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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/100_prime_families_orbits.py

100_prime_families_orbits.py

Example 100 — Prime Families as Orbits and Level-Sets on the Zero-Pressure Set

A structural study of the special prime families (twin, cousin, sexy, Sophie Germain, safe, Cunningham chains, Mersenne, prime constellations) built ENTIRELY on the verified TNFR primality theorem ΔNFR(n) = 0 ⟺ n prime (theory/TNFR_NUMBER_THEORY.md §4). It answers the request for more number-generation studies and the "other groups of primes".

Physics

Every prime is a zero-pressure fixed point of the nodal equation: ∂EPI/∂t = νf·ΔNFR with ΔNFR(p) = 0 (the three pressure channels Ω, τ, σ each vanish independently for primes — §4.1, an exact theorem). The set

text
    Z = { n ≥ 2 : ΔNFR(n) = 0 }  =  the primes

is the zero-pressure fixed-point set. A prime family is then a STRUCTURED SUBSET of Z, selected by an arithmetic map. The families split into exactly three generator classes — the dynamical-systems view of Z:

  1. Additive-gap level-sets (shift map S_g(p) = p + g): twin (g=2), cousin (g=4), sexy (g=6), constellations (k-tuples) Family = { p ∈ Z : p + g ∈ Z }. The integer(s) BETWEEN the pair are the witness; its pressure channels carry the gap's signature.

  2. Affine-recurrence orbits (affine map T(p) = 2p + 1): Sophie Germain = { p ∈ Z : T(p) ∈ Z } Cunningham chain = a MAXIMAL orbit p, T(p), T²(p), … all in Z safe prime = { p ∈ Z : T⁻¹(p) = (p−1)/2 ∈ Z } This class is generative: it builds new family members by iterating a map on the fixed-point set.

  3. Exponential-form images (generator M(p) = 2^p − 1, Fermat 2^(2^n)+1): Mersenne = { p ∈ Z : M(p) ∈ Z }.

Tie to the additive/multiplicative orthogonality (Example 97)

Primes emerge MULTIPLICATIVELY (atoms composed by UM, nested by REMESH; νf = log p is additive-in-log). The additive-gap class (1) is therefore an ADDITIVE OVERLAY on the multiplicatively-defined set Z — exactly the orthogonality Example 97 isolates for Goldbach. The affine (2) and exponential (3) classes are genuine MAPS on Z, so they live inside the TNFR fixed-point picture; their open conjectures concern whether the map returns to Z infinitely often.

Honest scope

  • TNFR DETECTS and GENERATES every family operationally via the verified ΔNFR = 0 criterion plus the maps. Detection is exact (Sophie Germain reproduces OEIS A005384; Mersenne exponents reproduce 2,3,5,7,13,17, 19,31; all verified below).
  • TNFR does NOT prove the families are infinite. Twin-prime, Sophie Germain, and Mersenne infinitude are all OPEN — the same honest stance as Goldbach in Example 97.
  • The witness pressure signatures are FAITHFUL TNFR RESTATEMENTS of classical divisibility facts (e.g. the twin witness p+1 is divisible by 6 for every pair p>3, hence a rich divisor lattice / high τ-pressure). They are not new theorems.
  • The orbit / level-set classification is a TNFR-native ORGANIZING LENS (a dynamical-systems view of Z), not a new arithmetic result.
  • Shared invariant with the physics work: ΔNFR = 0 is the nodal-equation EQUILIBRIUM (no structural pressure). This is the SAME fixed-point condition the transport picture calls equilibrium. But the arithmetic ΔNFR is a per-node function of (Ω, τ, σ), NOT the graph-diffusion Laplacian, so the diffusion/random-walk results (Example 99) do not transfer literally — only the nodal-equation-level fixed-point condition is shared.

