Differentiation Integration

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    HANDOUT M.2 - DIFFERENTIATION AND INTEGRATION

    Section 1: Differentiation

    Definition of derivative

    A derivative )(xf of a functionf(x) depicts how the functionf(x) is changing at the point

    x. It is necessary for the function to be continuous at the point x for the derivative to

    exist. A function that has a derivative is said to be differentiable. In general, the

    derivative of the function y =f(x), also denoted dy/dx, can be defined as

    x

    xfxxf

    dx

    xdf

    dx

    dy

    x

    +==

    )()(lim

    )(

    0

    This means that as x gets very small, the difference between the value of the function atx and the value of the function at x + x divided by x is defined as the derivative.

    Derivatives of some common functions

    xxdx

    d

    xxdx

    d

    aeedx

    d

    xxdx

    d

    nxxdx

    d

    ttdt

    d

    xdx

    d

    axax

    nn

    sin)(cos

    cos)(sin

    )(

    1)(log

    )(

    2)(

    1)(

    1

    2

    =

    =

    =

    =

    =

    =

    =

    General rules of differentiation

    1. The derivative of a constant is equal to zero. If y = c,

    0)( == cdx

    d

    dx

    dy

    where c is any arbitrary constant.

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    2. The derivative of the product of a constant and a function is equal to the constant

    times the derivative of the function. If y = cf(x)

    dx

    dfcxcf

    dx

    d

    dx

    dy== ))((

    Example 1

    If y = 8x, then

    8)1(8)(8)8( ==== xdx

    dx

    dx

    d

    dx

    dy

    3. The derivative of the sum or difference of two functions is equal to the sum or

    difference of the derivatives of the functions. If y =f(x) g(x)

    ))(())(())()(( xgdx

    dxfdx

    dxgxfdx

    d

    dx

    dy ==

    Example 2

    If y = 8x-x2, then

    xxdx

    dx

    dx

    dxx

    dx

    d

    dx

    dy28)()8()8( 22 ===

    4.

    Product ruleThe derivative of the product of two functions is equal to the firstfunction times the derivative of the second, plus the second function times the

    derivative of the first. If y = f(x)g(x)

    ))(()())(()())()(( xfdx

    dxgxg

    dx

    dxfxgxf

    dx

    d

    dx

    dy+==

    Example 3

    If y = xex, then

    xxxxxxx exeexexdxdee

    dxdxxe

    dxd

    dxdy +=+=+== )1()()()(

    Example 4

    If y = x2sin(x), then

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    ))(()(

    ))(()(

    ))(()(

    ))(()(

    )(

    )()(

    3

    3

    2

    2

    xfdx

    dxfy

    xfdx

    dxfy

    xf

    dx

    dxfy

    xfdx

    dxfy

    xfy

    n

    nnn ==

    ==

    ==

    ==

    =

    Example 7

    If 5xy= then,

    0)120()(

    120)120()(

    120)60()(

    60)20()(

    20)5()(

    5

    5

    5

    6

    6

    4

    4

    5

    5

    2

    3

    3

    4

    4

    23

    2

    2

    3

    3

    34

    2

    2

    4

    ===

    ===

    ===

    ===

    ===

    =

    dx

    d

    dx

    yd

    dx

    d

    dx

    yd

    xdx

    d

    dx

    yd

    dx

    d

    dx

    yd

    xxdxd

    dxyd

    dxd

    dxyd

    xxdx

    d

    dx

    yd

    dx

    d

    dx

    yd

    xxdx

    d

    dx

    dy

    dx

    d

    dx

    yd

    xdx

    dy

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    Partial differentiation

    A partial derivative is the derivative with respect to one variable of a multivariablefunction, assuming all other variables to be constants. For example if y = f(x,y), is a

    function depending on two variables x and y, then the partial derivative of f with

    respect to x is obtained by assuming the variable y to be a constant and taking thederivative of f with respect to x. This is represented as ),( yxf

    x

    .

    Example 8

    If y = xsin(t), then

    txx

    ttxxx

    ysin)(sin))sin(( =

    =

    =

    In this example, since the partial derivative with respect to the variable x is required, the

    variable t is assumed to be a constant and the derivative with respect to x is obtainedby following the general rules of differentiation.

