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The discrete Fourier transform

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Abstract

The n-th roots of unity are the roots of the polynomial x n — 1 in the complex field. We know that they are all distinct because the polynomial is coprime with its derivative, and that they are all powers of one of them, a primitive root ω = e 2πi/n:

$$ 1,w,{w}^2,\dots, {w}^{n-1}, $$

with w n = 1. (Recall that the primitive roots w k are those for which (k, n) = 1, so that their number is φ(η), where φ is Euler’s function.) Since 1 is a root of x n−1, this polynomial is divisible by x−1, with quotient 1+x+x 2 +…+x n−1, and therefore all the w k, with k ≠ 0 (or, actually, k ≠ 0 mod n), satisfy the equation:

$$ 1+x+{x}^2+\cdot \cdot \cdot +{x}^{n-1}=0. $$
(5.1)

In particular, for x = w we see that the sum of all the n-th roots of unity is zero, 1 + w + w 2 +···+ w n-1 = 0. Moreover, since |w| = 1, we have |w|k = 1, so that \( {w}^k{\overline{w}}^k={\left|{w}^k\right|}^2=1 \), from which

$$ {\overline{w}}^k=\frac{1}{w^k}={w}^{-k}. $$
(5.2)

We use formulas (5.1) and (5.2) to prove the following theorem; despite its simplicity, it will be of fundamental importance for the entire discussion.

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Notes

  1. 1.

    For simplicity, here and in what follows we denote by z the column vector formed by the elements of the n-tuple z, rather than by z t (t denoting transposition), as it should be.

  2. 2.

    According to some authors, this U is the Fourier matrix; according to others the Fourier matrix is Ū,and (5.6)the Fourier transform,i:e the one given by F.

  3. 3.

    By “operations” we shall mean multiplications.

  4. 4.

    The technique of subdividing a problem in independent smaller problems is known as “divide et impera” (“divide and conquer”).

  5. 5.

    Following the prevailing custom we denote here the principal character by χ 1 and not by χ 0; consequently, in this section we label the e i s starting with e 1, rather than with e 0 as we have previously done.

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© 2012 Springer-Verlag Italia

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Machì, A. (2012). The discrete Fourier transform. In: Algebra for Symbolic Computation. UNITEXT(). Springer, Milano. https://doi.org/10.1007/978-88-470-2397-0_5

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