Use mode=zero_gradient_nonminimum, complete model={"scale":6}. Give (mode, objective_description, stationary_point, gradient_statement, actual_point_status, minimum_claim, boundary).
G001 — Use mode=zero_gradient_nonminimum, complete model={"scale":6}. Give (mode, objective_description, stationary_point, gradient_statement, actual_point_status, minimum_claim, boundary).
Definition and scope
Use the original question domain, assumptions and cited MKO definitions. This item has second-context mathematical and bilingual review, with the model, answer and every arithmetic step independently recomputed from the original parameters; the source question remains a candidate.
S002 · premise_and_result_audit — Reverse-check original data,operands,complete scope and premises;finite witnesses,conditional theorem use and formal proof remain distinct.
S001 · premise_and_result_audit — Reverse-check original data,operands,complete scope and premises;finite witnesses,conditional theorem use and formal proof remain distinct.
Result
(zero_gradient_nonminimum, f(x)=-6*x^2, x=0, gradient=0, strict_local_maximum, No, zero_gradient_is_stationary_not_a_minimum_certificate)
The full substitutions and premise checks give the original answer; source identity,format and status are unchanged.
This question review and source binding
Review date: 2026-10-26
Original questions, answers, step expressions, numeric ASTs and historical records are retained. Source candidate labels remain historical and are not overwritten as formal proof.