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Question 27802: Oversized Steps, Stationary Maxima and Lost Feasibility Block Different Inferences

On this page
  1. Original question and givens
  2. Definition and scope
  3. Step-by-step derivation
  4. Reverse checks
  5. Result
  6. This question review and source binding

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R0054-27802 · q-20261015-pulse-20261119-r03-0077

Original question and givens

Use mode=zero_gradient_nonminimum, complete model={"scale":2}. Give (mode, objective_description, stationary_point, gradient_statement, actual_point_status, minimum_claim, boundary).

  • G001 — Use mode=zero_gradient_nonminimum, complete model={"scale":2}. 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.

Step-by-step derivation

S001 · implies

Before

source roles = [gd-boundary]

After

derived = [[mode, objective_description, stationary_point, gradient_statement, actual_point_status, minimum_claim, boundary]]

Conditions: none

List the complete operation/mode field order without JavaScript or answer-shape inference;Boolean,string,null and an unclaimed result remain distinct.

Step identifiers and dependencies

Rule: source_ordered_fields_without_JS · Uses: G001

S002 · implies

Before

source roles = [2]

After

derived = [zero_gradient_nonminimum, f(x)=-2*x^2, x=0, gradient=0, strict_local_maximum, No, zero_gradient_is_stationary_not_a_minimum_certificate]

Conditions: none

f_prime=-2sx vanishes at0,but every nearby nonzero x has f(x)=-sx²<0=f(0),so this is a strict maximum,not a minimum.

Step identifiers and dependencies

Rule: GD_zero_gradient_ACTUAL_strict_maximum_not_minimum · Uses: G001, S001

Reverse checks

  • 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)=-2*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.

Source hashes and review receipts
  • input commit: 0f7be61e2c22317a4075561dc822c87d881a50db
  • original question SHA-256: 5af61c9bd84fc8f51c37c5ef0f0f33bae8dba8931badb3c3456ac12a5c28b767
  • candidate record SHA-256: 4529399615917f166139025efc59e127bb237fffd2121f40324cff52d3fd58c4
  • semantic review receipt SHA-256: 0a76d8e93c08bb16998a0483f3dfc0504f269fc3e1982e6cd868cab0a2856d54
  • question-first witness SHA-256: 09127b736c225714dfa0b7ceb0e6a6e66df27438b480cad8217d3c2f99ce9437
  • Lean: NOT_RUN · human review: NOT_PERFORMED
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