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IB DP Maths: AA SL

Revision Notes

Home / DP / Maths: AA SL / IB / Revision Notes / 2. Functions / 2.1 Linear Functions & Graphs / 2.1.1 Equations of a Straight Line


2.1.1 Equations of a Straight Line


Equations of a Straight Line

How do I find the gradient of a straight line?

  • Find two points that the line passes through with coordinates (x1, y1) and (x2, y2)
  • The gradient between these two points is calculated by

begin mathsize 22px style m equals fraction numerator y subscript 2 minus y subscript 1 over denominator x subscript 2 minus x subscript 1 end fraction end style 

    • This is given in the formula booklet
  • The gradient of a straight line measures its slope
    • A line with gradient 1 will go up 1 unit for every unit it goes to the right
    • A line with gradient -2 will go down two units for every unit it goes to the right

What are the equations of a straight line?

  • space y equals m x plus c
    • This is the gradient-intercept form
    • It clearly shows the gradient m and the y-intercept (0, c)
  • space y minus y subscript 1 equals m open parentheses x minus x subscript 1 close parentheses
    • This is the point-gradient form
    • It clearly shows the gradient m and a point on the line (x1, y1)
  • space a x plus b y plus d equals 0
    • This is the general form
    • You can quickly get the x-interceptspace stretchy left parenthesis negative d over a comma space 0 stretchy right parenthesis and y-interceptspace stretchy left parenthesis 0 comma space minus d over b stretchy right parenthesis

How do I find an equation of a straight line?

  • You will need the gradient
    • If you are given two points then first find the gradient
  • It is easiest to start with the point-gradient form
    • then rearrange into whatever form is required
      • multiplying both sides by any denominators will get rid of fractions
  • You can check your answer by using your GDC
    • Graph your answer and check it goes through the point(s)
    • If you have two points then you can enter these in the statistics mode and find the regression line space y equals a x plus b

Worked Example

The line space l passes through the points left parenthesis negative 2 comma space 5 right parenthesis and left parenthesis 6 comma space minus 7 right parenthesis.

Find the equation of space l , giving your answer in the form space a x plus b y plus d equals 0 where space a comma space b  and space c are integers to be found.

2-1-1-ib-ai-sl-equation-of-a-line-we-solution

Parallel Lines

How are the equations of parallel lines connected?

  • Parallel lines are always equidistant meaning they never intersect
  • Parallel lines have the same gradient
    • If the gradient of line l1 is m1 and gradient of line l2 is m2 then...
      • m subscript 1 equals m subscript 2 rightwards double arrow l subscript 1 blank & blank l subscript 2 blank are blank parallel
      • l subscript 1 blank & blank l subscript 2 blank are blank parallel rightwards double arrow m subscript 1 equals m subscript 2
  • To determine if two lines are parallel:
    • Rearrange into the gradient-intercept form space y equals m x plus c
    • Compare the coefficients of space x
    • If they are equal then the lines are parallel

Parallel & Perpendicular Gradients Notes Diagram 1

Worked Example

The line space l  passes through the point space left parenthesis 4 comma negative 1 right parenthesis  and is parallel to the line with equation space 2 x minus 5 y equals 3 .

Find the equation of space l , giving your answer in the form space y equals m x plus c.

2-1-1-ib-ai-sl-parallel-lines-we-solution 

Perpendicular Lines

How are the equations of perpendicular lines connected?

  • Perpendicular lines intersect at right angles
  • The gradients of two perpendicular lines are negative reciprocals
    • If the gradient of line l1 is m1 and gradient of line l2 is m2 then...
      • space m subscript 1 cross times m subscript 2 equals negative 1 space rightwards double arrow space l subscript 1 space & space l subscript 2 space are space perpendicular
      •   l subscript 1 space & space l subscript 2 space are space perpendicular space rightwards double arrow space m subscript 1 cross times m subscript 2 equals negative 1
  • To determine if two lines are perpendicular:
    • Rearrange into the gradient-intercept form space y equals m x plus c
    • Compare the coefficients of space x
    • If their product is -1 then they are perpendicular
  • Be careful with horizontal and vertical lines
    • space x equals p and space y equals q are perpendicular where p and q are constants

Parallel & Perpendicular Gradients Notes Diagram 3

Worked Example

The line space l subscript 1  is given by the equation space 3 x minus 5 y equals 7.

The line space l subscript 2  is given by the equation space y equals 1 fourth minus 5 over 3 x .

Determine whether space l subscript 1 and space l subscript 2 are perpendicular. Give a reason for your answer.

2-1-1-ib-ai-sl-perpendicular-lines-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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