axioms

Article Slice Holomorphic Functions in Several Variables with Bounded L-Index in Direction

Andriy Bandura 1,* and Oleh Skaskiv 2 1 Department of Advanced , Ivano-Frankivsk National Technical University of Oil and Gas, 76019 Ivano-Frankivsk, Ukraine 2 Department of Mechanics and Mathematics, Ivan Franko National University of Lviv, 79000 Lviv, Ukraine * Correspondence: [email protected]

 Received: 25 June 2019; Accepted: 25 July 2019; Published: 26 July 2019 

Abstract: In this paper, for a given direction b ∈ Cn \{0} we investigate slice entire functions of several complex variables, i.e., we consider functions which are entire on a complex line {z0 + tb : t ∈ C} for any z0 ∈ Cn. Unlike to quaternionic analysis, we fix the direction b. The usage of the term slice entire is wider than in quaternionic analysis. It does not imply joint holomorphy. For example, it allows consideration of functions which are holomorphic in variable z1 and continuous in variable z2. For this class of functions there is introduced a concept of boundedness of L-index n in the direction b where L : C → R+ is a positive continuous function. We present necessary and sufficient conditions of boundedness of L-index in the direction. In this paper, there are considered local behavior of directional and maximum modulus on a circle for functions from this class. Also, we show that every slice holomorphic and joint continuous function has bounded L-index n in direction in any bounded domain and for any continuous function L : C → R+.

Keywords: bounded index; bounded L-index in direction; slice function; entire function; bounded l-index

MSC: 32A10; 32A17; 32A37; 30H99; 30A05

1. Introduction In recent years, analytic functions of several variables with bounded index have been intensively investigated. The main objects of investigations are such function classes: entire functions of several variables [1–3], functions analytic in a polydisc [4], in a ball [5] or in the Cartesian product of the complex plane and the unit disc [6]. For entire functions and in a ball there were proposed two approaches to introduce a concept of index boundedness in a multidimensional complex space. They generate so-called functions of bounded L-index in a direction, and functions of bounded L-index in joint variables. Let us introduce some notations and definitions. ∗ n Let R+ = (0, +∞), R+ = [0, +∞), 0 = (0, ... , 0), b = (b1, ... , bn) ∈ C \{0} be a given direction, n n L : C → R+ be a continuous function, F : C → C an entire function. The slice functions on a line 0 0 n 0 0 {z + tb : t ∈ C} for fixed z ∈ C we will denote as gz0 (t) = F(z + tb) and lz0 (t) = L(z + tb).

Definition 1 ([7]). An entire function F : Cn → C is called a function of bounded L-index in a direction b, n if there exists m0 ∈ Z+ such that for every m ∈ Z+ and for all z ∈ C one has

|∂mF(z)| |∂k F(z)| b ≤ b m max k , (1) m!L (z) 0≤k≤m0 k!L (z)

Axioms 2019, 8, 88; doi:10.3390/axioms8030088 www.mdpi.com/journal/axioms Axioms 2019, 8, 88 2 of 12

n 0 ∂F(z) k  k−1  where ∂bF(z) = F(z), ∂bF(z) = ∑ ∂z bj, ∂bF(z) = ∂b ∂b F(z) , k ≥ 2. j=1 j

The least such integer number m0, obeying (1), is called the L-index in the direction b of the function F and is denoted by Nb(F, L). If such m0 does not exist, then we put Nb(F, L) = ∞, and the function F is said to be of unbounded L-index in the direction b in this case. If L(z) ≡ 1, then the function F is said to be of bounded index in the direction b and Nb(F) = Nb(F, 1) is called the index in the direction b. Let l : C → R+ be a continuous function. For n = 1, b = 1, L(z) ≡ l(z), z ∈ C inequality (1) defines a function of bounded l-index with the l-index N(F, l) ≡ N1(F, l) [8,9], and if in addition l(z) ≡ 1, then we obtain a definition of index boundedness with index N(F) ≡ N1(F, 1) [10,11]. It is also worth to mention paper [12], which introduces the 0 concept of generalized index. It is quite close to the bounded l-index. Let Nb(F, L, z ) stands for the 0 L-index in the direction b of the function F at the point z , i.e., it is the least integer m0, for which inequality (1) is satisfied at this point z = z0. By analogy, the notation N( f , l, z0) is defined if n = 1, i.e., in the case of functions of one variable. The concept of L-index boundedness in direction requires to consider a slice {z0 + tb : t ∈ C}. We fixed z0 ∈ Cn and used considerations from one-dimensional case. Then we construct uniform estimates above all z0. This is a nutshell of the method. In view of this, Prof S. Yu. Favorov (2015) posed the following problem in a conversation with one of the authors.

n n Problem 1 ([13]). Let b ∈ C \{0} be a given direction, L : C → R+ be a continuous function. Is it possible to replace the condition “F is holomorphic in Cn” by the condition “F is holomorphic on all slices z0 + tb” and to deduce all known properties of entire functions of bounded L-index in direction for this function class?

