Unique and Stable Recovery of Space-Variable Order in Multidimensional Subdiffusion

Abstract: In this work we investigate the unique identifiability and stable recovery of a spatially dependent variable-order in the subdiffusion model from the boundary flux measurement. We establish several new unique identifiability results from the observation at one point on the boundary without / with the knowledge of medium properties, and a conditional Lipschitz stability when the observation is available on the whole boundary. The analysis crucially employs resolvent estimates in $L^r(\Omega)$, $r>2$, spaces, solution representation in the Laplace domain and novel asymptotic expansions of the Laplace transform of the boundary flux at $p= 0$ and $p=1$.