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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_lyapunov_spectral_positivity.py

twisted_lyapunov_spectral_positivity.py

Source Code

python
r"""TNFR χ-twisted Lyapunov-spectral positivity certificate (P44 program).

L-track analogue of the ζ-track Lyapunov-spectral positivity
certificate (P26,
:mod:`tnfr.riemann.lyapunov_spectral_positivity`).  The construction
mirrors P26 line-for-line, replacing the untwisted prime-ladder
Hamiltonian (P14) by the χ-twisted prime-ladder Hamiltonian (P34)
of :mod:`tnfr.riemann.twisted_prime_ladder_hamiltonian`.

Goal
----
Produce an explicit, quantitative certificate that the χ-twisted
prime-ladder Hamiltonian is

1. **self-adjoint**,
2. **strictly positive** with an explicit spectral gap,
3. has **trace-class resolvent** :math:`(\hat H + c\hat I)^{-1}`
   for any :math:`c > 0`,
4. compatible with the structural Lyapunov functional of
   :mod:`tnfr.physics.conservation`: the dynamical flow
   :math:`U(t) = e^{-it\hat H}` preserves the unit-norm sphere and
   the spectral energy :math:`\|H\psi\|^2`.

Analytic anatomy of the certificate
-----------------------------------
Let :math:`\hat H = \hat H_{\mathrm{freq}} + J_0\,
\hat H_{\mathrm{coupling}}` on the χ-twisted prime-ladder Hilbert
space

.. math::

    \mathcal{H}_{\mathrm{PL},\chi}
        = \bigoplus_{p \in \mathcal{P},\; p \nmid q}
          \bigoplus_{k=1}^{K}\, \mathbb{C}\, |p,k\rangle,

where :math:`q` is the conductor of :math:`\chi` (primes dividing
:math:`q` are excluded because :math:`\chi(p^k) = 0` for those :math:`p`).

* ``H_freq`` is real-diagonal with entries
  :math:`\nu_{f,(p,k)} = k\log p` for :math:`p \nmid q`, :math:`k \ge 1`.
  The minimum is therefore

  .. math::

      \Delta_0^{(\chi)}
        = \min_{p \nmid q,\, k \ge 1}\, k\log p
        = \log\!\bigl(\min\{p \text{ prime} : p \nmid q\}\bigr).

  For the three primitive real characters used in the L-track this
  evaluates to:

    * :math:`\chi_3` (:math:`q=3`): :math:`\Delta_0 = \log 2`
    * :math:`\chi_4` (:math:`q=4`): :math:`\Delta_0 = \log 3`
      (since :math:`2 \mid 4`)
    * :math:`\chi_5` (:math:`q=5`): :math:`\Delta_0 = \log 2`

* ``H_coupling`` is real-symmetric (verified at construction in
  :class:`tnfr.operators.hamiltonian.InternalHamiltonian`).  The
  **Kato-Rellich (Weyl) perturbation theorem** applied to bounded
  symmetric perturbations of a self-adjoint diagonal operator gives

  .. math::

      \lambda_{\min}(\hat H)
         \;\ge\; \Delta_0^{(\chi)}
              - |J_0|\,\|\hat H_{\mathrm{coupling}}\|_{\mathrm{op}}.

  When this number is positive, the perturbed χ-twisted Hamiltonian
  is rigorously strictly positive on :math:`\mathcal{H}_{\mathrm{PL},\chi}`.

* Trace-class resolvent.  On a finite-dimensional space every
  operator is trivially trace-class.  The certificate exposes the
  Schatten-1 and Hilbert-Schmidt norms of
  :math:`(\hat H + c\hat I)^{-1}` so that growth with
  :math:`(N_{\mathrm{primes}}, K)` can be tracked exactly as for P26.

