Featured: Paper 3 — Energy Conservation & Cascade Stabilisation

3D Galerkin NS experiments with the energy-conserving v3 solver. Complex Fourier coefficients with correct −i factor. All results independently validated by Python and scipy. Read paper · Zenodo

FileLanguageDescriptionKey Result
experiment_energy_audit.c C Energy conservation test at ν=0 across multiple Δt values v2: 14.87% drift. v3: 0.01% (Euler only)
experiment_adaptive_n.c C Adaptive truncation: N grows dynamically when cascade approaches boundary N stabilises at 14, energy −73%, Ω bounded
experiment_tipping_point.c C Scaffold array contraction ratios across 12 amplitudes All ρ < 1 at every A through 0.35
experiment_crossshell_transfer.c C Six-array cross-shell analysis: energy, enstrophy, shell η, transfer, diffusion, accumulation Energy & enstrophy ρ < 0.5 through A=0.50
experiment_scaffold_array.c C Multi-perspective scaffold array with contraction ratio computation Framework that discovered the v2 energy bug
analytical_proof_steps.c C Three-step proof validation: cascade γ, Leray verification, time-uniformity γ < 0, C=0.123, time-uniform
verify_lemma.c C Computational verification of Lemma 9.5: RK bounded C = 0.031 across 8 (ν, A) combinations
verify_lemma_extreme.c C Lemma verification at extreme parameters: ν=0.001, A=2.0 C = 0.025 across 16 (ν, A) combinations
taylor_green_test.c C Analytical test: Taylor-Green vortex with known exact energy decay Matches exp(−6νt) to 10−7
interval_verify.c C Formal verification: NL rate=0 at 5 ICs, bit-exact, div-free to 10−16 All tests pass
ns_galerkin_3d.py Python Independent Python implementation of 3D NS Galerkin solver E(0) matches C to 10−8, NL=0
dedalus_ns_test.py Python Cross-validation with scipy RK45 (adaptive, rtol=10−10) E(T) within 9×10−6

Solver Versions

FileStatusDescription
solvers/v3/triad_kernel_v3.c CORRECT Complex Fourier coefficients, −i factor, exact energy conservation. Use this.
solvers/v2/triad_kernel_v2.c BROKEN Real coefficients, missing −i. 1–15% spurious energy. Preserved for history.

Paper 5: Unified Spectral Framework for Arithmetic Oscillations

53 experiments exploring zeta-zero spectral decomposition of arithmetic functions, breach prediction, and calibration. All in C with 2,001,052 Odlyzko zeros. Read paper · Zenodo · Code

