The concept of Lindel¨of proximate order has been used extensively to study the functions of completely regular growth. The main drawback of this approach is that it completely ignores the value of lower order. To overcome this problem, Chyzykov et al. introduced the concept of generalized proximate order for irregular growth. In this paper we studied the existence of generalized proximate order for every functions analytic on the unit disc with some new results for functions having irregular growth.
Citation: Devendra Kumar. On the generalized proximate order of functions analytic on the unit disc[J]. AIMS Mathematics, 2024, 9(1): 1116-1127. doi: 10.3934/math.2024055
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The concept of Lindel¨of proximate order has been used extensively to study the functions of completely regular growth. The main drawback of this approach is that it completely ignores the value of lower order. To overcome this problem, Chyzykov et al. introduced the concept of generalized proximate order for irregular growth. In this paper we studied the existence of generalized proximate order for every functions analytic on the unit disc with some new results for functions having irregular growth.
The concept of proximate order was used to obtain a more refined measure of growth of analytic/entire functions. Lindel¨of proximate order ρ(r) has been extensively used in the setting of such problems [5,6,10,11]. They estimate logM(r,f),M(r,f)=max{|f(z)|:|z|=r} by the flexible function v(r)=rρ(r), where ρ(r)→ρM(f), as r approaches one in the case of functions analytic in the unit disc. It is known by Valiron's theorem [5,6,11] that for every entire function of finite order there exists a proximate order ρ(r), such that logM(r,f)≤V(r) for all r and logM(rn,f)=V(rn) for some sequence {rn}→∞. This concept has been used to study the functions of completely regular growth [11]. The main drawback of this approach is that it completely ignores the value of lower order λM(f). There is a notion of lower proximate order λ(r) [5,11] corresponding to finite lower order λM(f). Now the question arises about how to construct a majorant V(r) for logM(r,f) such that, on one hand, it keeps the information about both the order ρM(f) and the lower order λM(f) sufficiently flexible. To solve this problem, Chyzhykov et al. [3] introduced the concept of the generalized proximate order by defining quasi proximate order for ρM(f)≠λM(f)(0≤λM(f)<ρM(f)<∞) and studied the existence of generalized proximate order for functions analytic in unit disc. In this paper we have obtained some new results concerning generalized proximate order of functions analytic in unit disc having irregular growth i.e., ρM(f)≠λM(f) with the existence of generalized proximate order for these functions, but our results and methods are different from those of Chyzhykov et al. [3].
In their scientific literature, Chyzhykov and Semochko [4] have given a general definition of growth for an entire function f in the complex plane that covers arbitrary growth. According to Chyzhykov and Semochko [4], let Φ be the class of positive unbounded increasing function on [1,+∞) such that φ(et) is slowly growing, i.e.,
limt→+∞φ(ect)φ(et)=1,0<c<+∞. |
If φ∈Φ, then
limx→+∞φ−1(logxm)xk=+∞,∀m>0,∀k≥0. | (1.1) |
limx→+∞logφ−1((1+δ)x)logφ−1(x)=+∞,∀δ>0. | (1.2) |
If φ is nondecreasing, then (1.2) is equivalent to the class Φ.
Definition 1.1. [4] Let φ be an increasing unbounded function on [1,+∞), then the orders of growth of an entire function f are defined by
ρ−0φ(f)=lim supr→+∞φ(M(r,f))logr,ρ−1φ(f)=lim supr→+∞φ(logM(r,f))logr. |
Remark 1.1. If φ(r)=loglogr, then it is clear that φ∈Φ. In this case, the above definition of orders coincide with definitions of usual order and hyper-order, i.e., if f is entire, then
ρ−0loglog(f)=lim supr→+∞loglogM(r,f)logr=ρ(f), |
ρ−0logloglog(f)=lim supr→+∞logloglogM(r,f)logr=ρ2(f). |
It has been shown [4] that if φ∈Φ and f is an entire function, then
ρjφ(f)=ρ−jφ(f),j=0,1. |
Chyzhykov and Semochko [4] used the concept of ρφ-orders in order to investigate the growth of solutions of linear differential equations in the complex plane and in the unit disc.
