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DP IB Maths: AI SL

Revision Notes

Home / IB / Maths: AI SL / DP / Revision Notes / 5. Calculus / 5.2 Integration / 5.2.2 Introduction to Integration


5.2.2 Introduction to Integration


Introduction to Integration

What is integration?

  • Integration is the opposite to differentiation
    • Integration is referred to as antidifferentiation
    • The result of integration is referred to as the antiderivative
  • Integration is the process of finding the expression of a function (antiderivative) from an expression of the derivative (gradient function)

What is the notation for integration?

  • An integral is normally written in the form

integral straight f left parenthesis x right parenthesis space straight d x 

    • the large operator integral means “integrate”
    • “straight d x” indicates which variable to integrate with respect to
    • straight f left parenthesis x right parenthesis is the function to be integrated (sometimes called the integrand)
  • The antiderivative is sometimes denoted by straight F left parenthesis x right parenthesis
    • there’s then no need to keep writing the whole integral; refer to it as straight F left parenthesis x right parenthesis
  • straight F left parenthesis x right parenthesis may also be called the indefinite integral of straight f left parenthesis x right parenthesis

What is the constant of integration? 

  • Recall one of the special cases from Differentiating Powers of x
    • If straight f left parenthesis x right parenthesis equals a then straight f apostrophe left parenthesis x right parenthesis equals 0
  • This means that integrating 0 will produce a constant term in the antiderivative
    • a zero term wouldn’t be written as part of a function
    • every function, when integrated, potentially has a constant term
  • This is called the constant of integration and is usually denoted by the letter c
    • it is often referred to as “plus c”
  • Without more information it is impossible to deduce the value of this constant
    • there are endless antiderivatives, straight F left parenthesis x right parenthesis, for a function straight f left parenthesis x right parenthesis

Integrating Powers of x

How do I integrate powers of x? 

  • Powers of x are integrated according to the following formula:
    • If  then  where  and c is the constant of integration

  • This is given in the formula booklet
  • If the power of is x multiplied by a constant then the integral is also multiplied by that constant
    • If straight f left parenthesis x right parenthesis equals a x to the power of n then  where ,  a is a constant and c is the constant of integration
  • This is also given in the formula booklet
  • fraction numerator straight d y over denominator straight d x end fraction notation can still be used with integration
  • Note that the formulae above do not apply when n equals negative 1 as this would lead to division by zero
  • Don’t forget the special case:
    • integral a space straight d x equals a x plus c
      • e.g.  integral 4 space straight d x equals 4 x plus c
    • This allows constant terms to be integrated
  • Functions involving fractions with denominators in terms of x will need to be rewritten as negative powers of x first
    • e.g.  If straight f left parenthesis x right parenthesis equals 4 over x squared then rewrite as straight f left parenthesis x right parenthesis equals 4 x to the power of negative 2 end exponent and integrate

How do I integrate sums and differences of powers of x?

  • The formulae for integrating powers of x apply to all integers so it is possible to integrate any expression that is a sum or difference of powers of x
    • e.g.  If Error converting from MathML to accessible text. then integral straight f left parenthesis x right parenthesis space straight d x equals fraction numerator 8 x to the power of 3 plus 1 end exponent over denominator 3 plus 1 end fraction minus fraction numerator 2 x to the power of 1 plus 1 end exponent over denominator 1 plus 1 end fraction plus 4 x plus c equals 2 x to the power of 4 minus x squared plus 4 x plus c
  • Products and quotients cannot be integrated in this way so would need expanding/simplifying first
    • e.g. If  then integral straight f left parenthesis x right parenthesis space straight d x equals integral left parenthesis 16 x cubed minus 24 x squared right parenthesis space straight d x equals fraction numerator 16 x to the power of 4 over denominator 4 end fraction minus fraction numerator 24 x cubed over denominator 3 end fraction plus c equals 4 x to the power of 4 minus 8 x cubed plus c
       

Exam Tip

  • You can speed up the process of integration in the exam by committing the pattern of basic integration to memory
    • In general you can think of it as 'raising the power by one and dividing by the new power'
    • Practice this lots before your exam so that it comes quickly and naturally when doing more complicated integration questions

Worked Example

Given that

fraction numerator straight d y over denominator straight d x end fraction equals 3 x to the power of 4 minus 2 x squared plus 3 minus 1 over x to the power of 4

find an expression for y in terms of x.

5-2-2-ib-sl-ai-aa-we-soltn



  • 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
                                                                                                                      Paul Freeman

                                                                                                                      Author: Paul

                                                                                                                      Paul has taught mathematics for 20 years and has been an examiner for Edexcel for over a decade. GCSE, A level, pure, mechanics, statistics, discrete – if it’s in a Maths exam, Paul will know about it. Paul is a passionate fan of clear and colourful notes with fascinating diagrams – one of the many reasons he is excited to be a member of the SME team.


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