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IB DP Maths: AA SL

Revision Notes

Home / DP / Maths: AA SL / IB / Revision Notes / 2. Functions / 2.5 Transformations of Graphs / 2.5.4 Composite Transformations of Graphs


2.5.4 Composite Transformations of Graphs


Composite Transformations of Graphs

What transformations do I need to know?

  • space y equals f left parenthesis x plus k right parenthesis is horizontal translation by vector stretchy left parenthesis table row cell negative k end cell row 0 end table stretchy right parenthesis
    • If k is positive then the graph moves left
    • If k is negative then the graph moves right
  • space y equals f left parenthesis x right parenthesis plus k is vertical translation by vector stretchy left parenthesis table row 0 row k end table stretchy right parenthesis
    • If k is positive then the graph moves up
    • If k is negative then the graph moves down
  • space y equals f left parenthesis k x right parenthesis is a horizontal stretch by scale factor 1 over k centred about the y-axis
    • If k > 1 then the graph gets closer to the y-axis
    • If 0 < k < 1 then the graph gets further from the y-axis
  • space y equals k f left parenthesis x right parenthesis is a vertical stretch by scale factor k centred about the x-axis
    • If k > 1 then the graph gets further from the x-axis
    • If 0 < k < 1 then the graph gets closer to the x-axis
  • space y equals f left parenthesis negative x right parenthesis is a horizontal reflection about the y-axis
    • A horizontal reflection can be viewed as a special case of a horizontal stretch
  • space y equals negative f left parenthesis x right parenthesis is a vertical reflection about the x-axis
    • A vertical reflection can be viewed as a special case of a vertical stretch

How do horizontal and vertical transformations affect each other?

  • Horizontal and vertical transformations are independent of each other
    • The horizontal transformations involved will need to be applied in their correct order
    • The vertical transformations involved will need to be applied in their correct order
  • Suppose there are two horizontal transformation H1 then H2 and two vertical transformations V1 then V2 then they can be applied in the following orders:
    •  Horizontal then vertical:
      • H1 H2 V1 V2
    • Vertical then horizontal:
      • V1 V2 H1 H2
    • Mixed up (provided that H1 comes before H2 and V1 comes before V2):
      • H1 V1 H2 V2
      • H1 V1 V2 H2
      • V1 H1 V2 H2
      • V1 H1 H2 V2

Worked Example

The diagram below shows the graph of space y equals f left parenthesis x right parenthesis.

we-image

Sketch the graph of space y equals 1 half f stretchy left parenthesis x over 2 stretchy right parenthesis.

2-5-4-ib-aa-sl-comp-transformation-a-we-solution

Composite Vertical Transformations af(x)+b

How do I deal with multiple vertical transformations?

  • Order matters when you have more than one vertical transformations
  • If you are asked to find the equation then build up the equation by looking at the transformations in order
    • A vertical stretch by scale factor a followed by a translation of stretchy left parenthesis table row 0 row b end table stretchy right parenthesis 
      • Stretch: space y equals a f left parenthesis x right parenthesis
      • Then translation: space y equals stretchy left square bracket a f left parenthesis x stretchy right parenthesis stretchy right square bracket plus b
      • Final equation: space y equals a f left parenthesis x right parenthesis plus b
    • A translation of stretchy left parenthesis table row 0 row b end table stretchy right parenthesis followed by a vertical stretch by scale factor a
      • Translation: space y equals f left parenthesis x right parenthesis plus b
      • The stretch: space y equals a stretchy left square bracket f left parenthesis x right parenthesis plus b stretchy right square bracket
      • Final equation: space y equals a f left parenthesis x right parenthesis plus a b
  • If you are asked to determine the order
    • The order of vertical transformations follows the order of operations
    • First write the equation in the form space y equals a f left parenthesis x right parenthesis plus b
      • First stretch vertically by scale factor a
      • If a is negative then the reflection and stretch can be done in any order
      • Then translate by stretchy left parenthesis table row 0 row b end table stretchy right parenthesis

Worked Example

The diagram below shows the graph of space y equals f left parenthesis x right parenthesis.

we-image

Sketch the graph of space y equals 3 f left parenthesis x right parenthesis minus 2.

