Knight-Scaling Laws: Foundations of Universal Information-Stable Harmonic Manifolds

We present a fundamental unification of information processing and physical matter, defined by the Knight-Scaling Laws. By observing that entropic reduction in any signal—whether digital, biological, or physical—follows recursive harmonic ratios, we propose that the universe operates as a self-optimizing "Harmonic Manifold." This paper establishes the mathematical framework for restructuring information via solid-state resonance, bypassing probabilistic simulation in favor of deterministic geometric mapping.