R E S E A R C H
Open Access
On the hyper exponent of convergence of
zeros of
f
(j)
–
ϕ
of higher order linear
differential equations
Hong-Yan Xu
1*, Jin Tu
2and Xiu-Min Zheng
2*Correspondence:
1Department of Informatics and
Engineering, Jingdezhen Ceramic Institute, Jingdezhen, Jiangxi, 333403, China
Full list of author information is available at the end of the article
Abstract
In this paper, we deal with the relationship between the small function and the derivative of solutions of higher order linear differential equations
f(k)+Ak–1f(k–1)+· · ·+A0f= 0 (k≥2),
whereAj(z) (j= 0, 1,. . .,k– 1) are entire functions or meromorphic functions. The
theorems of this paper improve the previous results given by Chen, Belaïdi, Liu.
MSC: 34M10; 30D35
Keywords: linear differential equation; hyper order; type; small function
1 Introduction and main results
Complex oscillation theory of solutions of linear differential equations in the complex planeCwas started by Bank and Laine [, ]. After their well-known work, many impor-tant results have been obtained on the complex oscillation theory of solutions of linear differential equations inC, refer to [, ].
To state those correlated results, we require to give some explanation as follows. We shall assume that the reader is familiar with the fundamental results and the standard notations of the Nevanlinna value distribution theory of meromorphic functions (see [, , ]). In addition, we will use the notationσ(f) to denote the order of meromorphic functionf(z), λ(f) to denote the exponent of convergence of the zero-sequence off(z) andλ(f) to denote exponent of convergence of distinct zero-sequence of meromorphic functionf(z), andτ(f) to denote the type of an entire functionf(z) with <σ(f) =σ< +∞, which is defined to be (see [])
τ(f) =lim sup
r→∞
logM(r,f)
rσ .
We useσ(f) to denote the hyper-order off(z),σ(f) is defined to be (see [])
σ(f) =lim sup
r→∞
log logT(r,f)
logr .
We useλ(f) (λ(f)) to denote the hyper-exponent of convergence of the zero-sequence
(distinct zero-sequence) of meromorphic functionf(z),λ(f),λ(f) are defined to be (see
[, ])
λ(f) =lim sup
r→∞
log logN(r,f)
logr , and λ(f) =lim supr→∞
log logN(r,f)
logr .
Letϕ(z) be an entire function withσ(ϕ) <σ(f) orσ(ϕ) <σ(f), the hyper-exponent of
convergence of zeros and distinct zeros off(z) –ϕ(z) are defined to be
λ(f –ϕ) =lim sup
r→∞
log logN(r,f–ϕ)
logr , λ(f–ϕ) =lim supr→∞
log logN(r,f–ϕ)
logr ,
especially ifϕ(z) =z, we useλ(f –z) andλ(f –z) to denote the hyper-exponent of
con-vergence of fixed points and distinct fixed points off(z), respectively. We usemE=Edt to denote the linear measure of a setE⊂(, +∞) and usemlE=
E dt
t to denote the loga-rithmic measure of a setE⊂[, +∞). We denote byS(r,f) any quantity satisfying
S(r,f) =oT(r,f),
asr→+∞, possibly outside of a set with finite measure. A meromorphic functionψ(z) is called a small function with respect tof ifT(r,ψ) =S(r,f).
For the second order linear differential equation
f+A(z)f+B(z)f= , ()
whereA(z) andB(z) (≡) are entire functions, it is an interesting problem to investigate the complex oscillation of solutions of Equation (). Many mathematicians obtained a lot of important and significant results (see [, , , , ]) by studying the above equation.
In , Shon [] investigated the hyper-order of the solutions of () and obtained the following result.
Theorem A(see []) Let A(z)and B(z)be entire functions such thatσ(A) <σ(B)orσ(B) <
σ(A) <, then every function f≡of () satisfiesσ(f)≥max{σ(A),σ(B)}.
In , Chen and Shon [] investigated the zeros of the solution concerning small functions and fixed points of solutions of second order linear differential equations and obtained some results as follows.
