# Document 10905414 ```Hindawi Publishing Corporation
Journal of Applied Mathematics
Volume 2012, Article ID 942042, 13 pages
doi:10.1155/2012/942042
Research Article
Some Oscillation Results for Linear
Hamiltonian Systems
Nan Wang and Fanwei Meng
School of Mathematical Sciences, Qufu Normal University, Qufu 273165, China
Correspondence should be addressed to Fanwei Meng, [email protected]
Received 8 September 2011; Accepted 7 December 2011
Copyright q 2012 N. Wang and F. Meng. This is an open access article distributed under the
reproduction in any medium, provided the original work is properly cited.
The purpose of this paper is to develop a generalized matrix Riccati technique for the selfadjoint
matrix Hamiltonian system U AtUBtV , V CtU−A∗ tV . By using the standard integral
averaging technique and positive functionals, new oscillation and interval oscillation criteria are
established for the system. These criteria extend and improve some results that have been required
before. An interesting example is included to illustrate the importance of our results.
1. Introduction
In this paper, we consider oscillatory properties for the linear Hamiltonian system
U AtU BtV,
V CtU − A∗ tV,
t ≥ t0 ,
1.1
where At, Bt, and Ct are real n &times; n matrix-valued functions, B, C are Hermitian, and B
is positive definite. By M∗ , we mean the conjugate transpose of the matrix M, for any n &times; n
Hermitian matrix M.
For any two solutions U1 t, V1 t and U2 t, V2 t of system 1.1, the Wronski
matrix U1∗ tV2 t − V1∗ tU2 t is a constant matrix. In particular, for any solution Ut, V t
of system 1.1, U∗ tVt − V ∗ tUt is a constant matrix.
A solution Ut, V t of system 1.1 is said to be nontrivial if detUt /
0 is fulfilled
for at least one t ≥ t0 . A nontrivial solution Ut, V t of system 1.1 is said to be conjoined
prepared if U∗ tV t − V ∗ tUt ≡ 0, t ≥ t0 . A conjoined solution Ut, V t of system
2
Journal of Applied Mathematics
1.1 is said to be a conjoined basis of system 1.1 if the rank of the 2n &times; n matrix Ut, V tT
is n.
In 2000, Kumari and Umamaheswaram 1, Yang and Cheng 2, and Wang 3 used
the substitution
W1 x ax V xU−1 x fxEn ,
ax exp −2
x
fsds ,
1.2
x0
to study the oscillation of system 1.1. One of the main results in 1 is as follows.
Theorem A. Let D {x, s | x0 ≤ s ≤ x} and D0 {x, s | x0 ≤ s &lt; x}. Let the functions
H ∈ CD, R and h ∈ CD0 , R satisfy the following three conditions:
i Hx, x 0, for x ≥ x0 , Hx, s &gt; 0 on D0 ;
ii H has a continuous and nonpositive partial derivative on D0 with respect to the second
variable;
iii −∂/∂sHx, s hx, s Hx, s, for all x, s ∈ D0 .
If there exists a function f ∈ C1 x0 , ∞ such that
1
lim sup
λ1
Hx,
x0 x→∞
x
{Hx, sT s Fx, s}ds ∞,
1.3
x0
where T x ax−C − fA A∗ f 2 B − f En x, ax exp{−2
identity matrix, and
x
x0
fsds}, En is the n &times; n
Fx, s Hx, s afA A∗ − aA∗ B−1 A s
1
− as hx, s Hx, s fsHx, s A∗ B−1 B−1 A s
2
2
1
hx, s fs Hx, s B−1/2 s − fs Hx, sBs ,
− as
2
1.4
then, system 1.1 is oscillatory.
In 2003, Meng and Mingarelli 4, Wang 3, and Zheng and Zhu 5 studied the
oscillation of system 1.1 by using the substitution
W2 x ax V xU−1 x fxB −1 x ,
ax exp −2
x
fsds .
x0
One of the main results in 4 is as follows.
