Inverse source problems with reduced interior data for a coupled reaction-diffusion system
Abstract
We consider a two-component semilinear reaction-diffusion system in a bounded spatial domain over a time interval (0,T), which governs the water density u(x,t) and the vegetation biomass density v(x,t) for x∈ and 0<t<T. In this system, called the Klausmeier-Gray-Scott model, we assume that an unknown source depends only on the spatial variable and appears in the reaction-diffusion equation for u. The main subject is the inverse source problem of determining a source term from limited data on (u,v). We establish two kinds of stability estimates by means of Carleman estimates. First, a Carleman estimate with a singular weight yields a Lipschitz stability estimate for the inverse source problem from data consisting of a snapshot u(·,t0) in and (u,v) in a subdomain ω over a time interval. Second, without assuming boundary data, we prove a H\"older stability estimate in any interior subdomain 0 satisfying 0⊂. We further study how much the observation data can be reduced while preserving uniqueness and stability in the inverse problem under suitable additional conditions.
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