Fourier Problem by observation

B) will show only one zero at \frac{\pi}{2\omega}.In summary, the conversation discusses the possibility of solving a problem involving a step function and Fourier series using observation only. The correct answer is option (B) because the given function is symmetric about t= \frac{\pi}{2\omega} and (B) shows only one zero at \frac{\pi}{2\omega}, while (A) shows two zeros.
  • #1
neelakash
511
1
I want to solve this by observation:

Consider a step function:

F(t)=1 for 0<t< [tex]\frac{\pi}{\omega}[/tex]

F(t)=-1 for -[tex]\frac{\pi}{\omega}[/tex]<t<0

and the same pattern is repeated over time.

What should be the Fourier Series:

(A) [tex]\frac{4}{\pi}[/tex] [tex]\sum^\infty_1\frac{sin(n\omega\ t )}{n}[/tex]


(B) [tex]\frac{4}{\pi}[/tex] [tex]\sum^\infty_0\frac{sin(2n+1)\omega\ t }{2n+1}[/tex]



It is easy to check that the actual answer is (B);but I want to see if this can be seen by observation only...(A) and (B) differe in that (A) contains the even terms as well where (B) lacks them...

Can anyone say something if it could be done by using observation?
 
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  • #2
OK,realize that the given function is symmetric about
[tex]\ t= [/tex][tex]\frac{\pi}{2\omega}[/tex]

Then,try to sketch the graphs of even terms of sine (like n=2,n=4...) adjusting the scale on the t axis.(A) will show zeros at [tex]\frac{\pi}{2\omega}[/tex]
 
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  • #3



By observation, we can see that the given step function has a period of 2π/ω. This means that the Fourier series should only contain odd terms, since the even terms would cancel out due to the symmetry of the function. This observation leads us to option (B), which only contains odd terms. Additionally, we can also observe that the amplitude of the function is 1, which is reflected in the coefficient of 4/π in both options. Therefore, by analyzing the period and amplitude of the function, we can deduce that the correct Fourier series is (B).
 

Related to Fourier Problem by observation

What is the Fourier Problem by observation?

The Fourier Problem by observation is a mathematical problem that involves representing a complex signal as a combination of simpler, periodic signals. It was first introduced by French mathematician Joseph Fourier in the 19th century and has since been widely used in fields such as physics, engineering, and signal processing.

How does the Fourier Problem by observation work?

The Fourier Problem by observation works by breaking down a complex signal into its individual frequency components using the Fourier transform. This allows for a better understanding of the underlying patterns and structures within the signal. The inverse Fourier transform can then be used to reconstruct the original signal from its frequency components.

What are some applications of the Fourier Problem by observation?

The Fourier Problem by observation has a wide range of applications, including image and sound processing, data compression, signal filtering, and solving differential equations. It is also used in fields such as astronomy, economics, and neuroscience to analyze and understand complex data.

What are the limitations of the Fourier Problem by observation?

While the Fourier Problem by observation is a powerful tool for analyzing signals, it does have some limitations. It assumes that the signal is periodic and stationary, which may not always be the case in real-world scenarios. It also cannot accurately capture sudden changes or discontinuities in a signal, known as Gibbs phenomenon.

What are some alternative methods to the Fourier Problem by observation?

There are several alternative methods to the Fourier Problem by observation, such as the wavelet transform, which allows for better localization of frequency components in a signal. Other methods include the Laplace transform, the Z-transform, and the Hilbert transform, each with its own advantages and applications.

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