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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: src/tnfr/riemann/twisted_li_keiper.py

twisted_li_keiper.py

Source Code

python
r"""TNFR-Riemann P36 -- Li/Keiper criterion for Dirichlet L-functions.

Structural analogue of P16 (:mod:`tnfr.riemann.li_keiper`) for general
primitive Dirichlet L-functions :math:`L(s, \chi)`.  Implements the
generalised Li-Keiper criterion (Bombieri-Lagarias 1999;
Lagarias 2007 generalisation to the Selberg class) for primitive real
``\chi`` and reuses the canonical TNFR P35 zero finder
(:func:`tnfr.riemann.twisted_weil_explicit_formula.find_dirichlet_l_zeros`)
to source the non-trivial zeros on the critical line.

Mathematical statement
----------------------

For a primitive Dirichlet character ``\chi`` mod ``q`` define the
``\chi``-twisted Li-Keiper coefficients

.. math::

    \lambda_n(\chi) \;=\; \sum_{\rho} \Bigl[ 1
                              - \bigl(1 - \tfrac{1}{\rho}\bigr)^n \Bigr],
    \qquad n \ge 1,

where ``\rho`` ranges over all non-trivial zeros of ``L(s, \chi)``,
counted with multiplicity and with the implicit pairing
``\rho \leftrightarrow \bar\rho``.  Lagarias' generalisation of Li's
1997 theorem then reads

.. math::

    \mathrm{GRH}_\chi \;\Longleftrightarrow\;
        \lambda_n(\chi) > 0 \quad \text{for every } n \ge 1.

For **primitive real** characters (Legendre / Kronecker symbols) the
functional equation pairs ``\rho`` with ``\bar\rho`` on
``\operatorname{Re}(s) = 1/2`` (under GRH), so the sum reduces to

.. math::

    \lambda_n(\chi) \;=\;
        \sum_{k} 2\, \operatorname{Re}\!\Bigl[
            1 - \bigl(1 - \tfrac{1}{\rho_k}\bigr)^n \Bigr],
    \qquad \rho_k = \tfrac{1}{2} + i\, t_k,\; t_k > 0,

structurally identical to the ``\zeta``-case (P16) once the zero list
is sourced from ``L(s, \chi)`` instead of ``\zeta(s)``.

TNFR reading
------------

In the canonical TNFR-Riemann pipeline the non-trivial zeros of
``L(s, \chi)`` appear as **resonance poles** of the ``\chi``-twisted
prime-ladder L-series after the P33 analytic continuation
(:mod:`tnfr.riemann.analytic_continuation_dirichlet`).  The P35 zero
finder (Hardy-Z bisection on ``Z_\chi(t)``) enumerates these poles on
the critical line.  Computing ``\lambda_n(\chi)`` from those locations
recasts the generalised Riemann Hypothesis for ``L(s, \chi)`` as a
TNFR-internal positivity diagnostic on the structural resonance
spectrum of the canonical P34 Hamiltonian.

Honesty disclaimer
------------------

This module does **NOT** prove GRH for any ``L(s, \chi)``.  Li's
criterion is GRH-equivalent: a finite verification of
``\lambda_n(\chi) > 0`` for ``n = 1, \ldots, N`` proves GRH only in
the limit ``N \to \infty`` with rigorous control of the truncation
error from the finite zero list.  The numerical evidence produced
here is a TNFR-native diagnostic witness, not a proof.

Public API
----------
``twisted_li_coefficients``           Compute :math:`\lambda_1, \ldots,
                                       \lambda_{n_{\max}}` from a list
                                       of upper-half-plane ``L(s, \chi)``
                                       zeros (delegates to the canonical
                                       P16 routine, which is L-function
                                       agnostic).
``TwistedLiKeiperCertificate``         Frozen result with positivity
                                       flag, zero count, and summary.
``verify_twisted_li_keiper_criterion`` End-to-end verification: enumerate
                                       ``L(s, \chi)`` zeros via P35 then
                                       check positivity of every
                                       ``\lambda_n(\chi)``.
"""

from __future__ import annotations

from dataclasses import dataclass

from ..mathematics.unified_numerical import np
from .dirichlet_l import DirichletCharacter
from .li_keiper import li_coefficients_from_zeros
from .twisted_weil_explicit_formula import character_parity, find_dirichlet_l_zeros

# ---------------------------------------------------------------------------
# Thin re-export so that callers do not need to import the P16 routine
# directly.  The mathematics is identical (sum is L-function agnostic).
# ---------------------------------------------------------------------------


def twisted_li_coefficients(
    zeros_upper,
    n_max: int,
    *,
    dps: int = 50,
):
    r"""Compute :math:`\lambda_n(\chi)` for :math:`n = 1, \ldots, n_{\max}`.