1.5
Journal of Applied Mathematics
3
Theorem B. Let the functions H ∈ CD, R and h ∈ CD0 , R satisfy (i)–(iii) in Theorem A and,
for all suﬃciently large s ∈ R, lim infx → ∞ Hx, s ≥ 1. Assume that there exist a function f ∈
C1 x0 , ∞ and a monotone subhomogeneous functional q of degree c on S such that
1
lim sup
cq
x → ∞ Hx, x0 x x0
1
2
−1
Hx, sR1 s ash x, sB1 s ds ∞,
4
1.6
where R1 x φ∗ xRxφx, B1 x φ−1 xBxφ∗ x−1 , φx is a fundamental matrix of the
linear equation v Axv, and
Rx ax −C − f A∗ B−1 B−1 A f 2 B−1 − fB−1 x.
1.7
Then, system 1.1 is oscillatory.
In 2004, Sun and Meng 6 also studied the oscillation of system 1.1. One of the main
results in 6 is as follows.
Theorem C. Let H, h be as in Theorem A, and suppose that
Ht, s
0 &lt; inf lim inf
≤ ∞.
s≥t0
t → ∞ Ht, t0 1.8
If there exist a function f ∈ C1 t0 , ∞ and a positive linear functional g on R such that
1
lim inf
t → ∞ Ht, t0 t
g −Ht, s C1 A
t0
1
lim sup
t → ∞ Ht, t0 t
t0
∗
B1−1 A
B1−1 A
s ds &gt; −∞,
h t, sg B1−1 s ds &lt; ∞,
1.9
2
and suppose also that there exists a function m ∈ Ct0 , ∞ such that
lim sup
t→∞
1
Ht, T t 1
g Ht, s C1 A∗ B1−1 A B1−1 A
s − h2 t, sB1−1 s ds,
4
T
1.10
≥ mT ,
for all T ≥ t0 and
∞
t0
m2 t
−1 dt ∞,
g B1 t
1.11
where m t max{mt, 0} and B1 t, C1 t are the same as in Theorem A, then, the system 1.1
is oscillatory.
4
Journal of Applied Mathematics
Recently, Li et al. 7 also studied the oscillation of system 1.1 by using the standard
integral averaging technique and the substitution
W3 t −at Y tX −1 t ftB−1 t ,
t ≥ t0 ,
1.12
where at is as in 1.5. One of the main results in 7 is as follows.
Theorem D. Let H, h be as in Theorem A, and suppose that there exist a function f ∈ C1 t0 , ∞ and
a positive linear functional g on R, for some β ≥ 1, such that
1
lim sup
Ht,
t0 t→∞
t
β 2
∗ −1
−1
−1
g −Ht, s C1 A B1 A B1 A
s − h t, sB1 s ds ∞,
4
t0
1.13
where
−1
B1 t a tBt,
at exp −2
t
fsds ,
−1
∗ −1
−1
2
−1
C1 t at Ct ft B A A B t ftB t − f tB t .
1.14
Then, system 1.1 is oscillatory.
The purpose of this paper is further to improve Theorems A, B, C, and D as well as
other related results regarding the oscillation of the system 1.1, by refining the standard
integral averaging technique and Riccati transformation.
Now we use the general weighted functions from the class H. Let D {t, s | t0 &lt; s ≤
t &lt; ∞} and D0 {t, s | t0 &lt; s &lt; t &lt; ∞}. We say that a continuous function Ht, s : D →
R belongs to the class H if
i Ht, t 0 for t ≥ t0 , Ht, s &gt; 0 on D0 ,
ii H has a continuous and nonpositive partial derivative on D0 with respect to the
second variable,
iii −∂/∂sHt, sks ht, s Ht, sks, for all t, s ∈ D0 , where kt ∈
C1 t0 , ∞, 0, ∞.
We now follow 8 in defining the space S as the real linear spare of all real symmetric
n &times; n matrices. Let g be a linear functional on R, g is said to be positive if gA &gt; 0 whenever
A ∈ S and A &gt; 0.
2. Main Results
In this paper, we need the following lemma.
Lemma 2.1 see 6. If g is a positive linear functional on R, then, for all A, B ∈ R, one has
gA∗ B2 ≤ gA∗ AgB∗ B.