References

  • theory/TNFR_NUMBER_THEORY.md §3-§4 (arithmetic triad, ΔNFR=0 theorem)
  • examples/07_number_theory/97_goldbach_additive_multiplicative.py (additive ⊥ multiplicative)
  • examples/07_number_theory/94_generative_number_construction.py (atoms → composites)
  • src/tnfr/mathematics/number_theory.py (ArithmeticTNFRFormalism)
  • AGENTS.md §"Canonical Invariants" → #1 Nodal Integrity

Source Code

python
#!/usr/bin/env python3
"""
Example 100 — Prime Families as Orbits and Level-Sets on the Zero-Pressure Set
=============================================================================

A structural study of the special prime families (twin, cousin, sexy,
Sophie Germain, safe, Cunningham chains, Mersenne, prime constellations)
built ENTIRELY on the verified TNFR primality theorem ΔNFR(n) = 0 ⟺ n
prime (theory/TNFR_NUMBER_THEORY.md §4). It answers the request for more
number-generation studies and the "other groups of primes".

Physics
-------
Every prime is a **zero-pressure fixed point** of the nodal equation:
∂EPI/∂t = νf·ΔNFR with ΔNFR(p) = 0 (the three pressure channels Ω, τ, σ
each vanish independently for primes — §4.1, an exact theorem). The set

        Z = { n ≥ 2 : ΔNFR(n) = 0 }  =  the primes

is the zero-pressure fixed-point set. A **prime family** is then a
STRUCTURED SUBSET of Z, selected by an arithmetic map. The families split
into exactly three generator classes — the dynamical-systems view of Z:

1. **Additive-gap level-sets** (shift map S_g(p) = p + g):
       twin (g=2), cousin (g=4), sexy (g=6), constellations (k-tuples)
   Family = { p ∈ Z : p + g ∈ Z }. The integer(s) BETWEEN the pair are
   the **witness**; its pressure channels carry the gap's signature.

2. **Affine-recurrence orbits** (affine map T(p) = 2p + 1):
       Sophie Germain  = { p ∈ Z : T(p) ∈ Z }
       Cunningham chain = a MAXIMAL orbit p, T(p), T²(p), … all in Z
       safe prime      = { p ∈ Z : T⁻¹(p) = (p−1)/2 ∈ Z }
   This class is **generative**: it builds new family members by iterating
   a map on the fixed-point set.

3. **Exponential-form images** (generator M(p) = 2^p − 1, Fermat 2^(2^n)+1):
       Mersenne = { p ∈ Z : M(p) ∈ Z }.

Tie to the additive/multiplicative orthogonality (Example 97)
------------------------------------------------------------
Primes emerge MULTIPLICATIVELY (atoms composed by UM, nested by REMESH;
νf = log p is additive-in-log). The additive-gap class (1) is therefore an
ADDITIVE OVERLAY on the multiplicatively-defined set Z — exactly the
orthogonality Example 97 isolates for Goldbach. The affine (2) and
exponential (3) classes are genuine MAPS on Z, so they live inside the
TNFR fixed-point picture; their open conjectures concern whether the map
returns to Z infinitely often.

Honest scope
------------
- TNFR DETECTS and GENERATES every family operationally via the verified
  ΔNFR = 0 criterion plus the maps. Detection is exact (Sophie Germain
  reproduces OEIS A005384; Mersenne exponents reproduce 2,3,5,7,13,17,
  19,31; all verified below).
- TNFR does NOT prove the families are infinite. Twin-prime, Sophie
  Germain, and Mersenne infinitude are all OPEN — the same honest stance
  as Goldbach in Example 97.
- The witness pressure signatures are FAITHFUL TNFR RESTATEMENTS of
  classical divisibility facts (e.g. the twin witness p+1 is divisible by
  6 for every pair p>3, hence a rich divisor lattice / high τ-pressure).
  They are not new theorems.
- The orbit / level-set classification is a TNFR-native ORGANIZING LENS (a
  dynamical-systems view of Z), not a new arithmetic result.
- Shared invariant with the physics work: ΔNFR = 0 is the nodal-equation
  EQUILIBRIUM (no structural pressure). This is the SAME fixed-point
  condition the transport picture calls equilibrium. But the arithmetic
  ΔNFR is a per-node function of (Ω, τ, σ), NOT the graph-diffusion
  Laplacian, so the diffusion/random-walk results (Example 99) do not
  transfer literally — only the nodal-equation-level fixed-point condition
  is shared.

