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  • 8/3/2019 Chapter 8A Full Version - Differentiation Techniques

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    Raffles Junior CollegeH2 Mathematics 9740JC1 2008 (Year 5) Full Version

    __________________________________________________________

    ______________________________________________________Chapter 8A: Differentiation I Techniques of Differentiation & Limits

    Page 1 of 15

    Chapter 8ADifferentiation I Techniques of Differentiation & Limits

    Syllabus will include:

    differentiation of simple functions defined implicitly or parametrically

    finding the numerical value of a derivative at a given point using a graphic calculator

    PRE-REQUISITES

    Understand the idea of a derived function.

    Usethederivativesofn

    x (foranyrational n ),sinx ,cosx ,tanx ,ex ,lnx ,together with

    constant multiples, sums, and composite functions of these. Differentiate products and quotients of functions.

    CONTENT

    1 Limits and Derivative

    1.1 Limits

    1.2 Derivative as a Limit

    2 Basic Rules of Differentiation

    3 Derivatives of Standard Functions

    3.1 Power Functions3.2 Exponential and Logarithmic Functions

    3.3 Trigonometric Functions

    3.4 Inverse Trigonometric Functions

    4 Higher Order Derivatives

    5 Implicit Differentiation

    6 Parametric Differentiation

    6.1 Parametric Equations

    6.2 Differentiation of Parametric Equations

    INTRODUCTION

    Differentiation deals with the concept of change. It is useful for understanding phenomena inmany fields of study,including business,economics and social sciences.This topic reinforcesthe ideas of derivatives that students learnt in O-Level Additional Mathematics and furtherdevelops the idea of derivatives as a limit.In this chapter,students will learn more techniquesof differentiation such as implicit differentiation and parametric differentiation. Students willalso learn to use the graphic calculator to calculate derivatives.

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    1 LIMITS AND DERIVATIVES

    1.1 Limits

    Consider the expression2

    1x + .

    Let x approaches 2 from the left. Let x approaches 2 from the right.

    We write 2x . We write 2x + .

    From the table above, we see that From the table above, we see that

    as 2x ,2

    1x + approaches 5, as 2x + ,2

    1x + approaches 5,

    i.e. the limiting value of2

    1x + is 5. i.e. the limiting value of2

    1x + is 5.

    We write2

    2lim ( 1) 5

    xx

    + = . We write2

    2lim ( 1) 5

    xx

    +

    + = .

    Since2 2

    2 2lim( 1) lim ( 1) 5

    x xx x

    +

    + = + = , the limit of2

    1x + as 2x exists and is given by

    the value 5. We write2

    2lim( 1) 5x

    x

    + = .

    Definition: If lim f ( ) lim f ( ) x a x a

    x x k +

    = = , where k is real, then lim f ( )x a

    x k

    = .

    In the above example, we see that2 2

    2lim( 1) 5 2 1x

    x

    + = = + .

    Question: Is it always true that if lim f ( )x a x exists, then limf ( ) f ( )x a x a = ?

    Answer: No. Consider the following function1 if 0

    f( )2 if 0

    xx

    x

    =

    =.

    The graph of f is as shown on the right.

    Then0

    lim f ( )x

    x

    exists

    since0 0

    lim f ( ) lim f ( ) 1x x

    x x +

    = = .

    Hence,0

    limf ( ) 1x

    x

    = .

    But f(0) 2= .

    Hence, 0limf ( ) f (0)x x .

    Note: In fact, if the graph of f is continuous at x a= , then lim f ( ) f ( )x a

    x a

    = .

    Example: The graph of2 1y x= + is continuous at 2x = , so

    2 2

    2lim( 1) 2 1 5x

    x

    + = + = .

    (Please refer to Appendix A on page 14 for more information and results on Limits)

    y

    0 x

    1

    2

    Key in Y1 = X2 + 1 andGo To TBLSET and put

    TblStart = 1.993 and

    =

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    1.2 Derivative as a Limit

    Consider a curve with equation f ( )y x= .

    Let ( , f ( ))A x x and ( , f ( ))B x x x x + +

    be two points on the curve, where x isa small increment in x .

    Notice that the gradient of the curve atAcan be approximated by the gradient of

    the chordAB. The closerB is toA, thebetter is the approximation.

