We study the interior problem of tomography. The starting point is the Gelfand-Graev formula, which converts the tomographic data into the finite Hilbert transform (FHT) of an unknown function along a collection of lines. Pick one such line, call it the -axis, and assume that the function to be reconstructed depends on a one-dimensional argument by restricting to the line. Let be the interval where is supported, and be the interval where the Hilbert transform of can be computed using the Gelfand-Graev formula. The equation we study is , where is the FHT that integrates over and gives the result on , i.e. . In the case of the interior problem the tomographic data are truncated, and is no longer a subset of . In this paper we consider the case when the intervals and are adjacent. Here $a_1 < 0 < a_2LH_1$. Using the Titchmarsh-Weyl theory, we show that has only continuous spectrum and obtain two isometric transformations , , such that $U_2 H_1 U_1^*\sigma(\lambda)\lambda\geq(a_1^2+a_2^2)/8\lambda$ is the spectral parameter. Then we show that as exponentially fast. We also obtain the leading asymptotic behavior of the kernels involved in the integral operators , as . When the intervals are symmetric, i.e. , the operators , are obtained explicitly in terms of hypergeometric functions.

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