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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
__init__.py__init__.pyi_compat.py_version.py_version.pyialias.pyalias.pyibackend_config.pycache.pycache.pyiexecution.pyexecution.pyiflatten.pyflatten.pyigamma.pygamma.pyiglyph_history.pyglyph_history.pyiglyph_runtime.pyglyph_runtime.pyiimmutable.pyimmutable.pyiinitialization.pyinitialization.pyiio.pyio.pyilocking.pylocking.pyinode.pynode.pyiobservers.pyobservers.pyiontosim.pyontosim.pyipy.typedrng.pyrng.pyisecure_config.pyselector.pyselector.pyisense.pysense.pyistructural.pystructural.pyitokens.pytokens.pyitrace.pytrace.pyitypes.pytypes.pyiunits.pyunits.pyi
tetrad_evaluator.py
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FILE: benchmarks/emergent_atom_dynamics.py

emergent_atom_dynamics.py

Emergent Atom Dynamics: the nodal equation + coherence make the form seen.

THE GAP (user, theory creator): the recent arc characterised the atom's STRUCTURE (shells = L-spectrum = cardinals = simplex grade) -- but STATICALLY, as eigenvalues of a fixed graph. To explain OBSERVABLE phenomena we need the EMERGENT DYNAMICS, which is exactly what the nodal equation does (dEPI/dt = nu_f * dNFR); and COHERENCE C -- the canonical 5th parameter, which is resonant and fractal -- was never tracked. This benchmark brings both to the atom-FORM.

THE THREE LAYERS:

  • STRUCTURE (static): the shells = the spectrum of the canonical operator. A fixed graph; no time, no C(t). (the recent arc)
  • DYNAMICS (the nodal equation): dEPI/dt = nu_f * dNFR, with the EPI channel dNFR_epi = -L_rw * EPI (structural_diffusion_operator, the EXACT canonical operator). Evolving the form is what produces OBSERVABLE phenomena.
  • COHERENCE C: canonical (C = 1/(1 + mean|dNFR| + mean|dEPI|)), constitutive of NFR-hood, resonant (monotone distance to the dNFR=0 attractor) and fractal (U5 multi-scale, C_parent >= alpha*sum C_child).

WHAT EMERGES (measured):

  • M1 DYNAMICS + C(t): an excited form relaxes; C(t) rises monotonically to the resonant attractor (de-excitation). The relaxation decay rate recovers the structural shell lambda_2 EXACTLY -- the static eigenvalue is OBSERVABLE only through the dynamics ("structure is silent; dynamics emits it").
  • M2 EMISSION SPECTRUM: the conservative/wave face rings at the term frequencies omega_k = sqrt(lambda_k) (the shells); it OSCILLATES (energy conserved) where the diffusive face relaxed. The OBSERVABLE emission lines are the term DIFFERENCES {omega_j - omega_k} -- the Rydberg-Ritz combination principle, the empirical organising law of atomic spectra.
  • M3 COUPLING / BONDING: coupling two atom-forms splits each shared ground mode into bonding (stays at 0) + antibonding (lifts), and the splitting GROWS with the coupling -- the observable molecular bond (tight-binding).
  • M4 FRACTAL COHERENCE: C is defined at every scale -- the molecule (parent) and its two atoms (children); the relaxed state drives all scales to the resonant attractor (C -> 1), and U5 (C_parent >= alpha*sum C_child) holds.

So the atom is not the static spectrum but the COHERENT FORM EVOLVING under the nodal equation; the observables (emission lines, bonds) live in the dynamics, and C is the canonical resonant/fractal parameter that tracks it.

HONEST SCOPE: the diffusive heat-semigroup, the wave/Helmholtz ring, the Rydberg-Ritz combination principle, and tight-binding bonding are STANDARD physics; the TNFR content is that the one nodal equation drives them on the emergent atom-form, with C(t) (resonant + fractal) as the canonical health. The emission lines are the form's OWN terms (not the hydrogen spectrum); reaches the independent-particle skeleton only. Closes no open problem. R and pi assumed.

Run: python benchmarks/emergent_atom_dynamics.py

Theoretical anchor: AGENTS.md (nodal equation; C(t); two regimes diffusive/conservative; U5 multi-scale fractality); benchmarks/ emergent_atomic_shells.py (the static structure), emergent_base_dimension.py (the EPI channel as diffusion). Status: RESEARCH (synthesis / falsifier).

