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Theoretical analysis demonstrates asymptotic sufficiency depth extensions across path laws and jump processes, establishing structural limits for dynamic statistical reduction.
This volume extends asymptotic sufficiency depth from finite static experiments to finite-horizon path laws and continuous-time jump processes. It develops finite-summary Kullback–Leibler dynamic programming with weak-noise jets, horizon–noise crossover regimes, corrected route-competition decompositions that retain route-internal information, and continuous-time Markov path decompositions into endpoint, count, sequence, timing, mark, and bridge layers. Counterexamples and scope restrictions identify where fixed-horizon, finite-route, and coarse-observation arguments cease to be uniform or sufficient. Reproducibility software and validation materials are archived separately in Zenodo Software, version 1.0.0, DOI 10.5281/zenodo.22289467.
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Shigeo Kaneko (2026) studied this question.
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