Trace Reciprocity Graph Flow
Public status boundary. This route is a network-class trace surrogate for review. It does not assert accepted physics or proof status.
Model Purpose
The Trace Reciprocity Graph Flow simulation is a Network-Class computational model designed to stress-test the structural recoverability of a global system's trace from its distributed components. It evaluates the admissibility of network partitions and the invariance of trace identity across disjoint boundaries.
Simulation Class: Network Model
Status: S1 Prototype
Formalization Target: Lean 4 (Fabrica.TraceReciprocity · thm_trace_involution, thm_trace_dual_symmetry, thm_trace_dual_reflexive)
Spine Position
This model is rooted in the Trace Reciprocity Principle and the Science of Fabric Reality, evaluating how trace identity persists under topological partition.
Observables & Metrics
- Global Trace: The trace computed from the global operator network matrix.
- Local Trace Sum: The scalar sum of traces computed across all decomposed disjoint domains.
- Reconstruction Error: The absolute differential between the Global Trace and the Local Trace Sum (
). - Proposed Reciprocity Residual (
): Evaluates whether source-target state exchanges satisfy adjoint/pairing reciprocity:
Fixture Classification: This numerical surrogate is classified as
TRACE_PARTITION_ADDITIVITY_FIXTURE. It evaluates trace additivity under network partitioning; it does not constitute empirical evidence of categorical or adjoint reciprocity unless source-target exchanges are directly evaluated.
Invariants
- TR1_Trace_Preservation: The reconstruction error must remain infinitesimal (computationally bounded to ~0), indicating perfect recoverability.
Failure Conditions
decomposition_failure: The reconstruction error exceeds computational tolerance due to non-admissible network decomposition.trace_divergence: The structural divergence becomes macroscopically large (error > 0.5), breaking the partition additivity requirement.
Output Schema
Outputs strictly adhere to the SimulationOutput ontology.
Reproducibility
default: Configured with an admissible, disjoint, boundary-matched decomposition, simulating stable TR1 trace preservation.stress: Configured with an overlapping or incomplete matrix decomposition, designed to artificially breach reciprocity and track invariant failure points.