{ "schema_version": "ocme-reviewed-question-reader-v1", "question_id": "q-20261014-advance-20261107-r04-markov-inequality-0017", "pilot_number": "R0039-20267", "number": 20267, "family_id": "qf-mod38-markov-qualification", "title": { "zh-Hant": "第 20267 題：Markov不等式", "en": "Question 20267: Keep the Source Pointwise Check Distinct from Almost-Sure Nonnegativity" }, "original_question": { "schema_version": "ocme-question-v0.1", "id": "q-20261014-advance-20261107-r04-markov-inequality-0017", "batch_id": "batch-20261014-advance-20261107-r04-markov-inequality-foundations", "language": "zh-Hant", "source_mko_ids": [ "mko-markov-inequality" ], "title_zh": "Markov不等式", "stem_zh": "完整正規化有限有理law、明示隨機變數與正閾值。操作=markov-qualification；資料={\"masses\":[[1,22],[2,22],[19,22]],\"values\":[0,17,19]}。請依 exact_ordered_tuple_declared_by_interface 欄序回答。", "answer": { "kind": "expression", "value": "([1/22, 1/11, 19/22], [0, 17, 19], 是, 395/22, 是, finite_expectation_and_nonnegative_almost_sure)", "explanation_zh": "Wave6根層核對=([1/22, 1/11, 19/22], [0, 17, 19], 是, 395/22, 是, finite_expectation_and_nonnegative_almost_sure)；依完整明示資料獨立重算；Markov要求X非負almost surely、有限期望與a大於0，結論是尾機率小於等於E[X]/a；上界不等於實際尾機率；signed variable不可直接套用且禁止零閾值。" }, "difficulty": { "band": "undergraduate_core", "level": 2, "skills": [ "Markov不等式" ] }, "variant": { "family_id": "qf-mod38-markov-qualification", "seed": 202611074017, "parameters": { "masses": [ [ 1, 22 ], [ 2, 22 ], [ 19, 22 ] ], "values": [ 0, 17, 19 ], "domain": "Finite_rational_Markov_inequality", "operation": "markov-qualification", "semantic_template": "qf-mod38-markov-qualification/{\"masses\":[[1,22],[2,22],[19,22]],\"values\":[0,17,19]}" } }, "verification": { "status": "candidate", "checks": [ "producer_exact_finite_or_symbolic_model", "producer_source_snapshot_check", "producer_substantive_template_deduplication", "producer_json_schema" ], "warning_zh": "候選須主端重算；不構成人工審定、有限sample群作用、sup等於max、basis等於subbasis、signed Markov、pigeonhole converse、nonunit Euler、finite-prefix subsequence、Lean或Evidence。" }, "provenance": { "generator_role": "question_producer", "generator_model": "model_unknown", "generated_at": "2026-10-14", "contract_version": "ocme-question-factory-v0.1" } }, "original_english_edition": { "schema_version": "ocme-question-localization-v0.1", "question_id": "q-20261014-advance-20261107-r04-markov-inequality-0017", "batch_id": "batch-20261014-advance-20261107-r04-markov-inequality-foundations", "locale": "en", "translation_state": "ai_candidate", "source": { "question_sha256": "b2a96a0f44403fbe8af145eb10657f53d90273bfbcefa3cc456319c12b329c57", "family_id": "qf-mod38-markov-qualification", "seed": 202611074017, "semantic_template": "qf-mod38-markov-qualification/{\"masses\":[[1,22],[2,22],[19,22]],\"values\":[0,17,19]}" }, "fields": { "title": "Keep the Source Pointwise Check Distinct from Almost-Sure Nonnegativity", "stem": "Use complete normalized finite law with exact masses=[1/22, 2/22, 19/22] and aligned total values X=[0, 17, 19]. Each mass is nonnegative and the masses sum to1. All moments here are finite. The prototype checks every value for its pointwise nonnegativity flag; a null-mass negative value is not by itself failure of the theorem's almost-sure premise. Give (masses, values, all_values_nonnegative, expectation, source_Markov_qualification, certificate).", "answer": { "kind": "expression", "value": "([1/22, 1/11, 19/22], [0, 17, 19], Yes, 395/22, Yes, finite_expectation_and_nonnegative_almost_sure)", "explanation": "Return normalized masses, values, the every-entry nonnegativity flag and exact expectation. The source qualification repeats that pointwise flag, a sufficient condition for almost-sure nonnegativity. Null-mass-only negative ambiguities are rejected by the English adapter for source review, not converted into a false theorem claim. The exact result, retaining the requested order, is ([1/22, 1/11, 19/22], [0, 17, 19], Yes, 395/22, Yes, finite_expectation_and_nonnegative_almost_sure)." }, "skills": [ "Keep the Source Pointwise Check Distinct from Almost-Sure Nonnegativity" ], "verification_warning": "This is a candidate exercise. Mechanical recomputation checks only the stated conditions and this instance; it is neither a formal proof nor human review." } }, "givens": [ { "id": "G001", "text": { "zh-Hant": "完整正規化有限有理law、明示隨機變數與正閾值。