FileDescriptionKey Result
quick_sum.cCore amplitude sum Sf(K) for all 6 functionsAll 6 diverge. Three growth regimes identified. <1s
paper_data.cGenerates all tables in the paperComplete paper reproduction in <2s
explicit_formula.cExplicit formula evaluator — M(x)/√x at any scaleMillisecond evaluation at 103 to 10200
wave_plotter.cCSV output for wave reconstruction figuresAll paper figures
swt_solve.cProduction pipeline: predict and verify Chebyshev bias reversalsπ(19,3)>π(19,1): 1.2% error
swt_pipeline.cEnd-to-end SWT pipeline: load zeros, compute, predict45 bias reversals solved
exp01–exp07Scaffold colour map, prime gaps, zeta scaffold, sieve layers, contraction, rotation depth, raw primesColour map of number theory established
exp08–exp14Divergence analysis, jerk, unit interval, hypercube, convergence, inverse, binaryFramework validation across sequence types
exp15–exp21Shade analysis, adversarial, product, algebras, matched sieve, rotate sieve, factorsSieve and algebraic structure probes
exp22–exp28Leapfrog to 10249, reflection, million gaps, hundred million, all sequences, 1873 analysis, calibrationRH consistent from 106 to 10249
exp29_bigint_leapfrog.cBig-integer leapfrog into the zone (10100–10500)Colour oscillates ±0.02, no drift
exp30_wavelet_spectrum.cWavelet colour spectrum — Haar vs db3/db51.8709 = Haar void. Broken conjectures visible under smoother wavelets
exp31_nothing_random.cRod Conjecture test — 96% PRNG leakingScale dependence confirmed
exp32_study_the_broken.cPólya breach anatomy — 38 pointsKnife-edge breach, immediate recession, full cycle
exp33_wave_decomposition.cWave decomposition of L, M, π to 1BZeta zero frequencies extracted from arithmetic
exp34_calibration_catalog.c500 breach events, calibration catalog96% validation accuracy
exp35_universal_catalog.c40-function catalog across 4 families6,000 breach events, 30% zeta match rate
exp36_breach_predict.cTrain on [1, 500K], predict breaches in [500K, 1M]div_err: 100% accuracy (4/4 predicted)
exp37–exp40Per-conjecture keys, predict open, Mertens deep, predict all18/22 conjectures at 80–100% match rate
exp41_find_the_number.cPólya breach scale prediction109.2 vs known 109.0 = 2.7% error
exp42–exp49Envelope growth, gamma-scale map, theoretical decay, multi-calibrate, sign change, type2 calibrate, full calibrateA(γ) = C/(γ√(log γ)), sum diverges as (log γ)3/2
exp50–exp53Find reversal, mod3 predict, mod24 predict, verify reversalChebyshev bias reversals verified computationally
plot_all_conjectures.cAll-conjecture plotting pipelineWave + swell + breach for each conjecture
rh_extrapolate.cExtrapolation of RH-related growth ratesAmplitude growth consistent with critical exponent

Paper 4: Cross-Domain Scaffold — Euler, SQG & MHD

Cascade subcriticality verified across three fluid equations beyond Navier–Stokes. The kinetic cascade exponent γ < 0 universally. MHD magnetic cascade gives γmag = 0.9–1.4 < 2. Read paper · Zenodo

EquationConfigurationsKey Result
3D Euler (ν = 0)4 IC families, N = 2–8γ ∈ [−19.7, −0.3], energy conserved exactly
2D SQG2 configurationsγ < 0, cascade weakening confirmed without viscosity
3D MHD4 configurationsKinetic γ < 0, magnetic γmag = 0.9–1.4 < 2

Paper 2: Holistic Scaffold Framework for NS Regularity

1D Galerkin evidence at 6–24 modes. H/H′/H″ diagnostic hierarchy with doubling-time criterion. Read paper · Zenodo

Mode Scaling Experiments (Simplex)

FileModelResultScore
exp_ns_6mode_solved.sx 6-mode (3+3), \(k=1,2,3\) \(A^* = 1.136\), \(P/\text{truth} = 86.1\%\), \(\alpha = 2.0\) 17/20
exp_ns_8mode_solve.sx 8-mode (4+4), forward cascade \(A^* = 0.290\), \(P/\text{truth} = 95.5\%\), \(\alpha = 2.0\) 16/16
exp_ns_10mode_solve.sx 10-mode (5+5), two cascade stages \(A^* = 0.302\), \(P/\text{truth} = 96.1\%\), \(\alpha = 2.0\) 13/14
exp_ns_12mode_solve.sx 12-mode (6+6), triad cascade \(A^* = 0.328\), \(P/\text{truth} = 93.8\%\), \(\alpha = 2.0\) 14/14
exp_ns_16mode_solve.sx 16-mode (8+8), deep cascade \(k=1{-}4\) \(A^* = 0.347\), \(P/\text{truth} = 94.6\%\), \(\alpha = 2.0\) 14/14
Mode Scaling Summary All 5 models compared \(A^*\) increasing, \(\alpha = 2.0\) universal, P/truth 93–96%
exp_ns_net_transfer.sx Net energy transfer \(T(k)\) per shell \(T(k) < 0\) at all \(k\) with \(H^1\) spectrum
exp_ns_continuum_coupling.sx Continuum coupling and spectral self-consistency Bounded enstrophy ⇒ decaying spectrum ⇒ forward cascade

