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Sinusoids and Phasors · Lesson 4 of 6

Adding Sinusoids of Nearby Frequencies

15 min read3 ideas5 checks2 figures to playBy Asheshanand Acharya
What you will learn 0 / 3
Adding sinusoids of nearby frequencies
Maths you need
Look around
Tuning a sitar by ear

A musician tunes a sitar string against a tuning fork of \(256\,\text{Hz}\). With the string a little slack, the two notes together do not sound steady. The sound swells and fades, wah, wah, wah, a few times a second. As the musician tightens the string, the throbbing slows. When the string is exactly in tune, the throbbing stops and one steady note remains.

you will be able to say in advance how many throbs two notes give each second, and use the throbs to find an unknown frequency.

Two arms that turn at nearly the same rate

Give each note its phasor. The two arms now turn at slightly different rates, \(2\pi f_1\) and \(2\pi f_2\). The angle between them is no longer fixed. It grows steadily, by \(2\pi(f_2 - f_1)\) in each second. So the triangle of the two arms and their resultant keeps changing shape. When the arms line up, the resultant has its largest length \(a_1 + a_2\). When they point opposite ways, it has its smallest length \(|a_1 - a_2|\). For two equal arms the resultant swings from \(2A\) down to zero.

Now watch the two arms from a platform that turns with the first arm. On this platform the first arm stands still. The second arm turns slowly, at the difference of the two rates, \(\Delta f\) turns in each second. Every time it comes round to line up with the first arm, the sum is loud. Every time it points the opposite way, the sum is quiet.

Beats seen from the turning frameTwo sinusoids of equal amplitude a and nearby frequencies are drawn as phasors seen by an observer who turns with the first one, so the blue arrow stays still along the horizontal. The brown arrow, drawn from its tip, turns at the difference of the two frequencies, and its tip runs on a dashed circle. The orange resultant from O swells to 2a when the two arrows line up and shrinks to zero when they point opposite ways. On the right its length is plotted against time over 4 seconds. Chips choose 256 hertz with 257, 258 or 260 hertz, giving 1, 2 or 4 beats per second, and unison, with no beats. A Listen chip plays the same two tones. 123424Ot (s)A (cm) a a A O 256 and 257 Hz: 1 beat per second
Fig 4.1Two equal tones of nearby frequencies, drawn as phasors in the frame that turns with the first one. Press play. The brown arm turns at the difference frequency, and the length of the orange resultant, the amplitude of the sum, is plotted on the right. The chips choose \(256\,\text{Hz}\) with \(257\), \(258\) or \(260\,\text{Hz}\), and unison. Press Listen to hear the same two tones: the sound swells each time the arrows line up.
definition 10.3
Beats

When two sinusoids of slightly different frequencies are added, the amplitude of the sum rises and falls periodically. For sound, the loudness rises and falls. These periodic rises and falls are called beats, and the number of them in one second is the beat frequency.

RememberTwo nearby frequencies as a product
\[ \begin{gathered} y = \left[2A\cos(\pi\,\Delta f\,t)\right]\cos(2\pi\bar{f}\,t) \\ \Delta f = f_1 - f_2, \quad \bar{f} = \dfrac{f_1 + f_2}{2} \\ f_{beat} = |f_1 - f_2| \end{gathered} \]
Holds whentwo sinusoids \(A\cos 2\pi f_1t\) and \(A\cos 2\pi f_2t\) of equal amplitude, in phase at \(t = 0\). The picture of a steady tone that swells and fades needs \(\Delta f\) much smaller than \(\bar{f}\).
Symbols\(y\) the sum; \(A\) the amplitude of each; \(f_1, f_2\) the two frequencies; \(\Delta f\) their difference; \(\bar{f}\) their mean; \(f_{beat}\) the beat frequency
Unitsall frequencies in Hz; \(t\) in s; \(y\) and \(A\) in the unit of the quantity

The sum as a product

The phasor picture shows why beats happen. The sum-to-product identity writes the sum exactly. The derivation proves the identity from the two sum formulas of trigonometry, and then uses it.

Deriving \(y = 2A\cos(\pi\,\Delta f\,t)\cos(2\pi\bar{f}\,t)\) step 1 of 5
1

\[ \cos(p + q) = \cos p\cos q - \sin p\sin q \]

Why. the formula for the cosine of a sum.

