← Session 8 — Regroup + R-004 finite-height Li theorem; resources atlas ingested
thinking (3313 chars)
Still wrong! S_f(200) = −24371 (not −2.14). Hmm. But η values: η_0 = −γ ✓, η_1 ✓, stitch ratios ✓. So η_j for j ≤ 23 from Stieltjes ✓ (these ARE the same as e011's, which gave S_f(200) = −2.14 ✓). And j ≥ 24 from zeta formula. S_f(200) wrong → η_j for j ∈ [24, 199] must be wrong!
Check: the zeta cache strings are 1650 digits, computed... wait — the CACHE was built by the PREVIOUS (buggy) run? No — the cache build used flint.arb(j).zeta() — flint, trustworthy. But the cache was built in the previous session's run — via flint at full_digits = 0.31·5000+100 = 1650 digits ✓.
Hmm wait, but in the smoke test, get_zeta_strings(300) returned the cache — full_digits computed = 0.31·300+100 = 193, but the cache has 1650-digit strings. get_zeta_strings returns full_digits = 193 (computed from n_max=300, not from the cache!). Then compute_eta uses full_digits=193: nstr(eta, 193) — fine (truncates). mp.mp.dps = full_digits+50 = 243 for the η formula: ζ string parsed at 243 digits — but wait, (1−2^{−(j+1)})ζ(j+1) − 1 at dps 243: absolute error ~1e-243. η_j ~ 3^{−j}: at j=199, 3^{−199} ~ 1e-95 — fine. S_f(300) needs η accuracy ~10^{−30−90} = 1e-120 < 1e-243 ✓ fine.
Hmm, so why is S_f(200) wrong?? Let me check the η formula values against the Stieltjes ones at j = 24..30 directly. The stitch ratios looked right (−1/3). Let me print η_24 from both methods. η_24 = (−1)^{25}[(1−2^{−25})ζ(25) − 1] = −[(1−2^{−25})ζ(25)−1]. (1−2^{−25})ζ(25) − 1 = Σ_{m≥3,odd} m^{−25} ≈ 3^{−25} = 1.1810e-12·(1 + (3/5)^{25} + ...) = 3^{−25}(1 + 2.8e-6 + ...). True η_24 = −1.18023874335e-12 (from diag1 table ✓ magnitude matches).
So the formula is right... but wait — maybe the issue: η_j for j=24..199 with ζ strings at 1650 digits parsed at dps 243 — mp.mpf(zeta_str[j+1]) at dps 243 ROUNDS the string to 243 digits ✓ fine.
Hmm, is S_f's PRECISION the issue? compute_Sf(300, eta_str): full_digits = int(0.31·300)+100 = 193; inner loop dps = int(0.31n)+80: at n=300: 173 digits. Terms: C(300,j)·η_{j−1} max ~ C(300,150)·3^{−150} = 10^{89}·10^{−72} = 10^{17}: cancellation of 10^{17} terms to O(1) at 173 digits — fine.
So what's wrong?! Let me directly compare S_f(200) computed with these η vs the partial sums... Actually wait — smoke test used ns["compute_Sf"](300, eta_str) — eta_str keys 0..298 (n_zeta = 300, loop range(K_SPLIT, 300) → j ≤ 299... η up to 299 ✓; S_f(300) needs η_{j−1} for j ≤ 300 → η_299 ✓.
Hmm wait, maybe check η_24..40 against the true values from diag1 (j ≤ 60 table): η_24 = −1.18023874335e-12, η_25 = 3.93412466914e-13, etc. Let me print. Also compute S_f(200) with ONLY Stieltjes η for j ≤ 23 and zeta-η for j ≥ 24 vs the all-Stieltjes reference −2.14037668. Decompose: compute partial sum with j ≤ 23 terms only, then j ≥ 24 terms separately. If j ≤ 23 part matches e011's partial, the bug is in η_j j ≥ 24.
Actually — WAIT. I bet I know: the zeta cache! The cache was written by the PREVIOUS session's run — with `flint.arb(j).zeta().str(full_digits, radius=False)`. Was that run's flint OK? The previous run's S_∞ passed V3 (residual → −0.25 converging). So ζ strings good.
Hmm, OR: mp.mpf(v) where v is a STRING at dps 243 — mpf from string: correct. (1 − mp.mpf(2)**(−(j+1))): fine. η = (−1)**(j+1)·(...): Python int exponent on mpf ✓.
Let me just print the values and partial sums.
