Oscillatory and non oscillatory criteria for linear four dimensional hamiltonian systems
G. A. Grigorian

TL;DR
This paper develops criteria to determine when solutions of four-dimensional linear Hamiltonian systems oscillate or not, using the Riccati equation method, and compares these criteria with existing results.
Contribution
It introduces new oscillatory and non-oscillatory criteria for four-dimensional Hamiltonian systems using Riccati equations, expanding the theoretical understanding.
Findings
Established an oscillatory criterion for the systems.
Proved two non-oscillatory criteria.
Compared the new oscillatory criterion with existing results.
Abstract
The Riccati equation method is used for study the oscillatory and non oscillatory behavior of solutions of linear four dimensional hamiltonian systems. An oscillatory and two non oscillatory criteria are proved. On an example the obtained oscillatory criterion is compared with some well known results.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDifferential Equations and Numerical Methods · Numerical methods for differential equations · Advanced Mathematical Modeling in Engineering
MSC 34C10
Oscillatory and non oscillatory criteria for linear
four dimensional hamiltonian systems
G. A. Grigorian
Institute of Mathematics NAS of Armenia
E -mail: [email protected]
Abstract. The Riccati equation method is used for study the oscillatory and non oscillatory behavior of solutions of linear four dimensional hamiltonian systems. An oscillatory and three non oscillatory criteria are proved. On examples the obtained results are compared with some well known ones.
Key words: Riccati equation, oscillation, non oscillation, conjoined (prepared, preferred) solution, Liuville’s formula.
1. Introduction. Let A(t)\equiv\bigl{(}a_{jk}(t)\bigr{)}_{j,k=1}^{2},\phantom{a}B(t)\equiv\bigl{(}b_{jk}(t)\bigr{)}_{j,k=1}^{2},\phantom{a}C(t)\equiv\phantom{a}\bigl{(}c_{jk}(t)\bigr{)}_{j,k=1}^{2},\linebreak t\geq t_{0}, be complex valued continuous matrix functions on and let and be Hermitian, i.e., . Consider the four dimensional hamiltonian system
[TABLE]
Here are the unknown continuously differentiable vector functions on . Along with the system (1.1) consider the linear system of matrix equations
[TABLE]
Where and are the unknown continuously differentiable matrix functions of dimension on .
Definition 1.1. A solution of the system (1.2) is called conjoined (or prepared, preferred) if .
Definition 1.2. A solution of the system (1.1) is called oscillatory if has arbitrary large zeroes.
Definition 1.3 The system (1.1) is called oscillatory if all conjoined solutions of the system (1.2) are oscillatory, otherwise it is called non oscillatory.
Study of the oscillatory and non oscillatory behavior of hamiltonian systems (in particular of the system (1.1)) is an important problem of qualitative theory of differential equations and many works are devoted to it (see e.g., [1 - 10] and cited works therein). For any Hermitian matrix the nonnegative (positive) definiteness of it we denote by ). In the works [1 - 9] the oscillatory behavior of general hamiltonian systems is studied under the condition that the coefficient corresponding to is assumed to be positive definite. In this paper we study the oscillatory and non oscillatory behavior of the system (1.1) in the direction that the assumption may be destroyed.
2. Auxiliary propositions. Let be real valued continuous functions on . Consider the Riccati equations
[TABLE]
[TABLE]
Theorem 2.1. Let Eq. (2.2) has a real valued solution on , and let . Then for each Eq. (2.1) has the solution on with , and .
A proof for a more general theorem is presented in [11] (see also [12]).
Denote: I_{g,h}(\xi;t)\equiv\int\limits_{\xi}^{t}\exp\biggl{\{}-\int\limits_{\tau}^{t}g(s)ds\biggr{\}}h(\tau)d\tau,\phantom{a}t\geq\xi\geq t_{0}. Let and let be a finite or infinite sequence such that We assume that if is finite then the maximum of is equal to and if is infinite then .
Theorem 2.2. Let , and
[TABLE]
Then for every Eq. (2.1) has the solution on satisfying the initial condition and .
See the proof in [12].
Consider the matrix Riccati equation
[TABLE]
The solutions of this equation existing on an interval are connected with solutions of the system (1.2) by relations (see [10]):
[TABLE]
Let be a solution to Eq. (2.3) on .
Definition. We will say that is the maximum existence interval for if cannot be continued to the right of as a solution of Eq. (2.3).
Lemma 2.1. L͡et be a solution of Eq. (2.3) on and let . Then cannot be the maximum existence interval for provided the function , is bounded from below on .
Proof. By analogy of the proof of Lemma 2.1 from [10].