    Hence,

    Gradient of the curve atA = gradient of tangent to the curve atA

    limB A

    = (gradient of chordAB) (See Appendix B)

    limB A

    BC

    AC=

    0

    f ( ) f ( )limx

    x x x

    x

    +

    = (since 0 B A as x )

    0limx

    y

    x

    =

    d

    d

    y

    x= (by definition)

    Definition of derivative: If f ( )y x= , thend

    d

    y

    x=

    0

    f ( ) f ( )limx

    x x x

    x

    + .

    Example 1

    By considering the derivative as a limit, find ( )d

    2 ( 4)d

    x xx

    .

    Solution 1

    Let f ( ) 2 ( 4) y x x x= = .

    ( )( )d

    2 4d

    x xx

    =d

    d

    y

    x=

    0

    f ( ) f ( )limx

    x x x

    x

    + (by definition)

    ( )0

    2( ) 4 2 ( 4)limx

    x x x x x x

    x

    + + =

    ( )22 2

    0

    2( 4 4 ) 2 8limx

    x x x x x x x x x x

    x

    + + + +=

    ( )

    22 2

    02 4 8 2 8 2 8lim

    xx x x x x x x x

    x

    + + +=

    0

    (4 2 8)limx

    x x x

    x

    + =

    0(4 8 2 )lim

    xx x

    += (since 0x )

    4 8x= .

    0

    C

    y

    x

    ( ), f ( )A x x

    ( )( ), fB x x x x + +

    x

    yy = f(x)

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    GRAPHING CALCULATOR TASK 1

    Using a graphic calculator to find the gradient of f ( ) 2 ( 4) x x x= at the point on the graph

    where 5.2x = .

    Solution:Note: We know that the answer is 4(5.2) 8 12.8 = . (from Example 1)

    Method 1:

    In the Y= screen, enter the rule for the function as Y1 = 2X2 - 8X, and choose 6:Zstandard

    from the ZOOM menu.Choose 6:dy/dx from the CALC menu. Type 5.2 and press ENTER.

    Note: 1. Thepointonthecurveatwhichwewishtofindthegradientatmustbeinthewindow.

    2.The graphic calculator may not always give the correct gradient especially at sharppoints.

    Method 2:

    Alternatively, on the Home Screen, choose 8:nDeriv from MATH menu and press ENTER.

    Key in 2X28X, X, 5.2) and press ENTER.

    Note: The advantage of this method is that we do not need to know the shape of the graph.

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    2 BASIC RULES OF DIFFERENTIATION

    Let fand g be two functions ofx. The following are some basic rules of differentiation:

    (1) ( ) ( ) ( )d d d

    f ( ) g( ) f( ) g( )d d d

    x x x x x x x

    = .

    (2) ( ) ( ) ( )

    d d d

    f ( )g( ) g( ) f( ) f( ) g( )d d d x x x x x x x x x

    = +

    . (Product Rule)

    (3)

    ( ) ( )

    ( )2

    d dg( ) f( ) f( ) g( )

    d f ( ) d d

    d g( ) g( )

    x x x xx x x

    x x x

    =

    . (Quotient Rule)

    (4) Ifyisafunctionofuanduisafunctionofx,thend d d

    d d d

    y y u

    x u x= . (Chain Rule)

    Exercise: Use the chain rule to show thatd 1

    dd

    d

    y

    xx

    y

    = .

    Answer: The result follows sinced d d

    ( ) 1d d d

    y xy

    y x y= = (by chain rule).

    Note :d d

    ( )d d

    yy

    x x= and hence

    d

    d

    y

    xis not a fraction.

    3 DERIVATIVES OF STANDARD FUNCTIONS

    3.1 Power Functions

    y d

    d

    y

    x

    y d

    d

    y

    x

    k 0 kx k

    nkx

    1nnkx [f ( )]

    nk x

    1[f ( )] f '( )

    nnk x x

    Example 2 Differentiate (a)5 3( 1)x + ,(b) (2 3) 5x x and (c)

    2

    1

    3

    x

    x

    +

    with respect tox.

    Solution 2

    ( )( )

    ( )

    ( )

    35

    25 4

    24 5

    d1

    d

    3 1 (5 )

    15 1 .

    xx

    x x

    x x

    +

    = +

    = +

    (a)

    ( )( )

    ( )

    d2 3 5

    d

    12 3 2 52 5

    2 3 4( 5)

    2 5

    6 23.

