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PreprintCC BY 4.0arXiv

Mixing Time of the Random-Pair Monte Shuffle

Abstract

In the random-pair Monte shuffle on n cards, each step chooses two positions independently and uniformly and exchanges their cards with probability 1/2. The chosen positions are public; the decisions to exchange cards remain hidden. We prove that the mixing time in expected conditional total variation distance is 2nlog n+O(n), with an exact leading constant and an O(n) cutoff window. To our knowledge, this is the first public-schedule Monte shuffle whose full-permutation mixing time has been determined up to an additive O(n) term. The upper bound follows by comparing two executions with the same public schedule to a classical random-transposition walk. For the lower bound, we construct a schedule-dependent test function and estimate its variance using a matrix-averaging operator. Combined with the depth bound of Czumaj and Lingas, the mixing estimate gives public switching networks with at most 2nlog n+O(n) switches and O(log n) depth for fixed error and failure probabilities. The author obtained this result through interaction with GPT-6 Astra.

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BibTeX
@misc{mironov2026mixing,
  title = {{Mixing Time of the Random-Pair Monte Shuffle}},
  author = {Ilya Mironov},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.03959},
  eprint = {2611.03959},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.03959},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Mixing Time of the Random-Pair Monte Shuffle
AU  - Ilya Mironov
PY  - 2026
DA  - 2026/11/02
PB  - arXiv
DO  - 10.48550/arxiv.2611.03959
UR  - https://arxiv.org/abs/2611.03959
AB  - In the random-pair Monte shuffle on n cards, each step chooses two positions independently and uniformly and exchanges their cards with probability 1/2. The chosen positions are public; the decisions to exchange cards remain hidden. We prove that the mixing time in expected conditional total variation distance is 2nlog n+O(n), with an exact leading constant and an O(n) cutoff window. To our knowledge, this is the first public-schedule Monte shuffle whose full-permutation mixing time has been determined up to an additive O(n) term. The upper bound follows by comparing two executions with the same public schedule to a classical random-transposition walk. For the lower bound, we construct a schedule-dependent test function and estimate its variance using a matrix-averaging operator. Combined with the depth bound of Czumaj and Lingas, the mixing estimate gives public switching networks with at most 2nlog n+O(n) switches and O(log n) depth for fixed error and failure probabilities. The author obtained this result through interaction with GPT-6 Astra.
ER  -