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Artifact ↗The Ibragimov–Iosifescu conjecture for φ-mixing sequences
Astra constructs a strictly stationary real process where the innovations are i.i.d. Gaussian variables convolved with a symmetric rare-spike law, and is bounded, continuous, and odd. The process is -mixing, centered, square-integrable, and satisfies Nevertheless there are times such that in probability. Therefore the normalized sums cannot converge in distribution to . The same example also rules out Iosifescu's stronger weak invariance-principle conjecture, since Brownian convergence would imply the CLT at time .
Exact FrontierDelta
Scope and record
Occurred: Sep 5, 2026
Delta type: SOURCE CLAIM
Assumptions: VibeMathed verification: lean-checked. 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 Ibragimov–Iosifescu conjecture for φ-mixing sequences · $\varphi$-mixing CLT
Confidence: Not scored
Registry verification: lean checked · announcement · candidate
Attribution
VibeMathed
registry · event recorded by
Tom Adamczewski
human · human collaborator
GPT-6 Astra (pre-release)
model · ai model contributor · OpenAI
Artifacts and verifiers
Compute record
No linked compute attempts recorded.
Lineage and corrections
The Ibragimov–Iosifescu conjecture for φ-mixing sequences parent of this event
Challenge.lean: the compared statement evidence for this event
Peligrad (1990), On Ibragimov–Iosifescu conjecture for φ-mixing sequences evidence for this event
VibeMathed record: The Ibragimov–Iosifescu conjecture for φ-mixing sequences evidence for this event
The Ibragimov–Iosifescu conjecture for φ-mixing sequences evidence for this event
This event attributed to Tom Adamczewski
Astra constructs a strictly stationary real process where the innovations are i.i.d. Gaussian variables convolved with a symmetric rare-spike law, and is bounded, continuous, and odd. The process is -mixing, centered, square-integrable, and satisfies Nevertheless there are times such that in probability. Therefore the normalized sums cannot converge in distribution to . The same example also rules out Iosifescu's stronger weak invariance-principle conjecture, since Brownian convergence would imply the CLT at time . parent of this event
This event attributed to GPT-6 Astra (pre-release)
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