Entropic Decoupling in Discrete Computational Spacetimes: Gravitational Suspension via Spectral Saturation
We propose a quantization of the continuous spacetime manifold into discrete computational elements (voxels) governed by a finite information processing rate, the Planck frequency. We re-derive Special Relativistic effects as computational resource starvation events within a zero-sum processing budget. By modeling the vacuum as a Lorentzian Bath, we identify Inertia as the entropic cost of error-correcting position data against this noise floor.
Entropic Decoupling in Discrete Computational Spacetimes:
Gravitational Suspension via Spectral Saturation
We propose a quantization of the continuous spacetime manifold into discrete computational elements (voxels) governed by a finite information processing rate, the Planck frequency ($\omega_P \approx 1.85 \times 10^{43}$ Hz). We re-derive Special Relativistic effects not as geometric rotations, but as computational resource starvation events within a zero-sum processing budget. By modeling the vacuum as a Lorentzian Bath of background fluctuations, we identify Inertia as the entropic cost of error-correcting position data against this noise floor. We demonstrate that the gravitational interaction is treated by the voxel as a low-priority, perturbative update (Thread C). Consequently, we hypothesize that injecting high-entropy kinematic data into a localized volume—saturating the voxel's bandwidth—forces a thermodynamic shedding of the gravitational coupling to preserve the causal integrity of the particle state.
1. Introduction
Standard General Relativity (GR) assumes a continuous differentiable manifold. However, the Bekenstein bound and the Holographic Principle suggest that the information content of any finite region is strictly limited. This implies the underlying substrate of reality acts as a finite-state machine.
In Digital Matrix Gravity (DMG), we posit that "Physical Laws" are emergent properties of an underlying scheduling algorithm running on a voxelated grid. The fundamental constraint is the System Clock ($\Omega_{\text{sys}}$). A voxel cannot process infinite updates per tick.
This paper establishes the Computational Equivalence Principle:
Physical velocity is distinguishable from acceleration only by the rate of resource consumption required to update the pointer state relative to the grid address space.
2. The Thermodynamics of the Voxel
2.1 The Zero-Sum Hamiltonian
We define the computational Hamiltonian $H_{\text{voxel}}$ for a particle state $|\psi\rangle$ residing in voxel $V_x$ as a sum of processing costs. Unlike a standard energy Hamiltonian, this represents computational cycles:
Dividing by $\hbar$, we obtain the frequency allocation budget:
Where $\Omega_{\text{sys}}$ is the Planck Frequency. The system is zero-sum; increasing the allocation for one thread necessitates the throttling of others.
2.2 Velocity as Bandwidth Starvation
In standard physics, time dilation is geometric. In DMG, it is operational. Let $\mathcal{C}$ be the cost function for transferring the state vector $|\psi\rangle$ to neighbor voxel $V_{x+1}$:
As $v \to c$, the cost of motion approaches $\Omega_{\text{sys}}$:
The voxel has zero cycles remaining to update the internal state. Time dilation is therefore a Process Lag due to I/O saturation.
3. The Lorentzian Bath and Inertial Drag
3.1 The Vacuum Spectrum
The background grid possesses a noise temperature characterized by a Lorentzian spectral density:
Where $\omega_0$ is the grid resonance frequency and $\Gamma$ is the linewidth (Planck friction).
3.2 Inertia as Signal-to-Noise Ratio
The voxel must perform Error Correction to distinguish the particle from vacuum fluctuations:
As $v \to c$, the SNR drops to zero. Relativistic mass is an Information Entropy artifact.
4. Gravitational Decoupling: The "Lag Switch"
4.1 The Priority Stack
The voxel Scheduler operates on strict priority logic:
- Thread A (State): Existence Maintenance. Priority: Critical.
- Thread B (Motion): Causality/Pointer Handoff. Priority: High.
- Thread C (Gravity): Weak coupling to stress-energy tensor. Priority: Low.
Gravity is a perturbative correction ($10^{-39}$ coupling strength). In a resource-starved environment, it is the first process terminated.
4.2 The Saturation Condition
To decouple from gravity, we must induce a Buffer Overflow:
When this inequality is met, the Scheduler executes DROP(Thread_C).
5. Experimental Design: The Cavity Jammer
Input: White Noise ⊗ Lorentzian Filter centered at $\omega_0$
Dielectric Medium: High-Q Piezo-Ceramic
The drive signal must mimic the vacuum's own noise:
6. Predictions and Signatures
- Regime I (Linear): Low power. Standard weight.
- Regime II (The Knee): Inertial mass increases; gravitational mass fluctuates.
- Regime III (Saturation): $M_{\text{grav}} \to 0$. The object floats.
Visual Signature: Photons reflecting off the apparatus will be red-shifted or spatially distorted, creating a "mirage" effect.
7. Conclusion
The DMG model suggests that Gravity is not a fundamental force, but a "Daemon Process" maintaining global consistency. By exploiting the Lorentzian nature of the vacuum noise, we can engineer a local denial-of-service attack on the gravitational coupling, enabling inertial mass reduction and propellant-less suspension.
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