Sigma Percentile
JEE Advanced 1986
LEVELJEE Main

Animated Solution for Physics - Waves: Two tuning forks with natural frequencies of each move relative to a stationary observer. One fork moves away from the observer, while the other moves towards him at the same speed. The observer hears beats of frequency . Find the speed of the tuning fork. Speed of sound = .

Enter Numerical Value:

Visualized Solution

Visualizing the Physical Setup

  • Let the natural frequency of each tuning fork be .
  • Let the speed of sound in air be .
  • Let the speed of each tuning fork be .
  • One tuning fork moves towards the stationary observer, while the other moves away with the same speed .

The Doppler Effect Principle

  • According to the Doppler effect, the apparent frequency heard by a stationary observer when a source moves with speed is given by:
  • Use the minus sign () when the source approaches the observer.
  • Use the plus sign () when the source recedes from the observer.

Setting up the Apparent Frequencies

  • For the approaching tuning fork, the apparent frequency is:
  • For the receding tuning fork, the apparent frequency is:

Understanding Beat Frequency

  • The beat frequency is the difference between the two apparent frequencies:
  • Given that the observer hears beats of frequency .

Substituting into the Beat Equation

  • Substitute the expressions for and into the beat frequency equation:
  • Substitute the known values and :

Simplifying the Algebraic Expression

  • Factor out from the equation:
  • Combine the fractions inside the parentheses:

Applying the Binomial Approximation

  • Since the beat frequency () is extremely small compared to the natural frequency (), the speed of the source must be much smaller than the speed of sound ().
  • Therefore, we can approximate:
  • The equation simplifies to:

Substituting Values into the Simplified Equation

  • We have the simplified relation:
  • Substitute and :

Calculating the Speed of the Tuning Fork

  • The equation reduces to:
  • Solving for :
  • The speed of each tuning fork is .

Verifying with the Exact Quadratic Equation

  • Let's check the exact solution without approximation:
  • Using the quadratic formula, .
  • The binomial approximation is extremely accurate!

The Sigma Insight: Doppler Effect

Solution Diagram
Imagine standing in a quiet open field. Suddenly, two identical tuning forks begin to vibrate nearby. One is rushing towards you, while the other is speeding away at the exact same rate. What you hear is not a steady, pure tone, but a rhythmic, pulsating throb—a rise and fall in loudness that we call beats. This is the beautiful intersection of the Doppler effect and wave interference.

The Magic of Sound and Motion

When a source of sound moves relative to a stationary observer, the pitch we perceive changes. This phenomenon, known as the Doppler Effect, is a cornerstone of wave mechanics. As the source approaches, it chases its own sound waves, compressing them and increasing the frequency. Conversely, as it recedes, it leaves the waves stretched out behind it, lowering the frequency.
In our problem, we have two identical tuning forks with a natural frequency of . One fork is moving towards the observer with speed , while the other is moving away with the same speed . The speed of sound in air is given as .

The Doppler Shift

A Tale of Compressed Waves
Let's write down the mathematical expressions for the frequencies heard by our stationary observer. For the approaching tuning fork, the sound waves are compressed. This results in a higher perceived frequency, which we denote as :
For the receding tuning fork, the sound waves are stretched out. This results in a lower perceived frequency, which we denote as :
Notice how the denominator for the approaching source has a minus sign, making the fraction larger than , while the receding source has a plus sign, making the fraction smaller than . This perfectly matches our physical intuition!

The Symphony of Beats

When these two waves of slightly different frequencies, and , reach the observer's ears simultaneously, they superimpose. Because their frequencies are close but not identical, they periodically go in and out of phase. This leads to alternating constructive and destructive interference, which we perceive as a periodic variation in loudness.
The frequency of this pulsation is the Beat Frequency (), which is simply the absolute difference between the two shifted frequencies:
We are given that the observer hears exactly beats per second. Therefore, our beat frequency is .

Setting Up the Mathematical Stage

Now, let's substitute our Doppler shift expressions into the beat frequency equation:
By factoring out the common term , we can simplify the expression inside the parentheses:
Finding a common denominator for the fractions inside the parentheses gives:
Simplifying the numerator, we get:

The Power of Approximation in Physics

At this point, we could solve this equation exactly, but a clever physicist always looks for elegant approximations that simplify the math without losing accuracy. Notice that the beat frequency of is extremely small compared to the natural frequency of . This tells us that the frequency shift is tiny, which in turn means the speed of the tuning forks, , must be much smaller than the speed of sound, ().
Since , the term is completely negligible compared to . Therefore, we can make the approximation:
Substituting this approximation back into our equation yields:
One of the terms in the numerator cancels with one in the denominator, leaving us with:

The Beautiful Cancellation

Now, let's substitute our known values: and . Watch how beautifully the numbers align:
The in the numerator and denominator cancel out completely! This leaves us with an incredibly simple linear equation:
Solving for , we find:
Thus, the speed of each tuning fork is exactly .

Exact vs

Approximate: A Physicist's Rigor
To appreciate the power of our approximation, let's solve the exact quadratic equation without neglecting :
Using the quadratic formula to solve for , we get:
The difference between the exact answer () and our approximate answer () is less than ! This demonstrates how powerful and reliable physical approximations can be when used correctly.

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