What Properties of Fourier Series Are Revealed by This Equation Transformation?

In summary, a Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions with different frequencies and amplitudes. It is important in mathematics and engineering because it can be used to approximate any periodic function and analyze the frequency components of a signal. The series is calculated by finding the coefficients of the sine and cosine terms using integration and then summing them, a process known as Fourier analysis. A key difference between a Fourier series and Fourier transform is that the series is used for periodic functions while the transform is used for non-periodic functions. Applications of Fourier series include signal processing, image and sound compression, solving differential equations, and studying waves and vibrations in physics and engineering.
  • #1
nacho-man
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Is there some properties I should be aware of?

after making the relevant substitutions, I ended up with

$2 = 1 + \sum\nolimits_{m=0}^\infty \frac{4}{(2m+1)\pi}\sin(\frac{(2m+1)\pi}{2})$

but I can't get past this
 

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  • #2
nacho said:
Is there some properties I should be aware of?

after making the relevant substitutions, I ended up with

$2 = 1 + \sum\nolimits_{m=0}^\infty \frac{4}{(2m+1)\pi}\sin(\frac{(2m+1)\pi}{2})$

but I can't get past this

Rearrange to:

\(\displaystyle \frac{\pi}{4}=\sum_{m=0}^\infty \frac{1}{2m+1}\sin\left(\frac{(2m+1)\pi}{2}\right)\)

and ask yourself what values does the sine of odd half multiples of \(\displaystyle \pi \) take?

.
 

FAQ: What Properties of Fourier Series Are Revealed by This Equation Transformation?

What is a Fourier series?

A Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions with different frequencies and amplitudes.

What is the importance of Fourier series?

Fourier series are important in mathematics and engineering because they can be used to approximate any periodic function and analyze the frequency components of a signal.

How is a Fourier series calculated?

A Fourier series is calculated by finding the coefficients of the sine and cosine terms using integration and then summing them to create the series. This process is called Fourier analysis.

What is the difference between a Fourier series and a Fourier transform?

A Fourier series is used for periodic functions, while a Fourier transform is used for non-periodic functions. A Fourier series has discrete frequency components, while a Fourier transform has continuous frequency components.

What are some applications of Fourier series?

Fourier series have many applications in various fields, including signal processing, image and sound compression, and solving differential equations. They are also used in the study of waves and vibrations in physics and engineering.

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