Assume . Then it is not difficult to verify that for Hermitian unknowns Eq. (2.3) is equivalent to the following nonlinear system
[TABLE]
If then it is not difficult to verify that the first equation of the system (2.5) can be rewritten in the form
[TABLE]
and if in addition is continuously differentiable on then by the substitution
[TABLE]
in the first and second equations of the system (2.5) we get the subsystem
[TABLE]
Analogously if then the third equation of the system (2.5) can be rewritten in the form
[TABLE]
and if in addition is continuously differentiable on then by the substitution
[TABLE]
in the second and third equations of the system (2.5) we obtain the subsystem
[TABLE]
If is a solution of the subsystem (2.8) on with and is a solution of the subsystem (2.11) on with then by Cauchi formula from the second equation of the subsystem (2.8) and from the second equation of the subsystem (2.11) we have respectively:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
From here it is easy to derive
Lemma 2.2. Let the functions be continuously differentiable on and let and be solutions of the subsystems (2.8) and (2.11) respectively on such that . Then
[TABLE]
[TABLE]
[TABLE]
[TABLE]
where
[TABLE]
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
Lemma 2.3. For any two square matrices the equality
[TABLE]
is valid.
Proof. We have: The lemma is proved.
3. Main results. Let be real valued continuous functions on . Consider the linear system of equations
[TABLE]
and the Riccati equation
[TABLE]
All solutions of the last equation, existing on some interval are connected with solutions of the system (3.1) by relations (see [13]):
[TABLE]
Definition 3.1. The system (3.1) is called oscillatory if for its every solution the function has arbitrary large zeroes.
Remark 3.1. Some explicit oscillatory criteria for the system (3.1) are proved in [10] amd [14].
3.1. The case when is a diagonal matrix. In this subsection we will assume that . Denote:
[TABLE]
Theorem 3.1. Assume and if then Under these restrictions the system (1.1) is oscillatory provided one of the systems
[TABLE]
*j=1,2, is oscillatory. *
Proof. Suppose the system (1.1) is not oscillatory. Then for some conjoined solution of the system (1.2) there exists such that Due to (2.4) from here it follows that is a Hermitian solution to Eq. (2.3) on . Let Consider the Riccati equations
[TABLE]
[TABLE]
[TABLE]
By (2.6) and (2.9) from the conditions of the theorem it follows that
[TABLE]
[TABLE]
Using Theorem 2.1 to the pairs (3.5), and (3.6), of equations from here we conclude that the equations have solutions on . By (3.1) - (3.3) from here it follows that the systems are not oscillatory which contradicts the condition of the theorem. The obtained contradiction completes the proof of the theorem.
Denote: I_{j}(\xi;t)\equiv\int\limits_{\xi}^{t}\exp\biggl{\{}-\int\limits_{\tau}^{t}2(Rea_{jj}(s))ds\biggr{\}}\chi_{j}(\tau)d\tau,\phantom{a}t\geq\xi\geq t_{0},\phantom{a}j=1,2.
Theorem 3.2. Assume and if then ; there exist infinitely large sequences such that
[TABLE]
. Then the system (1.1) is non oscillatory.
Proof. Let us prove the theorem only in the case when . The case , can be proved by analogy. Let be a conjoined solution of the system (1.2) with and let be the maximum interval such that . Then by (2.4) the matrix function , is a Hermitian solution to Eq. (2.3) on . By (2.5), (2.7), (2.8), (2.10), (2.11) from here it follows that the subsystems (2.8) and (2.11) have solutions and respectively on with . Show that
[TABLE]
Consider the Riccati equations
[TABLE]
[TABLE]
By Theorem 2.2 from the conditions of the theorem it follows that the last equation has a nonnegative solution on Then using Theorem 2.1 to the pair of equations (3.9), (3.10) on the basis of the conditions of the theorem we conclude that Eq. (3.9) has a nonnegative solution on with . Then since is a solution to Eq. (3.9) on and we have (3.8). Show that
[TABLE]
Consider the Riccati equations
[TABLE]
[TABLE]
By Theorem 2.2 from the conditions of the theorem it follows that Eq. (3.12) has a nonnegative solution on with . Then using Theorem 2.1 to the pair of equations (3.12) and (3.13) we derive that Eq. (3.13) has a nonnegative solution on whit . Hence since obviously is a solution of Eq. (3.13) on and we have (3.11). Since from (3.8) and (3.11) it follows:
[TABLE]
To complete the proof of the theorem it remains to show that . Suppose . Then by virtue of Lemma 2.1 from (3.14) it follows that is not the maximum existence interval for . By (2.4) from here it follows that for some . We have obtained a contradiction which completes the proof of the theorem.
Remark 3.2. The conditions are satisfied if in particular .
