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Resonant Fractal Nature Theory — a mathematical framework for coherent patterns on graph-coupled networks.

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© 2026 TNFR project — MIT licensed.DOI 10.5281/zenodo.17602860
docs
grammar
PHYSICS_VERIFICATION.md
API_CONTRACTS.mdCANONICAL_OZ_SEQUENCES.mdEMPIRICAL_CONFRONTATION_EEG.mdREADME.mdSTRUCTURAL_FIELDS_TETRAD.mdSTRUCTURAL_INTERFACE_THEORY.md
theory
APPLIED_STRUCTURAL_ANALYSIS.mdCATALOG_TYPE_HYGIENE_PROGRAMME.mdDISSIPATIVE_AND_OPEN_SYSTEMS.mdEMERGENT_ONTOLOGY.mdEXTENDED_FIELDS_AND_DERIVED_QUANTITIES.mdFUNDAMENTAL_THEORY.mdGAUGE_SYMMETRY_AND_UNIFICATION.mdGLOSSARY.mdMATHEMATICAL_DYNAMICS_BASIS.mdMINIMAL_STRUCTURAL_DEGREES.mdNUCLEUS_A_PRIME_LADDER_ATLAS.mdNUCLEUS_B_EQUIVARIANCE_OBSTRUCTIONS.mdPHYSICAL_REGIME_CORRESPONDENCES.mdREADME.mdREMESH_INFINITY_DERIVATION.mdSTRUCTURAL_CONSERVATION_THEOREM.mdSTRUCTURAL_OPERATORS.mdSTRUCTURAL_STABILITY_AND_DYNAMICS.mdTNFR_BSD_RESEARCH_NOTES.mdTNFR_HODGE_RESEARCH_NOTES.mdTNFR_NAVIER_STOKES_RESEARCH_NOTES.mdTNFR_NUMBER_THEORY.mdTNFR_P_VS_NP_RESEARCH_NOTES.mdTNFR_RIEMANN_RESEARCH_NOTES.mdTNFR_VARIATIONAL_PRINCIPLE.mdTNFR_YANG_MILLS_RESEARCH_NOTES.mdTNFR.pdfUNIFIED_GRAMMAR_RULES.md
factorization-lab
analysis
analyze_patterns.pycertificate_manifest.py
benchmarks
benchmark_analysis.pybenchmark_expansion_suite.pyfull_spectrum_factorization.pypaley_gap_extended.pypaley_gap_smoke.pytest_benchmark_suite.py
demos
experiment_contexts
exp_0b1663cd19b7.jsonexp_0bf0054b7474.jsonexp_75a4c8ca616a.jsonexp_848ee0fd1857.jsonexp_f6fe00562193.jsonexp_fdf3da424e1e.json
failure_telemetry_batch.pyfeedback_integration_demo.pyintegration_demo_snapshots.dbseed_management_integration_demo.pysnapshot_integration_demo.pytrajectory_143.jsontrajectory_77.jsontrajectory_89.jsontrajectory_91.jsontrajectory_97.json
docs
FACTORING_PLAYBOOK.mdFALSE_POSITIVE_TEST_SUITE.mdOPERATOR_CERTIFICATES.mdROADMAP.mdSPECTRAL_ROUTE.md
experiment_contexts
exp_cebe1d9e7d8e.json
notebooks
spectral_history.ipynb
scripts
run_false_positive_tests.py
tests
run_false_positive_test_suite.pytest_cli.pytest_false_positive_methodology.pytest_false_positive_verifier.pytest_feedback_integration.pytest_partitioning.pytest_seed_management.pytest_self_opt_support.pytest_snapshot_system.pytest_spectral_paley.pytest_verification_robustness.py
tnfr_factorization
__init__.pyapi.pycli.pyfailure_telemetry.pyfeedback_adapter.pyfeedback_integration.pypartitioning.pyself_opt_support.pyspectral_paley.py
demo_snapshots.dbLICENSE_SNAPSHOT.mdPACKAGE_SUMMARY.mdREADME.mdseed_management.pysnapshot_system.pytest_certificate_hashing.pytest_installation.pyverification_trajectory_77.json
benchmarks
analyze_tetrad_universality.pyb0star_alpha_canonical_product_graphs.pybenchmark_optimization_tracks.pybenchmark_utils.pyboundary_vibration.pybridge_primes_riemann.pychiral_involution.pycli_utils.pycoherence_projector_sense_index.pycommutant_bridge.pycomposition_arithmetic.pyconfinement_zones_test.pyconservation_law_validation.pydirected_paley_bridge.pyemergent_arithmetic_pulse.pyemergent_atom_dynamics.pyemergent_atomic_shells.pyemergent_base_dimension.pyemergent_dimension_dynamics.pyemergent_fractal_pulse.pyemergent_fractal_simplex_dimension.pyemergent_integers_symmetry.pyemergent_musical_nfr.pyemergent_nfr_geometry.pyemergent_nfr_where.pyemergent_rationals.pyemergent_rhythm.pyemergent_screening.pyemergent_shell_cardinals.pyemergent_shell_ordering.pyemergent_simplex_dimension.pyemergent_substrate_symmetry.pyequivariance_wall.pyexternal_phase_gate_validation.pyfield_methods_battery.pygolden_residue_remesh_bridge.pyintegrated_force_regime_study.pyinverse_spectrum_to_symmetry.pyk_phi_safety_demo.pykuramoto_farey_bridge.pymissing_piece_bridge.pymultichannel_interface_benchmark.pynavier_stokes_recipe_bridge.pynodal_propagator_residue_bridge.pyns_moment_hierarchy_cascade.pyoperational_irreducibility.pypaley_bridge.pyphase_curvature_investigation.pyphase_wall.pyphi_s_confinement_investigation.pyprimes_as_consequence.pypulse_phase_coherence_budget.pyREADME.mdremesh_infinity_riemann_baseline.pyremesh_infinity_riemann_composed.pyremesh_infinity_riemann_modified_graph.pyremesh_infinity_riemann_operator.pyremesh_infinity_riemann_spectral_basis.pyremesh_infinity_riemann_spectral_robustness.pyremesh_infinity_riemann_spectral.pyresidue_phase_vs_riemann.pystructural_interface_benchmark.pytemporal_interface_benchmark.pytetrad_results_aggregate.pyu2_destabilization_irreversibility.pyuniversality_clusters.pyxi_c_fast_experiment.py
