This work models communication dynamics in a layered framework, implying new insights into information processing.
This work introduces a unified communication field theory derived from retina-inspired perception operators, frequency-structured information coding, and artificial-intelligence-based pattern communication. The theory models information as a spatio-spectral field Psi(x,t,f), where spatial, temporal, and spectral dimensions form a unified representation space for structured signal propagation. To describe realistic communication environments, the framework extends classical signal-plus-noise models by introducing an adaptive membrane architecture that guides structured loss, dissipation, and distortion away from the information-bearing core. The resulting architecture separates communication dynamics into three interacting layers: core signal transport, guided loss membrane, and residual background noise. This decomposition enables a unified treatment of communication, information geometry, thermodynamic dissipation, entropy production, and AI-driven signal interpretation within a single mathematical framework. The work includes a mathematical core, theorem–lemma–proof formalization, stability theory, curvature-coupled dynamics, bifurcation analysis, geodesic routing, and numerical validation. This upload presents a unified theoretical framework connecting: - retina-inspired perception operators - frequency-structured information coding - AI–AI communication field formalism - Spatio-Spectral Information Dynamics - Adaptive Thermo-Data Membrane Architecture - information geometry and curvature coupling - geodesic routing and network information curvature - entropy production and structured irreversibility - numerical validation The central model treats communication not merely as signal plus noise, but as a layered spatio-spectral field: Psi_tot = Psi_c + Psi_m + Psi_r where the core field carries structured payload, the membrane field guides structured loss and dissipation, and the residual field captures non-structured background disturbance. A central conceptual principle of the work is: loss is not forbidden; loss is guided. The package includes the mathematical core, theorem–lemma–proof structures, membrane-architecture extensions, stability results, entropy formulations, routing geometry, and publication-compatible numerical material. All rights reserved.
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Norbert Ferenc Nagy (2026) studied this question.
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