Boltzmann-Gibbs Random Fields with Mesh-free Precision Operators Based on Smoothed Particle Hydrodynamics
arXiv:2201.10928 · doi:10.1090/tpms/1180
Abstract
Boltzmann-Gibbs random fields are defined in terms of the exponential expression exp(-H), where H is a suitably defined energy functional of the field states x(s). This paper presents a new Boltzmann-Gibbs model which features local interactions in the energy functional. The interactions are embodied in a spatial coupling function which uses smoothed kernel-function approximations of spatial derivatives inspired from the theory of smoothed particle hydrodynamics. A specific model for the interactions based on a second-degree polynomial of the Laplace operator is studied. An explicit, mesh-free expression of the spatial coupling function (precision function) is derived for the case of the squared exponential (Gaussian) smoothing kernel. This coupling function allows the model to seamlessly extend from discrete data vectors to continuum fields. Connections with Gaussian Markov random fields and the Matérn field with are established.
arXiv comment29 pages, 4 figures
References in corpus (6)
- Analytic Properties and Covariance Functions of a New Class of Generalized Gibbs Random Fields
- Stochastic Local Interaction (SLI) Model: Interfacing Machine Learning and Geostatistics
- Radial Covariance Functions Motivated by Spatial Random Field Models with Local Interactions
- Stochastic Local Interaction Model with Sparse Precision Matrix for Space-Time Interpolation
- Non-Parametric Approximations for Anisotropy Estimation in Two-dimensional Differentiable Gaussian Random Fields
- The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running