
The truncated matrix Stieltjes moment problem consists in the following: given a sequence \(S_0\), \(S_1\), \(\dots\), \(S_m\) of \(p\times p\) Hermitian matrices, find a positive measure \(d\sigma(x)\) supported by \([0,\infty)\) such that \[ S_k=\int_0^\infty x^k \,d\sigma(x), \quad k=0,1,\dots,m.\tag{1} \] In the scalar case a unified approach both to the even \((m=2n)\) and to the odd \((m=2n-1)\) case was proposed by \textit{M.G.~Kreĭn} [Am. Math. Soc., Transl., II. Ser. 95, 219--234 (1970); translation from Mat. Issled. 2, No. 2, 114--131 (1967; Zbl 0219.44010)]. In the matrix case this problem was investigated by \textit{Yu. Dyukarev} [The matrix Stieltjes moment problem, Manuscript deposited at VINITI, No. 2628, 22.03.1981, Moscow (H) 1981] and \textit{V. Bolotnikov} [Z. Anal. Anwendungen 14 (3), 441--468 (1995; Zbl 0828.47012)] using the Potapov's method in the nondegenerate and degenerate cases, respectively. In the present paper the authors apply the step-by-step process of solving the degenerate moment problem \((1)\) in the indeterminate case. A parametrization of all the solutions of the problem \((1)\) is given both for the even and odd cases. This approach leads to a natural factorization of the corresponding resolvent matrix.
Numerical Analysis, Algebra and Number Theory, Block Hankel matrix, truncated Stieltjes moment problem, Moment problems and interpolation problems in the complex plane, resolvent matrix, Moment problems, step-by-step process, Stieltjes function, Discrete Mathematics and Combinatorics, Stieltjes moment problem, Geometry and Topology, Linear operator methods in interpolation, moment and extension problems, Nevanlinna function, block Hankel matrix
Numerical Analysis, Algebra and Number Theory, Block Hankel matrix, truncated Stieltjes moment problem, Moment problems and interpolation problems in the complex plane, resolvent matrix, Moment problems, step-by-step process, Stieltjes function, Discrete Mathematics and Combinatorics, Stieltjes moment problem, Geometry and Topology, Linear operator methods in interpolation, moment and extension problems, Nevanlinna function, block Hankel matrix
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