Solvability of interior transmission problem for the diffusion equation by constructing its Green function

TL;DR

This paper constructs the first Green function for the parabolic interior transmission problem in diffusion equations, enabling unique solvability and applications in thermography and optical tomography.

Contribution

It introduces a novel method to construct the Green function for the interior transmission problem in diffusion equations, proving its unique solvability.

Findings

Constructed the Green function for the parabolic interior transmission problem.

Proved the unique solvability of the interior transmission problem.

Applied the Green function to inverse problems in thermography and optical tomography.

Abstract

Consider the interior transmission problem arising in inverse boundary value problems for the diffusion equation with discontinuous diffusion coefficients. We prove the unique solvability of the interior transmission problem by constructing its Green function. First, we construct a local parametrix for the interior transmission problem near the boundary in the Laplace domain, by using the theory of pseudo-differential operators with a large parameter. Second, by carefully analyzing the analyticity of the local parametrix in the Laplace domain and estimating it there, a local parametrix for the original parabolic interior transmission problem is obtained via the inverse Laplace transform. Finally, using a partition of unity, we patch all the local parametrices and the fundamental solution of the diffusion equation to generate a global parametrix for the parabolic interior transmission problem, and then compensate it to get the Green function by the Levi method. The uniqueness of the Green function is justified by using the duality argument, and then the unique solvability of the interior transmission problem is concluded. We would like to emphasize that the Green function for the parabolic interior transmission problem is constructed for the first time in this paper. It can be applied for active thermography and diffuse optical tomography modeled by diffusion equations to identify an unknown inclusion and its physical property.