Proving the Continuity of Fourier Transform in the Limit as L Tends to Infinity

In summary, the Fourier transform is a generalization of the complex Fourier series where the discrete A(n) is replaced by the continuous F(k)dk as L tends to infinity. This can be done by changing the sum to an integral. This can be proven rigorously from the definition of Fourier series.
  • #1
henry wang
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fourierSeries.png

Quote: "The Fourier transform is a generalization of the complexFourier series in the limit as [PLAIN]http://mathworld.wolfram.com/images/equations/FourierTransform/Inline1.gif. Replace the discrete http://mathworld.wolfram.com/images/equations/FourierTransform/Inline2.gif with the continuous
Inline3.gif
while letting [PLAIN]http://mathworld.wolfram.com/images/equations/FourierTransform/Inline4.gif. Then change the sum to an integral, and the equations become
Inline5.gif
Inline6.gif
Inline7.gif

(1)
Inline8.gif
Inline9.gif
Inline10.gif

"
From: http://mathworld.wolfram.com/FourierTransform.html
Why can we replace A(n) with F(k)dk as L tends to infinity? I know that A(n) will be continues as L tends to infinity, but I can't make sense of F(K)dk.
Can I just let A(n)=F(k)dk or can I proof this from the definition of Fourier series rigorously?
 
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  • #2
Thx I solved it.
 

Related to Proving the Continuity of Fourier Transform in the Limit as L Tends to Infinity

1. What is Fourier Transform?

Fourier Transform is a mathematical operation that converts a function of time or space into a function of frequency. It is used to analyze the frequency components of a signal or a function.

2. Why is Fourier Transform important?

Fourier Transform is important because it allows us to understand the frequency components of a signal, which is crucial in many fields such as signal processing, image processing, and data analysis. It helps us identify patterns and extract useful information from signals.

3. How does Fourier Transform work?

Fourier Transform works by decomposing a function into its individual frequency components. It converts a function from its time or space domain into its frequency domain, where the amplitude of each frequency component is represented.

4. What is the difference between Fourier Transform and Inverse Fourier Transform?

The Fourier Transform converts a function from its time or space domain into its frequency domain, while the Inverse Fourier Transform does the opposite, converting a function from its frequency domain back to its time or space domain. In other words, the Fourier Transform analyzes the frequency components of a signal, while the Inverse Fourier Transform synthesizes a signal from its frequency components.

5. How is Fourier Transform used in real life?

Fourier Transform has numerous applications in real life, such as in signal processing for audio and image compression, in data analysis for identifying patterns and trends, in medical imaging for analyzing brain activity, and in physics for solving differential equations and studying wave phenomena.

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