References
----------
- theory/TNFR_NUMBER_THEORY.md §3-§4 (arithmetic triad, ΔNFR=0 theorem)
- examples/07_number_theory/97_goldbach_additive_multiplicative.py (additive ⊥ multiplicative)
- examples/07_number_theory/94_generative_number_construction.py (atoms → composites)
- src/tnfr/mathematics/number_theory.py (ArithmeticTNFRFormalism)
- AGENTS.md §"Canonical Invariants" → #1 Nodal Integrity
"""

import os
import sys

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

from sympy import divisor_count, divisor_sigma, factorint

from tnfr.mathematics.number_theory import (
    ArithmeticStructuralTerms,
    ArithmeticTNFRFormalism,
    ArithmeticTNFRParameters,
)

_PARAMS = ArithmeticTNFRParameters()
_TOL = 1e-10


# ============================================================================
# Zero-pressure fixed-point primitives (verified ΔNFR = 0 criterion)
# ============================================================================
def delta_nfr(n: int) -> float:
    """ΔNFR(n) via the canonical arithmetic formalism (0 ⟺ prime)."""
    if n < 2:
        return float("inf")
    omega = sum(factorint(n).values())
    tau = int(divisor_count(n))
    sigma = int(divisor_sigma(n))
    terms = ArithmeticStructuralTerms(tau=tau, sigma=sigma, omega=omega)
    return ArithmeticTNFRFormalism.delta_nfr_value(n, terms, _PARAMS)


def is_zero_pressure(n: int) -> bool:
    """n is a zero-pressure fixed point (⟺ n is prime)."""
    return n >= 2 and abs(delta_nfr(n)) < _TOL


def pressure_components(n: int) -> dict:
    """Per-channel pressure (factorization / divisor / abundance)."""
    omega = sum(factorint(n).values())
    tau = int(divisor_count(n))
    sigma = int(divisor_sigma(n))
    terms = ArithmeticStructuralTerms(tau=tau, sigma=sigma, omega=omega)
    return ArithmeticTNFRFormalism.component_breakdown(n, terms, _PARAMS)


def zero_pressure_set(limit: int) -> list[int]:
    """Z = { n < limit : ΔNFR(n) = 0 } — the primes below `limit`."""
    return [n for n in range(2, limit) if is_zero_pressure(n)]


# ============================================================================
# EXPERIMENT 1: The zero-pressure fixed-point set Z
# ============================================================================
def experiment_1_fixed_point_set():
    """Every prime is a ΔNFR = 0 fixed point; Z is the family substrate."""
    print("=" * 72)
    print("EXPERIMENT 1: The Zero-Pressure Fixed-Point Set Z")
    print("=" * 72)
    print()
    print("Z = { n >= 2 : DeltaNFR(n) = 0 }. The three pressure channels")
    print("(Omega, tau, sigma) each vanish independently at primes (§4.1).")
    print()

    N = 1000
    Z = zero_pressure_set(N)
    # verify the theorem on this substrate: zero pressure <=> prime
    from sympy import isprime

    mismatches = [n for n in range(2, N) if is_zero_pressure(n) != bool(isprime(n))]
    print(f"  |Z| below {N} = {len(Z)} fixed points; first 10: {Z[:10]}")
    print(f"  theorem check: zero-pressure <=> prime mismatches = {len(mismatches)}")
    print(
        f"  sample pressures: DeltaNFR(97)={delta_nfr(97):.1e} (prime), "
        f"DeltaNFR(98)={delta_nfr(98):.3f} (=2·7², composite)"
    )
    print()
    print("VERDICT: Z is exactly the primes — the substrate on which every")
    print("prime family is carved out by an arithmetic map.")
    print()
    return Z


