Sine Fourier series and coefficient of Fourier series

In summary, the conversation discusses finding the sine Fourier series of a non-symmetric interval and showing that the series has certain values and properties. The second part involves finding the Fourier series of a piecewise continuous function with a specific periodicity and symmetry. The concept of even and odd functions is also discussed.
  • #1
Markov2
149
0
1) Find the sine Fourier series of $f(x)=x(\pi-x),\,0\le x\le\pi$ and show that $\displaystyle\sum_{k\ge1}\frac{(-1)^k}{(2k-1)^3},\,\sum_{k\ge1}\frac1{(2k-1)^6}$ and $\displaystyle\sum_{k\ge1}\frac{\sin\big((2k-1)\sqrt5\pi\big)}{(2k-1)^3}$ and to show that $\displaystyle\sum_{k\ge0}\frac{\sin(2n-1)x}{(2n-1)^3}>0$ for all $x\in(0,\pi).$

2) Let $f$ be an odd piecewise continuous function of period $4L$ and which is even with respect $x=L.$ Show that the Fourier series of $f$ is $\displaystyle\sum_{n\ge1}b_{2n-1}\sin\frac{(2n-1)\pi}{2L}x,$ where $b_{2n-1}=\displaystyle\frac2L\int_0^L f(x)\sin\frac{(2n-1)\pi}{2L}x\,dx.$

Attempts:

1) I don't know how to find the Fourier series here, how to work with a non-symmetric interval?

2) No ideas here, how to start?
 
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  • #2
Markov said:
1) Find the sine Fourierseries of $f(x)=x(\pi-x),\,0\le x\le\pi$...

If f(x) is $2 \pi$ periodic then is...

$\displaystyle a_{n}= \frac{1}{\pi}\ \int_{0}^{\pi} x\ (\pi-x) \cos nx\ dx = \left\{\begin{array}{cl}\frac{\pi^{2}}{6},&n=0\\ \frac{(-1)^{n}}{\pi\ n^{2}},&n > 0\end{array}\right.$

$\displaystyle b_{n}= \frac{1}{\pi}\ \int_{0}^{\pi} x\ (\pi-x) \sin nx\ dx = \frac{2}{\pi}\ \frac{1 - (-1)^{n}}{n^{3}}$

Kind regards

$\chi$ $\sigma$
 
Last edited:
  • #3
Okay, makes sense! Could you help me with second part?
 
  • #4
First of all I need to correct my previous post because the values of the $a_{n}$ aren't correct (Headbang)... Here the Fourier coefficients for...

$f(x)=\begin{cases} x\ (\pi-x) &\text{if}\ 0< x<\pi\\ 0 &\text{if}\ -\pi<x\le 0\end{cases}$


$\displaystyle a_{n}= \frac{1}{\pi}\ \int_{0}^{\pi} x\ (\pi-x) \cos nx\ dx = \left\{\begin{array}{cl}\frac{\pi^{2}}{6},&n=0\\ \frac{(-1)^{n}}{n^{2}},&n > 0\end{array}\right.$

$\displaystyle b_{n}= \frac{1}{\pi}\ \int_{0}^{\pi} x\ (\pi-x) \sin nx\ dx = \frac{2}{\pi}\ \frac{1 - (-1)^{n}}{n^{3}}$

Very sorry!...

Kind regards

$\chi$ $\sigma$
 
  • #5
The results obtained in the last post permits us to write...

$\displaystyle f(x)= \frac{\pi^{2}}{12} - (\cos x - \frac{1}{4}\ \cos 2x +\frac{1}{9}\ \cos 3x - \frac{1}{16}\ \cos 4x +...) + \frac{4}{\pi}\ (\sin x + \frac{1}{27}\ \sin 3x + \frac{1}{125}\ \sin 5x +...)$ (1)

... where for $0 \le x < \pi $ is $f(x)=x\ (\pi-x)$. S
etting in (2) $x=0$ we obtain...

$\displaystyle \frac{\pi^{2}}{12}= 1 - \frac{1}{4} + \frac{1}{9} - \frac{1}{16}+...$ (2)

... and setting in (2) $x=\frac{\pi}{2}$ we obtain...


