Information-theoretic analysis of complex eigenmodes across avoided crossings in open microcavities
- URL: http://arxiv.org/abs/2509.19827v2
- Date: Thu, 25 Sep 2025 03:46:57 GMT
- Title: Information-theoretic analysis of complex eigenmodes across avoided crossings in open microcavities
- Authors: Kyu-Won Park, Soojoon Lee, Kabgyun Jeong,
- Abstract summary: Open microcavities with complex eigenfrequencies offer a convenient platform to observe how openness and loss reorganize modal structure.<n>We introduce a compact emphquadrature space framework that represents a complex QNM by probability weights on its real and imaginary quadratures.<n>Applying the method to AC regions, we find that delocalization is driven not only by broadening of individual quadratures but also by a pronounced increase in internal correlation near at the AC.
- Score: 0.38233569758620045
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Avoided crossings (ACs) are hallmark signatures of mode interaction in quantum and wave systems. Open microcavities whose resonances are naturally described as quasi-normal modes (QNMs) with complex eigenfrequencies offer a convenient platform to observe how openness and loss reorganize modal structure. We introduce a compact \emph{quadrature space} framework that represents a complex QNM by probability weights on its real and imaginary quadratures, and we apply Shannon-type measures to these distributions. This representation separates marginal spreading of each quadrature from inter quadrature correlation and is robust to nodal sets and exterior zero amplitude points. Applying the method to AC regions, we find that delocalization is driven not only by broadening of individual quadratures but also by a pronounced increase in internal correlation near at the AC, revealing an internal reorganization of resonant modes in non-Hermitian settings. The approach is broadly transferable to other open resonator platforms and provides a general information-theoretic diagnostic for openness-driven mode interactions.
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