Unit 3: Trigonometric & Polar Functions
Sinusoidal Modeling
Fitting a sinusoidal function to periodic context and data.
Fitting a Wave to a Repeating Pattern
Exponential and logistic models both describe quantities that settle toward a fixed value. Some quantities never settle — they rise and fall on a predictable, repeating cycle instead. Before reading on: what four numbers would you need to pin down, to build a sine or cosine model of a repeating pattern from just its highest and lowest values and how often it repeats?
Definition — Sinusoidal Model
Worked Example — Modeling Periodic Temperature Data
Worked Example — Choosing Sine, Cosine, or a Negative, Based on the Starting Value
Graph Visualizer
Domain & range
Evaluate a point
- x^2 = 0
Tip
Common Mistakes
Computing period directly as B, instead of solving B = 2π/period.
B is not the period — it's 2π divided by the period. A period of 8 gives B = 2π/8 = π/4, a much smaller number than 8 itself.
Setting C equal to whatever x-value is mentioned first in the problem, regardless of whether that's a maximum.
In y = A·cos(B(x − C)) + D, C must specifically be an x-value where the function reaches its maximum — using a different reference point requires switching to sin, −sin, or −cos instead, or solving for a genuine phase shift.
Key Takeaways
- Amplitude A = (max − min)/2 and midline D = (max + min)/2 come directly from a sinusoid's highest and lowest values.
- Period determines B through B = 2π/period; a shorter period means a larger B and a faster-repeating wave.
- Whether the pattern starts at a maximum, a minimum, or the midline determines which of cos, −cos, sin, or −sin fits without an extra phase-shift calculation.
Summary
A sinusoidal model turns a repeating pattern into an equation. The next lesson works in the other direction — starting from a trigonometric equation and finding every input that satisfies it.
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