Theorem B(see []) Let Aj(z)≡(j= , ) be entire functions withσ(Aj) < , suppose that
a, b are complex numbers and satisfy ab= andarga=argb or a=cb ( <c< ). Ifϕ(z)≡ is an entire function of finite order, then every non-trivial solution f of the equation
f+A(z)eazf+A(z)ebzf =
Theorem C(see []) Let A(z)≡,ϕ(z)≡, Q(z)be entire functions withσ(A) < , < σ(Q) <∞andσ(ϕ) <∞, then every non-trivial solution f of the equation
f+A(z)eazf+Q(z)f=
satisfiesλ(f–ϕ) =λ(f–ϕ) =λ(f–ϕ) =∞, where a= is a complex number.
In the same year, Liu and Zhang [] investigated the fixed points when the coefficients of the equations are meromorphic functions and obtained the following result.
Theorem D(see []) Suppose that k≥and A(z)is a transcendental meromorphic
func-tion satisfyingδ(∞,A) =limr→∞Tm((rr,,AA)) =δ> ,σ(A) =σ < +∞. Then every meromorphic solution f ≡of the equation
f(k)+A(z)f = ()
satisfies that f and f,f, . . . ,f(k)all have infinitely many fixed points and λ(f(j)–z) =σ
(j= , , . . . ,k).
For Equation (), Belaïdi [], Belaïdi and El Farissi [] investigated the fixed points and the relationship between small functions and differential polynomials of solutions of Equa-tion () and obtained some results which improve Theorems D and C.
There naturally arises an interesting subject on the problems of fixed points of solutions of the differential equation
f(k)+Ak–f(k–)+· · ·+Af= (k≥), ()
whereAj(z) (j= , , . . . ,k– ) are entire functions.
In this paper, we will deal with the above equation and investigate the relationship be-tween small functions and derivative of solutions of Equation () and obtain some theo-rems which improve the previous results given by Chen, Kwon andetc.
Theorem . Let Aj(z), j= , , . . . ,k– be entire functions with finite order and satisfy one of the following conditions:
(i) max{σ(Aj) :j= , , . . . ,k– }<σ(A) <∞;
(ii) <σ(Ak–) =· · ·=σ(A) =σ(A) <∞andmax{τ(Aj) :j= , , . . . ,k– }=
τ<τ(A) =τ,
then for every solution f ≡of () and for any entire functionϕ(z)≡satisfyingσ(ϕ) < σ(A), we have
λ(f–ϕ) =λ
f–ϕ=λ
f–ϕ=λ
f–ϕ=λ
f(i)–ϕ=σ(f) =σ(A) (i∈N).
Theorem . Let Aj(z), j= , , . . . ,k– be polynomials, A(z)be a transcendental entire
function, then for every solution f ≡of () and for any entire functionϕ(z)of finite order, we have
(i) λ(f–ϕ) =λ(f –ϕ) =σ(f) =∞;
Theorem . Let Aj(z), j= , , . . . ,k– be meromorphic functions satisfyingmax{σ(Aj) : j= , , . . . ,k– }<σ(A)andδ(∞,A) > . Then for every meromorphic solution f ≡of
() and for any meromorphic functionϕ(z)≡satisfyingσ(ϕ) <σ(A), we haveλ(f(i)– ϕ) =λ(f(i)–ϕ)≥σ(A)(i= , , . . .), where f()=f .
Remark . The following example shows that Theorem . is not valid whenAj(z),j=
, , . . . ,k– do not satisfy the conditionmax{σ(Aj) :j= , , . . . ,k– }<σ(A).
Example . For the equation
f+e
z+ez–
–ez f
+ –ez
–ezf = , ()
we can easily get that Equation () has a solutionf(z) =eez+ez. And the functions ez+ez– –ez ,
–ez
–ezare meromorphic and satisfyδ(∞,–e
z
–ez) = . Takeϕ(z) =ez, thenσ(ϕ) <σ(–e
z
–ez). Thus,
we can get thatλ(f–ϕ) =λ(ee
z
ez) = = =σ(–ez
–ez).
From Theorems .-., ifϕ(z) =z, we can get the following corollaries easily.
Corollary . Under the assumptions of Theorem ., ifϕ(z) =z, for every solution f ≡
of (), we have
λ(f –z) =λ
f–z=λ
f–z=λ
f(i)–z=σ(f) =σ(A) (i∈N).
Corollary . Under the assumptions of Theorem ., ifϕ(z) =z, for every solution f ≡
of (), we have
(i) λ(f–z) =λ(f–z) =σ(f) =∞;
(ii) λ(f(i)–z) =λ(f(i)–z) =σ(f(i)–z) =∞(i≥,i∈N).