$\displaystyle \frac{\pi^{3}}{32} = 1 - \frac{1}{27} + \frac{1}{125} -...$ (3)

Other values of
$0 \le x < \pi $ can be inserted in (2) obtaining more interesting results and the task is left to the reader...

Kind regards

$\chi$ $\sigma$

 
  • #6
The task is greatly more simple using the 'double identity', easy obtainable from the Fourier expansion just described...

$\displaystyle \frac{\pi^{2}}{12} - (\cos x - \frac{1}{4}\ \cos 2x +\frac{1}{9}\ \cos 3x - \frac{1}{16}\ \cos 4x +...) = \frac{4}{\pi}\ (\sin x + \frac{1}{27}\ \sin 3x + \frac{1}{125}\ \sin 5x +...)= \frac{x\ (\pi-x)}{2}$ (1)

... where for $0 \le x \le \pi $. For example setting in (1) $x=\frac{\pi}{4}$ You obtain...

$\displaystyle 1 + \frac{1}{27} - \frac{1}{125} - \frac{1}{343} +... = \pi^{3}\ \frac{3}{64\ \sqrt{2}}= 1.02772258593...$ (2)


Kind regards

$\chi$ $\sigma$

 
  • #7
In the last post we have seen that the'identity'...

$\displaystyle \frac{4}{\pi}\ (\sin x +\frac{1}{27}\ \sin 3x + \frac{1}{125}\ \sin 5x +...)= \frac{x\ (\pi-x)}{2}$ (1)

... is true for $0 \le x \le \pi$ and in that interval the 'infinite sum' is greater or equal to 0. A simple question: whatabout $-\pi \le x \le 0$?... the answer is easy: in that case change the sign of second term of (1)...

In the starting post it was requested the value of $\displaystyle\sum_{n=0}^{\infty} \frac{(-1)^{n}}{(2n+1)^{3}}\ \sin (2n+1) x$ for $x=\pi\ \sqrt{5}$... because is $\displaystyle \pi \sqrt{5}= \pi (\sqrt{5}-2)\ \text{mod}\ 2 \pi$ is...

$\displaystyle \sum_{n=0}^{\infty} \frac{(-1)^{n}}{(2n+1)^{3}}\ \sin (2n+1)\ \pi \sqrt{5} = \frac{11 - 5 \sqrt{5}}{8}\ \pi^{3} = -.6989585560358...$ (2)

Kind regards

$\chi$ $\sigma$

 
  • #8
Thanks a lot! That helped me a lot! Could you help me with second problem please?
 
  • #9
For the second problem is essential for me to understand better that...

Markov said:
... let $f$ be an odd piecewise continuous function of period $4L$ and which is even with respect $x=L$...

... what does it mean that?... may be that is even in the two half periods and odd in the full period?...

Kind regards

$\chi$ $\sigma$
 
  • #10
Sorry for the delay, well, I wouldn't know really what exactly that means. :(
 

FAQ: Sine Fourier series and coefficient of Fourier series

What is a Sine Fourier series?

A Sine Fourier series is a mathematical representation of a periodic function using a sum of sine functions with different frequencies and amplitudes. It is a type of Fourier series that is used to approximate functions that are odd and periodic.

What is the coefficient of a Fourier series?

The coefficient of a Fourier series is a set of numbers that describe the amplitudes and frequencies of the sine or cosine terms in the series. These coefficients are calculated using integrals and represent the contribution of each frequency to the overall function.

How is the Sine Fourier series different from the Cosine Fourier series?

The Sine Fourier series only uses sine functions in its representation, while the Cosine Fourier series uses only cosine functions. Both series can be used to approximate periodic functions, but the choice between the two depends on the type of function being approximated.

How are the coefficients of a Fourier series calculated?

The coefficients of a Fourier series can be calculated using integration techniques such as the Fourier series formula or the Euler's formula. The specific method used may vary depending on the type of function and the desired level of accuracy.

What is the significance of the Fourier series in mathematics?

The Fourier series is an important tool in mathematics for approximating and analyzing periodic functions. It has applications in various fields such as signal processing, physics, and engineering. It also plays a crucial role in the development of the Fourier transform, which is used in many areas of mathematics and science.

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