Approximate domain Markov property for rigid Ising interfaces
Reza Gheissari, Eyal Lubetzky

TL;DR
This paper establishes an approximate domain Markov property for the low-temperature Ising interface in high dimensions, showing that local interface behavior depends mainly on boundary conditions, with implications for understanding interface fluctuations.
Contribution
The authors extend Dobrushin's rigidity results to conditioned level curves, demonstrating an approximate Markov property and analyzing local interface fluctuations in the Ising model.
Findings
Proved exponential tail bounds for interface height oscillations.
Showed local interface laws depend mainly on boundary size, not detailed configuration.
Established law of large numbers and tightness for interface fluctuations.
Abstract
Consider the Ising model on a centered box of side length in with -boundary conditions that are minus in the upper half-space and plus in the lower half-space. Dobrushin famously showed that in dimensions , at low-temperatures the Ising interface (dual-surface separating the plus/minus phases) is rigid, i.e., it has height fluctuations. Recently, the authors decomposed these oscillations into pillars and identified their typical shape, leading to a law of large numbers and tightness of their maximum. Suppose we condition on a height- level curve of the interface, bounding a set , along with the entire interface outside the cylinder : what does the interface in look like? Many models of random surfaces (e.g., SOS and DGFF) fundamentally satisfy the domain Markov property, whereby…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
