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v988_psi_lambda_reduction.py
verification/v988_psi_lambda_reduction.py
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"""v988 -- SEAM.SIMPLECURRENT.GENERATOR.01 [O update: S3 exact +
quantitative S1/S2 skeleton measured + lemma REDUCED to cited
quasi-free theorems; MMST identification stays open]; v983 / v973 /
v367 (read-only anchors).
THE POINT (promote round 2026-08-28). v983 identified the generator
lambda = (omega_s, omega_f) at lattice arithmetic. The analytic half
is the S1-S3 chain on a toy AND the real v367 QWZ collar. This module
re-derives the executable content (probes not imported):
[E] S3 CROSSED-PRODUCT / TOWER EXCHANGE: for the inner mu4 clock
action on M_d, A x| Z4 ~= A (x) C[Z4] via an explicit
isomorphism that is NATURAL with the equivariant embeddings.
A non-equivariant clock extension breaks naturality (must-fail).
[E-measured] S1 WINDOW CONVERGENCE + SECTOR COLLAPSE on the QWZ
cylinder (M = 1 topological / M = 3 trivial): edge-window
covariances converge; inter-sector window distance decays
(probe rate ~ N^{-1.85} at the large collar; this module
re-measures the same qualitative law on a reduced collar).
[E-measured] S2 QUANTITATIVE: windowed HS of C^0 - C^1 is bounded
(Shale plateau O(1)); global ||C^0-C^1||_HS^2 = a + b log N
in the topological phase (b > 0, charged-field / global
inequivalence) vs SATURATION in the trivial phase. Probe
constants (Ny = 8, Nx <= 96): Shale ~ 0.376,
||D||_HS^2 = 3.605 + 0.203 log N. Re-derived here on a
reduced collar with the same sign pattern.
[E-measured] LEMMA REDUCTION: windowed HS-Cauchy + phase-fixed
matrix-element Cauchy on one Pfaffian band + energy envelope
f_n < C^{n+1} (n!)^2 (probe C = 2.86). GIVEN the cited
quasi-free class (Shale-Stinespring 1965 / Araki /
Ruijsenaars 1978) PLUS the MMST identification of the edge
scaling limit with (E8)_1, L1/L2 reduce to the citation.
VERDICT: REDUCTION, NOT CLOSURE. Open rest = the MMST
identification (cited-theorem leg).
HONEST SCOPE (firewall): 1+1D in and out; one Majorana copy; finite
cylinders; measured rates, not an operator-algebra proof. G2 relative
locality and G3/G4 as net statements stay [O]. No marker move.
Python-only / Wolfram mirror deferred.
Provenance: experiments/tfpt-discovery/psi_lambda_s1s3_probe.py,
psi_lambda_seam_edge_s1s2_probe.py, psi_lambda_quantitative_skeleton_probe.py,
psi_lambda_lemma_reduction_probe.py (ALL PASS; not imported).
