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Additive FFT Explained: Fast Fourier Transforms over Binary Fields

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Additive FFT Explained: Fast Fourier Transforms over Binary Fields
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The article explores the application of Fast Fourier Transforms (FFT) over binary fields, focusing on additive structures instead of multiplicative ones to enable efficient polynomial evaluation and interpolation. It introduces the Additive FFT, based on David Cantor's work, which uses linearized polynomials and additive subgroups to overcome the lack of sufficient roots of unity in finite fields of characteristic 2. This approach supports cryptographic applications such as Reed-Solomon encoding and polynomial commitments in systems like BINIUS.

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LambdaClass Blog
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Original publisherLambdaClass Blog
Canonical URLhttps://blog.lambdaclass.com/additive-fft-background/
Publication timeSun, 17 May 2026 05:40:25 +0000
Retrieval time2026-05-17T06:03:59.095Z
Last seen2026-05-17T06:03:59.095Z
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Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Additive FFT Explained: Fast Fourier Transforms Over Binary Fields LambdaClass 17 Jun 2025 • 14 min read Share Warning: This post is more math heavy than other articles. Introduction In this article we continue our study of towers of binary fields, motivated by the proposal of Diamond and Posen for a complete protocol working over fields of characteristic 2, BINIUS. Previously we covered basic arithmetic of field elements in a tower of binary fields, namely Wiedemann's iterative quadratic extension of $\mathbb{F_2}$. We address the problem of evaluating and interpolating polynomials with coefficients in such fields, with cryptographic applications in mind.

Excerpt limited to ~120 words for fair-use compliance. The full article is at LambdaClass Blog.

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