$G$-Gaussian random fields and stochastic quantization under nonlinear expectation
Probability
2024-12-16 v4 Mathematical Physics
math.MP
Abstract
We investigate the application of Parisi-Wu stochastic quantization to the construction of random fields within the sublinear expectation framework. Using the semigroup approach and the infinite dimensional -Ornstein Uhlenbeck process, we derive the unique mild solution to the robust Langevin dynamics of bosonic free field -- a parabolic linear stochastic partial differential equation (SPDE) driven by cylindrical -Brownian motions. Mimicking the linear expectation case, we show the equilibrium distribution of the mild solution is the sublinear expectation analog of the massive Gaussian free field.
Cite
@article{arxiv.2307.10942,
title = {$G$-Gaussian random fields and stochastic quantization under nonlinear expectation},
author = {Haoran Hu},
journal= {arXiv preprint arXiv:2307.10942},
year = {2024}
}
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