2.1
Journal of Applied Mathematics
5
Theorem 2.2. Let Ht, s ∈ H. If there exist a function b ∈ C1 t0 , ∞, R , a matrix function
ψ ∈ C1 t0 , ∞, S, and a positive linear functional g on R, for some α ≥ 1, such that
1
lim sup
Ht,
t0 t → ∞
t
α
g −Ht, sksT1 s − B1−1 sT2 t, s2 ds ∞,
4
t0
2.2
where B1 t 1/btBt, Dt At − btB1 tψt, F1 s bsC A∗ ψ ψA −
ψBψ ψ s, T1 s F1 B1−1 D D∗ B1−1 D − b /bB1−1 Ds, and T2 t, s ht, s −
Ht, sksb s/bs, then, system 1.1 is oscillatory.
Proof. Assume to the contrary that system 1.1 is nonoscillatory. Then, there exists a
nontrivial prepared solution of Ut, V t such that Ut is nonsingular for all suﬃciently
large t. Without loss of generality, we assume that detUt / 0 for all t ≥ t0 . This allows us to
make a Riccati transformation
Wt −bt V tU−1 t ψt ,
2.3
for all t ≥ t0 . Then, Wt is well defined, Hermitian, and solves the Riccati equation
W t −
∗
b t
1
Wt W ∗ t A − Bψ t A − Bψ tWt −
W ∗ tBtWt F1 t 0,
bt
bt
2.4
on t0 , ∞.
Let B1 t 1/btBt, Dt At − btB1 tψt. So, from 2.4, we have
W t −
b t
Wt W ∗ tDt D∗ tWt − W ∗ tB1 tWt F1 t 0.
bt
2.5
Now by the substitution P t Wt − B1−1 tDt in 2.5, we obtain
P t −
b t
P t − P ∗ tB1 tP t T1 t 0.
bt
2.6
By rearranging the terms, we get
T1 t −P t b t
P t P ∗ tB1 tP t.
bt
2.7
6
Journal of Applied Mathematics
Multiplying 2.7, with t replaced by s, by Ht, sks and integrating from t0 and t, we obtain
−
t
t0
Ht, sksT1 sds
t
b s
P s − P ∗ sB1 sP s ds
Ht, sks P s −
bs
t0
t
b s
ds
P s ht, s Ht, sks − Ht, sks
−Ht, t0 kt0 P t0 bs
t0
t
−
Ht, sksP ∗ sB1 sP sds.
2.8
t0
Taking the linear functional g on both sides of the above equation, we have, for some α ≥ 1,
t
g{−Ht, sksT1 s}ds
t0
−Ht, t0 kt0 gP t0 −
t
t
b s
ds
gP s ht, s Ht, sks − Ht, sks
bs
t0
Ht, sksgP ∗ sB1 sP sds
t0
t
b s
ds
gP s ht, s Ht, sks − Ht, sks
bs
t0
t
−1 2
−
Ht, sks g B1−1 s
gP s ds
≤ −Ht, t0 kt0 gP t0 t0
−Ht, t0 kt0 gP t0 ⎤2
⎡
t −1
αg
B
s
b s ⎥
1
⎢ Ht, sks
gP s −
−
ht, s − Ht, sks
⎦ ds
⎣
2
bs
t0
αgB1−1 s
b s 2
α t −1 g B1 s ht, s − Ht, sks
ds
4 t0
bs
−1 2
α−1 t
Ht, sks g B1−1 s
−
gP s ds
α
t0
α t −1 g B1 s T2 t, s2 ds.
≤ −Ht, t0 kt0 gP t0 4 t0
2.9
So,
t
α
g −Ht, sksT1 s − B1−1 sT2 t, s2 ds ≤ −Ht, t0 kt0 gP t0 .
4
t0
2.10
Journal of Applied Mathematics
7
Taking the upper limit in both sides of 2.10 as t → ∞, we obtain
1
lim sup
Ht,
t0 t→∞
t
α
g −Ht, sksT1 s − B1−1 sT2 t, s2 ds ≤ −kt0 gP t0 ,
4
t0
2.11
which contradicts 2.2. This completes the proof of Theorem 2.2.
