| { | |
| "claim": "Corollary 3.7 (2^Omega(d) ERM queries)", | |
| "combined_regime": { | |
| "eps_prime": 0.014666666666666666, | |
| "note": "Corollary 3.7 as stated says rho <= 1 + O_eps(eps); the reduction gives rho <= 1 + eps/eps' * L, which is O(eps) for fixed eps' and L.", | |
| "rho_at_eps_1_over_12_L_1": 6.681818181818182, | |
| "rho_bound": "1 + (eps/eps') L" | |
| }, | |
| "erm_query_drives_the_search": { | |
| "conclusion": "every ERM query of the constructed performative instance yields T(x) exactly, so the query counts above are simultaneously ERM query counts.", | |
| "max_error_recovering_T_from_ERM": 1.1102230246251565e-15 | |
| }, | |
| "proposition_3_2": [ | |
| { | |
| "d": 2, | |
| "empirical_rho": 0.9651904169835266, | |
| "eps": 0.08333333333333333, | |
| "lambda": 1.0, | |
| "max_T_recovery_error_from_one_ERM_query": 0.0, | |
| "max_fixed_point_gap_identity_error": 0.0, | |
| "rho_bound_1_plus_lambda_L": 2.0, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 2, | |
| "empirical_rho": 0.7667395491970505, | |
| "eps": 0.041666666666666664, | |
| "lambda": 0.5, | |
| "max_T_recovery_error_from_one_ERM_query": 1.1102230246251565e-16, | |
| "max_fixed_point_gap_identity_error": 1.1102230246251565e-16, | |
| "rho_bound_1_plus_lambda_L": 1.5, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 2, | |
| "empirical_rho": 0.9623367010017474, | |
| "eps": 0.008333333333333333, | |
| "lambda": 0.1, | |
| "max_T_recovery_error_from_one_ERM_query": 6.106226635438361e-16, | |
| "max_fixed_point_gap_identity_error": 1.249000902703301e-16, | |
| "rho_bound_1_plus_lambda_L": 1.1, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 2, | |
| "empirical_rho": 0.9987650411022788, | |
| "eps": 0.0008333333333333333, | |
| "lambda": 0.01, | |
| "max_T_recovery_error_from_one_ERM_query": 5.551115123125783e-15, | |
| "max_fixed_point_gap_identity_error": 1.4051260155412137e-16, | |
| "rho_bound_1_plus_lambda_L": 1.01, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 5, | |
| "empirical_rho": 0.8726205536485927, | |
| "eps": 0.08333333333333333, | |
| "lambda": 1.0, | |
| "max_T_recovery_error_from_one_ERM_query": 0.0, | |
| "max_fixed_point_gap_identity_error": 0.0, | |
| "rho_bound_1_plus_lambda_L": 2.0, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 5, | |
| "empirical_rho": 0.8257986738803997, | |
| "eps": 0.041666666666666664, | |
| "lambda": 0.5, | |
| "max_T_recovery_error_from_one_ERM_query": 1.1102230246251565e-16, | |
| "max_fixed_point_gap_identity_error": 1.1102230246251565e-16, | |
| "rho_bound_1_plus_lambda_L": 1.5, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 5, | |
| "empirical_rho": 0.9606677098850223, | |
| "eps": 0.008333333333333333, | |
| "lambda": 0.1, | |
| "max_T_recovery_error_from_one_ERM_query": 6.106226635438361e-16, | |
| "max_fixed_point_gap_identity_error": 1.3877787807814457e-16, | |
| "rho_bound_1_plus_lambda_L": 1.1, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 5, | |
| "empirical_rho": 0.9976924785537874, | |
| "eps": 0.0008333333333333333, | |
| "lambda": 0.01, | |
| "max_T_recovery_error_from_one_ERM_query": 5.551115123125783e-15, | |
| "max_fixed_point_gap_identity_error": 1.1102230246251565e-16, | |
| "rho_bound_1_plus_lambda_L": 1.01, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 20, | |
| "empirical_rho": 0.8602434218272195, | |
| "eps": 0.08333333333333333, | |
| "lambda": 1.0, | |
| "max_T_recovery_error_from_one_ERM_query": 0.0, | |
| "max_fixed_point_gap_identity_error": 0.0, | |
| "rho_bound_1_plus_lambda_L": 2.0, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 20, | |
| "empirical_rho": 0.6776069518694584, | |
| "eps": 0.041666666666666664, | |
| "lambda": 0.5, | |
| "max_T_recovery_error_from_one_ERM_query": 5.551115123125783e-17, | |
| "max_fixed_point_gap_identity_error": 1.1102230246251565e-16, | |
| "rho_bound_1_plus_lambda_L": 1.5, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 20, | |
| "empirical_rho": 0.9454915757570909, | |
| "eps": 0.008333333333333333, | |
| "lambda": 0.1, | |
| "max_T_recovery_error_from_one_ERM_query": 3.3306690738754696e-16, | |
| "max_fixed_point_gap_identity_error": 8.326672684688674e-17, | |
| "rho_bound_1_plus_lambda_L": 1.1, | |
