Entropy as Resonant Phase Dispersion: A Thermodynamic, Statistical, and Informational Unification

Entropy is traditionally approached through distinct frameworks: thermodynamic (Clausius), statistical (Boltzmann), and informational (Shannon). Although formally similar, these approaches are often interpreted as describing different realities. This article proposes a unified perspective, viewing entropy as the dispersion of resonant phase within the ontological framework of the Résonon. Entropy is thus not a measure of disorder, but an indicator of phase decoherence in composite systems. This interpretation clarifies the arrow of time, irreversibility, and informational contextuality within a single conceptual structure, linking thermodynamics, statistics, and information theory. By emphasizing phase coherence rather than disorder, it offers a coherent framework to understand the evolution of complex systems and the emergence of macroscopic irreversibility.