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Physics III course sequence · Interactive lesson

Beats as amplitude modulation

Two tones a few hertz apart do not add a third tone to the air. They add to a single tone whose loudness breathes, and the breathing rate is the full frequency difference — a fact you can count by ear and tune an instrument by to about one part in ten thousand.

UPIII-03.05 · Lesson 5 of 9 in this unit. Position is not a completion score.
Starting model: Beats as amplitude modulationOne second of the pressure signal from tones at 12.5 Hz and 15.5 Hz, drawn solid inside the dashed envelope √(A₁² + A₂² + 2A₁A₂ cos 2πΔf t). With A₂/A₁ = 1.00 the envelope swells to 2.00 and falls back to 0.00, and one beat lasts 0.33 s holding 4.7 carrier cycles.f₁ = 12.5 Hz f₂ = 15.5 HzA₂/A₁ = 1.00solid y = A₁ cos 2πf₁t + A₂ cos 2πf₂tdashed envelopeA₁ + A₂ = 2.00|A₁ − A₂| = 0.00one beat = 0.33 st = 1.00 s
Start with a picture. Change the model in the lab below.
1

Build the model

Two close frequencies make one tone that breathes.

The key idea

A beat is the slow rise and fall in loudness heard when two waves of nearly equal frequency overlap, repeating at a rate equal to the difference between the two frequencies.

Example. A 440.0 Hz fork sounded beside a string at 443.0 Hz gives a tone at the mean 441.5 Hz whose loudness rises and falls 3.0 times a second, one swell every 0.33 s.

The complete physical model and assumptions

Add two cosines of nearby frequency and the sum-to-product identity rewrites them as one fast oscillation at the mean frequency f₀ = (f₁ + f₂)/2 multiplied by a slow factor cos(π Δf t). Nothing has been added or lost: the identity is exact algebra, and the wave still contains exactly the two frequencies that went in. What changes is which description is useful. When Δf ≪ f₀, hundreds of carrier cycles fit inside one slow lobe, so an ear or a meter never resolves the individual cycles and reports only the slowly varying amplitude — a tone that swells and dies. The rate of that swelling is the full difference |f₁ − f₂|, not half of it, because loudness follows the magnitude of the envelope and a magnitude peaks twice per cycle of cos(π Δf t). The deeper point is that the beat is not in the wave; it is in the detector. A linear instrument sees two spectral lines and nothing else. Squaring the signal — which is what any energy-sensitive detector does — multiplies the two components together and generates a genuine component at Δf, the same mixing step a heterodyne receiver buys with a nonlinear diode. The picture collapses when Δf stops being small: once only a couple of carrier cycles fit inside a lobe, carrier and envelope name nothing, and a listener hears two pitches rather than one that breathes.

1Turn the sum into a product

Two sources of equal amplitude give y = A cos(2πf₁t) + A cos(2πf₂t). The sum-to-product identity cos X + cos Y = 2 cos((X − Y)/2) cos((X + Y)/2) rewrites it as y = 2A cos(π Δf t) cos(2πf₀t), with f₀ = (f₁ + f₂)/2 and Δf = f₂ − f₁, the higher tone minus the lower; cosine is even, so the slow factor does not care which way round the difference is taken. Take f₁ = 440.0 Hz and f₂ = 444.0 Hz: then f₀ = 442.0 Hz and Δf = 4.0 Hz, so y = 2A cos(2π × 2.0 t) cos(2π × 442.0 t). Read that as an oscillation at 442.0 Hz whose amplitude is the slowly changing number 2A cos(2π × 2.0 t). Nothing was approximated; the identity holds for any pair of frequencies. What makes the reading useful is the ratio of scales: 110 carrier cycles fit inside one beat here, far more than an ear can resolve one at a time, so it registers the amplitude and not the cycles.

