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Periodic phenomena

Tides, heartbeats, ferris wheels, seasons: some quantities do not settle down or run away, they repeat. A function is periodic when its entire pattern recurs on a fixed interval. This topic is about seeing the repeat: how long one cycle is, what level the oscillation centers on, how far it swings, and how to use one measured cycle to predict values far into the future.

§1

What counts as periodic.

A function f is periodic when there is a fixed length k with $f(x + k) = f(x)$ for every x in the domain: slide the graph k units and it lands exactly on itself. The smallest such k is the period. Once you know one full cycle, you know the function everywhere; that is the entire power of periodicity.

Be strict about the definition. A graph that wiggles but whose bumps grow, shrink, or drift is not periodic, and repeating values are not enough: the whole local pattern must recur. A function can hit the value 3 many times without any two stretches of graph matching.

§2

The three numbers that describe a cycle.

Repeating behavior gets summarized by three measurements, and each has a precise home on the graph:

  1. Period: the horizontal length of one full cycle. Measure between matching features: peak to next peak, trough to next trough, or any point to the next point where the pattern truly restarts. Peak to the NEXT TROUGH is only half a cycle.
  2. Midline: the horizontal center line the oscillation straddles, at the average of the maximum and minimum values: $k = (\max + \min)/2$.
  3. Amplitude: the vertical distance from the midline up to a peak (equivalently, down to a trough): $(\max - \min)/2$. It is half the total swing, never the full peak-to-trough distance, and never the peak's height above zero unless the midline happens to be zero.

Example: water depth at a pier oscillates between 2 m and 8 m. Midline: (8 + 2)/2 = 5 m. Amplitude: (8 − 2)/2 = 3 m. If high tides come 12 hours apart, the period is 12 hours; the high-to-low gap is only 6.

§3

Using the repeat: prediction by whole cycles.

Periodicity is a prediction machine. If the period is k, then the function's value at any time t equals its value at $t + k$, $t + 2k$, at $t$ plus any whole number of periods. To find a value far away, subtract whole periods until you land inside a cycle you know.

A ferris wheel completes a revolution every 8 minutes and a rider is at the top at t = 3. When are they next at the top? At t = 11, 19, 27, ..., every 8 minutes, full stop. The classic error is answering with half the period ("they come back around at t = 7") by confusing the top-to-bottom trip with the full loop. The second classic is counting the number of cycles wrong over a long interval: from t = 3 to t = 43 is 40 minutes, which is exactly 5 revolutions, so the rider is at the top again, not somewhere else.

§4

Period versus frequency.

Frequency counts cycles per unit of input; the period measures input per cycle. They are reciprocals: a wheel turning once every 4 seconds has frequency 1/4 revolution per second; a sound wave with frequency 440 cycles per second has period 1/440 seconds. Doubling the frequency halves the period.

Keep the units attached and the two cannot swap on you: period carries input units (seconds, hours, meters), frequency carries "per" units (per second, per hour). When Unit 3 later writes sinusoids as $\sin(bx)$, the b will be neither the period nor the frequency but a rate tied to both; the habit of asking "is this number an amount of input, or a count per input?" starts here.

§5

Skill Check.

Ten scenarios. Pick the chips that match your answer, then check. A scenario marks complete the first time every part is right. Progress saves on this device.

0 of 10 scenarios complete