1998 | OriginalPaper | Chapter
Limiting Behavior of Random Gibbs Measures: Metastates in Some Disordered Mean Field Models
Author : C. Külske
Published in: Mathematical Aspects of Spin Glasses and Neural Networks
Publisher: Birkhäuser Boston
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We present examples of random mean field spin models for which the size dependence of their Gibbs measures μΛ n can be rigorously analyzed. We investigate their ‘empirical metastates’ $$1/N \sum\nolimits_{n = 1}^N {\delta _{\mu \Lambda _n } }$$, introduced by Newman and Stein, along the sequence of finite volumes $$\Lambda _n = \{ 1,\,...,\,n\}$$. The empirical metastate is shown not to converge in our examples if the realization of the disorder is fixed. This phenomenon leads us to consider the distributions w.r.t disorder of the empirical metastates for which we show convergence and give explicit limiting expression.