9) C2 Differentiation

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    Introduction

    We have seen Differentiation in C1

    In C2 we will be looking at solving moretypes of problem

    We are also going to be applying theprocess to worded practical problems

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    Differentiation

    You need to know thedifference between Increasing

    and Decreasing Functions

    An increasing function is one with a

    positive gradient.

    A decreasing function is one with anegative gradient.

    9A

    x

    x

    y

    y

    This functionis increasingfor all values

    of x

    This functionis decreasingfor all values

    of x

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    Differentiation

    You need to know thedifference between Increasing

    and Decreasing Functions

    An increasing function is one with a

    positive gradient.

    A decreasing function is one with anegative gradient.

    Some functions are increasing in one

    interval and decreasing in another.

    9A

    x

    y

    This function isdecreasing for x > 0,

    and increasing for x < 0

    At x = 0, the gradient is0. This is known as a

    stationary point.

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    Differentiation

    You need to know thedifference between Increasing

    and Decreasing Functions

    An increasing function is one with a

    positive gradient.

    A decreasing function is one with anegative gradient.

    Some functions are increasing in one

    interval and decreasing in another.

    You need to be able to work outranges of values where a function is

    increasing or decreasing..

    9A

    Example Question

    Show that the function ;3( ) 24 3f x x x

    is an increasing function.

    3( ) 24 3f x x x

    2'( ) 3f x x 24

    Differentiate toget the gradient

    function

    Since x2has to be positive, 3x2+ 24will be as well

    So the gradient will always bepositive, hence an increasing function

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    Differentiation

    You need to know thedifference between Increasing

    and Decreasing Functions

    An increasing function is one with a

    positive gradient.

    A decreasing function is one with anegative gradient.

    Some functions are increasing in one

    interval and decreasing in another.

    You need to be able to work outranges of values where a function is

    increasing or decreasing..

    9A

    Example Question

    Find the range of values where:3 2( ) 3 9f x x x x

    is an decreasing function.

    3 2( ) 3 9f x x x x

    2'( ) 3f x x 6x 923 6 9 0x x

    23( 2 3) 0x x

    3( 3)( 1) 0x x

    1x 3x OR

    3 1x

    Differentiate for thegradient function

    We want the gradientto be below 0

    Factorise

    Factorise again

    Normally x = -3 and1

    BUT, we want valuesthat will make the

    function negative

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    Differentiation

    You need to know thedifference between Increasing

    and Decreasing Functions

    9A

    Example Question

    Find the range of values where:3 2( ) 3 9f x x x x

    is an decreasing function.

    3 2( ) 3 9f x x x x

    2'( ) 3f x x 6x 923 6 9 0x x

    23( 2 3) 0x x

    3( 3)( 1) 0x x

    1x 3x OR

    3 1x

    Differentiate for thegradient function

    We want the gradientto be below 0

    Factorise

    Factorise again

    Normally x = -3 and1

    BUT, we want valuesthat will make the

    function negative

    x

    y

    -3 1

    Decreasing Function range

    f(x)

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    Differentiation

    You need to be able to calculatethe co-ordinates of Stationary

    points, and determine their nature

    A point where f(x) stops increasing and

    starts decreasing is called a maximumpoint

    A point where f(x) stops decreasing andstarts increasing is called a minimum point

    A point of inflexion is where the gradientis locally a maximum or minimum (the

    gradient does not have to change frompositive to negative, for example)

    These are all known as turning points, and

    occur where f(x) = 0 (for now at least!)9B

    y

    x

    Localmaximum

    Local

    minimum

    Point ofinflexion

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    Differentiation

    You need to be able to calculatethe co-ordinates of Stationary

    points, and determine their nature

    To find the coordinates of these points,

    you need to:

    1) Differentiate f(x) to get the GradientFunction

    2) Solve f(x) by setting it equal to 0 (as

    this represents the gradient being 0)

    3) Substitute the value(s) of x into theoriginal equation to find thecorresponding y-coordinate

    9B

    y

    x

    Localmaximum

    Local

    minimum

    Point ofinflexion

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    Differentiation

    You need to be able to calculatethe co-ordinates of Stationary

    points, and determine their nature

    To find the coordinates of these points,

    you need to:

    1) Differentiate f(x) to get the GradientFunction

    2) Solve f(x) by setting it equal to 0 (as

    this represents the gradient being 0)

    3) Substitute the value(s) of x into theoriginal equation to find thecorresponding y-coordinate

    9B

    Example Question

    Find the coordinates of the turning point on thecurve y = x432x, and state whether it is a

    minimum or maximum.