There is a negative answer to Favorov’s question [13]. This relaxation of restrictions by the function F does not allow the proving of some theorems. Here by D we denote a closure of domain D. There was proved the following proposition.

Proposition 1 ([13], Theorem 5). For every direction b ∈ Cn \{0} there exists a function F(z) and a bounded domain D ⊂ Cn with following properties:

(1) F is of bounded index on every slice {z0 + tb : t ∈ C} for each fixed z0 ∈ Cn; (2) F is not entire function in Cn; (3) F does not satisfy (1) in D, i.e., for any p ∈ Z+ there exists m ∈ Z+ and zp ∈ D

m ( k ) |∂ F(zp)| |∂ F(zp)| b > max b : 0 ≤ k ≤ p . m! k!

Let D be a bounded domain in Cn. If inequality (1) holds for all z ∈ D instead Cn, then F is called function of bounded L-index in the direction b in the domain D. The least such integer m0 is called the n L-index in the direction b ∈ C \{0} in the domain D and is denoted by Nb(F, L, D) = m0.

Proposition 2 ([13], Theorem 2). Let D be a bounded domain in Cn, b ∈ Cn \{0} be arbitrary direction. n 0 0 If L : C → R+ is continuous function and F(z) is an entire function such that (∀z ∈ D) : F(z + tb) 6≡ 0, then Nb(F, L, D) < ∞.

Hence, if we replace holomorphy in Cn by holomorphy on the slices {z0 + tb : t ∈ C}, then conclusion of Proposition2 is not valid. Thus, Proposition1 shows impossibility to replace joint holomorphy by slice holomorphy without additional hypothesis. The proof of Proposition2 uses Axioms 2019, 8, 88 3 of 12 continuity in joint variables (see [13], Equation (6)). It leads to the following question (see [14], where it is also formulated. There was considered a case L(z) ≡ 1).

Problem 2. What are additional conditions providing validity of Proposition2 for slice holomorphic functions?

A main goal of this investigation is to deduce an analog of Proposition2 for slice holomorphic functions. Please note that the positivity and continuity of the function L are weak restrictions to deduce constructive results. Thus, we assume additional restrictions by the function L. Let us denote   L(z + t1b) η λb(η) = sup sup : |t1 − t2| ≤ . n L(z + t b) min{L(z + t b), L(z + t b)} z∈C t1,t2∈C 2 1 2

n n By Qb we denote a class of positive continuous function L : C → R+, satisfying the condition

(∀η ≥ 0) : λb(η) < +∞, (2)

Moreover, it is sufficient to require validity of (2) for one value η > 0. b For a positive continuous function l(t), t ∈ C, and η > 0 we define λ(η) ≡ λ1 (η) in the cases 1 when b = 1, n = 1, L ≡ l. As in [15], let Q ≡ Q1 be a class of positive continuous functions l(t), t ∈ C, obeying the condition 0 < λ(η) < +∞ for all η > 0. n n n Besides, we denote by ha, ci = ∑ ajcj the scalar product in C , where a, c ∈ C . j=1 n 0 Let Heb be a class of functions which are holomorphic on every slices {z + tb : t ∈ C} for each 0 n n n z ∈ C and let Hb be a class of functions from Heb which are joint continuous. The notation ∂bF(z) p (p) stands for the of the function gz(t) at the point 0, i.e., for every p ∈ N ∂bF(z) = gz (0), n where gz(t) = F(z + tb) is entire function of complex variable t ∈ C for given z ∈ C . In this research, we will often call this derivative as directional derivative because if F is entire function in Cn then the derivatives of the function gz(t) matches with directional derivatives of the function F. n n Please note that if F ∈ Hb then for every p ∈ N ∂bF ∈ Hb. It can be proved by using of Cauchy’s formula. Together the hypothesis on joint continuity and the hypothesis on holomorphy in one direction do not imply holomorphy in whole n-dimensional complex space. We give some examples to demonstrate it. For n = 2 let f : C → C be an entire function, g : C → C be a continuous function. Then f (z1)g(z2), f (z1) ± g(z2), f (z1 · g(z2)) are functions which are holomorphic in the direction (1, 0) and are joint continuous in C2. Moreover, if we have performed an affine transformation

( 0 0 z1 = b2z1 + b1z2, 0 0 z2 = b2z1 − b1z2 then the appropriate new functions are also holomorphic in the direction (b1, b2) and are joint 2 continuous in C , where b1 6= 0, b2 6= 0. n A function F ∈ Heb is said to be of bounded L-index in the direction b, if there exists m0 ∈ Z+ such n that for all m ∈ Z+ and each z ∈ C inequality (1) is true. All notations, introduced above for entire n functions of bounded L-index in direction, keep for functions from Heb.

