Prediction of Multidimensional Time Series by Method of Inverse Spectral Problem

The paper develops a new method for predicting time series by the inverse spectral problem. We show that it is possible to construct differential operator such its eigenvalues coincide with given numerical sequence. gives theoretical justification of proposed method. algorithm finding solution and an example constructing partial derivatives are given. In this paper, we present generalization in case multidimensional series.