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$G$-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 GG-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 GG-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.

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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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R2 v1 2026-06-28T11:36:01.813Z