Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1999-11-22
Physica A, 279 (2000) 159
Physics
Condensed Matter
Disordered Systems and Neural Networks
10 pages (LaTeX); to appear in Physica A
Scientific paper
10.1016/S0378-4371(99)00511-7
We consider zero-temperature, stochastic Ising models with nearest-neighbor interactions and an initial spin configuration chosen from a symmetric Bernoulli distribution (corresponding physically to a deep quench). Whether a final state exists, i.e., whether each spin flips only finitely many times as time goes to infinity (for almost every initial spin configuration and realization of the dynamics), or if not, whether every spin - or only a fraction strictly less than one - flips infinitely often, depends on the nature of the couplings, the dimension, and the lattice type. We review results, examine open questions, and discuss related topics.
Newman Charles M.
Stein Daniel L.
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