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The Fast Fourier Transform (FFT) stands as one of computing’s most elegant bridges between abstract mathematics and real-world utility. At its core, the FFT transforms complex signal analysis by recursively decomposing data across scales—reducing computational complexity from O(n²) to O(n log n). This leap in efficiency enables everything from real-time audio processing to high-precision scientific simulations. But beyond speed, the FFT reveals a deeper structural truth: complexity emerges from local rules, and global patterns arise from recursive decomposition—principles mirrored not just in algorithms, but in dynamic systems like Conway’s Game of Life and the viral spread in Chicken vs Zombies.


