

2

x

=

x

2

y

x

2

=

y

2

Then we have two (infinite plane) solutions:

x

=

±

y

And so we conclude there are infinitely many critical points along the entire lengths of the intersection of the curve and the two planes

x

=

±

y

Step 3 - Classify the critical points

In order to classify the critical points we perform a test similar to that of one variable calculus using the second partial derivatives and the Hessian Matrix.

Δ

=

H

f

(

x

,

y

)

=

f

x

x

f

x

y

f

y

x

f

y

y

=

2

f

x

2

2

f

x

y

2

f

y

x

2

f

y

2

=

f

x

x

f

y

y

(

f

x

y

)

2

Then depending upon the value of

Δ

:

Δ

>

0

There is maximum if

f

x

x

<

0

and a minimum if

f

x

x

>

0

Δ

<

0

there is a saddle point

Δ

=

0

Further analysis is necessary

Δ

=

{

2

e

x

2

y

2

+

4

x

2

e

x

2

y

2

}

{

2

e

x

2

y

2

+

4

y

2

e

x

2

y

2

}

{

1

+

4

x

y

e

x

2

y

2

}

2

=

e

2

(

x

2

+

y

2

)

(

8

x

y

e

x

2

+

y

2

e

2

(

x

2

+

y

2

)

8

x

2

8

y

2

+

4

)

We need to consider the sign of

Δ

, and we note that

e

z

>

0

z

R

, so only need to consider the sign of:

Δ

'

=

8

x

y

e

x

2

+

y

2

e

2

(

x

2

+

y

2

)

8

x

2

8

y

2

+

4

So, depending upon the sign

Δ

'

we have an infinite number maxima and saddle points along the planes

x

=

±

y

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