Corollary . Under the assumptions of Theorem ., ifϕ(z) =z, for every meromorphic
solution f ≡of (), we haveλ(f(i)–z) =λ(f(i)–z)≥σ(A)(i= , , . . .), where f()=f .
Remark . In Theorem B, ifab= anda=cb( <c< ), it is easy to see thatσ(Aeaz) =
σ(Aebz) = andτ(Aeaz) =|a|<τ(Aebz) =|b|. By Theorem ., for every solutionf ≡
of () and for any entire functionϕ(z)≡ withσ(ϕ) < , we haveλ(f–ϕ) =λ(f–ϕ) = λ(f–ϕ) = . Therefore, Theorem . is also a partial extension of Theorem B.
Theo-rem . is the improvement of TheoTheo-rem C. TheoTheo-rem . and Corollary . are the im-provements of Theorem D.
2 Some lemmas
To prove our theorems, we require the following lemmas.
Lemma . Assume f ≡is a solution of Equation (), set g=f –ϕ, then g satisfies the
equation
g(k)+Ak–g(k–)+· · ·+Ag= –
ϕ(k)+Ak–ϕ(k–)+· · ·+Aϕ
Proof Sinceg=f–ϕ, we haveg=f–ϕ, . . . ,g(k)=f(k)–ϕ(k). Substituting them into
Equa-And the derivation of () is
f(k+)+Ak–f(k)+
Substituting () into (), we have
f(k+)+
Substituting () into (), we have
g(k)+
Lemma . Assume f ≡is a solution of Equation (), set g=f–ϕ, then gsatisfies the
equation
g(k)+Uk–g(k–)+· · ·+Ug= –
ϕ(k)+Uk–ϕ(k–)+· · ·+Uϕ, ()
where U
j =Uj+
+U
j – U
UU
j+, j= , , , . . . ,k– and Uk≡.
Proof Sinceg=f–ϕ, we can get
f=g+ϕ, f=g+ϕ, . . . , f(k+)=g (k)
+ϕ(k). ()
The derivation of () is
f(k+)+Uk–f(k+)+Uk–+Uk–f(k)+· · ·+U+Uf+Uf= . ()
Substituting () into (), we have
f(k+)+
Uk––U
U
f(k+)+
Uk–+Uk––U
UU
k–
f(k)
+· · ·+
U+U–U
UU
f= .
()
SetU
j =Uj+
+U
j – U UU
j+,j= , , , . . . ,k– andUk≡, then from () we have
f(k+)+Uk–f(k+)+Uk–f(k)+· · ·+Uf= . ()
Substituting () into (), we can get ().
Thus, this completes the proof of Lemma ..
Lemma . Assume f ≡is a solution of Equation (), set g=f–ϕ, then gsatisfies the
equation
g(k)+Uk–g(k–)+· · ·+Ug= –
ϕ(k)+Uk–ϕ(k–)+· · ·+Uϕ, ()
where Uj=Uj++Uj–U
UU
j+, j= , , , . . . ,k– and Uk≡.
Proof Sinceg=f–ϕ, we have
f=g+ϕ, f()=g+ϕ, . . . , f(k+)=g (k)
+ϕ(). ()
The derivation of () is
Substituting () into (), we have
f(k+)+
Uk––U
U
f(k+)+
Uk–+Uk––U
UU
k–
f(k+)
+· · ·+
U+U–U
UU
f= .
()
SetUj=Uj++Uj–U
UU
j+,j= , , , . . . ,k– andUk≡, then from () we have
f(k+)+Uk–f(k+)+Uk–f(k+)+· · ·+Uf= . ()
Substituting () into (), we can get ().
Thus, we complete the proof of Lemma ..
Lemma . Assume f ≡is a solution of Equation (), set gi=f(i)–ϕ, then gisatisfies the
equation
gi(k)+Uki–gi(k–)+· · ·+Uigi= –
ϕ(k)+Uki–ϕ(k–)+· · ·+Uiϕ, ()
where Ui j=Uji+–
+Ui–
j –
Ui–
Ui–U i–
j+, j= , , , . . . ,k– , Uki–≡and i∈N.
Proof The inductive method will be used to prove it.
At first, from Lemmas .-., we get that () holds fori= , , .