    2 5

    x xx

    x xx

    x x

    x

    x

    x

    = +

    + =

    =

    (b)

    2

    2

    2 2

    2 2

    2 2

    2

    2 2

    d 1

    d 3

    ( 3)(1) ( 1)(2 )

    ( 3)

    3 2 2

    ( 3)

    2 3.

    ( 3)

    x

    x x

    x x x

    x

    x x x

    x

    x x

    x

    +

    +=

    =

    =

    (c)

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    3.2 Exponential and Logarithmic Functions

    y d

    d

    y

    x y

    d

    d

    y

    x

    ex ex ln x ,x > 01

    x

    f ( )e

    x

    f ( )f '( )e

    xx

    [ ]ln f ( )x ,

    f(x) > 0

    f '( )

    f ( )

    x

    x

    Example 3 Differentiate the following with respect tox.

    (a) ( )23 2

    e 1x x , (b) ( )ln ln x , 1>x , (c)1 + e

    2 + e

    x

    x

    ,

    (d)2

    ln 1x + , (e)2

    5log ( 1)x + (f)32x+

    Solution 3

    ( )( )

    ( )

    ( )( )

    2

    2 2

    2

    2

    3 2

    3 2 3

    3 2

    3 2

    de 1

    d

    e (2 ) 1 e (6 )

    2 e 1 3 1

    2 e (3 2).

    x

    x x

    x

    x

    xx

    x x x

    x x

    x x

    = +

    = +

    =

    (a)

    ( )( )d

    ln lnd

    1 1

    ln

    1

    ln

    xx

    x x

    x x

    =

    =

    (b)

    2

    2

    2

    d 1+e

    d 2+e

    (2+e )( e ) (1 e )(e )

    (2+e )

    2e 1 e 1

    (2+e )

    2e e 2.

    (2+e )

    x

    x

    x x x x

    x

    x x

    x

    x x

    x

    x

    +=

    =

    =

    (c)

    ( )

    ( )

    ( )

    2

    12 2

    2

    2 2

    dln 1

    d

    d ln 1d

    d 1ln 1

    d 2

    2.

    2( 1) 1

    xx

    xx

    xx

    x x

    x x

    +

    = +

    = +

    = =+ +

    (d)

    ( )252

    2

    dlog ( 1)

    d

    d ln( 1)d ln 5

    2.

    (ln 5)( 1)

    xx

    xx

    x

    x

    +

    +=

    =+

    (e)

    ( )

    ( )

    ( )

    3

    3

    ln 2

    ( +3)ln 2

    ( +3)ln 2

    3

    d2

    d

    d ed

    de

    d

    e (ln 2)

    (ln 2)2 .

    x

    x

    x

    x

    x

    x

    x

    x

    +

    +

    +

    =

    =

    =

    =

    (f)

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    3.3 Trigonometric Functions

    y d

    d

    y

    x y

    d

    d

    y

    x

    sinx cosx cosecx cosec cotx x

    cosx sin x secx sec tanx x tan x 2sec x cot x 2cosec x

    sin f ( )x f '( ) cos f ( )x x cosec f ( )x f '( ) cos ec f ( ) cot f ( ) x x x

    cos f ( )x f '( )sin f ( )x x sec f ( )x f '( )sec f ( ) tan f ( ) x x x

    tan f ( )x 2f '( )sec f ( )x x cot f ( )x 2

    f '( ) cos ec f ( )x x

    Note : 1. The above results hold forx measured in radians only.

    Ifx is measured in degrees, then covertxo

    to180

    xradians.

    2. The derivatives of secx can be found in the List of Formulae MF15.

    Exercise: Use the quotient rule to show that ( ) 2d

    tan secd

    x xx

    = .

    Answer: ( ) 2

    2 22

    2 2

    d d sin (cos )(cos ) (sin )( sin )tan

    d d cos cos

    cos sin 1sec . (shown)

    cos cos

    x x x x xx

    x x x x

    x xx

    x x

    = =

    += = =

    Example 4 Differentiate the following with respect tox.

    (a) tan2x , (b) 3cos sin2

    xx

    , (c)22+sec

    ex, (d) sin x .

    Solution 4

    ( )

    2

    2 2

    dtan2

    d

    d 2tan

    d 180

    2 2sec

    180 180

    sec or sec 2 .90 90 90

    xx

    x

    x

    x

    xx

    =

    =

    =

    (a)

    3

    3 2

    2

    d(cos sin )

    d 2

    1(cos )( cos ) (sin )(3cos )( sin )

    2 2 2

    1cos (cos cos 6sin sin ).

