Cookies

We use cookies to improve your experience on our website By continuing to browse the site you are agreeing to our use of cookies.
Our privacy policy

Save My Exams Logo
  • GCSE
  • IGCSE
  • AS
  • A Level
  • O Level
  • Pre U
  • IB
  • Login
  •  
MathsBiologyChemistryPhysicsCombined ScienceEnglish LanguageOther Subjects
GCSE > Maths
Edexcel Topic QuestionsRevision NotesPast PapersPast Papers (old spec)
AQA Topic QuestionsRevision NotesPast Papers
OCR Topic QuestionsRevision NotesPast Papers
GCSE > Biology
Edexcel Topic QuestionsRevision NotesPast Papers
AQA Topic QuestionsRevision NotesPast Papers
OCR Gateway Topic QuestionsRevision NotesPast Papers
CCEA Topic QuestionsPast Papers
GCSE > Chemistry
Edexcel Topic QuestionsRevision NotesPast Papers
AQA Topic QuestionsRevision NotesPast Papers
OCR Gateway Topic QuestionsRevision NotesPast Papers
CCEA Topic QuestionsPast Papers
GCSE > Physics
Edexcel Topic QuestionsRevision NotesPast Papers
AQA Topic QuestionsRevision NotesPast Papers
OCR Gateway Topic QuestionsRevision NotesPast Papers
CCEA Topic QuestionsPast Papers
GCSE > Combined Science
Edexcel Combined: Biology Revision NotesPast Papers
Edexcel Combined: Chemistry Revision NotesPast Papers
Edexcel Combined: Physics Revision NotesPast Papers
AQA Combined: Biology Topic QuestionsRevision NotesPast Papers
AQA Combined: Chemistry Topic QuestionsRevision NotesPast Papers
AQA Combined: Physics Topic QuestionsRevision NotesPast Papers
OCR Gateway Combined: Biology Topic QuestionsRevision Notes
GCSE > English Language
AQA Revision NotesPractice PapersPast Papers
Edexcel Past Papers
OCR Past Papers
GCSE > Other Subjects
AQA English LiteratureBusiness StudiesComputer ScienceEconomicsGeographyHistoryPsychologySociology
Edexcel English LiteratureBusiness StudiesComputer ScienceGeographyHistoryPsychology
OCR English LiteratureBusiness StudiesComputer ScienceEconomicsPsychology
OCR Gateway GeographyHistory
MathsBiologyChemistryPhysicsDouble ScienceEnglish LanguageOther Subjects
IGCSE > Maths
Edexcel Topic QuestionsRevision NotesPast PapersBronze-Silver-Gold Questions
CIE (Extended) Topic QuestionsRevision NotesPast Papers
CIE (Core) Topic QuestionsPast Papers
IGCSE > Biology
Edexcel Topic QuestionsRevision NotesPast Papers
CIE Topic QuestionsRevision NotesPast Papers
IGCSE > Chemistry
Edexcel Topic QuestionsRevision NotesPast Papers
CIE Topic QuestionsRevision NotesPast Papers
IGCSE > Physics
Edexcel Topic QuestionsRevision NotesPast Papers
CIE Topic QuestionsRevision NotesPast Papers
IGCSE > Double Science
Edexcel Double: Biology Topic QuestionsRevision NotesPast Papers
Edexcel Double: Chemistry Topic QuestionsRevision NotesPast Papers
Edexcel Double: Physics Topic QuestionsRevision NotesPast Papers
IGCSE > English Language
CIE Revision NotesPractice PapersPast Papers
Edexcel Past Papers
IGCSE > Other Subjects
CIE English LiteratureBusinessComputer ScienceEconomicsGeographyHistorySociology
Edexcel English LiteratureBusinessComputer ScienceGeographyHistory
MathsBiologyChemistryPhysicsEnglish LanguageOther Subjects
AS > Maths
Edexcel Pure MathsMechanicsStatistics
AQA Pure MathsMechanicsStatistics
OCR Pure MathsMechanicsStatistics
CIE Pure 1Pure 2MechanicsProbability & Statistics 1
Edexcel IAS Pure 1Pure 2MechanicsStatistics
AS > Biology
AQA Topic QuestionsRevision NotesPast Papers
OCR Revision NotesPast Papers
CIE 2019-2021 Topic QuestionsRevision NotesPast Papers
CIE 2022-2024 Topic QuestionsRevision NotesPast Papers
Edexcel IAL Revision Notes
AS > Chemistry
Edexcel Revision Notes
AQA Topic QuestionsRevision NotesPast Papers
