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The use of the inverse problem of spectral analysis to forecast time series. (English) Zbl 1499.35721

Summary: The paper proposes a new method to forecast time series. We assume that a time series is a sequence of eigenvalues of a discrete self-adjoint operator acting in a Hilbert space. In order to construct such an operator, we use the theory of solving inverse problems of spectral analysis. The paper gives a theoretical justification for the proposed method. An algorithm for solving the inverse problem is given. Also, we give an example of constructing a differential operator whose eigenvalues practically coincide with a given time series.

MSC:

35R30 Inverse problems for PDEs
35A01 Existence problems for PDEs: global existence, local existence, non-existence
47A52 Linear operators and ill-posed problems, regularization

References:

[1] “Joint Sessions of the Petrovskii Seminar on Differential Equations and Mathematical Problems of Physics and the Moscow Mathematical Society (Thirteenth session, 2-5 February 1990)“, V. V. Dubrovskiy, V. A. Sadovnichiy, “To the Substantiation of the Method of Calculating the Eigenvalues of a Discrete Operator using Regularized Traces”, pp. 137, Russian Math. Surveys, 45:4 (1990), 127-155 · doi:10.1070/RM1990v045n04ABEH002368
[2] A. I. Sedov, “O suschestvovanii i edinstvennosti resheniya obratnoi zadachi spektralnogo analiza dlya samosopryazhennogo diskretnogo operatora”, Vestn. YuUrGU. Ser. Matem. modelirovanie i programmirovanie, 2008, no. 2, 100-103 · Zbl 1291.47010
[3] A. I. Sedov, “O priblizhennom reshenii obratnoi zadachi spektralnogo analiza dlya stepeni operatora Laplasa”, Vestn. YuUrGU. Ser. Matem. modelirovanie i programmirovanie, 2010, no. 5, 73-78 · Zbl 1227.35246
[4] A. I. Sedov, “Ob obratnoi zadache spektralnogo analiza”, Vestn. YuUrGU. Ser. Matem. modelirovanie i programmirovanie, 2011, no. 7, 91-99 · Zbl 1244.47015
[5] G. A. Zakirova, E. V. Kirillov, “The Existence of Solution of the Inverse Spectral Problem for Discrete Self- Adjoint Semi-Bounded from Below Operator”, J. Comp. Eng. Math., 2:4 (2015), 95-99 · Zbl 1359.35004 · doi:10.14529/jcem150410
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