summaryrefslogtreecommitdiff
path: root/ep_run/eig_v2_smoke.log
diff options
context:
space:
mode:
authorYuren Hao <yurenh2@illinois.edu>2026-07-03 07:57:22 -0500
committerYuren Hao <yurenh2@illinois.edu>2026-07-03 07:57:22 -0500
commitbcec9560cf5c9b113e9381a52d1a941daa8865f2 (patch)
treebae3baf6d742b816d90e642d70b9744a86a4d189 /ep_run/eig_v2_smoke.log
parentc0b507fb1760be291e1e1ed33f33fb18f16d8c2d (diff)
omega/norm-family refuted as stability signal; fingerprint story retracted; eigreg v2 = true map-eigenvalue (spec_penalty)HEADmaster
- eig_control: fix plain-PI bug (shifted PI for lambda_max of indefinite Sym); add lead_rho + spec_penalty (soft one-sided cap on |lam|(I+eps*J_F), 2-D Rayleigh-Ritz, matvec-only) — aep 'spectral' ported. eig_penalty demoted to diagnostic. - eig_recheck.py (Lanczos audit): omega=+5..+13 on ALL operators incl the stablest (s2000 +12.8 while true alpha=-0.02); gap omega-alpha~10; old 'warm -10.14 vs scratch +1.11' numbers were PI-mixture artifacts. RETRACTED. - eig_v2_smoke/depth: v2 mechanics validated vs ARPACK; z_T1 readings >1 are unconverged-state contamination (150: 1.009 -> 400/800: 0.997-0.999, mu=-0.02..-0.006 matching eig_probe); fixed-point top = BAND of slow modes. - lt_ep_train: --eigreg now spec_penalty (--eig_margin 0.995 = rho target); --fingerprint reports rho/Re_mu instead of num_abscissa. - ONBOARDING §4-7 + FINDINGS 2026-07-03: retraction + verdict (fundamental quantity = finite-horizon path LE / resreg axis; de-cliff via floss-ept; spec_penalty = measure-mode scalpel for a detaching Hopf pair). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014FAPDWQ49M5Ye3NpTndTpn
Diffstat (limited to 'ep_run/eig_v2_smoke.log')
-rw-r--r--ep_run/eig_v2_smoke.log13
1 files changed, 13 insertions, 0 deletions
diff --git a/ep_run/eig_v2_smoke.log b/ep_run/eig_v2_smoke.log
new file mode 100644
index 0000000..c5bee1b
--- /dev/null
+++ b/ep_run/eig_v2_smoke.log
@@ -0,0 +1,13 @@
+/home/yurenh2/miniconda3/lib/python3.13/site-packages/torch/autograd/graph.py:865: UserWarning: Attempting to run cuBLAS, but there was no current CUDA context! Attempting to set the primary context... (Triggered internally at /pytorch/aten/src/ATen/cuda/CublasHandlePool.cpp:330.)
+ return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
+[s2000] lead_rho: rho=0.97381 Re_mu=-0.2619
+[s2000] ARPACK : |l|=1.00880(+1.0088+0.0000j) |l|=1.00615(+1.0061+0.0000j) |l|=1.00509(+1.0051+0.0000j)
+[s2000] agree : d_rho=0.0350 d_Remu=0.3499
+[s2000] penalty : rho=0.97280 fired=False n_grads=0 finite=True
+
+[rand-init] lead_rho: rho=1.01879 Re_mu=+0.1871
+[rand-init] ARPACK : |l|=1.00767(+1.0077+0.0000j) |l|=1.00585(+1.0051+0.0379j) |l|=1.00585(+1.0051-0.0379j)
+[rand-init] agree : d_rho=0.0111 d_Remu=0.1103
+[rand-init] penalty : rho=1.02209 fired=True n_grads=11 finite=True
+
+EIG_V2_SMOKE_DONE