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

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© 2026 TNFR project — MIT licensed.DOI 10.5281/zenodo.17602860
docs
grammar
PHYSICS_VERIFICATION.md
API_CONTRACTS.mdCANONICAL_OZ_SEQUENCES.mdEMPIRICAL_CONFRONTATION_EEG.mdREADME.mdSTRUCTURAL_FIELDS_TETRAD.mdSTRUCTURAL_INTERFACE_THEORY.md
theory
APPLIED_STRUCTURAL_ANALYSIS.mdCATALOG_TYPE_HYGIENE_PROGRAMME.mdDISSIPATIVE_AND_OPEN_SYSTEMS.mdEMERGENT_ONTOLOGY.mdEXTENDED_FIELDS_AND_DERIVED_QUANTITIES.mdFUNDAMENTAL_THEORY.mdGAUGE_SYMMETRY_AND_UNIFICATION.mdGLOSSARY.mdMATHEMATICAL_DYNAMICS_BASIS.mdMINIMAL_STRUCTURAL_DEGREES.mdNUCLEUS_A_PRIME_LADDER_ATLAS.mdNUCLEUS_B_EQUIVARIANCE_OBSTRUCTIONS.mdPHYSICAL_REGIME_CORRESPONDENCES.mdREADME.mdREMESH_INFINITY_DERIVATION.mdSTRUCTURAL_CONSERVATION_THEOREM.mdSTRUCTURAL_OPERATORS.mdSTRUCTURAL_STABILITY_AND_DYNAMICS.mdTNFR_BSD_RESEARCH_NOTES.mdTNFR_HODGE_RESEARCH_NOTES.mdTNFR_NAVIER_STOKES_RESEARCH_NOTES.mdTNFR_NUMBER_THEORY.mdTNFR_P_VS_NP_RESEARCH_NOTES.mdTNFR_RIEMANN_RESEARCH_NOTES.mdTNFR_VARIATIONAL_PRINCIPLE.mdTNFR_YANG_MILLS_RESEARCH_NOTES.mdTNFR.pdfUNIFIED_GRAMMAR_RULES.md
factorization-lab
analysis
analyze_patterns.pycertificate_manifest.py
benchmarks
benchmark_analysis.pybenchmark_expansion_suite.pyfull_spectrum_factorization.pypaley_gap_extended.pypaley_gap_smoke.pytest_benchmark_suite.py
demos
experiment_contexts
exp_0b1663cd19b7.jsonexp_0bf0054b7474.jsonexp_75a4c8ca616a.jsonexp_848ee0fd1857.jsonexp_f6fe00562193.jsonexp_fdf3da424e1e.json
failure_telemetry_batch.pyfeedback_integration_demo.pyintegration_demo_snapshots.dbseed_management_integration_demo.pysnapshot_integration_demo.pytrajectory_143.jsontrajectory_77.jsontrajectory_89.jsontrajectory_91.jsontrajectory_97.json
docs
FACTORING_PLAYBOOK.mdFALSE_POSITIVE_TEST_SUITE.mdOPERATOR_CERTIFICATES.mdROADMAP.mdSPECTRAL_ROUTE.md
experiment_contexts
exp_cebe1d9e7d8e.json
notebooks
spectral_history.ipynb
scripts
run_false_positive_tests.py
tests
run_false_positive_test_suite.pytest_cli.pytest_false_positive_methodology.pytest_false_positive_verifier.pytest_feedback_integration.pytest_partitioning.pytest_seed_management.pytest_self_opt_support.pytest_snapshot_system.pytest_spectral_paley.pytest_verification_robustness.py
tnfr_factorization
__init__.pyapi.pycli.pyfailure_telemetry.pyfeedback_adapter.pyfeedback_integration.pypartitioning.pyself_opt_support.pyspectral_paley.py
demo_snapshots.dbLICENSE_SNAPSHOT.mdPACKAGE_SUMMARY.mdREADME.mdseed_management.pysnapshot_system.pytest_certificate_hashing.pytest_installation.pyverification_trajectory_77.json
benchmarks
analyze_tetrad_universality.pyb0star_alpha_canonical_product_graphs.pybenchmark_optimization_tracks.pybenchmark_utils.pyboundary_vibration.pybridge_primes_riemann.pychiral_involution.pycli_utils.pycoherence_projector_sense_index.pycommutant_bridge.pycomposition_arithmetic.pyconfinement_zones_test.pyconservation_law_validation.pydirected_paley_bridge.pyemergent_arithmetic_pulse.pyemergent_atom_dynamics.pyemergent_atomic_shells.pyemergent_base_dimension.pyemergent_dimension_dynamics.pyemergent_fractal_pulse.pyemergent_fractal_simplex_dimension.pyemergent_integers_symmetry.pyemergent_musical_nfr.pyemergent_nfr_geometry.pyemergent_nfr_where.pyemergent_rationals.pyemergent_rhythm.pyemergent_screening.pyemergent_shell_cardinals.pyemergent_shell_ordering.pyemergent_simplex_dimension.pyemergent_substrate_symmetry.pyequivariance_wall.pyexternal_phase_gate_validation.pyfield_methods_battery.pygolden_residue_remesh_bridge.pyintegrated_force_regime_study.pyinverse_spectrum_to_symmetry.pyk_phi_safety_demo.pykuramoto_farey_bridge.pymissing_piece_bridge.pymultichannel_interface_benchmark.pynavier_stokes_recipe_bridge.pynodal_propagator_residue_bridge.pyns_moment_hierarchy_cascade.pyoperational_irreducibility.pypaley_bridge.pyphase_curvature_investigation.pyphase_wall.pyphi_s_confinement_investigation.pyprimes_as_consequence.pypulse_phase_coherence_budget.pyREADME.mdremesh_infinity_riemann_baseline.pyremesh_infinity_riemann_composed.pyremesh_infinity_riemann_modified_graph.pyremesh_infinity_riemann_operator.pyremesh_infinity_riemann_spectral_basis.pyremesh_infinity_riemann_spectral_robustness.pyremesh_infinity_riemann_spectral.pyresidue_phase_vs_riemann.pystructural_interface_benchmark.pytemporal_interface_benchmark.pytetrad_results_aggregate.pyu2_destabilization_irreversibility.pyuniversality_clusters.pyxi_c_fast_experiment.py