操作=markov-qualification；資料={\"masses\":[[1,22],[2,22],[19,22]],\"values\":[0,17,19]}。請依 exact_ordered_tuple_declared_by_interface 欄序回答。", "en": "Use complete normalized finite law with exact masses=[1/22, 2/22, 19/22] and aligned total values X=[0, 17, 19]. Each mass is nonnegative and the masses sum to1. All moments here are finite. The prototype checks every value for its pointwise nonnegativity flag; a null-mass negative value is not by itself failure of the theorem's almost-sure premise. Give (masses, values, all_values_nonnegative, expectation, source_Markov_qualification, certificate)." } } ], "steps": [ { "id": "S001", "uses": [ "G001" ], "before": "source operation=markov-qualification;original snapshot and mathematics retained", "after": "explicit ordered source output fields=[masses, values, all_values_nonnegative, expectation, source_Markov_qualification, certificate]", "relation": "implies", "rule_id": "source_ordered_interface_explicit_without_javascript", "conditions": [], "explanation": { "zh-Hant": "原題快照保留歷史介面標記；本頁直接列來源欄位順序，不需JavaScript或外部表。欄位標籤不是額外數學證據，No保持原題的聲稱範圍。", "en": "Retain the historical interface marker in the original snapshot while listing ordered source fields here,without JavaScript or external lookup.Field labels are not additional mathematical evidence,and No retains the source claim scope." }, "reverse_audit": { "kind": "premise_and_result_audit", "explanation": { "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。", "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence." } }, "arithmetic": null }, { "id": "S002", "uses": [ "G001", "S001" ], "before": "Markov complete probability mass := sum(1/22, 1/11, 19/22)", "after": "Markov complete probability mass = 1", "relation": "calculation", "rule_id": "exact_rational_arithmetic", "conditions": [], "explanation": { "zh-Hant": "依原始角色與已核中間量精確代值，保留索引、正負號、分母與證明適用條件。", "en": "Substitute original roles and established intermediates exactly,retaining indices,signs,denominators and the proof's applicability conditions." }, "reverse_audit": { "kind": "premise_and_result_audit", "explanation": { "zh-Hant": "以精確有理數重算 Markov complete probability mass，不以小數近似替代。", "en": "Recompute Markov complete probability mass with exact rational arithmetic, not rounded decimals." } }, "arithmetic": { "operation": "sum", "inputs": [ "1/22", "1/11", "19/22" ], "output": "1", "label": "Markov complete probability mass" } }, { "id": "S003", "uses": [ "G001", "S002" ], "before": "Markov original atom0 weighted X := mul(1/22, 0)", "after": "Markov original atom0 weighted X = 0", "relation": "calculation", "rule_id": "exact_rational_arithmetic", "conditions": [], "explanation": { "zh-Hant": "依原始角色與已核中間量精確代值，保留索引、正負號、分母與證明適用條件。", "en": "Substitute original roles and established intermediates exactly,retaining indices,signs,denominators and the proof's applicability conditions." }, "reverse_audit": { "kind": "premise_and_result_audit", "explanation": { "zh-Hant": "以精確有理數重算 Markov original atom0 weighted X，不以小數近似替代。", "en": "Recompute Markov original atom0 weighted X with exact rational arithmetic, not rounded decimals." } }, "arithmetic": { "operation": "mul", "inputs": [ "1/22", "0" ], "output": "0", "label": "Markov original atom0 weighted X" } }, { "id": "S004", "uses": [ "G001", "S003" ], "before": "Markov original atom1 weighted X := mul(1/11, 17)", "after": "Markov original atom1 weighted X = 17/11", "relation": "calculation", "rule_id": "exact_rational_arithmetic", "conditions": [], "explanation": { "zh-Hant": "依原始角色與已核中間量精確代值，保留索引、正負號、分母與證明適用條件。", "en": "Substitute original roles and established intermediates exactly,retaining indices,signs,denominators and the proof's applicability conditions." }, "reverse_audit": { "kind": "premise_and_result_audit", "explanation": { "zh-Hant": "以精確有理數重算 Markov original atom1 weighted X，不以小數近似替代。", "en": "Recompute Markov original atom1 weighted X with exact rational arithmetic, not rounded decimals." } }, "arithmetic": { "operation": "mul", "inputs": [ "1/11", "17" ], "output": "17/11", "label": "Markov original atom1 weighted