Denote:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Theorem 3.3. Let the following conditions be satisfied
1)
2) the functions and are continuously differentiable on ;
3) there exist infinitely large sequences such that
[TABLE]
. Then the system (1.1) is non oscillatory.
Proof. Let be the Hermitian solution of Eq. (2.3) on satisfying the initial condition , where is the maximum existence interval for . Due to (2.4) to prove the theorem it is enough to show that
[TABLE]
By (2.5), (2.7), (2.8), (2.10), (2.11) from the conditions 1) and 2) it follows that and are solutions of the subsystems (2.8) and (2.11) respectively on . Show that
[TABLE]
Suppose it is not so. Then there exists such that
[TABLE]
Without loss of generality we may take that . Then by virtue of Lemma 2.2 from (3.17) it follows that
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Hence
[TABLE]
[TABLE]
By virtue of Theorem 2.1 and Theorem 2.2 from here and from the condition 3) it follows that the Riccati equations
[TABLE]
[TABLE]
have nonnegative solutions and respectively on with . Obviously and are solutions of Eq. (3.18) and (3.19) respectively on . Therefore since due to uniqueness theorem which contradicts (3.17). The obtained contradiction proves (3.16). From (3.16) and 1) it follows that
[TABLE]
Suppose . Then by Lemma 2.1 from (3.20) it follows that is not the maximum existence interval for which contradicts our assumption. The obtained contradiction proves (3.15). The theorem is proved.
Remark 3.3. The conditions 3) of Theorem 3.3 are satisfied if in particular
3.2. The case when is nonnegative definite. In this subsection we will assume that is nonnegative definite and is continuously differentiable on . Consider the matrix equation
[TABLE]
Obviously this equation has always a solution on when . It may have also a solution on in some cases when (e.g., In this subsection we also will assume that Eq. (3.21) has always a solution on . Let be a solution of Eq. (3.21) on . Denote:
[TABLE]
.
Corollary 3.1. The system (1.1) is oscillatory provided one of the equations
[TABLE]
is oscillatory.
Proof. Multiply Eq. (2.3) at left and at right by . Taking into account the equality we obtain
[TABLE]
where . To this equation corresponds the following matrix hamiltonian system
[TABLE]
Suppose the system (1.1) is not oscillatory. Then by (2.4) Eq. (2.3) has a Hermitian solution on for some . Therefore is a hermitian solution of Eq. (3.24) on and hence the system (3.25) has a conjoined solution such that It means that the hamiltonian system
[TABLE]
is not oscillatory. By Theorem 3.1 from here it follows that the scalar systems
[TABLE]
are not oscillatory. Therefore the corresponding equations are not oscillatory, which contradicts the conditions of the corollary. The corollary is proved.
Denote:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Theorem 3.4. Let the following conditions be satisfied:
**
* Eq. (3.21) has a solution on *
* the functions and , defined by (3.22) are continuously differentiable on ;*
4’) there exist infinitely large sequences such that
[TABLE]
. Then the system (1.1) is non oscillatory.
Proof. Let be the Hermitian solution of Eq. (2.3) satisfying the initial condition , and let be the maximum existence interval for . Then is a soluyion of Eq. (3.24) on . Without loss of generality we may assume that . Then , and by analogy of the proof of Theorem 3.3 we can show that from the conditions of the theorem it follows that
[TABLE]
By virtue of Lemma 2.3 we have: . From here and from (3.26) it follows:
[TABLE]
To complete the proof of the theorem it remains to show that . Suppose . Then by virtue of Lemma 2.2 from (3.27) it follows that is not the maximum existence interval for which contradicts our assumption. The obtained contradiction shows that . The theorem is proved.
Example 3.1. Consider the second order vector equation
[TABLE]
where are some real constants such that and are rational independent. This equation is equivalent to the system (1.1) with . Hence by Theorem 3.1 Eq. (3.28) is oscillatory provided is oscillatory the following scalar system
[TABLE]
This system is equivalent to the second order scalar equation
[TABLE]
which is oscillatory (see [15]). Therefore Eq. (3.28) is oscillatory. It is not difficult to verify that the results of works [16 -20] are not applicable to Eq. (3.28).
Example 3.2. Let
[TABLE]
Then and is a solution of Eq. (3.21), on ,
[TABLE]
[TABLE]
Assume
[TABLE]
Then taking into account (3.30) and (3.31) we have: Therefore by Corollary 3.1 under the restrictions (3.29) and (3.32) the system (1.1) is oscillatory provided the scalar equation
[TABLE]
is oscillatory.
Assume now:
[TABLE]
. Then taking into account (3.30) and (3.31) it is not difficult to verify that Hence by Theorem 3.4 under the restrictions (3.29) and (3.33) the system (1.1) is non oscillatory.