primality-test
benchmarks
comprehensive_benchmark.py
docs
ADVANCED_INTEGRATION.mdmathematical_foundation.mdperformance_analysis.md
examples
advanced_examples.pybasic_usage.py
tnfr_primality
__init__.py__main__.pyadvanced_cli.pyadvanced_core.pycli.pyconstants.pycore.pyoptimized.py
MANIFEST.inPACKAGE_SUMMARY.mdREADME.mdRELEASE_NOTES_v1.0.mdsetup.pytest_installation.py
tests
core_physics
__init__.pytest_conservation_laws.pytest_delta_nfr_computation_paths.pytest_delta_nfr.pytest_dispersion_coherence_sign_invariance.pytest_emergent_constants_guard.pytest_lyapunov_operators.pytest_nodal_equation.pytest_structural_triad.py
data
replay_manifests
sample_run
_manifest_summary.json_manifest.json_partition_files.txt.gz
self_opt_validation
seed_alpha
paley.json
seed_beta
integration.json
seed_gamma
unknown.json
self_optimization
test_run
partitioned
test_run
test_run_p0.jsontest_run_p1.json
_manifest_summary.json_manifest.json
engines
test_pattern_discovery_manifest.pytest_self_optimization_engine.py
mathematics
__init__.pytest_autodiff.pytest_backends.pytest_dissipative_dynamics.pytest_epi.pytest_factory_patterns.pytest_metrics.pytest_navier_stokes_refounded.pytest_number_theory_canonical.pytest_operators.pytest_residue_networks.pytest_riemann_nodal_pulse.pytest_riemann_pulse_coherence.pytest_spaces.pytest_transforms.pytest_validator.py
operators
test_canonical_operators_modern.pytest_grammar_canon.pytest_grammar_canonical_consistency.pytest_grammar_dynamics.pytest_operator_contracts.pytest_operator_strategies.py
parallel
test_fractal_partition_manifest.py
physics
test_conservation_gauge_unification.pytest_dissipative_conservation.pytest_emergent_chemistry.pytest_field_cache_invalidation.pytest_gauge.pytest_phase_transition.pytest_signatures.pytest_spectral_conservation.pytest_structural_diffusion.pytest_structural_integrity.pytest_symplectic_substrate.pytest_tetrad_bounds.pytest_variational.pytest_yang_mills_closure.pytest_yang_mills_derivability.pytest_yang_mills_scaling.pytest_yang_mills_structural_gap.pytest_yang_mills_u6_sweep.py
scripts
test_run_self_opt_validation.pytest_run_self_optimization.py
sdk
__init__.pytest_simple_advanced.py
__init__.pyconftest.pyREADME.mdtest_breast_cancer_phase_gate_demo.pytest_classical_mechanics.pytest_distributed_fft.pytest_external_phase_gate_validation.pytest_factorization_entrypoint.pytest_multichannel_interface.pytest_nodal_optimizer.pytest_phase_gate_api.pytest_replay_register_manifest.pytest_signal_confrontation.pytest_structural_interface_api.pytest_structural_interface_baselines.pytest_structural_interface_benchmark.pytest_temporal_interface.pytest_vectorized_coherence_length_regression.pytest_wine_quality_phase_gate_demo.pyutils.py
examples
01_foundations
01_hello_world.py02_musical_resonance.py03_network_formation.py04_operator_sequences.py05_coherence_evolution.py06_network_topologies.py07_phase_transitions.py08_emergent_phenomena.py09_visualization_suite.py10_simplified_sdk_showcase.py
02_physics_regimes
11_classical_limit_comparison.py115_operator_contract_audit.py12_classical_mechanics_demo.py13_quantum_mechanics_demo.py14_uncertainty_and_interference.py15_train_crossing_demo.py17_conservation_law_demo.py26_gauge_structure_demo.py27_variational_principle_demo.py28_dissipative_systems_demo.py29_lyapunov_stability_demo.py30_self_optimization_demo.py31_mathematical_constants_basis.py33_complex_field_unification.py34_conservation_protocol_suite.py35_tetrad_irreducibility.py36_grammar_violation_detector.py37_operator_tetrad_synergy.py38_grammar_energy_landscape.py39_nodal_equation_decomposition.py
03_riemann_zeta
157_nodal_pulse_phase_attack.py41_von_mangoldt_zeta_demo.py42_riemann_zeros_as_resonances.py43_prime_ladder_hamiltonian_demo.py44_weil_explicit_formula_demo.py45_li_keiper_demo.py46_weil_tnfr_positivity_demo.py47_alpha_sweep_demo.py48_admissible_family_sweep_demo.py49_nodeaware_gauge_sweep_demo.py50_uniform_coercivity_demo.py51_adaptive_coercivity_demo.py52_paley_gap_coercivity_demo.py53_lyapunov_spectral_positivity_demo.py54_hilbert_polya_demo.py55_structural_zero_density_demo.py56_spectral_emergence_demo.py57_admissible_rescaling_demo.py58_oscillatory_correction_demo.py
