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Research Article | Open Access

On the reducibility of a class of almost-periodic linear Hamiltonian systems and its application in Schrödinger equation

Muhammad Afzal1Tariq Ismaeel2( )Azhar Iqbal Kashif Butt3,2( )Zahid Farooq4Riaz Ahmad5Ilyas Khan6
Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54770, Pakistan
Department of Mathematics, Government College University, Lahore 54000, Pakistan
Department of Mathematics and Statistics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia
Department of Physics, Division of Science and Technology, University of Education, Lahore 54770, Pakistan
Department of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China
Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al-Majmaah, P.O. Box 66, Majmaah 11952, Saudi Arabia
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Abstract

In the present paper, we focus on the reducibility of an almost-periodic linear Hamiltonian system

d X d t = J [ A + ε Q ( t ) ] X , X R 2 d ,

where J is an anti-symmetric symplectic matrix, A is a symmetric matrix, Q ( t ) is an analytic almost-periodic matrix with respect to t, and ε is a parameter which is sufficiently small. Using some non-resonant and non-degeneracy conditions, rapidly convergent methods prove that, for most sufficiently small ε, the Hamiltonian system is reducible to a constant coefficients Hamiltonian system through an almost-periodic symplectic transformation with similar frequencies as Q ( t ). At the end, an application to Schrödinger equation is given.

CLC number: 37K55, 70K40

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AIMS Mathematics
Pages 7471-7489

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Cite this article:
Afzal M, Ismaeel T, Butt AIK, et al. On the reducibility of a class of almost-periodic linear Hamiltonian systems and its application in Schrödinger equation. AIMS Mathematics, 2023, 8(3): 7471-7489. https://doi.org/10.3934/math.2023375

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Received: 27 October 2022
Revised: 26 December 2022
Accepted: 02 January 2023
Published: 15 March 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)