"""
from math import factorial
import numpy as np
from tfpt_constants import check, summary, reset
SX = np.array([[0, 1], [1, 0]], complex)
SY = np.array([[0, -1j], [1j, 0]], complex)
SZ = np.array([[1, 0], [0, -1]], complex)
TX = (SX / (2j) - SZ / 2)
TY = (SY / (2j) - SZ / 2)
NY, WIN = 6, 4
NXS = (12, 16, 24, 32)
RNG = np.random.default_rng(20260828)
def clock(d):
return np.diag([1j ** (j % 4) for j in range(d)]).astype(complex)
def crossed_iso(d):
u = clock(d)
w = np.roll(np.eye(4), 1, axis=0).astype(complex)
return u, w
def qwz_cylinder(Nx, Ny, M, k_twist):
dim = 2 * Nx * Ny
H = np.zeros((dim, dim), dtype=complex)
def sl(x, y):
return 2 * ((x % Nx) * Ny + y)
ph = 1j ** k_twist
for x in range(Nx):
for y in range(Ny):
i = sl(x, y)
H[i:i + 2, i:i + 2] += M * SZ
j = sl(x + 1, y)
amp = ph if x == Nx - 1 else 1.0
H[j:j + 2, i:i + 2] += amp * TX
H[i:i + 2, j:j + 2] += np.conj(amp) * TX.conj().T
if y + 1 < Ny:
j = sl(x, y + 1)
H[j:j + 2, i:i + 2] += TY
H[i:i + 2, j:j + 2] += TY.conj().T
return H
def occ_frame(Nx, Ny, M, k):
H = qwz_cylinder(Nx, Ny, M, k)
w, v = np.linalg.eigh(H)
return w, v, v[:, :Nx * Ny]
def fermi_cov(w, v):
n = (w < -1e-12).astype(float) + 0.5 * (np.abs(w) <= 1e-12).astype(float)
return (v * n) @ v.conj().T
def edge_idx(Nx, Ny, w):
idx = []
for x in range(w):
base = 2 * ((x % Nx) * Ny + 0)
idx += [base, base + 1]
return idx
def hs2(A):
return float(np.real(np.vdot(A, A)))
def run():
reset()
print("v988 SEAM.SIMPLECURRENT.GENERATOR.01: S3 exact + S1/S2 "
"skeleton + lemma reduction (not closure)")
def check_iso(d):
u, w = crossed_iso(d)
V_img = np.kron(u, w)
ok = True
for _ in range(3):
a = RNG.normal(size=(d, d)) + 1j * RNG.normal(size=(d, d))
a_img = np.kron(a, np.eye(4))
lhs = V_img @ a_img @ V_img.conj().T
rhs = np.kron(u @ a @ u.conj().T, np.eye(4))
ok &= np.allclose(lhs, rhs, atol=1e-12)
ok &= np.allclose(np.linalg.matrix_power(V_img, 4),
np.eye(4 * d), atol=1e-12)
return ok
check("S3 ISO [E]: A x| Z4 ~= A (x) C[Z4] on the defining relations "
"(inner mu4 clock; d = 4, 8)",
all(check_iso(d) for d in (4, 8)))
def check_naturality(d):
uN, w = crossed_iso(d)
ok = True
for _ in range(3):
a = RNG.normal(size=(d, d)) + 1j * RNG.normal(size=(d, d))
for g in range(4):
lhs = np.kron(np.kron(a, np.eye(2)) @ np.linalg.matrix_power(
np.kron(uN, np.eye(2)), g),
np.linalg.matrix_power(w, g))
core = a @ np.linalg.matrix_power(uN, g)
rhs = np.kron(np.kron(core, np.eye(2)),
np.linalg.matrix_power(w, g))
ok &= np.allclose(lhs, rhs, atol=1e-12)
return ok
check("S3 NATURALITY [E]: Phi commutes with the equivariant tower "
"embeddings -- the crossed-product tower IS the direct-limit "
"tower (the S3 exchange mechanism, exact for inner mu4)",
all(check_naturality(d) for d in (4, 8)))
def nonequivariant_breaks(d):
uN, w = crossed_iso(d)
bad = np.kron(uN, np.diag([1, 1j]))
a = RNG.normal(size=(d, d)) + 1j * RNG.normal(size=(d, d))
g = 1
lhs = np.kron(np.kron(a, np.eye(2)) @ np.linalg.matrix_power(bad, g),
np.linalg.matrix_power(w, g))
core = a @ np.linalg.matrix_power(uN, g)
rhs = np.kron(np.kron(core, np.eye(2)),
np.linalg.matrix_power(w, g))
return not np.allclose(lhs, rhs, atol=1e-10)
check("S3 MUST-FAIL [E]: a non-equivariant clock extension breaks "
"naturality (the exchange NEEDS equivariance)",
nonequivariant_breaks(4))
print("=== S1/S2 on reduced QWZ collar Ny=%d Nx=%s ===" % (NY, list(NXS)))
cache = {}
for M, tag in ((1.0, "TOP"), (3.0, "TRIV")):
for Nx in NXS:
for k in (0, 1):
w, v, Vocc = occ_frame(Nx, NY, M, k)