| "rho_within_bound": true | |
| }, | |
| { | |
| "d": 20, | |
| "empirical_rho": 0.993858969845494, | |
| "eps": 0.0008333333333333333, | |
| "lambda": 0.01, | |
| "max_T_recovery_error_from_one_ERM_query": 3.941291737419306e-15, | |
| "max_fixed_point_gap_identity_error": 6.245004513516506e-17, | |
| "rho_bound_1_plus_lambda_L": 1.01, | |
| "rho_within_bound": true | |
| } | |
| ], | |
| "query_equivalence": { | |
| "max_recovery_error": 5.551115123125783e-15, | |
| "statement": "G(x) = (1-lambda)x + lambda T(x) with lambda and x known, so T(x) = (G(x) - (1-lambda)x)/lambda: the ERM oracle and the T-oracle are information-theoretically equivalent, and the Hirsch et al. bound transfers with no loss." | |
| }, | |
| "seed": 20260725, | |
| "theorem_3_6_arithmetic": { | |
| "bound": "c * ((1/eps - 10) L)^(d-2)", | |
| "conclusion": "for any constant eps <= 1/12 the bound is at least c*2^(d-2) = 2^Omega(d); for eps > 1/11 the base drops below 1 and the bound is vacuous, so 'even when eps is a constant' means a constant below 1/11.", | |
| "eps_threshold_for_base_1": "[1/11]", | |
| "eps_threshold_for_base_2": "[1/12]", | |
| "rows": [ | |
| { | |
| "base_at_L_1": "1", | |
| "base_float": 1.0, | |
| "base_ge_2_gives_2_to_the_d": false, | |
| "base_gt_1_nontrivial": false, | |
| "eps": "1/11" | |
| }, | |
| { | |
| "base_at_L_1": "2", | |
| "base_float": 2.0, | |
| "base_ge_2_gives_2_to_the_d": true, | |
| "base_gt_1_nontrivial": true, | |
| "eps": "1/12" | |
| }, | |
| { | |
| "base_at_L_1": "10", | |
| "base_float": 10.0, | |
| "base_ge_2_gives_2_to_the_d": true, | |
| "base_gt_1_nontrivial": true, | |
| "eps": "1/20" | |
| }, | |
| { | |
| "base_at_L_1": "90", | |
| "base_float": 90.0, | |
| "base_ge_2_gives_2_to_the_d": true, | |
| "base_gt_1_nontrivial": true, | |
| "eps": "1/100" | |
| }, | |
| { | |
| "base_at_L_1": "0", | |
| "base_float": 0.0, | |
| "base_ge_2_gives_2_to_the_d": false, | |
| "base_gt_1_nontrivial": false, | |
| "eps": "1/10" | |
| } | |
| ] | |
| }, | |
| "toy_hidden_path": { | |
| "R2": 0.9975602300281715, | |
| "blocker": "the true Hirsch-Papadimitriou-Vavasis instance is a continuous Brouwer map on [0,1]^d whose construction we do not implement; this is a discrete hidden-path family with the same information-hiding mechanism, run at m=3 and d<=9.", | |
| "implied_base": 1.737024441318484, | |
| "label": "toy", | |
| "log_queries_slope_per_dimension": 0.5521735581550697, | |
| "measurements": [ | |
| { | |
| "cells": 9, | |
| "d": 2, | |
| "grid_side": 3, | |
| "mean_queries": 4.2, | |
| "median_queries": 4.0, | |
| "path_length": 3, | |
| "trials": 40 | |
| }, | |
| { | |
| "cells": 27, | |
| "d": 3, | |
| "grid_side": 3, | |
| "mean_queries": 6.925, | |
| "median_queries": 6.0, | |
| "path_length": 5, | |
| "trials": 40 | |
| }, | |
| { | |
| "cells": 81, | |
| "d": 4, | |
| "grid_side": 3, | |
| "mean_queries": 12.875, | |
| "median_queries": 10.0, | |
| "path_length": 9, | |
| "trials": 40 | |
| }, | |
| { | |
| "cells": 243, | |
| "d": 5, | |
| "grid_side": 3, | |
| "mean_queries": 21.25, | |
| "median_queries": 19.0, | |
| "path_length": 16, | |
| "trials": 40 | |
| }, | |
| { | |
| "cells": 729, | |
| "d": 6, | |
| "grid_side": 3, | |
| "mean_queries": 33.075, | |
| "median_queries": 32.5, | |
| "path_length": 27, | |
| "trials": 40 | |
| }, | |
| { | |
| "cells": 2187, | |
| "d": 7, | |
| "grid_side": 3, | |
| "mean_queries": 58.725, | |
| "median_queries": 58.0, | |
| "path_length": 47, | |
| "trials": 40 | |
| }, | |
| { | |
| "cells": 6561, | |
| "d": 8, | |
| "grid_side": 3, | |
| "mean_queries": 122.2, | |
| "median_queries": 92.5, | |
| "path_length": 81, | |
| "trials": 40 | |
| }, | |
| { | |
| "cells": 19683, | |
| "d": 9, | |
| "grid_side": 3, | |
| "mean_queries": 199.05, | |
| "median_queries": 186.5, | |
| "path_length": 140, | |
| "trials": 40 | |
| } | |
| ], | |
| "predicted_base_sqrt_m": 1.7320508075688772, | |
| "predicted_slope_half_log_m": 0.5493061443340549 | |
| }, | |
| "verdict": { | |
| "empirical_family": "toy", | |
| "exponential_arithmetic_verified": true, | |
| "reduction_and_query_equivalence_verified": true | |
| } | |
| } |
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