1. Introduction, Main Notations, and Definitions
The Reinhardt domain of holomoprhy [
1,
2,
3] has attracted the attention of many investigators in multidimensional complex analysis. This interest is generated by its geometric and analytical properties and its universality because it overlaps the balls, the polydiscs, and the Thullen domains [
4] as the partial cases. Moreover, these cases are not biholomorphic equivalent, but mathematicians [
5] continue to find conditions proving that a pseudo-convex Reinhardt domain is biholomorphic to the bounded balanced convex domains in
.
Therefore, the study of the Reinhardt domain allows us to discover a deep interplay between them. An increasing number of papers on various types of Reinhardt domains [
6], on the Schwarz lemma [
7], on the rigidity theorem [
8], on Bohr radii [
9,
10], on Bergman kernels [
11], and on the bounds of all the coefficients of homogeneous expansions [
12] for the domain show the importance of this topic. A few recent papers [
13,
14] initiated an intensive study of functions that are analytical in a complete Reinhardt domain by methods of the Wiman–Valiron theory. We will take most of our notations from those papers:
and
have the typical meanings in complex analysis, i.e, they are the real and complex
n-dimensional vector spaces, respectively. The notation
(
) means the class of an analytic multivariate function
f that is defined in a complete Reinhardt domain
and that admits such a representation by the following multiple power series:
with the convergence domain
, where
for
,
,
and
.
For the domain , we denote for .
Recent publications [
3,
10,
13,
14] show the growth of adaptations of one-dimensional complex analytic methods to such a domain as the Reinhardt domain in multidimensional complex analysis. Its increasing value is justified by its properties. In particular, the domain of convergence of any multiple power series (
1) has the following properties: a logarithmical convexity, a completeness, and a circular symmetry (multiple-circularity). This means that the domain is the logarithmically convex and complete Reinhardt domain with the center at the origin. Moreover, any analytical function given in the complete Reinhardt domain with the center at the origin can be developed in the multiple complex power series (
1) in the domain. Moreover, the Reinhardt domain has circular symmetry in each dimension (see below, condition b) because it is a multiple-circular domain. Therefore, in view of these facts, it is important to build a complete theory of analytical functions that have special properties in this domain: growth estimates [
15], boundedness of the partial logarithmic derivative modulus, uniform distribution of zero points in some sense, and some regular behavior expressed in the estimates of the maximum modulus by the minimum modulus at a polydisc. On the other hand, among such classes of analytic functions, those with a finite index occupy an important place. Additionally, these functions have applications in the analytic theory of differential equations. There are known sufficient conditions that preserve the finiteness of the index for entire solutions and analytical solutions in the unit ball for a system of partial differential equations [
16]. But the mentioned properties are known for analytic functions in the unit ball and in the unit polydisc, as well as for entire functions within a theory of functions with finite
-index in joint variables. We should like to observe that this class of functions is very wide because, for every function (entire or analytical in the unit ball) whose zero points have uniformly bounded multiplicities, a mapping
can be constructed for which the primary holomorphic function has finite
-index in joint variables.
A separate consideration of the properties of analytic functions in the ball and the polydisc is inspiring and important because these domains are not conformally equivalent. In view of these facts, it is important to construct a general theory for the Reinhardt domain because the unit ball and the unit polydisc are partial cases of the domain.
The n-dimensional complex domain is called the complete Reinhardt domain if:
(a) for every point from this domain and for each n-dimensional radius-vector , the point-wise product also belongs to the domain (it is a condition of completeness of the domain);
(b) for every point , its n-dimensional rotation also belongs to the domain, i.e., for all angles , the following component-wise rotation falls into this domain (it is a multiple-circular domain or condition of multiple-circularity).
The domain
becomes a logarithmically convex domain if the image of the set
G, excluding all coordinate hyperplanes
under the mapping
, is a convex set in
n-dimensional real space. There are known examples [
17] of the complete Reinhardt domain
D that are not logarithmically convex. The most frequently considered complete Reinhardt domains (
) are the following:
The polydisc with radius R and center at the origin is contained in the Reinhardt domain for every point taken from the domain , where the radii R are evaluated by the component-wise modulus of the point w, i.e., .
