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IB DP Maths: AI SL

Revision Notes

Home / DP / Maths: AI SL / IB / Revision Notes / 3. Geometry & Trigonometry / 3.3 Trigonometry / 3.3.2 Non Right-Angled Trigonometry


3.3.2 Non Right-Angled Trigonometry


Sine Rule

What is the sine rule?

  • The sine rule allows us to find missing side lengths or angles in non-right-angled triangles
  • It states that for any triangle with angles A, B and C

begin mathsize 22px style fraction numerator a over denominator sin space A blank end fraction equals blank fraction numerator b over denominator sin space B end fraction equals blank fraction numerator c over denominator sin space C blank end fraction end style

    • Where
      • a is the side opposite angle A
      • b is the side opposite angle B
      • c is the side opposite angle C
  • This formula is in the formula booklet, you do not need to remember it
  • Sin 90° = 1 so if one of the angles is 90° this becomes SOH from SOHCAHTOA

Non-Right-Angled Triangles Diagram 1a

How can we use the sine rule to find missing side lengths or angles?

  • The sine rule can be used when you have any opposite pairs of sides and angles
  • Always start by labelling your triangle with the angles and sides
    • Remember the sides with the lower-case letters are opposite the angles with the equivalent upper-case letters
  • Use the formula in the formula booklet to find the length of a side
  • To find a missing angle you can rearrange the formula and use the form

fraction numerator sin space A blank over denominator a end fraction equals blank fraction numerator sin space B blank over denominator b end fraction equals blank fraction numerator sin space C blank over denominator c end fraction

    • This is not in the formula booklet but can easily be found by rearranging the one given
  • Substitute the values you have into the formula and solve

Worked Example

The following diagram shows triangle ABC.  AB space equals space 8.1 space cm, AC space equals space 12.3 space cm, straight B straight C with hat on top straight A equals 27 degree.

3-3-2-sine-rule-we-question

Use the sine rule to calculate the value of:

i)
x,

 3-3-2-ai-sl-sine-rule-we-solution-i

ii)
y.

3-3-2-ai-sl-sine-rule-we-solution-ii

Cosine Rule

What is the cosine rule?

  • The cosine rule allows us to find missing side lengths or angles in non-right-angled triangles
  • It states that for any triangle

size 22px c to the power of size 22px 2 size 22px space size 22px equals size 22px space size 22px a to the power of size 22px 2 size 22px space size 22px plus size 22px space size 22px b to the power of size 22px 2 size 22px space size 22px minus size 22px space size 22px 2 size 22px a size 22px b size 22px cos size 22px C   ;     begin mathsize 22px style cos space C blank equals blank fraction numerator a to the power of 2 blank end exponent plus blank b squared minus blank c squared over denominator 2 a b end fraction end style

    • Where
      • c is the side opposite angle C
      • a and b are the other two sides
  • Both of these formulae are in the formula booklet, you do not need to remember them
    • The first version is used to find a missing side
    • The second version is a rearrangement of this and can be used to find a missing angle
  • Cos 90° = 0 so if C = 90° this becomes Pythagoras’ Theorem

How can we use the cosine rule to find missing side lengths or angles?

  • The cosine rule can be used when you have two sides and the angle between them or all three sides
  • Always start by labelling your triangle with the angles and sides
    • Remember the sides with the lower-case letters are opposite the angles with the equivalent upper-case letters
  • Use the formula c squared space equals space a squared space plus space b squared space minus space 2 a b cos C to find an unknown side
  • Use the formula cos space C blank equals blank fraction numerator a to the power of 2 blank end exponent plus blank b squared space minus blank c squared over denominator 2 a b end fraction  to find an unknown angle
    • C is the angle between sides a and b
  • Substitute the values you have into the formula and solve

Worked Example

The following diagram shows triangle ABC. AB space equals space 4.2 space km, BC space equals space 3.8 space km, AC space equals space 7.1 space km.

3-3-2-cosine-rule-we-question

Calculate the value of straight A straight B with hat on top straight C.

3-3-2-ai-sl-cosine-rule-we-solution

Area of a Triangle

How do I find the area of a non-right triangle?

  • The area of any triangle can be found using the formula

A space equals space 1 half a b sin C

    • Where C is the angle between sides a and b
    • This formula is in the formula booklet, you do not need to remember it
  • Be careful to label your triangle correctly so that C is always the angle between the two sides
  • Sin 90° = 1 so if C = 90° this becomes Area = ½ × base × height

 

Non-Right-Angled Triangles Diagram 2

Worked Example

The following diagram shows triangle ABC. AB space equals space 32 space cm, AC space equals space 1.1 space straight m, B A with hat on top straight C space equals space 74 degree.  3-3-2-area-rule-we-question

Calculate the area of triangle .

3-3-2-ai-sl-area-rule-we-solution



  • 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


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                                                                                                                      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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