Still wrong — but the convention and Stieltjes η are validated, so the j≥24 zeta-formula η must be off. Let me compare directly.
tool: Bash
input
{
"command": "cd /d/Python/Quantum && ./.venv/Scripts/python.exe - <<'EOF'\nsrc = open(\"research/numerics/scripts/E-021-sinf-sf-curve.py\").read()\nsrc = src.replace('if __name__ == \"__main__\":', 'if False:')\nns = {\"__file__\": \"research/numerics/scripts/E-021-sinf-sf-curve.py\"}\nexec(compile(src, \"e21\", \"exec\"), ns)\nzeta_str, fd = ns[\"get_zeta_strings\"](300)\neta_str = ns[\"compute_eta\"](zeta_str, fd)\nimport mpmath as mp, flint\nmp.mp.dps = 100\n# ground truth: E-011 stieltjes eta to j=60 (from diag1, flint)\nflint.ctx.prec = 800\ngam = [mp.mpf(flint.acb.stieltjes(k).real.str(80, radius=False)) for k in range(62)]\nN_=[mp.mpf(0)]*62; D_=[mp.mpf(0)]*62; N_[0]=D_[0]=1\nfor m in range(0,61): D_[m+1]=(-1)**m*gam[m]/mp.factorial(m)\nfor m in range(1,61): N_[m+1]=-(-1)**m*gam[m]/mp.factorial(m-1)\nE=[mp.mpf(0)]*62\nfor k in range(0,62):\n s=N_[k]\n for i in range(1,k+1): s-=D_[i]*E[k-i]\n E[k]=s\neta_true=[E[k+1] for k in range(61)]\nprint(f\"{'j':>3} {'eta_true':>22} {'eta_new':>22} {'diff':>12}\")\nfor j in range(20, 61):\n d = abs(eta_true[j] - mp.mpf(eta_str[j]))\n flag = \" <--\" if d > 1e-40 else \"\"\n print(f\"{j:>3} {mp.nstr(eta_true[j],12):>22} {mp.nstr(mp.mpf(eta_str[j]),12):>22} {mp.nstr(d,3):>12}{flag}\")\nEOF",
"description": "Compare new eta j=24..60 vs Stieltjes truth",
"timeout": 300000
}
raw content_json (database row)
[{"type":"thinking","thinking":"Still wrong! S_f(200) = −24371 (not −2.14). Hmm. But η values: η_0 = −γ ✓, η_1 ✓, stitch ratios ✓. So η_j for j ≤ 23 from Stieltjes ✓ (these ARE the same as e011's, which gave S_f(200) = −2.14 ✓). And j ≥ 24 from zeta formula. S_f(200) wrong → η_j for j ∈ [24, 199] must be wrong!\n\nCheck: the zeta cache strings are 1650 digits, computed... wait — the CACHE was built by the PREVIOUS (buggy) run? No — the cache build used flint.arb(j).zeta() — flint, trustworthy. But the cache was built in the previous session's run — via flint at full_digits = 0.31·5000+100 = 1650 digits ✓.\n\nHmm wait, but in the smoke test, get_zeta_strings(300) returned the cache — full_digits computed = 0.31·300+100 = 193, but the cache has 1650-digit strings. get_zeta_strings returns full_digits = 193 (computed from n_max=300, not from the cache!). Then compute_eta uses full_digits=193: nstr(eta, 193) — fine (truncates). mp.mp.dps = full_digits+50 = 243 for the η formula: ζ string parsed at 243 digits — but wait, (1−2^{−(j+1)})ζ(j+1) − 1 at dps 243: absolute error ~1e-243. η_j ~ 3^{−j}: at j=199, 3^{−199} ~ 1e-95 — fine. S_f(300) needs η accuracy ~10^{−30−90} = 1e-120 < 1e-243 ✓ fine.\n\nHmm, so why is S_f(200) wrong?? Let me check the η formula values against the Stieltjes ones at j = 24..30 directly. The stitch ratios looked right (−1/3). Let me print η_24 from both methods. η_24 = (−1)^{25}[(1−2^{−25})ζ(25) − 1] = −[(1−2^{−25})ζ(25)−1]. (1−2^{−25})ζ(25) − 1 = Σ_{m≥3,odd} m^{−25} ≈ 3^{−25} = 1.1810e-12·(1 + (3/5)^{25} + ...) = 3^{−25}(1 + 2.8e-6 + ...). True η_24 = −1.18023874335e-12 (from diag1 table ✓ magnitude matches).