    Example 9

    If z = x2y

    3, then

    22223232 3)3()()( yxyxyy

    xyxyy

    z==

    =

    =

    General rules of partial differentiation

    If the function z is dependent on two variables x and y, i.e., if z =f(x,y), then

    )(

    )(

    )(

    )(

    2

    2

    2

    2

    2

    2

    x

    z

    yxy

    z

    y

    z

    xyx

    z

    y

    z

    yy

    z

    x

    z

    xx

    z

    =

    =

    =

    =

    If z =f(x,y) and x = h(t), y = g(t), then the total derivative of z with respect to tis given by

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    dt

    dy

    y

    f

    dt

    dx

    x

    fyxf

    dt

    d

    dt

    dz

    +

    == )),((

    Example 10

    If z = xy and x = cos(t) , y = sin(t), then

    txtytxty

    tdt

    dxy

    yt

    dt

    dxy

    xdt

    dy

    y

    z

    dt

    dx

    x

    zz

    dt

    d

    dt

    dz

    cossin)(cos)sin(

    )(sin)()(cos)()(

    +=+=

    +

    =

    +

    ==

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    Section 2: Integration

    Introduction

    The basic principle of integration is to reverse differentiation. An integral is sometimes

    referred to as antiderivative.

    Definition:Any function F is said to be an antiderivative of another function, f if and

    only if it satisfies the following relation:

    fF='

    where

    Fofderivative'=F

    Note that, the definition does not say the antiderivative, it says an antiderivative. This isbecause for any given function f, if there are any antiderivatives, then there are

    infinitely many antiderivatives. This is further explained with the help of the followingexample.

    Example 11

    For the functionf(x) = 3x2, the functionsF(x) =x

    3, G(x) =x

    3+ 15, andH(x) =x

    3- 38 are

    all antiderivatives off. In fact, in order to be an antiderivative of f, all that is required is

    that the function be of the form K(x) = x3+ C, where C is any real number. This is so

    because the derivative of a constant function is always zero, so the differentiation process

    eliminates the C.

    )(3)('

    )(3)('

    )(3)('

    2

    2

    2

    xfxxH

    xfxxG

    xfxxF

    ==

    ==

    ==

    Although integration has been introduced as an antiderivative, the symbol for integration

    is . So to integrate a functionf(x), you write

    dxxf )(

    It is very essential to include the dx as this tells someone the variable of integration.

    Definition:The expression f(x) dx=F(x) + C, where Cis any real number, means thatF(x) is an antiderivative off(x). This expression represents the indefinite integral of f(x).

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    The C in the above definition is called the constant of integrationand is absolutely vital

    to indefinite integration. If it is omitted, then you only find one of the infinitely many

    antiderivatives.

    Some properties of indefinite integrals

    = dxxgdxxfdxxgxf )()())()((

    constantrealanyiscwhere)()( = dxxfcdxxcf

    Some of the common integration formulae

    cxxdx

    cxxdx

    cxdxx

    cn

    xdxx

    cx

    dxx

    cx

    xdx

    cdx

    nn

    +=

    +=

    +=

    ++

    =

    +=

    +=

    =

    +

    sincos

    cossin

    ln1

    1

    3

    2

    0

    1

    32

    2

    The constant c can be found if some more information about the antiderivative is given.

    This is explained with the aid of the following example.

    Example 12

    Find the function whose derivative is 13)( 2 += xxf and which passes through the point

    (2,5).

    In other words, the function f has to be integrated with respect to x. So

    cxxxF

    dxdxxdxxdxxfxF

    ++=

    +=+== 3

    22

    )(

    13)13()()(

    It is given that, the function F(x) passes through the point (2,5), i.e., when x = 2, F(2) = 5.

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    5

    105

    102)2()2()( 3

    =

    +=

    +=++==

    c

    c

    ccFxF

    Therefore the function F(x) is given by

    5)( 3 += xxxF .

    Definite integration

    This is very much similar to the indefinite integration, except that the limits of integration

    are specified. Since the limits are specified, there is no need to put the constant ofintegration. In other words

    )()()()( aFbFxFdxxf b

    a

    b

    a

    ==

    Example 13

    Evaluate the following integral

    2

    1

    xdx .

    2

    3

    2

    122

    )1(

    2

    )2(

    2

    222

    1

    22

    1====

    xxdx

    Example 14

    40

    }015{}025{

    )}0(3)5(3{})0()5{(

    332)32(

    22

    5

    0

    5

    0

    2

    5

    0

    5

    0

    5

    0

    =

    +=

    +=

    +=+=+=

    I

    I

    I

    xxdxxdxdxxI

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    Integration by parts

    Formulae

    If u =f(x) and v = g(x) and iff and g are continuous, then

    = vduuvudv (1)

    For definite integrals

    [ ] =b

    a

    b

    a

    b

    a

    dxxfxgxgxfdxxgxf )(')()()()(')(

    The following example illustrates how the integration-by-parts formula works.

