17.8 Beats

Thus far we have looked at the superposition of waves that have the same wavelength and frequency. We can also use the principle of superposition to investigate a phenomenon that is easily demonstrated with two sources of slightly different frequency.

If you listen to two sounds with very different frequencies, such as a high note and a low note, you hear two distinct tones. But if the frequency difference is very small, just one or two hertz, then you hear a single tone whose intensity is modulated once or twice every second. That is, the sound goes up and down in volume, loud, soft, loud, soft, …, making a distinctive sound pattern called beats.

Consider two sinusoidal waves traveling along the x-axis with angular frequencies ω1=2πf1 and ω2=2πf2. The two waves are

D1=a sin(k1x−ω1t+ϕ10)D2=a sin(k2x−ω2t+ϕ20) (17.39)

where the subscripts 1 and 2 indicate that the frequencies, wave numbers, and phase constants of the two waves may be different.

To simplify the analysis, let’s make several assumptions:

  1. The two waves have the same amplitude a,

  2. A detector, such as your ear, is located at the origin (x=0),

  3. The two sources are in phase (ϕ10=ϕ20), and

  4. The source phases happen to be ϕ10=ϕ20=π rad.

None of these assumptions is essential to the outcome. All could be otherwise and we would still come to basically the same conclusion, but the mathematics would be far messier. Making these assumptions allows us to emphasize the physics with the least amount of mathematics.

With these assumptions, the two waves as they reach the detector at x=0 are

D1=a sin(−ω1t+π)=a sin ω1tD2=a sin(−ω2t+π)=a sin ω2t (17.40)

where we’ve used the trigonometric identity sin(π−θ)=sin θ. The principle of superposition tells us that the net displacement of the medium at the detector is the sum of the displacements of the individual waves. Thus

D=D1+D2=a(sin ω1t+sin ω2 t) (17.41)

Earlier, for interference, we used the trigonometric identity

sin α+sin β=2 cos[12(α−β)]sin[12(α+β)]

We can use this identity again to write Equation 17.41 as

D=2a cos[ 12(ω1−ω2)t ]sin[ 12(ω1+ω2)t ]=[ 2a cos(ωmodt) ]sin(ωavgt) (17.42)

where ωavg=12(ω1+ω2) is the average angular frequency and ωmod=12|ω1−ω2| is called the modulation frequency. We’ve used the absolute value because the modulation depends only on the frequency difference between the sources, not on which has the larger frequency.

We are interested in the situation when the two frequencies are very nearly equal: ω1≈ω2. In that case, ωavg hardly differs from either ω1 or ω2 while ωmod is very near to—but not exactly—zero. When ωmod is very small, the term cos(ωmodt) oscillates very slowly. We have grouped it with the 2a term because, together, they provide a slowly changing “amplitude” for the rapid oscillation at frequency ωavg.

FIGURE 17.29 is a history graph of the wave at the detector (x=0). It shows the oscillation of the air against your eardrum at frequency favg=ωavg/2π=12(f1+f2). This oscillation determines the note you hear; it differs little from the two notes at frequencies f1 and f2. We are especially interested in the time-dependent amplitude, shown as a dashed line, that is given by the term 2a cos(ωmodt). This periodically varying amplitude is called a modulation of the wave, which is where ωmod gets its name.

FIGURE 17.29 Beats are caused by the superposition of two waves of nearly identical frequency.

The figure illustrates beats produced by the superposition of two waves of nearly identical frequency.
FIGURE 17.29 Full Alternative Text

As the amplitude rises and falls, the sound alternates as loud, soft, loud, soft, and so on. But that is exactly what you hear when you listen to beats! The alternating loud and soft sounds arise from the two waves being alternately in phase and out of phase, causing constructive and then destructive interference.

Imagine two people walking side by side at just slightly different paces. Initially both of their right feet hit the ground together, but after a while they get out of step. A little bit later they are back in step and the process alternates. The sound waves are doing the same. Initially the crests of each wave, of amplitude a, arrive together at your ear and the net displacement is doubled to 2a. But after a while the two waves, being of slightly different frequency, get out of step and a crest of one arrives with a trough of the other. When this happens, the two waves cancel each other to give a net displacement of zero. This process alternates over and over, loud and soft.

Notice, in Figure 17.29, that the sound intensity rises and falls twice during one cycle of the modulation envelope. Each “loud-soft-loud” is one beat, so the beat frequency fbeat, which is the number of beats per second, is twice the modulation frequency fmod=ωmod/2π. From the above definition of ωmod, the beat frequency is

fbeat=2fmod=2ωmod2π=2⋅12(ω12π−ω22π)=|f1−f2| (17.43)

The beat frequency is simply the difference between the two individual frequencies.

