Objective Thermodynamic Collapse: Resolving the Quantum Measurement Problem via Infodynamic Bandwidth Saturation

The quantum measurement problem has persisted largely because standard formalisms require the insertion of an external observer to collapse the wavefunction. This leaves physics without a kinematic mechanism for the actual transition from a continuous superposition to a discrete outcome. We propose here that wavefunction collapse functions as a deterministic thermodynamic phase transition, forced via the finite processing memory of the spatial vacuum. Operating within the Symbiotic Infodynamic Equilibrium (SIE) framework, we model the macroscopic vacuum as a discrete, finite-capacity Face-Centered Cubic (FCC) relational graph. A quantum superposition is evaluated here as an unformatted data-routing state distributed across this lattice. We show that maintaining this coherent spatial distribution imposes a linear infodynamic memory burden on the substrate. As the spatial extent or the mass of the superposed system increases, this informational burden intersects with the intrinsic holographic capacity of the localized state. Setting this microscopic capacity (S_cap proportional to M^-2) equal to the macroscopic Bekenstein-Hawking entropy (S_BH proportional to M^2) derives a first-principles boundary for quantum behavior (M_cut = m_P / sqrt(2)). We structurally redefine observation not as a conscious act of measurement, but as an entanglement-driven mass transfer. When a microscopic system interacts with a macroscopic apparatus, the aggregate mass penalty breaches the local bandwidth limit of the vacuum, thereby forcing a deterministic formatting of the state. This infodynamic bandwidth saturation yields explicit spatial (delta x_max proportional to M^-3) and temporal limits for objective reduction, while predicting a falsifiable discrete Landauer thermal purge detectable via macroscopic optomechanical interferometry.