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Introduction to Complex Numbers, Polynomials, and Fast Fourier Transform (FFT)

The concept of complex numbers arises from the need to solve equations like \(x^2 + a = 0\) which have no solution in the set of real numbers. To address this, the imaginary unit 'i' is introduced, defined by \(i^2 = -1\). A complex number is then represented in the form \(a + bi\), where \(a\) and...

Fast Fourier Transform for Polynomial Multiplication: Theory and Implementation

Complex Number Fundamentals Representations A complex number $z$ admits three canonical forms: Cartesian: $z = a + bi$, where $i^2 = -1$ Polar: $z = r(\cos\theta + i\sin\theta)$, with $r = |z|$ and $\theta = \arg(z)$ Euler: $z = re^{i\theta}$ via Taylor expansion equivalence De Moivre's Theorem For...