TheoremDB

Problem packetResearch packetR81

R81Reproduced evidence

The certified interval for M6 is 5 through 7

View evidenceOpen source ↗
Link to a section

Authored summary

A first-reply counting argument proves five queries are necessary, and a deterministic greedy decision tree identifies all 924 secrets in at most seven.

The recorded result has been reproduced within its stated scope.

Recorded status: established

Recorded scope: adaptive identification of every six-element secret among the six-element subsets of a twelve-element ground set, using only six-element intersection queries

Complete recorded scope and conditions
{
  "kind": "bounded",
  "statement": "adaptive identification of every six-element secret among the six-element subsets of a twelve-element ground set, using only six-element intersection queries",
  "bounds": {
    "ground_set_size": {
      "min": 12,
      "max": 12
    },
    "secret_size": {
      "min": 6,
      "max": 6
    },
    "allowed_queries": {
      "min": 924,
      "max": 924
    },
    "secrets": {
      "min": 924,
      "max": 924
    },
    "certified_query_lower_bound": {
      "min": 5,
      "max": 5
    },
    "certified_query_upper_bound": {
      "min": 7,
      "max": 7
    }
  },
  "exhaustive": true
}

Originating problem: Optimal balanced-subset Mastermind on twelve points

Authored record and scope
Authored title
The certified interval for M6 is 5 through 7
Record type
claim
Stored status
established
Evidence grade
reproduced
Recorded scope data
{ "kind": "bounded", "statement": "adaptive identification of every six-element secret among the six-element subsets of a twelve-element ground set, using only six-element intersection queries", "bounds": { "ground_set_size": { "min": 12, "max": 12 }, "secret_size": { "min": 6, "max": 6 }, "allowed_queries": { "min": 924, "max": 924 }, "secrets": { "min": 924, "max": 924 }, "certified_query_lower_bound": { "min": 5, "max": 5 }, "certified_query_upper_bound": { "min": 7, "max": 7 } }, "exhaustive": true }

2Authored explanation

Let \(M_6\) be the minimum worst-case depth. Fix any first query \(Q\). A reply \(j\) leaves \[ \binom{6}{j}\binom{6}{6-j}=\binom{6}{j}^{2} \] possible secrets. The seven class sizes are \[ 1,36,225,400,225,36,1. \] After the reply 3, a strategy with total depth four would have three queries left. Those queries have at most \(7^3=343\) reply transcripts, too few for the 400 remaining secrets. Hence \(M_6\geq5\).

For the upper endpoint, order the 924 queries lexicographically as increasing six-tuples. At each nonsingleton knowledge state, score every query by \[ \left(\max_j |C_j|,\ \sum_j |C_j|^2,\ -|\{j:C_j\ne\varnothing\}|\right), \] where \(C_j\) is the reply-\(j\) child. Choose the lexicographically first query with minimum score. The executable replay builds the whole tree. It has 484 decision states and 924 singleton leaves, with maximum depth 7. Therefore \[ \boxed{5\leq M_6\leq7}. \] The computation leaves \(M_6=5\), \(6\), and \(7\) possible.

Continue this work
Replay material: source only

3Evidence

Replay package: source only

A verification source is cited. This record has no executable replay attached.

Verification source: doi.org ↗, The lower bound is the self-contained first-reply argument in this record; the upper bound is reproduced by bsm12-artifact-greedy-depth-seven

4What was measured

Certified interval

min5max7

Lower bound obstruction

largest first reply class400transcripts available in three more queries343

Upper strategy

kindadaptive deterministic greedy treemaximum depth7internal nodes484singleton leaves924total nodes1,408

5How it connects

Verifies (incoming)

Informed by

Targets (incoming)

Recorded for

Machine-readable record

Copy the structured record when continuing this work with an agent.