We also need the following standard notations from the theory of holomorphic functions with finite index in all variables (see, for example, [
15,
16,
18,
19,
20]). In particular,
means the non-negative real semi-axis,
is the
n-dimensional zero vector,
is the
n-dimensional vector whose every component equals 1,
is the
n-dimensional unit vector whose
j-th component equals 1, and all other components are zeros. For two
n-dimensional real (or, particularly, integer) vectors
and
, the following formal notations are used in the text: the component-wise product
the component-wise quotient
and the vector exponentiation
We do not violate the existence of these expressions. Under the norm
of the integer vector
A, we understand the sum of all its components, and all vector inequalities are understood as coordinate inequalities. This concerns the inequalities
,
, and so on. For the non-negative integer vector
, we define the vector factorial
as the product of all component factorials. The arithmetic operations as addition, scalar multiplication, and conjugation for points from the
n-dimensional complex space are given component-wise. For
and
, we define:
where
is the complex conjugate of
The open polydisc with radii
R and center
is defined as the Cartesian product of open discs
in all
, and it is denoted by
while the polydisc skeleton
is written by
Sometimes, we use the notation
for the closed polydisc
while
means the unit polydisc with center at origin, and
is a usual open unit disc. In addition,
stands for the
n-dimensional complex open ball with radius
r and center
and its topological boundary is a sphere
Similarly,
indicates the
n-dimensional complex closed ball with radius
r and center
and, finally,
means the open unit ball with its center at the origin. Obviously, the equality
is valid.
For
n-dimensional non-negative integer vector
, we will denote the
J-th order partial derivatives of an analytic in
function
H as follows:
By , we denote the closure of the complete Reinhardt domain and . We suppose that an auxiliary mapping satisfies the following conditions:
(1) for any , the j-th component of the mapping has a continuity in all points from
(2) for any
, the value of the
j-th component
at every point
z from the Reinhardt domain
is greater than
, i.e.,
for some real
. Here,
At the same time, if the set
is unbounded for a given
, then we will only require that the condition
be fulfilled. We will assume
in the case when
. Such a case is possible, for example, if
Examples of analytic functions in
are the deformed exponential function [
21,
22] and the partial theta function [
23,
24,
25].
For simplicity, we also write and where the constant is defined by the mapping , and is obtained as the Cartesian product of the left-open interval
Remark 1. Suppose that is a given complete Reinhardt domain. If is a set of radii and is a point belonging to the domain , then the polydisc is a subset of the domain . Indeed, for each , we have:In other words, for and some . But, is a complete domain, so the point z also lies within the domain Below we suppose everywhere that is the complete Reinhardt domain, and we will not repeat this assumption in the following assertions and definitions.
A multivariate holomorphic function
is called a function with
bounded (finite) -index (in joint variables) if, for some non-negative integer
, the following inequality holds for every order
J of partial derivatives in the whole domain
:
The least corresponding number
is the
-index in joint variables for the function
H, and
stands for the index. If the Reinhardt domain
matches with
n-dimensional complex space
, and if the mapping
identically equals 1, then it is a definition of an entire multivariate function of a bounded index [
19,
20,
26,
27]. These authors did not use the refinement “in joint variables”. In addition, if
and
, then it becomes the definition of the entire function of a single complex variable with bounded
l-index [
28], and if, finally,
, then we obtain the definition of the entire function having a bounded (finite) index [
29].
To achieve substantial results, we assume that the mapping
does not vary locally as soon as possible. With the phrase “the mapping does not vary locally as soon as possible”, we understand that every component of the vector-valued mapping
has such a property that the following supremum describing the local variation
is finite at least for one set of
n radii
R belonging to the domain
constructed as the Cartesian product of the half-open interval
The class of these mapping
satisfying (
2) and (
4) is denoted by
. It is easy to see that a validity of inequality (
4) for some
R from the domain
yields the validity of the same inequality for all values
R from the same domain.
