Understanding the proof of the parseval theorem in fourier series

In summary, the conversation is about a person wanting help understanding a proof involving a diagram and integrals. They provide their own attempt at the solution and ask for clarification on a specific part. The conversation ends with a suggestion for solving the third integral.
  • #1
Jncik
103
0

Homework Statement



I want to prove this

[PLAIN]http://img84.imageshack.us/img84/918/asdfo.png


The Attempt at a Solution



here is part of the proof

[PLAIN]http://img824.imageshack.us/img824/4513/parseval.png

i can't understand the red part, can someone help me? thanks

edit:

i forgot to add the last part

[PLAIN]http://img847.imageshack.us/img847/4513/parseval.png
 
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  • #2
In the second step, split the integrals so that you get:

[tex]\frac{1}{T}\int_{-T}^T{\frac{a_0}{4}dx}+\frac{1}{T}\int_{-T}^T{\left(\sum{...}\right)^2dx}+\frac{1}{T}\int_{-T}^T{a_0\left(\sum{...}\right)dx}[/tex]

The first integral is easy to calculate. You don't need to do anything in the second integral. Only the last integral might pose a problem. Change the sum in the last integral to

[tex]\sum{...}=f(x)-\frac{a_0}{2}[/tex]

Now the third integral is also nice...
 

FAQ: Understanding the proof of the parseval theorem in fourier series

What is the Parseval theorem in Fourier series?

The Parseval theorem in Fourier series states that the total energy of a signal can be calculated by summing the squared magnitudes of its Fourier coefficients. It is a fundamental tool in signal processing and allows for the analysis and synthesis of signals in the frequency domain.

How is the Parseval theorem derived?

The Parseval theorem can be derived by using the orthogonality properties of complex exponential functions and the properties of the Fourier transform. By manipulating the equations and using the Fourier series representation of a signal, the theorem can be derived.

3. What is the significance of the Parseval theorem in signal processing?

The Parseval theorem is significant in signal processing as it allows for the analysis and manipulation of signals in the frequency domain. It provides a way to calculate the energy of a signal and can be used to evaluate the performance of signal processing systems.

4. Are there any limitations to the Parseval theorem?

One limitation of the Parseval theorem is that it only applies to signals that are square-integrable, meaning they have a finite energy. Additionally, it assumes that the signal is periodic, which may not always be the case in real-world applications.

5. How is the Parseval theorem used in practical applications?

The Parseval theorem is used in various practical applications such as signal processing, telecommunications, and audio engineering. It allows for the analysis and manipulation of signals in the frequency domain, which is useful for filtering, noise reduction, and compression of signals.

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