Next, suppose thatgi=f(i)–ϕ,i≤n,n∈Nsatisfy (). Thus,gn=f(n)–ϕsatisfies the equation
gn(k)+Ukn–gn(k–)+· · ·+Ungn= –
ϕ(k)+Ukn–ϕ(k–)+· · ·+Unϕ, ()
whereUjn=Ujn+–+Ujn––Un–
Un– U
n–
j+,j= , , , . . . ,k– andUkn–≡. Sincegn=f(n)–ϕ, we have
f(n+)=gn+ϕ, f(n+)=gn+ϕ, . . . , f(k+n)=gn(k)+ϕ(k). ()
From () and (), we have
f(k+n)+Ukn–f(k+n–)+Ukn–f(k+n–)+· · ·+Unf(n)= . ()
Now we will prove thatgn+=f(n+)–ϕsatisfies (). Sincegn+=f(n+)–ϕ, we have
f(n+)=gn++ϕ, f(n+)=gn++ϕ, . . . , f(n+k+)=gn(k+) +ϕ(k). ()
The derivation of () is
Substituting () into (), we have
This completes the proof of Lemma .. Similar to the proof of [, Lemma .], we can get the following lemma.
Lemma . Let f(z)be a transcendental meromorphic function withσ(f) =σ ≥, then
From ()-(), there exists a setEwith infinite logarithmic measure such that
lim
r→∞
logm(r,Un+ )
logr =rlim→∞
logm(r,Un
)
logr =σ(A) >σ
=lim sup
r→∞
max≤j≤k–{logm(r,Ujn)}
logr ()
=lim sup
r→∞
max≤j≤k–{logm(r,Ujn+)}
logr .
Thus, the proof of Lemma . is completed.
Lemma . Let Hj(z)(j= , , . . . ,k– ) be meromorphic functions of finite order. If
lim sup
r→∞
max≤j≤k–{logm(r,Hj)}
logr =β
and there exists a set Ewith infinite logarithmic measure such that
lim
r→∞
logm(r,H)
logr =β>β
holds for all r∈E, then every meromorphic solution of
f(k)+Hk–f(k–)+· · ·+Hf+Hf = ()
satisfiesσ(f)≥β.
Proof Assume thatf(z) is a meromorphic solution of (). From (), we have
m(r,H)≤m
r,f
(k)
f
+m
r,f
(k–)
f
+· · ·+m
r,f
f
+ k–
j=
m(r,Hj) +O(). ()
By the lemma on logarithmic derivative and (), we have
m(r,H)≤O
logrT(r,f)+ k–
j=
m(r,Hj), r∈/E, ()
whereE⊂[, +∞) is a set with finite linear measure. From the assumptions of Lemma .,
there exists a setEwith infinite logarithmic measure such that for all|z|=r∈E–Ewe
have
rβ–ε≤OlogrT(r,f)+ (k– )rβ+ε, ()
where < ε<β–β. From (), we haveσ(f)≥β.
Lemma .(see []) Let f(z)be a transcendental meromorphic function withσ(f) =σ<
finite logarithmic measure such that for all z satisfying|z|=r∈/[, ]∪Eand(k,j)∈, we
exists a set Ewith infinite logarithmic measure such that
Uji≤exp(τ+ε)rσ
, Ui≥exp(τ–ε)rσ, ()
where i∈Nand j= , , . . . ,k– .
Proof The inductive method will be used to prove it. (i) We first prove thatUi
setEwith infinite logarithmic measure such that
U≥exp
(ii) Next, we show thatUji(j= , , , . . . ,k– ) satisfy () wheni= . FromU
there exists a setEwith infinite logarithmic measure such that
Ui
Lemma . Let Bj(z), j= , , . . . ,k– be meromorphic functions withmax{σ(Bj) :j= , , . . . ,k– }=σ<σ(B) =σandδ(∞,B) =limr→∞mT((rr,,BB)) > . Then every meromorphic
solution f of the equation
f(k)+Bk–f(k–)+· · ·+Bf+Bf = ()
satisfiesσ(f)≥σ.
Proof Letf be a meromorphic solution of Equation (), by (), we have
m(r,B)≤m
r,f
(k)
f
+m
r,f
(k–)
f
+· · ·+m
r,f
f
+ k–
j=
m(r,Bj)
≤OlogrT(r,f)+ k–
j=
T(r,Bj), r∈/E,
()
whereE⊂[, +∞) is a set with finite linear measure. By Lemma ., there exists a setE
with infinite logarithmic measure such that for all|z|=r∈E, we have
lim
r→∞
logT(r,B)
logr =σ, r∈/E. ()
Sinceδ(∞,B) > , then for any givenε( < ε<σ–σ) and for allr∈E, by (), we have
m(r,B)≥rσ–ε. ()
From () and (), we have
rσ–ε≤OlogrT(r,f)+ (k– )rσ+ε, r∈E–E
. ()
From (), we can getσ(f)≥σ=σ(B).