CIE 2019-2021 Topic QuestionsRevision NotesPast Papers
CIE 2022-2024 Topic QuestionsRevision NotesPast Papers
Edexcel IAL Revision Notes
AS > Physics
Edexcel Revision Notes
AQA Topic QuestionsRevision NotesPast Papers
OCR Revision NotesPast Papers
CIE 2019-2021 Topic QuestionsRevision NotesPast Papers
CIE 2022-2024 Topic QuestionsRevision NotesPast Papers
Edexcel IAL Revision Notes
AS > English Language
AQA Past Papers
Edexcel Past Papers
OCR Past Papers
AS > Other Subjects
AQA Business StudiesComputer ScienceEconomicsEnglish LiteratureGeographyHistoryPsychologySociology
Edexcel Business StudiesEconomicsEnglish LiteratureGeographyHistoryPsychology
OCR Business StudiesComputer ScienceEconomicsEnglish LiteratureGeographyHistoryPsychologySociology
MathsBiologyChemistryPhysicsEnglish LanguageOther Subjects
A Level > Maths
Edexcel Pure MathsMechanicsStatistics
AQA Pure MathsMechanicsStatistics
OCR Pure MathsMechanicsStatistics
CIE Pure 1Pure 3MechanicsProbability & Statistics 1Probability & Statistics 2
Edexcel IAL Pure 1Pure 2Pure 3Pure 4Mechanics 1Mechanics 2Statistics 1Statistics 2
A Level > Biology
Edexcel Topic QuestionsPast Papers
Edexcel A (SNAB) Revision Notes
AQA Topic QuestionsRevision NotesPast Papers
OCR Topic QuestionsRevision NotesPast PapersGold Questions
CIE 2019-2021 Topic QuestionsRevision NotesPast Papers
CIE 2022-2024 Topic QuestionsRevision NotesPast Papers
Edexcel IAL Topic QuestionsRevision NotesPast Papers
A Level > Chemistry
Edexcel Topic QuestionsRevision NotesPast Papers
AQA Topic QuestionsRevision NotesPast Papers
OCR Topic QuestionsRevision NotesPast PapersGold Questions
CIE 2019-2021 Topic QuestionsRevision NotesPast Papers
CIE 2022-2024 Topic QuestionsRevision NotesPast Papers
Edexcel IAL Topic QuestionsRevision NotesPast Papers
A Level > Physics
Edexcel Topic QuestionsRevision NotesPast Papers
AQA Topic QuestionsRevision NotesPast Papers
OCR Topic QuestionsRevision NotesPast Papers
CIE 2019-2021 Topic QuestionsRevision NotesPast Papers
CIE 2022-2024 Topic QuestionsRevision NotesPast Papers
Edexcel IAL Topic QuestionsRevision NotesPast Papers
A Level > English Language
AQA Past Papers
CIE Past Papers
Edexcel Past Papers
OCR Past Papers
Edexcel IAL Past Papers
A Level > Other Subjects
AQA Business StudiesComputer ScienceEconomicsEnglish LiteratureGeographyHistoryPsychologySociology
CIE BusinessComputer ScienceEconomicsEnglish LiteratureGeographyPsychologySociology
Edexcel Business StudiesEconomicsEnglish LiteratureGeographyHistoryPsychology
OCR Business StudiesComputer ScienceEconomicsEnglish LiteratureGeographyHistoryPsychologySociology
Edexcel IAL English LiteratureGeographyPsychology
CIE IAL History
BiologyChemistryPhysics
O Level > Biology
CIE Topic QuestionsPast Papers
O Level > Chemistry
CIE Topic QuestionsPast Papers
O Level > Physics
CIE Topic QuestionsPast Papers
MathsBiologyChemistryPhysics
Pre U > Maths
CIE Topic QuestionsPast Papers
Pre U > Biology
CIE Topic QuestionsPast Papers
Pre U > Chemistry
CIE Topic QuestionsPast Papers
Pre U > Physics
CIE Topic QuestionsPast Papers
MathsBiologyChemistryPhysics
IB > Maths
Maths: AA HL Topic QuestionsRevision Notes
Maths: AI HL Topic QuestionsRevision Notes
Maths: AA SL Topic QuestionsRevision NotesPractice Papers
Maths: AI SL Topic QuestionsRevision NotesPractice Papers
IB > Biology
Biology: SL Topic QuestionsRevision Notes
Biology: HL Topic QuestionsRevision Notes
IB > Chemistry
Chemistry: SL Topic QuestionsRevision Notes
Chemistry: HL Topic QuestionsRevision Notes
IB > Physics
Physics: SL Topic QuestionsRevision Notes
Physics: HL Revision Notes

Up to 33% off discounts extended!

