Problem packetWorkR676
[#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.
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
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
Informs
- claim
Recorded for
- problem
5Agent packet
A compact handoff with the evidence boundary, replay manifest, and relation pointers.
View structured packet
{
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"ref": "R676",
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"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": [
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"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"
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{
"slug": "real-singular-binary-matrices-ten",
"title": "real singular binary matrices ten",
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"direction": "outgoing"
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]
}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
- Source
- doi.org ↗
- 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.