Verification Points

PageValidatesResultScore
Verification Point 1 Feedback loop is structural (parameter-independent) \(L_1 \uparrow\) AND \(L_2 \downarrow\) at all 9 parameter combos 9/9
Verification Point 2 \(A^*\) positive universally \(A^*\) ranges 0.247–0.606 across 12 combos + 3 IC types 15/15
Verification Point 3 Scaffold chain complete (all 4 arrows) Each arrow independently confirmed 5 times 20/20
Verification Point 4 Doubling time = BKM criterion Correct classification: shrinking \(\tau_d \leftrightarrow\) blow-up 6/6

Paper 1: Unified Adaptation Theorem

103 experiments validating convergence of composed adaptive systems via interaction matrices. 36 theorems, cross-domain validation. Read paper · Zenodo

Core Theorem

FileValidatesResultTheorems
exp_contraction.sx5 subsystem types contract in Fisher metric5/5 contract, \(\beta < 1\)Theorem 1
exp_gradient_interference.sxCosine-scaled projection resolves all conflicts500/500 (100%)Theorem 2
exp_lyapunov.sxNormalised Lyapunov never increases0% violationsTheorem 3
exp_invariants.sxFoundational constraints under strong gradients0 violations / 15,000 stepsProposition 3.5
exp_timescale.sxFast/slow timescale separation100% two-timescale, 95.9%+ three-timescaleTheorem 1
exp_composition.sxFull composed system convergesSystem converges within toleranceTheorems 1–5
exp_interaction_matrix.sxInteraction matrix discovers coalition topologyConverges in 5 cyclesTheorem 4
exp_convergence_order.sxHigher-order convergence score \(S\)\(S \to 0.9997\)Theorem 5
exp_iratio_proof.sx\(I = -\tfrac{1}{2}\) at equilibrium for \(K = 2 \ldots 20\)138/138 pass, max error \(2.22 \times 10^{-16}\)Theorem 13
exp_iratio_proof_statistical.sx\(I = -\tfrac{1}{2}\) for 70 random problems70/70 passTheorem 13
exp_balance_residual.sxB-flow gradient descent vs loss-flowB-flow: \(8.8 \times 10^{-16}\), loss: \(3.3 \times 10^{-4}\) — 14T×Theorem 14

Cognitive / Belief

FileValidatesResultTheorems
exp_anima_deep.sxBelief interaction, consolidation, desire effects31% calibration improvementTheorems 6, 7
exp_anima_correlated.sxCorrelated beliefs with misaligned desiresDesire acts as Bayesian regulariserTheorem 7
exp_belief_cascade.sxChain, circular, delayed topologiesChain topology discovered from dataConjecture 6.4
exp_skeptical_annealing.sxSkeptic vs believer across all horizonsSkeptic wins always — refutes annealing conjectureConj. 6.3 (Refuted), 6.5
exp_memory_dynamics.sxForgetting rate, transfer, self-referenceMeta-gradient recovers near-optimal \(\lambda^*\)Conjectures 6.6–6.10
exp_liquid_hive.sxLiquid neural network in hive architectureDynamic reconfiguration convergesTheorems 6, 7