Ace your exams with up to 33% off our Annual and Quarterly plans for a limited time only. T&Cs apply.


Ok, hide this.

IB DP Maths: AI HL

Revision Notes

Home / DP / Maths: AI HL / IB / Revision Notes / 3. Geometry & Trigonometry / 3.7 Vector Properties / 3.7.4 The Scalar Product


3.7.4 The Scalar Product


The Scalar ('Dot') Product

What is the scalar product?

  • The scalar product (also known as the dot product) is one form in which two vectors can be combined together
  • The scalar product between two vectors a and b is denoted bold a times bold b
  • The result of taking the scalar product of two vectors is a real number
    • i.e. a scalar
  • The scalar product of two vectors gives information about the angle between the two vectors
    • If the scalar product is positive then the angle between the two vectors is acute (less than 90°) 
    • If the scalar product is negative then the angle between the two vectors is obtuse (between 90° and 180°) 
    • If the scalar product is zero then the angle between the two vectors is 90° (the two vectors are perpendicular)

How is the scalar product calculated?

  • There are two methods for calculating the scalar product
  • The most common method used to find the scalar product between the two vectors v and w is to find the sum of the product of each component in the two vectors
    • bold italic v times bold italic w equals blank v subscript 1 w subscript 1 plus blank v subscript 2 w subscript 2 plus blank v subscript 3 w subscript 3
    • Where begin mathsize 16px style bold italic v equals blank open parentheses fraction numerator v subscript 1 over denominator table row cell v subscript 2 end cell row cell v subscript 3 end cell end table end fraction close parentheses end style and begin mathsize 16px style bold italic w equals blank open parentheses fraction numerator w subscript 1 over denominator table row cell w subscript 2 end cell row cell w subscript 3 end cell end table end fraction close parentheses end style
    • This is given in the formula booklet
  • The scalar product is also equal to the product of the magnitudes of the two vectors and the cosine of the angle between them
    • bold italic v times bold italic w equals open vertical bar v close vertical bar open vertical bar w close vertical bar cos space theta
    • Where θ is the angle between v and w
      • The two vectors v and w are joined at the start and pointing away from each other
  • The scalar product can be used in the second formula to find the angle between the two vectors

What properties of the scalar product do I need to know?

  • If two vectors, v and w, are parallel then the magnitude of the scalar product is equal to the product of the magnitudes of the vectors
    • vertical line bold italic v times bold italic w vertical line equals vertical line bold italic w vertical line vertical line bold italic v vertical line
    • This is because cos 0° = 1 and cos 180° = -1
  • If two vectors are perpendicular the scalar product is zero
    • This is because cos 90° = 0

Worked Example

Calculate the scalar product between the two vectors begin mathsize 16px style bold italic v equals blank open parentheses fraction numerator 2 over denominator table row 0 row cell negative 5 end cell end table end fraction close parentheses blank end styleand bold italic w equals 3 bold j minus 2 bold k minus bold i using:

i)
the formula bold italic v times bold italic w equals blank v subscript 1 w subscript 1 plus blank v subscript 2 w subscript 2 plus blank v subscript 3 w subscript 3,

3-9-4-ib-aa-hl-the-scalar-product-we-solution-a

ii)
the formula bold italic v times bold italic w equals open vertical bar v close vertical bar open vertical bar w close vertical bar cos invisible function application space theta, given that the angle between the two vectors is 66.6°.

3-9-4-ib-aa-hl-the-scalar-product-we-solution-b

Angle Between Two Vectors

How do I find the angle between two vectors?

  • If two vectors with different directions are placed at the same starting position, they will form an angle between them
  • The two formulae for the scalar product can be used together to find this angle
    • begin mathsize 16px style cos space invisible function application theta blank equals blank fraction numerator v subscript 1 w subscript 1 plus blank v subscript 2 w subscript 2 plus blank v subscript 3 w subscript 3 over denominator open vertical bar bold italic v close vertical bar vertical line bold italic w vertical line end fraction end style
    • This is given in the formula booklet
  • To find the angle between two vectors:
    • Calculate the scalar product between them
    • Calculate the magnitude of each vector
    • Use the formula to find cos θ
    • Use inverse trig to find θ

Worked Example

Calculate the angle formed by the two vectors begin mathsize 16px style bold italic v equals blank open parentheses fraction numerator negative 1 over denominator table row 3 row 2 end table end fraction close parentheses blank end styleand bold italic w equals 3 bold i plus 4 bold j minus bold k.