The concept of (p,q)-order and (p,q)-type (p≥q≥1) was introduced by Juneja et al. [7,8] for classifications of order ρ=0 and ρ=∞. This concept is a modification of the classical definition of order and type obtained by replacing logarithms by iterated logarithms, where the degree of iteration is determined by p and q.
According to Sheremeta [12] we have the following definitions.
Let ϕ:[a,+∞)→R be a real valued function such that ϕ(x) is positive, differentiable ∀x∈[a,+∞), strictly increasing and ϕ(x)→∞ as x→∞.
For every real valued function γ(x) such that γ(x)→0 as x→∞,ϕ satisfies
limx→∞ϕ[(1+γ(x))x]ϕ(x)=1, | (1.3) |
then ϕ belongs to class L0. The function ϕ(x) is said to belong to the class Λ if ϕ(x)∈L0 and, in place of (1.3), satisfies the stronger condition
limx→∞ϕ(cx)ϕ(x)=1, | (1.4) |
for all c,0<c<∞. Functions ϕ(x) satisfying (1.4) are called slowly increasing functions (see [12]). Using the generalized functions α,β from classes L0 and Λ, Sheremeta introduced the generalized (α,β)-order and generalized lower (α,β)-lower order of entire functions by equalities
ρ(α,β)=lim supr→∞α(logM(r,f))β(r), |
λ(α,β)=lim infr→∞α(logM(r,f))β(r), |
where M(r,f)=max|z|=r|f(z)|.
For α(x)=β(x)=logx, ρ(α,β) gives the formula for (p,q)=(2,1) of Juneja et al. [7]. For α(x)=log[p−1]x and β(x)=log[q]x, ρ(α,β) and λ(α,β) give the (p,q)-order and lower (p,q)-order introduced by Juneja et al. [7].
An entire function f of order ρ is said to be of completely regular growth if there exists a 2π-periodic function h:R→R which does not vanish identically such that
log|f(reiθ)|=h(θ)rρ+o(rρ) | (1.5) |
as r→∞, for reiθ outside a union of discs {z:|z−zj|<rj} satisfying
∑|zj|≤rrj=o(r) |
as r→∞. One may replace the rρ in (1.5) by rρ(r) with a proximate order ρ(r). If the order and lower order of function f are different, then function f cannot be of completely regular growth. Bergweiler and Chyzhykov [2] gave conditions ensuring that the Julia set and the escaping set of an entire function of completely regular growth have positive Lebesgue measure. Bandura and Skaskiv [1] studied the relationship between the class of entire functions of completely regular growth of order ρ and the class of entire function with bounded l-index. Possible applications of these functions in the analytic theory of differential equations have been considered.
For an analytic function f in the unit disc D={z:|z|<1}, the order and lower order are defined as
ρM(f)=lim supr→1−log+log+M(r,f)−log(1−r),λM(f)=lim infr→1−log+log+M(r,f)−log(1−r), | (1.6) |
(0≤λM(f)<ρM(f)<∞). Chyzhykov et al. [3] defined quasi proximate order as:
For given η∈(0,ρM(f)−λM(f)), there exists λ and its associated function A∗=A∗λ on [0, 1) such that
(1) λ∈C1[0,1);
(2) lim supr→1−λ(r)=ρM(f);
(3) lim infr→1−λ(r)=λM(f)+η;
(4) lim supr→1−−|λ′(r)|(1−r)log(1−r)<∞;
(5) A∗(r)≤(1−r)−λ(r)≤(1+o(1))A∗(r) as r→1−;
(6) A∗ is nondecreasing and A∗(1+r2)≲A∗(r) for all 0≤r<1;
(7) logM(r,f)≤(1−r)−λ(r) for all 0≤r<1.