X" } }, { "id": "S005", "uses": [ "G001", "S004" ], "before": "Markov original atom2 weighted X := mul(19/22, 19)", "after": "Markov original atom2 weighted X = 361/22", "relation": "calculation", "rule_id": "exact_rational_arithmetic", "conditions": [], "explanation": { "zh-Hant": "依原始角色與已核中間量精確代值，保留索引、正負號、分母與證明適用條件。", "en": "Substitute original roles and established intermediates exactly,retaining indices,signs,denominators and the proof's applicability conditions." }, "reverse_audit": { "kind": "premise_and_result_audit", "explanation": { "zh-Hant": "以精確有理數重算 Markov original atom2 weighted X，不以小數近似替代。", "en": "Recompute Markov original atom2 weighted X with exact rational arithmetic, not rounded decimals." } }, "arithmetic": { "operation": "mul", "inputs": [ "19/22", "19" ], "output": "361/22", "label": "Markov original atom2 weighted X" } }, { "id": "S006", "uses": [ "G001", "S005" ], "before": "Markov complete SAME-law expectation := sum(0, 17/11, 361/22)", "after": "Markov complete SAME-law expectation = 395/22", "relation": "calculation", "rule_id": "exact_rational_arithmetic", "conditions": [], "explanation": { "zh-Hant": "依原始角色與已核中間量精確代值，保留索引、正負號、分母與證明適用條件。", "en": "Substitute original roles and established intermediates exactly,retaining indices,signs,denominators and the proof's applicability conditions." }, "reverse_audit": { "kind": "premise_and_result_audit", "explanation": { "zh-Hant": "以精確有理數重算 Markov complete SAME-law expectation，不以小數近似替代。", "en": "Recompute Markov complete SAME-law expectation with exact rational arithmetic, not rounded decimals." } }, "arithmetic": { "operation": "sum", "inputs": [ "0", "17/11", "361/22" ], "output": "395/22", "label": "Markov complete SAME-law expectation" } }, { "id": "S007", "uses": [ "G001", "S006" ], "before": "ORIGINAL complete nonempty masses=[1/22, 1/11, 19/22];ALL aligned values X=[0, 17, 19];full mass=1;ALL weighted X terms=[0, 17/11, 361/22]", "after": "finite exact expectation=395/22;prototype EVERY-ENTRY nonnegative=是;actual positive-mass nonnegativity=是;null-negative atoms=[];positive-mass negative atoms=[]", "relation": "implies", "rule_id": "markov_pointwise_source_gate_not_almost_sure_confusion", "conditions": [], "explanation": { "zh-Hant": "原型flag逐整張表檢非負，a.s.只限制正質量點，兩者不混同。非tail題族依英文來源guard把僅null負值的歧義留給來源審查，不把它當定理前提失敗；tail本身仍可對signed X計算。", "en": "The prototype flag tests every table entry,whereas almost-sure nonnegativity concerns positive-mass atoms only.The English source-review guard excludes null-only negative ambiguities from non-tail families rather than calling them a theorem-premise failure.The tail itself can still be computed for signed X." }, "reverse_audit": { "kind": "premise_and_result_audit", "explanation": { "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。", "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence." } }, "arithmetic": null }, { "id": "S008", "uses": [ "G001", "S007" ], "before": "prototype every-entry nonnegative flag=是;actual a.s.nonnegative=是;exact finite expectation=395/22", "after": "SOURCE qualification repeats its pointwise flag=是;pointwise nonnegativity is SUFFICIENT,not NECESSARY in general for the theorem's a.s. premise", "relation": "implies", "rule_id": "markov_source_qualification_repeated_flag_not_general_necessity", "conditions": [], "explanation": { "zh-Hant": "來源tuple兩次保同一prototype旗標，不另改答案成不同a.s.測試。此有限模型期望皆有限；tag描述審核條件，False不表示證書已成立，null-only歧義仍被guard攔住。", "en": "Retain both occurrences of the same source prototype flag rather than changing the answer to a different a.s.test.Expectations in this finite model are finite.The tag names the audited condition;false does not certify that it holds,and null-only ambiguities remain guarded." }, "reverse_audit": { "kind": "premise_and_result_audit", "explanation": { "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。", "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence." } }, "arithmetic": null } ], "math_model": { "result": [ [ "1/22", "1/11", "19/22" ], [ "0", "17", "19" ], true, "395/22", true, "finite_expectation_and_nonnegative_almost_sure" ] }, "conclusion": { "canonical_value": "([1/22, 1/11, 19/22], [0, 17, 19], 是, 395/22, 是, finite_expectation_and_nonnegative_almost_sure)", "explanation": { "zh-Hant": "依上列完整代值及條件核對得到原題答案；原題編號、格式與狀態保持不變。", "en": "The full substitutions and premise checks give the original answer; source identity,format and status are unchanged." } }, "definition_note": { "zh-Hant": "沿用原題明示的論域、假設與來源 MKO 定義。