primality-test
benchmarks
comprehensive_benchmark.py
docs
ADVANCED_INTEGRATION.mdmathematical_foundation.mdperformance_analysis.md
examples
advanced_examples.pybasic_usage.py
tnfr_primality
__init__.py__main__.pyadvanced_cli.pyadvanced_core.pycli.pyconstants.pycore.pyoptimized.py
MANIFEST.inPACKAGE_SUMMARY.mdREADME.mdRELEASE_NOTES_v1.0.mdsetup.pytest_installation.py
tests
core_physics
__init__.pytest_conservation_laws.pytest_delta_nfr_computation_paths.pytest_delta_nfr.pytest_dispersion_coherence_sign_invariance.pytest_emergent_constants_guard.pytest_lyapunov_operators.pytest_nodal_equation.pytest_structural_triad.py
data
replay_manifests
sample_run
_manifest_summary.json_manifest.json_partition_files.txt.gz
self_opt_validation
seed_alpha
paley.json
seed_beta
integration.json
seed_gamma
unknown.json
self_optimization
test_run
partitioned
test_run
test_run_p0.jsontest_run_p1.json
_manifest_summary.json_manifest.json
engines
test_pattern_discovery_manifest.pytest_self_optimization_engine.py
mathematics
__init__.pytest_autodiff.pytest_backends.pytest_dissipative_dynamics.pytest_epi.pytest_factory_patterns.pytest_metrics.pytest_navier_stokes_refounded.pytest_number_theory_canonical.pytest_operators.pytest_residue_networks.pytest_riemann_nodal_pulse.pytest_riemann_pulse_coherence.pytest_spaces.pytest_transforms.pytest_validator.py
operators
test_canonical_operators_modern.pytest_grammar_canon.pytest_grammar_canonical_consistency.pytest_grammar_dynamics.pytest_operator_contracts.pytest_operator_strategies.py
parallel
test_fractal_partition_manifest.py
physics
test_conservation_gauge_unification.pytest_dissipative_conservation.pytest_emergent_chemistry.pytest_field_cache_invalidation.pytest_gauge.pytest_phase_transition.pytest_signatures.pytest_spectral_conservation.pytest_structural_diffusion.pytest_structural_integrity.pytest_symplectic_substrate.pytest_tetrad_bounds.pytest_variational.pytest_yang_mills_closure.pytest_yang_mills_derivability.pytest_yang_mills_scaling.pytest_yang_mills_structural_gap.pytest_yang_mills_u6_sweep.py
scripts
test_run_self_opt_validation.pytest_run_self_optimization.py
sdk
__init__.pytest_simple_advanced.py
__init__.pyconftest.pyREADME.mdtest_breast_cancer_phase_gate_demo.pytest_classical_mechanics.pytest_distributed_fft.pytest_external_phase_gate_validation.pytest_factorization_entrypoint.pytest_multichannel_interface.pytest_nodal_optimizer.pytest_phase_gate_api.pytest_replay_register_manifest.pytest_signal_confrontation.pytest_structural_interface_api.pytest_structural_interface_baselines.pytest_structural_interface_benchmark.pytest_temporal_interface.pytest_vectorized_coherence_length_regression.pytest_wine_quality_phase_gate_demo.pyutils.py
examples
01_foundations
01_hello_world.py02_musical_resonance.py03_network_formation.py04_operator_sequences.py05_coherence_evolution.py06_network_topologies.py07_phase_transitions.py08_emergent_phenomena.py09_visualization_suite.py10_simplified_sdk_showcase.py
02_physics_regimes
11_classical_limit_comparison.py115_operator_contract_audit.py12_classical_mechanics_demo.py13_quantum_mechanics_demo.py14_uncertainty_and_interference.py15_train_crossing_demo.py17_conservation_law_demo.py26_gauge_structure_demo.py27_variational_principle_demo.py28_dissipative_systems_demo.py29_lyapunov_stability_demo.py30_self_optimization_demo.py31_mathematical_constants_basis.py33_complex_field_unification.py34_conservation_protocol_suite.py35_tetrad_irreducibility.py36_grammar_violation_detector.py37_operator_tetrad_synergy.py38_grammar_energy_landscape.py39_nodal_equation_decomposition.py
03_riemann_zeta