# ============================================================================
# EXPERIMENT 2: Additive-gap level-sets (twin / cousin / sexy)
# ============================================================================
def experiment_2_additive_gap_levelsets(Z):
    """Families S_g = { p in Z : p+g in Z }; the witness carries the gap."""
    print("=" * 72)
    print("EXPERIMENT 2: Additive-Gap Level-Sets (shift map S_g(p)=p+g)")
    print("=" * 72)
    print()
    print("Family_g = { p in Z : p+g in Z }. The integer(s) between the")
    print("pair form the WITNESS; its pressure channels carry the gap's")
    print("structural signature (an additive overlay on Z — cf. Example 97).")
    print()

    Zset = set(Z)
    for g, name in [(2, "twin"), (4, "cousin"), (6, "sexy")]:
        pairs = [(p, p + g) for p in Z if (p + g) in Zset]
        print(f"  {name:>6} (g={g}): {len(pairs):3d} pairs; first 4: {pairs[:4]}")

    print()
    print("  Witness signature for TWIN pairs (the even p+1 between them):")
    twins = [(p, p + 2) for p in Z if (p + 2) in Zset and p > 3]
    div6 = sum(1 for p, _ in twins if (p + 1) % 6 == 0)
    mean_div_p = sum(
        pressure_components(p + 1)["divisor_pressure"] for p, _ in twins
    ) / len(twins)
    print(
        f"    p+1 divisible by 6: {div6}/{len(twins)} pairs (p>3) -> "
        f"{'ALL' if div6 == len(twins) else 'NOT all'}"
    )
    print(f"    mean divisor-pressure of p+1 = {mean_div_p:.2f} (rich lattice)")
    print()
    print("HONEST: 'p+1 always 6|p+1' is the CLASSICAL twin fact, here read")
    print("as high divisor-pressure. A faithful TNFR restatement, not a new")
    print("theorem. Additive gaps are overlays orthogonal to the")
    print("multiplicative coherence of Z (Example 97).")
    print()


# ============================================================================
# EXPERIMENT 3: Affine-recurrence orbits (Sophie Germain / safe / Cunningham)
# ============================================================================
def experiment_3_affine_orbits(Z):
    """Map T(p)=2p+1 acting on Z: Sophie Germain, safe primes, chains."""
    print("=" * 72)
    print("EXPERIMENT 3: Affine-Recurrence Orbits (map T(p)=2p+1 on Z)")
    print("=" * 72)
    print()
    print("T(p) = 2p+1. Sophie Germain = { p in Z : T(p) in Z }; safe =")
    print("{ p in Z : T^-1(p)=(p-1)/2 in Z }; Cunningham chain = maximal")
    print("orbit p, T(p), T²(p), ... staying in Z. This class GENERATES.")
    print()

    sg = [p for p in Z if is_zero_pressure(2 * p + 1)]
    safe = [p for p in Z if (p - 1) % 2 == 0 and is_zero_pressure((p - 1) // 2)]
    print(f"  Sophie Germain (T(p) in Z): {len(sg)} primes; first 8: {sg[:8]}")
    print(
        f"    -> matches OEIS A005384 head [2,3,5,11,23,29,41,53]: "
        f"{sg[:8] == [2, 3, 5, 11, 23, 29, 41, 53]}"
    )
    print(f"  safe primes (T^-1(p) in Z):  {len(safe)} primes; first 8: {safe[:8]}")
    print()

    def chain(p):
        orbit, q = [p], p
        while is_zero_pressure(2 * q + 1):
            q = 2 * q + 1
            orbit.append(q)
        return orbit

    chains = sorted((chain(p) for p in Z if p < 200), key=len, reverse=True)
    print("  Longest Cunningham chains (orbits of T) seeded below 200:")
    for ch in chains[:3]:
        print(f"    length {len(ch)}: {ch}")
    print()
    print("VERDICT: the affine map T moves along Z. A Cunningham chain is a")
    print("maximal run of consecutive zero-pressure fixed points under T —")
    print("a genuine TNFR generative construction on Z.")
    print()


