Ising model with variable spin/agent strengths
arXiv:2004.05134 · doi:10.1088/2632-072X/abb654
Abstract
We introduce varying spin strengths to the Ising model, a central pillar of statistical physics. With inhomogeneous physical systems in mind, but also anticipating interdisciplinary applications, we present the model on network structures of varying degrees of complexity. We solve it for the generic case of power-law spin strength and find that, with a self-averaging free energy, the model has a rich phase diagram with new universality classes. Indeed, the degree of complexity added by variable spins is on a par to that added by endowing simple networks with increasingly realistic geometries. It is suitable for modeling emergent phenomena in many-body systems in contexts where non-identicality of spins or agents plays an essential role and for exporting statistical physics concepts beyond physics.
arXiv comment7 pages, 1 figure
References in corpus (20)
- Critical phenomena in complex networks
- The physics of brain network structure, function, and control
- Ferromagnetic ordering in graphs with arbitrary degree distribution
- Navigation of brain networks
- Mean field solution of the Ising model on a Barabasi-Albert network
- Complex systems: physics beyond physics
- Potts model on complex networks
- First- and second-order phase transitions in scale-free networks
- A Biased Review of Sociophysics
- Supercondutor-Insulator Transition on Annealed Complex Networks
- How effective is advertising in duopoly markets?
- Medium-range interactions and crossover to classical critical behavior
- Partition function zeros for the Ising model on complete graphs and on annealed scale-free networks
- Magnetization reversal in spin patterns with complex geometry
- Critical behavior of the Ising model in annealed scale-free networks
- Violation of Lee-Yang circle theorem for Ising phase transitions on complex networks
- Quantifying the evolution of a scientific topic: reaction of the academic community to the Chornobyl disaster
- Size and polydispersity effect on the magnetization of densely packed magnetic nanoparticles
- Phase transitions in the Potts model on complex networks
- Entropic equation of state and scaling functions near the critical point in scale-free networks
Cited by in corpus (7)
- Hidden geometry and dynamics of complex networks: Spin reversal in nanoassemblies with pairwise and triangle-based interactions
- Generalized Ising Model on a Scale-Free Network: An Interplay of Power Laws
- SWAP algorithm for lattice spin models
- Individual bias and fluctuations in collective decision making: from algorithms to Hamiltonians
- Emergence of the 3D diluted Ising model universality class in a mixture of two magnets
- Consensus from group interactions: An adaptive voter model on hypergraphs
- Ising model with varying spin strength on a scale-free network: scaling functions and critical amplitude ratios