* Structural Lyapunov compatibility.  Under the unitary flow
  :math:`U(t) = e^{-it\hat H}` generated by the self-adjoint
  :math:`\hat H`, the spectral energy
  :math:`E_{\mathrm{spec}}[\psi] = \langle\psi|\hat H^2|\psi\rangle`
  is exactly conserved.  The certificate verifies this conservation
  numerically on a battery of random initial states.

Honest scope
------------
What this module **does** establish, rigorously and quantitatively:

* a sufficient quantitative condition

  .. math::

      |J_0|\,\|\hat H_{\mathrm{coupling}}\|_{\mathrm{op}}
         \;<\; \Delta_0^{(\chi)}

  under which the **finite-dimensional** χ-twisted prime-ladder
  Hamiltonian has strictly positive real spectrum with explicit
  gap, real eigenvectors, unitary evolution, and trace-class
  resolvent;

* a numerical certification routine identical to P26 returning the
  actual spectral bottom, spectral gap, Schatten-1 and
  Hilbert-Schmidt norms, and unitary conservation drifts.

What this module **does not** claim:

* it does **not** close gap G4-χ (GRH localisation for
  :math:`L(s,\chi)`);
* the certificate is a statement about the finite-dimensional
  χ-twisted prime-ladder Hamiltonian at fixed
  :math:`(N_{\mathrm{primes}}, K)` for a single primitive real
  character; passing to the analytic continuation introduces a
  non-finite-dimensional limit whose spectrum (in particular the
  localisation of resonance poles on :math:`\operatorname{Re}(s) = 1/2`)
  is not addressed here;
* the Kato-Rellich bound is sharp only for small couplings —
  beyond
  :math:`|J_0|\,\|\hat H_{\mathrm{coupling}}\| \ge \Delta_0^{(\chi)}`
  the certificate explicitly reports ``perturbation_safe = False``;
* the χ-twisted weight operator :math:`\hat W^{(\chi)}` is **not**
  involved in the Lyapunov/positivity statement: the certificate is
  about :math:`\hat H_{\mathrm{int}}` itself.  The role of
  :math:`\hat W^{(\chi)}` is exclusively spectral
  (:math:`Z_{\mathrm{TNFR}}(s,\chi)`); positivity of
  :math:`\hat H_{\mathrm{int}}` is independent of the character.

Status: EXPERIMENTAL — Research prototype for TNFR-Riemann P44 program
(χ-twisted structural positivity certificate, May 2026).
"""

from __future__ import annotations

import math
from dataclasses import dataclass

from ..mathematics.unified_numerical import np
from .lyapunov_spectral_positivity import (
    _matrix_exponential_skew,
    operator_norm,
    resolvent_schatten_norms,
)
from .twisted_prime_ladder_hamiltonian import TwistedPrimeLadderHamiltonian

__all__ = [
    "TwistedLyapunovSpectralCertificate",
    "twisted_compute_spectrum",
    "twisted_kato_rellich_lower_bound",
    "twisted_verify_unitary_flow",
    "compute_twisted_lyapunov_spectral_certificate",
]


# ---------------------------------------------------------------------------
# Atomic spectral primitives (χ-twisted)
# ---------------------------------------------------------------------------


def twisted_compute_spectrum(
    bundle: TwistedPrimeLadderHamiltonian,
) -> np.ndarray:
    r"""Eigenvalues of the P34 χ-twisted Hamiltonian, sorted ascending.

    Identical machinery to :func:`compute_spectrum` for P14: forces
    exact Hermitian symmetry then calls :func:`numpy.linalg.eigvalsh`.

    Parameters
    ----------
    bundle : TwistedPrimeLadderHamiltonian

    Returns
    -------
    np.ndarray
        Real array of eigenvalues, sorted ascending, of shape
        ``(N,)`` where ``N = n_active_primes * max_power``.
    """
    H = bundle.hamiltonian.H_int
    H_sym = 0.5 * (H + H.conj().T)
    return np.linalg.eigvalsh(H_sym)


def twisted_kato_rellich_lower_bound(
    bundle: TwistedPrimeLadderHamiltonian,
) -> dict[str, float]:
    r"""Quantitative Kato-Rellich lower bound on the perturbed χ-twisted spectrum.

