How do you find the local maximum and minimum values of #f(x) = 5 + 9x^2 − 6x^3# using both the First and Second Derivative Tests?

Answer 1

The local maximum is #=(1,8)# and the local minimum is #=(0,5)#
The point of inflection is #=(1/2,13/2)#

Our function is

#f(x)=5+9x^2-6x^3#

The first derivative is

#f'(x)=18x-18x^2#

The critical points are when

#f'(x)=0#
#18x-18x^2=18x(1-x)#
#18x(1-x)=0#
Therefore, #x=0# and #x=1#

We can build a variation chart

#color(white)(aaaa)##x##color(white)(aaaa)##-oo##color(white)(aaaa)##0##color(white)(aaaaaaa)##1##color(white)(aaaa)##+oo#
#color(white)(aaaa)##x##color(white)(aaaaaaaa)##-##color(white)(aaaa)##+##color(white)(aaaa)##+#
#color(white)(aaaa)##1-x##color(white)(aaaaa)##+##color(white)(aaaa)##+##color(white)(aaaa)##-#
#color(white)(aaaa)##f'(x)##color(white)(aaaaa)##-##color(white)(aaaa)##+##color(white)(aaaa)##-#
#color(white)(aaaa)##f(x)##color(white)(aaaaa)##↘##color(white)(aaaa)##↗##color(white)(aaaa)##↘#

Now, we calculate the second derivative

#f''(x)=18-36x#
The point of inflection is when #f''(x)=0#

That is,

#18-36x=0#, #=>#, #x=18/36=1/2#

We build a variation chart with the second derivative

#color(white)(aaaa)##Interval##color(white)(aaaa)##(-oo,1/2)##color(white)(aaaa)##(1/2,+oo)#
#color(white)(aaaa)##sign f''(x)##color(white)(aaaaaa)##+##color(white)(aaaaaaaaaaaa)##-#
#color(white)(aaaa)## f(x)##color(white)(aaaaaaaaaaaa)##uu##color(white)(aaaaaaaaaaaa)##nn#

graph{5+9x^2-6x^3 [-15.35, 16.69, -3.14, 12.88]}

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Answer 2

# (0,5) \ \ \ \ \ \ \ = # minimum
# (1,8) \ \ \ \ \ \ \ = # maximum
# (1/2,13/2) = # non-stationary inflection point

We have:

# f(x) = 5 + 9x^2-6x^3 #

We can see the critical point via a graph:

graph{5 + 9x^2-6x^3 [-6, 6, -2, 14]}

We can examine the critical points using calculus:

Differentiating wrt #x# we get:
# f'(x) = 18x - 18x^2 #
At a critical point we have #f'(x) = 0#
# f'(x) = 0 => 18x - 18x^2 = 0 #
# :. 18x(1-x) = 0 => x = 0,1 #
And, now we have the #x#-coordinates, we can determine the nature of the turning points (or critical points) by using the second derivative test. Differentiating a second time, we get:
# f''(x) = 18 - 36x #

When:

# x= 0 => f''(0) = 18-0 \ \ gt 0 =>#minimum # x= 1 => f''(1) = 18-36 lt 0 => #maximum
Also note we have an inflection point if #f''(x)=0#
# f''(x) = 0 => 18-36x = 0 => x=1/2 #
Now we have the #x#-coordinate of the critical points let us find the associated #y#-coordinate:
# x= 0 \ => f(0) \ \ \ \ \ = 5 + 0-0 = 5 # # x= 1 \ => f(1) \ \ \ \ \ = 5 + 9-6 = 8 # # x= 1/2 => f(1/2) = 5 + 9(1/4)-6(1/8) = 13/2 #

Hence, in summary

# (0,5) \ \ \ \ \ \ \ = # minimum # (1,8) \ \ \ \ \ \ \ = # maximum # (1/2,13/2) = # non-stationary inflection point

Which is consistent with what we see graphically

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Answer 3

To find the local maximum and minimum values of ( f(x) = 5 + 9x^2 - 6x^3 ) using both the First and Second Derivative Tests:

  1. First Derivative Test:

    • Find the critical points by setting the derivative equal to zero and solving for ( x ).
    • Take the first derivative of ( f(x) ) and set it equal to zero: [ f'(x) = 18x - 18x^2 ]
    • Set ( f'(x) ) equal to zero and solve for ( x ): [ 18x - 18x^2 = 0 ] [ 18x(1 - x) = 0 ] [ x = 0 \text{ or } x = 1 ]
    • These are the critical points.
  2. Second Derivative Test:

    • Find the second derivative of ( f(x) ) and evaluate it at the critical points. [ f''(x) = 18 - 36x ]
    • Evaluate ( f''(x) ) at the critical points:
      • For ( x = 0 ): ( f''(0) = 18 > 0 ) (Concave up)
      • For ( x = 1 ): ( f''(1) = 18 - 36(1) = -18 < 0 ) (Concave down)
  3. Conclusion:

    • At ( x = 0 ), since the second derivative is positive, it implies a local minimum.
    • At ( x = 1 ), since the second derivative is negative, it implies a local maximum.

Therefore, ( f(x) ) has a local minimum at ( x = 0 ) and a local maximum at ( x = 1 ).

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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