Complex Fourier Series of f: Evaluating Parseval's Relation

In summary, the conversation discusses defining and extending a function, finding its complex Fourier series, and applying Parseval's relation to evaluate a sum. The first part involves calculating an integral and simplifying it, while the second part involves using a trigonometric identity and checking the algebra to evaluate the sum.
  • #1
AkilMAI
77
0
Define [tex]f(t)=e^{-t}[/tex] ont he interval [tex][-\pi,\pi)[/tex],and extend f to [itex]2\pi[/itex]-periodic.Find the complex
Fourier series of f.Then, apply Parseval's relation to f to evaluate
[tex]\sum^{\infty}_0 \frac{1}{1+k^{2}}[/tex]

For the first part when I calculate c_k [tex]\frac{1}{2\pi}\ \int^\pi_{-\pi} e^{-ikt-t}dt[/tex]...I get the following [tex]\frac{-e^{-(ik+1)\pi} + e^{(ik+1)\pi}}{2\pi(ik+1)}[/tex]...is there any way to simplify it?Also for the second part,how can I apply Parseval's relation to evaluate the sum?
Thanks in advance
 
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  • #2
You can use

[tex]\sinh x = \frac{e^x-e^{-x}}{2}[/tex]

Not sure if it would really help much though.
 
  • #3
maybe I did something wrong with the integral
 
  • #4
You have

[tex]\frac{-e^{-(ik+1)\pi} + e^{(ik+1)\pi}}{2\pi(ik+1)} = \frac{\sinh \pi(1+ik)}{\pi(1+ik)}[/tex]

Use the identity [itex]\sinh(a+b) = \sinh a \cosh b + \cosh a \sinh b[/itex].
 
  • #5
thanks vela... plugging that result in the Parseval’s relation provides me with another result...the questions is how can I use it to evaluate the sum from above?
 
  • #6
What does Parseval's relation tell you?
 
  • #7
that the integral of the square of a function is equal to the sum of the square of its transform...?
 
  • #8
So what do you get when you apply it to this particular problem?
 
  • #9
[tex]\frac{ \frac{\pi^{2}}{4}*cosh(iK)^{2}}{k^{2} +1}=\frac{1}{2\pi}*(e^{-2\pi} - e^{2\pi}) [/tex]
 
Last edited:
  • #10
Check your algebra. You should have a factor of [itex]\sinh \pi[/itex] in there, and you can simplify [itex]\cosh ik[/itex]. Also, where's the sum?
 
  • #11
sorry I do have a pi in there ,latex typo also is the forum,the loading time is very high...yes the sum is in the l.h.s...
 

FAQ: Complex Fourier Series of f: Evaluating Parseval's Relation

What is a complex Fourier series?

A complex Fourier series is a mathematical representation of a periodic function as a sum of complex exponential functions. It is used to decompose a function into its constituent frequencies and can be used to analyze and manipulate signals in various fields such as engineering, physics, and mathematics.

How is a complex Fourier series calculated?

A complex Fourier series is calculated using the formula: f(x) = a0 + ∑n=1 (ancos(nx) + bnsin(nx)), where a0, an, and bn are coefficients that depend on the function f(x) and its period. These coefficients can be found by integrating the function over one period and using trigonometric identities.

What is Parseval's relation in the context of complex Fourier series?

Parseval's relation is a mathematical equation that relates the energy of a function in the time domain to its energy in the frequency domain. In the context of complex Fourier series, it states that the sum of the squares of the Fourier coefficients is equal to the integral of the squared magnitude of the function. This relation is useful for verifying the accuracy of a Fourier series approximation.

How is Parseval's relation used to evaluate complex Fourier series?

Parseval's relation can be used to evaluate the accuracy of a complex Fourier series by comparing the energy of the function in the time domain to its energy in the frequency domain. If the two energies are equal, then the Fourier series is an exact representation of the function. If they are not equal, then the Fourier series is an approximation with some error. This relation can also be used to determine the convergence of a Fourier series.

What are some applications of complex Fourier series in science?

Complex Fourier series have a wide range of applications in various fields of science. They are commonly used in signal processing to analyze and manipulate signals in engineering and physics. They are also used in image processing, data compression, and pattern recognition. In mathematics, they are used to solve differential equations and study the behavior of functions. In quantum mechanics, they are used to describe the wave-like behavior of particles.

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