157_nodal_pulse_phase_attack.py41_von_mangoldt_zeta_demo.py42_riemann_zeros_as_resonances.py43_prime_ladder_hamiltonian_demo.py44_weil_explicit_formula_demo.py45_li_keiper_demo.py46_weil_tnfr_positivity_demo.py47_alpha_sweep_demo.py48_admissible_family_sweep_demo.py49_nodeaware_gauge_sweep_demo.py50_uniform_coercivity_demo.py51_adaptive_coercivity_demo.py52_paley_gap_coercivity_demo.py53_lyapunov_spectral_positivity_demo.py54_hilbert_polya_demo.py55_structural_zero_density_demo.py56_spectral_emergence_demo.py57_admissible_rescaling_demo.py58_oscillatory_correction_demo.py
04_riemann_L_twisted
59_dirichlet_l_function_demo.py60_dirichlet_l_continuation_demo.py61_dirichlet_l_hamiltonian_demo.py62_dirichlet_weil_explicit_formula_demo.py63_dirichlet_li_keiper_demo.py64_twisted_weil_positivity_demo.py65_twisted_alpha_sweep_demo.py66_twisted_admissible_family_sweep_demo.py67_twisted_nodeaware_gauge_sweep_demo.py68_twisted_hermite_family_demo.py69_twisted_coercivity_uniform_demo.py70_twisted_paley_gap_coercivity_demo.py71_twisted_lyapunov_spectral_demo.py72_twisted_hilbert_polya_demo.py73_twisted_structural_zero_density_demo.py74_twisted_spectral_emergence_demo.py75_twisted_admissible_rescaling_demo.py76_twisted_oscillatory_correction_demo.py
05_type_hygiene
77_remesh_infinity_residue_split_demo.py78_nuf_type_signature_demo.py79_epi_type_signature_demo.py80_phi_type_signature_demo.py81_dnfr_type_signature_demo.py82_remesh_window_type_signature_demo.py83_delta_phi_max_type_signature_demo.py84_coupling_weights_type_signature_demo.py85_tetrad_closure_signature_demo.py86_currents_closure_signature_demo.py87_aggregates_closure_signature_demo.py88_urules_consistency_signature_demo.py89_operator_catalog_discipline_signature_demo.py
06_navier_stokes
158_navier_stokes_two_face_refounded.py
07_number_theory
100_prime_families_orbits.py101_numbers_as_coupled_network.py102_nodal_flow_primes_equilibria.py116_nuf_emergent_prime_visibility.py146_primality_grammatical_inertness.py147_numbers_as_free_monoid_words.py148_capacity_arm_carries_von_mangoldt.py149_p14_is_the_capacity_arm_operator.py153_structural_frequency_rank_cyclotomy.py40_arithmetic_number_theory.py94_generative_number_construction.py95_primes_from_spectral_waves.py96_spectral_vibration_of_coherence.py97_goldbach_additive_multiplicative.pyemergent_chemistry_particles_demo.py
08_emergent_geometry
103_emergent_substrate_meets_riemann.py106_per_node_polarization_geometry.py107_orthogonal_structure_emergent_geometry.py108_emergent_field_generating_structure.py112_structure_predicts_coherence_flow.py113_overdamped_projection_bridge.py114_substrate_conserved_quantities.py117_emergent_geometry_residue_graph.py118_emergent_vs_classical_operator.py119_phase_sector_directed_residue.py120_symmetry_wall_substrate_vs_spectrum.py121_canonical_symmetry_break_negative.py122_factorization_phase_sector.py123_symmetry_sector_decomposition.py124_emergent_metric_fractal_consistency.py125_node_is_the_emergent_substrate.py126_two_layers_base_fiber.py127_base_is_emergent_not_imposed.py128_base_substrate_coemergence.py129_spectral_gap_base_fiber_clock.py130_operators_break_substrate_charges.py131_coemergent_loop_convergence.py132_geometric_phase_holonomy.py133_psi_topological_defects.py134_spectral_dimension_heat_kernel.py135_arrow_of_time_h_theorem.py136_heat_kernel_coefficients.py137_synchronization_transition.py138_structure_frequency_synchronization.py139_grammar_formal_language.py140_grammar_automaton.py141_grammar_rule_decomposition.py142_grammar_operator_quotient.py143_glyphic_function_sublanguage.py144_branching_combinator.py145_syntactic_monoid_starfree.py150_emergent_grammatical_pattern_parry.py151_grammar_in_emergent_geometry.py152_operator_contract_tetrahedron.py154_conductor_annotated_qr_spectrum.py155_ontological_position_of_numbers.py156_emergence_directness_law.py98_emergent_symplectic_substrate.py99_structural_diffusion.pyunified_fields_showcase.py
09_millennium
109_p_vs_np_coherence_synthesis.py110_bsd_rank_structural_pressure.py111_hodge_discrete_and_honest_gap.py
10_applications
159_empirical_confrontation_pipeline.py90_phase_gate_monitor_demo.py91_breast_cancer_phase_gate_demo.py92_wine_quality_phase_gate_demo.py93_structural_interface_demo.pypytorch_cuda_demo.py
README.md
scripts
replay
__init__.pyregister_manifest.py
__init__.pyREADME.mdrebuild_failure_manifest.pyrun_reproducible_benchmarks.pyrun_self_opt_validation.pyrun_self_optimization.pytnfr_is_prime.pyvalidate_conservation_law.pyverify_internal_references.py
src