04_riemann_L_twisted
59_dirichlet_l_function_demo.py60_dirichlet_l_continuation_demo.py61_dirichlet_l_hamiltonian_demo.py62_dirichlet_weil_explicit_formula_demo.py63_dirichlet_li_keiper_demo.py64_twisted_weil_positivity_demo.py65_twisted_alpha_sweep_demo.py66_twisted_admissible_family_sweep_demo.py67_twisted_nodeaware_gauge_sweep_demo.py68_twisted_hermite_family_demo.py69_twisted_coercivity_uniform_demo.py70_twisted_paley_gap_coercivity_demo.py71_twisted_lyapunov_spectral_demo.py72_twisted_hilbert_polya_demo.py73_twisted_structural_zero_density_demo.py74_twisted_spectral_emergence_demo.py75_twisted_admissible_rescaling_demo.py76_twisted_oscillatory_correction_demo.py
05_type_hygiene
77_remesh_infinity_residue_split_demo.py78_nuf_type_signature_demo.py79_epi_type_signature_demo.py80_phi_type_signature_demo.py81_dnfr_type_signature_demo.py82_remesh_window_type_signature_demo.py83_delta_phi_max_type_signature_demo.py84_coupling_weights_type_signature_demo.py85_tetrad_closure_signature_demo.py86_currents_closure_signature_demo.py87_aggregates_closure_signature_demo.py88_urules_consistency_signature_demo.py89_operator_catalog_discipline_signature_demo.py
06_navier_stokes
158_navier_stokes_two_face_refounded.py
07_number_theory
100_prime_families_orbits.py101_numbers_as_coupled_network.py102_nodal_flow_primes_equilibria.py116_nuf_emergent_prime_visibility.py146_primality_grammatical_inertness.py147_numbers_as_free_monoid_words.py148_capacity_arm_carries_von_mangoldt.py149_p14_is_the_capacity_arm_operator.py153_structural_frequency_rank_cyclotomy.py40_arithmetic_number_theory.py94_generative_number_construction.py95_primes_from_spectral_waves.py96_spectral_vibration_of_coherence.py97_goldbach_additive_multiplicative.pyemergent_chemistry_particles_demo.py
08_emergent_geometry
103_emergent_substrate_meets_riemann.py106_per_node_polarization_geometry.py107_orthogonal_structure_emergent_geometry.py108_emergent_field_generating_structure.py112_structure_predicts_coherence_flow.py113_overdamped_projection_bridge.py114_substrate_conserved_quantities.py117_emergent_geometry_residue_graph.py118_emergent_vs_classical_operator.py119_phase_sector_directed_residue.py120_symmetry_wall_substrate_vs_spectrum.py121_canonical_symmetry_break_negative.py122_factorization_phase_sector.py123_symmetry_sector_decomposition.py124_emergent_metric_fractal_consistency.py125_node_is_the_emergent_substrate.py126_two_layers_base_fiber.py127_base_is_emergent_not_imposed.py128_base_substrate_coemergence.py129_spectral_gap_base_fiber_clock.py130_operators_break_substrate_charges.py131_coemergent_loop_convergence.py132_geometric_phase_holonomy.py133_psi_topological_defects.py134_spectral_dimension_heat_kernel.py135_arrow_of_time_h_theorem.py136_heat_kernel_coefficients.py137_synchronization_transition.py138_structure_frequency_synchronization.py139_grammar_formal_language.py140_grammar_automaton.py141_grammar_rule_decomposition.py142_grammar_operator_quotient.py143_glyphic_function_sublanguage.py144_branching_combinator.py145_syntactic_monoid_starfree.py150_emergent_grammatical_pattern_parry.py151_grammar_in_emergent_geometry.py152_operator_contract_tetrahedron.py154_conductor_annotated_qr_spectrum.py155_ontological_position_of_numbers.py156_emergence_directness_law.py98_emergent_symplectic_substrate.py99_structural_diffusion.pyunified_fields_showcase.py
09_millennium
109_p_vs_np_coherence_synthesis.py110_bsd_rank_structural_pressure.py111_hodge_discrete_and_honest_gap.py
10_applications
159_empirical_confrontation_pipeline.py90_phase_gate_monitor_demo.py91_breast_cancer_phase_gate_demo.py92_wine_quality_phase_gate_demo.py93_structural_interface_demo.pypytorch_cuda_demo.py
README.md
scripts
replay
__init__.pyregister_manifest.py
__init__.pyREADME.mdrebuild_failure_manifest.pyrun_reproducible_benchmarks.pyrun_self_opt_validation.pyrun_self_optimization.pytnfr_is_prime.pyvalidate_conservation_law.pyverify_internal_references.py
src