Lemma .(see []) Let f(z)be a transcendental meromorphic function andα> be a
given constant, for any givenε> , there exists a set E⊂[,∞)that has finite logarithmic
measure and a constant M> that depends only onα and(m,n)(m,n∈ {, . . . ,k}with m<n) such that for all z satisfying|z|=r∈/[, ]∪E, we have
ff((mn))(z)(z)
≤M
T(αr,f) r
logαrlogT(αr,f)
n–m .
Lemma . Let Bj(z), j= , , . . . ,k– be meromorphic functions of finite order. If there ex-ist positive constantsσ,β,β( <β<β) and a set Ewith infinite logarithmic measure
such that
maxBj(z):j= , , . . . ,k–
≤expβrσ
, B(z)≥exp
βrσ
Proof Suppose thatf is a meromorphic solution of (), by (), we have
B(z)≤ f(fk)+
k–
j= Bj(z)
ff(j). ()
By Lemma ., there exists a setEwith finite logarithmic measure such that for all|z|=
r∈/E, we have
ff(j)≤MT(r,f)j, j= , , . . . ,k, ()
whereM> is a constant. By (), () and the assumptions of Lemma ., for all|z|= r∈E–E, we have
expβrσ
≤MT(r,f)kexpβrσ
. ()
Since <β<β, by (), we haveσ(f)≥σ.
Lemma .(see []) Let A,A, . . . ,Ak–,F≡be meromorphic functions, if f is a
mero-morphic solution of the equation
f(k)+Ak–f(k–)+· · ·+Af =F,
then we have the following statements:
(i) ifmax{σ(F),σ(Aj);j= , , . . . ,k– }<σ(f) =σ≤ ∞, thenσ(f) =λ(f) =λ(f); (ii) ifmax{σ(F),σ(Aj);j= , , . . . ,k– }<σ(f) =σ, thenσ(f) =λ(f) =λ(f).
Lemma .(see [, Theorem ]) Let Aj(z)(j= , , . . . ,k– ) be entire functions satisfying
<σ(Ak–) =· · ·=σ(A) =σ(A) <∞,max{τ(Aj) :j= , , . . . ,k– }<τ(A) <∞, then
every solution f ≡of () satisfiesσ(f) =σ(A).
3 Proofs of theorems
3.1 The proof of Theorem 1.1
To prove the conclusions of Theorem ., we will consider two cases as follows. Case . Suppose thatmax{σ(Aj) :j= , , . . . ,k– }<σ(A) <∞.
(i) First, we prove thatλ(f –ϕ) =σ(f). Assume thatf ≡ is a solution of (), from
ref. [], we haveσ(f) =σ(A). Setg=f –ϕ. Sinceσ(ϕ) <σ(A), thenσ(g) =σ(f) = σ(A) andλ(g) =λ(f –ϕ). By Lemma ., we get thatg satisfies Equation (). SetF= ϕ(k)+A
k–ϕ(k–)+· · ·+Aϕ. IfF≡, from ref. [], we haveσ(ϕ) =σ(A), we can get a
contradiction. ThenF≡, by Lemma ., we haveλ(g) =λ(g) =σ(g) =σ(A). Thus,
we haveλ(f –ϕ) =λ(f–ϕ) =σ(f) =σ(A).
(ii) Second, we prove thatλ(f–ϕ) =σ(f). Setg=f–ϕ, thenσ(g) =σ(f) =σ(A).
From Lemma ., we get thatgsatisfies Equation (). SetF=ϕ(k)+Uk–ϕ(k–)+· · ·+Uϕ,
whereU
j (j= , , . . . ,k– ) are stated as in Lemma .. IfF≡, from Lemma . and
Lemma ., we haveσ(ϕ)≥σ(A), a contradiction withσ(ϕ) <σ(A). HenceF≡. By
(iii) Now, we prove thatλ(f–ϕ) =σ(f). Setg=f–ϕ, thenσ(g) =σ(f) =σ(A).