core
__init__.pyevaluation.py
tnfr
backends
__init__.pyjax_backend.pynumpy_backend.pyoptimized_numpy.pyREADME.mdtorch_backend.py
cli
__init__.py__init__.pyiarguments.pyarguments.pyiexecution.pyexecution.pyiinteractive_validator.pyREADME.mdutils.pyutils.pyi
compat
__init__.pydataclass.pyjsonschema_stub.pymatplotlib_stub.pynumpy_stub.pyREADME.md
config
__init__.py__init__.pyiconstants.pyconstants.pyidefaults_core.pydefaults_init.pydefaults_metric.pydefaults.pyfeature_flags.pyfeature_flags.pyiglyph_constants.pyoperator_names.pyoperator_names.pyiphysics_derivation.pyprecision_modes.pypresets.pypresets.pyiREADME.mdsecurity.pythresholds.pytnfr_config.py
constants
__init__.py__init__.pyialiases.pyaliases.pyicanonical.pymetric.pymetric.pyioperational.py
core
__init__.pycontainer.pydefault_implementations.pyexceptions.pyinterfaces.pyREADME.md
dynamics
__init__.py__init__.pyiadaptation.pyadaptation.pyiadaptive_sequences.pyadaptive_sequences.pyiadelic.pyadvanced_cache_optimizer.pyadvanced_fft_arithmetic.pyaliases.pyaliases.pyibifurcation.pycache_aware_fft_engine.pycanonical.pycanonical.pyicomputational_hub.pycoordination.pycoordination.pyidistributed_fft.pydnfr.pydnfr.pyidynamic_limits.pyemergent_centralization.pyemergent_integration_engine.pyfeedback.pyfeedback.pyifft_backend.pyfft_cache_coordinator.pyfft_dispatchers.pyfft_engine.pyfft_workers.pyfused_dnfr.pyhomeostasis.pyhomeostasis.pyiintegrators.pyintegrators.pyilearning.pylearning.pyimetabolism.pymulti_modal_cache.pynbody_tnfr.pynbody.pynodal_optimizer.pyoptimization_orchestrator.pypropagation.pyREADME.mdruntime.pyruntime.pyisampling.pysampling.pyiselectors.pyselectors.pyiself_optimizing_engine.pyspectral_structural_fusion.pystructural_cache.pystructural_clip.pysymplectic.pyunified_backend.pyunified_mathematical_cache_orchestrator.py
engines
computation
__init__.pyfft_engine.pyunified_fft_engine.pyunified_gpu_system.py
constants
__init__.pycanonical.pyoperational.py
integration
__init__.pyemergent_integration.py
pattern_discovery
__init__.pymathematical_patterns.pymulti_modal_cache.py
self_optimization
__init__.pyengine.py
__init__.pyREADME.md
errors
__init__.pycontextual.py
factorization
__init__.py
flatten
README.md
gamma
README.md
glyph_history
README.md
glyph_runtime
README.md
immutable
README.md
initialization
README.md
io
README.md
math
__init__.pyfields_symbolic.pygrammar_validators.pyoptimizer.pyREADME.mdsymbolic.py
mathematics
__init__.pybackend.pybackend.pyidynamics.pydynamics.pyiepi.pyepi.pyigenerators.pygenerators.pyiliouville.pymetrics.pymetrics.pyinumber_theory.pyoperators_factory.pyoperators_factory.pyioperators.pyoperators.pyioptimized_primality.pyprojection.pyprojection.pyiREADME.mdruntime.pyruntime.pyispaces.pyspaces.pyispectral.pytransforms.pytransforms.pyiunified_cache.pyunified_numerical.pyzeta.py
metrics
__init__.py__init__.pyibuffer_cache.pybuffer_cache.pyicache_utils.pycoherence.pycoherence.pyicommon.pycommon.pyicore.pycore.pyidiagnosis.pydiagnosis.pyiemergence.pyexport.pyexport.pyiglyph_timing.pyglyph_timing.pyilearning_metrics.pylearning_metrics.pyilocal_coherence.pyphase_coherence.pyphase_compatibility.pyREADME.mdreporting.pyreporting.pyisense_index.pysense_index.pyitelemetry.pytetrad.pytrig_cache.pytrig_cache.pyitrig.pytrig.pyi
multiscale
__init__.pyhierarchical.pyREADME.md
navier_stokes
__init__.pyconservative_face.pyoperator.py
node
README.md
observers
README.md
operators
network_analysis
__init__.pysource_detection.py
postconditions
__init__.pymutation.py
preconditions
__init__.pycoherence.pydissonance.pyemission.pymutation.pyreception.pyresonance.py
strategies
__init__.pydefaults.pygpu_strategies.pystrategy.py
__init__.py__init__.pyialgebra.pycanonical_patterns.pycascade.pycoherence.pycontraction.pycoupling.pycycle_detection.pydefinitions_base.pydefinitions.pydefinitions.pyidissonance.pyemission.pyexpansion.pygrammar_application.pygrammar_canon.pygrammar_context.pygrammar_core.pygrammar_dynamics.pygrammar_error_factory.pygrammar_memoization.pygrammar_patterns.pygrammar_telemetry.pygrammar_types.pygrammar_u6.pygrammar_validate.pygrammar.pygrammar.pyihamiltonian.pyhealth_analyzer.pyintrospection.pyjitter.pyjitter.pyilifecycle.pymetabolism.pymetrics_basic.pymetrics_core.pymetrics_network.pymetrics_structural.pymetrics_u6.pymetrics.pymutation.pynodal_equation.pyoperator_contracts.pypattern_detection.pypatterns.pyREADME.mdreception.pyrecursivity.pyregistry.pyregistry.pyiremesh.pyremesh.pyiresonance.pyself_organization.pysilence.pystructural_units.pytransition.py
parallel
