One-sample matroid prophet inequality

The quantity is the guaranteed fraction of expected offline optimum, with one sample per element of an arbitrary finite matroid and the same almighty full-seed arrival-order adversary. A higher fraction is better. Computation can take exponential time.

OpenAI baseline: 2−3102^{-310}, released .

These results are Claimed: their authors published them, and we have not checked them.

BoundEvidence levelAuthorDateProof scope
2−382^{-38}Claimedbottlebrushes
Proof scope

Lean changes and comparator challenge inspected; no build run.

≈4.76⋅10−10\approx4.76\cdot10^{-10}
Exact value and conditions
8003458533570087953/168074759461507046572032000008003458533570087953/16807475946150704657203200000
ClaimedRyan Shea
Proof scope

Formalization pending.