How are complex and real Fourier coefficients related for periodic functions?

In summary, the relationship between the complex Fourier coefficient, \alpha_n, and the real Fourier coefficients, a_n and b_n, can be found by using the given formulas for periodic functions of period 2a. However, the factor of 1/2 for the coefficient \alpha_0 is not needed with the provided formulas.
  • #1
nickmai123
78
0
I have a quick question about the relationship between the complex Fourier coefficient,[tex]\alpha_n[/tex] and the real Fourier coefficients, [tex]a_n[/tex] and [tex]b_n[/tex].

Given a real-valued function, I could just find the real coefficients and plug them into the relation below, right?Fourier Coefficients for periodic functions of period 2a.
Complex Form:
[tex]\alpha_n = \frac{1}{2a}\int_{-a}^{a} f\left(t\right)e^{\frac{-jn\pi t}{a}dt[/tex]

Real Form:
[tex]a_0 = \frac{1}{a}\int_{-a}^{a} f\left(t\right)dt[/tex]

[tex]a_n = \frac{1}{a}\int_{-a}^{a} f\left(t\right) cos\left(\frac{n\pi t}{a}\right)dt[/tex]

[tex]b_n = \frac{1}{a}\int_{-a}^{a} f\left(t\right) sin\left(\frac{n\pi t}{a}\right)dt [/tex]

Relation
[tex]\alpha_n = \left\{
\begin{array}{lr}
\frac{1}{2}\left(a_n + jb_n\right) & : n < 0\\ \\
\frac{1}{2}a_0 & : n = 0\\ \\
\frac{1}{2}\left(a_n - jb_n\right) & : n > 0
\end{array}
\right.[/tex]
 
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  • #2
Yup, except that [itex]\alpha_0 = a_0[/itex]. The factor of 1/2 for that coefficient isn't needed with the formulas you're using.
 
  • #3
Thanks.
 

FAQ: How are complex and real Fourier coefficients related for periodic functions?

What are Fourier coefficient relations?

Fourier coefficient relations are mathematical relationships that describe the coefficients in a Fourier series, which is a mathematical representation of a periodic function. These relations help to determine the amplitude and phase of each frequency component in the series.

Why are Fourier coefficient relations important?

Fourier coefficient relations are important because they allow us to analyze complex periodic functions using simpler trigonometric functions. This makes it easier to study and understand the behavior of these functions, and also allows us to approximate them with a finite number of terms.

How do Fourier coefficient relations relate to the Fourier transform?

The Fourier transform is an extension of Fourier series to non-periodic functions. In the Fourier transform, the Fourier coefficient relations are used to determine the spectrum of frequencies present in a non-periodic function. This allows us to analyze and manipulate non-periodic signals in the frequency domain.

What is the difference between Fourier coefficient relations and Fourier series?

Fourier coefficient relations are the mathematical equations that describe the coefficients in a Fourier series. A Fourier series, on the other hand, is a representation of a periodic function as a sum of simple trigonometric functions. In other words, the relations are used to determine the coefficients in the series, which then represent the original function.

How are Fourier coefficient relations used in real-world applications?

Fourier coefficient relations are used in a wide range of real-world applications, such as signal processing, image and audio compression, and data analysis. They are also essential in fields like physics and engineering, where periodic functions are commonly encountered, such as in wave phenomena and electronic circuits.

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