core
__init__.pyevaluation.py
tnfr
backends
__init__.pyjax_backend.pynumpy_backend.pyoptimized_numpy.pyREADME.mdtorch_backend.py
cli
__init__.py__init__.pyiarguments.pyarguments.pyiexecution.pyexecution.pyiinteractive_validator.pyREADME.mdutils.pyutils.pyi
compat
__init__.pydataclass.pyjsonschema_stub.pymatplotlib_stub.pynumpy_stub.pyREADME.md
config
__init__.py__init__.pyiconstants.pyconstants.pyidefaults_core.pydefaults_init.pydefaults_metric.pydefaults.pyfeature_flags.pyfeature_flags.pyiglyph_constants.pyoperator_names.pyoperator_names.pyiphysics_derivation.pyprecision_modes.pypresets.pypresets.pyiREADME.mdsecurity.pythresholds.pytnfr_config.py
constants
__init__.py__init__.pyialiases.pyaliases.pyicanonical.pymetric.pymetric.pyioperational.py
core
__init__.pycontainer.pydefault_implementations.pyexceptions.pyinterfaces.pyREADME.md
dynamics
__init__.py__init__.pyiadaptation.pyadaptation.pyiadaptive_sequences.pyadaptive_sequences.pyiadelic.pyadvanced_cache_optimizer.pyadvanced_fft_arithmetic.pyaliases.pyaliases.pyibifurcation.pycache_aware_fft_engine.pycanonical.pycanonical.pyicomputational_hub.pycoordination.pycoordination.pyidistributed_fft.pydnfr.pydnfr.pyidynamic_limits.pyemergent_centralization.pyemergent_integration_engine.pyfeedback.pyfeedback.pyifft_backend.pyfft_cache_coordinator.pyfft_dispatchers.pyfft_engine.pyfft_workers.pyfused_dnfr.pyhomeostasis.pyhomeostasis.pyiintegrators.pyintegrators.pyilearning.pylearning.pyimetabolism.pymulti_modal_cache.pynbody_tnfr.pynbody.pynodal_optimizer.pyoptimization_orchestrator.pypropagation.pyREADME.mdruntime.pyruntime.pyisampling.pysampling.pyiselectors.pyselectors.pyiself_optimizing_engine.pyspectral_structural_fusion.pystructural_cache.pystructural_clip.pysymplectic.pyunified_backend.pyunified_mathematical_cache_orchestrator.py
engines
computation
__init__.pyfft_engine.pyunified_fft_engine.pyunified_gpu_system.py
constants
__init__.pycanonical.pyoperational.py
integration
__init__.pyemergent_integration.py
pattern_discovery
__init__.pymathematical_patterns.pymulti_modal_cache.py
self_optimization
__init__.pyengine.py
__init__.pyREADME.md
errors
__init__.pycontextual.py
factorization
__init__.py
flatten
README.md
gamma
README.md
glyph_history
README.md
glyph_runtime
README.md
immutable
README.md
initialization
README.md
io
README.md
math
__init__.pyfields_symbolic.pygrammar_validators.pyoptimizer.pyREADME.mdsymbolic.py
mathematics
__init__.pybackend.pybackend.pyidynamics.pydynamics.pyiepi.pyepi.pyigenerators.pygenerators.pyiliouville.pymetrics.pymetrics.pyinumber_theory.pyoperators_factory.pyoperators_factory.pyioperators.pyoperators.pyioptimized_primality.pyprojection.pyprojection.pyiREADME.mdruntime.pyruntime.pyispaces.pyspaces.pyispectral.pytransforms.pytransforms.pyiunified_cache.pyunified_numerical.pyzeta.py
metrics
__init__.py__init__.pyibuffer_cache.pybuffer_cache.pyicache_utils.pycoherence.pycoherence.pyicommon.pycommon.pyicore.pycore.pyidiagnosis.pydiagnosis.pyiemergence.pyexport.pyexport.pyiglyph_timing.pyglyph_timing.pyilearning_metrics.pylearning_metrics.pyilocal_coherence.pyphase_coherence.pyphase_compatibility.pyREADME.mdreporting.pyreporting.pyisense_index.pysense_index.pyitelemetry.pytetrad.pytrig_cache.pytrig_cache.pyitrig.pytrig.pyi
multiscale
__init__.pyhierarchical.pyREADME.md
navier_stokes
__init__.pyconservative_face.pyoperator.py
node
README.md
observers
README.md
operators
network_analysis
__init__.pysource_detection.py
postconditions
__init__.pymutation.py
preconditions
__init__.pycoherence.pydissonance.pyemission.pymutation.pyreception.pyresonance.py
strategies
__init__.pydefaults.pygpu_strategies.pystrategy.py
__init__.py__init__.pyialgebra.pycanonical_patterns.pycascade.pycoherence.pycontraction.pycoupling.pycycle_detection.pydefinitions_base.pydefinitions.pydefinitions.pyidissonance.pyemission.pyexpansion.pygrammar_application.pygrammar_canon.pygrammar_context.pygrammar_core.pygrammar_dynamics.pygrammar_error_factory.pygrammar_memoization.pygrammar_patterns.pygrammar_telemetry.pygrammar_types.pygrammar_u6.pygrammar_validate.pygrammar.pygrammar.pyihamiltonian.pyhealth_analyzer.pyintrospection.pyjitter.pyjitter.pyilifecycle.pymetabolism.pymetrics_basic.pymetrics_core.pymetrics_network.pymetrics_structural.pymetrics_u6.pymetrics.pymutation.pynodal_equation.pyoperator_contracts.pypattern_detection.pypatterns.pyREADME.mdreception.pyrecursivity.pyregistry.pyregistry.pyiremesh.pyremesh.pyiresonance.pyself_organization.pysilence.pystructural_units.pytransition.py
parallel
