A DYNAMIC PROGRAMMING APPROACH TO THE PARISI FUNCTIONAL

作者:Jagannath Aukosh; Tobasco Ian
来源:PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY, 2016, 144(7): 3135-3150.
DOI:10.1090/proc/12968

摘要

G. Parisi predicted an important variational formula for the thermodynamic limit of the intensive free energy for a class of mean field spin glasses. In this paper, we present an elementary approach to the study of the Parisi functional using stochastic dynamic programing and semi-linear PDE. We give a derivation of important properties of the Parisi PDE avoiding the use of Ruelle Probability Cascades and Cole-Hopf transformations. As an application, we give a simple proof of the strict convexity of the Parisi functional, which was recently proved by Auffinger and Chen.

  • 出版日期2016-7