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首页> 外文期刊>Journal of Statistical Physics >Fast Mixing for the Low Temperature 2D Ising Model Through Irreversible Parallel Dynamics
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Fast Mixing for the Low Temperature 2D Ising Model Through Irreversible Parallel Dynamics

机译:通过不可逆的并行动力学快速混合低温二维伊辛模型

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摘要

We study tunneling and mixing time for a non-reversible probabilistic cellular automaton. With a suitable choice of the parameters, we first show that the stationary distribution is close in total variation to a low temperature Ising model. Then we prove that both the mixing time and the time to exit a metastable state grow polynomially in the size of the system, while this growth is exponential in reversible dynamics. In this model, non-reversibility, parallel updatings and a suitable choice of boundary conditions combine to produce an efficient dynamical stability.
机译:我们研究不可逆概率细胞自动机的隧穿和混合时间。选择合适的参数后,我们首先表明稳态分布在总变化上与低温Ising模型接近。然后我们证明混合时间和退出亚稳态的时间在系统规模上呈多项式增长,而这种增长在可逆动力学中呈指数增长。在此模型中,不可逆性,并行更新和边界条件的适当选择共同产生了有效的动力学稳定性。

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