    Thin wrapper around
    :func:`tnfr.riemann.li_keiper.li_coefficients_from_zeros` --
    the sum over zeros is L-function agnostic, so the only thing
    that distinguishes the ``\chi``-case from the ``\zeta``-case is the
    source of the zero list.  Kept as a named entry point so that
    callers can express their intent (``λ_n`` of an L-function) at the
    API level.

    See :func:`tnfr.riemann.li_keiper.li_coefficients_from_zeros` for
    full documentation of the algorithm and precision controls.
    """
    return li_coefficients_from_zeros(zeros_upper, n_max, dps=dps)


# ---------------------------------------------------------------------------
# Certificate dataclass
# ---------------------------------------------------------------------------


@dataclass(frozen=True)
class TwistedLiKeiperCertificate:
    r"""Result of a ``\chi``-twisted Li-Keiper positivity check.

    Attributes
    ----------
    character_name
        Human-readable label of the Dirichlet character (e.g.
        ``"chi_3"``).
    character_modulus
        Conductor ``q`` of ``\chi``.
    character_parity
        Parity ``a = (1 - \chi(-1))/2 \in \{0, 1\}`` of ``\chi``.
    n_max
        Highest Li index computed.
    n_zeros_used
        Number of non-trivial zeros of ``L(s, \chi)`` used in the
        truncation.
    t_max
        Upper search bound on the critical line; every zero in
        ``(0, t_{\max})`` is enumerated.
    zeros
        Real array of the ``n_zeros_used`` positive imaginary parts
        ``t_k`` (ascending).
    lambda_coefficients
        Array of shape ``(n_max,)`` with ``\lambda_n(\chi)``.
    positivity
        ``True`` iff every ``\lambda_n(\chi) > 0`` for
        ``n = 1, \ldots, n_{\max}``.
    min_lambda
        Minimum of the computed coefficients (negative value
        immediately falsifies GRH_χ within the truncation).
    """

    character_name: str
    character_modulus: int
    character_parity: int
    n_max: int
    n_zeros_used: int
    t_max: float
    zeros: np.ndarray
    lambda_coefficients: np.ndarray
    positivity: bool
    min_lambda: float

    def summary(self) -> str:
        r"""Return a multi-line human-readable summary."""
        lam = self.lambda_coefficients
        lines = [
            "Twisted Li-Keiper certificate (TNFR-Riemann P36)",
            "-" * 60,
            f"  character           = {self.character_name}",
            f"  modulus q           = {self.character_modulus}",
            f"  parity a            = {self.character_parity}",
            f"  n_max               = {self.n_max}",
            f"  n_zeros_used        = {self.n_zeros_used}",
            f"  t_max (search)      = {self.t_max:.3f}",
            f"  lambda_1            = {lam[0]:+.6e}",
            f"  lambda_{self.n_max}".ljust(22) + f"= {lam[-1]:+.6e}",
            f"  min_n lambda_n      = {self.min_lambda:+.6e}",
            f"  positivity (GRH_chi)= {self.positivity}",
        ]
        return "\n".join(lines)


# ---------------------------------------------------------------------------
# End-to-end verification
# ---------------------------------------------------------------------------


def verify_twisted_li_keiper_criterion(
    chi: DirichletCharacter,
    *,
    n_max: int = 30,
    t_max: float = 80.0,
    t_min: float = 0.5,
    initial_step: float = 0.25,
    dps: int = 50,
    zero_search_dps: int = 30,
    character_label: str | None = None,
) -> TwistedLiKeiperCertificate:
    r"""Verify the χ-twisted Li-Keiper positivity criterion.