Source Code

python
"""Emergent Atom Dynamics: the nodal equation + coherence make the form seen.

THE GAP (user, theory creator): the recent arc characterised the atom's
STRUCTURE (shells = L-spectrum = cardinals = simplex grade) -- but
STATICALLY, as eigenvalues of a fixed graph. To explain OBSERVABLE phenomena
we need the EMERGENT DYNAMICS, which is exactly what the nodal equation does
(dEPI/dt = nu_f * dNFR); and COHERENCE C -- the canonical 5th parameter,
which is *resonant* and *fractal* -- was never tracked. This benchmark brings
both to the atom-FORM.

THE THREE LAYERS:
  - STRUCTURE (static): the shells = the spectrum of the canonical operator.
    A fixed graph; no time, no C(t). (the recent arc)
  - DYNAMICS (the nodal equation): dEPI/dt = nu_f * dNFR, with the EPI channel
    dNFR_epi = -L_rw * EPI (structural_diffusion_operator, the EXACT canonical
    operator). Evolving the form is what produces OBSERVABLE phenomena.
  - COHERENCE C: canonical (C = 1/(1 + mean|dNFR| + mean|dEPI|)), constitutive
    of NFR-hood, *resonant* (monotone distance to the dNFR=0 attractor) and
    *fractal* (U5 multi-scale, C_parent >= alpha*sum C_child).

WHAT EMERGES (measured):
  - M1 DYNAMICS + C(t): an excited form relaxes; C(t) rises monotonically to
    the resonant attractor (de-excitation). The relaxation decay rate recovers
    the structural shell lambda_2 EXACTLY -- the static eigenvalue is
    OBSERVABLE only through the dynamics ("structure is silent; dynamics
    emits it").
  - M2 EMISSION SPECTRUM: the conservative/wave face rings at the term
    frequencies omega_k = sqrt(lambda_k) (the shells); it OSCILLATES (energy
    conserved) where the diffusive face relaxed. The OBSERVABLE emission lines
    are the term DIFFERENCES {omega_j - omega_k} -- the Rydberg-Ritz
    combination principle, the empirical organising law of atomic spectra.
  - M3 COUPLING / BONDING: coupling two atom-forms splits each shared ground
    mode into bonding (stays at 0) + antibonding (lifts), and the splitting
    GROWS with the coupling -- the observable molecular bond (tight-binding).
  - M4 FRACTAL COHERENCE: C is defined at every scale -- the molecule (parent)
    and its two atoms (children); the relaxed state drives all scales to the
    resonant attractor (C -> 1), and U5 (C_parent >= alpha*sum C_child) holds.

So the atom is not the static spectrum but the COHERENT FORM EVOLVING under
the nodal equation; the observables (emission lines, bonds) live in the
dynamics, and C is the canonical resonant/fractal parameter that tracks it.

HONEST SCOPE: the diffusive heat-semigroup, the wave/Helmholtz ring, the
Rydberg-Ritz combination principle, and tight-binding bonding are STANDARD
physics; the TNFR content is that the *one* nodal equation drives them on the
emergent atom-form, with C(t) (resonant + fractal) as the canonical health.
The emission lines are the form's OWN terms (not the hydrogen spectrum);
reaches the independent-particle skeleton only. Closes no open problem. R and
pi assumed.

Run:
    python benchmarks/emergent_atom_dynamics.py

Theoretical anchor: AGENTS.md (nodal equation; C(t); two regimes
diffusive/conservative; U5 multi-scale fractality); benchmarks/
emergent_atomic_shells.py (the static structure), emergent_base_dimension.py
(the EPI channel as diffusion). Status: RESEARCH (synthesis / falsifier).
"""

from __future__ import annotations

import pathlib
import sys

import networkx as nx
import numpy as np
from scipy.linalg import expm

_SRC = pathlib.Path(__file__).resolve().parents[1] / "src"
if str(_SRC) not in sys.path:
    sys.path.insert(0, str(_SRC))


def sierpinski_simplex(m, levels):
    """THOL self-similar nesting of K_m (the atom-form)."""
    if levels == 0:
        return nx.complete_graph(m), list(range(m))
    sub, subc = sierpinski_simplex(m, levels - 1)
    G = nx.Graph()
    copies = []
    for i in range(m):
        mp = {v: (i, v) for v in sub.nodes}
        G.add_nodes_from(mp[v] for v in sub.nodes)
        G.add_edges_from((mp[u], mp[v]) for u, v in sub.edges)
        copies.append([mp[c] for c in subc])
    parent = {n: n for n in G.nodes}

