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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/07_number_theory/94_generative_number_construction.py

94_generative_number_construction.py

Example 94 — Generative Number Construction from Structural Atoms

Builds a natural number's complete TNFR structural signature (EPI, νf, ΔNFR) from its prime constituents alone, then certifies the construction as a grammatically well-formed canonical operator sequence.

Physics

The Fundamental Theorem of Arithmetic states every n ≥ 2 factors uniquely as n = ∏ pᵢ^aᵢ. In TNFR this is operational fractality (U5): a composite is a NESTED structure of prime sub-EPIs.

  • Primes are the structural alphabet: AL-emitted atoms with ΔNFR = 0 (zero-pressure fixed points; they require no reorganization).
  • Composites are built by coupling (UM) prime atoms and by recursive self-similar echo (REMESH) for prime powers pᵢ^aᵢ.

The arithmetic functions that drive the signature are homomorphisms over this construction:

text
Ω(m·n) = Ω(m) + Ω(n)              (completely additive)
τ(m·n) = τ(m)·τ(n)   for gcd=1    (multiplicative)
σ(m·n) = σ(m)·σ(n)   for gcd=1    (multiplicative)

with the closed prime-power forms

text
Ω(p^a) = a,  τ(p^a) = a+1,  σ(p^a) = (p^(a+1) − 1)/(p − 1).

Therefore the entire structural signature of n is DETERMINED by its prime atoms {(pᵢ, aᵢ)} — n never needs to be inspected as a monolithic integer.

Experiments

  1. Prime alphabet: primes as AL-emitted ΔNFR = 0 atoms
  2. Generative reconstruction: signature from {(pᵢ, aᵢ)} matches the direct (divisor-enumeration) signature, exactly
  3. Compositional homomorphism laws: the generation rules (Ω additive; τ, σ multiplicative over coprimes)
  4. Grammar certification: the construction maps to a canonical operator sequence that satisfies the unified grammar U1-U6

Honest scope

This REFORMULATES the Fundamental Theorem of Arithmetic in TNFR operator grammar. It does NOT derive the primes themselves — primes are taken as the primitive structural alphabet. It does NOT generate ℕ "from nothing": the arithmetic functions Ω, τ, σ are computed from the factorization. Generating the DISTRIBUTION of primes from structure is the open TNFR-Riemann program (paused at the T-HP boundary; G4 = RH remains open).

References

  • theory/TNFR_NUMBER_THEORY.md §3-§4 (arithmetic triad, primality)
  • theory/UNIFIED_GRAMMAR_RULES.md (U1-U6, U5 multi-scale coherence)
  • src/tnfr/mathematics/number_theory.py (ArithmeticTNFRFormalism)
  • AGENTS.md §"Canonical Invariants" → #1 Nodal Integrity, #3 Fractality

Source Code

python
#!/usr/bin/env python3
"""
Example 94 — Generative Number Construction from Structural Atoms
=================================================================

Builds a natural number's complete TNFR structural signature
(EPI, νf, ΔNFR) from its prime constituents alone, then certifies the
construction as a grammatically well-formed canonical operator sequence.

Physics
-------
The Fundamental Theorem of Arithmetic states every n ≥ 2 factors uniquely
as n = ∏ pᵢ^aᵢ. In TNFR this is operational fractality (U5): a composite
is a NESTED structure of prime sub-EPIs.

- Primes are the **structural alphabet**: AL-emitted atoms with ΔNFR = 0
  (zero-pressure fixed points; they require no reorganization).
- Composites are built by **coupling** (UM) prime atoms and by **recursive
  self-similar echo** (REMESH) for prime powers pᵢ^aᵢ.

The arithmetic functions that drive the signature are homomorphisms over
this construction:

    Ω(m·n) = Ω(m) + Ω(n)              (completely additive)
    τ(m·n) = τ(m)·τ(n)   for gcd=1    (multiplicative)
    σ(m·n) = σ(m)·σ(n)   for gcd=1    (multiplicative)

with the closed prime-power forms

    Ω(p^a) = a,  τ(p^a) = a+1,  σ(p^a) = (p^(a+1) − 1)/(p − 1).

Therefore the entire structural signature of n is DETERMINED by its prime
atoms {(pᵢ, aᵢ)} — n never needs to be inspected as a monolithic integer.

Experiments
-----------
1. Prime alphabet: primes as AL-emitted ΔNFR = 0 atoms
2. Generative reconstruction: signature from {(pᵢ, aᵢ)} matches the direct
   (divisor-enumeration) signature, exactly
3. Compositional homomorphism laws: the generation rules (Ω additive;
   τ, σ multiplicative over coprimes)
4. Grammar certification: the construction maps to a canonical operator
   sequence that satisfies the unified grammar U1-U6

Honest scope
------------
This REFORMULATES the Fundamental Theorem of Arithmetic in TNFR operator
grammar. It does NOT derive the primes themselves — primes are taken as the
primitive structural alphabet. It does NOT generate ℕ "from nothing": the
arithmetic functions Ω, τ, σ are computed from the factorization. Generating
the DISTRIBUTION of primes from structure is the open TNFR-Riemann program
(paused at the T-HP boundary; G4 = RH remains open).