\n\nSo the formula is right... but wait — maybe the issue: η_j for j=24..199 with ζ strings at 1650 digits parsed at dps 243 — mp.mpf(zeta_str[j+1]) at dps 243 ROUNDS the string to 243 digits ✓ fine.\n\nHmm, is S_f's PRECISION the issue? compute_Sf(300, eta_str): full_digits = int(0.31·300)+100 = 193; inner loop dps = int(0.31n)+80: at n=300: 173 digits. Terms: C(300,j)·η_{j−1} max ~ C(300,150)·3^{−150} = 10^{89}·10^{−72} = 10^{17}: cancellation of 10^{17} terms to O(1) at 173 digits — fine.\n\nSo what's wrong?! Let me directly compare S_f(200) computed with these η vs the partial sums... Actually wait — smoke test used ns[\"compute_Sf\"](300, eta_str) — eta_str keys 0..298 (n_zeta = 300, loop range(K_SPLIT, 300) → j ≤ 299... η up to 299 ✓; S_f(300) needs η_{j−1} for j ≤ 300 → η_299 ✓.\n\nHmm wait, maybe check η_24..40 against the true values from diag1 (j ≤ 60 table): η_24 = −1.18023874335e-12, η_25 = 3.93412466914e-13, etc. Let me print. Also compute S_f(200) with ONLY Stieltjes η for j ≤ 23 and zeta-η for j ≥ 24 vs the all-Stieltjes reference −2.14037668. Decompose: compute partial sum with j ≤ 23 terms only, then j ≥ 24 terms separately. If j ≤ 23 part matches e011's partial, the bug is in η_j j ≥ 24.\n\nActually — WAIT. I bet I know: the zeta cache! The cache was written by the PREVIOUS session's run — with `flint.arb(j).zeta().str(full_digits, radius=False)`. Was that run's flint OK? The previous run's S_∞ passed V3 (residual → −0.25 converging). So ζ strings good.\n\nHmm, OR: mp.mpf(v) where v is a STRING at dps 243 — mpf from string: correct. (1 − mp.mpf(2)**(−(j+1))): fine. η = (−1)**(j+1)·(...): Python int exponent on mpf ✓.\n\nLet me just print the values and partial sums.","signature":""},{"type":"text","text":"Still wrong — but the convention and Stieltjes η are validated, so the j≥24 zeta-formula η must be off. Let me compare directly."},{"type":"tool_use","id":"Bash_45","name":"Bash","input":{"command":"cd /d/Python/Quantum && ./.venv/Scripts/python.exe - <<'EOF'\nsrc = open(\"research/numerics/scripts/E-021-sinf-sf-curve.py\").read()\nsrc = src.replace('if __name__ == \"__main__\":', 'if False:')\nns = {\"__file__\": \"research/numerics/scripts/E-021-sinf-sf-curve.py\"}\nexec(compile(src, \"e21\", \"exec\"), ns)\nzeta_str, fd = ns[\"get_zeta_strings\"](300)\neta_str = ns[\"compute_eta\"](zeta_str, fd)\nimport mpmath as mp, flint\nmp.mp.dps = 100\n# ground truth: E-011 stieltjes eta to j=60 (from diag1, flint)\nflint.ctx.prec = 800\ngam = [mp.mpf(flint.acb.stieltjes(k).real.str(80, radius=False)) for k in range(62)]\nN_=[mp.mpf(0)]*62; D_=[mp.mpf(0)]*62; N_[0]=D_[0]=1\nfor m in range(0,61): D_[m+1]=(-1)**m*gam[m]/mp.factorial(m)\nfor m in range(1,61): N_[m+1]=-(-1)**m*gam[m]/mp.factorial(m-1)\nE=[mp.mpf(0)]*62\nfor k in range(0,62):\n s=N_[k]\n for i in range(1,k+1): s-=D_[i]*E[k-i]\n E[k]=s\neta_true=[E[k+1] for k in range(61)]\nprint(f\"{'j':>3} {'eta_true':>22} {'eta_new':>22} {'diff':>12}\")\nfor j in range(20, 61):\n d = abs(eta_true[j] - mp.mpf(eta_str[j]))\n flag = \" <--\" if d > 1e-40 else \"\"\n print(f\"{j:>3} {mp.nstr(eta_true[j],12):>22} {mp.nstr(mp.mpf(eta_str[j]),12):>22} {mp.nstr(d,3):>12}{flag}\")\nEOF","description":"Compare new eta j=24..60 vs Stieltjes truth","timeout":300000},"extra_content":null}]