Oscillation Criteria Based on a New Weighted Function for Linear Matrix Hamiltonian Systems

By employing a generalized Riccati technique and an integral averaging technique, some new oscillation criteria are established for the second-order matrix differential system U′=A(x)U+B(t)V, V′=C(x)U−A∗(t)V, where A(t), B(t), and C(t) are (n×n)-matrices, and B, C are Hermitian. These results are sh...

Full description

Saved in:
Bibliographic Details
Main Authors: Yingxin Guo, Junchang Wang
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2011/659503
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849307713048150016
author Yingxin Guo
Junchang Wang
author_facet Yingxin Guo
Junchang Wang
author_sort Yingxin Guo
collection DOAJ
description By employing a generalized Riccati technique and an integral averaging technique, some new oscillation criteria are established for the second-order matrix differential system U′=A(x)U+B(t)V, V′=C(x)U−A∗(t)V, where A(t), B(t), and C(t) are (n×n)-matrices, and B, C are Hermitian. These results are sharper than some previous results.
format Article
id doaj-art-220de1b3ecfc44949da28e2e1b6947be
institution Kabale University
issn 1026-0226
1607-887X
language English
publishDate 2011-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-220de1b3ecfc44949da28e2e1b6947be2025-08-20T03:54:42ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2011-01-01201110.1155/2011/659503659503Oscillation Criteria Based on a New Weighted Function for Linear Matrix Hamiltonian SystemsYingxin Guo0Junchang Wang1College of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, ChinaDepartment of Mathematics, Shangqiu Normal University, Shangqiu, Henan 476000, ChinaBy employing a generalized Riccati technique and an integral averaging technique, some new oscillation criteria are established for the second-order matrix differential system U′=A(x)U+B(t)V, V′=C(x)U−A∗(t)V, where A(t), B(t), and C(t) are (n×n)-matrices, and B, C are Hermitian. These results are sharper than some previous results.http://dx.doi.org/10.1155/2011/659503
spellingShingle Yingxin Guo
Junchang Wang
Oscillation Criteria Based on a New Weighted Function for Linear Matrix Hamiltonian Systems
Discrete Dynamics in Nature and Society
title Oscillation Criteria Based on a New Weighted Function for Linear Matrix Hamiltonian Systems
title_full Oscillation Criteria Based on a New Weighted Function for Linear Matrix Hamiltonian Systems
title_fullStr Oscillation Criteria Based on a New Weighted Function for Linear Matrix Hamiltonian Systems
title_full_unstemmed Oscillation Criteria Based on a New Weighted Function for Linear Matrix Hamiltonian Systems
title_short Oscillation Criteria Based on a New Weighted Function for Linear Matrix Hamiltonian Systems
title_sort oscillation criteria based on a new weighted function for linear matrix hamiltonian systems
url http://dx.doi.org/10.1155/2011/659503
work_keys_str_mv AT yingxinguo oscillationcriteriabasedonanewweightedfunctionforlinearmatrixhamiltoniansystems
AT junchangwang oscillationcriteriabasedonanewweightedfunctionforlinearmatrixhamiltoniansystems