2Why the beat rate is the whole difference

The slow factor cos(π Δf t) has frequency Δf/2, which is 2.0 Hz in the example above. The beat rate is 4.0 Hz. The factor of two is not a slip: loudness depends on the size of the amplitude and not on its sign, so the envelope is 2A|cos(π Δf t)|, and the vertical bars halve the period. Follow the zeros. The cosine vanishes when π Δf t = π/2, 3π/2, 5π/2, …, that is at t = 1/(2Δf), 3/(2Δf), 5/(2Δf), …, spaced 1/Δf apart. With Δf = 4.0 Hz the silences fall at 0.125 s, 0.375 s, 0.625 s and 0.875 s: four of them per second. Between consecutive silences the tone swells to 2A and dies again. The carrier flips sign at each silence, and no detector of loudness can tell.

3The beat is made in the detector, not the medium

Decompose the sum into frequencies and you find exactly two, f₁ and f₂. The Fourier content of A cos(2πf₁t) + A cos(2πf₂t) has nothing at Δf, and no linear device — an ideal amplifier, a linear medium, a spectrum analyser — can produce one, because a linear system returns only the frequencies it is given. Squaring breaks that rule. Square the equal-amplitude pair at 500.0 Hz and 506.0 Hz: the cross term 2A² cos(2π × 500.0 t) cos(2π × 506.0 t) becomes A²[cos(2π × 6.0 t) + cos(2π × 1006.0 t)], while the two squared terms contribute a constant plus lines at 1000.0 Hz and 1012.0 Hz. The 6.0 Hz line is new. Any energy-sensitive detector — the ear, a microphone feeding a power meter, a photodiode — performs that squaring, which is why the beat is audible at all, and why a heterodyne receiver needs a nonlinear mixer rather than a better amplifier.

4Unequal amplitudes lift the nulls off zero

Silence at a beat minimum needs exact cancellation, so it needs equal amplitudes. In general the resultant amplitude is Aₑₙᵥ = √(A₁² + A₂² + 2A₁A₂ cos 2πΔf t), which swings between A₁ + A₂ and |A₁ − A₂|. Take A₁ = 1.00 and A₂ = 0.80 in the same unit: the envelope runs from 1.80 down to 0.20 and never reaches zero. Intensity goes as amplitude squared, so the loud-to-quiet intensity ratio is (1.80/0.20)² = 81, a level swing of 10 log₁₀ 81 = 19.1 dB — dramatic, but finite. Averaging over a few carrier cycles gives an intensity proportional to A₁² + A₂² + 2A₁A₂ cos 2πΔf t, so the fractional swing about its mean is m = 2A₁A₂/(A₁² + A₂²) = 1.60/1.64 = 0.976. Equal amplitudes give m = 1 and true silence; a badly mismatched pair gives a beat you have to strain to notice.

5Tuning by nulling, and the sign you cannot hear

Beats give the sharpest frequency comparison available to an unaided ear. Judging pitch directly is good to roughly half a per cent; counting beats against a reference is limited only by how long you will listen, because a mismatch Δf needs 1/Δf to show one swell. Hold the note 20 s with no swell and the mismatch is bounded at 0.050 Hz, which is 1.1 × 10⁻⁴ of 440 Hz. The catch is that a beat rate carries |Δf| and not its sign: 3.0 beats per second against a 440.0 Hz fork means 437.0 Hz or 443.0 Hz. Resolve it with a deliberate perturbation. Tighten the string slightly; since f ∝ √F, a fractional tension change gives Δf/f = ΔF/2F, so 3.0 Hz at 440 Hz is 1.4% of tension. If the beat rate rises, the string was already sharp and you must go back. Nulling from 443.0 Hz needs the tension cut by 1 − (440.0/443.0)² = 1.35%.

