STATISTICAL FIELD THEORY

A 'statistical field theory' is any model in statistical mechanics where the degrees of freedom comprise a field or fields. In other words, the microstates of the system are the different configurations of a field. It is closely related to quantum field theory, which describes the quantum mechanics of fields, and shares with it many phenomena, such as renormalization.
In fact, by performing a Wick rotation from Minkowski space to Euclidean space, many results of statistical field theory can be applied directly to its quantum equivalent. The correlation functions of a statistical field theory are called Schwinger functions, and their properties are described by the Osterwalder–Schrader axioms.
Statistical field theory is also used to describe systems in polymer physics or biophysics, such as polymer films, nanostructured block copolymers[1] or polyelectrolytes[2].

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References



★ ''Statistical Field Theory'' volumes I and II (Cambridge Monographs on Mathematical Physics) by Claude Itzykson, Jean-Michel Drouffe, Publisher: Cambridge University Press; (March 29, 1991) ISBN 0-521-40806-7 ISBN 0-521-40805-9

★ '' The P(φ)2 Euclidean (quantum) field theory. '' by Barry Simon. Princeton Univ Press (June 1974) ISBN 0-691-08144-1

★ ''Quantum Physics: A Functional Integral Point of View'' by James Glimm, Jaffe. Springer; 2nd edition (May 1987) ISBN 0-387-96477-0
1. A new multiscale modeling approach for the prediction of mechanical properties of polymer-based nanomaterials, Baeurle SA, Usami T, Gusev AA, , , Polymer, 2006
2. Challenging scaling laws of flexible polyelectrolyte solutions with effective renormalization concepts, Baeurle SA, Nogovitsin EA, , , Polymer, 2007

External links



Problems in Statistical Field Theory

Discussion forum (read only)

Computation of Statistical Field Theories

Analytical Transformation Methods for reducing the Sign Problem

Numerical Methods for reducing the Sign Problem

Grand Canonical Monte Carlo of Statistical Field Theories

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