# ============================================================================
# EXPERIMENT 4: Exponential-form images (Mersenne)
# ============================================================================
def experiment_4_exponential_images(Z):
    """Generator M(p)=2^p−1: Mersenne = { p in Z : M(p) in Z }."""
    print("=" * 72)
    print("EXPERIMENT 4: Exponential-Form Images (generator M(p)=2^p−1)")
    print("=" * 72)
    print()
    print("Mersenne = { p in Z : 2^p − 1 in Z }. Bounded range only:")
    print("ΔNFR(2^p−1) needs the factorization of 2^p−1, which grows fast")
    print("(classical large-Mersenne needs Lucas-Lehmer, not a TNFR fact).")
    print()

    mers = [p for p in Z if p <= 31 and is_zero_pressure(2**p - 1)]
    print(f"  Mersenne exponents p<=31 (2^p−1 in Z): {mers}")
    print(
        f"    -> matches known M-exponents [2,3,5,7,13,17,19,31]: "
        f"{mers == [2, 3, 5, 7, 13, 17, 19, 31]}"
    )
    print()
    # show a near miss: 2^11-1 = 23*89 composite (11 is prime but not Mersenne)
    m11 = 2**11 - 1
    comp = pressure_components(m11)
    print(f"  near miss: 2^11−1 = {m11} = 23·89, ΔNFR = {delta_nfr(m11):.3f} > 0")
    print(
        f"    (factorization-pressure {comp['factorization_pressure']:.3f}: "
        f"Ω=2 ⟹ image left Z)"
    )
    print()
    print("VERDICT: the exponential generator M maps only a sparse subset of")
    print("Z back into Z. TNFR detects membership exactly in range; it does")
    print("NOT decide Mersenne infinitude (open).")
    print()


# ============================================================================
# EXPERIMENT 5: Synthesis — the three generator classes
# ============================================================================
def experiment_5_synthesis():
    """The dynamical-systems classification of prime families on Z."""
    print("=" * 72)
    print("EXPERIMENT 5: Synthesis — Three Generator Classes on Z")
    print("=" * 72)
    print()
    print("  Class            Map               Families")
    print("  ---------------  ----------------  --------------------------------")
    print("  additive-gap     S_g(p)=p+g        twin, cousin, sexy, constellations")
    print("  affine-recur.    T(p)=2p+1         Sophie Germain, safe, Cunningham")
    print("  exponential      M(p)=2^p−1        Mersenne (Fermat 2^(2^n)+1)")
    print()
    print("All three carve structured subsets out of the SAME object: the")
    print("zero-pressure fixed-point set Z = { ΔNFR = 0 } = the primes.")
    print()
    print("  • additive-gap families are ADDITIVE overlays on the")
    print("    multiplicatively-defined Z — orthogonal to coherence (Ex. 97);")
    print("  • affine and exponential families are genuine MAPS on Z whose")
    print("    open conjectures ask whether the map returns to Z infinitely.")
    print()
    print("HONEST SCOPE: detection/generation is exact via the verified")
    print("ΔNFR=0 theorem; infinitude conjectures (twin, Sophie Germain,")
    print("Mersenne) remain OPEN. The classification is a TNFR organizing")
    print("lens; the witness signatures restate classical divisibility facts.")
    print()


def main():
    print()
    print("  TNFR Example 100: Prime Families as Orbits and Level-Sets")
    print("  Structured subsets of the zero-pressure fixed-point set Z")
    print("  =========================================================")
    print()
    Z = experiment_1_fixed_point_set()
    experiment_2_additive_gap_levelsets(Z)
    experiment_3_affine_orbits(Z)
    experiment_4_exponential_images(Z)
    experiment_5_synthesis()
    print("=" * 72)
    print("WHAT THIS ESTABLISHES")
    print("=" * 72)
    print()
    print("The special prime families are not a miscellany: they are the")
    print("structured subsets of the single TNFR object Z = { ΔNFR = 0 },")
    print("carved out by three classes of arithmetic map (additive shift,")
    print("affine recurrence, exponential generator). TNFR detects and")
    print("generates them exactly via the verified primality theorem; it")
    print("does not resolve their infinitude conjectures. The view unifies")
    print("'the other groups of primes' under the zero-pressure fixed-point")
    print("picture and connects them to the additive/multiplicative")
    print("orthogonality of Example 97.")
    print()


if __name__ == "__main__":
    main()