6Where a beat stops being a beat

The product form is exact algebra, but carrier and envelope are physical names that need Δf ≪ f₀. Count carrier cycles per beat, N = f₀/Δf. At 500.0 Hz and 506.0 Hz, N = 83.8, an unmistakable slow throb. At 500.0 Hz and 300.0 Hz the same algebra returns f₀ = 400.0 Hz and Δf = 200.0 Hz, so N = 2: the envelope completes half a cycle while the carrier completes one, and nobody hears a single throbbing tone. Hearing crosses over in stages — below about 15 Hz of separation the pair fuses into one tone whose loudness fluctuates, above that it turns rough, and once Δf exceeds the critical bandwidth, of order 10 to 20 per cent of the centre frequency, the two tones are heard apart. A related limit binds any instrument: resolving two frequencies Δf apart takes an observation of at least about 1/Δf, so a 0.10 Hz mismatch cannot be found inside a 2 s note.

2

Key equations

Read the units, assumptions and limits before substituting.

Two tones as carrier times envelope

y(t) = 2A cos(π Δf t) cos(2π f₀ t)

Exact algebra from cos X + cos Y, true for any Δf, but only worth reading this way when Δf ≪ f₀.

A is the common amplitude, f₀ = (f₁ + f₂)/2 in Hz, Δf = f₂ − f₁ in Hz with f₂ the higher tone, t in s

Beat frequency

fbeat = |f₁ − f₂|

Gives the rate of loudness maxima, and its reciprocal is the time between two silences.

fbeat in Hz: the full difference, not the Δf/2 of the slow factor

Envelope of the resultant amplitude

Aₑₙᵥ(t) = √(A₁² + A₂² + 2A₁A₂ cos 2πΔf t)

Exact for unequal amplitudes: it peaks at A₁ + A₂ and dips to |A₁ − A₂|, never lower.

A₁ and A₂ are the two amplitudes in one unit, Pa for sound; Aₑₙᵥ carries that unit

What a square-law detector hears

⟨y²⟩ = A²[1 + cos(2π Δf t)]

The Δf term is absent from y and created by the squaring: the detector makes the beat.

equal amplitudes A; ⟨ ⟩ averages over a few carrier periods, so ⟨y²⟩ is in (unit of y)²

Modulation depth

m = 2A₁A₂/(A₁² + A₂²)

m = 1 only when A₁ = A₂. Any mismatch leaves the quiet moments clearly audible.

dimensionless, 0 ≤ m ≤ 1; the fractional swing of the cycle-averaged intensity about its mean

Carrier cycles inside one beat

N = f₀/Δf

Below N of a few there is no slow envelope to name, and two separate pitches are heard.

N is dimensionless, counting carrier cycles in one beat period 1/Δf
3

Interactive lab

Predict first. Explore the model. Compare the result.

Explore the model

14 Hz
8 to 20 Hz; steps of 2.
3 Hz
1 to 8 Hz; steps of 1.
1.0
0 to 1; steps of 0.1.

Try this. Set Δf to 1 Hz and count carrier cycles between silences, then push Δf to 8 Hz and watch the envelope lose its meaning as only one or two carrier cycles fit a beat. Dropping A₂/A₁ below 1 lifts the nulls off the axis: the beat never reaches silence.

Live results

LOWER TONE f₁
12.5 Hz
BEAT PERIOD 1/Δf
0.33 s
CARRIER CYCLES PER BEAT
4.7
MODULATION DEPTH m
1.00

Results follow this lesson’s model and assumptions. Displayed values are rounded.

Interactive Physics III modelOne second of the pressure signal from tones at 12.5 Hz and 15.5 Hz, drawn solid inside the dashed envelope √(A₁² + A₂² + 2A₁A₂ cos 2πΔf t). With A₂/A₁ = 1.00 the envelope swells to 2.00 and falls back to 0.00, and one beat lasts 0.33 s holding 4.7 carrier cycles.f₁ = 12.5 Hz f₂ = 15.5 HzA₂/A₁ = 1.00solid y = A₁ cos 2πf₁t + A₂ cos 2πf₂tdashed envelopeA₁ + A₂ = 2.00|A₁ − A₂| = 0.00one beat = 0.33 st = 1.00 s
One second of the pressure signal from tones at 12.5 Hz and 15.5 Hz, drawn solid inside the dashed envelope √(A₁² + A₂² + 2A₁A₂ cos 2πΔf t). With A₂/A₁ = 1.00 the envelope swells to 2.00 and falls back to 0.00, and one beat lasts 0.33 s holding 4.7 carrier cycles.