    4

    32y x x 34 32

    dyx

    dx

    34 32 0x

    34 32x 2x

    4 32y x x 4(2) 32(2)y

    48y

    Differentiate

    Set equal to 0

    Add 32

    Divide by 4, then cube root

    Sub 2 into the originalequation

    Work out the y-coordinate

    The stationary point is at(2, -48)

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    Differentiation

    You need to be able to calculatethe co-ordinates of Stationary

    points, and determine their nature

    To find the coordinates of these points, you

    need to:

    1) Differentiate f(x) to get the GradientFunction

    2) Solve f(x) by setting it equal to 0 (as thisrepresents the gradient being 0)

    3) Substitute the value(s) of x into the originalequation to find the corresponding y-coordinate

    4) To determine whether the point is a minimumor a maximum, you need to work out f(x)

    (differentiate again!)

    9B

    Example Question

    Find the coordinates of the turning point on thecurve y = x432x, and state whether it is a

    minimum or maximum.

    4

    32y x x 34 32

    dyx

    dx

    The stationarypoint is at (2, -48)

    22

    2 12

    d yx

    dx

    212x

    212(2)

    48

    Differentiate again

    Sub in the xcoordinate

    Positive = Minimum

    Negative = Maximum

    So the stationary

    point is a MINIMUMin this case!

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    Differentiation

    You need to be able to calculatethe co-ordinates of Stationary

    points, and determine their nature

    To find the coordinates of these points, you

    need to:

    1) Differentiate f(x) to get the GradientFunction

    2) Solve f(x) by setting it equal to 0 (as thisrepresents the gradient being 0)

    3) Substitute the value(s) of x into the originalequation to find the corresponding y-coordinate

    4) To determine whether the point is a minimumor a maximum, you need to work out f(x)

    (differentiate again!)

    9B

    Example Question

    Find the stationary points on the curve:y = 2x315x2+ 24x + 6, and state whether they

    are minima, maxima or points of inflexion

    3 2

    2 15 24 6y x x x 2'( ) 6f x x 30x 24

    26 30 24 0x x

    26( 5 4) 0x x

    6( 4)( 1) 0x x

    4x 1x OR

    Substituting into the original formula will givethe following coordinates as stationary points:

    (1, 17) and (4, -10)

    Differentiate

    Set equal to 0

    Factorise

    Factorise again

    Write thesolutions

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    Differentiation

    You need to be able to calculatethe co-ordinates of Stationary

    points, and determine their nature

    To find the coordinates of these points, you

    need to:

    1) Differentiate f(x) to get the GradientFunction

    2) Solve f(x) by setting it equal to 0 (as thisrepresents the gradient being 0)

    3) Substitute the value(s) of x into the originalequation to find the corresponding y-coordinate

    4) To determine whether the point is a minimumor a maximum, you need to work out f(x)

    (differentiate again!)

    9B

    Example Question

    Find the stationary points on the curve:y = 2x315x2+ 24x + 6, and state whether they

    are minima, maxima or points of inflexion

    3 2

    2 15 24 6y x x x 2'( ) 6f x x 30x 24

    Stationary points at:(1, 17) and (4, -10)

    Differentiateagain

    ''( ) 12 30f x x

    ''( ) 12 30f x x

    ''(1) 12(1) 30f

    ''( ) 12 30f x x

    ''(4) 12(4) 30f

    ''(1) 18f ''(4) 18f

    Sub in x = 1 Sub in x = 4

    So (1,17) is

    a MaximumSo (4,-10) is

    a Minimum

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    Differentiation

    You need to be able to calculatethe co-ordinates of Stationary

    points, and determine their nature

    To find the coordinates of these points, youneed to:

    1) Differentiate f(x) to get the GradientFunction

    2) Solve f(x) by setting it equal to 0 (as thisrepresents the gradient being 0)

    3) Substitute the value(s) of x into the originalequation to find the corresponding y-coordinate

    4) To determine whether the point is a minimumor a maximum, you need to work out f(x)

    (differentiate again!)

    9B

    Example Question

    Find the maximum possible value for y in theformula y = 6x x2. State the range of the

    function.

    2

    6y x x

    6 2dy

    xdx

    6 2 0x

    3x

    26y x x 26(3) (3)y

    9y

    9y

    Differentiate

    Set equal to 0

    Solve

    Sub x into theoriginal equation

    Solve

    9 is the maximum, so the range

    is less than but including 9

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    Differentiation

    You need to be able to recognisepractical problems that can be solved by

    using the idea of maxima and minima

    Whenever you see a question asking aboutthe maximum value or minimum value of aquantity, you will most likely need to use

    differentiation at some point.

    Most questions will involve creating aformula, for example for Volume or Area,and then calculating the maximum value of

    it.