EXAMPLE 17.11 Detecting bats with beats

The little brown bat is a common species in North America. It emits echolocation pulses at a frequency of 40 kHz, well above the range of human hearing. To allow researchers to “hear” these bats, the bat detector shown in FIGURE 17.30 combines the bat’s sound wave at frequency f1 with a wave of frequency f2 from a tunable oscillator. The resulting beat frequency is then amplified and sent to a loudspeaker. To what frequency should the tunable oscillator be set to produce an audible beat frequency of 3 kHz?

FIGURE 17.30 The operation of a bat detector.

The figure illustrates the operation of a bat detector.

SOLVE Combining two waves with different frequencies gives a beat frequency

fbeat=|f1−f2|

A beat frequency will be generated at 3 kHz if the oscillator frequency and the bat frequency differ by 3 kHz. An oscillator frequency of either 37 kHz or 43 kHz will work nicely.

REVIEW The electronic circuitry of radios, televisions, and cell phones makes extensive use of mixers to generate difference frequencies.

Beats aren’t limited to sound waves. FIGURE 17.31 shows a graphical example of beats. Two “fences” of slightly different frequencies are superimposed on each other. The difference in the two frequencies is two lines per inch. You can confirm, with a ruler, that the figure has two “beats” per inch, in agreement with Equation 17.43.

FIGURE 17.31 A graphical example of beats.

The figure illustrates a graphical example of beats.
FIGURE 17.31 Full Alternative Text

Beats are important in many other situations. For example, you have probably seen movies where rotating wheels seem to turn slowly backward. Why is this? Suppose the movie camera is shooting at 30 frames per second but the wheel is rotating 32 times per second. The combination of the two produces a “beat” of 2 Hz, meaning that the wheel appears to rotate only twice per second. The same is true if the wheel is rotating 28 times per second, but in this case, where the wheel frequency slightly lags the camera frequency, it appears to rotate backward twice per second!

CHAPTER 17 CHALLENGE EXAMPLE An airplane landing system

Your firm has been hired to design a system that allows airplane pilots to make instrument landings in rain or fog. You’ve decided to place two radio transmitters 50 m apart on either side of the runway. These two transmitters will broadcast the same frequency, but out of phase with each other. This will cause a nodal line to extend straight off the end of the runway. As long as the airplane’s receiver is silent, the pilot knows she’s directly in line with the runway. If she drifts to one side or the other, the radio will pick up a signal and sound a warning beep. To have sufficient accuracy, the first intensity maxima need to be 60 m on either side of the nodal line at a distance of 3.0 km. What frequency should you specify for the transmitters?

MODEL The two transmitters are sources of out-of-phase, circular waves. The overlap of these waves produces an interference pattern.

VISUALIZE For out-of-phase sources, the center line—with zero path-length difference—is a nodal line of maximum destructive interference because the two signals always arrive out of phase. FIGURE 17.32 shows the nodal line, extending straight off the runway, and the first antinodal line—the points of maximum constructive interference—on either side. Comparing this to Figure 17.27, where the two sources were in phase, you can see that the nodal and antinodal lines have been reversed.

FIGURE 17.32 Pictorial representation of the landing system.

The figure illustrates the pictorial representation of the landing system of an airplane.

SOLVE Point P, 60 m to the side at a distance of 3000 m, needs to be a point of maximum constructive interference. The distances are

r1=(3000 m)2+(60 m−25 m)2=3000.204 m r2=(3000 m)2+(60 m+25 m)2=3001.204 m 

We needed to keep several extra significant figures because we’re looking for the difference between two numbers that are almost the same. The path-length difference at P is

Δr=r2−r1=1.000 m

We know, for out-of-phase transmitters, that the phase difference of the sources is Δϕ0=π rad. The first maximum will occur where the phase difference between the waves is Δϕ=1⋅2π rad. Thus the condition that we must satisfy at P is

Δϕ=2π rad=2πΔrλ+π rad

Solving for λ, we find

λ=2 Δr=2.00 m

Consequently, the required frequency is

f=cλ=3.00×108 m/s2.00 m=1.50×108 Hz=150 MHz

REVIEW 150 MHz is slightly higher than the frequencies of FM radio (≈100 MHz) but is well within the radio frequency range. Notice that the condition to be satisfied at P is that the path-length difference must be 12λ. This makes sense. A path-length difference of 12λ contributes π rad to the phase difference. When combined with the π rad from the out-of-phase sources, the total phase difference of 2π rad creates constructive interference.