Local Minimum & Maximum Points (DP IB Applications & Interpretation (AI)): Revision Note

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Local Minimum & Maximum Points

What are local minimum and maximum points?

  • Local minimum and local maximum points are two types of stationary point

    • The gradient function (derivative) at such points equals zero

      • I.e. space f to the power of apostrophe left parenthesis x right parenthesis equals 0

  • A local minimum point, left parenthesis x comma space f left parenthesis x right parenthesis right parenthesis spacewill be the lowest value ofspace f left parenthesis x right parenthesis in the local vicinity of the value of x

    • The function may reach a lower value somewhere further away

  • A local maximum point, left parenthesis x comma space f left parenthesis x right parenthesis right parenthesis spacewill be the greatest value ofspace f left parenthesis x right parenthesis in the local vicinity of the value of x

    • The function may reach a greater value somewhere further away

Examiner Tips and Tricks

The graphs of many functions tend to plus or minus infinity for large positive or negative values of x. Local maximums or minimums may not be 'everywhere' maximums or minimums for such functions.

  • The nature of a stationary point refers to whether it is a local minimum or local maximum point

How do I find the coordinates and nature of stationary points?

  • The instructions below describe how to find local minimum and maximum points using a GDC on the graph of the function y equals f left parenthesis x right parenthesis
     

  • STEP 1
    Plot the graph of y equals f left parenthesis x right parenthesis
    Sketch the graph as part of the solution
     

  • STEP 2
    Use the options from the graphing screen to “solve for minimum”
    The GDC will display the x and y coordinates of the first minimum point
    Scroll onwards to see there are anymore minimum points
     Note down the coordinates and the type of stationary point
     

  • STEP 3
    Repeat STEP 2 but use “solve for maximum” on your GDC
     

  • In STEP 2 the nature of the stationary point should be easy to tell from the graph

    • At a local minimum the function changes from decreasing to increasing

      • the gradient changes from negative to positive

    • At a local maximum the function changes from increasing to decreasing

      • the gradient changes from positive to negative

Graph of y=f(x) with labelled sections: increasing (positive gradient), decreasing (negative gradient). Points where gradient equals zero are also marked, with green horizontal tangent line segments drawn at those points. Where the zero-gradient point is at a 'peak' of the curve it is labelled 'local maximum', and where it is at a 'trough' of the curve it is labelled 'local minimum'.

Worked Example

Find the stationary points ofspace f begin mathsize 16px style stretchy left parenthesis x stretchy right parenthesis end style size 16px equals size 16px x begin mathsize 16px style stretchy left parenthesis x squared minus 27 stretchy right parenthesis end style, and state their nature.

5-1-2-ib-sl-ai-only-we2-soltn

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Paul

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Paul has taught mathematics for 20 years and has been an examiner for Edexcel for over a decade. GCSE, A level, pure, mechanics, statistics, discrete – if it’s in a Maths exam, Paul will know about it. Paul is a passionate fan of clear and colourful notes with fascinating diagrams.

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