2-5-4-ib-aa-sl-comp-transformation-b-we-solution



  • 1. Number & Algebra
    • 1.1 Number Toolkit
      • 1.1.1 Standard Form
        • 1.1.2 Laws of Indices
        • 1.2 Exponentials & Logs
          • 1.2.1 Introduction to Logarithms
            • 1.2.2 Laws of Logarithms
              • 1.2.3 Solving Exponential Equations
              • 1.3 Sequences & Series
                • 1.3.1 Language of Sequences & Series
                  • 1.3.2 Arithmetic Sequences & Series
                    • 1.3.3 Geometric Sequences & Series
                      • 1.3.4 Applications of Sequences & Series
                        • 1.3.5 Compound Interest & Depreciation
                        • 1.4 Proof & Reasoning
                          • 1.4.1 Proof
                          • 1.5 Binomial Theorem
                            • 1.5.1 Binomial Theorem
                          • 2. Functions
                            • 2.1 Linear Functions & Graphs
                              • 2.1.1 Equations of a Straight Line
                              • 2.2 Quadratic Functions & Graphs
                                • 2.2.1 Quadratic Functions
                                  • 2.2.2 Factorising & Completing the Square
                                    • 2.2.3 Solving Quadratics
                                      • 2.2.4 Quadratic Inequalities
                                        • 2.2.5 Discriminants
                                        • 2.3 Functions Toolkit
                                          • 2.3.1 Language of Functions
                                            • 2.3.2 Composite & Inverse Functions
                                              • 2.3.3 Graphing Functions
                                              • 2.4 Further Functions & Graphs
                                                • 2.4.1 Reciprocal & Rational Functions
                                                  • 2.4.2 Exponential & Logarithmic Functions
                                                    • 2.4.3 Solving Equations
                                                      • 2.4.4 Modelling with Functions
                                                      • 2.5 Transformations of Graphs
                                                        • 2.5.1 Translations of Graphs
                                                          • 2.5.2 Reflections of Graphs
                                                            • 2.5.3 Stretches of Graphs
                                                              • 2.5.4 Composite Transformations of Graphs
                                                            • 3. Geometry & Trigonometry
                                                              • 3.1 Geometry Toolkit
                                                                • 3.1.1 Coordinate Geometry
                                                                  • 3.1.2 Radian Measure
                                                                    • 3.1.3 Arcs & Sectors
                                                                    • 3.2 Geometry of 3D Shapes
                                                                      • 3.2.1 3D Coordinate Geometry
                                                                        • 3.2.2 Volume & Surface Area
                                                                        • 3.3 Trigonometry
                                                                          • 3.3.1 Pythagoras & Right-Angled Triganometry
                                                                            • 3.3.2 Non Right-Angled Trigonometry
                                                                              • 3.3.3 Applications of Trigonometry & Pythagoras
                                                                              • 3.4 Further Trigonometry
                                                                                • 3.4.1 The Unit Circle
                                                                                  • 3.4.2 Exact Values
                                                                                  • 3.5 Trigonometric Functions & Graphs
                                                                                    • 3.5.1 Graphs of Trigonometric Functions
                                                                                      • 3.5.2 Transformations of Trigonometric Functions
                                                                                        • 3.5.3 Modelling with Trigonometric Functions
                                                                                        • 3.6 Trigonometric Equations & Identities
                                                                                          • 3.6.1 Simple Identities
                                                                                            • 3.6.2 Double Angle Formulae
                                                                                              • 3.6.3 Relationship Between Trigonometric Ratios
                                                                                                • 3.6.4 Linear Trigonometric Equations
                                                                                                  • 3.6.5 Quadratic Trigonometric Equations
                                                                                                • 4. Statistics & Probability
                                                                                                  • 4.1 Statistics Toolkit
                                                                                                    • 4.1.1 Sampling & Data Collection
                                                                                                      • 4.1.2 Statistical Measures
                                                                                                        • 4.1.3 Frequency Tables
                                                                                                          • 4.1.4 Linear Tranformations of Data
                                                                                                            • 4.1.5 Outliers
                                                                                                              • 4.1.6 Univariate Data
                                                                                                                • 4.1.7 Interpreting Data
                                                                                                                • 4.2 Correlation & Regression
                                                                                                                  • 4.2.1 Bivariate Data
                                                                                                                    • 4.2.2 Correlation & Regression
                                                                                                                    • 4.3 Probability
                                                                                                                      • 4.3.1 Probability & Types of Events
                                                                                                                        • 4.3.2 Conditional Probability
                                                                                                                          • 4.3.3 Sample Space Diagrams
                                                                                                                          • 4.4 Probability Distributions
                                                                                                                            • 4.4.1 Discrete Probability Distributions
                                                                                                                              • 4.4.2 Expected Values
                                                                                                                              • 4.5 Binomial Distribution
                                                                                                                                • 4.5.1 The Binomial Distribution
                                                                                                                                  • 4.5.2 Calculating Binomial Probabilities
                                                                                                                                  • 4.6 Normal Distribution
                                                                                                                                    • 4.6.1 The Normal Distribution
                                                                                                                                      • 4.6.2 Calculations with Normal Distribution
                                                                                                                                        • 4.6.3 Standardisation of Normal Variables
                                                                                                                                      • 5. Calculus
                                                                                                                                        • 5.1 Differentiation
                                                                                                                                          • 5.1.1 Introduction to Differentiation
                                                                                                                                            • 5.1.2 Applications of Differentiation
                                                                                                                                            • 5.2 Further Differentiation
                                                                                                                                              • 5.2.1 Differentiating Special Functions
                                                                                                                                                • 5.2.2 Techniques of Differentiation
                                                                                                                                                  • 5.2.3 Second Order Derivatives
                                                                                                                                                    • 5.2.4 Further Applications of Differentiation
                                                                                                                                                      • 5.2.5 Concavity & Points of Inflection
                                                                                                                                                        • 5.2.6 Derivatives & Graphs
                                                                                                                                                        • 5.3 Integration
                                                                                                                                                          • 5.3.1 Introduction to Integration
                                                                                                                                                            • 5.3.2 Applications of Integration
                                                                                                                                                            • 5.4 Further Integration
                                                                                                                                                              • 5.4.1 Integrating Special Functions
                                                                                                                                                                • 5.4.2 Techniques of Integration
                                                                                                                                                                  • 5.4.3 Definite Integrals
                                                                                                                                                                    • 5.4.4 Further Applications of Integration
                                                                                                                                                                    • 5.5 Optimisation
                                                                                                                                                                      • 5.5.1 Modelling with Differentiation
                                                                                                                                                                      • 5.6 Kinematics
                                                                                                                                                                        • 5.6.1 Kinematics Toolkit
                                                                                                                                                                          • 5.6.2 Calculus for Kinematics


                                                                                                                                                                          DOWNLOAD PDF

                                                                                                                                                                        Author: Daniel

                                                                                                                                                                        Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.


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