Ambiguity about roots of unity in discrete Fourier transform

Click For Summary
SUMMARY

The discussion centers on the discrete Fourier transform (DFT) and its relationship with the N roots of unity. The DFT acts as a change of basis operator on C^N, transitioning between the standard orthonormal basis and the Fourier basis, which consists of vectors formed from powers of the N roots of unity. The ambiguity regarding the uniqueness of roots in complex analysis is addressed, clarifying that in the context of DFT, finite fields are utilized to ensure a unique representation by considering only one cycle on the circle. This distinction is crucial for accurately determining the first entry of the Fourier basis vector, which is represented as e^{\frac{2 \pi i }{N}}.

PREREQUISITES
  • Understanding of discrete Fourier transform (DFT)
  • Familiarity with complex analysis concepts
  • Knowledge of N roots of unity
  • Basic principles of finite fields
NEXT STEPS
  • Explore the mathematical foundations of discrete Fourier transform
  • Study the properties and applications of N roots of unity
  • Learn about finite fields and their role in signal processing
  • Investigate the implications of unique representations in Fourier analysis
USEFUL FOR

Mathematicians, signal processing engineers, and computer scientists interested in the theoretical aspects of the discrete Fourier transform and its applications in various fields.

CantorSet
Messages
44
Reaction score
0
Hi everyone, I have a question on the discrete Fourier transform. I already know its a change of basis operator on C^N between the usual orthonormal basis and the "Fourier" basis, which are vectors consisting of powers of the N roots of unity.

But if i recall correctly from complex analysis, the root of a complex number is not unique. So for example, if we look at the first entry of the first Fourier basis vector, it is e^{\frac{2 \pi i }{N}}. But there are N solutions here. Which one is the actual first entry in the first Fourier basis vector?
 
Physics news on Phys.org
We do not use the usual complex analysis in the calculus of discrete Fourier transformations. Instead finite fields are used, that is we consider only one cycle on the circle and do not circulate, which makes it unique. If temporary or final results do circle, then additional information from the application is needed to determine which one.
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 8 ·
Replies
8
Views
4K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 17 ·
Replies
17
Views
3K
  • · Replies 43 ·
2
Replies
43
Views
8K
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K