__init__.pyauto_scaler.pydistributed.pyengine.pymonitoring.pypartitioner.pyREADME.md
performance
guardrails.py
physics
__init__.py_helpers.pycalibration.pycanonical.pycell.pyclassical_mechanics.pyconservation_gauge_unification.pyconservation.pydissipative_conservation.pyemergent_chemistry.pyemergent_particles.pyextended.pyfields.pygauge.pyintegrity.pyinteractions.pylife.pylyapunov.pypatterns.pyphase_transition.pyquantum_mechanics.pyREADME.mdsignatures.pyspectral_conservation.pyspectral_metrics.pystructural_diffusion.pysymplectic_substrate.pytelemetry.pyunified.pyvariational.pyvectorized_ops.py
primality
__init__.py
recipes
__init__.pycookbook.pyREADME.md
riemann
__init__.pyadmissible_family_sweep.pyadmissible_rescaling.pyaggregates_closure_signature.pyalpha_sweep.pyanalytic_continuation_dirichlet.pyanalytic_continuation.pycoercivity_uniform.pycoupling_weights_type_signature.pycurrents_closure_signature.pydelta_phi_max_type_signature.pydirichlet_l.pydnfr_type_signature.pyepi_type_signature.pyhilbert_polya.pyli_keiper.pylyapunov_spectral_positivity.pynodal_pulse.pynodeaware_gauge_sweep.pynuf_type_signature.pyoperator_catalog_discipline_signature.pyoperator.pyoscillatory_correction.pypaley_gap_coercivity.pyphi_type_signature.pyprime_ladder_hamiltonian.pypulse_coherence.pyremesh_infinity_residue_split.pyremesh_window_type_signature.pyspectral_emergence.pystructural_zero_density.pytelemetry.pytetrad_closure_signature.pytwisted_admissible_family_sweep.pytwisted_admissible_rescaling.pytwisted_alpha_sweep.pytwisted_coercivity_uniform.pytwisted_hermite_family.pytwisted_hilbert_polya.pytwisted_li_keiper.pytwisted_lyapunov_spectral_positivity.pytwisted_nodeaware_gauge_sweep.pytwisted_oscillatory_correction.pytwisted_paley_gap_coercivity.pytwisted_prime_ladder_hamiltonian.pytwisted_spectral_emergence.pytwisted_structural_zero_density.pytwisted_weil_explicit_formula.pytwisted_weil_positivity.pyurules_consistency_signature.pyvon_mangoldt.pyweil_explicit_formula.pyweil_positivity.py
schemas
__init__.pygrammar.jsonREADME.md
sdk
__init__.py__init__.pyiadaptive_system.pyadaptive_system.pyibuilders.pybuilders.pyifluent.pyfluent.pyiREADME.mdself_opt.pysimple.pytemplates.pytemplates.pyiutils.py
security
__init__.pycrypto.pydatabase.pyREADME.mdsubprocess.pyvalidation.py
sequencing
__init__.pypatterns.pyREADME.md
services
__init__.pyorchestrator.pyREADME.md
sparse
__init__.pyREADME.mdrepresentations.py
structural
README.md
telemetry
__init__.pycache_metrics.pycache_metrics.pyiconstants.pynu_f.pynu_f.pyiREADME.mdunified_telemetry_system.pyverbosity.pyverbosity.pyi
tools
__init__.pydomain_templates.pyREADME.mdsequence_generator.pytnfr_is_prime_cli_optimized.pytnfr_is_prime_cli.py
topology
__init__.pyasymmetry.pyREADME.md
utils
cache_layers.pycache.pycache.pyicallbacks.pycallbacks.pyichunks.pychunks.pyidata.pydata.pyifast_diameter.pygraph.pygraph.pyiinit.pyinit.pyiio.pyio.pyinumeric.pynumeric.pyiREADME.mdtopology.pyunified_cache.py
validation
__init__.py__init__.pyiaggregator.pybase.pycompatibility.pycompatibility.pyiconfig.pygraph.pygraph.pyihealth.pyinput_validation.pyinterface_baselines.pyinvariants.pymultichannel_interface.pyphase_gate.pyREADME.mdrules.pyrules.pyiruntime.pyruntime.pyisequence_validator.pysignal_confrontation.pysoft_filters.pysoft_filters.pyispectral.pyspectral.pyistructural_interface.pytemporal_interface.pyunified_validation_system.pyvalidator.pywindow.pywindow.pyi
visualization
__init__.pycascade_viz.pyhierarchy.pyREADME.mdsequence_plotter.py
yang_mills
__init__.pyclosure.pyderivability.pyscaling.pystructural_gap.pyu6_sweep.py
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tetrad_evaluator.py
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FILE: examples/08_emergent_geometry/133_psi_topological_defects.py