2. Sufficient Sets Now we prove several assertions that establish a connection between functions of bounded L-index in direction and functions of bounded l-index of one variable. The similar results for entire functions of several variables were obtained in [7,16]. The next proofs use ideas from the mentioned Axioms 2019, 8, 88 4 of 12 papers. The proofs of Propositions3,4 and Theorems1,2 literally repeat arguments from proofs of corresponding propositions for entire functions [7,16]. Therefore, we omit these proofs.

n 0 n Proposition 3. If a function F ∈ Heb has bounded L-index in the direction b then for every z ∈ C the entire function gz0 (t) is of bounded lz0 -index and N(gz0 , lz0 ) ≤ Nb(F, L).

n Proposition 4. If a function F ∈ Heb has bounded L-index in the direction b then

n 0 no Nb(F, L) = max N(gz0 , lz0 ) : z ∈ C .

n Theorem 1. A function F ∈ Heb has bounded L-index in the direction b if and only if there exists a number 0 n M > 0 such that for all z ∈ C the function gz0 (t) is of bounded lz0 -index with N(gz0 , lz0 ) ≤ M < +∞, as a 0 n function of variable t ∈ C. Thus, Nb(F, L) = max{N(gz0 , lz0 ) : z ∈ C }.

n n n Theorem 2. Let b ∈ C \{0} be a given direction, A0 ⊂ C such that {z + tb : t ∈ C, z ∈ A0} = C . n A function F ∈ Heb has bounded L-index in the direction b if and only if there exists a number M > 0 such that 0 for all z ∈ A0 the function gz0 (t) is of bounded lz0 -index with N(gz0 , lz0 ) ≤ M < +∞, as a function of one 0 variable t ∈ C and Nb(F, L) = max{N(gz0 , lz0 ) : z ∈ A0}.

n Remark 1. An arbitrary hyperplane A0 = {z˜ ∈ C : hz˜, ci = 1}, where hc, bi 6= 0, satisfies conditions of Theorem2.

∈ Hn 6= Corollary 1. If F eb is of bounded L-index in the direction b and j0 is chosen such that bj0 0, n 0 n 0  then Nb(F, L) = max{N(gz0 , lz0 ) : z ∈ C , zj = 0}, and if ∑ bj 6= 0, then Nb(F, L) = max N(gz0 , lz0 ) : 0 j=0 n 0 n 0 z ∈ C , ∑ zj = 0 . j=0 n n 0 n 0 We note that for a given z ∈ C the choice of z ∈ C and t ∈ C such that ∑ zj = 0 and j=1 z = z0 + tb, is unique. n n Theorem3 requires replacement of the space Heb by the space Hb. In other words, we use joint continuity in its proof.

n n n Theorem 3. Let A = C , i.e., A be an everywhere dense set in C and let a function F ∈ Hb. The function F is of bounded L-index in the direction b if and only if there exists M > 0 such that for all z0 ∈ A a function 0 gz0 (t) is of bounded lz0 -index N(gz0 , lz0 ) ≤ M < +∞ and Nb(F, L) = max{N(gz0 , lz0 ) : z ∈ A}.

Proof. The necessity follows from Theorem1. ( ) ( ) Sufficiency. Since A = Cn, then for every z0 ∈ Cn there exists a sequence z m , that z m → z0 as (m) m → +∞ and z ∈ A for all m ∈ N. However, F(z + tb) is of bounded lz-index for all z ∈ A as a function of variable t. That is why in view the definition of bounded lz-index there exists M > 0 that (p)  (k)  |gz (t)| |gz (t)| for all z ∈ A, t ∈ C, p ∈ Z+ p ≤ max k : 0 ≤ k ≤ M . p!l (t) k!lz (t) ( ) ( ) Substituting instead of z a sequence z m ∈ A, z m → z0, we obtain that for every m ∈ N

p ( ) |∂ F(z(m) + tb)| |∂k F(z(m) + tb)| b ≤max b : 0 ≤ k ≤ M . p!Lp(z(m) + tb) k!Lk(z(m) + tb) Axioms 2019, 8, 88 5 of 12

p n However, F and ∂bF are continuous in C for all p ∈ N and L is a positive continuous function. Thus, in the obtained expression the limiting transition is possible as m → +∞ (z(m) → z0). Evaluating 0 n the limit as m → +∞ we obtain that for all z ∈ C , t ∈ C, m ∈ Z+

p ( ) |∂ F(z0 + tb)| |∂k F(z0 + tb)| b ≤max b : 0 ≤ k ≤ M . p!Lp(z0 + tb) k!Lk(z0 + tb)

This inequality implies that F(z + tb) is of bounded L(z + tb)-index as a function of variable t for every given z ∈ Cn. Applying Theorem1 we obtain the desired conclusion. Theorem3 is proved.

Remark1 and Theorem3 imply the following corollary.

n n n Corollary 2. Let b ∈ C \{0} be a given direction, A0 ⊂ C such that its closure A0 = {z ∈ C : n p n hz, ci = 1}, where hc, bi 6= 0. And let a function F ∈ Hb and its derivatives ∂bF ∈ Hb for all p ∈ N. The function F(z) is of bounded L-index in the direction b if and only if there exists a number M > 0 0 such that for all z ∈ A0 the function gz0 (t) is of bounded lz0 -index with N(gz0 , lz0 ) ≤ M < +∞ and 0 Nb(F, L) = max{N(gz0 , lz0 ) : z ∈ A0}.