Theorem 2.3. Let the functions H, h and b, g be as in Theorem 2.2, and suppose that
Ht, s
0 &lt; inf lim inf
s≥t0
t → ∞ Ht, t0 ≤ ∞.
2.12
If there exists a function φ ∈ Ct0 , ∞, such that, for all t ≥ T ≥ t0 , and for some α ≥ 1,
lim sup
t→∞
1
Ht, T t α
g −Ht, sksT1 s − B1−1 sT2 t, s2 ds ≥ φT ,
4
T
∞
φ2 t
−1 2 dt ∞,
t0 g B1 t k t
2.13
2.14
where φ t max{φt, 0}, B1 t, F1 t, Dt, T1 t, and T2 t, s are the same as in Theorem 2.2,
then, system 1.1 is oscillatory.
Proof. Assume to the contrary that system 1.1 is nonoscillatory. Similar to the proof of
Theorem 2.2, we can obtain, for all t ≥ T ≥ t0 , and for some α ≥ 1,
t α
g −Ht, sksT1 s − B1−1 sT2 t, s2 ds
4
T
t
−1 2
1
α−1
≤ −kT gP T −
Ht, sks g B1−1 s
gP s ds.
α Ht, T T
1
Ht, T 2.15
Taking the upper limit of the above inequation as t → ∞,
t α
g −Ht, sksT1 s − B1−1 sT2 t, s2 ds
4
T
t
−1 2
1
α−1
lim inf
Ht, sks g B1−1 s
≤ −kT gP T −
gP s ds.
α t → ∞ Ht, T T
2.16
1
lim sup
Ht,
T
t→∞
By 2.13, we obtain
−kT gP T ≥ φT 1
α−1
lim inf
α t → ∞ Ht, T t
T
−1 2
Ht, sks g B1−1 s
gP s ds,
2.17
8
Journal of Applied Mathematics
−kT gP T ≥ φT .
2.18
t
−1 2
1
lim inf
Ht, sks g B1−1 s
gP s ds
t → ∞ Ht, t0 t
0
α ≤−
φt0 kt0 gP t0 &lt; ∞.
α−1
2.19
Besides, we have
Now, we claim that
∞ −1 2
g B1−1 s
gP s ds &lt; ∞.
2.20
t0
Suppose to the contrary that
∞ −1 2
g B1−1 s
gP s ds ∞.
2.21
t0
By 2.12, there exists a positive constant ε satisfying
Ht, s
inf lim inf
&gt; ε &gt; 0.
s≥t0
t → ∞ Ht, t0 2.22
And according to the above ε, there exists t1 ≥ t0 such that
t −1 2
1
g B1−1 s
gP s ds &gt; 2 ,
ε
t0
t ≥ t1 .
2.23
Thus,
t
−1 2
Ht, sks g B1−1 s
gP s ds
t0
# s
\$
t
−1 2
1
−1
g B1 ξ
Ht, sksd
gP ξ dξ
Ht, t0 t0
t0
t
2
∂Ht, sks s −1 −1 1
g B1 ξ
−
gP ξ dξ ds
Ht, t0 t0
∂s
t0
t
1
∂Ht, sks
1
ds
−
&gt; 2
∂s
ε Ht, t0 t1
kt1 Ht, t1 2
.
ε Ht, t0 1
Ht, t0 2.24
Journal of Applied Mathematics
9
From 2.22, there exists a t2 ≥ t1 such that, for all t ≥ t2 ,
Ht, t1 &gt; ε.
Ht, t0 2.25
So,
1
Ht, t0 t
−1 2
kt1 .
Ht, sks g B1−1 s
gP s ds &gt;
ε
t0
2.26
Since ε is arbitrary, we get
1
lim inf
t → ∞ Ht, t0 t
t0
−1 2
gP s ds ∞,
Ht, sks g B1−1 s
2.27
which contradicts 2.19. So, 2.20 holds; then, by 2.18 and 2.20, we can obtain
∞
t0
φ2 t
dt ≤
−1
g B1 t k2 t
∞
t0
gP t2
dt &lt; ∞,
g B1−1 t
2.28
which contradicts 2.14. This completes our proof of Theorem 2.3.
