Section 4'3 Derivatives and the Shape of Curves

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Section 4'3 Derivatives and the Shape of Curves

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Thus the Mean Value Theorem says that... Example (cont'd) ...at some time t = c between a and b the. instantaneous velocity f (c) is equal to the ... –

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Title: Section 4'3 Derivatives and the Shape of Curves


1
Section 4.3Derivatives and the Shape of Curves
  • Goals
  • Apply the Mean Value Theorem to finding where
    functions are increasing and decreasing
  • Discuss the
  • first derivative test and
  • second derivative test
  • for local max/minima

2
Mean Value Theorem
  • This theorem is the key to connecting derivatives
    with the shape of curves

3
Geometric Interpretation
  • The next slide shows the points A(a, f(a)) and
    B(b, f(b)) on the graphs of two differentiable
    functions.
  • The slope of the secant line AB is
  • the same expression as in the Theorem.
  • Also f??(c) is the slope of the tangent at (c,
    f(c)) .

4
Geometric (contd)
5
Geometric (contd)
  • Thus Equation 1 of the Theorem says that there is
    at least one point P(c, f(c)) on the graph where
  • the slope of the tangent line is the same as
  • the slope of the secant line AB .
  • In other words, there is a point P where the
    tangent line is parallel to the secant line AB .

6
Example
  • If an object moves in a straight line with
    position function s f(t) , then the average
    velocity between t a and t b is
  • and the velocity at t c is f??(c) .
  • Thus the Mean Value Theorem says that

7
Example (contd)
  • at some time t c between a and b the
  • instantaneous velocity f??(c) is equal to the
  • average velocity.
  • For instance, if a car traveled 180 km in2 h,
    then the speedometer must have read 90 km/h at
    least once.

8
Increasing/Decreasing Functions
  • Earlier we observed from graphs that a function
    with a positive derivative is increasing.
  • This fact can also be deduced from the Mean Value
    Theorem

9
Example
  • Find where the function
  • f(x) 3x4 4x3 12x2 5
  • is increasing and decreasing.
  • Solution First we compute
  • f??(x) 12x3 12x2 24x 12x(x 2)(x 1)
  • To find where f??(x) gt 0 and where f??(x) lt 0 we
    arrange our work in a chart.

10
Solution (contd)
  • The chart shows the sign of
  • each factor of f??(x) over
  • each interval between the critical numbers 1,
    0, and 2
  • The next slide shows the graph of f

11
Solution (contd)
12
First Derivative Test
  • Recall that at a critical point a function can
    have a
  • a local maximum,
  • a local minimum, or
  • neither.
  • We can look at whether, and how, f?? changes sign
    at the critical point to decide which of the
    above possibilities is the case

13
First Derivative Test (contd)
  • The figures on the next two slides illustrate the
    First Derivative Test

14
First Derivative Test (contd)
15
First Derivative Test (contd)
16
Concavity
  • We recall the following definition of concavity
    from Chapter 2
  • In the figure on the next slide, the
  • slopes of the tangent lines increase from left to
    right on the interval (a, b) , and so
  • f?? is increasing, and f is concave upward.

17
Concavity (contd)
  • Likewise, the
  • slopes of the tangent lines decrease from left to
    right on (b, c) , and so
  • f?? is decreasing, and f is concave downward

18
Concavity (contd)
  • A point where a curve changes its direction of
    concavity is called an inflection point.
  • On the preceding graph, both P and Q are
    inflection points.
  • The fact that f?? (f??)? leads to a test for
    concavity based on the second derivative

19
Concavity (contd)
  • Thus there is a point of inflection at any point
    where the second derivative changes sign.
  • This leads to the following test for maximum and
    minimum values

20
Concavity (contd)
  • As the next slide illustrates, part (a) is true
    because f??(x) gt 0 near c , and so f is concave
    upward near c .
  • This means the graph of f lies above its
    horizontal tangent at c , and so f has a local
    minimum at c

21
Concavity (contd)
22
Example
  • Discuss y x4 4x3 with respect to
  • concavity,
  • points of inflection, and
  • local maxima and minima.
  • Solution If f(x) x4 4x3 , then
  • f??(x) 4x3 12x2 4x2(x 3)
  • and
  • f??(x) 12x2 24x 12x(x 2) .

23
Solution (contd)
  • Setting f??(x) 0 gives x 0 and x 3 .
  • To apply the Second Derivative Test we evaluate
    f?? at these critical numbers
  • f??(0) 0 f??(3) 36 gt 0
  • Thus
  • f(3) 27 is a local minimum, whereas
  • the Second Derivative Test gives no information
    about the critical number 0 .

24
Solution (contd)
  • However, since f??(x) lt 0 for
  • x lt 0 and also for
  • 0 lt x lt 3 ,
  • the First Derivative Test says that f does not
    have a maximum or minimum at 0 .
  • Next, since f??(x) 0 when x 0 or 2 , we
    complete the following chart

25
Solution (contd)
  • The points (0, 0) and (2, 16) are inflection
    points since the curve changes concavity at each
    of these points.
  • On the next slide is a sketch of f

26
Solution (contd)
27
Example
  • Sketch the graph of f(x) x2/3(6 x)1/3 .
  • Solution Calculation gives
  • Since f??(x) 0 when x 4 and f??(x) does not
    exist when x 0 or 6, the critical numbers are
    0, 4, and 6.

28
Solution (contd)
  • Here is a chart of the sign of f??
  • By the First Derivative Test, f has
  • a local minimum at x 0 with f(0) 0
  • a local maximum at x 4 with f(4) 25/3
  • neither at x 6 .

29
Solution (contd)
  • Studying f??(x) in a similar way shows
  • f??(x) lt 0 for x gt 0 and for 0 lt x lt 6
  • f??(x) gt 0 for x gt 6 .
  • Therefore f is concave
  • downward on (8, 0) and (0, 6) , and
  • upward on (6, 8) , with one
  • inflection point at (6, 0) .
  • On the next slide is the graph of f

30
Solution (contd)
31
Review
  • Mean Value Theorem
  • Increasing/Decreasing Test
  • First Derivative Test
  • Concavity Test
  • Second Derivative Test
  • Homework
  • 1,3,5,7,9,10,17-25 odd,29-31
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