Results 31 to 40 of about 17,806 (305)

Solution of the inverse spectral problem for differential operators on a finite interval with complex weights [PDF]

open access: yesИзвестия Саратовского университета. Новая серия: Математика. Механика. Информатика
Non-self-adjoint second-order ordinary differential operators on a finite interval with complex weights are studied. Properties of spectral characteristics are established, and the inverse problem of recovering operators from their spectral ...
Yurko, Vjacheslav Anatol'evich
doaj   +1 more source

Direct and inverse spectral problems for Dirac systems with nonlocal potentials [PDF]

open access: yesOpuscula Mathematica, 2019
The main purposes of this paper are to study the direct and inverse spectral problems of the one-dimensional Dirac operators with nonlocal potentials. Based on informations about the spectrum of the operator, we find the potential and recover the form of
Kamila Dębowska, Leonid P. Nizhnik
doaj   +1 more source

Etudes for the inverse spectral problem

open access: yesJournal of the London Mathematical Society, 2023
AbstractIn this note, we study inverse spectral problems for canonical Hamiltonian systems, which encompass a broad class of second‐order differential equations on a half‐line. Our goal is to extend the classical results developed in the work of Marchenko, Gelfand–Levitan, and Krein to broader classes of canonical systems and to illustrate the solution
Makarov, Nikolai G., Poltoratski, Alexei
openaire   +4 more sources

Sparse deterministic approximation of Bayesian inverse problems [PDF]

open access: yes, 2011
We present a parametric deterministic formulation of Bayesian inverse problems with an input parameter from infinite-dimensional, separable Banach spaces.
A M Stuart   +5 more
core   +1 more source

Inverse spectral problems for Sturm–Liouville operators with partial information [PDF]

open access: yes, 2014
In this paper, we study the inverse spectral problems for Sturm–Liouville operators with Robin boundary conditions and show that if the potential q on the interval [0,α] for some α∈[0,1) is given a priori, then the potential q on the whole interval [0,1]
Wang, Yu-Ping; Shieh, Chung-Tsun; Ma, Yan-Ting   +1 more
core   +1 more source

A Numerical Method for Inverse Spectral Problems

open access: yesBulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software", 2015
На основе метода Галеркина разработан новый численный метод решения обратных спектральных задач, порожденных дискретными полуограниченными снизу операторами. В отличии от метода решения обратных спектральных задач, основанного на теории регуляризованных следов дискретных полуограниченными снизу операторов, в разработанном методе ослаблены ограничения ...
KADCHENKO S.I., ZAKIROVA G.A.
openaire   +3 more sources

Reconstruction of Higher-Order Differential Operators by Their Spectral Data

open access: yesMathematics, 2022
This paper is concerned with inverse spectral problems for higher-order (n>2) ordinary differential operators. We develop an approach to the reconstruction from the spectral data for a wide range of differential operators with either regular or ...
Natalia P. Bondarenko
doaj   +1 more source

Minimizing the distortions in electrophysiological source imaging of cortical oscillatory activity via Spectral Structured Sparse Bayesian Learning

open access: yesFrontiers in Neuroscience, 2023
Oscillatory processes at all spatial scales and on all frequencies underpin brain function. Electrophysiological Source Imaging (ESI) is the data-driven brain imaging modality that provides the inverse solutions to the source processes of the EEG, MEG ...
Deirel Paz-Linares   +23 more
doaj   +1 more source

Spectral, Scattering and Dynamics: Gelfand–Levitan–Marchenko–Krein Equations

open access: yesMathematics, 2023
In this paper, we consider the Gelfand–Levitan–Marchenko–Krein approach. It is used for solving a variety of inverse problems, like inverse scattering or inverse problems for wave-type equations in both spectral and dynamic formulations.
Sergey Kabanikhin   +3 more
doaj   +1 more source

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