Higher-dimensional change-set (interface) estimation for discontinuous diffusivity
Sourced from the work of Markus Reiß, Claudia Strauch, Lukas Trottner
§ Problem Statement
Setup
Let , let be a bounded domain with boundary, fix , and fix known constants with . For an unknown measurable set , define the diffusivity
Consider the stochastic parabolic equation (in weak/mild sense)
with boundary condition for , initial condition known, a cylindrical Wiener process on , and a known linear noise operator chosen so the equation is well posed.
This setup follows Reiß et al. (2025).
For each spatial resolution , assume one observes the locally averaged field
where for a known compactly supported kernel with , and . Thus corresponds to increasingly local spatial measurements over fixed time horizon .
Unsolved Problem
Assume belongs to a geometric class (for example, sets whose interface is a compact embedded hypersurface with uniformly bounded curvature/reach and ). The problem is to construct estimators (equivalently ) and determine asymptotic inference limits as , including:
§ Discussion
§ Significance & Implications
The one-dimensional unknown jump location is the simplest instance of a geometric inverse problem. Extending to unknown interfaces broadens applicability and connects SPDE inference with nonparametric boundary estimation in higher dimensions. See Reiß, Strauch, and Trottner (Annals of Statistics, 2025) and subsequent multivariate follow-up work.
§ Known Partial Results
Reiß et al. (2025): Reiß-Strauch-Trottner (Annals of Statistics, 2025) provide the full technical treatment for the 1D single-discontinuity setting. A multivariate follow-up (arXiv:2504.18023; SPA, 2026) gives additional higher-dimensional/interface results under specific assumptions. A fully sharp, fully general minimax and limit-theory characterization across broad geometric classes remains only partially resolved.
§ References
Change Point Estimation for a Stochastic Heat Equation
Markus Reiß, Claudia Strauch, Lukas Trottner (2025)
Annals of Statistics 53(3):1540-1572
📍 Section 4 (Discussion), "Perspectives" paragraph on estimating a higher-dimensional change domain/interface.
Published source paper; preprint available at https://arxiv.org/abs/2307.10960.
Multivariate follow-up on change-set/interface estimation for stochastic heat equations
Unknown (2026)
Stochastic Processes and their Applications (2026)
Post-2023 progress with multivariate/interface results; cited for scoped status update.