__init__.pyauto_scaler.pydistributed.pyengine.pymonitoring.pypartitioner.pyREADME.md
performance
guardrails.py
physics
__init__.py_helpers.pycalibration.pycanonical.pycell.pyclassical_mechanics.pyconservation_gauge_unification.pyconservation.pydissipative_conservation.pyemergent_chemistry.pyemergent_particles.pyextended.pyfields.pygauge.pyintegrity.pyinteractions.pylife.pylyapunov.pypatterns.pyphase_transition.pyquantum_mechanics.pyREADME.mdsignatures.pyspectral_conservation.pyspectral_metrics.pystructural_diffusion.pysymplectic_substrate.pytelemetry.pyunified.pyvariational.pyvectorized_ops.py
primality
__init__.py
recipes
__init__.pycookbook.pyREADME.md
riemann
__init__.pyadmissible_family_sweep.pyadmissible_rescaling.pyaggregates_closure_signature.pyalpha_sweep.pyanalytic_continuation_dirichlet.pyanalytic_continuation.pycoercivity_uniform.pycoupling_weights_type_signature.pycurrents_closure_signature.pydelta_phi_max_type_signature.pydirichlet_l.pydnfr_type_signature.pyepi_type_signature.pyhilbert_polya.pyli_keiper.pylyapunov_spectral_positivity.pynodal_pulse.pynodeaware_gauge_sweep.pynuf_type_signature.pyoperator_catalog_discipline_signature.pyoperator.pyoscillatory_correction.pypaley_gap_coercivity.pyphi_type_signature.pyprime_ladder_hamiltonian.pypulse_coherence.pyremesh_infinity_residue_split.pyremesh_window_type_signature.pyspectral_emergence.pystructural_zero_density.pytelemetry.pytetrad_closure_signature.pytwisted_admissible_family_sweep.pytwisted_admissible_rescaling.pytwisted_alpha_sweep.pytwisted_coercivity_uniform.pytwisted_hermite_family.pytwisted_hilbert_polya.pytwisted_li_keiper.pytwisted_lyapunov_spectral_positivity.pytwisted_nodeaware_gauge_sweep.pytwisted_oscillatory_correction.pytwisted_paley_gap_coercivity.pytwisted_prime_ladder_hamiltonian.pytwisted_spectral_emergence.pytwisted_structural_zero_density.pytwisted_weil_explicit_formula.pytwisted_weil_positivity.pyurules_consistency_signature.pyvon_mangoldt.pyweil_explicit_formula.pyweil_positivity.py
schemas
__init__.pygrammar.jsonREADME.md
sdk
__init__.py__init__.pyiadaptive_system.pyadaptive_system.pyibuilders.pybuilders.pyifluent.pyfluent.pyiREADME.mdself_opt.pysimple.pytemplates.pytemplates.pyiutils.py
security
__init__.pycrypto.pydatabase.pyREADME.mdsubprocess.pyvalidation.py
sequencing
__init__.pypatterns.pyREADME.md
services
__init__.pyorchestrator.pyREADME.md
sparse
__init__.pyREADME.mdrepresentations.py
structural
README.md
telemetry
__init__.pycache_metrics.pycache_metrics.pyiconstants.pynu_f.pynu_f.pyiREADME.mdunified_telemetry_system.pyverbosity.pyverbosity.pyi
tools
__init__.pydomain_templates.pyREADME.mdsequence_generator.pytnfr_is_prime_cli_optimized.pytnfr_is_prime_cli.py
topology
__init__.pyasymmetry.pyREADME.md
utils
cache_layers.pycache.pycache.pyicallbacks.pycallbacks.pyichunks.pychunks.pyidata.pydata.pyifast_diameter.pygraph.pygraph.pyiinit.pyinit.pyiio.pyio.pyinumeric.pynumeric.pyiREADME.mdtopology.pyunified_cache.py
validation
__init__.py__init__.pyiaggregator.pybase.pycompatibility.pycompatibility.pyiconfig.pygraph.pygraph.pyihealth.pyinput_validation.pyinterface_baselines.pyinvariants.pymultichannel_interface.pyphase_gate.pyREADME.mdrules.pyrules.pyiruntime.pyruntime.pyisequence_validator.pysignal_confrontation.pysoft_filters.pysoft_filters.pyispectral.pyspectral.pyistructural_interface.pytemporal_interface.pyunified_validation_system.pyvalidator.pywindow.pywindow.pyi
visualization
__init__.pycascade_viz.pyhierarchy.pyREADME.mdsequence_plotter.py
yang_mills
__init__.pyclosure.pyderivability.pyscaling.pystructural_gap.pyu6_sweep.py
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tetrad_evaluator.py
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FILE: examples/08_emergent_geometry/156_emergence_directness_law.py