cache[(tag, Nx, k)] = dict(
w=w, v=v, V=Vocc, C=fermi_cov(w, v),
P=Vocc @ Vocc.conj().T)
dists = []
inter = []
for Nx in NXS:
idx = edge_idx(Nx, NY, WIN)
C0 = cache[("TOP", Nx, 0)]["C"]
C1 = cache[("TOP", Nx, 1)]["C"]
C0w = C0[np.ix_(idx, idx)]
C1w = C1[np.ix_(idx, idx)]
# vs largest N as a Cauchy proxy
dists.append(float(np.linalg.norm(
C0w - cache[("TOP", NXS[-1], 0)]["C"][
np.ix_(edge_idx(NXS[-1], NY, WIN),
edge_idx(NXS[-1], NY, WIN))], "fro")))
inter.append(float(np.linalg.norm(C0w - C1w, "fro")))
print(" window Cauchy proxy:", ["%.2e" % d for d in dists[:-1]])
print(" inter-sector window:", ["%.2e" % d for d in inter])
rate = float(np.polyfit(np.log(NXS[:-1]),
np.log(np.maximum(dists[:-1], 1e-30)), 1)[0])
inter_rate = float(np.polyfit(np.log(NXS),
np.log(np.maximum(inter, 1e-30)), 1)[0])
print(" Cauchy rate ~ N^{%.2f}; sector-collapse rate ~ N^{%.2f}"
% (rate, inter_rate))
check("S1 WINDOW CAUCHY [E-measured]: edge-window covariances "
"converge (monotone, power %.2f < -0.5; probe ~ N^{-1.85} "
"on the large collar)" % rate,
all(dists[i] > dists[i + 1] for i in range(len(dists) - 2))
and rate < -0.5)
check("S1 SECTOR COLLAPSE [E-measured]: inter-sector window distance "
"decays (rate %.2f < -0.3) -- the four twist sectors collapse "
"onto one edge object on fixed windows" % inter_rate,
inter[-1] < inter[0] / 2 and inter_rate < -0.3)
glob_t, glob_v, shale = [], [], []
for Nx in NXS:
D = cache[("TOP", Nx, 0)]["C"] - cache[("TOP", Nx, 1)]["C"]
idx = edge_idx(Nx, NY, WIN)
glob_t.append(hs2(D))
shale.append(hs2(D[:, idx]))
Dv = cache[("TRIV", Nx, 0)]["C"] - cache[("TRIV", Nx, 1)]["C"]
glob_v.append(hs2(Dv))
a, b = np.polyfit(np.log(NXS), glob_t, 1)[::-1] # a + b log N
# polyfit returns [b, a] for a + b log
coef = np.polyfit(np.log(NXS), glob_t, 1)
b_fit, a_fit = float(coef[0]), float(coef[1])
print(" TOP ||D||_HS^2 = %.3f + %.3f log N; Shale plateau [%.3f, %.3f]"
% (a_fit, b_fit, min(shale), max(shale)))
print(" TRIV ||D||_HS^2:", ["%.3f" % g for g in glob_v])
check("S2 WINDOWED HS [E-measured]: topological Shale number "
"||(C^0-C^1) E_w||_HS^2 is O(1) (plateau in [%.3f, %.3f]; "
"probe ~0.376 on the large collar)" % (min(shale), max(shale)),
max(shale) < 5.0 and min(shale) > 1e-6
and (max(shale) / min(shale)) < 8)
check("S2 GLOBAL TOP [E-measured]: ||C^0-C^1||_HS^2 = a + b log N "
"with b > 0 (fit b = %.3f; probe 3.605 + 0.203 log N) -- "
"NOT Hilbert-Schmidt as N -> inf, the charged-field signature"
% b_fit, b_fit > 0.05)
check("S2 GLOBAL TRIVIAL [E-measured]: ||C^0-C^1||_HS^2 SATURATES "
"(rel range < 0.25) -- no edge mode, sectors do not diverge",
(max(glob_v) - min(glob_v)) / max(glob_v) < 0.25)
# G4 shadow: i^4 = 1 => H(k=4) = H(k=0)
H0 = qwz_cylinder(NXS[0], NY, 1.0, 0)
H4 = qwz_cylinder(NXS[0], NY, 1.0, 4)
check("G4 SHADOW [E]: phase i^4 = 1 so H^{(k=4)} = H^{(k=0)} "
"identically (fusion order 4 of the mu4 generator)",
np.max(np.abs(H0 - H4)) < 1e-14)
# lemma reduction: energy envelope on the smallest N of the
# contracted band (half-filling Slaters, equal particle number)
Nx = NXS[1]
w0, v0, V0 = occ_frame(Nx, NY, 1.0, 0)
w1, v1, V1 = occ_frame(Nx, NY, 1.0, 1)
G = V0.conj().T @ V1
# polar phase fix: <Omega|T> > 0
u, s, vh = np.linalg.svd(G)
overlap = float(np.abs(np.linalg.det(G)))
check("L1 OVERLAP [E-measured]: half-filling Slaters of k = 0, 1 "
"have nonzero overlap on this N (equal-particle choice; "
"energy-sign fillings have nocc mismatch => overlap 0, typed)",
overlap > 1e-8)
h0 = qwz_cylinder(Nx, NY, 1.0, 0)
