Univalent polynomials and Koebe's one-quarter theorem
Dmitriy Dmitrishin, Konstantin Dyakonov, and Alex Stokolos

TL;DR
This paper investigates the maximum radius guaranteed by a Koebe-type theorem for univalent polynomials of fixed degree, providing a conjecture and settling cases for small degrees.
Contribution
It formulates a conjecture on the optimal radius for univalent polynomials and confirms the conjecture for small degrees, extending classical results.
Findings
Conjecture on the optimal radius for univalent polynomials.
Verification of the conjecture for small degrees.
Extension of Koebe's theorem to polynomial subclasses.
Abstract
The famous Koebe theorem deals with univalent (i.e., injective) analytic functions on the unit disk . It states that if is normalized so that and , then the image contains the disk of radius about the origin, the value being best possible. Now suppose is only allowed to range over the univalent polynomials of some fixed degree. What is the optimal radius in the Koebe-type theorem that arises? And for which polynomials is it attained? A plausible conjecture is stated, and the case of small degrees is settled.
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Univalent polynomials
and Koebe’s one-quarter theorem
Dmitriy Dmitrishin
Odessa National Polytechnic University, 1 Shevchenko Ave., Odessa 65044, Ukraine
,
Konstantin Dyakonov
Departament de Matemàtiques i Informàtica, IMUB, BGSMath, Universitat de Barcelona, Gran Via 585, E-08007 Barcelona, Spain
ICREA, Pg. Lluís Companys 23, E-08010 Barcelona, Spain
and
Alex Stokolos
Department of Mathematical Sciences, Georgia Southern University, Statesboro, GA 30460, USA
Abstract.
The famous Koebe theorem deals with univalent (i.e., injective) analytic functions on the unit disk . It states that if is normalized so that and , then the image contains the disk of radius about the origin, the value being best possible. Now suppose is only allowed to range over the univalent polynomials of some fixed degree. What is the optimal radius in the Koebe-type theorem that arises? And for which polynomials is it attained? A plausible conjecture is stated, and the case of small degrees is settled.
Key words and phrases:
Koebe’s one-quarter theorem, Koebe radius, univalent polynomial
2010 Mathematics Subject Classification:
30C10, 30C25, 30C55, 30C75
The second author was supported in part by grants MTM2014-51834-P and MTM2017-83499-P from El Ministerio de Economía y Competitividad (Spain), and by grant 2017-SGR-358 from AGAUR (Generalitat de Catalunya).
1. Introduction
Suppose you can solve a certain problem that involves general analytic functions, perhaps lying in some (fairly large) class. Then you restrict your attention to the set of polynomials of a fixed degree that are in the same class. Can you also solve the restricted (polynomial) version of the problem that arises? Well, not necessarily. While many a problem is sure to simplify or trivialize completely, there are others that become dramatically harder. In what follows, we deal with a situation of the latter kind.
Our starting point is the classical Koebe one-quarter theorem, a cornerstone of geometric function theory. Recall, first of all, that an analytic function on a domain is said to be univalent if it is one-to-one, i.e., takes distinct values at distinct points of . Now let denote the set of univalent functions on the disk that have a Taylor series expansion of the form
[TABLE]
(so that and ). The one-quarter theorem – which was actually conjectured by Koebe in 1907 and proved somewhat later by Bieberbach – reads as follows.
Theorem 1.1** (Koebe’s theorem).**
For every , the range contains the disk .
See, e.g., [7, Chapter 2] or [12, Chapter 14] for a proof. Furthermore, since the so-called Koebe function
[TABLE]
belongs to and maps onto the slit plane , we see that the radius in Koebe’s theorem is optimal; indeed, no larger number would do.
Motivated by this result, we introduce the following notation. Given a set , we write for the supremum of those for which the common range contains the disk . The number will be referred to as the Koebe radius for . Clearly, we always have .
An important subclass of , to be denoted by , is the set of univalent functions of the form (1.1) whose coefficients are all real. Because the Koebe function is in , we see that
[TABLE]
We further remark that the critical value coincides with
[TABLE]
where is the unit circle, and moreover, is the only minimum modulus point for on .
Among the many results that highlight the extremal role of the Koebe function in and/or , the most famous is undoubtedly the (former) Bieberbach conjecture, now de Branges’ theorem, which establishes sharp bounds for the coefficients in (1.1). Namely, it states that every (and hence every ) satisfies for , the inequalities being all strict unless is the Koebe function or one of its rotations. (In the case of , the only nontrivial rotation to be considered is .)
We mention in passing that the version of the Bieberbach conjecture was relatively easy to settle; one of the proofs (as outlined in [7, p. 269]) makes use of Suffridge’s work on univalent polynomials, a topic to be touched upon below. By contrast, the full version of the conjecture had remained open for almost 70 years, defying numerous attacks, until de Branges finally cracked it by using a highly sophisticated array of techniques (see [3, 8]).