Example 1. Let us consider the inequality (2) for different cases of If (unit polydisc), then because is equivalent to Thus, we obtain such a condition for the polydisc It completely matches with a condition on the function in paper [30]. This paper is an introductory paper on the term of bounded -index in joint variables for the function class whose domain of holomorphy is the unit polydisc. If (i.e., the complete multiple-circular domain is the ball with unit radii) and , then because is equivalent to Thus, we obtain such a condition for the ball. We prove thatfor Denoting and we rewrite the last inequality as Since , it is sufficient to prove for , or Introducing the function and using optimization methods, it can be proved thatIn other words, we haveThe right-hand side is the function used for conditions by the function in paper [15], where holomorphic functions having the unit ball as the domain of holomorphy within the theory of bounded -index in joint variables were investigated. In other words, condition (2) is no harder in the case of the unit ball than the standard condition , which appeared in paper [15]. But the condition (
2)
is universal for all complete Reinhardt domains. Besides the unit polydisc above, it completely matches with a condition by the mapping of defined in the Cartesian product of a complex plane and the unit disc, i.e., Some results are known on the finiteness of -index in joint variables for analytic functions whose domain of holomorphy is the specified Cartesian product. If , then , and the case is considered above for the polydisc.
If , then Hence,
2. Behavior on Polydiscs of Mixed Derivatives of Holomorphic Functions
The analogues of the following theorem are fundamental to the theory of functions with finite index for various classes of holomorphic functions. For entire multivariate complex-valued functions, this was deduced by F. Nuray and R. Patterson in [
18]. This is a starting point to establish more usable criteria providing finiteness of the index for various function classes. They characterize the maximum modulus of mixed derivatives on a polydisc or logarithmic derivative modulus in each variable separately, outside some exceptional sets (see [
15,
31,
32]). The orders of partial derivatives are uniformly bounded by some positive integer depending only on the radii of the polydiscs, the analytical function, and the auxiliary function. In fact, the amount depends only on behavior characteristic of the vector-valued function
and the value of
-index in joint variables. In this section, we also considered the replacement of the maximum modulus of partial derivatives by some fraction that matches with the Taylor–Maclaurin coefficient for multiple power series if the mapping
identically equals a vector consisting only of units.
Theorem 1. Let be a complete multiple-circular domain; the mapping belongs to the class . The joint -index for a function H belonging to the class is finite if and only if, for any vector-radius R taken from the Cartesian product , it is possible to find such a positive integer and a positive real that, for every point within the domain , there exists a mixed derivative order (n-dimensional positive integer vector), whose height does not exceed the integer , and Proof. We will start with the proof of necessity. Let
H be a holomorphic function in the complete Reinhardt domain
Assume that
, i.e., the analytic functions’ class with finite
-index in joint variables, at least, contains the function
For every radii
R chosen from the Cartesian product
, we set
Here, the square brackets
mean the integer part of the real number
b, i.e., it is the floor function. For every natural number
p chosen from the finite set
and for every point
lying in the complete multiple-circular domain
, we tag
In these designations, the
differs on
, the replacement value of mapping
at arbitrary point
z within the polydisc by the value of mapping
at the center of the polydisc. We deduce estimate
by
. By definitions of
and
, we get
But, since
, by using definition (
4), we obtain
Similarly, in view of (
4), we establish the estimate
by
:
We chose the mixed derivative order
and the point
within the closed polydisc, with center at point
and vector-radius
, by the following conditions:
(1) the height of the n-dimensional positive integer vector is not greater than N;
(2) as a two-parametric maximum above the total points within a polydisc and above a finite set of partial derivatives whose heights are bounded from above by
N, the quantity
is attained at
and
, i.e., the order
and the point
satisfy the equality
We will apply the multidimensional maximum modulus principle. By this principle, the point
must lie on the polydisc skeleton
This means that the point
differs from the center
of the polydisc. We construct an intermediate point
on a line between two specified points: the center
of the polydisc and maximum point
on the polydisc skeleton. The
j-th coordinate of the point
is evaluated by the rule:
For further transformations, it needs to estimate consecutive distances between the points
and
Making elementary calculations in each coordinate, we establish for every
:
The coordinate-wise estimate (
9) of distance shows that the intermediate point
gets into the closed polydisc
, i.e., it lies within the polydisc with the same center, and the vector-radius decreases by
Therefore,
as the maximum of the expression
above all points within the polydisc is greater than the value
, i.e., it exceeds the value at the specified point
lying on the skeleton of the same polydisc:
