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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 / 1.2.2 Arithmetic Sequences & Series


1.2.2 Arithmetic Sequences & Series


Arithmetic Sequences

What is an arithmetic sequence?

  • In an arithmetic sequence, the difference between consecutive terms in the sequence is constant
  • This constant difference is known as the common difference, d, of the sequence
    • For example, 1, 4, 7, 10, … is an arithmetic sequence with the rule ‘start at one and add three to each number’
      • The first term, u1, is 1
      • The common difference, d, is 3
    • An arithmetic sequence can be increasing (positive common difference) or decreasing (negative common difference)
    • Each term of an arithmetic sequence is referred to by the letter u with a subscript determining its place in the sequence

 

How do I find a term in an arithmetic sequence?

  • The nth term formula for an arithmetic sequence is given as

u subscript n equals u subscript 1 plus left parenthesis n minus 1 right parenthesis d

    • Where u subscript 1 is the first term, and d is the common difference
    • This 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 difference
    • Substitute the information into the formula and solve the equation
      • You could use your GDC for this
  • Sometimes you will be given two terms and asked to find both the first term and the common difference
    • Substitute the information into the formula and set up a system of linear equations
    • Solve the simultaneous equations
      • You could use your GDC for this

Exam Tip

  • Simultaneous equations are often needed within arithmetic sequence questions, make sure you are confident solving them with your GDC

Worked Example

The fourth term of an arithmetic sequence is 10 and the ninth term is 25, find the first term and the common difference of the sequence.

ai-sl-1-2-2-arit-sequences

Arithmetic Series

How do I find the sum of an arithmetic series?

  • An arithmetic series is the sum of the terms in an arithmetic sequence
    • For the arithmetic sequence 1, 4, 7, 10, … the arithmetic series is 1 + 4 + 7 + 10 + …
  • Use the following formulae to find the sum of the first n terms of the arithmetic series:

S subscript n equals n over 2 left parenthesis 2 u subscript 1 plus space left parenthesis n minus 1 right parenthesis d space right parenthesis space space space space semicolon space space space space S subscript n equals n over 2 left parenthesis u subscript 1 plus space u subscript n right parenthesis   

      • u subscript 1 is the first term
      • d is the common difference
      • u subscript n is the last term
    • 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
    • If you know the first term and common difference use the first version
    • If you know the first and last term then the second version is easier to use
  • 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 or the common difference
    • Substitute the information into the formula and solve the equation
      • You could use your GDC for this

Exam Tip

  • The formulae you need for arithmetic series are in the formula book, you do not need to remember them
    • Practice finding the formulae so that you can quickly locate them in the exam

Worked Example

The sum of the first 10 terms of an arithmetic sequence is 630.

a)
Find the common difference, d, of the sequence if the first term is 18.

ai-sl-1-2-2-arit-seriesa

 

b)
Find the first term of the sequence if the common difference, d, is 11.

ai-sl-1-2-2-arit-seriesb



  • 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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