3-9-4-ib-aa-hl-angle-between-two-vectors-we-solution-a

Perpendicular Vectors

How do I know if two vectors are perpendicular?

  • If the scalar product of two (non-zero) vectors is zero then they are perpendicular
    • If bold italic v times bold italic w equals 0 then v and w must be perpendicular to each other
  • Two vectors are perpendicular if their scalar product is zero
    • The value of cos θ = 0 therefore |v||w|cos θ = 0

 

Worked Example

Find the value of t such that the two vectors begin mathsize 16px style bold italic v equals blank open parentheses fraction numerator 2 over denominator table row t row 5 end table end fraction close parentheses blank end styleand bold italic w equals left parenthesis t minus 1 right parenthesis bold i minus bold j plus bold k are perpendicular to each other.

3-9-4-ib-aa-hl-the-angle-between-vectors-we-solution



  • 1. Number & Algebra
    • 1.1 Number Toolkit
      • 1.1.1 Standard Form
        • 1.1.2 Approximation & Estimation
          • 1.1.3 GDC: Solving Equations
          • 1.2 Exponentials & Logs
            • 1.2.1 Exponents
            • 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
                    • 1.4 Financial Applications
                      • 1.4.1 Compound Interest & Depreciation
                        • 1.4.2 Amortisation & Annuities
                        • 1.5 Complex Numbers
                          • 1.5.1 Intro to Complex Numbers
                            • 1.5.2 Modulus & Argument
                              • 1.5.3 Introduction to Argand Diagrams
                              • 1.6 Further Complex Numbers
                                • 1.6.1 Geometry of Complex Numbers
                                  • 1.6.2 Forms of Complex Numbers
                                    • 1.6.3 Applications of Complex Numbers
                                    • 1.7 Matrices
                                      • 1.7.1 Introduction to Matrices
                                        • 1.7.2 Operations with Matrices
                                          • 1.7.3 Determinants & Inverses
                                            • 1.7.4 Solving Systems of Linear Equations with Matrices
                                            • 1.8 Eigenvalues & Eigenvectors
                                              • 1.8.1 Eigenvalues & Eigenvectors
                                                • 1.8.2 Applications of Matrices
                                              • 2. Functions
                                                • 2.1 Linear Functions & Graphs
                                                  • 2.1.1 Equations of a Straight Line
                                                  • 2.2 Further Functions & Graphs
                                                    • 2.2.1 Functions
                                                      • 2.2.2 Graphing Functions
                                                        • 2.2.3 Properties of Graphs
                                                        • 2.3 Modelling with Functions
                                                          • 2.3.1 Linear Models
                                                            • 2.3.2 Quadratic & Cubic Models
                                                              • 2.3.3 Exponential Models
                                                                • 2.3.4 Direct & Inverse Variation
                                                                  • 2.3.5 Sinusoidal Models
                                                                    • 2.3.6 Strategy for Modelling Functions
                                                                    • 2.4 Functions Toolkit
                                                                      • 2.4.1 Composite & Inverse 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
                                                                              • 2.6 Further Modelling with Functions
                                                                                • 2.6.1 Properties of Further Graphs
                                                                                  • 2.6.2 Natural Logarithmic Models
                                                                                    • 2.6.3 Logistic Models
                                                                                      • 2.6.4 Piecewise Models
                                                                                      • 2.7 Modelling with Logarithms
                                                                                        • 2.7.1 Logarthmic Scales
                                                                                          • 2.7.2 Linearising using Logarithms
                                                                                        • 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 Simple Identities
                                                                                                                • 3.4.3 Solving Trigonometric Equations
                                                                                                                • 3.5 Voronoi Diagrams
                                                                                                                  • 3.5.1 Voronoi Diagrams
                                                                                                                    • 3.5.2 Toxic Waste Dump Problem
                                                                                                                    • 3.6 Matrix Transformations
                                                                                                                      • 3.6.1 Matrix Transformations
                                                                                                                        • 3.6.2 Determinant of a Transformation Matrix
                                                                                                                        • 3.7 Vector Properties
                                                                                                                          • 3.7.1 Introduction to Vectors
                                                                                                                            • 3.7.2 Position Vectors
                                                                                                                              • 3.7.3 Magnitude of a Vector
                                                                                                                                • 3.7.4 The Scalar Product
                                                                                                                                  • 3.7.5 The Vector Product
                                                                                                                                    • 3.7.6 Components of Vectors
                                                                                                                                    • 3.8 Vector Equations of Lines
                                                                                                                                      • 3.8.1 Vector Equations of Lines
                                                                                                                                      • 3.9 Modelling with Vectors
                                                                                                                                        • 3.9.1 Kinematics with Vectors
                                                                                                                                          • 3.9.2 Constant & Variable Velocity
                                                                                                                                          • 3.10 Graph Theory
                                                                                                                                            • 3.10.1 Introduction to Graph Theory
                                                                                                                                              • 3.10.2 Walks & Adjacency Matrices
                                                                                                                                                • 3.10.3 Minimum Spanning Trees
                                                                                                                                                  • 3.10.4 Chinese Postman Problem
                                                                                                                                                    • 3.10.5 Travelling Salesman Problem
                                                                                                                                                      • 3.10.6 Bounds for Travelling Salesman Problem
                                                                                                                                                    • 4. Statistics & Probability
                                                                                                                                                      • 4.1 Statistics Toolkit
                                                                                                                                                        • 4.1.1 Sampling
                                                                                                                                                          • 4.1.2 Data Collection
                                                                                                                                                            • 4.1.3 Statistical Measures
                                                                                                                                                              • 4.1.4 Frequency Tables
                                                                                                                                                                • 4.1.5 Linear Transformations of Data
                                                                                                                                                                  • 4.1.6 Outliers
                                                                                                                                                                    • 4.1.7 Univariate Data
                                                                                                                                                                      • 4.1.8 Interpreting Data
                                                                                                                                                                      • 4.2 Correlation & Regression
                                                                                                                                                                        • 4.2.1 Bivariate Data
                                                                                                                                                                          • 4.2.2 Correlation Coefficients
                                                                                                                                                                            • 4.2.3 Linear Regression
                                                                                                                                                                            • 4.3 Further Correlation & Regression
                                                                                                                                                                              • 4.3.1 Non-linear Regression
                                                                                                                                                                              • 4.4 Probability
                                                                                                                                                                                • 4.4.1 Probability & Types of Events
                                                                                                                                                                                  • 4.4.2 Conditional Probability
                                                                                                                                                                                    • 4.4.3 Sample Space Diagrams
                                                                                                                                                                                    • 4.5 Probability Distributions
                                                                                                                                                                                      • 4.5.1 Discrete Probability Distributions
                                                                                                                                                                                        • 4.5.2 Expected Values
                                                                                                                                                                                        • 4.6 Random Variables
                                                                                                                                                                                          • 4.6.1 Linear Combinations of Random Variables
                                                                                                                                                                                            • 4.6.2 Unbiased Estimates
                                                                                                                                                                                            • 4.7 Binomial Distribution
                                                                                                                                                                                              • 4.7.1 The Binomial Distribution
