A stochastic analysis of subcritical Euclidean fermionic field theories
Francesco C. De Vecchi, Luca Fresta, Massimiliano Gubinelli

TL;DR
This paper introduces a stochastic quantisation method for Grassmann measures using FBSDEs, enabling the construction of subcritical Euclidean fermionic field theories with proven exponential decay of correlations.
Contribution
It presents a novel stochastic approach to fermionic field theories that bypasses technical challenges of traditional flow equation analysis.
Findings
Constructed a family of weakly coupled subcritical Euclidean fermionic field theories
Proved exponential decay of correlations in these theories
Developed a stochastic quantisation framework for Grassmann measures
Abstract
Building on previous work on the stochastic analysis for Grassmann random variables, we introduce a forward-backward stochastic differential equation (FBSDE) which provides a stochastic quantisation of Grassmann measures. Our method is inspired by the so-called continuous renormalisation group, but avoids the technical difficulties encountered in the direct study of the flow equation for the effective potentials. As an application, we construct a family of weakly coupled subcritical Euclidean fermionic field theories and prove exponential decay of correlations.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Theoretical and Computational Physics