    2 2 2

    xx

    x

    x x x x x

    x x x x x

    = +

    =

    (b)

    ( )2

    2

    2

    (2 sec )

    (2 sec )

    (2 sec ) 2

    de

    d

    = e (2sec )(sec tan )

    = 2e sec tan .

    x

    x

    x

    x

    x x x

    x x

    +

    +

    +

    (c)

    ( )

    ( )

    dsin

    d

    1cos

    2

    1cos .

    2

    xx

    xx

    xx

    =

    =

    (d)

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    3.4 Inverse Trigonometric Functions

    y d

    d

    y

    x y

    d

    d

    y

    x

    1sin x

    2

    1, 1

    1

    x

    x

    .

    Solution 7

    2 3

    2

    2

    2

    2 3

    d d2 6 (1) 0

    d d

    d(6 ) 2

    d

    d 2.

    d 6

    x y xy

    y y x y x y

    x x

    y y x y x

    x

    y y x

    x y x

    + = +

    + = + +

    =

    =

    (a)

    2cos 3

    d d( sin ) cos 6

    d d

    dcos (6 sin )

    d

    d cos.

    d 6 sin

    x y y

    y y x y y y

    x x

    y y y x y

    x

    y y

    x y x y

    =

    + =

    = +

    =+

    (b)

    ( ) 2ln 2cos

    1 d d(1 ) 4cos ( sin )d d

    d 1 d 14 cos sin

    d d

    d d4( )cos sin 1

    d d

    d 1.

    d 1 4( )cos sin

    x y y

    y yy y x y x x

    y yy y

    x x y x x y

    y y x y y y

    x x

    y

    x x y y y

    + =

    + = +

    + = + +

    + + =

    = + +

    (c)

    sin

    sin

    sin sin

    sin

    sin

    e 2

    d de (1 cos )d d

    de (1 e cos )

    d

    d e.

    d 1 e cos

    x y

    x y

    x y x y

    x y

    x y

    y

    y yyx x

    yy

    x

    y

    x y

    +

    +

    + +

    +

    +

    = +

    + =

    =

    =

    (d)

    , 0

    ln ln

    1 d 1( ) ln

    d

    d(1 ln ) (1 ln ).

    d

    x

    x

    y x x

    y x x

    yx x

    y x x

    y y x x x

    x

    = >

    =

    = +

    = + = +

    (e)

    ln

    ln

    Alternatively,

    , 0

    e

    d 1e [ ( ) ln ]

    d

    d(1 ln ).

    d

    x

    x x

    x x

    x

    y x x

    y

    yx x

    x x

    yx x

    x

    = >

    =

    = +

    = +

    (e)

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    6 PARAMETRIC DIFFERENTIATION

    6.1 Parametric Equations

    The coordinates of a point ( , )x y on a curve can usually be expressed in terms of a

    third independent variable t, which is called a parameter.

    In other words, we can often describe a curve by the equations: f ( )x t= , g( )y t= ,

    where t . Such equations are called parametric equations.

    Consider the curve described by the parametric equations: 2x t= and2

    y t= , t .

    Weseethatthecoordinatesof thepointsonthiscurvecanbeexpressedas2

    (2 , )t t ,

    t and different values of t correspond to different points on the curve.

    For example, 1t= corresponds to the point (2,1) on the curve.

    If it is possible to eliminate t, then we can obtain the cartesian equation of the curve,which is an equation involving x and y only.

    In this case, the cartesian equation is

    2

    21=

    2 4

    xy x

    =

    .

    6.2 Differentiation of Parametric Equations

    If f ( )x t= and g( )y t= , where t , then by chain rule,

    d

    d

    y

    x=

    d

    d

    y

    t

    d

    d

    t

    x=

    d d

    d d

    y x

    t t.

    Example 8 Findd

    d

    y

    xfor each of the following parametric equations.

    (a)

    21

    ,1 1

    tx y

    t t= =

    + +, (b) sin 2 , cos 4x y = = , (c)

    1ln , sin x t y t

    = = .

    Solution 8

    (a)2

    2 2 2

    2 2

    1 d 1

    1 d (1 )

    d (1 )(2 ) (1) 2=

    1 d (1 ) (1 )

    .