Further if
(4′)lim supr→1−−|λ′(r)|(1−r)log(1−r)=0;
then λ is a generalized proximate order of f.
It is noted that in condition (3) we cannot replace λM(f)+η by λM(f) without violating the condition lim supr→1−−|λ′(r)|(1−r)log(1−r)<∞; [3, pp. 456]. Every generalized proximate order is a quasi proximate order.
For an analytic function f in the unit disc D={z:|z|<1}, we define
T∗=lim supr→1−log+M(r,f)(1−r)−ρ(r);t∗=lim infr→1−log+M(r,f)(1−r)−ρ(r). |
The numbers T∗ and t∗ are called the type and lower type of functions analytic in D with respect to the proximate order ρ(r). The lower type t∗ completely ignores the value of lower proximate order λ(r). If 0<t∗<∞, then the function λ(r) satisfying (1)-(4′)-(7) is called the generalized proximate order of f.
The following theorem shows that there exists a generalized proximate order for every function, analytic in D and having nonzero finite order.
Theorem 2.1. Let f be a function analytic in D having order ρM(f) and lower order λM(f) such that 0<λM(f)<ρM(f)<∞, then for every t∗,0<t∗<∞, there exists a generalized proximate order of f satisfying (1)-(7)-(4′).
Proof. We first assume
ξ(r)=(1−r)(λM(f)+η)(1−1ρM(f))++1logM(r,f)t∗. |
Put x=−log(1−r) and ξ1(x)=logξ(1−ex), then
limx→∞ξ1(x)x=−(λM(f)+η)(1−1ρM(f))+−1+ρM(f). |
Let lim supx→∞ξ1(x)=∞. Let y=S(x) be the boundary curve of the smallest convex domain containing the curve y=ξ1(x) and the positive ray of the x-axis. After doing suitable modifications in the small neighborhoods of the vertices in this curve, we may assume that the function S(x) is differentiable in 0≤x≤∞. The curve S(x) is concave in the sense that a chord joining any two points of the curve lies below the curve. The curve S(x)x is monotonic decreasing and nonnegative, and this implies that function S(x)xmust tend to a limit as x→∞. Since the curve y=S(x) and y=ξ1(x) have infinitely many common points {xn} such that xn→∞, then
limx→∞S(x)x=−(λM(f)+η)(1−1ρM(f))+−1+ρM(f) | (2.1) |
and
ξ1(x)≤S(x) for all x≥0. | (2.2) |
In view of (2.1), we obtain
limx→∞S′(x)=−(λM(f)+η)(1−1ρM(f))+−1+ρM(f). | (2.3) |
Using (2.2), we get
logM(r,f)≤t∗(1−r)−[(λM(f)+η)(1−1ρM(f))+−1]−S(−log(1−r))−log(1−r). |
Set
λ(r)(1−1ρM(f))++1=(λM(f)+η)(1−1ρM(f))+−1]+S(−log(1−r))−log(1−r). | (2.4) |
Since λ(r) is positive and differentiable in 0≤ro<r<1, it follows that
λ(r)(1−1ρM(f))++1→(λM(f)+η)(1−1ρM(f))++1 as r→1− by (2.2). |
Further,
−(1−r)|λ′(r)|log(1−r)=S′(−log(1−r))−S(−log(1−r))−log(1−r). |
Using (2.2) and (2.3), we obtain
−(1−r)|λ′(r)|log(1−r)→0 as r→1−. |
Finally, by (2.4) and (2.2), we get
logM(r,f)≤t∗(1−r)−λ(r)(1−1ρM(f))+−1 |
for all r in 0≤ro<r<1, and there exists a sequence rn→1 as n→∞ in which
logM(rn,f)=t∗(1−r)−λ(r)(1−1ρM(f))+−1. |
Thus, λ(r) defined by (2.4) is a generalized proximate order.