本題已完成第二對話數理與中英語義覆核，並由原始參數逐題獨立重算模型、答案與每個算術步驟；原題仍為 candidate。", "en": "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." }, "source": { "input_commit": "0f7be61e2c22317a4075561dc822c87d881a50db", "question_binding": { "batch_id": "batch-20261014-advance-20261107-r04-markov-inequality-foundations", "batch_path": "public/data/questions/batches/batch-20261014-advance-20261107-r04-markov-inequality-foundations/questions.jsonl", "batch_sha256": "b940549231c49394a8780469eef46b759de327644e902cfe22e155544da63a79", "original_line": 17, "original_line_sha256": "ec4287df43769ce9aabf35ef3a7380d10b99876c65800a17cf25aa67bd9c982c", "question_compact_sha256": "b2a96a0f44403fbe8af145eb10657f53d90273bfbcefa3cc456319c12b329c57", "english_row_compact_sha256": "eb17d12439228b6fde261eaa06230edad0b72a05f51b1bf07650e892bb717010", "english_manifest_path": "public/data/i18n/editions/batch-20261014-advance-20261107-r04-markov-inequality-foundations.en.json", "english_rows_path": "public/data/i18n/questions/batch-20261014-advance-20261107-r04-markov-inequality-foundations.en.jsonl" }, "mko_bindings": { "mko-markov-inequality": { "sha256": "1363d255fe303067c7fcc800bd82bcecddd8331a0e2262159df06012d4c8bdbd", "english_sha256": "0c9c249b7d6fc18648349ae126e9311ddbd1af2b9589196a552d85bb6f181567", "original_path": "public/data/mko/markov-inequality.json", "english_path": "public/data/i18n/editions/mko-markov-inequality.en.json" } }, "selected_manifest_sha256": "5233edba9654a6cffd8b6b2d83c932f82ded15f9c0b7c733bd049943e672acff", "selected_part_sha256": "521929dfe9b0919224c38312ad78e5fa56457fc886faaa12b137edd83962251e", "original_candidate_sha256": "3d36ba1441a76a0b5afad4550d26405286a34b45f606fc1c3a7e101e1664251f", "original_candidate_line_sha256": "3d36ba1441a76a0b5afad4550d26405286a34b45f606fc1c3a7e101e1664251f" }, "historical_source_state": { "review_state": { "derivation": "candidate_authored_and_locally_checked", "source_question_state": "candidate", "independent_AI_or_human_review": "NOT_PERFORMED", "formalization": "not_formalized", "Lean": "NOT_RUN" }, "scope_note": { "zh-Hant": "來源綁定教學推導候選；精確核對不等於獨立AI／人工審查或一般形式證明。原題、答案、MKO、公式、AST與歷史不變。", "en": "Source-bound pedagogical derivation candidate.Exact checking is not independent AI/human review or general formal proof.Original questions,answers,MKOs,formulas,ASTs and history remain unchanged." }, "label": "Frozen producer metadata; current per-question review is separate below." }, "revision": { "id": "review-20261026-008-p40", "review_date": "2026-10-26", "owner_authorized_reader_publication": true, "scope": "One hundred sixty family prototypes and their mathematical/bilingual reasoning variants, stems, boundary statements and every distinct explanation shape were reviewed in a context independent of the producer; parameter substitutions, source bindings, full math models, both answer strings and every arithmetic step were independently reconstructed per question from the original parameters only, with negative controls. This grouped method does not claim a separate literal AI reading of every repeated sentence or an extra AI voter.", "review_receipts": { "semantic_review_sha256": "6e11e35fafe32f16900ce9b522d01acb7b2ee6b463ab179392076cfbe1af8034", "question_first_witness_sha256": "cc0fa361fc25151729e70264340d2eae94f179f6f2a2edfe80ba5704fbbd0682" }, "status": "second_context_reviewed", "mathematical_semantics": true, "bilingual_semantics": true, "steps_reviewed": 8, "method": "family_template_semantic_review_plus_independent_per_instance_reconstruction", "exact_question_first_check": { "model_sha256": "ec4e9333bd5b4365ec35194ced0c35ffed37d1dd9922de5432161c7eabe24171", "arithmetic_steps": 5 }, "uses_answer_as_premise": false, "human_review": "NOT_PERFORMED", "formalization": "not_formalized", "Lean": "NOT_RUN", "Canonical_truth_promotion": false, "authority": "Owner-authorized reviewed reader publication; original question/candidate states remain historical and unchanged." } }