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 / 1. Number & Algebra / 1.3 Sequences & Series / 1.3.3 Geometric Sequences & Series


1.3.3 Geometric Sequences & Series


Geometric Sequences

What is a geometric sequence?

  • In a geometric sequence, there is a common ratio, r, between consecutive terms in the sequence
    • For example, 2, 6, 18, 54, 162, … is a sequence with the rule ‘start at two and multiply each number by three’
      • The first term, u1, is 2
      • The common ratio, r, is 3
  • A geometric sequence can be increasing (r > 1) or decreasing (0 < r < 1)
  •  If the common ratio is a negative number the terms will alternate between positive and negative values
    • For example, 1, -4, 16, -64, 256, … is a sequence with the rule ‘start at one and multiply each number by negative four’
        • The first term, u1, is 1
        • The common ratio, r, is -4
  • Each term of a geometric sequence is referred to by the letter u with a subscript determining its place in the sequence

How do I find a term in a geometric sequence?

  • The n to the power of t h end exponent term formula for a geometric sequence is given as

u subscript n equals u subscript 1 r to the power of n minus 1 end exponent

    • Where u subscript 1 is the first term, and r is the common ratio
    • This formula allows you to find any term in the geometric sequence
    • It is given in the formula booklet, you do not need to know how to derive it
  • Enter the information you have into the formula and use your GDC to find the value of the term
  • Sometimes you will be given a term and asked to find the first term or the common ratio
    • Substitute the information into the formula and solve the equation
      • You could use your GDC for this
  • Sometimes you will be given two or more consecutive terms and asked to find both the first term and the common ratio
    • Find the common ratio by dividing a term by the one before it
    • Substitute this and one of the terms into the formula to find the first term
  • Sometimes you may be given a term and the formula for the nth term and asked to find the value of n
    • You can solve these using logarithms on your GDC

 

Worked Example

The sixth term, u subscript 6, of a geometric sequence is 486 and the seventh term, u subscript 7, is 1458. 

Find,

i)
the common ratio, r, of the sequence,

ai-sl-1-2-3-geo-seq-i

 

ii)
the first term of the sequence, u subscript 1.

ai-sl-1-2-3-geo-seq-ii

Geometric Series

How do I find the sum of a geometric series?

  • A geometric series is the sum of a certain number of terms in a geometric sequence
    • For the geometric sequence 2, 6, 18, 54, … the geometric series is 2 + 6 + 18 + 54 + …
  • The following formulae will let you find the sum of the first n terms of a geometric series:

S subscript n equals fraction numerator u subscript 1 left parenthesis r to the power of n minus 1 right parenthesis over denominator r minus 1 end fraction equals space fraction numerator u subscript 1 left parenthesis 1 minus r to the power of n right parenthesis over denominator 1 minus r end fraction

      • u subscript 1 is the first term
      • r is the common ratio
    • Both formulae are given in the formula booklet, you do not need to know how to derive them
  • You can use whichever formula is more convenient for a given question
    • The first version of the formula is more convenient if r space greater than space 1 and the second is more convenient if r space less than space 1
  • A question will often give you the sum of a certain number of terms and ask you to find the value of the first term, the common ratio, or the number of terms within the sequence
    • Substitute the information into the formula and solve the equation
      • You could use your GDC for this

Worked Example

A geometric sequence has u subscript 1 space equals space 25 and r space equals space 0.8.  Find the value of u subscript 5 and S subscript 5.

ai-sl-1-2-3-geo-series

Sum to Infinity

What is the sum to infinity of a geometric series?

  • A geometric sequence will either increase or decrease away from zero or the terms will get progressively closer to zero
    • Terms will get closer to zero if the common ratio, r, is between 1 and -1
  • If the terms are getting closer to zero then the series is said to converge
    • This means that the sum of the series will approach a limiting value
    • As the number of terms increase, the sum of the terms will get closer to the limiting value

 

How do we calculate the sum to infinity?

  • If asked to find out if a geometric sequence converges find the value of r
    • If vertical line r vertical line space space less than space 1 space  then the sequence converges
    • If vertical line r vertical line space space greater or equal than space 1 space then the sequence does not converge and the sum to infinity cannot be calculated
    • vertical line r vertical line space less than space 1 spacemeans negative 1 space less than space r space less than space 1 space
  • If vertical line r vertical line space less than space 1, then the geometric series converges to a finite value given by the formula

S subscript infinity equals fraction numerator u subscript 1 over denominator 1 minus r end fraction space comma space blank open vertical bar r close vertical bar less than 1

    • u subscript 1 is the first term
    • r is the common ratio
    • This is in the formula book, you do not need to remember it

Worked Example

The first three terms of a geometric sequence are  6 space comma space space 2 space comma space space 2 over 3.  Explain why the series converges and find the sum to infinity.

1-3-3-aa-sl-sum-to-infinity-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.