133_psi_topological_defects.py

Example 133 — Topological Defects of the Emergent Field Psi: Phase Vortices, Integer Winding, and Poincare-Hopf Conservation on the Torus

The emergent complex geometric field Psi = K_phi + i*J_phi (curvature + current, AGENTS.md "Complex Geometric Field") has, at every node, a magnitude |Psi| and a phase arg(Psi). Where the phase circulates by a full turn around a closed loop, the field carries a VORTEX -- a topological defect. The WINDING NUMBER

text
w = (1/2pi) * sum_edges wrap_angle( arg Psi_j - arg Psi_i )   over a face

is an EXACT integer: the degree of the map S^1 -> S^1, a topological identity. A face with w=+1 is a vortex, w=-1 an antivortex, w=0 defect-free.

This example localizes these defects in the canonical Psi field and measures their topology. On a TORUS (a periodic grid, no boundary) the total winding must be exactly zero -- the discrete Poincare-Hopf theorem (the Euler characteristic of the torus is 0) -- so defects necessarily come in vortex-antivortex PAIRS, and the net charge is conserved exactly under the canonical nodal dynamics.

Doctrine compliance

Nothing is imported without proof or empirical anchor. The field Psi is the canonical compute_complex_geometric_field; the dynamics is the canonical step(). The winding number is an EXACT topological identity (an integer by construction), and phase vortices are an empirically-established phenomenon (Kosterlitz-Thouless vortices in the XY model, superfluid vortices, liquid- crystal defects). The defects EMERGE from the canonical field; the example localizes and counts them.

Four measured results

M1 EVERY FACE WINDING IS AN INTEGER (TOPOLOGICAL IDENTITY). The winding of arg(Psi) around every face is an integer to machine precision (max deviation ~3e-16). The canonical field decomposes into vortices (+1), antivortices (-1), and defect-free faces (0).

M2 POINCARE-HOPF: TOTAL CHARGE = 0 ON THE TORUS. On the periodic grid (no boundary) the sum of all face windings is exactly 0 for every seed -- the discrete Poincare-Hopf theorem. Defects necessarily come in vortex- antivortex PAIRS (#vortices = #antivortices, exactly).

M3 NET CHARGE IS CONSERVED UNDER CANONICAL EVOLUTION. Evolving with the canonical step(), the net topological charge stays exactly 0 throughout (max|net|=0); the defect COUNT changes only by pair creation/annihilation -- a single vortex can never appear or vanish alone. (The count is not monotone: the canonical phase dynamics moves defects, it does not cleanly anneal them on a frustrated grid -- an honest negative on "coarsening".)

M4 THE TENSOR-SUITE Q IS NOT THE INTEGER WINDING. The "topological charge" Q = |grad phi|J_phi - K_phiJ_dNFR of the tensor-invariant suite (compute_topological_charge) is a CONTINUOUS bilinear density, NOT the integer winding. It does NOT localize the integer-winding defects: the mean |Q| on defect faces and on defect-free faces is essentially equal (defect/regular ratio ~0.96-0.99x, i.e. ~1.0, on both the torus and an open grid), confirming the two are different objects despite the shared name. The genuine topological invariant is the integer winding of arg(Psi).

Honest scope

The winding number is an EXACT topological identity (the degree of a map S^1 -> S^1, an integer by construction), and phase vortices are the empirically- established defects of the XY model / superfluids / liquid crystals -- not new mathematics. The Poincare-Hopf total-charge-zero on the torus is a standard theorem (Euler characteristic 0). The defects emerge from the canonical Psi field; the example localizes them and measures their conservation. It re-expresses established topological-defect physics in the emergent geometry; it closes no open problem.

References

  • src/tnfr/physics/unified.py (compute_complex_geometric_field, compute_topological_charge)
  • src/tnfr/physics/_helpers.py (wrap_angle)
  • AGENTS.md "Complex Geometric Field" (Psi = K_phi + i*J_phi), "Topological Charge" (Q = |grad phi|J_phi - K_phiJ_dNFR)
  • examples/08_emergent_geometry/132_geometric_phase_holonomy.py (phase geometry)
  • examples/08_emergent_geometry/107_orthogonal_structure_emergent_geometry.py (winding number lives in |grad phi|)

Source Code

python
#!/usr/bin/env python3
"""
Example 133 — Topological Defects of the Emergent Field Psi: Phase Vortices,
Integer Winding, and Poincare-Hopf Conservation on the Torus
==============================================================================

The emergent complex geometric field Psi = K_phi + i*J_phi (curvature + current,
AGENTS.md "Complex Geometric Field") has, at every node, a magnitude |Psi| and a
phase arg(Psi). Where the phase circulates by a full turn around a closed loop,
the field carries a VORTEX -- a topological defect. The WINDING NUMBER

    w = (1/2pi) * sum_edges wrap_angle( arg Psi_j - arg Psi_i )   over a face

is an EXACT integer: the degree of the map S^1 -> S^1, a topological identity. A
face with w=+1 is a vortex, w=-1 an antivortex, w=0 defect-free.

This example localizes these defects in the canonical Psi field and measures
their topology. On a TORUS (a periodic grid, no boundary) the total winding must
be exactly zero -- the discrete Poincare-Hopf theorem (the Euler characteristic
of the torus is 0) -- so defects necessarily come in vortex-antivortex PAIRS,
and the net charge is conserved exactly under the canonical nodal dynamics.

Doctrine compliance
-------------------
Nothing is imported without proof or empirical anchor. The field Psi is the
canonical compute_complex_geometric_field; the dynamics is the canonical step().
The winding number is an EXACT topological identity (an integer by
construction), and phase vortices are an empirically-established phenomenon
(Kosterlitz-Thouless vortices in the XY model, superfluid vortices, liquid-
crystal defects). The defects EMERGE from the canonical field; the example
localizes and counts them.

Four measured results
---------------------
M1 EVERY FACE WINDING IS AN INTEGER (TOPOLOGICAL IDENTITY). The winding of
   arg(Psi) around every face is an integer to machine precision (max deviation
   ~3e-16). The canonical field decomposes into vortices (+1), antivortices
   (-1), and defect-free faces (0).

M2 POINCARE-HOPF: TOTAL CHARGE = 0 ON THE TORUS. On the periodic grid (no
   boundary) the sum of all face windings is exactly 0 for every seed -- the
   discrete Poincare-Hopf theorem. Defects necessarily come in vortex-
   antivortex PAIRS (#vortices = #antivortices, exactly).

M3 NET CHARGE IS CONSERVED UNDER CANONICAL EVOLUTION. Evolving with the
   canonical step(), the net topological charge stays exactly 0 throughout
   (max|net|=0); the defect COUNT changes only by pair creation/annihilation --
   a single vortex can never appear or vanish alone. (The count is not
   monotone: the canonical phase dynamics moves defects, it does not cleanly
   anneal them on a frustrated grid -- an honest negative on "coarsening".)

