Passivity constraints on the relations between transmission, reflection, and absorption eigenvalues
Cheng Guo, Shanhui Fan

TL;DR
This paper characterizes the passivity constraints on transmission, reflection, and absorption eigenvalues in linear systems, revealing a convex polyhedral structure and connecting wave physics with matrix theory.
Contribution
It provides the first complete characterization of eigenvalue constraints in passive wave systems, linking physical phenomena with Horn's inequalities in matrix analysis.
Findings
Eigenvalue combinations form a convex polyhedron.
Constraints become more complex with larger systems.
Connections to Horn's inequalities and wave phenomena.
Abstract
We investigate the passivity constraints on the relations between transmission, reflection, and absorption eigenvalues in linear time-invariant systems. Using techniques from matrix analysis, we derive necessary and sufficient conditions for the permissible combinations of these eigenvalues. Our analysis reveals that the set of allowable eigenvalue combinations forms a convex polyhedron in eigenvalue space, characterized by a trace equality and a set of linear inequalities. Surprisingly, we uncover a direct connection between this physical problem and Alfred Horn's inequalities, a fundamental result in matrix theory. We provide explicit examples for systems with varying numbers of input ports, demonstrating the increasing complexity of the constraints as system size grows. We apply our theory to analyze the implications of important phenomena, including open and closed channels,…
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Taxonomy
TopicsAnalytical Chemistry and Sensors · Photonic and Optical Devices