References
----------
- theory/TNFR_NUMBER_THEORY.md §3-§4 (arithmetic triad, primality)
- theory/UNIFIED_GRAMMAR_RULES.md (U1-U6, U5 multi-scale coherence)
- src/tnfr/mathematics/number_theory.py (ArithmeticTNFRFormalism)
- AGENTS.md §"Canonical Invariants" → #1 Nodal Integrity, #3 Fractality
"""

import os
import sys

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

from tnfr.mathematics.number_theory import (
    ArithmeticStructuralTerms,
    ArithmeticTNFRFormalism,
    ArithmeticTNFRParameters,
)
from tnfr.operators.definitions import Coupling, Emission, Recursivity, Silence
from tnfr.operators.grammar_validate import validate_grammar


# ============================================================================
# Atomic structural building blocks
# ============================================================================
def factorize(n: int) -> dict[int, int]:
    """Return the prime factorization of n as {prime: exponent}."""
    factors: dict[int, int] = {}
    temp = n
    d = 2
    while d * d <= temp:
        while temp % d == 0:
            factors[d] = factors.get(d, 0) + 1
            temp //= d
        d += 1
    if temp > 1:
        factors[temp] = factors.get(temp, 0) + 1
    return factors


def omega_from_factors(factors: dict[int, int]) -> int:
    """Ω(n) = Σ aᵢ — completely additive over the prime atoms."""
    return sum(factors.values())


def tau_from_factors(factors: dict[int, int]) -> int:
    """τ(n) = ∏ (aᵢ + 1) — multiplicative divisor count."""
    product = 1
    for a in factors.values():
        product *= a + 1
    return product


def sigma_from_factors(factors: dict[int, int]) -> int:
    """σ(n) = ∏ (pᵢ^(aᵢ+1) − 1)/(pᵢ − 1) — multiplicative divisor sum."""
    product = 1
    for p, a in factors.items():
        product *= (p ** (a + 1) - 1) // (p - 1)
    return product


def reassemble(factors: dict[int, int]) -> int:
    """Rebuild n = ∏ pᵢ^aᵢ from its structural atoms."""
    n = 1
    for p, a in factors.items():
        n *= p**a
    return n


def signature_from_atoms(
    factors: dict[int, int], params: ArithmeticTNFRParameters
) -> tuple[int, ArithmeticStructuralTerms, float, float, float]:
    """Build the full TNFR signature from prime atoms {(pᵢ, aᵢ)} alone."""
    n = reassemble(factors)
    terms = ArithmeticStructuralTerms(
        tau=tau_from_factors(factors),
        sigma=sigma_from_factors(factors),
        omega=omega_from_factors(factors),
    )
    epi = ArithmeticTNFRFormalism.epi_value(n, terms, params)
    nuf = ArithmeticTNFRFormalism.frequency_value(n, terms, params)
    dnfr = ArithmeticTNFRFormalism.delta_nfr_value(n, terms, params)
    return n, terms, epi, nuf, dnfr


def _terms_by_enumeration(n: int) -> ArithmeticStructuralTerms:
    """Independent reference: Ω, τ, σ by direct divisor enumeration."""
    import math

    omega = 0
    temp = n
    for p in range(2, int(math.isqrt(n)) + 1):
        while temp % p == 0:
            omega += 1
            temp //= p
    if temp > 1:
        omega += 1

    tau = 0
    sigma = 0
    for d in range(1, int(math.isqrt(n)) + 1):
        if n % d == 0:
            tau += 1
            sigma += d
            if d != n // d:
                tau += 1
                sigma += n // d
    return ArithmeticStructuralTerms(tau=tau, sigma=sigma, omega=omega)


def _fmt_factors(factors: dict[int, int]) -> str:
    """Human-readable factorization string, e.g. 2*3^2*13."""
    parts = []
    for p in sorted(factors):
        a = factors[p]
        parts.append(f"{p}^{a}" if a > 1 else f"{p}")
    return "*".join(parts) if parts else "1"