M4 THE TENSOR-SUITE Q IS NOT THE INTEGER WINDING. The "topological charge"
   Q = |grad phi|*J_phi - K_phi*J_dNFR of the tensor-invariant suite
   (compute_topological_charge) is a CONTINUOUS bilinear density, NOT the
   integer winding. It does NOT localize the integer-winding defects: the
   mean |Q| on defect faces and on defect-free faces is essentially equal
   (defect/regular ratio ~0.96-0.99x, i.e. ~1.0, on both the torus and an open
   grid), confirming the two are different objects despite the shared name.
   The genuine topological invariant is the integer winding of arg(Psi).

Honest scope
------------
The winding number is an EXACT topological identity (the degree of a map
S^1 -> S^1, an integer by construction), and phase vortices are the empirically-
established defects of the XY model / superfluids / liquid crystals -- not new
mathematics. The Poincare-Hopf total-charge-zero on the torus is a standard
theorem (Euler characteristic 0). The defects emerge from the canonical Psi
field; the example localizes them and measures their conservation. It
re-expresses established topological-defect physics in the emergent geometry; it
closes no open problem.

References
----------
- src/tnfr/physics/unified.py (compute_complex_geometric_field,
  compute_topological_charge)
- src/tnfr/physics/_helpers.py (wrap_angle)
- AGENTS.md "Complex Geometric Field" (Psi = K_phi + i*J_phi), "Topological
  Charge" (Q = |grad phi|*J_phi - K_phi*J_dNFR)
- examples/08_emergent_geometry/132_geometric_phase_holonomy.py (phase geometry)
- examples/08_emergent_geometry/107_orthogonal_structure_emergent_geometry.py
  (winding number lives in |grad phi|)
"""

import os
import sys

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

from collections import Counter

import networkx as nx
import numpy as np

from tnfr.alias import set_attr
from tnfr.constants import inject_defaults
from tnfr.constants.aliases import ALIAS_EPI, ALIAS_VF
from tnfr.dynamics import default_compute_delta_nfr, step
from tnfr.metrics.common import compute_coherence
from tnfr.physics._helpers import wrap_angle
from tnfr.physics.unified import (
    compute_complex_geometric_field,
    compute_topological_charge,
)

L = 10


def seed_grid(rng, periodic=True, epi_range=0.3):
    """A grid with random phases (rich vortex structure), substrate populated."""
    G = nx.grid_2d_graph(L, L, periodic=periodic)
    inject_defaults(G)
    for nd in G.nodes():
        G.nodes[nd]["theta"] = float(rng.uniform(0, 2 * np.pi))
        set_attr(G.nodes[nd], ALIAS_EPI, float(rng.uniform(-epi_range, epi_range)))
        set_attr(G.nodes[nd], ALIAS_VF, 1.0)
    default_compute_delta_nfr(G)
    return G


def arg_psi(G):
    """Phase arg(Psi) of the canonical complex geometric field, per node."""
    psi = compute_complex_geometric_field(G)
    return {n: float(np.angle(psi[n])) for n in G.nodes()}


def faces(periodic=True):
    """Unit-square faces of the L x L grid (CCW); wraps if periodic."""
    if periodic:
        return [
            [(x, y), ((x + 1) % L, y), ((x + 1) % L, (y + 1) % L), (x, (y + 1) % L)]
            for x in range(L)
            for y in range(L)
        ]
    return [
        [(x, y), (x + 1, y), (x + 1, y + 1), (x, y + 1)]
        for x in range(L - 1)
        for y in range(L - 1)
    ]


def face_winding(arg, face):
    """Integer winding number of arg around a closed face."""
    s = sum(
        wrap_angle(arg[face[(a + 1) % len(face)]] - arg[face[a]])
        for a in range(len(face))
    )
    return s / (2.0 * np.pi)


def charges(G, periodic=True):
    arg = arg_psi(G)
    return [round(face_winding(arg, f)) for f in faces(periodic)]


def experiment_1_integer_winding():
    """M1: every face winding is an integer; vortex/antivortex structure."""
    print("=" * 74)
    print("M1: EVERY FACE WINDING IS AN INTEGER (topological identity)")
    print("=" * 74)
    print("The winding of arg(Psi) around each face is an integer (degree of a")
    print("map S^1 -> S^1). +1 = vortex, -1 = antivortex, 0 = defect-free.")
    print()
    G = seed_grid(np.random.default_rng(0))
    arg = arg_psi(G)
    ws = [face_winding(arg, f) for f in faces()]
    max_dev = max(abs(w - round(w)) for w in ws)
    cs = [round(w) for w in ws]
    print(f"  faces = {len(ws)}, max|w - round(w)| = {max_dev:.1e}")
    print(f"  charge histogram: {dict(sorted(Counter(cs).items()))}")
    print(
        f"  vortices(+1) = {cs.count(1)}, antivortices(-1) = {cs.count(-1)}, "
        f"|charge|>1 = {sum(1 for c in cs if abs(c) > 1)}"
    )
    print()
    print("  -> the canonical Psi field decomposes into integer-charge vortices,")
    print("     antivortices, and defect-free faces; windings exact to ~3e-16.")


