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Modelling with Trigonometric Functions Simplified Revision Notes

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5.9.1 Modelling with Trigonometric Functions

Modelling with trigonometric functions involves using sine, cosine, and tangent functions to describe real-world phenomena that exhibit periodic behaviour, such as waves, oscillations, and circular motion. These models are particularly powerful in physics, engineering, and environmental science.

1. Identifying the Real-World Scenario:

  • Trigonometric functions are ideal for modelling scenarios where something repeats over time or space. Examples include:
    • Oscillations: Such as the motion of a pendulum, springs, or sound waves.
    • Waves: Including light waves, water waves, or electromagnetic waves.
    • Circular motion: The rotation of a wheel, the orbit of planets, or the movement of a Ferris wheel.

2. General Form of Trigonometric Models:

  • The basic form for modelling a periodic phenomenon with a sine or cosine function is: y(t)=Asin(Bt+C)+Dory(t)=Acos(Bt+C)+Dy(t) = A \sin(Bt + C) + D \quad \text{or} \quad y(t) = A \cos(Bt + C) + D Where:
    •  y(t)\ y(t) is the quantity being modelled (e.g., displacement, height, etc.).
    •  t\ t is the independent variable (often time).
    • AA is the amplitude, which represents the maximum value of  y\ y from its mean position.
    •  B\ B is related to the frequency or period of the function. The period T T is given by  T=2πB.\ T = \frac{2\pi}{B} .
    •  C\ C is the phase shift, which indicates how the function is shifted horizontally.
    •  D\ D is the vertical shift, which moves the entire graph up or down.

3. Steps in Modelling with Trigonometric Functions:

  • Understand the Problem
  • Choose the Appropriate Trigonometric Function
  • Determine the Parameters AA, BB, CC, and DD
  • Write the Trigonometric Model
  • Interpret and Use the Model

Step 1: Understand the Problem

  • Identify the periodic behaviour in the scenario.
  • Determine what is being measured (e.g., height, distance, angle) and how it varies over time or space.

Step 2: Choose the Appropriate Trigonometric Function

  • Decide whether to use a sine or cosine function based on the starting point of the cycle:
    • Use sine if the function starts at the midline (e.g., y=0 when t=0\ y = 0 \ when \ t = 0).
    • Use cosine if the function starts at a maximum or minimum.

Step 3: Determine the Parameters AA, B, B , CC, and DD

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  • Amplitude  A\ A : Find the maximum and minimum values of  y(t)\ y(t) . The amplitude is  A=maxmin2.\ A = \frac{\text{max} - \text{min}}{2} .
  • Period  T\ T : Identify how long it takes for one complete cycle. Calculate B\ B using  B=2πT.\ B = \frac{2\pi}{T} .
  • Phase Shift  C\ C : Determine where the cycle starts. If it's shifted from the standard position, find  C\ C using the known start of the cycle.
  • Vertical Shift  D\ D : Calculate the average of the maximum and minimum values to find  D=max+min2.\ D = \frac{\text{max} + \text{min}}{2} .

Step 4: Write the Trigonometric Model

  • Substitute the values of  A B Cand D\ A \, \ B \, \ C \, and \ D into the general equation to get the specific model for the problem.

Step 5: Interpret and Use the Model

  • Use the model to make predictions, analyse the behaviour over time, or understand the relationship between variables.

4. Example of Modelling with Trigonometric Functions:

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Example 1: Modelling the Height of a Ferris Wheel

  • Problem: A Ferris wheel with a radius of 10 meters completes one full rotation every 30 seconds. The bottom of the wheel is 2 meters above the ground. Model the height  h(t)\ h(t) of a person on the wheel as a function of time  t\ t .

  • Solution:
  • Amplitude  A\ A : The radius of the Ferris wheel is the amplitude, so  A=10\ A = 10 meters.
  • Period T\ T: The wheel completes one full rotation every 3030 seconds, so  T=30\ T = 30 seconds. Calculate BB: B=2πT=2π30=π15B = \frac{2\pi}{T} = \frac{2\pi}{30} = \frac{\pi}{15}
  • Phase Shift CC: If we assume the person starts at the bottom of the wheel, we use a cosine function with a phase shift of  π\ \pi (since cosine starts at the maximum, and the person is at the minimum): C=πC = \pi
  • Vertical Shift  D\ D : The centre of the Ferris wheel is 12 meters above the ground (1010 meters of radius plus 22 meters from the ground). So, D=12\ D = 12 meters.
  • Model: h(t)=10cos(π15t+π)+12h(t) = 10 \cos\left(\frac{\pi}{15} t + \pi\right) + 12
  • Interpretation: This model describes the height of the person above the ground as they rotate on the Ferris wheel.
infoNote

Example 2: Modelling Daylight Hours

  • Problem: The number of daylight hours in a city varies throughout the year, with a minimum of 8 hours in winter and a maximum of 16 hours in summer. Model the daylight hours  H(t)\ H(t) as a function of time  t\ t in months, where  t=0\ t = 0 represents January.

  • Solution:
  • Amplitude  A\ A : The variation in daylight hours is  168=8\ 16 - 8 = 8 hours, so the amplitude is  A=4\ A = 4 hours.
  • Period  T\ T : The daylight cycle repeats annually, so  T=12\ T = 12 months. Calculate  B:\ B : B=2π12=π6B = \frac{2\pi}{12} = \frac{\pi}{6}
  • Phase Shift  C\ C : If the maximum daylight occurs in June (month 6), and we assume t=0t = 0 is January, the phase shift is  C=π2 (since (cos(π66)=1)\ C = -\frac{\pi}{2} \ (since \ ( \cos(\frac{\pi}{6} \cdot 6) = 1 ) occurs at  (t=6)\ ( t = 6 ).
  • Vertical Shift DD: The average daylight is  D=16+82=12\ D = \frac{16 + 8}{2} = 12 hours.
  • Model: H(t)=4cos(π6tπ2)+12H(t) = 4 \cos\left(\frac{\pi}{6} t - \frac{\pi}{2}\right) + 12
  • Interpretation: This model describes the variation in daylight hours over the course of the year.

5. Applications of Trigonometric Modelling:

  • Physics: Modelling wave motion, pendulum swings, and alternating current (AC) circuits.
  • Biology: Modelling biological rhythms, such as heartbeats or circadian cycles.
  • Economics: Modelling seasonal variations in economic indicators.
  • Environmental Science: Predicting tidal patterns, seasonal temperature variations, and other natural cycles.

Summary:

infoNote
  • Modelling with trigonometric functions allows you to represent periodic phenomena in various fields.
  • By identifying key parameters such as amplitude, period, phase shift, and vertical shift, you can construct a mathematical model that describes the behaviour of the system over time.
  • These models are not only useful for prediction but also for understanding the underlying mechanics of periodic systems.
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