3. Local Behavior of Directional Derivative The following proposition is crucial in theory of functions of bounded index. It initializes series of propositions which are necessary to prove logarithmic criterion of index boundedness. It was first obtained by G. H. Fricke [17] for entire functions of bounded index. Later the proposition was generalized for entire functions of bounded l-index [18], analytic functions of bounded l-index [19], entire functions of bounded L-index in direction [7], functions analytic in a polydisc [4] or in a ball [5] with bounded L-index in joint variables,

n n Theorem 4. Let L ∈ Qb. A function F ∈ Heb is of bounded L-index in the direction b if and only if for n each η > 0 there exist n0 = n0(η) ∈ Z+ and P1 = P1(η) ≥ 1 such that for every z ∈ C there exists k0 = k0(z) ∈ Z+, 0 ≤ k0 ≤ n0, and

 η  max ∂k0 F(z + tb) : |t| ≤ ≤ P ∂k0 F(z) . (3) b L(z) 1 b

Proof. Our proof is based on the proof of appropriate theorem for entire functions of bounded L-index in direction [7]. Necessity. Let Nb(F; L) ≡ N < +∞. Let [a], a ∈ R, stands for the integer part of the number a in this proof. We denote 2N+1 q(η) = [2η(N + 1)(λb(η)) ] + 1. For z ∈ Cn and p ∈ {0, 1, . . . , q(η)} we put ( ) |∂k F(z + tb)| pη Rb(z, η) = max b : |t| ≤ , 0 ≤ k ≤ N , p k!Lk(z + tb) q(η)L(z)

( ) |∂k F(z + tb)| pη Reb(z, η)=max b : |t| ≤ , 0≤ k ≤ N . p k!Lk(z) q(η)L(z) Axioms 2019, 8, 88 6 of 12

  | | ≤ pη ≤ η pη ≤ ( ) b( ) b( ) However, t q(η)L(z) L(z) , then λb q(η) λb η . It is clear that Rp z, η , Rep z, η are well-defined. Moreover,

b Rp (z, η) =   k  |∂k F(z+tb)| ( ) =max b L z : 0≤ k ≤ N, |t| ≤ pη ≤ k!Lk(z) L(z+tb) q(η)L(z)   |∂k F(z+tb)| k ≤max b λ pη  : |t| ≤ pη , 0≤ k ≤ N ≤ k!Lk(z) b q(η) q(η)L(z)   (4) |∂k F(z+tb)| ≤max b (λ (η))k : |t| ≤ pη , 0 ≤ k ≤ N ≤ k!Lk(z) b q(η)L(z)   |∂k F(z+tb)| ≤ (λ (η))Nmax b : |t| ≤ pη , 0 ≤ k ≤ N = b k!Lk(z) q(η)L(z) b N = Rep (z, η)(λb(η)) ,

b Rep (z, η) =   |∂k F(z+tb)|  ( + ) k =max b L z tb : |t| ≤ pη , 0 ≤ k ≤ N ≤ k!Lk(z+tb) L(z) q(η)L(z)   |∂k F(z+tb)|   k ≤max b λ pη : |t| ≤ pη , 0≤ k ≤ N ≤ k!Lk(z+tb) b q(η) q(η)L(z)   (5) |∂k F(z+tb)| ≤ max (λ (η))k b : |t| ≤ pη , 0 ≤ k ≤ N ≤ b k!Lk(z+tb) q(η)L(z)   |∂k F(z+tb)| ≤ (λ (η))N max b : |t| ≤ pη , 0 ≤ k ≤ N = b k!Lk(z+tb) q(η)L(z) b N = Rp (z, η)(λb(η)) . z ∈ ≤ z ≤ z ∈ | z | ≤ pη Let kp Z, 0 kp N, and tp C, tp q(η)L(z) , be such that

kz | p ( + z )| b ∂b F z tpb Rep (z, η) = z . (6) z kp kp!L (z)

However, for every given z ∈ Cn the function F(z + tb) and its derivative are entire as functions of z | z | = pη variables t. Then by the maximum modulus principle, equality (6) holds for tp such that tp q(η)L(z) . z p−1 z We set tep = p tp. Then (p − 1)η |tez | = , (7) p q(η)L(z) | z | z tp η |tez − t | = = . (8) p p p q(η)L(z)

b It follows from (7) and the definition of Rep−1(z, η) that

kz | p ( + z )| b ∂b F z tepb Re − (z, η) ≥ z . p 1 z kp kp!L (z)

Therefore, kz kz p z p z ∂ F(z+tpb) − ∂ F(z+tepb) b b b b 0≤ R (z, η) − R (z, η)≤ z = ep ep−1 z kp kp!L (z) (9) z 1 R 1 d kp z z z = z ∂ F(z + (t + s(t − t ))b) ds. z kp 0 ds b ep p ep kp!L (z) Axioms 2019, 8, 88 7 of 12

