The Phenomenon of Beats
Imagine you are sitting in a concert hall, and two musicians are tuning their instruments. If they play notes that are very close in frequency but not exactly the same, you won't hear two distinct notes. Instead, you will hear a single note that periodically grows louder and softer. This rhythmic pulsing of sound is what physicists call beats.
The mathematics behind this is beautifully simple. When two waves of frequencies f1 and f2 superpose, they interfere constructively and destructively over time. The rate at which this loudness oscillates—the beat frequency—is exactly equal to the absolute difference between the two frequencies:
Analyzing the Given Frequencies
In our problem, we are not dealing with two, but three sound waves. They all have the same amplitude A, but their frequencies are slightly staggered:
1. $f_1 =
u - 1$
2. $f_2 =
u$
3. $f_3 =
u + 1$
When these three waves superpose, the situation becomes a bit more complex. To find the number of beats produced per second, we need to look at the frequency differences between all possible pairs of these waves.
Let's calculate the differences:
- Between the first and second wave: $|
u - (
u - 1)| = 1\text{ Hz}$
- Between the second and third wave: $|(
u + 1) -
u| = 1\text{ Hz}$
- Between the first and third wave: $|(
u + 1) - (
u - 1)| = 2\text{ Hz}$
The Rule of Maximum Difference
When multiple waves superpose, the overall beat frequency that our ears perceive is dictated by the maximum frequency difference present in the mixture. The extreme frequencies create the fastest envelope of modulation, while the intermediate frequencies simply shape the internal structure of that envelope.
Since the maximum difference in our set is between f1 and f3, which is 2 Hz, the system will produce 2 beats per second.
The Mathematical Proof
If you are wondering why the maximum difference dictates the beat frequency, let's dive into the rigorous mathematics of superposition. The total displacement y of the air particles is the sum of the individual displacements:
y=Asin(2π(u−1)t)+Asin(2πut)+Asin(2π(u+1)t)
Let's group the first and third terms and apply the trigonometric identity sinC+sinD=2sin(2C+D)cos(2C−D):
y=A[sin(2π(u−1)t)+sin(2π(u+1)t)]+Asin(2πut)
y=A[2sin(2πut)cos(2πt)]+Asin(2πut)
Now, we can factor out the common term $A\sin(2\pi
u t)$:
y=Asin(2πut)[1+2cos(2πt)]
This equation is a masterpiece. It tells us that the resultant wave oscillates at the central frequency $
u$, but its amplitude is modulated by an envelope function: Aenv=A∣1+2cos(2πt)∣.
The loudness, or intensity I, of the sound is proportional to the square of this amplitude envelope:
To find the number of beats per second, we need to find how many times this intensity reaches a maximum in a one-second interval (from t=0 to t=1).
- At t=0, cos(0)=1, so I∝(1+2)2=9.
- At t=0.5, cos(π)=−1, so I∝(1−2)2=1.
- At t=1, cos(2π)=1, so I∝(1+2)2=9.
In exactly one second, the intensity hits a massive peak (value 9), then a smaller peak (value 1), and then returns to a massive peak. Because there are two distinct maxima (one major and one minor) in one second, the listener will perceive 2 beats per second.
Conclusion
Whether you use the intuitive shortcut of finding the maximum frequency difference or the rigorous mathematical derivation of the intensity envelope, the conclusion is identical. The superposition of these three waves creates a complex beat pattern that pulses twice every second.