Stochastic Quantization for the Edwards Measure of Fractional Brownian Motion with $Hd=1$
Wolfgang Bock, Torben Fattler, Jose Luis da Silva, Ludwig Streit

TL;DR
This paper develops a Markov process with the fractional Edwards measure as its invariant, specifically for fractional Brownian motion with $Hd=1$, using Dirichlet form theory and quasi translation invariance.
Contribution
It introduces a novel construction of a Markov process for fractional Brownian motion with $Hd=1$, overcoming differentiability challenges via quasi translation invariance.
Findings
Constructed a Markov process with fractional Edwards measure as invariant
Proved closability of the Dirichlet form using quasi translation invariance
Extended the theory of stochastic quantization to fractional Brownian motion with $Hd=1$
Abstract
In this paper we construct a Markov process which has as invariant measure the fractional Edwards measure based on a -dimensional fractional Brownian motion, with Hurst index in the case of . We use the theory of classical Dirichlet forms. However since the corresponding self-intersection local time of fractional Brownian motion is not Meyer-Watanabe differentiable in this case, we show the closability of the form via quasi translation invariance of the fractional Edwards measure along shifts in the corresponding fractional Cameron-Martin space.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