156_emergence_directness_law.py

Example 156 — The Emergence-Directness Law: Structural Level x Symmetry Sector

The cross-domain axis of theory/EMERGENT_ONTOLOGY.md (§0) orders domains by how DIRECTLY they read the shared fixed point ΔNFR = 0 — particle winding directly, the number-theory spectral sector genuinely but partially, the arithmetic ΔNFR circular. This example measures WHY that ordering holds: a domain's directness is fixed by

text
(i)  WHICH level of the three-level structure (§7.1 stage -> occupant ->
     process) carries its canonical read-out, and
(ii) WHICH ``Aut(G)`` representation sector (Schur: ``Fix(G) ⊕ Fix(G)^perp``,
     example 123) that read-out lives in.

Level / read-out          Aut(G) sector         Directness
------------------------  --------------------  -----------------------
occupant  winding W       Fix(G)  (invariant)   DIRECT       (particles)
stage     spectral rho    Fix(G)^perp           PARTIAL/WALL (numbers)
process   dNFR(Omega,..)  -- (consumes input)   CIRCULAR     (arithmetic)

THE LAW (one sentence): a topological (occupant) read-out is DIRECT because it is a Fix(G) invariant; a spectral (stage) read-out is PARTIAL because it is trapped in Fix(G)^perp (the non-trivial irreps = the symmetry wall); a process read-out is CIRCULAR because it consumes its own input.

This is the cross-domain face of the SAME representation theory that organizes the secondary synergies — each algebraic relation an operator has with the coupling A produces a distinct emergent structure:

text
commuting automorphism   [A,P]=0          -> the WALL (Fix^perp confinement)
anticommuting chiral G    {A,G}=0          -> additive inverse -n / antiparticle
non-symmetric circulant  A!=A^T,[A,A^T]=0 -> Gauss-sum PHASE (Z/n Fourier basis)
graph products           spec add/mult     -> +, x (NOT unique factorisation)

Physics

  • occupant: the winding W = (1/2pi) * circulation is the degree of a map S^1 -> S^1, an exact integer invariant under every graph automorphism (Aut maps cycles to cycles) — the Fix(G) (trivial-rep) robust charge. Two distinct Z_2 involutions send W -> -W: parity P (an orientation-reversing automorphism) and charge conjugation C (phase conjugation phi -> -phi, the chiral involution, chiral_involution.py). |W| is the invariant of both.
  • stage: on a vertex-transitive graph the per-node substrate is orbit-constant (it lives in Fix(G)) and CANNOT discriminate nodes. The arithmetic discriminator lives in the spectrum = Fix(G)^perp (examples 120/123). On the residue Cayley digraph that Fix^perp sector is exactly the non-trivial Z_n characters = the Gauss-sum eigenbasis (TNFR_NUMBER_THEORY.md §9.5-9.8, §10.5 — the non-self-adjoint circulant phase operator).
  • process: the arithmetic dNFR(n) computes Omega, tau, sigma from n by trial division — it consumes the divisibility it "reads", so it is circular (Sector A).

Experiments

  1. occupant -- |W| is an Aut(G) invariant (Fix): robust / DIRECT
  2. the two W -> -W involutions: parity P vs charge conjugation C
  3. stage per-node -- orbit-constant on a vertex-transitive graph (Fix): BLIND
  4. stage spectral -- rho(n) discriminates primes in Fix^perp while every per-node Fix quantity stays blind: the WALL
  5. the law -- assemble the level x sector table from the measurements

References

  • theory/EMERGENT_ONTOLOGY.md §0 (cross-domain axis), §2.3 (this law), §7.1
  • theory/TNFR_NUMBER_THEORY.md §9.5-9.8 (sectors + ladder), §10.5 (phase operator)
  • examples 123 (Schur Fix/Fix^perp), 120 (arithmetic in Fix^perp), 155 (ladder)
  • benchmarks: chiral_involution.py, composition_arithmetic.py, residue_phase_vs_riemann.py
  • src/tnfr/physics/emergent_particles.py (winding), metrics/common.py (coherence)

Source Code

python
#!/usr/bin/env python3
"""
Example 156 — The Emergence-Directness Law: Structural Level x Symmetry Sector
=============================================================================

The cross-domain axis of ``theory/EMERGENT_ONTOLOGY.md`` (§0) orders domains by
how DIRECTLY they read the shared fixed point ``ΔNFR = 0`` — particle winding
*directly*, the number-theory spectral sector *genuinely but partially*, the
arithmetic ``ΔNFR`` *circular*. This example measures WHY that ordering holds: a
domain's directness is fixed by

    (i)  WHICH level of the three-level structure (§7.1 stage -> occupant ->
         process) carries its canonical read-out, and
    (ii) WHICH ``Aut(G)`` representation sector (Schur: ``Fix(G) ⊕ Fix(G)^perp``,
         example 123) that read-out lives in.

    Level / read-out          Aut(G) sector         Directness
    ------------------------  --------------------  -----------------------
    occupant  winding W       Fix(G)  (invariant)   DIRECT       (particles)
    stage     spectral rho    Fix(G)^perp           PARTIAL/WALL (numbers)
    process   dNFR(Omega,..)  -- (consumes input)   CIRCULAR     (arithmetic)

THE LAW (one sentence): a topological (occupant) read-out is DIRECT because it is
a ``Fix(G)`` invariant; a spectral (stage) read-out is PARTIAL because it is
trapped in ``Fix(G)^perp`` (the non-trivial irreps = the symmetry wall); a
process read-out is CIRCULAR because it consumes its own input.