    Returns the explicit numbers entering

    .. math::

        \lambda_{\min}(\hat H)
           \;\ge\;
           \min_n \nu_{f,n}
           \;-\;|J_0|\,\|\hat H_{\mathrm{coupling}}\|_{\mathrm{op}}.

    For the χ-twisted ladder the minimum of :math:`\nu_{f,n}` is
    :math:`\log(\min\{p \nmid q\})` (in particular :math:`\log 3` for
    :math:`\chi_4`, :math:`\log 2` for :math:`\chi_3` and
    :math:`\chi_5`).  The routine re-extracts it directly from
    ``H_freq`` so it remains agnostic to the character.

    Parameters
    ----------
    bundle : TwistedPrimeLadderHamiltonian

    Returns
    -------
    dict
        Keys ``unperturbed_gap``, ``coupling_norm``,
        ``perturbation_bound``, ``guaranteed_gap``,
        ``perturbation_safe``.
    """
    H_freq = bundle.hamiltonian.H_freq
    H_coup = bundle.hamiltonian.H_coupling

    diag = np.asarray(np.diag(H_freq)).real.astype(float)
    unperturbed_gap = float(diag.min())

    coupling_norm = operator_norm(H_coup) if H_coup.size > 0 else 0.0
    # H_coupling already has J_0 baked in (via graph attribute
    # H_COUPLING_STRENGTH), exactly as in the untwisted P14 case.
    perturbation_bound = coupling_norm
    guaranteed_gap = unperturbed_gap - perturbation_bound
    perturbation_safe = perturbation_bound < unperturbed_gap

    return {
        "unperturbed_gap": unperturbed_gap,
        "coupling_norm": coupling_norm,
        "perturbation_bound": perturbation_bound,
        "guaranteed_gap": guaranteed_gap,
        "perturbation_safe": bool(perturbation_safe),
    }


def twisted_verify_unitary_flow(
    bundle: TwistedPrimeLadderHamiltonian,
    *,
    n_states: int = 8,
    times: tuple[float, ...] = (0.5, 1.0, 2.0),
    seed: int = 0,
) -> dict[str, float]:
    r"""Numerically certify unitarity of :math:`U(t) = e^{-it\hat H}` for the χ-twisted Hamiltonian.

    For a self-adjoint :math:`\hat H`, the propagator is unitary at
    every real :math:`t`, so for any unit-norm :math:`\psi_0` the
    propagated state :math:`\psi(t) = U(t)\psi_0` satisfies
    :math:`\|\psi(t)\| = 1` exactly, and the spectral energy
    :math:`\langle\psi(t)|\hat H^2|\psi(t)\rangle` is preserved.

    Parameters
    ----------
    bundle : TwistedPrimeLadderHamiltonian
    n_states : int, default 8
        Number of random initial states.
    times : tuple of float, default (0.5, 1.0, 2.0)
        Propagation times to test.
    seed : int, default 0
        RNG seed.

    Returns
    -------
    dict
        Keys ``max_norm_drift``, ``max_energy_drift``, ``unitary``
        (bool, both drifts below ``1e-10``), ``n_states``, ``n_times``.
    """
    H = bundle.hamiltonian.H_int
    H_sym = 0.5 * (H + H.conj().T)
    H2 = H_sym @ H_sym

    rng = np.random.default_rng(int(seed))
    N = H_sym.shape[0]

    max_norm_drift = 0.0
    max_energy_drift = 0.0

    for _ in range(int(n_states)):
        re = rng.standard_normal(N)
        im = rng.standard_normal(N)
        psi0 = (re + 1j * im).astype(complex)
        psi0 /= np.linalg.norm(psi0)

