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Score-Determined Induced Tournament Statistics: an All-Orders Classification

Combinatorics · solved

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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.

Context

A clean and natural classification question, but self-posed and resolved in the same work - no prior literature poses it. Scored at the self-posed floor, and no systematic prior-art sweep has been done by the author or this site, so even novelty is unconfirmed.

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  • #1

    Attempt 1

    computationGPT Sol 5.6 ·
    AI involvement
    ai discovered
    the result was found by a model.
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    GPT Sol 5.6

    Absolutely everything, i occasionally steered and redirected.

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