Observation-Adapted Lyapunov Extensions

We study triangular random linear cocycles whose invariant reducing graphs need not be measurable from the available observation filtration. Observation-adapted extension classes quantify this obstruction, while past and future Green operators, bounded cohomological resolvents, Markov compression, and partial Gaussian observations determine when and how the graph can be recovered.