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Fast relaxation of the random field Ising dynamics

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arxiv 2311.06171 v2 pith:XTVR7JZE submitted 2023-11-10 math.PR cs.DSmath-phmath.MP

classification math.PRcs.DSmath-phmath.MP
keywords mixingweakdynamicscorrelationsdecayexpectationexponentialfield
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abstract

We study the convergence properties of Glauber dynamics for the random field Ising model (RFIM) with ferromagnetic interactions on finite domains of $\mathbb{Z}^d$, $d \ge 2$. Of particular interest is the Griffiths phase where correlations decay exponentially fast in expectation over the quenched disorder, but there exist arbitrarily large islands of weak fields where low-temperature behavior is observed. Our results are twofold: 1. Under weak spatial mixing (boundary-to-bulk exponential decay of correlations) in expectation, we show that the dynamics satisfy a weak Poincar\'e inequality implying algebraic relaxation to equilibrium over timescales polynomial in the volume $N$ of the domain, and polynomial time mixing from a warm start. From this we construct a polynomial-time approximate sampling algorithm based on running Glauber dynamics over an increasing sequence of approximations of the domain. 2. Under strong spatial mixing (exponential decay of correlations even near boundary pinnings) in expectation, we prove a full Poincar\'e inequality, implying exponential relaxation to equilibrium and $N^{o(1)}$-mixing time. Note by way of example, both weak and strong spatial mixing hold at any temperature, provided the external fields are strong enough. Our proofs combine a stochastic localization technique which has the effect of increasing the variance of the field, with a field-dependent coarse graining which controls the resulting sub-critical percolation process of sites with weak fields.

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  1. Sampling from Binary Quadratic Distributions via Stochastic Localization

    math.ST 2025-05 conditional novelty 6.0 of 10

    Stochastic localization drives binary quadratic posteriors into a strong-field regime where Glauber, Metropolis-Hastings, and DULA-type samplers satisfy Poincaré inequalities with polynomial mixing time.

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