This is the cross-domain face of the SAME representation theory that organizes the
secondary synergies — each algebraic relation an operator has with the coupling
``A`` produces a distinct emergent structure:

    commuting automorphism   [A,P]=0          -> the WALL (Fix^perp confinement)
    anticommuting chiral G    {A,G}=0          -> additive inverse -n / antiparticle
    non-symmetric circulant  A!=A^T,[A,A^T]=0 -> Gauss-sum PHASE (Z/n Fourier basis)
    graph products           spec add/mult     -> +, x (NOT unique factorisation)

Physics
-------
- occupant: the winding ``W = (1/2pi) * circulation`` is the degree of a map
  ``S^1 -> S^1``, an exact integer invariant under every graph automorphism
  (``Aut`` maps cycles to cycles) — the ``Fix(G)`` (trivial-rep) robust charge.
  Two distinct ``Z_2`` involutions send ``W -> -W``: parity ``P`` (an
  orientation-reversing automorphism) and charge conjugation ``C`` (phase
  conjugation ``phi -> -phi``, the chiral involution, ``chiral_involution.py``).
  ``|W|`` is the invariant of both.
- stage: on a vertex-transitive graph the per-node substrate is orbit-constant
  (it lives in ``Fix(G)``) and CANNOT discriminate nodes. The arithmetic
  discriminator lives in the spectrum ``= Fix(G)^perp`` (examples 120/123). On the
  residue Cayley digraph that ``Fix^perp`` sector is exactly the non-trivial
  ``Z_n`` characters = the Gauss-sum eigenbasis (``TNFR_NUMBER_THEORY.md``
  §9.5-9.8, §10.5 — the non-self-adjoint circulant phase operator).
- process: the arithmetic ``dNFR(n)`` computes ``Omega, tau, sigma`` from ``n`` by
  trial division — it consumes the divisibility it "reads", so it is circular
  (Sector A).

Experiments
-----------
1. occupant -- ``|W|`` is an ``Aut(G)`` invariant (Fix): robust / DIRECT
2. the two ``W -> -W`` involutions: parity ``P`` vs charge conjugation ``C``
3. stage per-node -- orbit-constant on a vertex-transitive graph (Fix): BLIND
4. stage spectral -- ``rho(n)`` discriminates primes in ``Fix^perp`` while every
   per-node ``Fix`` quantity stays blind: the WALL
5. the law -- assemble the level x sector table from the measurements

References
----------
- theory/EMERGENT_ONTOLOGY.md §0 (cross-domain axis), §2.3 (this law), §7.1
- theory/TNFR_NUMBER_THEORY.md §9.5-9.8 (sectors + ladder), §10.5 (phase operator)
- examples 123 (Schur Fix/Fix^perp), 120 (arithmetic in Fix^perp), 155 (ladder)
- benchmarks: chiral_involution.py, composition_arithmetic.py,
  residue_phase_vs_riemann.py
- src/tnfr/physics/emergent_particles.py (winding), metrics/common.py (coherence)
"""

import os
import sys

import numpy as np

sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "src"))

from tnfr.physics.emergent_particles import winding_number, winding_ring
from tnfr.metrics.common import structural_coherence
from tnfr.mathematics.number_theory import (
    arithmetic_cayley_digraph,
    quadratic_residue_set,
    residue_network_rank,
)

_TWO_PI = 2.0 * np.pi


# --------------------------------------------------------------------------- #
# Helpers
# --------------------------------------------------------------------------- #
def _dihedral_automorphisms(n):
    """Aut(C_n) = D_n: n rotations i->(i+a)%n and n reflections i->(a-i)%n."""
    autos = [("rot", a, [(i + a) % n for i in range(n)]) for a in range(n)]
    autos += [("ref", a, [(a - i) % n for i in range(n)]) for a in range(n)]
    return autos


def _winding_along(G, order):
    """Winding measured traversing the nodes in the given order."""
    return winding_number(G, order=order)[0]


def _conjugate_phase(G):
    """Charge conjugation C: a copy of G with every phase negated (phi -> -phi)."""
    H = G.copy()
    for i in H.nodes():
        ph = -float(H.nodes[i].get("phase", H.nodes[i].get("theta", 0.0)))
        H.nodes[i]["phase"] = ph
        H.nodes[i]["theta"] = ph
    return H


# --------------------------------------------------------------------------- #
# Experiment 1 -- occupant: |W| is an Aut(G) invariant (Fix) -> DIRECT
# --------------------------------------------------------------------------- #
def experiment_1_occupant_fix_invariant():
    print("=" * 78)
    print("(1) OCCUPANT: the winding |W| is an Aut(G) invariant (Fix sector)")
    print("=" * 78)
    n, W = 12, 2
    G = winding_ring(n, W)
    W0 = _winding_along(G, list(range(n)))
    autos = _dihedral_automorphisms(n)
    preserved = sum(_winding_along(G, perm) == W0 for _, _, perm in autos)
    flipped = sum(_winding_along(G, perm) == -W0 for _, _, perm in autos)
    ok = preserved + flipped == len(autos)
    print(f"  ring C_{n}, planted W={W} -> measured occupant charge W = {W0}")
    print(f"  under all {len(autos)} automorphisms of D_{n}: rotations preserve W "
          f"({preserved}), reflections flip W->-W ({flipped})")
    print(f"  => |W| invariant under EVERY automorphism: {ok}  "
          f"(a Fix(G) topological invariant = DIRECT)")
    return ok