The last inequality and definition of
in equality (
8) together imply such an upper estimate of difference between consecutive quantities
and
:
Connecting the points
and
by a parametric line
for
and replacing the difference
with an integral along the line, we deduce:
Further, we evaluate the derivative in the parameter
t. For such a goal, we use the derivative from the modulus of a function that is less than the modulus of the derivative of the function, i.e.,
for every
t, excluding zeros, of the function
These transformations generate the following estimate:
Hence, by the mean value theorem, we can replace the sum under the integral in the real parametric variable
t by a value at some point
belonging to the interval
:
where the point
is contained in the polydisc
. For every point
z within the domain
, and for each partial derivative order
whose height
is less than the joint
-index increased by 1, by using (
4), we deduce that:
Here,
Above, we estimate the fraction
by the
This is possible because the mapping
belongs to the class
Now, we successively apply the last inequality to (
11), substituting the distance estimate (10) and the expression from the definition of
. It yields:
Combining the start and the end of our considerations above, we conclude that:
After simplification and reducing similar summands, this inequality transforms into the following:
Applying successively the estimate
by
, the last inequality and the converse estimate
by
(we take them from (
6)–(
7)), one has:
Therefore, successively applying the inequality (
12) firstly for
, then for
, and finally for
, we obtain:
If we compare estimate (
13) and inequality (
5) among themselves, then we see that this form of necessity condition is valid with such a parameter
and with some partial derivative order
(non-negative integer
n-dimensional vector), for which its height is less than
N, i.e., it does not exceed the joint
-index. We chose the parameter
as the vector, at which the maximum of the fraction
is attained above a finite set of all possible partial derivative orders
whose height
is less than the joint
-index. It completely finishes the proof of necessity for condition (
5).
Let us move on to the sufficiency proof for the same restriction, i.e., the maximum modulus estimate (
5) in the polydiscs for the expressions containing the partial derivatives, the vector factorial, and the vector
K-th degree of the mapping
Assume that, for every real vector-radius
, we can find an upper estimate of index
belonging to the set of positive integer numbers and positive real multiplier
greater than 1 such that, for any point
from the domain
, it is possible to fit the partial derivative order
with its height less than the upper estimate of index
and for which the sufficiency condition (
5) holds.
For further goals, we need an integral Cauchy’s formula for analytic multivariate function written by an integral on the polydisc skeleton as follows. For any point
, for every partial derivative order
, and for every partial derivative order
, the following equality must be satisfied:
Therefore, we apply (
5) to the right-hand side of the integral Cauchy’s formula:
After multiplication of the last expression by the fraction
, it creates an estimate that implies:
Obviously,
for all natural numbers
s, so
The
j-th component
of radius-vector
R is chosen from the half-open interval
, where
is given by condition (
2) on the mapping
Combining this choice in each dimension up to
n, we construct the radius-vector
, which belongs to the Cartesian product
of the specified half-closed interval. Since
increases for the chosen radius-vector
R as
, the multiplier
in (
14) is tending to zero as
. This implicitly confirms an existence of
such that, for all
,
, the next right-hand side multiplier
concerning
at the end of (
14) also belongs to the segment
After replacement of the multiplier by inequality (
14), it yields
This means that, for every
and
,
where the natural numbers
and
do not depend on
. Therefore, for the analytic in the complete multiple-circular domain function
H, its joint
-index must be finite, and it is bounded from above by the sum
□
Theorem 2. Let be a complete Reinhardt domain; the mapping belongs to the class . In order that a holomorphic function might be of finite -index in joint variables, it is necessary that, for every radius-vector , there exists an upper estimate of joint index , and there exists the uniform estimate of the quotient of the maximum modulus of the partial derivative on a polydisc by the value of the modulus at the center of the polydisc. Additionally, for every point from the complete multiple-circular domain, one can find the partial derivative order (as an n-dimensional non-negative integer vector), whose height is less than andand it is sufficient that, for each radius-vector , there exists and such that, for all and for every , one can find the partial derivative in the j-th variable , whose order is less than and whose maximum modulus of the -th order partial derivative of the function H within the polydisc with the center and the radius is not greater than the value of the modulus of the derivative at the center of the polydisc, i.e., Proof. Analyzing the proof of Theorem 1, we can discover that the inequality (
5) is satisfied for some partial derivative order
Rewriting (
5) in the converse order and using a lower estimate concerning the behavior of the mapping
, we establish that we have:
Multiplying this estimate by the product
, one has
Putting
above, we transform estimate (
17) into inequality (
15).
