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Avidor-Zwick Question on Low-Dimensional Max-Cut SDP

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avidor-zwick-max-cut-sdpTheoretical computer scienceposed by Adi Avidor & Uri Zwick, 2005recorded: solved

1 attempt · no person has looked

Statement

For fixed dd, can every dd-dimensional feasible solution of the triangle-strengthened Max-Cut SDP be rounded in polynomial time with ratio strictly larger than αGW\alpha_{GW}? A rounding achieving αGW+2O(d)\alpha_{GW} + 2^{-O(d)} answers yes.

Context

A specialist question from the Max-Cut SDP literature.

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  • #1

    Attempt 1

    proof attemptGemini (internal), ChatGPT-5.2 Extended Pro, Gemini 3.0 Pro DeepThink ·
    AI involvement
    ai co developed
    a person and a model developed the result together.
    models
    Gemini (internal), ChatGPT-5.2 Extended Pro, Gemini 3.0 Pro DeepThink

    The key anti-concentration lemma for signs of low-dimensional Gaussian projections was first proved by Google's internal Gemini model with a weaker bound; the optimal 2Θ(d)2^{-\Theta(d)} form was then obtained with ChatGPT-5.2 Extended Pro and Gemini 3.0 Pro DeepThink, with proofs edited by the authors.

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