Theorem 2.2. For every generalized proximate order λ(r)∈C1(0,∞), there exists a generalized proximate order λ1(r)∈C2(0,∞) such that
|logλ(r)λ1(r)|=o[−log(1−r)−1] as r→1−, | (2.5) |
where Cν(0,∞),ν=1,2 is the space of all functions defined on [0,∞) whose νth derivatives are continuous.
Proof. Suppose that λ1(r) and λ(r) are the generalized proximate orders coinciding on the sequence {rn} such that
λ(r)=λ1(r), rn=1−14n, n=0,1,2,…. | (2.6) |
In this case, for r∈[rn,rn+1), we have
|logλ(r)λ1(r)|=|∫rrn[λ′(x)λ(x)−λ′1(x)λ1(x)]dx|=|∫rrno[1(1−x)log(1−x)]dx|=o[loglog(1−rn)log(1−r)]=o[−log(1−r)−1] as r→1−. |
To study the properties of generalized proximate order of a function analytic in unit disc, we need the concept of the slowly increasing function. A real valued function L(r),0<r<1 is said to be slowly increasing if for every k,1<k<∞,
limr→1L(r+1−rk)L(r)=1. | (2.7) |
Theorem 2.3. Let λ(r) be a generalized proximate order of a function f analytic in unit disc and having generalized order λM(f)+η, then
L(r)=(1−r)−λ(r)+λM(f)+η is a slowly increasing function of r in 0<r<1 | (2.8) |
and
(1−r)−λ(r)(1−1ρM(f))+−1 is a monotonically increasing function of r in0≤ro<r<1 and tends to ∞ as r→1−. | (2.9) |
Proof. We have
L(r)=(1−r)−λ(r)+λM(f)+η, |
logL(r)=(−λ(r)+λM(f)+η)log(1−r)=−λ(r)log(1−r)+(λM(f)+η)log(1−r), |
so
L′(r)L(r)=λ′(r)log(1−r)+λ(r)11−r−(λM(f)+η)11−r=λ′(r)log(1−r)+λ(r)−λM(f)−η1−r=(1−r)λ′(r)log(1−r)+λ(r)−λM(f)−η(1−r)=o(11−r), for all values of r sufficiently close to one. |
Therefore,
limr→1logL(r+1−rk)L(r)=0. |
Hence, (2.8) is proved.
In order to prove (2.9), we have
ddr[(1−r)−λ(r)(1−1ρM(f))+−1]=λ(r)(1−r)−λ(r)(1−1ρM(f))+−λ′(r)(1−1ρM(f))+×(1−r)−λ(r)(1−1ρM(f))+−1log(1−r)>(λM(f)+η−ε)(1−r)−λ(r)(1−1ρM(f))+>0, |
since (4′) is satisfied. This proves (2.9).
Theorem 2.4. For (λM(f)+η)(1−1ρM(f))+>α,0<(λM(f)+η)(1−1ρM(f))+<∞ and 0<β<r<1,
∫rβ(1−t)−λ(t)(1−1ρM(f))+−1+αdt=(1−r)−λ(r)(1−1ρM(f))++α(λM(f)+η)(1−1ρM(f))+−α+o(1−r)−λ(r)(1−1ρM(f))++α. |
Proof. Integrating by parts with (λM(f)+η)(1−1ρM(f))+−1>0 as
∫rβ(1−t)−λ(t)(1−1ρM(f))+−1+αdt=∫rβ(1−t)α−[(λM(f)+η)(1−1ρM(f))++1]×(1−t)[λM(f)+η−λ(t)](1−1ρM(f))++1dt=(1−t)−λ(t)(1−1ρM(f))++α(λM(f)+η)(1−1ρM(f))+−α|rβ−∫rβ(1−t)−λ(t)(1−1ρM(f))+−1+α×{−(1−t)λ′(t)((1−1ρM(f))++1)log(1−t)+(λ(t)−λM(f)−η)((1−1ρM(f))++1)}dt. |
From (3) and (4), we have
|λ(t)−λM(f)−η|<ε2 as r→1− |
and
|−(1−t)λ′(t)log(1−t)|<ε2. |
Hence,
∫rβ(1−t)−λ(t)(1−1ρM(f))+−1+αdt=(1−r)−λ(r)(1−1ρM(f))++α(λM(f)+η)(1−1ρM(f))+−α(1+o(1))−o(1)∫rβ(1−t)−λ(t)(1−1ρM(f))+−1+αdt. |
This implies that
∫rβ(1−t)−λ(t)(1−1ρM(f))+−1+αdt=(1−r)−λ(r)(1−1ρM(f))++α(λM(f)+η)(1−1ρM(f))+−α+o(1−r)−λ(r)(1−1ρM(f))++α. |
Hence, the proof is completed.
