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The Derivative

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Title: The Derivative


1
Chapter 3
The Derivative
By Kristen Whaley
2
3.1Slopes and Rates of Change
  • Average Velocity
  • Instantaneous Velocity
  • Average Rate of Change
  • Instantaneous Rate of Change

3
Average Velocity
  • For an object moving along an s-axis, with s
    f(t), the average velocity of an object between
    times t0 and t1 is

Secant Line the line determined by two points on
a curve
4
Instantaneous Velocity
  • For an object moving along an s-axis, with s
    f(t), the instantaneous velocity of the object at
    time t0 is

http//www.coolschool.ca/lor/CALC12/unit2/U02L01/a
veragevelocityvsinstantaneous.swf
5
Average and Instantaneous Rates of Change
  • Slope can be viewed as a rate of change, and can
    be useful beyond simple velocity examples.
  • If y f(x), the average rate of change over the
    interval x0, x1 of y with respect to x is
  • If y f(x), the instantaneous rate of change of y
    with respect to x at x0 is

6
Examples!!
  • 1 Find the slope of the graph of f(x) x21 at
    the point x0 2

Were looking for the instantaneous rate of
change (slope) of f(x) at x 2
7
Examples!!
  • 2 During the first 40s of a rocket flight, the
    rocket is propelled straight up so that in t
    seconds it reaches a height of s5t3 ft.
  • How high does the rocket travel?
  • What is the average velocity of the rocket during
    the first 40 sec?
  • What is the instantaneous velocity of the rocket
    at the 40 sec mark?

8
Examples!!
  • 2 (cont)
  • How high does the rocket travel?

Knowns s 5t3 ft t 40 sec
s 5 (40)3
9
Examples!!
  • 2 (cont)
  • What is the average velocity of the rocket during
    the first 40 sec?

10
Examples!!
  • 2 (cont)
  • What is the instantaneous velocity of the rocket
    at the 40 sec mark?

11
3.2The Derivative
  • Definition of the derivative
  • Tangent Lines
  • The Derivative of f
  • with Respect to x
  • Differentiability
  • Derivative Notation
  • Derivatives at the
  • endpoints of an interval

12
Definition of the Derivative
  • The derivative of f at x x0 is denoted by
  • f (x0) lim f(x1) f(x2)
  • x1 x2

x1 ?x2
Assuming this limit exists, f (x0)
the slope of f at (x0, f(x0))
13
Tangent Lines
  • The tangent line to the graph of f at (x0, f(x0))
    is the line whose equation is
  • y - f(x0) f(x0) ( x - x0 )

14
The Derivative of f with Respect to x
  • f (x) lim f(w) f(x)
  • w x

w ? x
15
Differentiability
  • For a given function, if x0 is not in the domain
    of f, or if the limit does not exist at x0, than
    the function is not differentiable at x0

NOTE If f is differeniable at xx0, then f must
also be continuous at x0
  • The most common instances of nondifferentiability
    occur at a

16
Derivative Notation
the derivative of f(x) with respect to x
17
Derivatives at the Endpoints of an Interval
  • If a function f is defined on a closed interval
    a, b, then the derivative f(x) is not defined
    at the endpoints because

f (x) lim f(w) f(x)
w x
w?x
is a two-sided limit. Therefore, define the
derivatives using one-sided, right and left hand,
limits
18
Derivatives at the Endpoints of an Interval
  • A function f is differentiable on intervals
  • a, b
  • a, 8)
  • (-8, b
  • a, b)
  • (a, b
  • if f is differentiable at all numbers inside the
    interval, and at the endpoints (from the left or
    right)

19
Examples!!
  • 1 Given that f(3) -1 and f(x) 5, find an
    equation for the tangent line to the graph of y
    f(x) at x3

KNOWNS F(x) slope of the tangent line
5 Point given (3, -1)
USING POINT SLOPE FORM y 1 (5) (x 3)
20
Examples!!
  • 2 For f(x)3x2 , find f(x), and then find the
    equation of the tangent line to yf(x) at x 3

KNOWNS f(x) slope of tangent line
(6a) point (3, 27)
POINT SLOPE FORM y 27 (18) (x 3)
21
3.3Techniques of Differeniation
  • Basic Properties
  • The Power Rule
  • The Product Rule
  • The Quotient Rule

22
Basic Properties
23
The Power Rule
24
The Product Rule
The Quotient Rule
25
Examples!!
  • 1 Find dy/dx of y (x-3) (x4 7)

