Fourier series expansion. Find value of a term in expansion

In summary, the conversation discusses the Fourier series expansion of a signal f(t) and finding the value of A0 for the terms A0cos(6 pi) and A0sin(6 pi t). The equation for Fourier expansion is also mentioned, along with the use of Cn and An. The conversation ends with a question about why the term A0sin(6 pi t) is equal to zero, which is explained by the coefficients of \cos n\pi t and \sin n\pi t coming not just from c_n, but also c_{-n}.
  • #1
jaus tail
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Homework Statement


Fourier series expansion of a signal f(t) is given as
f(t) = summation (n = -inf to n = +inf) [3/(4+(3n pi)2) ) * e j pi n t

A term in expansion is A0cos(6 pi )
find the value of A0

Repeat above question for A0 sin (6 pi t)

Homework Equations


Fourier expansion is summation n = -inf to +inf Cn ejwnt
where Cn is Integration over T0 x(t) e-jwnt dt

The Attempt at a Solution


upload_2017-1-28_15-14-27.png

In book they've said Cn is right.
But then they say an is 2 times real part of Cn
and have done an = 6/[4 + (18 pi)2

For third part they've put A0sin (6 pi t) = bn sin (n w t)
and for n = 6, this is zero.

I didn't understand this part. Why did they multiply it by 2 first and then how did it become zero in the second.

I understand that sin ( 6 pi) is zero but how can sin ( 6 pi t) be zero? Wouldn't this vary as 't' varies?[/B]
 
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  • #2
The coefficients of [itex]\cos n\pi t[/itex] and [itex]\sin n\pi t[/itex] come not just from [itex]c_n[/itex], but also [itex]c_{-n}[/itex]: [tex]
c_ne^{i n\pi t} + c_{-n}e^{-in\pi t} = (c_n + c_{-n})\cos n\pi t + i(c_n - c_{-n})\sin n\pi t[/tex]
 
  • Like
Likes jaus tail
  • #3
Oh yeah. Thanks. I didn't think about C-n.
 

Related to Fourier series expansion. Find value of a term in expansion

1. What is a Fourier series expansion?

A Fourier series expansion is a mathematical tool used to represent a periodic function as an infinite sum of sine and cosine functions. It is useful in analyzing and understanding the behavior of periodic signals in various fields such as physics, engineering, and mathematics.

2. How is a Fourier series expansion calculated?

A Fourier series expansion is calculated by determining the coefficients of the sine and cosine functions that make up the sum. These coefficients can be found using integral formulas or by solving a system of equations. The resulting series will converge to the original function under certain conditions.

3. What are the applications of Fourier series expansion?

Fourier series expansions have many applications in science and engineering. They are commonly used in signal processing, image and sound compression, solving differential equations, and analyzing vibrations and waves in various systems.

4. Can a Fourier series expansion be used to find the value of a specific term in the expansion?

Yes, a Fourier series expansion can be used to find the value of a specific term in the expansion. This is done by substituting the desired value of the variable in the expansion and then evaluating the resulting sum.

5. What is the significance of the coefficients in a Fourier series expansion?

The coefficients in a Fourier series expansion represent the amplitude and phase of each sine and cosine function in the series. They provide information about the frequency components of the original function and are used to reconstruct the function from its series representation.

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