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Dynamical random field Ising model at zero temperature

Jian Ding, Peng Yang, Zijie Zhuang

TL;DR

The paper studies the zero-temperature evolution of the RFIM as the external-field mean M increases, comparing ground-state evolution with zero-temperature Glauber dynamics. It establishes a sharp dimension-dependent picture: in 2D there is no global avalanche for any disorder strength, while in d≥3 a disorder-driven phase transition governs the occurrence of global avalanches, with small ε yielding a macroscopic flip and large ε suppressing it. A central methodological contribution is a multi-scale, isoperimetric approach that connects RFIM dynamics to polluted bootstrap percolation, enabling precise probabilistic control of flip sets and triggering times. The work also develops a rigorous polluted bootstrap percolation framework and leverages it to derive threshold results and to solve an open problem in Gravner-Holroyd-3D, with extensions to Glauber dynamics at positive temperature and open questions for higher dimensions. Overall, the paper provides a cohesive, dimension-aware treatment of dynamical RFIM behavior at zero temperature and establishes deep connections to percolation theory and multi-scale energy-change control.

Abstract

In this paper, we study the evolution of the zero-temperature random field Ising model as the mean of the external field $M$ increases from $-\infty$ to $\infty$. We focus on two types of evolutions: the ground state evolution and the Glauber evolution. For the ground state evolution, we investigate the occurrence of global avalanche, a moment where a large fraction of spins flip simultaneously from minus to plus. In two dimensions, no global avalanche occurs, while in three or higher dimensions, there is a phase transition: a global avalanche happens when the noise intensity is small, but not when it is large. Additionally, we study the zero-temperature Glauber evolution, where spins are updated locally to minimize the Hamiltonian. Our results show that for small noise intensity, in dimensions $d =2$ or $3$, most spins flip around a critical time $c_d = \frac{2 \sqrt{d}}{1 + \sqrt{d}}$ (but we cannot decide whether such flipping occurs simultaneously or not). We also connect this process to polluted bootstrap percolation and solve an open problem on it.

Dynamical random field Ising model at zero temperature

TL;DR

The paper studies the zero-temperature evolution of the RFIM as the external-field mean M increases, comparing ground-state evolution with zero-temperature Glauber dynamics. It establishes a sharp dimension-dependent picture: in 2D there is no global avalanche for any disorder strength, while in d≥3 a disorder-driven phase transition governs the occurrence of global avalanches, with small ε yielding a macroscopic flip and large ε suppressing it. A central methodological contribution is a multi-scale, isoperimetric approach that connects RFIM dynamics to polluted bootstrap percolation, enabling precise probabilistic control of flip sets and triggering times. The work also develops a rigorous polluted bootstrap percolation framework and leverages it to derive threshold results and to solve an open problem in Gravner-Holroyd-3D, with extensions to Glauber dynamics at positive temperature and open questions for higher dimensions. Overall, the paper provides a cohesive, dimension-aware treatment of dynamical RFIM behavior at zero temperature and establishes deep connections to percolation theory and multi-scale energy-change control.

Abstract

In this paper, we study the evolution of the zero-temperature random field Ising model as the mean of the external field increases from to . We focus on two types of evolutions: the ground state evolution and the Glauber evolution. For the ground state evolution, we investigate the occurrence of global avalanche, a moment where a large fraction of spins flip simultaneously from minus to plus. In two dimensions, no global avalanche occurs, while in three or higher dimensions, there is a phase transition: a global avalanche happens when the noise intensity is small, but not when it is large. Additionally, we study the zero-temperature Glauber evolution, where spins are updated locally to minimize the Hamiltonian. Our results show that for small noise intensity, in dimensions or , most spins flip around a critical time (but we cannot decide whether such flipping occurs simultaneously or not). We also connect this process to polluted bootstrap percolation and solve an open problem on it.

Paper Structure

This paper contains 19 sections, 32 theorems, 139 equations, 11 figures.

Key Result

Theorem 1.1

For $d = 2$ and any $\epsilon >0$, there exists a constant $C=C(\epsilon)>0$ such that

Figures (11)

  • Figure 1: An illustration that ${\rm Flip}(M)$ does not intersect any $L$-good box. The subset ${\rm Flip}(M)$ is colored in blue, the boundary of $B_{2L}(u)$ is colored in green and dashed green, and the boundary of $B_{L}(u)$ is colored in red. The change of boundary condition of $B_{2L}(u)$ (the dashed green) affects the configuration in $B_L(u)$, and thus $B_L(u)$ is not $L$-good.
  • Figure 2: An illustration for $\mathbf{C}^{j}$. Plus spins are colored in red and minus spins are colored in blue. The set $\mathbf{C}^1$ is enclosed by the dashed black contour, the set $\mathbf{C}^2$ is enclosed by the dashed orange contour, and the sets $\mathbf{C}^3$ is the part outside the dashed green contour in the figure. In this figure, we have $\mathbf{C}^1 = \mathsf{C}^1$.
  • Figure 3: A spin configuration with a plus global spin cluster. Here we color the plus spins in blue and minus spins in lightblue. Note that there exists a blue cluster such that all the other connected components after removing this cluster have $|\cdot|_{\infty}$-diameters at most $\widetilde{N}$.
  • Figure 4: An illustration of case \ref{['def:good-box-case-b']} for a good $L_n$-box $B(x, L_n)$. The boundary of $B(y, \sqrt{K}L_{n-1})$ is colored in green, and the boundary of $B(y, 3L_{n-1})$ is colored in blue. The bad $L_{n-1}$-boxes, colored in red, are all contained in $B(y, 3L_{n-1})$. Note that we allow bad $L_{n-2}$-boxes to exist in $B(x, L_n)\setminus B(y, 3L_{n-1})$, but they are not illustrated. In the final configuration of $B(x,L_n)$, all the open clusters that intersect $B(y, 3L_{n-1})$ are contained in $B(y, \sqrt{K}L_{n-1})$.
  • Figure 5: An illustration for $d=2$ and $\boldsymbol{k}=(1,1)$. For the (nice) marked box $(B(x,L),y(x))$, the chosen vertex $y(x)$ is colored in red. The oriented shield ${\rm Sh}(x,\boldsymbol{k})$ is also colored in red with $y(x)$ as the corner. The domain $B^+_{\boldsymbol{k}}(x,5^{10d}L)$ is colored in green, and the domain $B^-_{\boldsymbol{k}}(x,5^{10d}L)$ is colored in light purple. The boundary of $\mathsf{R}(y(x))$ is shown with dashed black lines. Although in the two-dimensional case the set $\mathsf{R}(y(x))$ contains ${\rm Sh}(x,\boldsymbol{k})$, this is not true in three dimensions or higher.
  • ...and 6 more figures

Theorems & Definitions (73)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Theorem 1.4
  • Remark 1.5
  • Theorem 1.6: PollutedBP_originalGravner-Holroyd-3D
  • Remark 1.7: Short-range interactions
  • Lemma 2.1
  • proof
  • Lemma 2.2
  • ...and 63 more