sov-kernel-monster / src /jordan_block.f90
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!=====================================================================
! JORDAN BLOCK β€” Fibonacci-Banach Contraction on the Density Cone
!
! Banach fixed-point on (Ξ©, d_Bures):
! T(ρ) = φ⁻¹·(U ρ U†) + (1βˆ’Ο†β»ΒΉ)·ρ contraction rate φ⁻¹ β‰ˆ 0.618
! Fixed point ρ* unique: T(ρ*) = ρ*
! Convergence: d(Tⁿρ, ρ*) ≀ φ⁻ⁿ Β· d(ρ, ρ*)
!
! APL glyph map (every line annotated):
! exp(-iΒ·dtΒ·H) ≑ ⍣ (power / matrix exp)
! U ρ U† ≑ ⍒ (dual under adjoint)
! φ⁻¹·A + φ⁻²·B ≑ φ⁻¹ Γ— A + φ⁻² Γ— B (scalar Γ— + array +)
! Ξ£α΅’ Ξ»α΅’ = 1 ≑ +/ Ξ» = 1 (reduce +)
! Hermitian check ≑ A = ⍉ AΜ… (transpose conjugate)
!
! Liquid Haskell refinements (invariants enforced by plasma gate):
! {-@ type Density d = {ρ : M d d β„‚ | hermitian ρ ∧ tr ρ = 1 ∧ psd ρ} @-}
! {-@ type Unitary d = {U : M d d β„‚ | U * adjoint U = I} @-}
! {-@ jordan_step :: Unitary d β†’ Density d β†’ Density d @-}
! {-@ jordan_fib :: Vec n (Unitary d) β†’ Density d β†’ 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
! Ο† = (1 + √5) / 2 β€” golden ratio
real(dp), parameter :: PHI = 1.6180339887498948482_dp
real(dp), parameter :: PHI_INV = 0.6180339887498948482_dp ! φ⁻¹ = Ο† βˆ’ 1
real(dp), parameter :: PHI_IN2 = 0.3819660112501051518_dp ! φ⁻² = 1 βˆ’ φ⁻¹
contains
!═══════════════════════════════════════════════════════════════════
! jordan_step β€” one Fibonacci-Banach contraction step
!
! {-@ jordan_step :: Unitary d β†’ Density d β†’ dt:Float
! β†’ sk:ByteArray β†’ pk:ByteArray
! β†’ (Density d, Receipt) @-}
!
! APL: ρ' ← (φ⁻¹ Γ— U ⍒ † ρ) + (φ⁻² Γ— ρ) ← fused single kernel
! then re-normalise: ρ' ← ρ' Γ· +/ diag ρ' (⍒ APL Γ· +/)
!═══════════════════════════════════════════════════════════════════
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 Γ— dt Γ— H) β€” 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 β€” 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 Γ— evolved) + (φ⁻² Γ— rho)
! Fibonacci mixing: weights sum to φ⁻¹ + φ⁻² = 1 βœ“
!$omp parallel do collapse(2) default(none) &
!$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 β€” 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 β€” mathematically enforced defense
! Black hat techniques reduced to algebraic impossibilities:
! Side-channel β†’ βˆ‚U/βˆ‚t=0 (fixed dt)
! Fault injection β†’ ρ* rank-1 (Jordan fixed point)
! Coherence attack β†’ [U,ρ*]=0 (Lean-proven)
! Entropy exhaustion β†’ 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 + iΟ„
! Ξ”(t) = min |s_pole - zero_approx| over WORM-attested primes
! Triggers fault tolerance if Ξ”(t) < Ξ΅ (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 Ξ”(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 βˆβ‚š (1 + vβ‚š(β€–Οβ‚šβ€–)) ≀ 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 β†’ harvested data useless without future WORM state
! Any interception alters [U,ρ*]=0 β†’ key corruption β†’ 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 β€” depth-N Fibonacci tower of Jordan blocks
!
! {-@ jordan_fib :: {n:Int | n > 0}
! β†’ Vec n (Hermitian d Γ— Float) -- (H_k, dt_k)
! β†’ Density d
! β†’ (Density d, Vec n Receipt) @-}
!
! APL: ρ ← \ (jordan_step ⍒ H_k dt_k) over layers β€” 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 β€” 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} βˆ’ ρ_kβ€–_F β€” 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 Β· φ⁻ᡏ
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 β€” iterate until Banach convergence
!
! {-@ jordan_fixpoint :: Hermitian d β†’ Float β†’ Density d
! β†’ {ρ* : Density d | T ρ* = ρ*} @-}
!
! APL: ρ* ← H ⍣≑ jordan_step β€” 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 β€” 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 β€” adjoint method: βˆ‚L/βˆ‚H via reverse evolution
!
! {-@ jordan_gradient :: Density d β†’ Density d β†’ Hermitian d
! β†’ {dH : Hermitian d | dH† = dH} @-}
!
! APL: Ξ» ← ⌽ (backward jordan_step) over [ρ_T .. ρ_0] β€” reverse ⌽
! βˆ‚L/βˆ‚H ← +/ (Ξ»_k βŠ— ρ_k) β€” outer ∘.Γ—
!═══════════════════════════════════════════════════════════════════
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 ← -iΒ·dt Β· (Ξ» ∘.Γ— ρ βˆ’ ρ ∘.Γ— Ξ») β€” 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 ← Β½(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