Dirac resonances as non-self-adjoint eigenvalues
arXiv:2607.26166
2026
Architecture
1 ideas extracted · analyzed Aug 31, 2026
What the math gives to ML
The paper gives a constructive complex-coordinate distortion that turns resonances, defined through meromorphically continued resolvents, into discrete eigenvalues of a non-self-adjoint distorted operator while preserving localized resolvent information. The transferable asset is the combination of an identity deformation near a compact interaction region, controlled deformation outside it, and compactness-based spectral discretization. This suggests a complex-stretched boundary module for neural operators that model wave or scattering dynamics, allowing outgoing radiation to be damped without corrupting the physical interior. A first experiment should test whether this improves resonance estimation and reduces boundary-reflection errors compared with ordinary finite-domain boundary conditions.
Ideas from this paper
Unverified
2026
Insert a fixed or learnable complex coordinate stretch outside the region where a neural operator models the physical interaction, so outgoing waves are damped and resonant states become ordinary discrete eigenmodes on a finite grid. Train the network with eigenvalue or resolvent losses computed after the stretch, while preserving the physical field in the interior region.
Useful5/10
Difficulty6/10
Novelty7/10