    Example 15

    Evaluate the integral

    = dxxeI x

    Let u = x and dv = exdx (2)

    So

    du = 1 and v = ex

    (3)

    Since

    xx edxedvv ===

    Thus substituting equations (2) and (3) in equation (1), we have

    cexeI

    cdxexedxxe

    xx

    xxx

    +=

    += )1(

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    Example 16

    Find xdxex cos

    Let

    xvedu

    xdxdveu

    x

    x

    sin,

    so

    cos,

    ==

    ==

    Substituting the above relation in equation (1), we get

    cxdxexexdxe xxx += sinsincos . (4)

    Consider again the integral xdxex sin . Let

    xvedu

    xdxdveu

    x

    x

    cos,

    so

    sin,

    ==

    ==

    Then we have

    cxdxexexdxe

    cdxxexexdxe

    xxx

    xxx

    ++=

    +=

    coscossin

    )cos(cossin (5)

    Substituting the second equation of equation (5) in equation (4), we get

    ++=

    ++=

    ++=

    cxxexdxe

    cxxexdxe

    cxdxexexexdxe

    xx

    xx

    xxxx

    )cos(sin2

    1

    cos

    )cos(sincos2

    )coscos(sincos

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    Leibniz rule

    The fundamental theorem of integral calculus states that if fis a continuous function onthe closed interval [a, b], then

    )()( tfdxxfdtd

    t

    a

    =

    for bta

    The Leibniz rule can be derived from the above fundamental theorem of calculus.If

    =)(

    )(

    ),()(

    tb

    ta

    dxtxftI (6)

    The final relation, which outlines the Leibniz rule is given by

    )),(())(()),(())((),(),())((

    )(

    )(

    )(

    )(

    ttaftadt

    dttbftb

    dt

    ddxtxf

    tdxtxf

    dt

    dtI

    dt

    d tb

    ta

    tb

    ta

    +

    == (7)

    This rule is useful when one needs to find the derivative of an integral without actually

    evaluating the integral. The rule is further explained with the aid of the following

    example.

    Example 17

    Given

    =

    2

    )cos()( 2t

    t

    dxtxtI

    Evaluate ))(( tIdt

    d.

    The Leibniz rule can be applied to evaluate the derivative without actually evaluating the

    integral. Comparing the above integral with equation (6), we have

    )sin())(cos()),((

    )(

    )(

    )cos(),(

    222

    2

    2

    txxtxt

    txft

    ttb

    tta

    txtxf

    =

    =

    =

    =

    =

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    Substituting the above relations in equation (7), we get

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

    ]))()(cos[1(]))()(cos[2()sin())((

    3522

    22222

    2

    2

    tttdxtxxtIdtd

    tttttdxtxxtIdt

    d

    t

    t

    t

    t

    ++=

    +=

    LHospitals rule

    LHospitals rule gives a way to evaluate limits of the form)(

    )(lim

    xg

    xf

    axif the numerator and

    denominator both tend to zero, that is, 0)(lim)(lim ==

    xgxfaxax

    . The rule states that if the

    numerator and the denominator both tend to zero, then the limit of the quotient )(

    )(

    xg

    xf

    is

    equal to the limit of the quotient of the derivatives)(

    )(

    xg

    xf

    . In other words

    )(

    )(lim

    )(

    )(lim

    xg

    xf

    xg

    xf

    axax

    =

    Example 18

    Evaluate

    x

    x

    x

    sinlim

    0.

    It can be seen that both the numerator and the denominator tend to zero, as x tends to

    zero. Therefore applying the LHospitals rule, we have

    11

    1

    1

    coslim

    ))((

    ))(sin(

    limsin

    lim000

    ====

    x

    xdx

    d

    xdx

    d

    x

    x

    xxx

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    Assignment

    1) Calculate the derivatives of the following functions with respect to x.

    xxyc

    x

    xyb

    xya

    sin)

    32

    5)

    42)

    2

    3

    =

    +

    +=

    =

    2) Calculate the partial derivatives,dt

    y

    x

    y

    and for the following functions.

    ttxtxyb

    txya

    cossintan)

    sin)

    63

    22

    +=

    =

    3) Calculate the following indefinite integrals analytically and verify the result UsingMATLAB.

    xdxxc

    xdxxb

    dxxa

    tan)

    sin)

    cos)

    2

    2

    4)Evaluate the following definite integrals and verify the result using MATLAB.

    ++++

    2

    0

    2

    1

    234

    sin)

    )9657()

    xdxb

    dxxxxxa

    5) Evaluate the derivative with respect to time of the following integral by means of

    Leibniz rule.

    =2

    0

    2 )sin()()t

    dxtxtIa

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    6) Evaluate the following limits:

    )sin(

    )sin(lim)

    1

    1

    lim)

    sin

    2lim)

    2

    3

    0

    21

    2

    0

    x

    xc

    x

    x

    b

    x

    xxa

    x

    x

    x

    +

    +

    NOTE:This handout is not a comprehensive tutorial for differentiation and integration.This just deals with the very basics of differentiation and integration. It is advisable

    always to go through some MATH book for various other techniques of performing

    differentiation and integration.