Example 2.4. Consider the
linear Hamiltonian system 1.1, where Bt tI2 , Ct −1/t
0 1/t
3
are 2 &times; 2-matrices and B, C are Hermitian.
cos t 3/4t I2 , At −1/t
0
Let Ht, s t − s2 , ht, s 2, bt t, ψt −1/2t2 I2 , and gA a11 ,
where A aij is a 2 &times; 2-matrix. Then, limt → ∞ Ht, s/Ht, t0 t − s2 /t − t0 2 1/2t 1/t
1/4t2 −cos t
−2/t2
,
F
,
1, B1 t I2 , Dt t
−
cos
tI
,
T
t
1
2
2
2
−1/t 1/2t
2/t
1/4t −cos t
√
t
.
2
2
−1
2
lim
t → ∞ 1/t T g{−t − s T s − α/4B1 s2 − t − s1/s }ds &gt; 1/ T φT , and
∞ sup
∞
−1
2
2
φ
t/gB
1 tk tdt t0 1/tdt ∞. According to Theorem 2.3, we get that this
t0
linear system is oscillatory.
t
Remark 2.5. In Theorem 2.2, let bt exp{−2 fsds}, ψt ftB−1 t, kt 1.
Theorem 2.2 reduces to Theorem D. In Theorem 2.3, we obtain the same result in which
we remove the two assumptions 1.9 in Theorem C. Therefore, Theorems 2.2 and 2.3 are
generalizations and improvements of 7, Theorem 2.1 and 6, Theorem 3.
Remark 2.6. The above theorems give rather wide possibilities of deriving diﬀerent explicit
oscillation criteria for system 1.1 with appropriate choices of the functions Ht, s, ks,
and fs. For example,
some useful oscillation criteria if we choose Ht, s x we can obtain
m
m
m
x − s , lnx/s , s dz/θz , or ρx − s, and so forth.
3. Interval Oscillation Criteria
Now we establish interval oscillation criteria of system 1.1, that is, criteria given by the
behavior of system 1.1 only on a sequence of subinterval of t0 , ∞. We assume that a
10
Journal of Applied Mathematics
function H Ht, s satisfying i. Further, we assume that kt 1 and Ht, s has partial
derivatives ∂H/∂t and ∂H/∂s on D such that
∂
Ht, s h1 t, s Ht, s,
∂t
∂
Ht, s −h2 t, s Ht, s,
∂s
3.1
3.2
where h1 , h2 ∈ Lloc D, R.
We first prove two lemmas.
Lemma 3.1. Suppose that Ut, V t is a nontrivial prepared solution of system 1.1 such that
detUt /
0 on a1 , a2 ⊂ t0 , ∞. Then, for any bt ∈ C1 t0 , ∞, R , matrix function ψ ∈
1
C t0 , ∞, S, H satisfies (i), 3.1 and 3.2, and a positive linear functional g on R, one has, for
some α ≥ 1,
1
Ha2 , a1 a2 b t 2
α −1
dt
g −Ht, a1 T1 s − B1 t h1 t, a1 Ht, a1 4
bt
a1
3.3
≤ gP a2 ,
where Wt is defined by 2.3 on a1 , a2 , B1 t, Dt, F1 s, and T1 s are the same as in
Theorem 2.2.
Proof. Since Ut, V t is a nontrivial prepared solution of system 1.1 such that Ut is
nonsingular on a1 , a2 , then, Wt by 2.3 is well defined and solves the Riccati equation
2.7 on a1 , a2 .