    A practical application would be If I havea certain amount of material to make abox, how can I make the one with the

    largest volume? (maximum)

    9C

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    Differentiation

    You need to be able to recognisepractical problems that can be solved by

    using the idea of maxima and minima

    9C

    Example Question

    A large tank (shown) is to be made from 54m2ofsheet metal. It has no top.

    Show that the Volume of the tank will be givenby:

    32183

    V x x xx

    y

    2

    V x y Formula for the Volume

    22 3SA x xy

    1) Try to make formulae using theinformation you have

    Formula for theSurface Area (no

    top)

    254 2 3x xy

    2) Find a way to remove a constant, in thiscase y. We can rewrite the Surface Areaformula in terms of y.

    254 2 3x xy 254 2 3x xy

    254 2

    3

    xy

    x

    3) Substitute the SA formula into theVolume formula, to replace y.

    22 54 2

    3

    xV x

    x

    2V x y

    2 454 2

    3

    x x

    V x

    2 4

    54 23 3

    x xVx x

    32183

    V x x

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    Differentiation

    You need to be able to recognisepractical problems that can be solved by

    using the idea of maxima and minima

    9C

    Example Question

    A large tank (shown) is to be made from 54m2ofsheet metal. It has no top.

    Show that the Volume of the tank will be givenby:

    32

    18 3V x x xx

    y

    b) Calculate the values of x that will givethe largest volume possible, and what this

    Volume is.

    32183

    V x x

    218 2dV

    xdx

    218 2 0x

    218 2x

    3x

    254 2 3x xy

    32183

    V x x

    32

    18(3) (3)3V 336V m

    Differentiate

    Set equal to 0

    Rearrange

    Solve

    Sub the x value in

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    Differentiation

    You need to be able to recognisepractical problems that can be solved by

    using the idea of maxima and minima

    9C

    Example Question

    A wire of length 2m is bent into the shapeshown, made up of a Rectangle and a Semi-circle.

    x

    y

    y a) Find an expressionfor y in terms of x.

    1) Find the length of the semi-circle,as this makes up part of the length.

    2 2y x 2

    xx2

    2 22

    xx y

    12 4

    x x y

    Rearrangeto get y

    alone

    Divide by 2

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    Differentiation

    You need to be able to recognisepractical problems that can be solved by

    using the idea of maxima and minima

    9C

    Example Question

    A wire of length 2m is bent into the shapeshown, made up of a Rectangle and a Semi-circle.

    x

    y

    y a) Find an expressionfor y in terms of x.

    1) Work out the areas of theRectangle and Semi-circle separately.

    b) Show that the Area is:

    (8 4 )8

    xA x x

    xy

    2

    2

    2

    x

    Rectangle Semi Circle

    2 2r

    2

    24

    x

    2

    8

    x

    1

    2 4

    x xy

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    Differentiation

    You need to be able to recognisepractical problems that can be solved by

    using the idea of maxima and minima

    9C

    Example Question

    A wire of length 2m is bent into the shapeshown, made up of a Rectangle and a Semi-circle.

    x

    y

    y a) Find an expressionfor y in terms of x.

    1) Work out the areas of theRectangle and Semi-circle separately.

    b) Show that the Area is:

    (8 4 )8

    xA x x

    xy

    Rectangle Semi Circle2

    8

    x

    1

    2 4

    x xy

    A xy2

    8

    x

    A 12 4

    x xx

    2

    8

    x

    A

    2 2

    2 4

    x x

    x

    2

    8

    x

    A 2 2

    2 8

    x xx

    (8 4 )8

    xA x x

    Replacey

    ExpandFactorise

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    Differentiation

    You need to be able to recognisepractical problems that can be solved by

    using the idea of maxima and minima

    9C

    Example Question

    A wire of length 2m is bent into the shapeshown, made up of a Rectangle and a Semi-circle.

    x

    y

    y a) Find an expressionfor y in terms of x.

    1) Use the formula we have for theArea

    b) Show that the Area is:

    (8 4 )8

    xA x x

    1

    2 4

    x xy

    c) Find the maximum

    possible Area

    (8 4 )8

    xA x x

    2 2

    2 8

    x xA x

    14

    dA xxdx

    21 0

    8

    xx

    8 8 2 0x x

    4 4 0x x

    4 4x x

    4 4x

    0.56 x20.28A m

    Expand

    Differentiate

    Set equal to 0

    Multiply by 8

    Divide by 2

    Factorise

    Divide by (4 + )

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    Summary

    We have expanded our knowledge ofDifferentiation to include stationarypoints

    We have looked at using maxima andminima to solve more practical problems