The sentence finishes the proof of necessity for condition (
15).
To justify the sufficiency of (
16), we suppose that, for each radius-vector
one can find the upper estimate of index
and
such that, for any point
from the Reinhardt domain
and some
with
, inequality (
16) holds.
As in the proof of the previous theorem, we again write the integral Cauchy’s formula for an analytical function in the following form: for any point
and each partial derivative order
:
We take the modulus from both parts and select the left-hand side of the sufficiency condition in each variable:
In the last expression, we substitute the maximum possible values of the radius-vector
and estimate the maximum modulus by the sufficiency condition (
16) in each variable:
The partial derivative order
will be chosen such that
and such that
is defined by the restriction
. Therefore, (
18) implies that, for all
and
:
Consequently, joint
-index
of the analytic function
H in the Reinhardt domain is not greater than the sum of
and
□
Remark 2. We write a few considerations concerning estimate (15). It is a characterization property of finiteness of the l-index for the univariate complex-valued holomorphic function [28,31,32]. However, for some time, it was unknown whether this condition is sufficient so that the -index in joint variables for a holomorphic function is uniform bounded above all points from the holomorphy domain. At the present moment, there are examples of functions with finite -index in joint variables and unbounded l-index in each variable for any positive continuous function l. The presented conditions (16) in each variable are a certain multidimensional counterpart for the sufficient conditions. Lemma 1. Assume that the mappings and belong to the class and that, for every point , the inequality holds as a component-wise inequality. If the joint index for an analytic function is bounded for the lesser function ,. i.e., then the joint index for the analytic function is also bounded for the greater function , i.e., and the joint index concerning the greater auxiliary function does not exceed the joint index concerning the lesser auxiliary function increased by n times, i.e.,
Proof. For simplicity of notation, we set
Using inequality (
3) from the definition of joint index, we write the appropriate expression for the function
and replace it with the function
:
Since
, we can bound the expression
by one from above. Then, for every
:
The last inequality means finiteness of the joint
-index for the holomorphic function
H in the whole complete multiple-circular domain, and
□
Let us introduce the second auxiliary function . The notation stands for the existence of two n-dimensional positive real vectors and , for which for every in the whole Reinhardt domain concerning the variable
Theorem 3. Let A function H belonging to the class of analytic functions has bounded -index in joint variables if and only if the function is of finite joint -index.
Proof. Using the definition of the auxiliary class , it can be checked that, if and , then
As above, for simplicity, we put
as finite. Then, by Theorem 1 for every radius-vector
taken from the Cartesian product
, there must exist a real
such that inequality (
5) holds at all points
chosen as centers of polydiscs of domain exhaustion and some
dependent on
with the height less than
. In addition, we replace the auxiliary function
with
and change the positive real radius-vector
R by
in (
5). Hence:
Again using Theorem 1 in the converse direction, we conclude that the function
H is of finite
-index in joint variables. □
Theorem 4. Let an auxiliary function belong to . A function H from the class is of finite joint -index if and only if there exist a radius-vector an upper estimate of index a uniform estimate of local growth of the maximum modulus such that, for every point and for some with , inequality (5) holds. Proof. The necessity of Theorem 1 is proved above for all possible values of radius-vector from the Cartesian product . In the present theorem, it is required for one radius-vector. Therefore, it follows from the specified theorem. We will organize the proof of the sufficiency by the schema of sufficiency proof from Theorem 1. The proof of Theorem 1 with implies that
Let us introduce the auxiliary new function
where
and where the parameter
is chosen by the property of the function
We will try to justify validity of (
5) for any radius-vector if it is true for
, and some
with
; we obtain:
Therefore, (
5) is satisfied for the holomorphic function
H, the auxiliary mapping
, and radius-vector
. Further, we will apply Theorem 1 to the holomorphic function
and the following mapping:
. This application leads us to the conclusion that
H has finite joint
-index. Then, we can refer to Theorem 3 to justify the boundedness of joint
-index for the function
H, which is analytic in the complete multiple-circular domain. □