1987
DOI: 10.1090/s0002-9947-1987-0896022-5
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Riccati techniques and variational principles in oscillation theory for linear systems

Abstract: ABSTRACT. We consider the seond order differential system (1) Y" + Q(i)Y = 0, where Q, Y are nxn matrices with Q = Q(t) a continuous symmetric matrixvalued function, t € [a,+00).We obtain a number of sufficient conditions in order that all prepared solutions Y(t) of (1) are oscillatory. Two approaches are considered, one based on Riccati techniques and the other on variational techniques, and involve assumptions on the behavior of the eigenvalues of Q{t) (or of its integral). These results extend some well-kno… Show more

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Cited by 75 publications
(9 citation statements)
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“…Self-adjoint linear Hamiltonian matrix systems arise in many dynamical problems and have been studied by many authors (see, for example, [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]). In this paper, we consider linear self-adjoint Hamiltonian matrix systems of the form…”
Section: Introductionmentioning
confidence: 99%
“…Self-adjoint linear Hamiltonian matrix systems arise in many dynamical problems and have been studied by many authors (see, for example, [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]). In this paper, we consider linear self-adjoint Hamiltonian matrix systems of the form…”
Section: Introductionmentioning
confidence: 99%
“…It is well known that (2.24) is oscillatory for γ > 1 4 and non-oscillatory for γ . Applying theorem 2.6 to (2.24), we see that (2.24) is oscillatory for γ > 1 4 (see example 2.14, below). This implies that our results are sharper.…”
Section: )mentioning
confidence: 93%
“…So the results of [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] cannot apply to the system containing the coefficient (2.25). In fact, the system containing the coefficient (2.25) is oscillatory by theorem 2.3.…”
Section: )mentioning
confidence: 99%
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