        e0 = float(np.real(psi0.conj() @ H2 @ psi0))

        for t in times:
            U = _matrix_exponential_skew(H_sym, -float(t))
            psi_t = U @ psi0
            n_t = float(np.linalg.norm(psi_t))
            e_t = float(np.real(psi_t.conj() @ H2 @ psi_t))

            max_norm_drift = max(max_norm_drift, abs(n_t - 1.0))
            denom = abs(e0) + 1e-30
            max_energy_drift = max(max_energy_drift, abs(e_t - e0) / denom)

    unitary = (max_norm_drift < 1.0e-10) and (max_energy_drift < 1.0e-10)
    return {
        "max_norm_drift": max_norm_drift,
        "max_energy_drift": max_energy_drift,
        "unitary": bool(unitary),
        "n_states": int(n_states),
        "n_times": int(len(times)),
    }


# ---------------------------------------------------------------------------
# Certificate dataclass + driver
# ---------------------------------------------------------------------------


@dataclass(frozen=True)
class TwistedLyapunovSpectralCertificate:
    r"""χ-twisted analogue of :class:`LyapunovSpectralCertificate`.

    Same four ingredients as P26 (self-adjointness, positivity,
    trace-class resolvent, unitary flow), reported on the χ-twisted
    prime-ladder Hamiltonian.

    Attributes
    ----------
    character_name, character_modulus : str, int
        Identity of the primitive real Dirichlet character used at
        construction (:math:`\chi_3`, :math:`\chi_4`, :math:`\chi_5`).
    n_primes, max_power, coupling, dimension : structural parameters
        ``n_primes`` is the number of **active** primes
        (excluding primes dividing the modulus); ``dimension =
        n_primes * max_power``.
    spectrum_min, spectrum_max, spectral_gap : spectral extrema
    all_real, all_positive : booleans
    max_imaginary_part : float
        Machine-precision residual.
    schatten_1_norm, schatten_2_norm : float
        :math:`\|(\hat H + I)^{-1}\|_1` and
        :math:`\|(\hat H + I)^{-1}\|_2`.
    unperturbed_gap, coupling_norm, perturbation_bound,
    guaranteed_gap, perturbation_safe : Kato-Rellich data
    max_norm_drift, max_energy_drift, unitary : unitary-flow data
    structural_positivity : bool
        ``True`` iff ``spectrum_min > 0`` **and**
        ``perturbation_safe`` **and** ``unitary``.
    notes : str
    """

    character_name: str
    character_modulus: int

    n_primes: int
    max_power: int
    coupling: float
    dimension: int

    spectrum_min: float
    spectrum_max: float
    spectral_gap: float
    all_real: bool
    all_positive: bool
    max_imaginary_part: float

    schatten_1_norm: float
    schatten_2_norm: float
    operator_norm_inverse: float
    shift: float

    unperturbed_gap: float
    coupling_norm: float
    perturbation_bound: float
    guaranteed_gap: float
    perturbation_safe: bool

    max_norm_drift: float
    max_energy_drift: float
    unitary: bool

    structural_positivity: bool
    notes: str = ""

    def summary(self) -> str:
        return (
            "TwistedLyapunovSpectralCertificate("
            f"chi={self.character_name}, q={self.character_modulus}, "
            f"n_primes={self.n_primes}, "
            f"max_power={self.max_power}, "
            f"coupling={self.coupling:.3e}, "
            f"dim={self.dimension}, "
            f"min(lambda)={self.spectrum_min:.6e}, "
            f"gap={self.spectral_gap:.6e}, "
            f"||R||_1={self.schatten_1_norm:.6e}, "
            f"||R||_2={self.schatten_2_norm:.6e}, "
            f"unperturbed_gap={self.unperturbed_gap:.6e}, "
            f"||V||={self.coupling_norm:.6e}, "
            f"guaranteed_gap={self.guaranteed_gap:.6e}, "
            f"perturbation_safe={self.perturbation_safe}, "
            f"unitary={self.unitary}, "
            f"structural_positivity={self.structural_positivity})"
        )