def experiment_2_poincare_hopf():
    """M2: total charge = 0 on the torus (Poincare-Hopf)."""
    print()
    print("=" * 74)
    print("M2: POINCARE-HOPF -- TOTAL CHARGE = 0 ON THE TORUS")
    print("=" * 74)
    print("The periodic grid (torus) has no boundary, so the sum of all face")
    print("windings is exactly 0 (Euler characteristic 0). Defects come in pairs.")
    print()
    print(
        f"  {'seed':>6} {'total charge':>13} {'#vortices':>11} "
        f"{'#antivortices':>14}"
    )
    n_zero = 0
    for s in range(4):
        G = seed_grid(np.random.default_rng(s))
        cs = charges(G)
        total = sum(cs)
        nv = sum(1 for c in cs if c > 0)
        na = sum(1 for c in cs if c < 0)
        n_zero += int(total == 0)
        print(f"  {s:>6} {total:>+13d} {nv:>11d} {na:>14d}")
    print()
    print(f"  -> total charge = 0 for {n_zero}/4 seeds (exact): defects come in")
    print("     vortex-antivortex PAIRS (#vortices = #antivortices).")


def experiment_3_net_charge_conservation():
    """M3: net charge conserved under canonical evolution."""
    print()
    print("=" * 74)
    print("M3: NET CHARGE IS CONSERVED UNDER CANONICAL EVOLUTION")
    print("=" * 74)
    print("Evolving with the canonical step(), the net charge stays exactly 0;")
    print("the defect COUNT changes only by vortex-antivortex pair events.")
    print()
    print(
        f"  {'seed':>6} {'net t0->tN':>12} {'max|net|':>9} "
        f"{'count t0->tN':>14} {'C(t)':>7}"
    )
    n_conserved = 0
    for s in range(3):
        G = seed_grid(np.random.default_rng(40 + s))
        cs0 = charges(G)
        nets = [sum(cs0)]
        counts = [sum(1 for c in cs0 if c != 0)]
        for _ in range(15):
            try:
                step(G, dt=0.05)
            except Exception:
                break
            cs = charges(G)
            nets.append(sum(cs))
            counts.append(sum(1 for c in cs if c != 0))
        max_net = max(abs(n) for n in nets)
        n_conserved += int(max_net == 0)
        C = compute_coherence(G)
        print(
            f"  {s:>6} {(str(nets[0]) + '->' + str(nets[-1])):>12} "
            f"{max_net:>9d} "
            f"{(str(counts[0]) + '->' + str(counts[-1])):>14} {C:>7.3f}"
        )
    print()
    print(f"  -> net charge stays exactly 0 for {n_conserved}/3 seeds throughout")
    print("     (topological conservation); the count changes only by pairs.")
    print("     HONEST: the count is NOT monotone -- the canonical phase dynamics")
    print("     moves defects, it does not cleanly anneal them (no coarsening).")


def experiment_4_q_is_not_winding():
    """M4: the tensor-suite Q is a continuous density, not the integer winding."""
    print()
    print("=" * 74)
    print("M4: THE TENSOR-SUITE Q IS NOT THE INTEGER WINDING")
    print("=" * 74)
    print("Q = |grad phi|*J_phi - K_phi*J_dNFR (compute_topological_charge) is a")
    print("CONTINUOUS bilinear density. It does NOT localize the integer-winding")
    print("defects -- mean |Q| is essentially equal on defect and regular faces.")
    print()
    print(f"  {'topology':>12} {'|Q| defect':>11} {'|Q| regular':>12} " f"{'ratio':>7}")
    for label, periodic in [("torus", True), ("open grid", False)]:
        G = seed_grid(np.random.default_rng(0), periodic=periodic)
        arg = arg_psi(G)
        Q = compute_topological_charge(G)
        d, r = [], []
        for f in faces(periodic):
            w = face_winding(arg, f)
            m = np.mean([abs(Q[n]) for n in f])
            (d if abs(w) > 0.5 else r).append(m)
        ratio = np.mean(d) / np.mean(r)
        print(
            f"  {label:>12} {np.mean(d):>11.4f} {np.mean(r):>12.4f} " f"{ratio:>6.2f}x"
        )
    print()
    print("  -> the ratio is ~1.0 in both topologies (Q is essentially blind to")
    print("     the defects): Q does NOT track the integer winding. The genuine")
    print("     topological invariant is the winding of arg(Psi), not Q.")


def main():
    print()
    print("  ===============================================================")
    print("  Topological Defects of the Emergent Field Psi = K_phi + i*J_phi")
    print("  Phase Vortices, Integer Winding, Poincare-Hopf on the Torus")
    print("  ===============================================================")
    print()
    experiment_1_integer_winding()
    experiment_2_poincare_hopf()
    experiment_3_net_charge_conservation()
    experiment_4_q_is_not_winding()
    print()
    print("=" * 74)
    print("WHAT THIS ESTABLISHES")
    print("=" * 74)
    print("The canonical complex field Psi = K_phi + i*J_phi carries phase")
    print("VORTICES: the winding of arg(Psi) around every face is an exact")
    print("integer (M1, a topological identity), the total charge on the torus")
    print("is exactly 0 (M2, Poincare-Hopf -- defects in vortex-antivortex")
    print("pairs), and the net charge is conserved under the canonical dynamics")
    print("(M3, defects move/annihilate only in pairs). The tensor-suite Q is a")
    print("continuous density, NOT the integer winding (M4). HONEST SCOPE: the")
    print("winding number is an exact topological identity (degree of S^1->S^1)")
    print("and phase vortices are the empirically-established defects of the XY")
    print("model / superfluids / liquid crystals -- not new mathematics; the")
    print("defects emerge from the canonical Psi field; closes no open problem.")


if __name__ == "__main__":
    main()