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 maximum points are two types of stationary point

    • The gradient function (derivative) at such points equals zero
      i.e. space f 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 further afield

  • Similarly, 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 further afield

  • The graphs of many functions tend to infinity for large values of x
    (and/or minus infinity for large negative values of x)

  • 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

    • a local minimum changes the function from decreasing to increasing

      • the gradient changes from negative to positive

    • a local maximum changes the function from increasing to decreasing

      • the gradient changes from positive to negative

Stationary Points incr decr min max

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

Author: 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.