Inversion formula and range conditions for a vector multi-interval finite Hilbert transform in $L^2$

Given $n$ disjoint intervals $I_j$, on $\mathbb{R}$ together with $n$ functions ${\psi }_j\in L^2(I_j)$, $j=1,\dots n$, and an $n\times n$ matrix $\mathrm{\Theta }$, the problem is to find an $L^2$ solution $\vec \varphi= {\rm Col} (\varphi_1,\dots, \varphi_n)$,$\varphi_j \in L^2(I_j)$tothelinearsystem$\chi\Theta \mathcal H \vec \varphi = \vec\psi$,where$\mathcal H = {\rm diag} (\mathcal H_1 ,\dots, \mathcal H_n)$ is a matrix of finite Hilbert transforms and $\chi =\text{diag}({\chi }_1,\dots ,{\chi }_n)$ is a matrix of the corresponding characteristic functions on $I_j$, and $\vec \psi={\rm Col} (\psi_1,\dots,\psi_n)$\mathrm{.}Sincewecaninterpret$\chi\Theta \mathcal H \vec \varphi$ as a generalized vector multi-interval finite Hilbert transform, we call the formula for the solution as “the inversion formula” and the necessary and sufficient conditions for the existence of a solution as the “range conditions”. In this paper we derive the explicit inversion formula and the range conditions in two specific cases: a) the matrix $\mathrm{\Theta }$ is symmetric and positive definite, and; b) all the entries of $\mathrm{\Theta }$ are equal to one. We also prove the uniqueness of solution, that is, that our transform is injective. When the matrix $\mathrm{\Theta }$ is positive definite, the inversion formula is given in terms of the solution of the associated matrix Riemann-Hilbert Problem. We also discuss other cases of the matrix $\mathrm{\Theta }$.