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The sharp exponential singularity rate of symmetric random sign matrices: P(det A_n = 0) = (1/2 + o(1))^n

Principal theorem: for symmetric AnA_n with independent uniform signs on and above the diagonal, Pr⁡(det⁡An=0)=(1/2+o(1))n=2−n+o(n)\Pr(\det A_n=0)=(1/2+o(1))^n=2^{-n+o(n)}, via a Schur-complement reduction to symmetric 0/1 matrices, a corank-one reduction and a counting argument for admissible appended columns. Companion: for fixed bias p∈(0,1)∖{1/2}p\in(0,1)\setminus\{1/2\}, the rate is p2+(1−p)2p^2+(1-p)^2, attained by two agreeing rows. Not shown: the believed Θ(n22−n)\Theta(n^22^{-n}) asymptotic, uniformity in pp, or general entry distributions.

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Prior state unknown→proved

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Occurred: Oct 3, 2026

Delta type: SOURCE CLAIM

Assumptions: VibeMathed verification: unreviewed. Publication: announcement. AI contribution: ai-discovered. VibeMathed editorial classifications, scores, notes, relations, and dataset structure are CC BY 4.0. Source statements and linked content retain their own rights.

Canonical aliases: The sharp exponential singularity rate of symmetric random sign matrices: P(det A_n = 0) = (1/2 + o(1))^n · Sharp singularity rate of symmetric sign matrices

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Unreleased internal OpenAI model
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Companion: The sharp singularity rate for biased symmetric sign matrices evidence for this event

The sharp exponential singularity rate of symmetric random sign matrices: P(det A_n = 0) = (1/2 + o(1))^n evidence for this event

The sharp exponential singularity rate of symmetric random sign matrices: P(det A_n = 0) = (1/2 + o(1))^n parent of this event

Principal theorem: for symmetric AnA_n with independent uniform signs on and above the diagonal, Pr⁡(det⁡An=0)=(1/2+o(1))n=2−n+o(n)\Pr(\det A_n=0)=(1/2+o(1))^n=2^{-n+o(n)}, via a Schur-complement reduction to symmetric 0/1 matrices, a corank-one reduction and a counting argument for admissible appended columns. Companion: for fixed bias p∈(0,1)∖{1/2}p\in(0,1)\setminus\{1/2\}, the rate is p2+(1−p)2p^2+(1-p)^2, attained by two agreeing rows. Not shown: the believed Θ(n22−n)\Theta(n^22^{-n}) asymptotic, uniformity in pp, or general entry distributions. parent of this event

Costello, Tao and Vu, Random symmetric matrices are almost surely nonsingular (2006) evidence for this event

VibeMathed record: The sharp exponential singularity rate of symmetric random sign matrices: P(det A_n = 0) = (1/2 + o(1))^n evidence for this event

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