Let now we assume:
is increasing and continuously differentiable on ;
Then taking into account (3.30) and (3.31) it is not difficult to verify that Therefore by virtue of Theorem 3.4 under the restrictions (3.29) and the system (1.1) is non oscillatory.
Remark 3.4. Since under the restriction (3.29) the results of works [1 -9] are not applicable to the system (1.1) with (3.29).
References
-
L. Li, F. Meng and Z. Zheng, Oscillation Results Related to Integral Averaging Techniquea for Linear Hamiltonian Systems, Dynamic Systems and Applications 18 (2009), aa pp. 725 - 736.
-
F. Meng and A. B. Mingarelli, Oscillation of Linear Hamiltonian Systems, Proc. Amer.a Math. Soc. Vol. 131, Num. 3, 2002, pp. 897 - 904.
-
Q. Yang, R. Mathsen and S. Zhu, Oscillation Theorems for Self-Adjoint Matrix a Hamiltonian Systems. J. Diff. Equ., 19 (2003), pp. 306 - 329.
-
Z. Zheng and S. Zhu, Hartman Type Oscillatory Criteria for Linear Matrix Hamiltonian a Systems. Dynamic Systems and Applications, 17 (2008), pp. 85 - 96.
-
Z. Zheng, Linear transformation and oscillation criteria for Hamiltonian systems. a J. Math. Anal. Appl., 332 (2007) 236 - 245.
-
I. S. Kumary and S. Umamaheswaram, Oscillation Criteria for Linear Matrix a Hamiltonian Systems, Journal of Differential Equations, 165, 174 - 198 (2000).
-
Sh. Chen, Z. Zheng, Oscillation Criteria of Yan Type for Linear Hamiltonian Systems, a Computers and Mathematics with Applications, 46 (2003), 855 - 862.
-
Y. G. Sun, New oscillation criteria for linear matrix Hamiltonian systems. J. Math. a Anal. Appl., 279 (2003) 651 - 658.
-
K. I. Al - Dosary, H. Kh. Abdullah and D. Husein. Short note on oscillation of matrix a hamiltonian systems. Yokohama Mathematical Journal, vol. 50, 2003.
-
G. A. Grigorian, Oscillatory and Non Oscillatory Criteria for the Systems of Two aa Linear First Order Two by Two Dimensional Matrix Ordinary Differential Equations. aa Archivum Mathematicum, Tomus 54 (2018), PP. 189 - 203.
-
G. A. Grigorian. On Two Comparison Tests for Second-Order Linear Ordinaryaa Differential Equations (Russian) Differ. Uravn. 47 (2011), no. 9, 1225 - 1240; trans-aa lation in Differ. Equ. 47 (2011), no. 9 1237 - 1252, 34C10.
-
G. A. Grigorian, "Two Comparison Criteria for Scalar Riccati Equations withaa Applications". Russian Mathematics (Iz. VUZ), 56, No. 11, 17 - 30 (2012).
-
G. A. Grigorian, On the Stability of Systems of Two First - Order Linear Ordinaryaa Differential Equations, Differ. Uravn., 2015, vol. 51, no. 3, pp. 283 - 292.
-
G. A. Grigorian. Oscillatory Criteria for the Systems of Two First - Order Lineara Ordinary Differential Equations. Rocky Mountain Journal of Mathematics, vol. 47,a Num. 5, 2017, pp. 1497 - 1524
-
G. A. Grigorian, On one Oscillatory Criterion for The Second Order Linear Ordinary a Differential Equations. Opuscula Math. 36, Num. 5 (2016), 589–601.
a http://dx.doi.org/10.7494/OpMath.2016.36.5.589
-
L. H. Erbe, Q. Kong and Sh. Ruan, Kamenev Type Theorems for Second Order Matrixaa Differential Systems. Proc. Amer. Math. Soc. Vol. 117, Num. 4, 1993, 957 - 962.
-
R. Byers, B. J. Harris and M. K. Kwong, Weighted Means and Oscillation Conditionsa for Second Order Matrix Differential Equations. Journal of Differential Equationsa 61, 164 - 177 (1986).
-
G. J. Butler, L. H. Erbe and A. B. Mingarelli, Riccati Techniques and Variationalaa Principles in Oscillation Theory for Linear Systems, Trans. Amer. Math. Soc. Vol. 303,aa Num. 1, 1987, 263 - 282.
-
A. B. Mingarelli, On a Conjecture for Oscillation of Second Order Ordinary Differentialaa Systems, Proc. Amer. Math. Soc., Vol. 82. Num. 4, 1981, 593 - 598.
-
Q. Wang, Oscillation Criteria for Second Order Matrix Differential Systems Proc.aa Amer. Math. Soc. Vol. 131, Num. 3, 2002, 897 - 904.