For every analytic complex-valued function of real variable ϕ(s), s ∈ R, the inequality

d | ( )| ≤ d ( ) ( ) 6= ds ϕ s ds ϕ s holds, where ϕ s 0. Applying this inequality to (9) and using the mean value theorem we obtain

b b Rep (z, t0, η) − Rep−1(z, t0, η) ≤ |tz − tz | Z 1 z p ep kp+1 z z z ≤ z ∂ F(z + (etp + s(tp − etp))b) ds = z kp b kp!L (z) 0 |tz − tz | z p ep kp+1 z ∗ z z = z ∂ F(z + (etp + s (tp − etp))b) = z kp b kp!L (z) kz +1 | p ( + ( z + ∗( z − z )) )| z z z ∂b F z etp s tp etp b = L(z)(kp + 1)|tp − etp| z , z kp+1 (kp + 1)!L (z)

∗ z ∗ z z where s ∈ [0, 1]. The point etp + s (tp − etp) belongs to the set

 pη η  t ∈ C : |t| ≤ ≤ . q(η)L(z) L(z)

Using the definition of boundedness of L-index in direction, the definition of q(η), inequalities (4) z and (8), for kp ≤ N we have

kz +1 | p ( + ( z + ∗( z − z )) )| b b ∂b F z etp s tp etp b Rep (z, η) − Re − (z, η) ≤ z × p 1 z kp+1 z ∗ z z (kp + 1)!L (z + (etp + s (tp − etp))b) z L(z+(tz +s∗(tz −tz ))b)kp+1 ep p ep z z z N+1 N+1 × L(z)(k +1)|t −et | ≤ η (λb(η)) × L(z) p p p q(η) ( k z ∗ z z ) |∂ F(z + (etp + s (tp − etp))b)| N+1 ×max b : 0≤ k ≤ N ≤ η (λ (η))N+1Rb(z, η)≤ k z ∗ z z b p k!L (z + (etp + s (tp − etp))b) q(η) η(N + 1)(λ (η))2N+1 1 ≤ b b( ) ≤ b( ) 2N+1 Rep z, η Rep z, η [2η(N + 1)(λb(η)) ] + 1 2

b b b It follows that Rep (z, η) ≤ 2Rep−1(z, η). Using inequalities (4) and (5), we obtain for Rp (z, η)

b N b 2N b Rp (z, η) ≤ 2(λb(η)) Rep−1(z, η) ≤ 2(λb(η)) Rp−1(z, η).

Hence,   |∂k F(z+tb)| max b : |t| ≤ η ,0 ≤ k ≤ N = Rb (z, η) ≤ k!Lk(z+tb) L(z) q(η) ≤2(λ (η))2N Rb (z, η)≤ (2(λ (η))2N)2Rb (z, η)≤ b q(η)−1 b q(η)−2 (10) 2N q(η) b ≤ · · · ≤ (2(λb(η)) ) R (z, η) =  0  |∂k F(z)| = (2(λ (η))2N)q(η) max b : 0 ≤ k ≤ N . b k!Lk(z)

∈ ≤ ≤ ∈ | | = η Let kz Z, 0 kz N, and tez C, tez L(z) be such that

|∂kz F(z)| |∂k F(z)| b = b k max k , kz!L z (z) 0≤k≤N k!L (z) and kz kz |∂b F(z + tezb)| = max{|∂b F(z + tb)| : |t| ≤ η/L(z)}. Axioms 2019, 8, 88 8 of 12

Inequality (10) implies

kz ( kz ) |∂ F(z + tezb)| |∂ F(z + tb)| η b ≤ max b : |t| = ≤ k k kz!L z (z + tezb) kz!L z (z + tb) L(z) ( ) |∂k F(z + tb)| η ≤ max b : |t| = , 0 ≤ k ≤ N ≤ k!Lk(z + tb) L(z) k ∂ z F(z) ≤ ( ( ( ))2N)q(η) b 2 λb η k . kz!L z (z)

Hence, n o kz max |∂b F(z + tb)| : |t| ≤ η/L(z) ≤

kz 2N q(η) L (z + tezb) kz ≤ (2(λb(η)) ) |∂ F(z)| ≤ Lkz (z) b

2N q(η) N kz ≤ (2(λb(η)) ) (λb(η)) |∂b F(z)| ≤ 2N q(η) N kz ≤ (2(λb(η)) ) (λb(η)) |∂b F(z)|.

Thus, we obtain (3) with n0 = Nb(F, L) and

2N q(η) N P1(η) = (2(λb(η)) ) (λb(η)) > 1.

