2025/09/16 by Martin Andersson, Benny Avelin, Andersson, Martin +7
Engineering · Mathematics · #60H15 (Secondary) #62G05 (Primary) #FOS: Mathematics #Metallurgical Processes and Thermodynamics #Non-Destructive Testing Techniques #Numerical methods in inverse problems #Statistics Theory (math.ST)
paper · pdf · doi:10.48550/arxiv.2509.12921
openalex publication_date 2025/09/16 · openalex created_date 2025/10/18 · openalex updated_date 2026/07/28
In this article, we introduce a novel non-parametric predictor, based on conditional expectation, for the unknown diffusion coefficient function σ in the stochastic partial differential equation Lu = σ(u)W, where L is a parabolic second order differential operator and W is a suitable Gaussian noise. We prove consistency and derive an upper bound for the error in the Lp norm, in terms of discretization and smoothening parameters h and ε. We illustrate the applicability of the approach and the role of the parameters with several interesting numerical examples.