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    IB Math AASL
    /
    Differentiation
    /

    Skills

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    Differentiation

    Skill Checklist

    Track your progress across all skills in your objective. Mark your confidence level and identify areas to focus on.

    27 Skills Available

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    📖 = included in formula booklet • 🚫 = not in formula booklet

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    Limits and Derivatives

    9 skills
    Derivative of xⁿ where n is an integer
    SL 5.3
    f(x)=xn, n∈Z⇒f′(x)=nxn−1📖
    Watch video explanation →
    Derivatives of sums and scalar multiples
    SL 5.3
    dxd​(af(x))=af′(x)🚫
    dxd​(f(x)+g(x))=f′(x)+g′(x)🚫
    dxd​(af(x)+bg(x))=af′(x)+bg′(x)🚫
    Watch video explanation →
    Rate of Change
    SL 5.1

    dxdy​ is the rate of change of y with respect to x. That is, dxdy​ tells us how much y changes in response to a change in x.


    If y=f(x), then dxdy​=f′(x).

    Watch video explanation →
    Slope as a Limit
    SL 5.1

    The IB may test your understanding of the gradient of the curve as the limit of

    m=x2​−x1​y2​−y1​​

    as (x2​−x1​) goes to zero.


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    Gradient
    SL 5.1

    For a curve y=f(x), f′(x) is the gradient or slope.

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    Graphing a derivative with a GDC
    SL 5.1

    You can graph f′(x) using the following steps:

    • Press the Y= key.

    • In one of the available function lines (e.g. Y_1), enter the expression for f(x).

    • In another available line (e.g. Y_2), input the derivative function usingMATH then 8:nDeriv( in the following format:

      dXd​(Y1​(x))∣X=X​


    • To enter Y1​, press VARS then scroll to Y-VARS and select FUNCTION then Y1​.

    • Press GRAPH to display both the original graph f and the derivative f′.

    • The graph of f′ may take a little bit longer depending on the original function.

    After graphing f′, you may use all the other graphing functions on the calculator (intersect, zero, and value).

    Basic concept of a limit
    SL 5.1

    The limit x→alim​f(x) is the value f(x) approaches as x approaches a.

    Watch video explanation →
    Limit from a graph
    SL 5.1

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    x→1lim​f(x)=2
    x→∞lim​f(x)=23​
    x→−∞lim​f(x)=23​
    Watch video explanation →
    Limit from a table
    SL 5.1

    Given a table of values:

    xf(x)​0.91.62​0.991.9121​0.9991.9972201​……​


    x→1lim​f(x)=2
    Watch video explanation →

    Differentiation rules

    8 skills
    Derivative of xⁿ where n is rational
    SL 5.6
    f(x)=xn, n∈Q⇒f′(x)=nxn−1📖
    Watch video explanation →
    Derivative of e^x
    SL 5.6
    f(x)=ex⇒f′(x)=ex📖
    Watch video explanation →
    Derivatives of sin and cos
    SL 5.6
    f(x)=sinx⇒f′(x)=cosx📖
    g(x)=cosx⇒g′(x)=−sinx📖
    Watch video explanation →
    Product and Quotient rule
    SL 5.6

    The product and quotient rules are given by

    (uv)′=u′v+v′u📖
    (vu​)′=v2u′v−v′u​📖
    Watch video explanation →
    Derivative of ln
    SL 5.6
    f(x)=lnx⇒f′(x)=x1​📖
    Watch video explanation →
    Chain rule
    SL 5.6
    (g(f(x)))′=g′(f(x))⋅f′(x)🚫
    y=g(u) where u=f(x)
    dxdy​=dudg​⋅dxdu​📖
    Watch video explanation →
    Derivative of xⁿ where n is an integer
    SL 5.3
    f(x)=xn, n∈Z⇒f′(x)=nxn−1📖
    Watch video explanation →
    Derivatives of sums and scalar multiples
    SL 5.3
    dxd​(af(x))=af′(x)🚫
    dxd​(f(x)+g(x))=f′(x)+g′(x)🚫
    dxd​(af(x)+bg(x))=af′(x)+bg′(x)🚫
    Watch video explanation →

    Tangents and normals

    2 skills
    Tangent to f(x)
    SL 5.4

    L:mx+c is tangent to f(x) at x=a means

    same ysame y′​{f(a)=ma+cf′(a)=m​🚫

    Using point slope form the equation of the tangent is:

    y−f(a) ⇒y​=m⋅(x−a)🚫 =mx−ma+f(a)🚫​


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    Normal to f(x)
    SL 5.4

    The normal to f(x) at x=a is the line that passes through (a,f(a)) and is perpendicular to the tangent:

    mn​⋅mt​=−1⇔mn​  ​=−mt​1​🚫 =−f′(a)1​🚫​

    Using point slope form the equation of the tangent is:

    y−f(a) ⇒y​=mn​⋅(x−a)🚫 =mn​x−mn​a+f(a)🚫​

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    Applications of the First Derivative

    3 skills
    Maxima & Minima
    SL 5.7

    Stationary points are often local extrema.


    If f′(a)=0, f is decreasing to the left of a (f′(x)<0), and f is increasing to the right of a (f′(x)>0), then (a,f(a)) is a local minimum.


    If f′(a)=0, f is increasing to the left of a (f′(x)<0), and f is decreasing to the right of a (f′(x)>0), then (a,f(a)) is a local maximum.

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    Optimisation
    SL 5.8

    Optimisation problems require you to find a minimum or maximum value by producing a function f(x), taking its derivative, solving f′(x)=0, and confirming which stationary point(s) are minima or maxima.

    Stationary points & Increasing/Decreasing Regions
    SL 5.2
    f′(x)⎩⎪⎨⎪⎧​<0⇔f decreasing=0⇔f stationary>0⇔f increasing​🚫
    Watch video explanation →

    Second Derivatives and Applications

    5 skills
    Second Derivative
    SL 5.7

    The derivative of the derivative of a function is its second derivative:

    f′′(x)=(f′(x))′🚫
    dx2d2y​=dxd​(dxdy​)=y′′🚫
    Watch video explanation →
    Inflexion Points
    SL 5.7

    Inflexion points occur when f′′(x)=0 and f′′(x) changes sign. 🚫

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    Concavity
    SL 5.7

    We determine concavity by the sign of f′′:

    f′′{>0⇔f concave up<0⇔f concave down​🚫

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    Classifying stationary points using the second derivative
    SL 5.7

    At a stationary point (f′(a)=0),

    • If f′′(a)>0, then f has a local minimum at x=a.

    • If f′′(a)<0, then f has a local maximum at x=a.

    Using the second derivative to classify a stationary point is often called the second derivative test.

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    Graphs of f, f' and f''
    SL 5.7

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    • When f′ crosses the x-axis f has a maximum (f′′<0) or minimum (f′′>0)

    • When f′′ crosses the x-axis, f has an inflexion point.

    Watch video explanation →