Sufficiency. Suppose that for each η > 0 there exist n0 = n0(η) ∈ Z+ and P1 = P1(η) ≥ 1 such that n for every z ∈ C there exists k0 = k0(z) ∈ Z+, 0 ≤ k0 ≤ n0, for which inequality (3) holds. We choose j n η > 1 and j0 ∈ N such that P1 ≤ η 0 . For given z ∈ C , k0 = k0(z) and j ≥ j0 by Cauchy’s formula for F(z + tb) as a function of one variable t

Z k0 ( + ) k0+j j! ∂b F z tb ∂b F(z) = + dt. 2πi |t|=η/L(z) tj 1

Therefore, in view of (3) we have

k +j |∂ 0 F(z)| j   j b L (z) k0 η L (z) k0 ≤ max |∂ F(z + tb)| : |t| = ≤ P1 |∂ F(z)|, j! ηj b L(z) ηj b

n Hence, for all j ≥ j0, z ∈ C

k +j k k k |∂ 0 F(z)| j!k ! P |∂ 0 F(z)| |∂ 0 F(z)| |∂ 0 F(z)| b ≤ 0 1 b ≤ j0−j b ≤ b k +j j k η k k . (k0 + j)!L 0 (z) (j + k0)! η k0!L 0 (z) k0!L 0 (z) k0!L 0 (z)

Since k0 ≤ n0, the numbers n0 = n0(η) and j0 = j0(η) are independent of z and t0, this inequality means that a function F has bounded L-index in the direction b and Nb(F, L) ≤ n0 + j0. The proof of Theorem4 is complete.

Theorem4 implies the next proposition that describes the boundedness of L-index in direction ∗ for an equivalent function to L. Let L (z) be a positive continuous function in Cn. We denote ∗ n L  L , if for some θ1, θ2, 0 < θ1 ≤ θ2 < +∞, and for all z ∈ C the following inequalities hold ∗ θ1L(z) ≤ L (z) ≤ θ2L(z).

n ∗ n ∗ Proposition 5. Let L ∈ Qb, L  L . A function F ∈ Heb has bounded L -index in the direction b if and only if F is of bounded L-index in the direction b. Axioms 2019, 8, 88 9 of 12

∗ n ∗ Proof. First, it is not easy to check that the function L also belongs to the class Qb. Let Nb(F, L ) < +∞. ∗ ∗ ∗ n Then by Theorem4 for every η > 0 there exist n0(η ) ∈ Z+ and P1(η ) ≥ 1 such that for every z ∈ C ∗ ∗ and some k0, 0 ≤ k0 ≤ n0, inequality (3) holds with L and η instead of L and η. But the condition ∗ n L  L means that for some θ1, θ2 ∈ R+, 0 < θ1 ≤ θ2 < +∞ and for all z ∈ C the double inequality ∗ holds θ1L(z) ≤ L (z) ≤ θ2L(z). Taking η∗ = θ2η we obtain n o k0 k0 ∗ ∗ P1|∂b F(z)| ≥ max |∂b F(z + tb)| : |t| ≤ η /L (z) ≥ n o k0 ≥ max |∂b F(z + tb)| : |t| ≤ η/L(z) .

Thus, by Theorem4 in view of arbitrariness of η∗ the function F(z) has bounded L-index in the direction b. We can obtain the converse proposition by replacing L with L∗.

Please note that Proposition5 can be slightly refined. The following proposition is easy deduced from (1).

n Proposition 6. Let L1(z), L2(z) be positive continuous functions, F ∈ Heb be a function of bounded L1-index n in the direction b, for all z ∈ C the inequality L1(z) ≤ L2(z) holds. Then Nb(L2, F) ≤ Nb(L1, F).

Using Fricke’s idea [20], we obtain modification of Theorem4.

n Theorem 5. Let L ∈ Qb. If there exist η > 0, n0 = n0(η) ∈ Z+ and P1 = P1(η) ≥ 1 such that for all n z ∈ C there exists k0 = k0(z) ∈ Z+, 0 ≤ k0 ≤ n0, for which the inequality holds

k0 k0 max{|∂b F(z + tb)| : |t| ≤ η/L(z)} ≤ P1|∂b F(z)|,

n n then the function F ∈ Heb has bounded L-index in the direction b ∈ C \{0}.

Proof. Our proof is based on the proof of appropriate theorem for entire functions of bounded L-index in direction [21]. n Assume that there exist η > 0, n0 = n0(η) ∈ Z+ and P1 = P1(η) ≥ 1 such that for every z ∈ C there exists k0 = k0(z) ∈ Z+, 0 ≤ k0 ≤ n0, for which η max{|∂k0 F(z + tb)| : |t| ≤ } ≤ P |∂k0 F(z)|. (11) b L(z) 1 b

j If η > 1, then we choose j0 ∈ N such that P1 ≤ η 0 . And for η ∈ (0; 1] we choose j0 ∈ N obeying j0!k0! the inequality P1 < 1. This j0 exists because (j0+k0)!

j0!k0! k0! P1 = P1 → 0, j0 → ∞. (j0 + k0)! (j0 + 1)(j0 + 2) · ... · (j0 + k0)

