Parseval Relation/Fourier Series

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In summary, the conversation discusses slope-matched parabolic sections and a function defined over an interval. It also mentions Parseval's relation and extended relation, and computes sums using these equations. The solutions for the sums are given as \frac{\pi^6}{960} ; \frac{\pi^4}{96} ; \frac{5 \pi^5}{1536}.
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noranne
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Homework Statement



Slope-matched parabolic sections. Consider the function of period 4 defined over the interval [-2,2] by the equations:

f(t) = 2*t-t^2 for 0<t<2 and f(t) = 2*t+t^2 for -2<t<0

It has a Fourier expansion [tex] \sum_{m=0}^\infty \frac{32}{\pi^3*(2m+1)^3} sin((2m+1) \frac{\pi}{2} t) [/tex]

Use Parseval's relation to compute the sum [tex] \sum_{m=0}^\infty \frac{1}{(2m+1)^6} [/tex]

Use the extended Parseval's relation and Fourier series calculated in this handout to compute the sums [tex] \sum_{m=0}^\infty \frac{1}{(2m+1)^4} [/tex] and [tex] \sum_{m=0}^\infty \frac{(-1)^m}{(2m+1)^5} [/tex]

Answers: [tex] \frac{\pi^6}{960} ; \frac{\pi^4}{96} ; \frac{5 \pi^5}{1536} [/tex]

Homework Equations



Parseval's Relation/Parseval's Extended Relation



The Attempt at a Solution



Okay, we got the first part, the pi to the six over 960. What we don't get is how to use the extended Parseval relation to find the second parts. We tried writing up a Fourier series for an antisymmetric square wave, but we weren't getting anywhere with that. Basically, we're clueless on the second two.

Any ideas?
 
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  • #2
Writing out how you solved the first part as well as the P.E.R. might help to elicit responses.
 
  • #3
We got it...turned out we were just confused by the phrasing, and the problem was actually really easy. Go figure. Thanks!
 
  • #4
Always glad to help :)
 

FAQ: Parseval Relation/Fourier Series

What is Parseval's relation?

Parseval's relation is a mathematical equation that expresses the relationship between the energy of a signal in the time domain and its representation in the frequency domain. It is also known as the energy conservation theorem or the Plancherel-Parseval identity.

What is a Fourier series?

A Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions with different frequencies and amplitudes. It allows us to decompose a complex signal into simpler components in the frequency domain.

How is Parseval's relation related to Fourier series?

Parseval's relation is a fundamental property of Fourier series. It states that the sum of the squares of the coefficients in the Fourier series representation of a signal is equal to the integral of the square of the signal's magnitude over the entire period. In other words, it relates the energy of a signal in the time domain to its frequency domain representation.

What is the importance of Parseval's relation in signal processing?

Parseval's relation is crucial in signal processing as it allows us to analyze signals in both the time and frequency domains. It helps us understand the energy distribution of a signal and how it changes when transformed from one domain to another. It is also used in various applications such as data compression, filtering, and spectral analysis.

How is Parseval's relation used in practical applications?

Parseval's relation is used in various practical applications, such as image and audio processing, communication systems, and control systems. It allows us to analyze signals and systems in terms of their energy content, which helps in designing efficient and robust systems. It is also used in the analysis and design of digital filters and in the study of noise and distortion in communication systems.

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