# ============================================================================
# EXPERIMENT 1: The prime alphabet (AL-emitted atoms)
# ============================================================================
def experiment_1_prime_alphabet():
    """Primes are the structural alphabet: AL-emitted ΔNFR = 0 atoms."""
    print("=" * 72)
    print("EXPERIMENT 1: The Prime Alphabet (AL-emitted structural atoms)")
    print("=" * 72)
    print()
    print("Physics: each prime is a generator (AL) output — a structural")
    print("atom with ΔNFR = 0. Primes are NOT built from anything smaller;")
    print("they are the irreducible letters of arithmetic construction.")
    print()

    params = ArithmeticTNFRParameters()
    alphabet = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29]

    print(
        f"{'prime':>6}  {'Ω':>2}  {'τ':>2}  {'σ':>4}"
        f"  {'EPI':>7}  {'νf':>7}  {'ΔNFR':>8}"
    )
    print("-" * 60)
    for p in alphabet:
        factors = {p: 1}
        n, terms, epi, nuf, dnfr = signature_from_atoms(factors, params)
        print(
            f"{p:>6}  {terms.omega:>2}  {terms.tau:>2}  {terms.sigma:>4}"
            f"  {epi:>7.4f}  {nuf:>7.4f}  {dnfr:>8.4f}"
        )
        assert abs(dnfr) < 1e-12, f"atom {p} must have ΔNFR = 0"

    print()
    print("VALIDATED: every prime atom has ΔNFR = 0 exactly")
    print("(zero-pressure fixed point — structurally inert).")
    print()


# ============================================================================
# EXPERIMENT 2: Generative reconstruction from atoms
# ============================================================================
def experiment_2_generative_reconstruction():
    """Reconstruct the full signature from {(pᵢ, aᵢ)} and verify exactness."""
    print("=" * 72)
    print("EXPERIMENT 2: Generative Reconstruction from Prime Atoms")
    print("=" * 72)
    print()
    print("Claim: the structural signature of n is FULLY DETERMINED by its")
    print("atoms {(pᵢ, aᵢ)} via multiplicative formulas — n is never read")
    print("as a monolithic integer. We verify against an independent")
    print("divisor-enumeration reference.")
    print()

    params = ArithmeticTNFRParameters()
    targets = [3, 5, 8, 30, 234, 360, 1024]

    print(
        f"{'n':>5}  {'factorization':>14}  {'Ω':>2}  {'τ':>3}  {'σ':>5}"
        f"  {'ΔNFR':>9}  {'match':>5}"
    )
    print("-" * 72)
    for n in targets:
        factors = factorize(n)
        n_rebuilt, terms_atoms, epi, nuf, dnfr = signature_from_atoms(factors, params)
        terms_ref = _terms_by_enumeration(n)

        assert n_rebuilt == n, f"reassembly failed: {n_rebuilt} != {n}"
        match = (
            terms_atoms.omega == terms_ref.omega
            and terms_atoms.tau == terms_ref.tau
            and terms_atoms.sigma == terms_ref.sigma
        )
        assert match, f"reconstruction mismatch for n={n}"

        print(
            f"{n:>5}  {_fmt_factors(factors):>14}  {terms_atoms.omega:>2}"
            f"  {terms_atoms.tau:>3}  {terms_atoms.sigma:>5}"
            f"  {dnfr:>9.4f}  {'OK' if match else 'FAIL':>5}"
        )

    print()
    print("VALIDATED: (Ω, τ, σ) — and hence EPI, νf, ΔNFR — reconstruct")
    print("exactly from the prime atoms via Ω=Σaᵢ, τ=∏(aᵢ+1),")
    print("σ=∏(pᵢ^(aᵢ+1)−1)/(pᵢ−1). No divisor enumeration of n needed.")
    print()


# ============================================================================
# EXPERIMENT 3: Compositional homomorphism laws (the generation rules)
# ============================================================================
def experiment_3_homomorphism_laws():
    """The building-up rules: Ω additive, τ/σ multiplicative over coprimes."""
    print("=" * 72)
    print("EXPERIMENT 3: Compositional Homomorphism Laws")
    print("=" * 72)
    print()
    print("The generation rules under coupling (UM) of coprime structures:")
    print("  Ω(m·n) = Ω(m) + Ω(n)   (additive — emission count adds)")
    print("  τ(m·n) = τ(m)·τ(n)     (multiplicative — divisor lattice)")
    print("  σ(m·n) = σ(m)·σ(n)     (multiplicative — divisor sum)")
    print()

    import math

    coprime_pairs = [(2, 3), (4, 9), (8, 13), (9, 26), (2, 117)]

    print(
        f"{'m':>5}  {'n':>5}  {'gcd':>3}  {'Ω law':>16}"
        f"  {'τ law':>14}  {'σ law':>16}"
    )
    print("-" * 72)
    for m, n in coprime_pairs:
        fm, fn, fmn = factorize(m), factorize(n), factorize(m * n)
        assert math.gcd(m, n) == 1, f"{m},{n} not coprime"

