2024/02/10 by Te-Chun Wang, Wang, Te-Chun
Economics, Econometrics and Finance · Mathematics · #Stochastic processes and financial applications #Advanced Mathematical Physics Problems #Random Matrices and Applications
paper · pdf · doi:10.48550/arxiv.2402.06874
We consider the mollified versions of the Kardar-Parisi-Zhang (KPZ) equation and the stochastic heat equation (SHE) in high dimensions d≥ 3 and analyze their probability distributions as the mollification is removed. Up to the L2-criticality, we prove Gaussian limits, possibly with random perturbations, for the space-time fluctuations of the mollified versions around their stationarity. This result establishes a continuous analogue of the discrete case obtained by Cosco and Nakajima (2021), and further extends it to a multi-point framework.