From Lemma ., we get thatgsatisfies Equation (). SetF=ϕ(k)+Uk–ϕ(k–)+· · ·+Uϕ,
whereUj(j= , , . . . ,k– ) are stated as in Lemma .. IfF≡, from Lemma . and
Lemma ., we haveσ(ϕ)≥σ(A), a contradiction withσ(ϕ) <σ(A). HenceF≡. By
Lemma ., we getλ(f–ϕ) =λ(f–ϕ) =σ(f).
(iv) Setg=f–ϕ. From Lemmas ., ., . and Lemma ., using the same argument
as in Case (iii), we can getλ(f–ϕ) =λ(f–ϕ) =σ(f) easily.
(v) We will prove thatλ(f(i)–ϕ) =σ(f) (i> ,i∈N). Setgi=f(i)–ϕ, thenσ(gi) =σ(f) = σ(A). From Lemma ., we have gi satisfies Equation (). SetFi=ϕ(k)+Uki–ϕ(k–)+ · · ·+Uiϕ, whereUji(j= , , . . . ,k– ;i∈N) are stated as in Lemma .. IfFi≡, from Lemma . and Lemma ., we haveσ(ϕ)≥σ(A), a contradiction withσ(ϕ) <σ(A).
HenceFi≡. By Lemma ., we getλ(f(i)–ϕ) =λ(f(i)–ϕ) =σ(f).
Case . Suppose that < σ(Ak–) =· · · =σ(A) =σ(A) < ∞ and max{τ(Aj) :j= , , . . . ,k– }=τ<τ(A) =τ.
(i) We first prove that λ(f –ϕ) =σ(f). Assume that f ≡ is a solution of (), by
Lemma ., we have σ(f) =σ(A) > . Setg =f –ϕ. Sinceϕ≡ is an entire
func-tion satisfyingσ(ϕ) <σ(A), then we haveσ(g) =σ(f) =σ(A) and λ(g) =λ(f –ϕ).
From Lemma ., we get thatg satisfies Equation (). We will affirmF≡. IfF≡, by Lemma ., we getσ(ϕ) =σ(A), a contradiction. HenceF≡. From the assumptions
of Theorem ., we get
maxσ(F),σ(Aj) :j= , , . . . ,k–
<σ(g) =σ(A).
From Lemma .(ii), we haveλ(f–ϕ) =λ(f –ϕ) =σ(f) =σ(A).
(ii) Now we prove thatλ(f–ϕ) =σ(f). Letg=f–ϕ. Sinceσ(ϕ) <σ(A), we have σ(g) =σ(f) =σ(A). By Lemma ., we haveg satisfies Equation (). IfF≡, from
Lemma . and Lemma ., we have σ(ϕ)≥σ(A). Then we can get a contradiction
withσ(ϕ) <σ(A). Therefore, we haveF≡. By () and Lemma ., we haveλ(f–ϕ) = λ(f–ϕ) =σ(f) =σ(A).
Similar to the arguments as in Case (iii)-(v) and by using Lemmas .-., . and Lemma ., we can get
λ
f(i)–ϕ=λ
f(i)–ϕ=σ(f) =σ(A) (i∈N).
Thus, the proof of Theorem . is completed.
3.2 The proof of Theorem 1.2
SinceAj(z) (j= , , . . . ,k– ) are polynomials andA(z) is a transcendental entire function,
then we have thatAj(z) (j= , , , . . . ,k– ) satisfy the condition of Theorem .. By using the same argument as in Theorem . and Lemma .(i), we can get the conclusions of Theorem . easily.
Thus, we omit the process of proving Theorem ..
3.3 The proof of Theorem 1.3
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
HYX completed the main part of this article, HYX, JT and XMZ corrected the main theorems. All authors read and approved the final manuscript.
Author details
1Department of Informatics and Engineering, Jingdezhen Ceramic Institute, Jingdezhen, Jiangxi, 333403, China.2Institute
of Mathematics and Informatics, Jiangxi Normal University, Nanchang, Jiangxi, 330022, China.
Acknowledgements
The authors thank the referee for his/her valuable suggestions to improve the present article.
This work was supported by the Natural Science Foundation of Jiang-Xi Province in China (Grant No. 2009GQS0013 and No. 2010GQS0119) and the Youth Foundation of Education Bureau of Jiangxi Province in China (Grant No. GJJ11072).
Received: 17 April 2012 Accepted: 4 July 2012 Published: 20 July 2012
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doi:10.1186/1687-1847-2012-114