On multiplying 2.7 by Ht, s and integrating with respect to t from s to a2 for s ∈
a1 , a2 , we can find
−
a2
s
Ht, sT1 tdt
a2
a2
a2
b t
P tdt −
Ht, sP tdt −
Ht, s
Ht, sP ∗ tB1 tP tdt
bt
s
s
s
a2
b t
dt
Ha2 , sP a2 −
P t h1 t, s Ht, s Ht, s
bt
s
a2
−
Ht, sP ∗ tB1 tP tdt.
s
3.4
Journal of Applied Mathematics
11
Taking the linear functional g on both sides of the above equation, we have, for some α ≥ 1,
a2
g{−Ht, sT1 t}dt
s
a2
b t
dt
gP t h1 t, s Ht, s Ht, s
bt
Ha2 , sgP a2 −
s
a2
−
Ht, sgP ∗ tB1 tP tdt
s
a2
b t
dt
≤ Ha2 , sgP a2 −
gP t h1 t, s Ht, s Ht, s
bt
s
a2
−1 2
−
Ht, s g B1−1 t
gP t dt
s
Ha2 , sgP a2 ⎤2
⎡
a2
−1
αg
B
t
Ht,
s
b t ⎥
1
⎢
gP t −
h1 t, s Ht, s
⎦ dt
⎣
2
bt
−1
s
αgB1 t
b t 2
α a2 −1 g B1 t h1 t, s Ht, s
dt
4 s
bt
a2
−1 2
α−1
−
Ht, s g B1−1 t
gP t dt
α
s
b t 2
α a2 −1 ≤ Ha2 , sgP a2 g B1 t h1 t, s Ht, s
dt.
4 s
bt
3.5
That is,
1
Ha2 , s
a2 b t 2
α −1
dt
g −Ht, sT1 t − B1 t h1 t, s Ht, s
4
bt
s
3.6
≤ gP a2 .
Let s → a1 ,
1
Ha2 , a1 a2 b t 2
α −1
dt
g −Ht, a1 T1 t − B1 t h1 t, a1 Ht, a1 4
bt
a1
3.7
≤ gP a2 .
Lemma 3.2. Suppose that Ut, V t is a nontrivial prepared solution of system 1.1 such
that detUt /
0 on a2 , a3 ⊂ t0 , ∞. Then, for any bt ∈ C1 t0 , ∞, R , matrix function
12
Journal of Applied Mathematics
ψ ∈ C1 t0 , ∞, S, H satisfies (i), 3.1 and 3.2, and a positive linear functional g on R, one
has, for some α ≥ 1,
1
Ha3 , a2 a3 b s 2
α −1
ds
g −Ha3 , sT1 s − B1 s h1 a3 , s Ha3 , s
4
bs
a2
3.8
≤ −gP a2 ,
where Wt is defined by 2.3 on a2 , a3 , B1 t, Dt, F1 s, and T1 s are the same as in
Theorem 2.2.
Proof. Since Ut, V t is a nontrivial prepared solution of system 1.1 such that Ut is
nonsingular on a2 , a3 , then, Wt by 2.3 is well defined and solves the Riccati equation
2.7 on a2 , a3 .
On multiplying 2.7 by Ht, s, integrating with respect to s from a2 to t for t ∈ a2 , a3 ,
and following the proof of Lemma 3.1, we can find
1
Ht, a2 b s 2
α −1
ds
g −Ht, sT1 s − B1 s h1 t, s Ht, s
4
bs
a2
t
3.9
≤ −gP a2 &lt; ∞.
Let t → a3 ,
1
Ha3 , a2 a3 b s 2
α −1
ds
g −Ha3 , sT1 s − B1 s h1 a3 , s Ha3 , s
4
bs
a2
3.10
≤ −gP a2 .
Theorem 3.3. Suppose that there exist some a2 ∈ a1 , a3 ⊂ t0 , ∞, bt ∈ C1 t0 , ∞, R , matrix
function ψ ∈ C1 t0 , ∞, S, H satisfies (i), 3.1 and 3.2, and a positive linear functional g on R
such that, for some α ≥ 1,
a2
b t 2
α −1
−Ht, a1 T1 t − B1 t h1 t, a1 Ht, a1 dt
4
bt
a1
a3
b s 2
1
α −1
−Ha3 , sT1 s − B1 s h1 a3 , s Ha3 , s
ds &gt; 0,
Ha3 , a2 a2
4
bs
1
g
Ha2 , a1 3.11
where B1 t, Dt, F1 s, and T1 s are defined as in Theorem 2.2. Then, for any nontrivial prepared
solution Ut, V t of system 1.1, detUt has at least one zero in a1 , a3 .