Applying Cauchy’s formula to the function F(z + tb) as function of complex variable t for j ≥ j0 n we obtain that for every z ∈ C there exists integer k0 = k0(z), 0 ≤ k0 ≤ n0, and

k0 k +j j! Z ∂ F(z + tb) ∂ 0 F(z) = b dt. b 2πi tj+1 | |= η t L(z)

Taking into account (11), one has

k +j |∂ 0 F(z)| j   j b L (z) k0 η L (z) k0 ≤ max |∂ F(z + tb)| : |t| = ≤ P1 |∂ F(z)|. (12) j! ηj b L(z) ηj b Axioms 2019, 8, 88 10 of 12

In view of choice j0 for η > 1 and for all j ≥ j0 we deduce

k +j k k k |∂ 0 F(z)| j!k ! P |∂ 0 F(z)| |∂ 0 F(z)| |∂ 0 F(z)| b ≤ 0 1 b ≤ j0−j b ≤ b k +j j k η k k . (k0 + j)!L 0 (z) (j + k0)! η k0!L 0 (z + t0b) k0!L 0 (z) k0!L 0 (z)

n Since k0 ≤ n0, the numbers n0 = n0(η) and j0 = j0(η) are independent of z, and z ∈ C is arbitrary, the last inequality means that the function F is of bounded L-index in the direction b and Nb(F, L) ≤ n0 + j0. If η ∈ (0, 1), then (12) implies for all j ≥ j0

k +j k k |∂ 0 F(z)| j!k !P |∂ 0 F(z)| |∂ 0 F(z)| b ≤ 0 1 b ≤ b k +j j k j k (k0 + j)!L 0 (z) (j + k0)! η k0!L 0 (z) η k0!L 0 (z) or in view of the choice of j0

k +j k |∂ 0 F(z)| ηk0+j |∂ 0 F(z)| ηk0 b ≤ b k +j k . (k0 + j)! L 0 (z) k0! L 0 (z)

˜ ˜ L(z) Thus, the function F has bounded L-index in the direction b, where L(z) = η . Then by Proposition5 the function F is of bounded L-index in the direction b. Theorem is proved.

4. Bounded Index in Direction in Bounded Domain

Let D be a bounded domain in Cn. If inequality (1) is fulfilled for all z ∈ D instead Cn, then F is called function of bounded L-index in the direction b in the domain D. The least such integer m0 is called the L-index in the direction b in the domain D and is denoted by Nb(F, L, D) = m0. By D we denote a closure of domain D.

Theorem 6. Let D be an arbitrary bounded domain in Cn, b ∈ Cn \{0} be arbitrary direction. If L : Cn → n p n 0 0 R+ is continuous function, F ∈ Hb and (∀p ∈ N) ∂bF ∈ Hb and (∀z ∈ D) : F(z + tb) 6≡ 0, then Nb(F, L, D) < ∞.

Proof. Proof of this theorem is similar to proof of corresponding lemma in [13]. For every given z0 ∈ D we develop the entire function F(z0 + tb) in by powers t

∞ ∂mF(z0) F(z0 + tb) = ∑ b tm (13) m=0 m!

 ∈ | | ≤ 1 in the disc t C : t L(z0) . m 0 |∂b F(z )| The quantity m! is the modulus of coefficient of power series (13) at the point t = 0. = 1 ∈ Hn ∈ Substitute t L(z0) . Since F b, for every z0 D

|∂mF(z0)| b → 0 (m → ∞), m!Lm(z0)

0 0 i.e., there exists m0 = m(z , b) such that inequality (1) holds at the point z = z for all m ∈ Z+. 0 We will show that sup{m0 : z ∈ D} < +∞. On the contrary, we suppose that the set of all values 0 0 (m) m0 is unbounded in z , that is sup{m0 : z ∈ D} = +∞. Hence, for every m ∈ Z+ there exists z ∈ D and pm > m p ( ) |∂ m F(z(m))| |∂k F(z(m))| b > max b : 0 ≤ k ≤ m . (14) p (m) k (m) pm!L m (z ) k!L (z ) Axioms 2019, 8, 88 11 of 12

0 Since {z(m)} ⊂ D, there exists subsequence z (m) → z0 ∈ G as m → +∞. By Cauchy’s formula one has p Z ∂bF(z) 1 F(z + tb) = + dt p! 2πi |t|=r tp 1 for any p ∈ N, z ∈ D. Rewrite (14) in the form   |∂k F(z(m))| max b : 0 ≤ k ≤ m < k!Lk(z(m)) ( ) (15) 1 R |F(z m +tb)| 1 < ( ) |dt| ≤ p max{|F(z)| : z ∈ D }, Lpm (z(m)) |t|=r/L(z m ) |t|pm+1 r m r

= S { ∈ n | − ∗| ≤ |b|r } > ∈ Hn where Dr z∗∈D z C : z z L(z∗) . We can choose r 1, because F b. Evaluating limit for every directional derivative of fixed order in (15) as m → ∞ we obtain

k 0 |∂bF(z )| 1 (∀k ∈ Z+) : ≤ lim max{|F(z)| : z ∈ Dr} ≤ 0. k!Lk(z0) m→∞ rpm

k The passing to the limit is possible because ∂bF is joint continuous. Thus, all derivatives in the direction b of the function F at the point z0 equal 0 and F(z0) = 0. In view of (13) F(z0 + tb) ≡ 0. This is a contradiction.

