What is the sum of the Fourier series for g(x) at x = pi/2 and x = 3pi/2?

In summary, the function g(x) is defined as a piecewise function with different values and ranges. The Fourier series for g(x) is found by using a sum of sines and a coefficient, and the sum can be found by inserting a given value into the function. The second part of the problem involves finding the periodic extension of g(x) and showing that the Fourier series converges to it. This can be done by recognizing that g(x) is an odd function and extending it with period 2\pi.
  • #1
nicolayh
6
0

Homework Statement



The function g(x) is defined as follows:

[tex] g(x) = \left\{ \begin{array}{rcl}
{-\pi e^x} & \mbox{for}
& -\pi < x < 0 \\
{\pi e^{ -x}} & \mbox{for} & 0 < x < \pi
\end{array}\right. [/tex]

And the Fourier series for g(x) is as follows:

[tex]

\sum_{n=0}^\infty \frac{2n}{n^2+1}(1 - (-1)^n e^{-\pi})\sin{nx}

[/tex]

What is the sum of this series given [tex] x = \frac{\pi}{2} [/tex] and [tex]x = \frac{3\pi}{2} [/tex]?


The Attempt at a Solution



We've tried googeling, adressing the textbook on the subject (Kreyzig's Advanced Engineering Mathematics), but have yet to find a solution to this problem. Any help would be greatly appreciated! :)
 
Physics news on Phys.org
  • #2
Assuming the Fourier transform is correct, your function g(x) is continuous at x=pi/2. Can't you find the sum of the series by finding the value of g(pi/2)? Your other value is outside the range of definition of g(x) but your transform should converge to a periodic extension of g(x), right?
 
  • #3
Thank you very much! :)

We managed to get the first one right (pi/2) by simply inserting the value into the function as suggested.

However, we are a bit more puzzeled about the second part of the task. How do we go about finding that periodic extension of g(x)? (and how do we show that the Fourier series converges to it?
 
  • #4
Since the Fourier series for g involves only sines, g is an odd function: that is it is extended exactly as it is with period [itex]2\pi[/itex].

For x between [itex]\pi[/itex] and [itex]2\pi[/itex], [itex]g(x)= -\pi e^x[/itex].
 
  • #5
We get it now, thank you both very much! :D
 
  • #6
HallsofIvy said:
Since the Fourier series for g involves only sines, g is an odd function: that is it is extended exactly as it is with period [itex]2\pi[/itex].

For x between [itex]\pi[/itex] and [itex]2\pi[/itex], [itex]g(x)= -\pi e^x[/itex].

Surely you don't mean that. It is an appropriate translation of [itex]-\pi e^x[/itex] to the new interval.
 

What is a Fourier Series?

A Fourier Series is a mathematical representation of a periodic function as a sum of sinusoidal functions. It is used to analyze and approximate complex waveforms, and has applications in many fields such as engineering, physics, and signal processing.

How is the sum of a Fourier Series calculated?

The sum of a Fourier Series is calculated using the Fourier coefficients, which are obtained by projecting the original function onto a set of orthogonal basis functions (usually sine and cosine). These coefficients are then used to construct the Fourier Series as a sum of these basis functions.

What is the significance of the Fourier Series?

The Fourier Series is significant because it allows us to represent complex and non-periodic functions as a sum of simpler and periodic functions. This makes it easier to analyze and manipulate these functions in various applications, such as signal processing and data compression.

What is the difference between a Fourier Series and a Fourier Transform?

A Fourier Series is used to represent a periodic function, while a Fourier Transform is used to analyze and represent non-periodic functions. The Fourier Transform is a generalization of the Fourier Series, and it allows us to represent a function as a continuous spectrum of frequencies rather than a discrete set of harmonic frequencies.

What are some real-world applications of the Fourier Series?

The Fourier Series has many practical applications, such as in audio and image compression, data analysis and signal processing, and in solving differential equations. It is also used in fields such as physics, engineering, and economics to model and understand complex phenomena.

Similar threads

  • Calculus and Beyond Homework Help
Replies
3
Views
286
  • Calculus and Beyond Homework Help
Replies
1
Views
216
  • Calculus and Beyond Homework Help
Replies
3
Views
416
  • Calculus and Beyond Homework Help
Replies
16
Views
564
  • Calculus and Beyond Homework Help
Replies
1
Views
535
  • Calculus and Beyond Homework Help
Replies
2
Views
372
  • Calculus and Beyond Homework Help
Replies
1
Views
344
  • Calculus and Beyond Homework Help
Replies
3
Views
365
  • Calculus and Beyond Homework Help
Replies
6
Views
914
  • Calculus and Beyond Homework Help
Replies
6
Views
2K
Back
Top