Bounded Local Generator Classes for Deterministic State Evolution
It provides a theoretical framework for decoupling global state capacity from incremental computational work in large-scale graph-indexed systems.
The paper defines a bounded local generator class (BLGC) for deterministic state evolution on graph-indexed systems, showing that per-step operator work is independent of total system size (W_t = O(1) as M → ∞).
We define a bounded local generator class (BLGC) for deterministic state evolution on graph-indexed systems. The construction consists of finite-range generators operating on bounded local state under deterministic composition. Each update acts only on a bounded-radius neighborhood and applies a bounded local transformation with projection onto a compact state domain. Under the BLGC constraints, per-step operator work remains independent of total system size M. Specifically, incremental update cost satisfies $W_t = O(1)$ with respect to $M \to \infty$ for fixed interaction radius $r$. The framework admits a Hilbert-space embedding in $\ell^2(V)\otimes \mathbb{R}^d$ and yields bounded operators under composition on admissible subspaces. The result establishes a structural decoupling between global state capacity and incremental computational work. The claims apply specifically to the bounded local generator class defined in this paper.