# --------------------------------------------------------------------------- #
# Experiment 2 -- the two W->-W involutions: parity P vs charge conjugation C
# --------------------------------------------------------------------------- #
def experiment_2_parity_vs_charge_conjugation():
    print("=" * 78)
    print("(2) Two distinct Z_2 send W->-W: parity P (automorphism) vs C (chiral)")
    print("=" * 78)
    n, W = 12, 3
    G = winding_ring(n, W)
    W0 = _winding_along(G, list(range(n)))
    # parity P: an orientation-reversing automorphism (reflection i -> -i)
    parity_order = [(-i) % n for i in range(n)]
    W_parity = _winding_along(G, parity_order)
    # charge conjugation C: phase conjugation phi -> -phi (the chiral involution)
    W_charge = _winding_along(_conjugate_phase(G), list(range(n)))
    ok = (W_parity == -W0) and (W_charge == -W0) and abs(W0) == abs(W_parity)
    print(f"  W = {W0};  parity P (reflection): W -> {W_parity};  "
          f"charge-conj C (phi->-phi): W -> {W_charge}")
    print(f"  => both flip the sign, |W| invariant under both: {ok}")
    print("     P = spatial (commuting automorphism); C = chiral (anticommuting "
          "Gamma, = additive inverse -n, chiral_involution.py). Distinct Z_2.")
    return ok


# --------------------------------------------------------------------------- #
# Experiment 3 -- stage per-node: orbit-constant on vertex-transitive (Fix) BLIND
# --------------------------------------------------------------------------- #
def experiment_3_stage_pernode_blind():
    print("=" * 78)
    print("(3) STAGE per-node read-out: orbit-constant on a vertex-transitive graph")
    print("=" * 78)
    n = 12
    G = winding_ring(n, 2)  # a ring is vertex-transitive
    coh = [round(structural_coherence(float(G.nodes[i]["delta_nfr"]), 0.0), 12)
           for i in G.nodes()]
    distinct = len(set(coh))
    ok = distinct == 1
    print(f"  structural_coherence over C_{n}: distinct per-node values = {distinct}")
    print(f"  => orbit-constant (lives in Fix(G)) = {ok}; per-node read-out is "
          "BLIND. A discriminator must sit in Fix(G)^perp.")
    return ok


# --------------------------------------------------------------------------- #
# Experiment 4 -- stage spectral: rho discriminates in Fix^perp while Fix is blind
# --------------------------------------------------------------------------- #
def experiment_4_stage_spectral_fixperp_wall():
    print("=" * 78)
    print("(4) STAGE spectral: rho(n) discriminates primes in Fix^perp (the wall)")
    print("=" * 78)
    samples = [(7, True), (11, True), (13, True), (15, False), (21, False)]
    rows = []
    all_ok = True
    for n, is_prime in samples:
        conn = sorted(c for c in quadratic_residue_set(n) if c != 0)
        G = arithmetic_cayley_digraph(n, conn)
        outdeg = {d for _, d in G.out_degree()}
        pernode_uniform = len(outdeg) == 1          # Fix: vertex-transitive
        rho = residue_network_rank(n, kind="quadratic")
        rho_says_prime = rho == 3                    # Fix^perp spectral invariant
        ok = (rho_says_prime == is_prime) and pernode_uniform
        all_ok &= ok
        rows.append((n, is_prime, pernode_uniform, rho, rho_says_prime))
    print("   n   prime?  per-node uniform (Fix)   rho (Fix^perp)   rho=3<=>prime")
    for n, is_prime, uni, rho, says in rows:
        print(f"  {n:<3}  {str(is_prime):<6}  {str(uni):<22}  {rho:<14}  {says}")
    print("  => per-node (Fix) is uniform for EVERY n (blind to primality); "
          "primality is a spectral Fix^perp invariant (rho).")
    print(f"     all consistent: {all_ok}  (= the symmetry wall, examples 120/123)")
    return all_ok


# --------------------------------------------------------------------------- #
# Experiment 5 -- assemble the level x sector law
# --------------------------------------------------------------------------- #
def experiment_5_the_law(results):
    print("=" * 78)
    print("(5) THE EMERGENCE-DIRECTNESS LAW (assembled from the measurements)")
    print("=" * 78)
    print("   level      read-out        Aut(G) sector     directness")
    print("   ---------  --------------  ----------------  --------------------")
    print("   occupant   winding W       Fix(G)            DIRECT    (particles)")
    print("   stage      spectral rho    Fix(G)^perp       PARTIAL   (numbers/wall)")
    print("   process    dNFR(Om,ta,si)  consumes input    CIRCULAR  (arithmetic)")
    print()
    print("  one law: topological(occupant)=Fix-invariant=DIRECT; spectral(stage)")
    print("  =Fix^perp-trapped=PARTIAL(the wall); process=consumes-input=CIRCULAR.")
    print("  Unifies the position ladder (155/§9.8), particle classification (§7.1),")
    print("  the Riemann/number wall (§9.5-9.7, §10.5) and the §0 axis under ONE")
    print("  principle: representation theory of the coupling's symmetry group.")
    print()
    print("  HONEST SCOPE: every piece is DERIVED/measured; the law is a unifying")
    print("  re-expression (one fixed point, many read-outs). It closes NO open")
    print("  problem -- the wall persists; G4 = RH stays OPEN.")
    return all(results.values())


def main():
    results = {}
    results["1_occupant_fix"] = experiment_1_occupant_fix_invariant()
    print()
    results["2_parity_vs_charge"] = experiment_2_parity_vs_charge_conjugation()
    print()
    results["3_stage_blind"] = experiment_3_stage_pernode_blind()
    print()
    results["4_stage_fixperp"] = experiment_4_stage_spectral_fixperp_wall()
    print()
    ok = experiment_5_the_law(results)
    print()
    print("=" * 78)
    status = "ALL EXPERIMENTS PASSED" if ok else "SOME EXPERIMENTS FAILED"
    print(f"RESULT: {status}")
    print("=" * 78)
    return 0 if ok else 1


if __name__ == "__main__":
    sys.exit(main())