Frequency with strings problem

In summary, to tune a banjo to itself, you can fix the frequency of one string and compare it with the frequency of another string held at a specific fret. If the frequencies are the same, the strings are in tune. In this situation, if the two "A" notes produce a tone with a beat frequency of 5 Hz, the "D" string should be tightened. This can be determined using the equation v=f*λ.
  • #1
nczzzzzz
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Homework Statement


One way to tune a banjo to itself is to fix the frequency of one string (say, the "A" string) and compare the frequency of the "D" string while held at the seventh fret (so that it should also produce an "A"). If the "D" string is tuned correctly, then the "A" played by the pinched "D" string and the open "A" string should be the same frequency.

Suppose the two "A" notes produce a tone with a beat frequency of 5 Hz. Should the "D" string be tightened or loosened?

A. It should be tightened.

B. It should be loosened.


Homework Equations



v=f*λ

The Attempt at a Solution

 
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  • #2
What was option C. ?
 

Related to Frequency with strings problem

1. What is the "Frequency with strings problem"?

The "Frequency with strings problem" is a problem that involves determining the frequency of occurrence of each unique string in a given set of strings. It is a common problem in computer science and data analysis.

2. How is the frequency of strings calculated?

The frequency of strings is calculated by counting the number of times each unique string appears in the set of strings. This can be done manually or using programming languages and algorithms.

3. Why is the "Frequency with strings problem" important?

The "Frequency with strings problem" is important because it allows for the analysis and understanding of patterns and trends within a set of data. It can also be used for tasks such as data compression and text mining.

4. What are some common applications of the "Frequency with strings problem"?

The "Frequency with strings problem" has various applications in different fields such as natural language processing, data mining, and bioinformatics. It can also be used in tasks like plagiarism detection and identifying key words in text analysis.

5. How can the "Frequency with strings problem" be solved efficiently?

The "Frequency with strings problem" can be solved efficiently by using data structures and algorithms such as hash tables, trees, and sorting algorithms. These methods can significantly reduce the time and resources required to calculate the frequency of strings in a given set.

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