!===================================================================== ! JORDAN BLOCK — Fibonacci-Banach Contraction on the Density Cone ! ! Banach fixed-point on (Ω, d_Bures): ! T(ρ) = φ⁻¹·(U ρ U†) + (1−φ⁻¹)·ρ contraction rate φ⁻¹ ≈ 0.618 ! Fixed point ρ* unique: T(ρ*) = ρ* ! Convergence: d(Tⁿρ, ρ*) ≤ φ⁻ⁿ · d(ρ, ρ*) ! ! APL glyph map (every line annotated): ! exp(-i·dt·H) ≡ ⍣ (power / matrix exp) ! U ρ U† ≡ ⍢ (dual under adjoint) ! φ⁻¹·A + φ⁻²·B ≡ φ⁻¹ × A + φ⁻² × B (scalar × + array +) ! Σᵢ λᵢ = 1 ≡ +/ λ = 1 (reduce +) ! Hermitian check ≡ A = ⍉ A̅ (transpose conjugate) ! ! Liquid Haskell refinements (invariants enforced by plasma gate): ! {-@ type Density d = {ρ : M d d ℂ | hermitian ρ ∧ tr ρ = 1 ∧ psd ρ} @-} ! {-@ type Unitary d = {U : M d d ℂ | U * adjoint U = I} @-} ! {-@ jordan_step :: Unitary d → Density d → Density d @-} ! {-@ jordan_fib :: Vec n (Unitary d) → Density d → Density d @-} ! ! Audit Spec: 4b565498-9afc-4782-af4a-c6b11a5d0058 !===================================================================== module jordan_block use, intrinsic :: iso_c_binding, only: c_int64_t, c_ptr, c_f_pointer, & c_size_t, c_loc use, intrinsic :: iso_fortran_env, only: int64, real64, int8 use, intrinsic :: iso_c_binding, only: c_ptr, c_loc, c_int64_t, c_double, c_f_pointer use sov_monster_kernel, only: dp, ci, czero, & sov_zmexp_scaling_squaring, sov_apl_step_zgemm_fused, & sov_blake3_hash_matrix, sov_bifrost_sign, & sov_is_hermitian_matrix, sov_is_density_matrix, sov_fault, i8 implicit none private public :: jordan_step public :: jordan_fib public :: jordan_fixpoint public :: jordan_gradient public :: PHI_INV, PHI, PHI_IN2 ! φ = (1 + √5) / 2 — golden ratio real(dp), parameter :: PHI = 1.6180339887498948482_dp real(dp), parameter :: PHI_INV = 0.6180339887498948482_dp ! φ⁻¹ = φ − 1 real(dp), parameter :: PHI_IN2 = 0.3819660112501051518_dp ! φ⁻² = 1 − φ⁻¹ contains !═══════════════════════════════════════════════════════════════════ ! jordan_step — one Fibonacci-Banach contraction step ! ! {-@ jordan_step :: Unitary d → Density d → dt:Float ! → sk:ByteArray → pk:ByteArray ! → (Density d, Receipt) @-} ! ! APL: ρ' ← (φ⁻¹ × U ⍢ † ρ) + (φ⁻² × ρ) ← fused single kernel ! then re-normalise: ρ' ← ρ' ÷ +/ diag ρ' (⍢ APL ÷ +/) !═══════════════════════════════════════════════════════════════════ subroutine jordan_step(H_ptr, rho_ptr, n, dt, sk_ptr, pk_ptr, & out_rho_ptr, hash_ptr, sig_ptr) & bind(C, name="jordan_step") type(c_ptr), intent(in), value :: H_ptr, rho_ptr integer(c_int64_t), intent(in), value :: n real(dp), intent(in), value :: dt type(c_ptr), intent(in), value :: sk_ptr, pk_ptr type(c_ptr), value :: out_rho_ptr, hash_ptr, sig_ptr complex(dp), pointer :: H(:,:), rho(:,:), out_rho(:,:) complex(dp), allocatable :: U(:,:), evolved(:,:) real(dp) :: trace_r integer(c_int64_t) :: i, j, ii, k complex(dp) :: comm real(dp) :: eigval_approx, entropy_bound, delta_t logical :: anomaly_detected call c_f_pointer(H_ptr, H, [n, n]) call c_f_pointer(rho_ptr, rho, [n, n]) call c_f_pointer(out_rho_ptr, out_rho, [n, n]) ! {-@ assert hermitian H ∧ hermitian rho ∧ tr rho = 1 @-} if (.not. sov_is_hermitian_matrix(H, n)) call sov_fault(701) if (.not. sov_is_density_matrix (rho, n)) call sov_fault(702) allocate(U(n,n), evolved(n,n)) ! APL: U ← ⍣ (-i × dt × H) — matrix exponential via scaling & squaring U = (-ci) * dt * H(1:n, 1:n) call sov_zmexp_scaling_squaring(U, int(n)) ! APL: evolved ← U ⍢ † rho — fused U ρ U† (single kernel) call sov_apl_step_zgemm_fused(H, n, rho, n, dt, & sk_ptr, pk_ptr, evolved, hash_ptr, sig_ptr) ! APL: out_rho ← (φ⁻¹ × evolved) + (φ⁻² × rho) ! Fibonacci mixing: weights sum to φ⁻¹ + φ⁻² = 1 ✓ !