Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-11-25
J. Phys. A 17 (2005) S1889-S1898
Physics
Condensed Matter
Disordered Systems and Neural Networks
Dedicated to Lothar Schaefer on the occasion of his 60th birthday. Revised version; some explications added
Scientific paper
In this article, we study an elastic manifold in quenched disorder in the limit of zero temperature. Naively it is equivalent to a free theory with elasticity in Fourier-space proportional to k^4 instead of k^2, i.e. a model without disorder in two space-dimensions less. This phenomenon, called dimensional reduction, is most elegantly obtained using supersymmetry. However, scaling arguments suggest, and functional renormalization shows that dimensional reduction breaks down beyond the Larkin length. Thus one equivalently expects a break-down of supersymmetry. Using methods of functional renormalization, we show how supersymmetry is broken. We also discuss the relation to replica-symmetry breaking, and how our formulation can be put into work to lift apparent ambiguities in standard functional renormalization group calculations.
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