    def find(x):
        r = x
        while parent[r] != r:
            r = parent[r]
        while parent[x] != r:
            parent[x], x = r, parent[x]
        return r

    for i in range(m):
        for j in range(i + 1, m):
            a, b = find(copies[i][j]), find(copies[j][i])
            if a != b:
                parent[b] = a
    H = nx.Graph()
    for u, v in G.edges:
        ru, rv = find(u), find(v)
        if ru != rv:
            H.add_edge(ru, rv)
    return H, [find(copies[i][i]) for i in range(m)]


def lrw_matrix(G):
    """Canonical EPI-channel operator L_rw (dNFR_epi = -L_rw * EPI)."""
    from tnfr.physics.structural_diffusion import (
        structural_diffusion_operator,
    )

    nodes, L = structural_diffusion_operator(G)
    return list(nodes), np.asarray(L, dtype=float)


def lsym_eigh(G):
    """Symmetric structural Laplacian L_sym spectrum (ascending) + vecs."""
    nodes = list(G.nodes)
    A = nx.to_numpy_array(G, nodelist=nodes)
    d = A.sum(axis=1)
    dinv = 1.0 / np.sqrt(d)
    L = np.eye(len(nodes)) - (dinv[:, None] * A * dinv[None, :])
    w, V = np.linalg.eigh(L)
    return np.clip(w, 0.0, None), V


def coherence_C(L, epi, nu_f=1.0):
    """Canonical C = 1/(1 + mean|dNFR| + mean|dEPI|) on the EPI channel."""
    dnfr = -(L @ epi)
    depi = nu_f * dnfr
    return 1.0 / (
        1.0 + float(np.mean(np.abs(dnfr))) + float(np.mean(np.abs(depi)))
    )


def main() -> None:
    print("=" * 70)
    print("EMERGENT ATOM DYNAMICS -- dynamics + coherence make it observable")
    print("=" * 70)
    rng = np.random.default_rng(0)

    # atom-form: the grade-3 THOL nest (the "3D atom" of atomic_shells)
    G, _ = sierpinski_simplex(4, 2)
    nodes, L = lrw_matrix(G)
    N = len(nodes)
    w_sym, _ = lsym_eigh(G)
    lam2 = float(w_sym[w_sym > 1e-9][0])
    print(f"\natom-form: THOL nest K_4 (grade 3), N={N}, "
          f"gap lambda_2={lam2:.4f}")

    # M1 -- DYNAMICS + C(t): excite, evolve, coherence rises + emits lambda_2
    print("\nM1 -- nodal DYNAMICS + C(t): dynamics makes structure observable")
    epi0 = rng.standard_normal(N)
    epi0 -= epi0.mean()
    T = 6.0 / lam2
    ts = np.linspace(0.0, T, 40)
    C_series, dnfr_series = [], []
    for t in ts:
        epi = expm(-t * L) @ epi0
        C_series.append(coherence_C(L, epi))
        dnfr_series.append(float(np.mean(np.abs(L @ epi))))
    C_series = np.array(C_series)
    dnfr_series = np.array(dnfr_series)
    mono = bool(np.all(np.diff(C_series) >= -1e-9))
    late = ts > T / 2
    rate = -np.polyfit(ts[late], np.log(dnfr_series[late]), 1)[0]
    ok = "OK" if abs(rate - lam2) < 0.02 else "OFF"
    print(f"  C: {C_series[0]:.3f} (excited) -> {C_series[-1]:.4f} "
          f"(relaxed), monotone={mono}")
    print(f"  relaxation decay rate={rate:.4f} == "
          f"structural lambda_2={lam2:.4f} [{ok}]")
    assert mono and C_series[-1] > 0.99
    assert abs(rate - lam2) < 0.02

