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DP IB Maths: AI SL

Revision Notes

Home / IB / Maths: AI SL / DP / Revision Notes / 1. Number & Algebra / 1.2 Sequences & Series / 1.2.3 Geometric Sequences & Series


1.2.3 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

 

Exam Tip

  • You will sometimes need to use logarithms to answer geometric sequences questions 
    • Make sure you are confident doing this
    • Practice using your GDC for different types of questions

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

Exam Tip

  • The geometric series formulae are in the formula booklet, you don't need to memorise them
    • Make sure you can locate them quickly in the formula booklet

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



  • 1. Number & Algebra
    • 1.1 Number Toolkit
      • 1.1.1 Standard Form
        • 1.1.2 Exponents & Logarithms
          • 1.1.3 Approximation & Estimation
            • 1.1.4 GDC: Solving Equations
            • 1.2 Sequences & Series
              • 1.2.1 Language of Sequences & Series
                • 1.2.2 Arithmetic Sequences & Series
                  • 1.2.3 Geometric Sequences & Series
                    • 1.2.4 Applications of Sequences & Series
                    • 1.3 Financial Applications
                      • 1.3.1 Compound Interest & Depreciation
                        • 1.3.2 Amortisation & Annuities
                      • 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 & Piecewise 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
                                          • 3. Geometry & Trigonometry
                                            • 3.1 Geometry Toolkit
                                              • 3.1.1 Coordinate Geometry
                                                • 3.1.2 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 Voronoi Diagrams
                                                            • 3.4.1 Voronoi Diagrams
                                                              • 3.4.2 Toxic Waste Dump Problem
                                                            • 4. Statistics & Probability
                                                              • 4.1 Statistics Toolkit
                                                                • 4.1.1 Sampling & Data Collection
                                                                  • 4.1.2 Statistical Measures
                                                                    • 4.1.3 Frequency Tables
                                                                      • 4.1.4 Linear Transformations of Data
                                                                        • 4.1.5 Outliers
                                                                          • 4.1.6 Univariate Data
                                                                            • 4.1.7 Interpreting Data
                                                                            • 4.2 Correlation & Regression
                                                                              • 4.2.1 Bivariate data
                                                                                • 4.2.2 Correlation Coefficients
                                                                                  • 4.2.3 Linear Regression
                                                                                  • 4.3 Probability
                                                                                    • 4.3.1 Probability & Types of Events
                                                                                      • 4.3.2 Conditional Probability
                                                                                        • 4.3.3 Sample Space Diagrams
                                                                                        • 4.4 Probability Distributions
                                                                                          • 4.4.1 Discrete Probability Distributions
                                                                                            • 4.4.2 Expected Values
                                                                                            • 4.5 Binomial Distribution
                                                                                              • 4.5.1 The Binomial Distribution
                                                                                                • 4.5.2 Calculating Binomial Probabilities
                                                                                                • 4.6 Normal Distribution
                                                                                                  • 4.6.1 The Normal Distribution
                                                                                                    • 4.6.2 Calculations with Normal Distribution
                                                                                                    • 4.7 Hypothesis Testing
                                                                                                      • 4.7.1 Hypothesis Testing
                                                                                                        • 4.7.2 Chi-squared Test for Independence
                                                                                                          • 4.7.3 Goodness of Fit Test
                                                                                                            • 4.7.4 The t-test
                                                                                                          • 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 Integration
                                                                                                                    • 5.2.1 Trapezoid Rule: Numerical Integration
                                                                                                                      • 5.2.2 Introduction to Integration
                                                                                                                        • 5.2.3 Applications of Integration
                                                                                                                      Amber Perry

                                                                                                                      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.


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