                                                                                                                                                                                                • 4.7.2 Calculating Binomial Probabilities
                                                                                                                                                                                                • 4.8 Normal Distribution
                                                                                                                                                                                                  • 4.8.1 The Normal Distribution
                                                                                                                                                                                                    • 4.8.2 Calculations with Normal Distribution
                                                                                                                                                                                                    • 4.9 Further Normal Distribution (inc Central Limit Theorem)
                                                                                                                                                                                                      • 4.9.1 Sample Mean Distribution
                                                                                                                                                                                                        • 4.9.2 Confidence Interval for the Mean
                                                                                                                                                                                                        • 4.10 Poisson Distribution
                                                                                                                                                                                                          • 4.10.1 Poisson Distribution
                                                                                                                                                                                                            • 4.10.2 Calculating Poisson Probabilities
                                                                                                                                                                                                            • 4.11 Hypothesis Testing
                                                                                                                                                                                                              • 4.11.1 Hypothesis Testing
                                                                                                                                                                                                                • 4.11.2 Chi-squared Test for Independence
                                                                                                                                                                                                                  • 4.11.3 Goodness of Fit Test
                                                                                                                                                                                                                  • 4.12 Further Hypothesis Testing
                                                                                                                                                                                                                    • 4.12.1 Hypothesis Testing for Mean (One Sample)
                                                                                                                                                                                                                      • 4.12.2 Hypothesis Testing for Mean (Two Sample)
                                                                                                                                                                                                                        • 4.12.3 Binomial Hypothesis Testing
                                                                                                                                                                                                                          • 4.12.4 Poisson Hypothesis Testing
                                                                                                                                                                                                                            • 4.12.5 Hypothesis Testing for Correlation
                                                                                                                                                                                                                              • 4.12.6 Type I & Type II Errors
                                                                                                                                                                                                                              • 4.13 Transition Matrices & Markov Chains
                                                                                                                                                                                                                                • 4.13.1 Markov Chains
                                                                                                                                                                                                                                  • 4.13.2 Transition Matrices
                                                                                                                                                                                                                                • 5. Calculus
                                                                                                                                                                                                                                  • 5.1 Differentiation
                                                                                                                                                                                                                                    • 5.1.1 Introduction to Differentiation
                                                                                                                                                                                                                                      • 5.1.2 Applications of Differentiation
                                                                                                                                                                                                                                        • 5.1.3 Modelling with Differentiation
                                                                                                                                                                                                                                        • 5.2 Further Differentiation
                                                                                                                                                                                                                                          • 5.2.1 Differentiating Special Functions
                                                                                                                                                                                                                                            • 5.2.2 Techniques of Differentiation
                                                                                                                                                                                                                                              • 5.2.3 Related Rates of Change
                                                                                                                                                                                                                                                • 5.2.4 Second Order Derivatives
                                                                                                                                                                                                                                                  • 5.2.5 Further Applications of Differentiation
                                                                                                                                                                                                                                                    • 5.2.6 Concavity & Points of Inflection
                                                                                                                                                                                                                                                    • 5.3 Integration
                                                                                                                                                                                                                                                      • 5.3.1 Trapezoid Rule: Numerical Integration
                                                                                                                                                                                                                                                        • 5.3.2 Introduction to Integration
                                                                                                                                                                                                                                                          • 5.3.3 Applications of Integration
                                                                                                                                                                                                                                                          • 5.4 Further Integration
                                                                                                                                                                                                                                                            • 5.4.1 Integrating Special Functions
                                                                                                                                                                                                                                                              • 5.4.2 Techniques of Integration
                                                                                                                                                                                                                                                                • 5.4.3 Further Applications of Integration
                                                                                                                                                                                                                                                                  • 5.4.4 Volumes of Revolution
                                                                                                                                                                                                                                                                  • 5.5 Kinematics
                                                                                                                                                                                                                                                                    • 5.5.1 Kinematics Toolkit
                                                                                                                                                                                                                                                                      • 5.5.2 Calculus for Kinematics
                                                                                                                                                                                                                                                                      • 5.6 Differential Equations
                                                                                                                                                                                                                                                                        • 5.6.1 Modelling with Differential Equations
                                                                                                                                                                                                                                                                          • 5.6.2 Separation of Variables
                                                                                                                                                                                                                                                                            • 5.6.3 Slope Fields
                                                                                                                                                                                                                                                                              • 5.6.4 Approximate Solutions to Differential Equations
                                                                                                                                                                                                                                                                              • 5.7 Further Differential Equations
                                                                                                                                                                                                                                                                                • 5.7.1 Coupled Differential Equations
                                                                                                                                                                                                                                                                                  • 5.7.2 Second Order Differential Equations


