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Random Field Ising Model and Parisi-Sourlas supersymmetry. Part I. Supersymmetric CFT

Apratim Kaviraj, Slava Rychkov, Emilio Trevisani

2020Journal of High Energy Physics31 citationsDOIOpen Access PDF

Abstract

A bstract Quenched disorder is very important but notoriously hard. In 1979, Parisi and Sourlas proposed an interesting and powerful conjecture about the infrared fixed points with random field type of disorder: such fixed points should possess an unusual supersymmetry, by which they reduce in two less spatial dimensions to usual non-supersymmetric non- disordered fixed points. This conjecture however is known to fail in some simple cases, but there is no consensus on why this happens. In this paper we give new non-perturbative arguments for dimensional reduction. We recast the problem in the language of Conformal Field Theory (CFT). We then exhibit a map of operators and correlation functions from Parisi-Sourlas supersymmetric CFT in d dimensions to a ( d − 2)-dimensional ordinary CFT. The reduced theory is local, i.e. it has a local conserved stress tensor operator. As required by reduction, we show a perfect match between superconformal blocks and the usual conformal blocks in two dimensions lower. This also leads to a new relation between conformal blocks across dimensions. This paper concerns the second half of the Parisi-Sourlas conjecture, while the first half (existence of a supersymmetric fixed point) will be examined in a companion work.

Topics & Concepts

PhysicsConjectureConformal field theoryFixed pointConformal mapIsing modelMathematical physicsField (mathematics)Theoretical physicsSupersymmetrySimple (philosophy)Minimal modelsTensor (intrinsic definition)Central chargeType (biology)Field theory (psychology)Correlation function (quantum field theory)Random fieldSupersymmetric gauge theoryGauge theoryConformal symmetryConformal anomalyConnection (principal bundle)Spectrum (functional analysis)Black Holes and Theoretical PhysicsGeometry and complex manifoldsAlgebraic structures and combinatorial models