Let f(x) (x-3) and g(x) (x4 7)
26
Examples!!
Let f(x) 4x 1 and g(x) x2 - 5
27
3.4Derivatives of Trigonometric Functions
  • Derivatives of the Trigonometric Functions (sinx,
    cosx, tanx, secx, cotx, cscx)

28
Derivatives of Trigonometric Functions!
29
Examples!!
Solve this using the quotient and product rules
30
Examples!!
2 Find y (x) of y x3 sin x 5 cos x
Solve this using the product rule
31
3.5The Chain Rule
  • Derivatives of Compositions
  • The Chain Rule
  • An Alternate Approach

32
Derivatives of Compositions
If you know the derivative of f and g, how can
you use these to find the derivative of the
composition of f g?
33
Chain Rule!
  • If g is differentiable at x and f is
    differentiable at g(x), then the composition f
    g is differentiable at x
  • If y f(g(x)) and u g(x)
  • then y f(u)

34
An Alternative Approach
  • Sometimes it is easier to write the chain rule
    as

g(x) is the inside function
f(x) is the outside function
The derivative of f(g(x)) is the derivative of
the outside function evaluated at the inside
function times the derivative of the inside
function
35
An Alternative Approach
  • That is

36
An Alternative Approach
  • Substituting u g(x) you get

37
Examples!!
1 Find dy/dx of y (5x 8)13(x3 7x)12
Use the chain rule, and product rule
dy/dx (5x 8)1312(x3 7x)11(3x2 7)
(x3 7x)1213(5x 8)12(5)
38
3.6Implicit Differentiation
  • Explicit versus Implicit
  • Implicit Differentiation

39
Explicit Versus Implicit
  • A function in the form y f(x) is said to
    define y explicitly as a function of x because
    the variable y appears alone on one side of the
    equation.
  • If a function is defined by an equation in which
    y is not alone on one side, we say that the
    function defines y implicitly

40
Explicit Versus Implicit
  • Implicit
  • yx y 1 x
  • NOTE The implicit function can sometimes by
    rewritten into an explicit function
  • Explicit
  • y (x-1) / (x1)

41
Explicit Versus Implicit
  • A given equation in x and y defines the function
    f implicitly if the graph of y f(x)
    coincides with a portion of the graph of the
    equation

42
Explicit Versus Implicit
  • So, for example the graph of x2 y2 1 defines
    the functions
  • f1(x) v(1-x2)
  • f2(x) -v(1-x2)
  • implicitly, since the graphs of these functions
    are contained in the circle x2 y2 1

43
Explicit Versus Implicit
44
Implicit Differentiation
  • Usually, it is not necessary to solve an equation
    for y in terms of x in order to differentiate the
    functions defined implicitly by the equation

45
Examples!!
  • 1 Find dy/dx for sin(x2y2) x

46
Examples!!
  • 2 Find d2y/dx2 for x3y3 4 0

47
3.7Related Rates
  • Differentiating Equations to Relate Rates

48
Differentiating Equations to Relate Rates
  • Strategy for Solving Related Rates

Step 1 Identify the rates of change that are
known and the rate of change that is to be found.
Interpret each rate as a derivative of a
variable with respect to time, and provide a
description of each variable involved.
49
Differentiating Equations to Relate Rates
  • Strategy for Solving Related Rates

Step 2 Find an equation relating those
quantities whose rates are identified in Step 1.
In a geometric problem, this is aided by drawing
an appropriately labeled figure that illustrates
a relationship involving these quantities.
50
Differentiating Equations to Relate Rates
  • Strategy for Solving Related Rates

Step 3 Obtain an equation involving the rates
in Step 1 by differentiating both sides of the
equation in Step 2 with respect to the time
variable.
51
Differentiating Equations to Relate Rates
  • Strategy for Solving Related Rates

Step 4 Evaluate the equation found in Step 3
using the known values for the quantities and
their rates of change at the moment in question.
52
Differentiating Equations to Relate Rates
  • Strategy for Solving Related Rates

Step 5 Solve for the value of the remaining
rate of change at this moment.
53
Example!!
  • 1 Sand pouring from a chute forms a conical
    pile whose height is always equal to the
    diameter. If the height increases at a constant
    rate of 5ft/ min, at what rate is sand pouring
    from the chute when the pile is 10 ft high?

54
Example!!
1 (cont.)
  • STEP1.

t time h height of conical pile at a given
time V amount of sand in conical pile at a
given time
55
Example!!
1 (cont.)
  • STEP2.

