Fourier Derivation: Constants in Integrals Explained

In summary, the constants in front of the integrals for a_0, a_n, and b_n come from the integration range and the properties of the cosine and sine basis functions. The factor of 2 for a_n and b_n is derived from the fact that ##\int_0^{2\pi} sin^2 (t) dt = \frac{1}{2} 2 \pi##, which is different from the previous case where ##\int_0^{2\pi} 1^2 dt = 2 \pi##.
  • #1
iScience
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during these first few steps, where did the constants in front of the integrals come from for a_0,a_n, b_n?


http://i.imgur.com/rky0mdf.png


(wasn't sure whether to post this as a separate topic or back with the other one)
 
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  • #2
From the integration range. Imagine a constant function, for example. The integral over the function from -lambda/2 to lambda/2 is then given by lambda*f(x). In order to match the definition above, you have to divide by lambda to get it right. The same applies to the sine and cosine terms, but in a more complicated way for the factor of 2.
 
  • #3
okay that makes sense. but for the a_n and b_n terms, multiplying by two; I've see this is my textbook, but they did that when they went from zero to lambda/2, and then multiplied by two, since they were dealing with an even function. but that doesn't seem to be what's happening here. could you elaborate on the more complicated way for obtaining the two factor?
 
  • #4
It comes from the fact that ##\int_0^{2\pi} sin^2 (t) dt = \frac{1}{2} 2 \pi##. This is different from the previous case where you had ##\int_0^{2\pi} 1^2 dt = 2 \pi##.
 
  • #5
am i on the right track for deriving the coefficient?


http://i.imgur.com/RzeR8dL.jpg
 
  • #6
Try and calculate ##\int_{-\lambda/2}^{\lambda/2} f(x)\cos(k_n x) dx ##. Remember the properties of the cosine and sine basis.
 

1. What is Fourier derivation?

Fourier derivation is a mathematical process used to find the constants in integrals, specifically in the context of Fourier series and Fourier transforms. It involves manipulating the original equation to solve for the unknown constants, which are essential for accurately representing a function as a series of sinusoidal functions.

2. Why is it important to find the constants in integrals?

Finding the constants in integrals allows us to accurately represent a function as a series of sinusoidal functions, which is useful in many areas of science and engineering. It also allows us to solve differential equations and understand the behavior of complex systems.

3. How does Fourier derivation work?

Fourier derivation involves using the properties of sinusoidal functions to manipulate the original equation and solve for the unknown constants. This is done by taking the Fourier transform of the original equation, setting the coefficients of the transformed equation equal to zero, and solving the resulting system of equations for the unknown constants.

4. What is the relationship between Fourier derivation and Fourier analysis?

Fourier derivation is a specific method used in Fourier analysis, which is a mathematical technique for decomposing a complex signal into simpler sinusoidal components. Fourier analysis is used in a wide range of scientific and engineering fields to understand and analyze complex systems.

5. What are some applications of Fourier derivation?

Fourier derivation has many applications in various fields, including signal processing, image and sound compression, quantum mechanics, and fluid dynamics. It is also used in solving partial differential equations and understanding the behavior of complex systems in physics, engineering, and mathematics.

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