        om_add = omega_from_factors(fmn) == omega_from_factors(fm) + omega_from_factors(
            fn
        )
        tau_mul = tau_from_factors(fmn) == tau_from_factors(fm) * tau_from_factors(fn)
        sig_mul = sigma_from_factors(fmn) == sigma_from_factors(
            fm
        ) * sigma_from_factors(fn)
        assert om_add and tau_mul and sig_mul, f"law broke at {m},{n}"

        om_s = (
            f"{omega_from_factors(fm)}+{omega_from_factors(fn)}"
            f"={omega_from_factors(fmn)}"
        )
        tau_s = (
            f"{tau_from_factors(fm)}*{tau_from_factors(fn)}" f"={tau_from_factors(fmn)}"
        )
        sig_s = (
            f"{sigma_from_factors(fm)}*{sigma_from_factors(fn)}"
            f"={sigma_from_factors(fmn)}"
        )
        print(
            f"{m:>5}  {n:>5}  {math.gcd(m, n):>3}  {om_s:>16}"
            f"  {tau_s:>14}  {sig_s:>16}"
        )

    print()
    print("VALIDATED: the homomorphism laws hold exactly — these ARE the")
    print("structural composition rules of the construction.")
    print()


# ============================================================================
# EXPERIMENT 4: Grammar certification (U1-U6 well-formedness)
# ============================================================================
def _build_operator_sequence(factors: dict[int, int]):
    """Map a factorization to a canonical operator construction sequence.

    Each distinct prime is emitted (AL). A prime power pᵢ^aᵢ with aᵢ>1 adds
    a recursive self-similar echo (REMESH, U5 fractality). Distinct atoms are
    bound by coupling (UM). The sequence is closed with silence (SHA).
    """
    seq = []
    primes = sorted(factors)
    for idx, p in enumerate(primes):
        seq.append(Emission())  # AL: emit the prime atom
        if factors[p] > 1:
            seq.append(Recursivity())  # REMESH: recursive power pᵢ^aᵢ
        if idx > 0:
            seq.append(Coupling())  # UM: bind atom into the composite
    seq.append(Silence())  # SHA: structural closure (U1b)
    return seq


def experiment_4_grammar_certification():
    """The construction sequence must satisfy the unified grammar U1-U6."""
    print("=" * 72)
    print("EXPERIMENT 4: Grammar Certification of the Construction")
    print("=" * 72)
    print()
    print("The atom-by-atom construction maps to a canonical operator")
    print("sequence: AL (emit prime), REMESH (recursive power, U5),")
    print("UM (couple atoms), SHA (closure). It must pass U1-U6.")
    print()

    targets = [3, 8, 30, 234, 360]
    op_short = {
        "Emission": "AL",
        "Recursivity": "REMESH",
        "Coupling": "UM",
        "Silence": "SHA",
    }

    print(
        f"{'n':>5}  {'factorization':>14}  {'operator sequence':<34}" f"  {'U1-U6':>6}"
    )
    print("-" * 72)
    for n in targets:
        factors = factorize(n)
        seq = _build_operator_sequence(factors)
        valid = validate_grammar(seq, epi_initial=0.0)
        seq_str = "-".join(op_short[type(op).__name__] for op in seq)
        print(
            f"{n:>5}  {_fmt_factors(factors):>14}  {seq_str:<34}"
            f"  {'PASS' if valid else 'FAIL':>6}"
        )
        assert valid, f"construction sequence for n={n} violates grammar"

    print()
    print("VALIDATED: every construction sequence is grammatically")
    print("well-formed — generation respects U1 (initiation/closure),")
    print("U3 (resonant coupling) and U5 (multi-scale coherence).")
    print()


def main():
    print()
    print("  TNFR Example 94: Generative Number Construction")
    print("  Numbers as nested structures of prime atoms (U5 fractality)")
    print("  =========================================================")
    print()

    experiment_1_prime_alphabet()
    experiment_2_generative_reconstruction()
    experiment_3_homomorphism_laws()
    experiment_4_grammar_certification()

    print("=" * 72)
    print("HONEST SCOPE")
    print("=" * 72)
    print()
    print("This demo REFORMULATES the Fundamental Theorem of Arithmetic in")
    print("TNFR operator grammar. The structural signature of any n is")
    print("compositionally generated from its prime atoms {(pᵢ, aᵢ)}.")
    print()
    print("It does NOT:")
    print("  - derive the primes themselves (they are the primitive alphabet)")
    print("  - generate ℕ 'from nothing' (Ω, τ, σ come from factorization)")
    print("  - generate the DISTRIBUTION of primes (= open TNFR-Riemann")
    print("    program, paused at the T-HP boundary; G4 = RH remains open)")
    print()
    print("What it DOES establish: a number's complete TNFR identity is")
    print("fixed by how its prime atoms are emitted (AL) and nested")
    print("(REMESH/UM) — the structural content of unique factorization.")
    print()


if __name__ == "__main__":
    main()