56
Example!!
1 (cont.)
  • STEP3.

STEP4.
STEP5.
57
Example!!
  • 2 A 13-ft ladder is leaning against a wall.
    If the top of the ladder slips down the wall at a
    rate of 2 ft/sec, how fast will the foot of the
    ladder be moving away from the wall when the top
    is 5 ft above the ground?

58
Example!!
2 (cont.)
  • STEP1.

t time h height of the top of the ladder
against the wall D distance of the foot of the
ladder from the base of the wall
59
Example!!
2 (cont.)
  • STEP2.

D2 h2 132
D2 h2 169
60
Example!!
2 (cont.)
  • STEP3.

D2 h2 169
(note at h5, D 12)
STEP4.
STEP5.
61
3.8Local Linear Approximation Differentials
  • Local Linear Approximation
  • Differentials

62
Local Linear Approximation
  • Linear Approximation may be described informally
    in terms of the behavior of the graph of f under
    magnification if f is differentiable at x0, then
    stronger and stronger magnifications at a point,
    P, eventually make the curve segment containing P
    look more and more like a nonvertical line
    segment, that line being the tangent line to the
    graph of f at P.

63
Local Linear Approximation
  • A function that is differentiable at x0 is said
    to be locally linear at the point P (x0, f(x0))

As you zoom closer to a point P, the function
looks more and more linear
64
Local Linear Approximation
  • Assume that a function f is differentiable at x0,
    and remember that the equation of the tangent
    line at the point P (x0, f(x0)) is

65
Local Linear Approximation
  • Since the tangent line closely approximates the
    graph of f for values of x near x0, that means
    that provided x is near x0, then

This is called the local linear approximation of
f at x0
66
Local Linear Approximation
  • By rewriting the formula

with ?x x - x0, you get
67
Local Linear Approximation
  • Generally, the accuracy of the local linear
    approximation to f(x) at x0 will deteriorate as c
    gets progressively farther from x0.

68
Differentials
  • Early in the development of calculus, the symbols
    dy and dx represented infinitely small
    changes in the variables y and x. The
    derivative dy/dx was thought to be a ratio of
    these infinitely small changes. However, the
    precise meaning is logically elusive.
  • Our goal is to define the symbols dy and dx so
    that dy/dx can actually be treated as a ratio

69
Differentials
  • The variable dx is called the differential of x.
    If we are given a function y f(x) tha is
    differentiable at x x0, then we define the
    differential of f at x0 to be the function of dx
    given by the formula

70
Differentials
  • The symbol dy is simply the dependant variable of
    this function, and is called the differential of
    y. dy is proportional to dx with constant of
    proportionality f (x0). If dx is not 0, you
    can obtain

71
Differentials
Because f (x) is equal to the slope of the
tangent line to the graph of f at the point
(x,f(x)), the differentials dy and dx can be
described as the rise and run of this tangent
line.
72
EXAMPLES!!
  • 1 Find the local linear approximation of x3 at
    x0 1

y 1 3(x-1)
73
EXAMPLES!!
  • 2 Use an appropriate local linear approximation
    to estimate the value of v (36.03)

Let f(x)v(x) f (x) (1/2)x-(1/2)
f(36.03) f(36) (1/12)(36.03-36)
f(36.03) 6 (1/12)(.03)
74
EXAMPLES!!
  • 3 Find the differential dy for y xcosx

dy/dx -xsinx cosx
75
BIBLIOGRAPHY!!!
  • http//mathcs.holycross.edu/spl/old_courses/131_f
    all_2005/tangent_line.gif
  • http//www.coolschool.ca/lor/CALC12/unit3/U03L08/e
    xample_07.gif
  • http//www.clas.ucsb.edu/staff/Lee/Tangent20and2
    0Derivative.gif
  • http//images.search.yahoo.com/search/images/view?
    backhttp3A2F2Fimages.search.yahoo.com2Fsearch
    2Fimages3Fp3Dproduct2Brule2Bcalculus26ei3DU
    TF-826fr3Dyfp-t-50126x3Dwrtw309h272imgurl
    www.karlscalculus.org2Fqrule_still.gifrurlhttp
    3A2F2Fwww.karlscalculus.org2Fcalc4_3.htmlsize
    15.1kBnameqrule_still.gifpproductrulecalcul
    ustypegifno4tt53oid0077160168cbaf58eiUTF
    -8
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