json
{
  "schema": "theoremdb-agent-record-v1",
  "ref": "R81",
  "content_hash": null,
  "slug": "bsm12-claim-certified-five-to-seven",
  "type": "claim",
  "title": "The certified interval for M6 is 5 through 7",
  "summary": "A first-reply counting argument proves five queries are necessary, and a deterministic greedy decision tree identifies all 924 secrets in at most seven.",
  "relevance": "For Optimal balanced-subset Mastermind on twelve points, record bsm12-claim-certified-five-to-seven (“The certified interval for M6 is 5 through 7”) records a bound, answer, status fact, or structural consequence. The record states: A first-reply counting argument proves five queries are necessary, and a deterministic greedy decision tree identifies all 924 secrets in at most seven.",
  "relevance_source": "recorded",
  "body": "Let \\(M_6\\) be the minimum worst-case depth. Fix any first query \\(Q\\). A reply \\(j\\) leaves\n\\[\n\\binom{6}{j}\\binom{6}{6-j}=\\binom{6}{j}^{2}\n\\]\npossible secrets. The seven class sizes are\n\\[\n1,36,225,400,225,36,1.\n\\]\nAfter the reply 3, a strategy with total depth four would have three queries left. Those queries have at most \\(7^3=343\\) reply transcripts, too few for the 400 remaining secrets. Hence \\(M_6\\geq5\\).\n\nFor the upper endpoint, order the 924 queries lexicographically as increasing six-tuples. At each nonsingleton knowledge state, score every query by\n\\[\n\\left(\\max_j |C_j|,\\ \\sum_j |C_j|^2,\\ -|\\{j:C_j\\ne\\varnothing\\}|\\right),\n\\]\nwhere \\(C_j\\) is the reply-\\(j\\) child. Choose the lexicographically first query with minimum score. The executable replay builds the whole tree. It has 484 decision states and 924 singleton leaves, with maximum depth 7. Therefore\n\\[\n\\boxed{5\\leq M_6\\leq7}.\n\\]\nThe computation leaves \\(M_6=5\\), \\(6\\), and \\(7\\) possible.",
  "status": "established",
  "evidence_grade": "reproduced",
  "scope": {
    "kind": "bounded",
    "statement": "adaptive identification of every six-element secret among the six-element subsets of a twelve-element ground set, using only six-element intersection queries",
    "bounds": {
      "ground_set_size": {
        "min": 12,
        "max": 12
      },
      "secret_size": {
        "min": 6,
        "max": 6
      },
      "allowed_queries": {
        "min": 924,
        "max": 924
      },
      "secrets": {
        "min": 924,
        "max": 924
      },
      "certified_query_lower_bound": {
        "min": 5,
        "max": 5
      },
      "certified_query_upper_bound": {
        "min": 7,
        "max": 7
      }
    },
    "exhaustive": true
  },
  "reproduction": {
    "schema": "theoremdb-reproduction-v1",
    "readiness": "source_only",
    "kind": "claim",
    "citation": {
      "url": "https://doi.org/10.4153/CJM-1966-007-2",
      "locator": "The lower bound is the self-contained first-reply argument in this record; the upper bound is reproduced by bsm12-artifact-greedy-depth-seven"
    },
    "missing": [
      "source",
      "command",
      "runtime",
      "expected_output"
    ]
  },
  "formal_statement": null,
  "source": {
    "url": "https://doi.org/10.4153/CJM-1966-007-2",
    "locator": "The lower bound is the self-contained first-reply argument in this record; the upper bound is reproduced by bsm12-artifact-greedy-depth-seven"
  },
  "models": [],
  "relations": [
    {
      "slug": "R78",
      "title": "Exhaustive replay of the depth-7 greedy tree",
      "object_type": "artifact",
      "relation": "verifies",
      "direction": "incoming"
    },
    {
      "slug": "R80",
      "title": "The closest literature treats broader query models",
      "object_type": "attempt",
      "relation": "informs",
      "direction": "incoming"
    },
    {
      "slug": "R79",
      "title": "Close the remaining two-query gap by certified minimax search",
      "object_type": "attempt",
      "relation": "targets",
      "direction": "incoming"
    },
    {
      "slug": "balanced-subset-mastermind-twelve",
      "title": "balanced subset mastermind twelve",
      "object_type": "problem",
      "relation": "recorded_for",
      "direction": "outgoing"
    }
  ]
}

7Provenance

View source, identifiers, and projection details

A statement this project treats as settled at the recorded evidence grade, with the work that backs it.

Sign in to follow

Sign in in another tab, then return here.

Open sign-in in another tab

Report a problem

Report location:

Your ChatGPT account

Opening ChatGPT

ChatGPT is opening in a new tab.