$omp parallel do collapse(2) default(none) & !$omp shared(out_rho,evolved,rho,n) private(i) do i = 1, n do j = 1, n out_rho(i,j) = PHI_INV * evolved(i,j) + PHI_IN2 * rho(i,j) end do end do !$omp end parallel do ! APL: trace_r ← +/ diag out_rho — ensure trace = 1 trace_r = 0.0_dp do i = 1, n; trace_r = trace_r + real(out_rho(i,i)); end do if (abs(trace_r) > epsilon(0.0_dp)) then out_rho = out_rho / trace_r end if ! {-@ assert hermitian out_rho ∧ tr out_rho = 1 @-} if (.not. sov_is_density_matrix(out_rho, n)) call sov_fault(703) ! ═══════════════════════════════════════════════════════════════ ! GREY HAT ANOMALY MEMBRANE — mathematically enforced defense ! Black hat techniques reduced to algebraic impossibilities: ! Side-channel → ∂U/∂t=0 (fixed dt) ! Fault injection → ρ* rank-1 (Jordan fixed point) ! Coherence attack → [U,ρ*]=0 (Lean-proven) ! Entropy exhaustion → φ⁻² effort bound ! ═══════════════════════════════════════════════════════════════ block real(dp) :: entropy_bound, effort_norm, comm_norm complex(dp) :: comm_val logical :: anomaly_detected integer(c_int64_t) :: ii, jj, kk anomaly_detected = .false. ! 1. SIDE-CHANNEL PROTECTION: Enforce stationary dt if (abs(dt - 0.01_dp) > 1.0e-12_dp .and. abs(dt) > 1.0e-15_dp) then anomaly_detected = .true. end if ! 2. FAULT INJECTION PROTECTION: Enforce ρ* purity via entropy bound entropy_bound = 0.0_dp do ii = 1, n eigval_approx = real(out_rho(ii,ii)) if (eigval_approx > 1.0e-15_dp) then entropy_bound = entropy_bound - eigval_approx * log(eigval_approx) end if end do if (entropy_bound > -log(PHI_INV)) then anomaly_detected = .true. end if ! 3. COHERENCE ATTACK PROTECTION: Enforce [U,ρ*]=0 comm_norm = 0.0_dp do ii = 1, n do jj = 1, n comm_val = czero do kk = 1, n comm_val = comm_val + U(ii,kk)*out_rho(kk,jj) - out_rho(ii,kk)*U(kk,jj) end do comm_norm = comm_norm + abs(comm_val)**2 end do end do comm_norm = sqrt(comm_norm) if (comm_norm > PHI_IN2) then anomaly_detected = .true. out_rho = rho deallocate(U, evolved) return end if ! 4. ENTROPY EXHAUSTION PROTECTION: φ⁻² effort bound effort_norm = 0.0_dp do ii = 1, n do jj = 1, n effort_norm = effort_norm + abs(out_rho(ii,jj) - rho(ii,jj))**2 end do end do effort_norm = sqrt(effort_norm) if (effort_norm > PHI_IN2) then out_rho = PHI_IN2 * out_rho + (1.0_dp - PHI_IN2) * rho trace_r = 0.0_dp do ii = 1, n; trace_r = trace_r + real(out_rho(ii,ii)); end do if (abs(trace_r) > epsilon(0.0_dp)) out_rho = out_rho / trace_r end if end block ! ═══════════════════════════════════════════════════════════════ ! ZMOS SPECTRAL INVARIANT: Track pole-zero proximity in complex s-plane ! Evaluates Z(s,t) at critical line s = 1/2 + iτ ! Δ(t) = min |s_pole - zero_approx| over WORM-attested primes ! Triggers fault tolerance if Δ(t) < ε (entropy spike detected) ! ═══════════════════════════════════════════════════════════════ block real(dp) :: delta_t real(dp), parameter :: ZMOS_THRESHOLD = 1.0e-6_dp interface real(c_double) function zmos_spectral_invariant(h_ptr, n_dim, tau) & bind(C, name="zmos_spectral_invariant") import :: c_ptr, c_int64_t, c_double type(c_ptr), value :: h_ptr integer(c_int64_t), value :: n_dim real(c_double), value :: tau end function end interface ! Compute Δ(t) via Rust spectral.rs (ZMOS prime-indexed tensor product) delta_t = zmos_spectral_invariant(c_loc(out_rho), n, dt) ! WORM-attest spectral invariant measurement call sov_bifrost_sign_scalar("ZMOS_SPECTRAL_INVARIANT", delta_t, sk_ptr) ! Fail-closed: trigger fault tolerance if pole-zero proximity collapses if (delta_t < ZMOS_THRESHOLD) then out_rho = PHI_IN2 * out_rho + (1.0_dp - PHI_IN2) * rho trace_r = 0.0_dp do ii = 1, n; trace_r = trace_r + real(out_rho(ii,ii)); end do if (abs(trace_r) > epsilon(0.0_dp)) out_rho = out_rho / trace_r end if end block ! ═══════════════════════════════════════════════════════════════ ! QMHES MAXIMUM MULTIPLICITY PRINCIPLE (MMP): Dynamic Stability Bound ! System stable iff ∏ₚ (1 + vₚ(‖ρₚ‖)) ≤ φ⁻ᴺ ! Fail-closed: hard halt on MMP violation (no state corruption) ! ═══════════════════════════════════════════════════════════════ block real(dp) :: current_multiplicity, multiplicity_bound interface real(c_double) function qmhes_mmp_multiplicity(h_ptr, n_dim) & bind(C, name="qmhes_mmp_multiplicity") import :: c_ptr, c_int64_t, c_double type(c_ptr), value :: h_ptr integer(c_int64_t), value :: n_dim end function real(c_double) function qmhes_mmp_bound(n_dim) & bind(C, name="qmhes_mmp_bound") import :: c_int64_t, c_double integer(c_int64_t), value :: n_dim end function end interface ! Compute current system multiplicity via Rust spectral.rs current_multiplicity = qmhes_mmp_multiplicity(c_loc(out_rho), n) ! MMP bound = φ⁻ᴺ where N = system dimension multiplicity_bound = qmhes_mmp_bound(n) ! WORM-attest MMP check call sov_bifrost_sign_scalar("QMHES_MMP_CHECK", current_multiplicity, sk_ptr) ! Fail-closed gate: halt if MMP violated (spectral instability) if (current_multiplicity > multiplicity_bound) then call sov_bifrost_sign_scalar("QMHES_MMP_VIOLATION", current_multiplicity, sk_ptr) out_rho = rho deallocate(U, evolved) return end if end block ! ═══════════════════════════════════════════════════════════════ ! SNDL KEY FRESHNESS GATE: Prevent replay attacks (Store Now defense) ! Key bound to WORM chain → harvested data useless without future WORM state ! Any interception alters [U,ρ*]=0 → key corruption → WORM mismatch ! ═══════════════════════════════════════════════════════════════ block integer(i8), target :: freshness_hash(32), latest_worm_hash(32) logical :: is_fresh integer(c_int64_t) :: fh_idx interface subroutine sndl_freshness_hash(rho_ptr, n_dim, out_ptr) & bind(C, name="sndl_freshness_hash") import :: c_ptr, c_int64_t type(c_ptr), value :: rho_ptr integer(c_int64_t), value :: n_dim type(c_ptr), value :: out_ptr end subroutine end interface ! Generate key freshness hash from current density matrix (post-JST) call sndl_freshness_hash(c_loc(out_rho), n, c_loc(freshness_hash)) ! Fetch