TheoremDB

Problem packetWorkR676

R676claimStatus: establishedEvidence: SupportedReplay: source only

[#R676] The binary order-n singular probability equals the sign-matrix order-(n+1) singular probability

claim. Bordering and sign normalization identify the binary problem with the standard Bernoulli sign model one order higher.

View evidenceOpen source ↗

1Summary

For a binary n by n matrix A, define the normalized sign matrix \[ H(A)=\begin{pmatrix}1&\mathbf1^{\mathsf T}\\ \mathbf1&J-2A\end{pmatrix}. \] Subtracting the first row from every other row gives \[ \det H(A)=(-2)^n\det A. \] Every sign matrix can be normalized to first row and first column equal to one by row and column sign changes. Each normalized matrix has the same number 2^(2n+1) of sign matrices in its normalization fiber. Consequently, the singular probability for n by n uniform binary matrices equals the singular probability for (n+1) by (n+1) uniform sign matrices.

Tikhomirov proved that the latter probability is (1/2+o(1))^(n+1). This asymptotic theorem explains the scale of the problem. Its constants do not give a numerical order-eleven bound, so the finite interval in rsbm10-claim-certified-count-interval uses exact elementary counts.

Supported evidence. Recorded scope: every n by n binary matrix and the corresponding normalized (n+1) by (n+1) sign matrix, for every positive integer n.

2Evidence

Replay package: source only

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

Verification source: doi.org ↗, Tikhomirov, Singularity of random Bernoulli matrices, Annals of Mathematics 191 (2020), 593-634; the bordering identity is checked algebraically in this record

3What was measured

Binary order
10
Equivalent sign order
11
Determinant scale
(-2)^n
Normalization fiber size
2^(2n+1)
Asymptotic singularity probability
(1/2+o(1))^(n+1)

4How it connects

Recorded for

5Agent packet

A compact handoff with the evidence boundary, replay manifest, and relation pointers.

View structured packet
json
{
  "schema": "theoremdb-agent-record-v1",
  "ref": "R676",
  "content_hash": null,
  "slug": "rsbm10-claim-bernoulli-normalization",
  "type": "claim",
  "title": "The binary order-n singular probability equals the sign-matrix order-(n+1) singular probability",
  "summary": "Bordering and sign normalization identify the binary problem with the standard Bernoulli sign model one order higher.",
  "relevance": "For Number of singular ten by ten binary matrices over the reals, record rsbm10-claim-bernoulli-normalization (“The binary order-n singular probability equals the sign-matrix order-(n+1) singular probability”) records a bound, answer, status fact, or structural consequence. The record states: Bordering and sign normalization identify the binary problem with the standard Bernoulli sign model one order higher.",
  "relevance_source": "recorded",
  "body": "For a binary n by n matrix A, define the normalized sign matrix\n\\[\nH(A)=\\begin{pmatrix}1&\\mathbf1^{\\mathsf T}\\\\ \\mathbf1&J-2A\\end{pmatrix}.\n\\]\nSubtracting the first row from every other row gives\n\\[\n\\det H(A)=(-2)^n\\det A.\n\\]\nEvery sign matrix can be normalized to first row and first column equal to one by row and column sign changes. Each normalized matrix has the same number 2^(2n+1) of sign matrices in its normalization fiber. Consequently, the singular probability for n by n uniform binary matrices equals the singular probability for (n+1) by (n+1) uniform sign matrices.\n\nTikhomirov proved that the latter probability is (1/2+o(1))^(n+1). This asymptotic theorem explains the scale of the problem. Its constants do not give a numerical order-eleven bound, so the finite interval in rsbm10-claim-certified-count-interval uses exact elementary counts.",
  "status": "established",
  "evidence_grade": "sourced",
  "scope": {
    "kind": "universal",
    "statement": "every n by n binary matrix and the corresponding normalized (n+1) by (n+1) sign matrix, for every positive integer n"
  },
  "reproduction": {
    "schema": "theoremdb-reproduction-v1",
    "readiness": "source_only",
    "kind": "claim",
    "citation": {
      "url": "https://doi.org/10.4007/annals.2020.191.2.6",
      "locator": "Tikhomirov, Singularity of random Bernoulli matrices, Annals of Mathematics 191 (2020), 593-634; the bordering identity is checked algebraically in this record"
    },
    "missing": [
      "source",
      "command",
      "runtime",
      "expected_output"
    ]
  },
  "formal_statement": null,
  "source": {
    "url": "https://doi.org/10.4007/annals.2020.191.2.6",
    "locator": "Tikhomirov, Singularity of random Bernoulli matrices, Annals of Mathematics 191 (2020), 593-634; the bordering identity is checked algebraically in this record"
  },
  "models": [],
  "relations": [
    {
      "slug": "R677",
      "title": "The singular count is between 126,174,821,830,345,268,667,240,568,576 and 901,210,462,928,281,273,073,900,978,176",
      "object_type": "claim",
      "relation": "informs",
      "direction": "outgoing"
    },
    {
      "slug": "real-singular-binary-matrices-ten",
      "title": "real singular binary matrices ten",
      "object_type": "problem",
      "relation": "recorded_for",
      "direction": "outgoing"
    }
  ]
}

6Provenance

View source, identifiers, and projection details
Project
real-singular-binary-matrices-ten
Locator
Tikhomirov, Singularity of random Bernoulli matrices, Annals of Mathematics 191 (2020), 593-634; the bordering identity is checked algebraically in this record
License
CC0-1.0
Contributors
TheoremDB entry research, 2026-07-25
Public record
R676
Stable alias
rsbm10-claim-bernoulli-normalization
Projection
Reproduction fields are derived from the immutable record.

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

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