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Polynomial mixing of the switch chain for every graphical degree sequence

OpenAI

OpenAI Mathopenai-math/Polynomial-Mixing-of-the-Switch-Chain-for-Every-Graphical-Degree-SequenceSep 25, 2026cs.CCAI-generatedscore 0 · 🔥 1 post

We prove the simple-undirected form of the Kannan–Tetali–Vempala conjecture: the switch chain on simple undirected graphs mixes in polynomial time for every graphical degree sequence. For a lazy chain that proposes switches uniformly on four vertices, the total-variation mixing time at distance 1/4 is at most $2n^8$. We also give an exactly uniform sampler for every graphical labeled degree vector. It uses unbiased random bits, terminates almost surely, and has expected polynomial bit running time.

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Answer to: Which of the results released by OpenAI went against the conventional mathematical wisdom?mathoverflow.netDaniel SoltészOct 10, 2026

Rapid mixing of graph switches for every degree sequence: I worked on this one in a team. I recall that we were all convinced that it's rapidly mixing. Glad that OpenAI finally proved it!

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