def compute_twisted_lyapunov_spectral_certificate(
    bundle: TwistedPrimeLadderHamiltonian,
    *,
    shift: float = 1.0,
    n_unitary_states: int = 8,
    unitary_times: tuple[float, ...] = (0.5, 1.0, 2.0),
    seed: int = 0,
    positivity_threshold: float = 1.0e-12,
) -> TwistedLyapunovSpectralCertificate:
    r"""Driver: assemble all four positivity ingredients for the χ-twisted Hamiltonian.

    Parameters
    ----------
    bundle : TwistedPrimeLadderHamiltonian
    shift : float, default 1.0
        Shift :math:`c` for the resolvent Schatten norms.  Must
        dominate ``-spectrum.min()``.
    n_unitary_states, unitary_times, seed : forwarded to
        :func:`twisted_verify_unitary_flow`.
    positivity_threshold : float, default 1e-12
        Threshold under which a negative eigenvalue is treated as a
        round-off zero.

    Returns
    -------
    TwistedLyapunovSpectralCertificate
    """
    spectrum = twisted_compute_spectrum(bundle)
    N = int(spectrum.size)
    spectrum_min = float(spectrum.min())
    spectrum_max = float(spectrum.max())
    spectral_gap = spectrum_min
    all_real = True
    all_positive = bool(spectrum_min > -positivity_threshold)
    max_imag = 0.0

    schatten = resolvent_schatten_norms(spectrum, shift=shift)
    kr = twisted_kato_rellich_lower_bound(bundle)
    unit = twisted_verify_unitary_flow(
        bundle,
        n_states=n_unitary_states,
        times=unitary_times,
        seed=seed,
    )

    structural_positivity = bool(
        all_positive and kr["perturbation_safe"] and unit["unitary"]
    )

    notes = (
        f"Decoupled limit (J_0=0): H_int = diag(k log p) for p not "
        f"dividing q={bundle.character_modulus}; spectrum trivially "
        "strictly positive with explicit gap log(min p not dividing q). "
        "Perturbed regime covered by Kato-Rellich envelope reported in "
        "(unperturbed_gap, coupling_norm, guaranteed_gap). "
        "Does NOT close gap G4-chi (GRH localisation on Re(s)=1/2 for "
        "L(s, chi))."
    )

    coupling = float(bundle.coupling)

    n_primes_active = int(bundle.spectrum.primes_active.size)
    max_power = int(bundle.spectrum.max_power)

    return TwistedLyapunovSpectralCertificate(
        character_name=str(bundle.character_name),
        character_modulus=int(bundle.character_modulus),
        n_primes=n_primes_active,
        max_power=max_power,
        coupling=coupling,
        dimension=N,
        spectrum_min=spectrum_min,
        spectrum_max=spectrum_max,
        spectral_gap=spectral_gap,
        all_real=all_real,
        all_positive=all_positive,
        max_imaginary_part=max_imag,
        schatten_1_norm=schatten["schatten_1_norm"],
        schatten_2_norm=schatten["schatten_2_norm"],
        operator_norm_inverse=schatten["operator_norm_inverse"],
        shift=schatten["shift"],
        unperturbed_gap=kr["unperturbed_gap"],
        coupling_norm=kr["coupling_norm"],
        perturbation_bound=kr["perturbation_bound"],
        guaranteed_gap=kr["guaranteed_gap"],
        perturbation_safe=kr["perturbation_safe"],
        max_norm_drift=unit["max_norm_drift"],
        max_energy_drift=unit["max_energy_drift"],
        unitary=unit["unitary"],
        structural_positivity=structural_positivity,
        notes=notes,
    )


# Suppress unused-import lint on ``math``: kept for parity with P26
# (the reference threshold log(2) is reported by callers, not here).
_ = math