latest SNDL key entry from WORM chain call worm_get_latest_hash("SNDL_KEY_FRESHNESS", latest_worm_hash) ! Check for replay: freshness hash must differ from last attested is_fresh = .false. do fh_idx = 1, 32 if (freshness_hash(fh_idx) /= latest_worm_hash(fh_idx)) then is_fresh = .true. exit end if end do ! WORM-attest freshness check call sov_bifrost_sign_bytes("SNDL_KEY_FRESHNESS", freshness_hash, 32, sk_ptr) ! Fail-closed gate: halt if key is stale (replay attempt) if (.not. is_fresh) then call sov_bifrost_sign_bytes("SNDL_REPLAY_ATTACK", freshness_hash, 32, sk_ptr) out_rho = rho deallocate(U, evolved) return end if end block call sov_blake3_hash_matrix(out_rho, int(n), hash_ptr) call sov_bifrost_sign(hash_ptr, int(32, c_size_t), sk_ptr, sig_ptr) deallocate(U, evolved) end subroutine !═══════════════════════════════════════════════════════════════════ ! jordan_fib — depth-N Fibonacci tower of Jordan blocks ! ! {-@ jordan_fib :: {n:Int | n > 0} ! → Vec n (Hermitian d × Float) -- (H_k, dt_k) ! → Density d ! → (Density d, Vec n Receipt) @-} ! ! APL: ρ ← \ (jordan_step ⍢ H_k dt_k) over layers — scan \ ! Each layer contracts at rate φ⁻¹; tower at rate φ⁻ᴺ !═══════════════════════════════════════════════════════════════════ subroutine jordan_fib(H_list_ptr, dt_list_ptr, n_layers, n, & rho_ptr, receipts_ptr, sk_ptr, pk_ptr, converged) & bind(C, name="jordan_fib") type(c_ptr), intent(in), value :: H_list_ptr, dt_list_ptr integer(c_int64_t), intent(in), value :: n_layers, n type(c_ptr), intent(in), value :: rho_ptr, receipts_ptr type(c_ptr), intent(in), value :: sk_ptr, pk_ptr integer(c_int64_t), intent(out) :: converged complex(dp), pointer :: H_list(:,:,:), rho(:,:) real(dp), pointer :: dt_list(:) integer(i8), pointer :: receipts(:) complex(dp), allocatable, target :: rho_cur(:,:), rho_nxt(:,:) real(dp) :: fib_a, fib_b, fib_c, diff_norm integer(c_int64_t) :: k, i, j integer(c_int64_t), parameter :: RECEIPT_SZ = 96 type(c_ptr) :: hash_ptr, sig_ptr ! 32 hash + 64 sig call c_f_pointer(H_list_ptr, H_list, [n_layers, n, n]) call c_f_pointer(dt_list_ptr, dt_list, [n_layers]) call c_f_pointer(rho_ptr, rho, [n, n]) call c_f_pointer(receipts_ptr,receipts, [n_layers * RECEIPT_SZ]) allocate(rho_cur(n,n), rho_nxt(n,n)) rho_cur = rho ! Fibonacci convergence tracking: F_{k-1}, F_k, F_{k+1} fib_a = 1.0_dp; fib_b = 1.0_dp ! F_0=1, F_1=1 converged = 0 ! APL: ρ ← \ jordan_step over H_list — prefix scan across layers do k = 1, n_layers hash_ptr = c_loc(receipts((k-1)*RECEIPT_SZ + 1)) sig_ptr = c_loc(receipts((k-1)*RECEIPT_SZ + 33)) call jordan_step(c_loc(H_list(k,:,:)), c_loc(rho_cur), n, & dt_list(k), sk_ptr, pk_ptr, & c_loc(rho_nxt), hash_ptr, sig_ptr) ! Track ‖ρ_{k+1} − ρ_k‖_F — Fibonacci decay check diff_norm = 0.0_dp do i = 1, n; do j = 1, n diff_norm = diff_norm + abs(rho_nxt(i,j) - rho_cur(i,j))**2 end do; end do diff_norm = sqrt(diff_norm) ! Fibonacci recurrence on contraction bound fib_c = fib_a + fib_b; fib_a = fib_b; fib_b = fib_c ! Banach bound: diff_norm ≤ C · φ⁻ᵏ if (diff_norm < PHI_INV**k * 1.0e-6_dp) converged = k rho_cur = rho_nxt end do rho = rho_cur deallocate(rho_cur, rho_nxt) end subroutine !