Let ϕ(r) be a bounded function defined on (0,∞) and λ(r) be a generalized proximate order such that
lim supr→1−ϕ(r)(1−r)−λ(t)(1−1ρM(f))+−1=p, |
lim infr→1−ϕ(r)(1−r)−λ(t)(1−1ρM(f))+−1=q, |
and for α≥1,
lim supr→1−{(1−r)λ(r)(1−1ρM(f))+−α∫rβϕ(r)(1−r)−αdr=s1, |
lim infr→1−{(1−r)λ(r)(1−1ρM(f))+−α∫rβϕ(r)(1−r)−αdr=s2. |
Theorem 2.5. For the constants p,q,s1,s2 defined above, the following inequalities hold.
q(λM(f)+η)(1−1ρM(f))+−α≤s2≤s1≤p(λM(f)+η)(1−1ρM(f))+−α. | (2.10) |
Proof. For given ε>0 and r>ro>β>0,
ϕ(r)<(p+ε)(1−r)−λ(r)(1−1ρM(f))+−1 |
and
∫rβϕ(t)(1−t)−αdt≤o(1)+(p+ε)∫tro(1−t)α−λ(t). |
Using Theorem 2.4, we get
∫rβϕ(t)(1−t)−αdt≤o(1)+(p+ε)(1−r)−λ(r)(1−1ρM(f))++α(λM(f)+η)(1−1ρM(f))+−α+o(1−r)−λ(r)(1−1ρM(f))++α. |
This implies
lim supr→1−{(1−r)λ(r)(1−1ρM(f))+−α∫rβϕ(t)(1−t)−αdt≤p(λM(f)+η)(1−1ρM(f))+−α, |
and it follows the third part of the inequality in (2.10). Similarly, it can be seen that
lim infr→1−{(1−r)λ(r)(1−1ρM(f))+−α∫rβϕ(t)(1−t)−αdt≥q(λM(f)+η)(1−1ρM(f))+−α. |
Hence, the proof is completed.
Let
γ=lim supr→1−ν(r)r(1−r)−λ(r)(1−1ρM(f))+;δ=lim infr→1−ν(r)r(1−r)−λ(r)(1−1ρM(f))+. | (2.11) |
Lemma 2.1. Let f(z)=∑∞n=0anzn be analytic in D, having order ρM(f) and lower order λM(f) such that either 1<λM(f)<ρM(f)<∞ or 0≤λM(f)<ρM(f)≤1 with generalized proximate order λ(r), then
T∗=lim supr→1−μ(r)(1−r)−λ(r)(1−1ρM(f))++1;t∗=lim infr→1−μ(r)(1−r)−λ(r)(1−1ρM(f))++1, | (2.12) |
where μ(r)=maxn≥0{|an|rn}.
