Continuous Periodic Fourier Series - Coefficients

In summary, the 1/pi factor in the inner product of <cn|f> is necessary for the expansion to converge to F, rather than pi*f. It arises due to the length of the interval over which you are integrating.
  • #1
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Homework Statement



In the dirac notation, inner product of <f|g> is given by ∫f(x)*g(x) dx.

Why is there a 1/∏ attached to each coefficient an, which is simply the inner product of f and that particular basis vector: <cn|f>?

Homework Equations



fourier2.png

The Attempt at a Solution



fourier1.png
 
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  • #2
Ah, I see why. The 1/pi came from both the |cn> and <cn|f>.
 
  • #3
Actually, your inner product should have limits of integration, which is the period of f; otherwise your inner product is not a number as it should be. Your multipliers of ##1/\sqrt \pi## or anything else make no difference whatever to the orthogonality. They are used to set the length of each basis element to 1, but I think you need a factor of ##1/2\pi## (if you are integrating from ##-\pi \text{ to } \pi##.

If you compute the coefficients then they turn out to be ##a_n = (1/\pi) \int_{-\pi}^{\pi}f(t)cos(nt)dt## and similarly for the sin coefficients. The coefficient ##1/\pi## is really 2/P where P is the period of f. So if the period is ##2\pi## you will wind up with ##1/\pi##.
It arises due to the length of the interval over which you are integrating.

Specifically, we want the Fourier expansion to converge to F, and without that factor it will converge to ##\pi f##.
 

1. What is a continuous periodic Fourier series?

A continuous periodic Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions with different amplitudes and frequencies. It is used to break down a complex periodic function into simpler components, making it easier to analyze and manipulate mathematically.

2. What are the coefficients in a continuous periodic Fourier series?

The coefficients in a continuous periodic Fourier series are the amplitudes of the sine and cosine functions that make up the series. They are calculated through a process called Fourier analysis, which involves integrating the original function with the sine and cosine functions over one period.

3. How are the coefficients determined in a continuous periodic Fourier series?

The coefficients in a continuous periodic Fourier series are determined through a process called Fourier analysis. This involves finding the integral of the original function with the sine and cosine functions over one period. The resulting coefficients represent the amplitudes of the respective sine and cosine functions in the series.

4. What is the significance of the coefficients in a continuous periodic Fourier series?

The coefficients in a continuous periodic Fourier series have significant mathematical and practical implications. They allow us to break down a complex periodic function into simpler components, making it easier to analyze and manipulate. They also help us understand the behavior of the original function in terms of its frequency and amplitude components.

5. Can the coefficients in a continuous periodic Fourier series be negative?

Yes, the coefficients in a continuous periodic Fourier series can be negative. This occurs when the original function has both positive and negative values over one period, resulting in a mix of positive and negative amplitudes in the series. The negative coefficients represent the negative amplitude components of the function, which are essential for accurately representing the original function.

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