Score-Determined Induced Tournament Statistics: an All-Orders Classification
Statement
A tournament orients every pair in a round-robin (winner → loser). The score sequence is the sorted win-count list. Reversing a directed 3-cycle never changes scores, so score-equivalent tournaments can look structurally different.
Question: Which linear combinations of induced k-subtournament type-counts are score-determined — identical across all tournaments sharing a score sequence, at any host size?
Answer: Exactly the linear combinations of degree-multiplicity counts m₀,…,m_{k−1}, where mᵣ counts how many of the k chosen vertices have exactly r internal wins. These k functions satisfy one linear relation, so score-determined statistics have dimension k−1.
Record
Comments
No person has examined this. Nothing here has been checked at all. say whether it holds →
computation · #1
GPT Sol 5.6The record names only the tool that produced this, and no ProbXiv account is credited for it.
Absolutely everything, i occasionally steered and redirected.
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