Demonstrates the dynamics of coherence capacity, highlighting transport and exhaustion mechanisms, suggesting deeper insights into physical processes.
We develop the dynamical theory of coherence capacity, the finite stability margin that allows a projection-based effective description to remain predictive. Building on the identification of coherence capacity as a conserved resource within admissible regimes, we show that it admits a local transport law and a divergence-free current inside coherence basins. We prove that persistent strain generically induces focusing of the capacity flow, leading to concentration, bottleneck formation, and exhaustion on codimension-one surfaces. At admissibility barriers, capacity is no longer conserved and effective evolution becomes noninvertible, yielding irreversibility as a structural necessity despite invertibility of the underlying dynamics. This transport-and-focusing picture provides the dynamical substrate for gravitational attraction, horizon formation, thermalization, and loss of memory, without modifying fundamental dynamics or introducing new degrees of freedom. The results are model-independent and follow solely from projection-based effective description with finite stability margins, completing the coherence-capacity framework by supplying its dynamics.
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Peter Nero (2026) studied this question.
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