Real vs. Complex Spectral Bases for Neural Operators: The Role of Green's Function Alignment

arXiv·low signal

This paper analyzes when real versus complex spectral bases are optimal for Fourier Neural Operators (FNO) learning PDE solution operators, tying the choice to alignment with the underlying Green's function. A niche but rigorous result for practitioners applying neural operators to scientific and physics ML.