    Steps
    -----
    1. Enumerate every zero ``\rho_k = 1/2 + i t_k`` of ``L(s, \chi)``
       with ``0 < t_k < t_{\max}`` via P35
       (:func:`find_dirichlet_l_zeros`).
    2. Compute ``\lambda_n(\chi)`` for ``n = 1, \ldots, n_{\max}`` via
       :func:`twisted_li_coefficients` (delegates to the canonical P16
       routine, mpmath-precision-controlled).
    3. Check positivity of every coefficient.

    Parameters
    ----------
    chi : DirichletCharacter
        Primitive real character (Legendre / Kronecker symbol).
    n_max : int, default 30
        Highest Li-Keiper index to compute.
    t_max : float, default 80.0
        Upper bound of the critical-line zero search.  Must be large
        enough that the tail truncation error in
        ``\lambda_n(\chi)`` keeps the sign of every coefficient.
    t_min : float, default 0.5
        Lower bound of the zero search (must be ``> 0``).
    initial_step : float, default 0.25
        Step for the Hardy-Z sign-change scan.  Should be much
        smaller than the typical zero spacing of ``L(s, \chi)``.
    dps : int, default 50
        Mpmath working decimal precision for the ``\lambda_n``
        computation.
    zero_search_dps : int, default 30
        Mpmath working decimal precision for the Hardy-Z zero search
        (lower than ``dps`` because bisection of a real-valued
        function is intrinsically less precision-hungry than the
        cancellation-heavy ``\lambda_n`` sum).
    character_label : str, optional
        Human-readable name for the character (defaults to
        ``chi.name`` if defined, else ``f"chi mod {chi.modulus}"``).

    Returns
    -------
    TwistedLiKeiperCertificate

    Notes
    -----
    For primitive real ``\chi`` of small conductor and ``t_{\max}``
    on the order of ``80``, the first ``\sim 30`` Li-Keiper
    coefficients are positive and well-separated from zero,
    matching the numerical evidence in Lagarias 2007 and
    Bombieri-Lagarias 1999 for Dirichlet L-functions.  A single
    negative ``\lambda_n`` would falsify GRH for ``L(s, \chi)``
    within the truncation precision; the absence of one is
    consistent with GRH but does NOT prove it.
    """
    if n_max < 1:
        raise ValueError("n_max must be >= 1")
    if t_max <= t_min:
        raise ValueError("t_max must be > t_min")
    if t_min <= 0:
        raise ValueError("t_min must be > 0")

    # --- Resolve label -----------------------------------------------------
    label = character_label
    if label is None:
        label = getattr(chi, "name", None) or f"chi mod {int(chi.modulus)}"

    parity = character_parity(chi)
    q = int(chi.modulus)

    # --- Step 1: enumerate zeros via P35 ----------------------------------
    zero_ts = find_dirichlet_l_zeros(
        chi,
        t_max=t_max,
        t_min=t_min,
        initial_step=initial_step,
        dps=zero_search_dps,
    )
    if len(zero_ts) == 0:
        raise RuntimeError(
            f"No zeros of L(s, {label}) found in (t_min={t_min}, "
            f"t_max={t_max}). Increase t_max or decrease initial_step."
        )

    zeros_upper = [complex(0.5, float(t)) for t in zero_ts]
    zeros_arr = np.asarray(zero_ts, dtype=float)

    # --- Step 2: compute lambda_n via canonical P16 routine ----------------
    lambda_arr = twisted_li_coefficients(zeros_upper, n_max, dps=dps)

    # --- Step 3: positivity check -----------------------------------------
    positivity = bool(np.all(lambda_arr > 0))
    min_lambda = float(lambda_arr.min())

    return TwistedLiKeiperCertificate(
        character_name=str(label),
        character_modulus=q,
        character_parity=int(parity),
        n_max=int(n_max),
        n_zeros_used=len(zero_ts),
        t_max=float(t_max),
        zeros=zeros_arr,
        lambda_coefficients=lambda_arr,
        positivity=positivity,
        min_lambda=min_lambda,
    )


__all__ = [
    "twisted_li_coefficients",
    "TwistedLiKeiperCertificate",
    "verify_twisted_li_keiper_criterion",
]