    .

    xx

    t t t

    t y t t t t t y

    t t t t

    = = + +

    + += =

    + + +

    22

    2

    d d d

    d d d

    2= [ (1 ) = (2 ).

    (1 )]

    y y t

    x t x

    t tt t t

    t

    =

    + + +

    +

    (b)d

    sin 2 2 cos 2 .d

    dcos 4 4 sin 4 .

    d

    xx

    yy

    = =

    = =

    d d d 4 sin 4

    d d d 2 cos 2

    2(2 sin 2 cos 2 )4sin 2 .cos 2

    y y

    x x

    = =

    = =

    (c)

    1

    2

    d 1ln

    d

    d 1sin

    d

    .

    .1

    xx t

    t t

    yy

    tt

    t

    = =

    = =

    2

    d d d=

    d d d.

    1

    y y t

    x t x

    t

    t=

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    GRAPHING CALCULATOR TASK 2

    In Example 8(a), use a graphic calculator to find the gradient of the curve at the point where

    3t= .

    Change the mode to PAR(i.e. the parametric mode). In the Y= screen, enter the functions.

    Set the Window to be:

    and press Graph.

    Press 2nd [calc] and select 2:dy/dx.

    Type 3 and press Enter.

    Example 9

    A curve has parametric equations1

    2x tt

    = ,4

    y tt

    = + , 0.t

    Show that2

    d 1 91

    d 2 2 1

    y

    x t=

    +

    .

    Deduce thatd 1

    d 2

    y

    x< for all real values of texcept 0.

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    The calculus was the first achievement of modern mathematics and it is difficult tooverestimate its importance. I think it defines more unequivocally than anything else theinception of modern mathematics; and the system of mathematical analysis, which is itslogical development, still constitutes the greatest technical advance in exact thinking.

    John von Neumann (1903 1957) - one of the great mathematicians of the century

    CHECKLIST

    At the end of this chapter, you should know:

    the derivatived

    d

    y

    xcan be interpreted as the gradient of a curve;

    the idea of a limit and find the derivatives of2

    x ,x

    1, xsin and ex ;

    how to find and use the first derivative of a simple function defined implicitly orparametrically.

    At the end of this chapter, you should be able to:

    use a graphing calculator to evaluate the derivative at given points.

    use a graphing calculator to verify or determine limits such asx

    x

    x

    sinlim

    0and

    0

    e 1lim

    x

    x x

    (to be done in Tutorial).

    find and use the first derivative of a simple function defined implicitly or parametrically.

    Appendix A Limits (For Your Information)

    Useful Results

    1. limx a

    c c

    = , where c is a constant.

    2. lim n nx a

    x a

    = for n +Z .

    3. ( )lim f f ( )x a

    x a

    = if f ( )x is a polynomial.

    Theorems on Limits

    1. ( )( ) ( )lim f limf x a x a

    c x c x

    = , where c is a constant.

    2. ( ) ( )( ) ( ) ( )lim f g lim f limg x a x a x a

    x x x x

    = .

    3. ( ) ( )( ) ( ) ( )lim f g limf lim g x a x a x a

    x x x x

    = .

    4.( ) ( )limff

    limg( ) lim g( )

    x a

    x a

    x a

    xx

    x x

    = , provided ( )limg 0x a

    x

    .

    Useful Results for Limits Involving Infinity

    1.1

    lim 0nx x

    = , .n+

    R 2.1

    lim 0nx x

    = , .n+

    R

  • 8/3/2019 Chapter 8A Full Version - Differentiation Techniques

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    Raffles Junior College H2 Mathematics (9740) JC1 2008______________________________________________

    ______________________________________________________Chapter 8A: Differentiation I Techniques of Differentiation & Limits

    Page 15 of 15

    APPENDIX B GRAPHING CALCULATOR TASK 0 (In Teachers' Copy only)

    To illustrate the limiting process of a secant line approaching the tangent to a curve.

    1. Activate the Transfrm Apps

    2. Key in Y1 = X2.

    3. The equation of the secant line through 2 points (A, Y1(A)) and (B, Y1(B)) isY2 = ((Y1(A) Y1(B))/(A-B))(X A) + Y1(A).

    4. Key in Y3 = { }1 2Y , Y , this is the active equation for the Transfrm Apps.

    5. Set the WINDOW and SETTINGS

    6. Press the Graph key to see the animationQuestion: What is the line that the family of secants is approaching?