Time-Scaled Intertwining Cocycles and Identifiability of Multi-Semigroup Mixtures on Hilbert Operator Networks
Anton Alexa

TL;DR
This paper characterizes when a network of dissipative semigroups admits time-scaled cocycles, linking spectral properties to the structure and identifiability of multi-semigroup mixtures on Hilbert operator networks.
Contribution
It provides a complete characterization of time-scaled cocycles in dissipative semigroup networks and establishes conditions for spectral and eigenspace-based identifiability.
Findings
Operators form a flat Hilbert bundle with rigid scaling factors.
Mixture observables reduce to structured exponential sums under spectral support.
Finite samples enable exact reconstruction and stability bounds.
Abstract
We prove that a network of dissipative semigroups admits time-scaled cocycles , , if and only if the renormalized generators form a common isospectral class with matching eigenspace dimensions; the scaling factors are then rigid, , and eigenspaces transport isomorphically across sectors. The operators constitute parallel transport in a flat Hilbert bundle over the index network; flatness follows from the intertwining constraints, not assumed. The mixture observable reduces under finite spectral support to a structured exponential sum. Under spectral separation, sector tags are uniquely recoverable; under eigenspace observability, active state components are determined.…
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Neural Networks Stability and Synchronization · Numerical methods in inverse problems