                                                                                                                                                                                                                                                                                  DOWNLOAD PDF

                                                                                                                                                                                                                                                                                Author: Amber

                                                                                                                                                                                                                                                                                Amber gained a first class degree in Mathematics & Meteorology from the University of Reading before training to become a teacher. She is passionate about teaching, having spent 8 years teaching GCSE and A Level Mathematics both in the UK and internationally. Amber loves creating bright and informative resources to help students reach their potential.


                                                                                                                                                                                                                                                                                Save My Exams Logo
                                                                                                                                                                                                                                                                                Resources
                                                                                                                                                                                                                                                                                Home Join Support

                                                                                                                                                                                                                                                                                Members
                                                                                                                                                                                                                                                                                Members Home Account Login

                                                                                                                                                                                                                                                                                Company
                                                                                                                                                                                                                                                                                About Us Contact Us Jobs Terms Privacy Facebook Twitter

                                                                                                                                                                                                                                                                                Quick Links
                                                                                                                                                                                                                                                                                GCSE Revision Notes IGCSE Revision Notes A Level Revision Notes Biology Chemistry Physics Maths 2022 Advance Information

                                                                                                                                                                                                                                                                                 
                                                                                                                                                                                                                                                                                © Copyright 2015-2022 Save My Exams Ltd. All Rights Reserved.
                                                                                                                                                                                                                                                                                IBO was not involved in the production of, and does not endorse, the resources created by Save My Exams.