Theorem 3.4. If, for each T ≥ t0 , there exist bt ∈ C1 t0 , ∞, R , matrix function ψ ∈
C1 t0 , ∞, S, H satisfies (i), 3.1, 3.2, a positive linear functional g on R and a1 , a2 , a3 ∈ R,
such that T ≤ a1 &lt; a2 &lt; a3 and condition 3.1 holds, where B1 t, Dt, F1 s, and T1 t are defined
as in Theorem 2.2, then, system 1.1 is oscillatory.
In conclusion, we note that the results given here can extend, improve and complement
Theorems A–D, and deal with some cases not covered by known criteria by choosing the
Journal of Applied Mathematics
13
functions H, b, φ, and g. From our results, we can derive a number of easily verifiable
oscillation criteria.
Acknowledgments
This paper was supported by the National Natural Science Foundation of China 11171178,
the National Ministry of Education under Grant 20103705110003, and the Natural Sciences
Foundation of Shandong Province under Grant ZR2009AM011.
References
1 I. S. Kumari and S. Umamaheswaram, “Oscillation criteria for linear matrix Hamiltonian systems,”
Journal of Diﬀerential Equations, vol. 165, no. 1, pp. 174–198, 2000.
2 Q. Yang and S. S. Cheng, “On the oscillation of self-adjoint matrix Hamiltonian systems,” Proceedings
of the Edinburgh Mathematical Society. Series II, vol. 46, no. 3, pp. 609–625, 2003.
3 Q. R. Wang, “Oscillation criteria related to integral averaging technique for linear matrix Hamiltonian
systems,” Journal of Mathematical Analysis and Applications, vol. 295, no. 1, pp. 40–54, 2004.
4 F. Meng and A. B. Mingarelli, “Oscillation of linear Hamiltonian systems,” Proceedings of the American
Mathematical Society, vol. 131, no. 3, pp. 897–904, 2003.
5 Z. W. Zheng and S. M. Zhu, “Oscillatory properties for linear Hamiltonian systems,” Dynamic Systems
and Applications, vol. 13, no. 2, pp. 317–326, 2004.
6 Y. G. Sun and F. W. Meng, “New oscillation criteria for linear matrix Hamiltonian systems,” Applied
Mathematics and Computation, vol. 155, no. 1, pp. 259–268, 2004.
7 L. Li, F. W. Meng, and Z. W. Zheng, “Some new oscillation results for linear Hamiltonian systems,”
Applied Mathematics and Computation, vol. 208, no. 1, pp. 219–224, 2009.
8 P. Hartman, “Oscillation criteria for selfadjoint second-order diﬀerential systems and principal
sectional curvatures,” Journal of Diﬀerential Equations, vol. 34, no. 2, pp. 326–338, 1979.
Operations Research
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Decision Sciences
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Mathematical Problems
in Engineering
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Journal of
Algebra
Hindawi Publishing Corporation
http://www.hindawi.com
Probability and Statistics
Volume 2014
The Scientific
World Journal
Hindawi Publishing Corporation
http://www.hindawi.com
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
International Journal of
Differential Equations
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Volume 2014
http://www.hindawi.com
International Journal of
Combinatorics
Hindawi Publishing Corporation
http://www.hindawi.com
Mathematical Physics
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Journal of
Complex Analysis
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
International
Journal of
Mathematics and
Mathematical
Sciences
Journal of
Hindawi Publishing Corporation
http://www.hindawi.com
Stochastic Analysis
Abstract and
Applied Analysis
Hindawi Publishing Corporation
http://www.hindawi.com
Hindawi Publishing Corporation
http://www.hindawi.com
International Journal of
Mathematics
Volume 2014
Volume 2014
Discrete Dynamics in
Nature and Society
Volume 2014
Volume 2014
Journal of
Journal of
Discrete Mathematics
Journal of
Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com
Applied Mathematics
Journal of
Function Spaces
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Optimization
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
```