The sum of two nearby frequenciesTwo graphs against time over one window. Above, two dashed sinusoids of equal amplitude: y1 makes 10 cycles in the window and y2 makes 12. At the start, the middle and the end their crests coincide, marked in step; at one quarter and three quarters a crest meets a trough, marked opposite. Below, their sum y is a fast oscillation at the average rate, 11 cycles, inside a dashed envelope that reaches 2A at the start, the middle and the end and pinches to zero at one quarter and three quarters.Oty1, y2 Oty opposite in step 2A envelope
Fig 4.2Above, two equal waves: \(y_1\) makes \(10\) cycles in the window and \(y_2\) makes \(12\). They are in step at the start, the middle and the end, and opposite at one quarter and three quarters of the window. Below, their sum: \(11\) fast cycles inside the dashed envelope \(\pm 2A\cos(\pi\,\Delta f\,t)\).

The product has two factors, and each does its own job. The factor \(\cos(2\pi\bar{f}t)\) is a fast oscillation at the mean frequency. For sound, this is the pitch you hear. The factor \(2A\cos(\pi\Delta f\,t)\) changes slowly and acts as a changing amplitude. Its outline, drawn dashed in Fig 4.2, is called the envelope.

The envelope and the beat frequency

Why the beat frequency is the whole difference

The envelope \(2A\cos(\pi\Delta f\,t)\) repeats after a time \(2/\Delta f\). So the envelope itself has the frequency \(\Delta f/2\). The ear, however, cannot hear the sign of the envelope. A large negative amplitude is just as loud as a large positive one. In one cycle the envelope reaches its largest size twice, once at \(+2A\) and once at \(-2A\). So the loudness peaks twice per cycle of the envelope, and the beat frequency is \(2 \times \Delta f/2 = \Delta f\).

The phasor picture of Fig 4.1 gives the same answer more directly. The second arm laps the first \(\Delta f\) times in each second, and each lap brings one moment of lining up. One lining up is one loud moment. So the loud moments come \(\Delta f\) times a second.

Common mistake

The envelope reaches zero only when the two amplitudes are equal. With unequal amplitudes the loudness swings between \((a_1 + a_2)^2\) and \((a_1 - a_2)^2\) and never falls silent. The picture of one tone that swells and fades also needs \(\Delta f\) to be small. Up to about \(10\) beats a second the ear counts them. At larger differences the sound becomes rough, and further on the ear hears two separate notes.

CheckpointUnanswered

Two tuning forks of \(256\,\text{Hz}\) and \(260\,\text{Hz}\) are sounded together. How many times a second does the loudness reach its peak?

Checkpoint · numericUnanswered

Two sources of \(440\,\text{Hz}\) and \(444\,\text{Hz}\) sound together. What is the frequency of the tone heard, the pitch of the beating sound, in Hz?

Hz± 2 %
CheckpointUnanswered

Two notes of \(300\,\text{Hz}\) and \(303\,\text{Hz}\) are drawn as phasors, and we watch them from a frame that turns with the first. How does the second phasor move in that frame?

Finding an unknown frequency from beats

Beats as a tuning tool

A beat frequency is the size of a difference, \(|f_1 - f_2|\). So a known frequency and a counted beat rate leave two candidates for the unknown one. A second observation decides between them. Wax on the prongs of a fork adds mass and lowers its frequency. Tightening a string raises its frequency. If the change brings the unknown nearer the known frequency, the beats slow down.

ExampleBack to physics: which side of 256 Hz?

This is the worked example of Beats and the Doppler Effect, lesson 2, done with the tool. A tuning fork A of frequency \(256\,\text{Hz}\) gives \(4\) beats per second with a fork B of unknown frequency. When a little wax is put on the prongs of B, the beats fall to \(2\) per second. Find the frequency of B before it was waxed.

Reveal one step at a time and finish the rest yourself.
CheckpointUnanswered

A sitar string sounded with a \(384\,\text{Hz}\) fork gives \(3\) beats per second. When the string is tightened slightly, the beats fall to \(2\) per second. What was the frequency of the string before it was tightened?

Checkpoint · select all that applyUnanswered

Two sinusoids of nearby frequencies \(f_1\) and \(f_2\) are added. Which statements are true?

In the world
Where this tool works in physics

Beats and the Doppler Effect uses this identity for beats as interference in time, the beat frequency and the tuning of forks and strings. The same product appears in Superposition, Damped and Forced Oscillations, where two SHMs of slightly different periods drift in and out of step. Radio engineers use the same product when they mix two nearby frequencies to get a low difference frequency.

Exam traps
  1. Taking the envelope's frequency, \(\Delta f/2\), as the beat frequency.
    The loudness peaks twice in every cycle of the envelope. The beat frequency is \(\Delta f\).
  2. Giving one answer for an unknown frequency from one beat count.
    A beat count gives \(|f_1 - f_2|\). Write both candidates, then use the wax or the tension to decide.
  3. Expecting silence between beats when the two sounds are unequal.
    The quietest sound has the amplitude \(|a_1 - a_2|\). It is silent only for equal amplitudes.

Where this tool works in the book

The physics that leans on this lesson. Each card opens the topic where the tool is at work.