1. Introduction

The unification of Quantum Mechanics and General Relativity has long been stalled by the incompatibility of smooth geometry and discrete quanta. We propose that this incompatibility is a hardware limitation of the substrate of reality itself.

In the DMG framework, a particle is not a distinct entity but a localized process thread running on a voxel grid. The fundamental constraint of this grid is the System Clock ($\omega_P$). Every quantum of existence requires a CPU cycle. This imposes a strict budget on the voxel's processing power, governed by the conservation equation:

$$k_{state} + k_{motion} + k_{gravity} = \omega_P$$ (1)

Thread Hierarchy

$k_{state}$ (Thread A) Computation of internal quantum numbers (spin, charge, color). Priority: CRITICAL.
$k_{motion}$ (Thread B) Vector calculation and pointer handoff to neighbor voxels. Priority: HIGH.
$k_{gravity}$ (Thread C) Interaction with the global stress-energy tensor (Gravity). Priority: LOW.

This paper argues that $k_{gravity}$ runs at the lowest priority. Consequently, if $k_{motion}$ saturates the bus, $k_{gravity}$ is dropped.

2. Theoretical Framework

2.1 Velocity as Resource Starvation

In Special Relativity, time dilation ($\gamma$) is a geometric rotation. In DMG, it is a scheduling conflict. As a particle accelerates, the computational cost of transferring its data to the next voxel ($k_{motion}$) increases.

$$k_{motion}(v) = \omega_P \cdot \frac{v^2}{c^2}$$ (2)

At $v = c$, $k_{motion} = \omega_P$. The voxel allocates 100% of cycles to Motion, leaving 0% for $k_{state}$. The internal state freezes; time stops. This successfully derives Time Dilation without invoking geometry.

2.2 The Lorentzian Bath and Inertia

The vacuum is not empty; it is a Lorentzian Bath of background fluctuations with a characteristic resonance frequency $\omega_0$. Acceleration is the act of shifting a particle's processing frequency against this background noise.

Inertia is identified as "Lorentzian Friction." To allocate cycles to $k_{motion}$, the voxel must distinguish the particle's signal from the bath. As velocity increases, the signal shifts toward the resonance peak of the noise:

$$\text{Noise}(\omega) = \frac{\Gamma/2\pi}{(\omega - \omega_0)^2 + (\Gamma/2)^2}$$ (3)

This creates a non-linear resistance to acceleration (Relativistic Mass) caused by the error-correction overhead required to filter the signal from the noise.

2.3 Length Contraction as Input Lag

Physical length contraction is re-derived as a "Rolling Shutter" artifact. Due to the finite propagation speed of the voxel grid update function ($c$), the "rear" of an accelerated object is processed in a later clock cycle than the "front." The object does not physically compress; the Render Queue desynchronizes, creating a visual artifact of compression.

3. The "Lag Switch" Hypothesis

If Gravity ($k_{gravity}$) is a low-priority thread, it is vulnerable to a Denial of Service (DoS) attack. We term this the "Mario Kart Effect."

In computational systems, when the instruction pipeline is flooded with high-entropy data, the scheduler terminates non-critical threads to prevent a kernel panic (system crash). We posit that the voxel prioritizes State (Existence) and Motion (Causality) over Gravity (Interaction).

Therefore, the condition for Anti-Gravity is:

$$k_{state} + k_{motion} > \omega_P - \epsilon$$ (4)

When this threshold is breached, $k_{gravity} \to 0$.

4. Experimental Design: The Resonant Cavity Jammer

To induce this saturation, we propose the Cavity Jammer. This device is not designed to produce thrust, but to produce Noise.

4.1 Apparatus

The device consists of a high-Q microwave cavity resonator filled with a non-linear dielectric. The cavity geometry is a truncated cone to induce an asymmetric standing wave density.

4.2 Methodology

Instead of a coherent frequency, the cavity is driven by a chaotic oscillator targeting the Resonance Peak ($\omega_0$) of the local Lorentzian Bath.

Protocol Steps

  • Signal Injection: Inject a broad-spectrum stochastic electromagnetic field (White Noise) modulated by a Lorentzian profile centered at $\omega_0$.
  • Voxel Saturation: The dielectric material vibrates at hypersound frequencies, generating a position-update request storm. The voxel cannot predict the position of the dielectric atoms due to the high entropy of the drive signal.
  • Thread Dropping: The voxel's error-correction buffer overflows. To maintain the existence of the dielectric (Thread A), the voxel terminates the gravity calculation (Thread C).

5. Predicted Results

We predict three distinct phases of operation as the input power increases:

Operational Phases

Phase I: Linear Drag
The object experiences increased inertia as it fights the Lorentzian Friction. Normal physics applies with minor anomalies.
Phase II: The Glitch
Optical distortions (red-shifting) appear around the device as the "Render Queue" begins to lag. Measurable weight fluctuations begin.
Phase III: Decoupling
At critical saturation, the device's measured weight drops precipitously. It will not "fly" upwards, but simply cease to fall — floating as if the grid has forgotten to apply the physics vector for gravity.

6. Discussion and Conclusion

The implications of the DMG "Resource Starvation" model are profound. If gravity is merely a background thread, it is not a fundamental force but a System Service.

We conclude that the "Anti-Gravity" effect observed in various anomalous propulsion claims (e.g., EmDrive, Podkletnov) is not due to exotic physics, but rather accidental "Buffer Overflows" in the local spacetime processor. By intentionally engineering a "Lag Switch," we can decouple any mass from the geodesic grid, effectively turning off gravity by starving the CPU.

Key Conclusions

1. Gravity is not a fundamental force — it is a background service running on the vacuum processor.

2. Time dilation and length contraction are computational artifacts, not geometric rotations.

3. Gravitational decoupling is achievable via Resource Starvation of the local voxel.

4. The "Cavity Jammer" provides a testable experimental pathway.

Data Availability: The full derivation of the Zero-Sum Clock Cycle and the Voxel quantization code is available in the DMG Theory repository.