Stochastic Quantization of Scalar Theory: Generalized Langevin Equation with Memory Kernel
arXiv:hep-th/0511224 · doi:10.1016/j.physa.2006.07.038
Abstract
We review the method of stochastic quantization for a scalar field theory. We first give a brief survey for the case of self-interacting scalar fields, implementing the stochastic perturbation theory up to the one-loop level. The divergences therein are taken care of by employing the usual prescription of the stochastic regularization, introducing a colored random noise in the Einstein relations. We then extend this formalism to the case where we assume a Langevin equation with a memory kernel. We have shown that, if we also maintain the Einstein's relations with a colored noise, there is convergence to a non-regularized theory.
25 pages
References in corpus (4)
Cited by in corpus (6)
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- Markovian versus non-Markovian stochastic quantization of a complex-action model