Deriving the Frequency of Beats

Click For Summary
SUMMARY

The discussion focuses on deriving the beat frequency, denoted as fbeat, using the formula fbeat = |f' - finitial|. Participants emphasize the importance of trigonometric identities, particularly the product-to-sum identities, which reveal that when two cosine functions are multiplied, they produce sum and difference frequencies. The conversation highlights the necessity of understanding time variations and the role of non-linearity in signal processing to accurately determine beat frequencies.

PREREQUISITES
  • Understanding of trigonometric identities, specifically product-to-sum identities.
  • Familiarity with the concept of frequency in waveforms.
  • Basic knowledge of signal processing and non-linear systems.
  • Ability to manipulate and interpret mathematical equations involving sine and cosine functions.
NEXT STEPS
  • Study the derivation of product-to-sum identities in trigonometry.
  • Learn about non-linear signal processing and its effects on frequency analysis.
  • Explore the concept of envelope functions in waveforms and their relationship to beat frequencies.
  • Investigate the mathematical implications of combining multiple frequencies in audio signals.
USEFUL FOR

Students studying physics or engineering, audio engineers, and anyone interested in understanding wave interactions and beat frequencies in sound and signal processing.

elemis
Messages
162
Reaction score
1

Homework Statement



attachment.php?attachmentid=57703&stc=1&d=1365592186.png



Homework Equations





The Attempt at a Solution



I've done all the parts easily. I just don't know how to derive the beat frequency fbeat.

I cannot provide any workings because I don't know where to begin. I am not asking for an answer.

I am asking for a push in the right direction. Give me something to get my brain working on this.

I hope the mods will understand my intentions.
 

Attachments

  • problem.png
    problem.png
    38.2 KB · Views: 12,237
Last edited by a moderator:
Physics news on Phys.org
The photo doesn't seem to be working.

f (beat) = |f' - f(initial)|

Since the photo isn't working, can you explain the problem?
 
If you think just in terms of time variations for a fixed value of x (say 2nπ) then the equation becomes easier and it reduces to the trig identity for Cos(A)XCos(B), which gives you an A+B term and an A-B term (giving the beat frequencies when there is a non-linearity involved). The difference doesn't 'have' to be small - except when you're talking about audio tones and the sense that the ear / brain makes when two are heard at once. Sum and difference frequencies can always occur.
 
sophiecentaur said:
If you think just in terms of time variations for a fixed value of x (say 2nπ) then the equation becomes easier and it reduces to the trig identity for Cos(A)XCos(B), which gives you an A+B term and an A-B term (giving the beat frequencies when there is a non-linearity involved). The difference doesn't 'have' to be small - except when you're talking about audio tones and the sense that the ear / brain makes when two are heard at once. Sum and difference frequencies can always occur.

I don't follow your explanation at all. Treat me like an idiot.
 
Last edited by a moderator:
elemis said:
I don't follow your explanation at all. Treat me like an idiot.

Uninformed does not mean daft! :wink: I know nothing about premiership football or horse racing.

Trig is one of those subjects that can just get more and more complicated. Many people just use sin, cos and tan to work out right angled triangles - but that's only the start of things. There are a whole lot of so-called identities which you start off with in A level maths and just go on and on getting more and more complicated. If you did any trig at school, you may have come across the fact that sin2θ+cos2θ=1, which can be shown to follow from Pythagoras' theorem.

Trig is also involved with a lot of difficult Integrations. I guess you don't want to get into that stuff BUT it's not really avoidable if you want an answer to your question, I think. If you take two cos (or sin) functions and multiply them together (which is what happens when two signals go through a non-linearity) the maths can show that there will be products at beat frequencies (sum and differences).
If you want to batter your brain, take a look at this link. You may spot the sort of thing I was talking about near the top of the page.
Treat it like a black box that works!
 
sophiecentaur has the right idea. Look at your function (ii) at t=0 for simplicity. We see that there are two frequencies in play here.
  1. \frac{\omega_1+\omega_2}{2}
  2. \frac{\omega_1-\omega_2}{2}
We see that the the first frequency is much larger than the second. This corresponds with having a shorter period. The second frequency with its longer period represents the frequency of the envelope of the superposition. Try looking at the time difference between when the envelope function is zero. In other words ...
cos(\frac{\omega_1-\omega_2}{2}t) = 0
This will give you some t_n. The period of your beat will this be the difference between t_{n+1} and t_n. You can then easily see the beat frequency.
 
Last edited:

Similar threads

  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 15 ·
Replies
15
Views
1K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 2 ·
Replies
2
Views
5K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 43 ·
2
Replies
43
Views
7K
Replies
3
Views
2K
  • · Replies 13 ·
Replies
13
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K