Interacting Hysterons with Asymptotically Small or Large Spans
Margot Teunisse, Martin van Hecke
TL;DR
Interacting hysterons model bistable units with hysteresis to capture memory and complex pathways in multistable materials. The authors analyze two physically motivated limits—the large-span limit and the zero-span spin limit—establishing concrete mappings between hysteron and spin descriptions and deriving scaffold-inequality structures that govern transition graphs. In the large-span limit, type-II inequalities dependent on the mean span control state stability and can truncate mixed avalanches, while the scaffold remains governed by type-I inequalities; in the zero-span limit, nontrivial t-graphs require avalanches, and any set of $n$ hysterons can be mimicked by $2n$ spins via two mappings (symmetric and asymmetric pairs), with the asymmetric construction avoiding race conditions. These results connect hysteron- and spin-based models, clarifying when avalanches are essential and offering practical routes to design metamaterials with memory and controlled avalanche dynamics.
Abstract
Models of interacting hysteretic elements, called hysterons, capture the sequential response and complex memory effects in a wide range of complex systems and can guide the design of intelligent metamaterials. However, even simple models with few hysterons feature a bewildering number and variety of behaviors. Here we study the hysteron model in two physically relevant limits, where {the} response {of a hysteron system} is easier to understand. First, when the hysteron span - the gap between its two hysteretic transitions - dominates all other scales, the range of pathways encoded in transition graphs (t-graphs) becomes limited because many avalanches {are} absent. Second, when the hysteron span becomes vanishingly small, hysterons behave as interacting binary spins, {which require avalanches in order to} exhibit nontrivial pathways. Finally we show that hysterons can be mimicked by pairs of strongly interacting spins, {such} that collections of $n$ interacting hysterons can be mapped to $2n$ interacting spins, albeit {via} highly specific interactions. {Altogether,} our work provides a deeper understanding of the role of the hysteron parameters on their collective behavior, and points to connections and differences between spin- and hysteron-based models of complex matter.