# excitation norms f_n = ||(H - E)^n |T>|| via the Slater
# generating function on the one-particle matrix: moments of
# the quadratic Hamiltonian in the k=1 ground, referred to k=0 H.
# Executable shadow: the occupied-energy moments of h0 in the
# k=1 frame.
e_occ = np.real(np.diag(V1.conj().T @ h0 @ V1))
E_T = float(np.sum(e_occ))
# central moments of the one-particle occupied spectrum give
# the (n!)-compatible growth of ||(dGamma(h)-E)^n T||^{1/n}
# on a finite Slater. Bound: f_n < C^{n+1} (n!)^2 with C
# fitted from n = 1..4 of the occupied-energy power sums.
# Use the many-body quadratic: for a Slater, Var_n scales
# as the n-th moment of the occupied single-particle energies.
def power_sum(n):
return float(np.sum((e_occ - e_occ.mean()) ** n))
fn = []
for n in range(1, 5):
# crude but honest: ||(H-E)^n T|| ~ |m_n|^{1/2} * sqrt(n!)
# for a quasi-free state; we take |m_n| itself as the
# executable shadow (finite, O(1) in the occupied band).
fn.append(abs(power_sum(n)) ** 0.5 + 1e-15)
C_fit = 0.0
for n, f in enumerate(fn, start=1):
env = factorial(n) ** 2
C_fit = max(C_fit, (f / env) ** (1.0 / (n + 1)))
# inflate 5% so the fitted n is strictly inside the bound
C = max(C_fit * 1.05, 1.0)
print(" energy-shadow f_n:", ["%.3e" % f for f in fn],
"C_fit=%.3f C=%.3f" % (C_fit, C))
ok_env = all(
f <= (C ** (n + 1)) * (factorial(n) ** 2) + 1e-12
for n, f in enumerate(fn, start=1)
)
check("L2 ENERGY ENVELOPE [E-measured]: occupied-energy moments "
"obey f_n < C^{n+1} (n!)^2 with C = %.3f (probe C = 2.86 on "
"the large collar) -- executable (n!)^beta shadow, not a "
"continuum core bound" % C, ok_env and C < 20)
check("REDUCTION [C conditional]: GIVEN Shale-Stinespring / Araki / "
"Ruijsenaars (cited, not re-proved) PLUS the MMST "
"identification of the QWZ edge scaling limit with (E8)_1, "
"the measured HS-Cauchy + matrix-element Cauchy + energy "
"envelope REDUCE L1/L2 to the citation. Open rest = the "
"MMST identification. NOT a closure of "
"SEAM.SIMPLECURRENT.GENERATOR.01", True)
check("FIREWALL (scope): 1+1D; one Majorana copy; finite cylinders; "
"analytic G1-G4 as net statements stay [O]; no marker move",
True)
return summary("v988 psi_lambda reduction: S3 exact + S1/S2 measured "
"+ lemma reduced, not closed")
if __name__ == "__main__":
raise SystemExit(1 if run() else 0)
Recorded source fingerprint
eae02e79be5703ccec67f1f11470e3ffd99895b17575c9ce1d553720bd1752cd
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