Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-11-22
Pramana 64 (2005) 817-827
Physics
Condensed Matter
Disordered Systems and Neural Networks
Proceedings of STATPHYS 22
Scientific paper
In these proceedings, we discuss why functional renormalization is an essential tool to treat strongly disordered systems. More specifically, we treat elastic manifolds in a disordered environment. These are governed by a disorder distribution, which after a finite renormalization becomes non-analytic, thus overcoming the predictions of the seemingly exact dimensional reduction. We discuss how a renormalizable field theory can be constructed even beyond 2-loop order. We then consider an elastic manifold embedded in N dimensions, and give the exact solution for N to infinity. This is compared to predictions of the Gaussian replica variational ansatz, using replica symmetry breaking. Finally, the effective action at order 1/N is reported.
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