Proof. Using inequality 1.4.11 of [6, pp. 31] for 0<ro<r<1, we have
logM(r,f)≤logμ(r)+log[{1+2ν(r+(1−r)ν(r))}11−r]. |
Further, for any ε>0 from (4.5.9) of [6, pp. 45], we have
ν(r),(1−r)−(1+ρM(f)+ε), |
for all r in 0<r1<r<1. Let r′∈max(ro,r1), then for 0<r′<r<1,
logM(r,f)<logμ(r)+(1+ρM(f)+ε)logν(r)ν(r)−1−(2+ρM(f)+ε).log(1−r)+o(1). |
Now dividing by (1−r)−λ(r)(1−1ρM(f))++1 and proceeding the limits as r→1−, we get
T∗≤lim supr→1−μ(r)(1−r)−λ(r)(1−1ρM(f))++1;t∗≤lim infr→1−μ(r)(1−r)−λ(r)(1−1ρM(f))++1. |
The reverse inequalities follows from the relation
μ(r)≤M(r,f). |
Now we prove
Theorem 2.6. Let f be a function analytic in unit disc having generalized proximate order λ(r) and either 1<λM(f)<ρM(f)<∞ or 0≤λM(f)<ρM(f)≤1. Let γ,δ and T∗,t∗ be defined by (2.11) and (2.12), respectively, then
T∗≥δ(λM(f)+η)(1−1ρM(f))++1(k−1k)(λM(f)+η)(1−1ρM(f))++1+γk(k−1k)(λM(f)+η)(1−1ρM(f))++1. |
t∗≥δ(λM(f)+η)(1−1ρM(f))++1(k−1k)(λM(f)+η)(1−1ρM(f))++1+δk(k−1k)(λM(f)+η)(1−1ρM(f))++1. |
Proof. Using (2.11) for given ε>0, we have
ν(r)>(δ−ε)r(1−r)−λ(r)(1−1ρM(f))+ |
for all r in 0<ro(ε)<r<1. For k>1, we have
∫r+(1−r)krν(t)tdt>ν(r)log(1+(1−r)kr>ν(r)(1−r)k. |
From [6, Eq 1.4.10], we get
logμ(r+(1−r)k)=logμ(ro)+∫rroν(t)tdt+∫r+(1−r)krν(t)tdt>logμ(ro)+(δ−ε)∫rro(1−r)−λ(r)(1−1ρM(f))+dt+ν(r)(1−r)k. |
For α=−1, we get from the above inequality
logμ(r+(1−r)k)>logμ(ro)+(δ−ε)(1−r)−λ(r)(1−1ρM(f))++1(λM(f)+η)(1−1ρM(f))++1+o(1−r)−λ(r)(1−1ρM(f))++1. |
Dividing by (kk−1)(λ(r))(1−1ρM(f))++1 and proceeding to limits, we get with Lemma 1.1 that
T∗≥δ(λM(f)+η)(1−1ρM(f))++1(k−1k)(λM(f)+η)(1−1ρM(f))++1+γk(k−1k)(λM(f)+η)(1−1ρM(f))++1. |
t∗≥δ(λM(f)+η)(1−1ρM(f))++1(k−1k)(λM(f)+η)(1−1ρM(f))++1+δk(k−1k)(λM(f)+η)(1−1ρM(f))++1. |
Hence, the proof is completed.
Example 2.1. As an example of Theorem 2.6 and following Kapoor [9], we can find the following inequalities.
For a function f analytic in unit disc having nonzero finite order ρM(f), we have
γ+δ≤((λM(f)+η)(1−1ρM(f)))++2)((λM(f)+η)(1−1ρM(f)))++2)((λM(f)+η)(1−1ρM(f)))++1)((λM(f)+η)(1−1ρM(f)))++1)T∗, |
δ≤((λM(f)+η)(1−1ρM(f)))++1)T∗, |
and the equality cannot simultaneously hold in the above two inequalities. If the equality holds in the first inequality, then t∗=0.
The existence of generalized proximate order for every functions analytic in the unit disc has been proved. Also, to obtain refined measure of growth of analytic/entire functions of irregular growth some new results have been obtained.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
The author is very thankful to the reviewers for taking the time to read the paper carefully and providing fruitful comments for improvements.
The author states no conflict of interest.
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