Cross-Domain

FileValidatesResultTheorems
exp_chaos_boundary.sx\(S\) detects chaos onset in logistic mapFeigenbaum point at \(r \approx 3.57\)Theorem 12
exp_s_vs_lyapunov.sx\(S\) and Lyapunov exponent complementary\(S\)-\(\lambda\) complementarity confirmedProp. 12.1
exp_nash_equilibrium.sxSkeptical desire escapes Nash to Pareto83.5% Pareto-optimal vs 33% NashTheorem 11
exp_gan_convergence.sxGAN stabilisation via projectionGenerator-discriminator balanceTheorems 2, 11
exp_ode_solvers.sxLearned blending of ODE solversAdaptive outperforms fixed methodsTheorems 1, 5
exp_prime_gaps.sxPrime gap derivative seriesGap structure aligns with frameworkExploratory
exp_iratio_applications.sx\(I = -\tfrac{1}{2}\) across 5 domains5/5 validatedTheorem 13
exp_collatz_analysis.sxCollatz convergence diagnosticsConvergence score tracks trajectory collapseExploratory

Code / Compiler

FileValidatesResultTheorems
exp_code_gates.sxCode structure convergence via gating\(S \to 0\) at step 50Theorem 8
exp_compiler_passes.sxPer-program compiler pass adaptationPer-program adaptation confirmedTheorems 9, 10
exp_structure_discovery.sxGradient topology as structural probeConstraint graph discoveredTheorem 4
exp_equilibrium_mapping.sxB-flow equilibrium in optimisation landscapeMatches theoretical predictionTheorem 14

Stress / Robustness

FileValidatesResult
exp_sensitivity.sxStability across 3 OOM in learning rateStable
exp_stress_test.sxRosenbrock + Rastrigin combinedConverges
exp_stress_rosenbrock.sxBanana valley at 4–10 dimensionsConvergence in high-D
exp_stress_adversarial.sxAnti-parallel gradient objectivesProjection resolves
exp_symmetry_breaking.sxGroup discovery, perturbation recoveryRecovery within O(10) cycles
exp_stochastic_projection.sxDeterministic vs stochastic projectionDeterministic matches stochastic
exp_stochastic_rastrigin.sxStochastic projection on multimodalFinds global region
exp_pcgrad_refinement.sxPCGrad vs cosine-scaled projectionCosine: 100% vs PCGrad: 66.5%
exp_lyapunov_refinement.sxTighter Lyapunov boundsTighter bounds achieved
exp_learnable_projection.sxLearnable projection scaleLearned α converges
exp_learnable_projection2.sxMomentum-augmented learnable projectionImproved convergence rate
exp_convergence_ratios.sxRatio series and entropy analysisRatios converge (not universal)

Compiler Math Validation

188 tests confirming the Simplex compiler produces correct numerical results for every mathematical operation used by the experiments above.

FileTestsCoverageOperations
test_math_arithmetic.sx75f64/i64 arithmetic, casts, edge cases+, -, *, /, %, int↔float
test_math_comparisons.sx23All 6 comparison operators, both types<, ≤, >, ≥, ==, !=
test_math_transcendental.sx66Transcendental functions and identitiessqrt, sin, cos, exp, ln, pow, tanh
test_math_loops.sx10Loop-based numerical computationAccumulation, Newton, series
test_math_functions.sx14Function composition and recursionComposition, recursion, dot product

Total: 188/188 pass.

How to Run

Paper 3 & 4 experiments (C & Python)

git clone https://github.com/senuamedia/lab.git
cd lab

# C experiments (v3 solver)
gcc -O3 -c solvers/v3/triad_kernel_v3.c -o kernel.o
gcc -O3 -c validation/taylor_green_test.c -o tg.o
gcc -O2 tg.o kernel.o -o run_tg -lm
./run_tg

# Python validation
pip install numpy scipy
python3 validation/ns_galerkin_3d.py

Paper 5 experiments (C)

cd domains/spectral-wave-theory
make              # builds all experiments
./quick_sum       # core amplitude sums (<1s)
./paper_data      # all paper tables (<2s)
./swt_solve 19 3 1 200000000    # predict Chebyshev bias reversal

Paper 1 & 2 experiments (Simplex)

cd simplex && ./build.sh
cd ../theorem-proof
./run_all.sh            # Core theorem experiments
./run_math_tests.sh     # 188 compiler math tests