Predict → change one variable → check

Plan a change before running it. Every other input stays at the saved baseline.

Saved baseline. Carrier (mean) frequency f₀: 14 Hz; Frequency difference Δf: 3 Hz; Amplitude ratio A₂/A₁: 1.0

Baseline 14; choose 8 to 20, in steps of 2.
4. Compared with the saved baseline, this result will…

This experiment is kept only while this page is open. It does not change saved course progress.

4

Catch the common trap

The commonest error is to halve the answer. Students write the sum as 2A cos(2π(Δf/2)t) cos(2πf₀t), read the frequency of the slow factor straight off as Δf/2, and quote that as the beat frequency — for 440.0 Hz against 444.0 Hz they say 2.0 beats per second instead of 4.0. The slow factor really does oscillate at Δf/2, but what a listener hears is its magnitude. The envelope 2A|cos(π Δf t)| touches zero every time that cosine changes sign, which happens twice per cosine cycle, so silences and swells arrive at the full Δf. The algebra agrees: the cycle-averaged square is A²[1 + cos(2π Δf t)], whose only slow frequency is Δf. A second, related error is to picture the beat as a third tone present in the air. Feed the sum to a spectrum analyser and you will find lines at f₁ and f₂ alone.

5

Practice & worked examples

3 authored examples. Make an attempt, then reveal the reasoning one step at a time.

EasyExample 1

Two flutes hold steady notes. A listener counts 18 swells of loudness in 12.0 s, and one flute is known to sound 349.0 Hz. Find the beat frequency, both frequencies the second flute could have, and the frequency of the slow factor cos(π Δf t) in each case.

Sketch your answer or reasoning, then compare it with the authored solution. Your writing is not automatically graded or saved.

0 of 4 steps revealed.

MediumExample 2

A piano string sounds 443.0 Hz against a 440.0 Hz fork. (a) State the beat rate. (b) The tuner raises the tension by 0.50%; using f ∝ √F, find the new beat rate and say whether the adjustment went the right way. (c) Find the fractional tension change that nulls the beat from the original state. (d) After tuning, no swell is heard in 20 s; bound the mismatch that remains.

Sketch your answer or reasoning, then compare it with the authored solution. Your writing is not automatically graded or saved.

0 of 4 steps revealed.

HardExample 3

Two loudspeakers give pressure amplitudes of 20.0 mPa at 500.0 Hz and 12.0 mPa at 506.0 Hz at one microphone. Find the beat frequency and the number of carrier cycles inside one beat, the loudest and quietest pressure amplitudes, the modulation depth of the cycle-averaged intensity, and the sound level difference between the loud and quiet moments.

Sketch your answer or reasoning, then compare it with the authored solution. Your writing is not automatically graded or saved.

0 of 5 steps revealed.

6

Quick check

Select an answer and explain it before checking.

Two flutes hold steady notes of 440.0 Hz and 446.0 Hz at equal amplitude. The same microphone signal is fed to a spectrum analyser, which is linear, and to a loudness meter, which responds to the square of the pressure. What does each instrument report?
7

Review & continue

A beat is the slow rise and fall in loudness heard when two waves of nearly equal frequency overlap, repeating at a rate equal to the difference between the two frequencies.

  • Explain the relationship without looking at the equation.
  • Check a sign, a unit and a model assumption in your working.
  • Return to the lab or worked example if a step is still unclear.

Optional supporting lessons

These chapter resources can help with earlier ideas; they are not additional required Physics III completion tasks.

Extra challenging questions

Connect several ideas, explore supplied data, and compare your reasoning with a worked solution.