5. Conclusions The proposed approach can be applied in analytic theory of differential equations. It is known that concept of bounded index allows the investigation of properties of analytic solutions of linear higher-order differential equations with analytic coefficients. Therefore, it leads to the question of what the additional conditions are, providing index boundedness of every slice holomorphic solutions for linear higher-order directional derivative equations with slice holomorphic coefficients? In other words, is joint continuity a sufficient condition? Since there are known analogs of Cauchy’s formula for quaternionic variables and for Clifford algebras, the authors assume that The results in this paper can be generalized in these cases, i.e., in the case of slice holomorphic functions of quaternionic variable.

Author Contributions: These authors contributed equally to this work. Funding: This research received no external funding. Conflicts of Interest: The authors declare no conflict of interest.

References

1. Bandura, A.; Skaskiv, O. Asymptotic estimates of entire functions of bounded L-index in joint variables. Novi Sad J. Math. 2018, 48, 103–116. [CrossRef] 2. Nuray, F.; Patterson, R.F. Multivalence of bivariate functions of bounded index. Le Matematiche 2015, 70, 225–233. [CrossRef] 3. Nuray, F.; Patterson, R.F. Vector-valued bivariate entire functions of bounded index satisfying a system of differential equations. Mat. Stud. 2018, 49, 67–74. [CrossRef] 4. Bandura, A.; Petrechko, N.; Skaskiv, O. Maximum modulus in a bidisc of analytic functions of bounded L-index and an analogue of Hayman’s theorem. Mat. Bohem. 2018, 143, 339–354. [CrossRef] 5. Bandura, A.; Skaskiv, O. Sufficient conditions of boundedness of L-index and analog of Hayman’s Theorem for analytic functions in a ball. Stud. Univ. Babe¸s-BolyaiMath. 2018, 63, 483–501. [CrossRef] 6. Bandura, A.I.; Skaskiv, O.B.; Tsvigun, V.L. Some characteristic properties of analytic functions in D × C of bounded L-index in joint variables. Bukovyn. Mat. Zh. 2018, 6, 21–31. 7. Bandura, A.I.; Skaskiv, O.B. Entire functions of bounded L-index in direction. Mat. Stud. 2007, 27, 30–52. (In Ukrainian) Axioms 2019, 8, 88 12 of 12

8. Kuzyk, A.D.; Sheremeta, M.N. Entire functions of bounded l-distribution of values. Math. Notes 1986, 39, 3–8. [CrossRef] 9. Kuzyk, A.D.; Sheremeta, M.N. On entire functions, satisfying linear differential equations. Differ. Equ. 1990, 26, 1716–1722. 10. Lepson, B. Differential equations of infinite order, hyperdirichlet series and entire functions of bounded index. Proc. Symp. Pure Math. 1968, 2, 298–307. 11. Macdonnell, J.J. Some Convergence Theorems for Dirichlet-Type Series Whose Coefficients are Entire Functions of Bounded Index. Ph.D. Thesis, Catholic University of America, Washington, DC, USA, 1957. 12. Strelitz, S. Asymptotic properties of entire transcendental solutions of algebraic differential equations. Contemp. Math. 1983, 25, 171. [CrossRef] 13. Bandura, A.I. Sum of entire functions of bounded L-index in direction. Mat. Stud. 2016, 45, 149–158. [CrossRef] 14. Kosanyak, M. Slice Entire Functions of Bounded Index in Direction, Master’s Thesis, Ivan Franko National University of Lviv, Lviv, Ukraine, 2018. 15. Sheremeta, M. Analytic Functions of Bounded Index; VNTL Publishers: Lviv, Ukraine, 1999; 141p. 16. Bandura, A.I.; Skaskiv, O.B. Sufficient sets for boundedness L-index in direction for entire functions. Mat. Stud. 2008, 30, 177–182. 17. Fricke, G.H. Functions of bounded index and their logarithmic derivatives. Math. Ann. 1973, 206, 215–223. [CrossRef] 18. Sheremeta, M.N.; Kuzyk, A.D. Logarithmic derivative and zeros of an entire function of bounded l-index. Sib. Math. J. 1992, 33, 304–312. [CrossRef] 19. Kushnir, V.O.; Sheremeta, M.M. Analytic functions of bounded l-index. Mat. Stud. 1999, 12, 59–66. 20. Fricke, G.H. Entire functions of locally slow growth. J. Anal. Math. 1975, 28, 101–122. [CrossRef] 21. Bandura, A.I. A modified criterion of boundedness of L-index in direction. Mat. Stud. 2013, 39, 99–102.

c 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).