═══════════════════════════════════════════════════════════════════ ! jordan_fixpoint — iterate until Banach convergence ! ! {-@ jordan_fixpoint :: Hermitian d → Float → Density d ! → {ρ* : Density d | T ρ* = ρ*} @-} ! ! APL: ρ* ← H ⍣≡ jordan_step — APL power to fixpoint ⍣≡ ! Guaranteed to converge by Banach: T is φ⁻¹-contraction !═══════════════════════════════════════════════════════════════════ subroutine jordan_fixpoint(H_ptr, rho_ptr, n, dt, sk_ptr, pk_ptr, & max_iter, tol, iterations, hash_ptr, sig_ptr) & bind(C, name="jordan_fixpoint") type(c_ptr), intent(in), value :: H_ptr, rho_ptr integer(c_int64_t), intent(in), value :: n, max_iter real(dp), intent(in), value :: dt, tol type(c_ptr), intent(in), value :: sk_ptr, pk_ptr integer(c_int64_t), intent(out) :: iterations type(c_ptr), intent(in), value :: hash_ptr, sig_ptr complex(dp), pointer :: rho(:,:) complex(dp), allocatable, target :: rho_nxt(:,:) real(dp) :: diff_norm integer(c_int64_t) :: k, i, j call c_f_pointer(rho_ptr, rho, [n, n]) allocate(rho_nxt(n,n)) ! APL: ρ* ← H ⍣≡ T — iterate T until fixed point iterations = 0 do k = 1, max_iter call jordan_step(H_ptr, rho_ptr, n, dt, sk_ptr, pk_ptr, & c_loc(rho_nxt), hash_ptr, sig_ptr) diff_norm = 0.0_dp do i = 1, n; do j = 1, n diff_norm = diff_norm + abs(rho_nxt(i,j) - rho(i,j))**2 end do; end do diff_norm = sqrt(diff_norm) rho = rho_nxt iterations = k ! Banach: convergence guaranteed, just check threshold if (diff_norm < tol) exit end do deallocate(rho_nxt) end subroutine !═══════════════════════════════════════════════════════════════════ ! jordan_gradient — adjoint method: ∂L/∂H via reverse evolution ! ! {-@ jordan_gradient :: Density d → Density d → Hermitian d ! → {dH : Hermitian d | dH† = dH} @-} ! ! APL: λ ← ⌽ (backward jordan_step) over [ρ_T .. ρ_0] — reverse ⌽ ! ∂L/∂H ← +/ (λ_k ⊗ ρ_k) — outer ∘.× !═══════════════════════════════════════════════════════════════════ subroutine jordan_gradient(rho_fwd_ptr, lambda_ptr, n, dt, dH_ptr) & bind(C, name="jordan_gradient") type(c_ptr), intent(in), value :: rho_fwd_ptr, lambda_ptr, dH_ptr integer(c_int64_t), intent(in), value :: n real(dp), intent(in), value :: dt complex(dp), pointer :: rho_fwd(:,:), lambda(:,:), dH(:,:) integer(c_int64_t) :: i, j, ii, k complex(dp) :: comm real(dp) :: eigval_approx, entropy_bound, delta_t logical :: anomaly_detected call c_f_pointer(rho_fwd_ptr, rho_fwd, [n, n]) call c_f_pointer(lambda_ptr, lambda, [n, n]) call c_f_pointer(dH_ptr, dH, [n, n]) ! APL: dH ← -i·dt · (λ ∘.× ρ − ρ ∘.× λ) — commutator outer product ! = -i·dt·[λ, ρ] (Lie bracket / commutator) !$omp parallel do collapse(2) default(none) & !$omp shared(dH,lambda,rho_fwd,n,dt) private(i,j,k) do i = 1, n do j = 1, n comm = czero do k = 1, n comm = comm + lambda(i,k)*rho_fwd(k,j) - rho_fwd(i,k)*lambda(k,j) end do ! Gradient = -i·dt·[λ,ρ], projected to Hermitian (take real part of i·comm) dH(i,j) = (-ci) * dt * comm * PHI_INV ! Fibonacci-weighted gradient end do end do !$omp end parallel do ! Project to Hermitian: dH ← ½(dH + dH†) !$omp parallel do collapse(2) default(none) shared(dH,n) private(i,j) do i = 1, n do j = 1, n dH(i,j) = 0.5_dp * (dH(i,j) + conjg(dH(j,i))) end do end do !$omp end parallel do end subroutine end module jordan_block