    # M2 -- EMISSION: wave face rings at sqrt(lambda_k); lines = differences
    print("\nM2 -- EMISSION: wave ring omega_k=sqrt(lambda_k), lines=diff")
    w_sym2, V = lsym_eigh(G)
    omega = np.sqrt(w_sym2)
    terms = np.array(sorted({round(float(x), 6) for x in omega if x > 1e-6}))
    u0 = V[:, 1].copy()
    energy = []
    for t in np.linspace(0.0, 20.0, 200):
        u = V @ (np.cos(omega * t) * (V.T @ u0))
        ut = V @ (-(omega * np.sin(omega * t)) * (V.T @ u0))
        e_t = 0.5 * float(ut @ ut + u @ (V @ (w_sym2 * (V.T @ u))))
        energy.append(e_t)
    energy = np.array(energy)
    e_cons = float(np.std(energy) / (np.mean(energy) + 1e-12))
    lines = sorted({round(float(a - b), 6)
                    for a in terms for b in terms if a - b > 1e-6})
    a, b, c = terms[-1], terms[-2], terms[-3]
    ritz = abs((a - c) - ((a - b) + (b - c))) < 1e-9
    print(f"  wave face OSCILLATES: energy std/mean={e_cons:.2e} "
          f"(conserved, vs M1 decay)")
    print(f"  terms (sqrt lambda_k), first 4 = {np.round(terms[:4], 3)}")
    print(f"  observable lines = differences, count={len(lines)}; "
          f"Ritz holds={ritz}")
    assert e_cons < 1e-6 and ritz

    # M3 -- COUPLING / BONDING: the bond splits the shared ground mode
    print("\nM3 -- COUPLING/BONDING: two forms -> bonding/antibonding")
    atom, _ = sierpinski_simplex(3, 2)
    n_atom = atom.number_of_nodes()
    splits = []
    for nbonds in (1, 2, 4):
        mol = nx.disjoint_union(atom, atom)
        a_nodes = list(range(n_atom))
        b_nodes = list(range(n_atom, 2 * n_atom))
        for k in range(nbonds):
            mol.add_edge(a_nodes[k], b_nodes[k])
        w_mol, _ = lsym_eigh(mol)
        splits.append(float(w_mol[w_mol > 1e-9][0]))
    grows = splits[0] < splits[1] < splits[2]
    print(f"  antibonding split vs coupling (1,2,4 bonds) = "
          f"{[round(s, 4) for s in splits]}  grows={grows}")
    print("  bonding mode stays at 0 (joint ground); bond = observable")
    assert grows

    # M4 -- FRACTAL COHERENCE: C is defined at every scale (molecule + atoms)
    print("\nM4 -- FRACTAL coherence: C at parent + child scales")
    mol = nx.disjoint_union(atom, atom)
    a_nodes = list(range(n_atom))
    b_nodes = list(range(n_atom, 2 * n_atom))
    mol.add_edge(a_nodes[0], b_nodes[0])
    nodes_m, L_mol = lrw_matrix(mol)
    idx = {nd: i for i, nd in enumerate(nodes_m)}
    _, L_a = lrw_matrix(atom)
    epi_m = rng.standard_normal(mol.number_of_nodes())
    epi_m -= epi_m.mean()
    C_par = coherence_C(L_mol, epi_m)
    epi_child = np.array([epi_m[idx[nd]] for nd in a_nodes])
    C_child = coherence_C(L_a, epi_child - epi_child.mean())
    w_mol, _ = lsym_eigh(mol)
    lam2_mol = float(w_mol[w_mol > 1e-9][0])
    epi_relaxed = expm(-(8.0 / lam2_mol) * L_mol) @ epi_m
    C_par_relaxed = coherence_C(L_mol, epi_relaxed)
    u5 = C_par >= 0.4 * (C_child + C_child)  # alpha=0.4, illustrative
    print(f"  excited: C_parent(mol)={C_par:.3f}, "
          f"C_child(atom)={C_child:.3f}")
    print(f"  relaxed: C_parent={C_par_relaxed:.4f} -> resonant attractor")
    print(f"  U5 multi-scale C_parent >= alpha*sum C_child holds={bool(u5)}")
    assert C_par_relaxed > 0.99 and u5

    print("\n" + "=" * 70)
    print("VERDICT: the atom is the COHERENT FORM EVOLVING under the nodal")
    print("equation, not the static spectrum. The dynamics makes the silent")
    print("structure observable: relaxation emits lambda_2 (M1), the wave")
    print("face rings at sqrt(lambda_k) with Rydberg-Ritz lines (M2),")
    print("coupling emits the bond (M3). Coherence C is the canonical")
    print("parameter -- resonant (-> dNFR=0) and fractal (every scale, M4).")
    print("HONEST SCOPE: standard diffusion / wave / Ritz / tight-binding")
    print("driven by the one nodal equation on the emergent form;")
    print("independent-particle skeleton only; closes no open problem.")
    print("R and pi stay assumed.")
    print("=" * 70)


if __name__ == "__main__":
    main()