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Applying Orthogonal Polynomials to the Inversion Problem for the Laplace Integral Transform. / Лебедева, Анастасия Владимировна; Рябов, Виктор Михайлович.

In: Vestnik St. Petersburg University: Mathematics, Vol. 59, No. 3, 10.08.2026, p. 268-277.

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Harvard

Лебедева, АВ & Рябов, ВМ 2026, 'Applying Orthogonal Polynomials to the Inversion Problem for the Laplace Integral Transform', Vestnik St. Petersburg University: Mathematics, vol. 59, no. 3, pp. 268-277. https://doi.org/10.1134/S1063454126700172

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Лебедева, Анастасия Владимировна ; Рябов, Виктор Михайлович. / Applying Orthogonal Polynomials to the Inversion Problem for the Laplace Integral Transform. In: Vestnik St. Petersburg University: Mathematics. 2026 ; Vol. 59, No. 3. pp. 268-277.

BibTeX

@article{bb1802b6cbb641f29f7ab640fd9a42f2,
title = "Applying Orthogonal Polynomials to the Inversion Problem for the Laplace Integral Transform",
abstract = "Abstract: Applying the integral Laplace transform to a wide class of problems leads to a simpler equation with respect to the image of the sought original. The next step is the inversion problem, i.e., finding the original from its image. This step is typically not analytically feasible, necessitating the use of approximate inversion methods. In this case, the approximate solution is represented as a linear combination of the image and its derivatives at a number of points in the complex half-plane in which the image is analytic. However, the original, unlike its image, may even have discontinuity points. Finding frameworks and approximate solutions is reduced to solving systems of linear algebraic equations (SLAE) constructed using classical orthogonal Laguerre, Legendre, and Chebyshev polynomials and their generalizations. SLAE matrices have various properties, which, when taken into account, allow decreasing their condition number as compared to known regularization methods. The results of numerical experiments confirming the effectiveness of the proposed inversion algorithms are presented.",
keywords = "Laplace integral transform, inversion problem, oscillation type matrices, regularization method",
author = "Лебедева, {Анастасия Владимировна} and Рябов, {Виктор Михайлович}",
year = "2026",
month = aug,
day = "10",
doi = "10.1134/S1063454126700172",
language = "English",
volume = "59",
pages = "268--277",
journal = "Vestnik St. Petersburg University: Mathematics",
issn = "1063-4541",
publisher = "Pleiades Publishing",
number = "3",

}

RIS

TY - JOUR

T1 - Applying Orthogonal Polynomials to the Inversion Problem for the Laplace Integral Transform

AU - Лебедева, Анастасия Владимировна

AU - Рябов, Виктор Михайлович

PY - 2026/8/10

Y1 - 2026/8/10

N2 - Abstract: Applying the integral Laplace transform to a wide class of problems leads to a simpler equation with respect to the image of the sought original. The next step is the inversion problem, i.e., finding the original from its image. This step is typically not analytically feasible, necessitating the use of approximate inversion methods. In this case, the approximate solution is represented as a linear combination of the image and its derivatives at a number of points in the complex half-plane in which the image is analytic. However, the original, unlike its image, may even have discontinuity points. Finding frameworks and approximate solutions is reduced to solving systems of linear algebraic equations (SLAE) constructed using classical orthogonal Laguerre, Legendre, and Chebyshev polynomials and their generalizations. SLAE matrices have various properties, which, when taken into account, allow decreasing their condition number as compared to known regularization methods. The results of numerical experiments confirming the effectiveness of the proposed inversion algorithms are presented.

AB - Abstract: Applying the integral Laplace transform to a wide class of problems leads to a simpler equation with respect to the image of the sought original. The next step is the inversion problem, i.e., finding the original from its image. This step is typically not analytically feasible, necessitating the use of approximate inversion methods. In this case, the approximate solution is represented as a linear combination of the image and its derivatives at a number of points in the complex half-plane in which the image is analytic. However, the original, unlike its image, may even have discontinuity points. Finding frameworks and approximate solutions is reduced to solving systems of linear algebraic equations (SLAE) constructed using classical orthogonal Laguerre, Legendre, and Chebyshev polynomials and their generalizations. SLAE matrices have various properties, which, when taken into account, allow decreasing their condition number as compared to known regularization methods. The results of numerical experiments confirming the effectiveness of the proposed inversion algorithms are presented.

KW - Laplace integral transform

KW - inversion problem

KW - oscillation type matrices

KW - regularization method

UR - https://www.mendeley.com/catalogue/fe7aade4-60b1-3c65-902c-c2733c4a22d7/

U2 - 10.1134/S1063454126700172

DO - 10.1134/S1063454126700172

M3 - Article

VL - 59

SP - 268

EP - 277

JO - Vestnik St. Petersburg University: Mathematics

JF - Vestnik St. Petersburg University: Mathematics

SN - 1063-4541

IS - 3

ER -

ID: 160488962