It is noteworthy that the two extremal problems – those underlying the Koebe theorem and the Bieberbach conjecture – are tightly linked together. In fact, the basic inequality , which was discovered by Bieberbach in 1916, both led him to a proof of Theorem 1.1 and provided the basis for his coefficient conjecture.
Now, we are interested in polynomial versions of Theorem 1.1. The extremal problem that arises, to be described in a moment, will be referred to as the polynomial Koebe problem. Given a positive integer , let (resp., ) denote the set of univalent polynomials of the form
[TABLE]
with complex (resp., real) coefficients; here and below, univalence is only assumed in . Thus, and . We then ask: What are the values of the Koebe radii and ? Also, what are the extremal “Koebe-type” polynomials that minimize the quantity
[TABLE]
among all in and/or ?
Clearly, the optimal lower bound for (1.5), as ranges over or , coincides with the Koebe radius of the corresponding class. Once again, the case of real coefficients seems to be more tractable, so we restrict most of our attention to .
Needless to say, the problem is trivial for . Indeed, the only element of (as well as of ) is the identity function , whence
[TABLE]
The case is not much harder. This time, the univalent polynomials of the form are precisely those with ; the extremal ones have , and a simple calculation shows that
[TABLE]
Typically enough, passing to higher degrees makes life increasingly painful, and the case of already seems to deserve a serious analysis. To begin with, it is far from trivial to determine the values of and for which the polynomial is univalent in . This has been done, however, and we recall the result (or rather its version) in Section 4 below. Then we proceed to solve our polynomial Koebe problem for .
Meanwhile, we pause to speculate on the case of general , trying to guess what the extremal polynomials should be. One natural – and tantalizingly sexy – candidate that comes to mind is Suffridge’s remarkable family of univalent polynomials, which we discuss in some detail (only to reject it shortly afterwards). The Suffridge polynomials are known to approximate and mimic the Koebe function in several ways, so we find it quite surprising that this time they fall short of being extremal. Then we come up with another – newborn – collection of polynomials which, we strongly believe, is the right candidate for the job. Finally, the solution we give for serves to corroborate the conjecture, and also allows us to compare the extremal properties of the two competing families of polynomials.
2. The Suffridge polynomials – a rejected candidate
In [13], Suffridge introduced an important family of polynomials, which turned out to enjoy a number of elegant extremal properties. Namely, for , he defined
[TABLE]
where
[TABLE]
and verified that each is univalent in . Since , we have for every . We further note that , which already reflects a certain extremal property of . (Indeed, the highest coefficient of a univalent polynomial (1.4) must satisfy . To see why, look at the constant term of the monic polynomial which has no zeros in .) Moreover, Suffridge showed that whenever is a polynomial of the form (1.4) with , the remaining coefficients of are also dominated by those of , so that
[TABLE]
When , it is actually true that every polynomial (1.4) lying in obeys Suffridge’s estimates (2.2) unrestrictedly, the assumption that being no longer needed. (In the nontrivial cases and , this follows from results of [1, 2, 10] and of [11], respectively.) It is also noteworthy that the polynomial
[TABLE]
maximizes and among all ’s of the form in , not just in ; see [1] or [2].
These extremal properties of the Suffridge polynomial seem to indicate that its role in is similar to that of the Koebe function in or , the analogy being especially clear-cut for small degrees. On the other hand, for every fixed , the coefficients increase to (i.e., to the th coefficient of the Koebe function) as . Consequently, uniformly on compact subsets of .
Now let us try and estimate the distance in (1.5) for . The Koebe-type behavior of suggests, in conjunction with (1.3), that we begin by looking at . In fact, Theorem 1.1 tells us that
[TABLE]
whereas a straightforward computation yields
[TABLE]
so that . We see that the upper bound in (2.4) tends to as , meaning that the ’s are asymptotically sharp in the polynomial Koebe problem. Are they also sharp for each individual ?
This last question was explicitly raised in [5], where polynomial analogues of Theorem 1.1 were also touched upon, and this has largely spurred our interest in the problem. While the above discussion seems to provide evidence in favor of a “yes” answer, we now disprove the conjecture (at least in the setting) by showing that the actual answer is a resounding “no,” already for . As a matter of fact, the Suffridge polynomial (2.3) fails to be extremal for the Koebe problem in since it loses the game to
[TABLE]
another remarkable polynomial from , which turns out to be unbeatable. Specifically, the corresponding values of the distance in (1.5) happen to be
[TABLE]
and
[TABLE]
so does indeed slightly better.
The facts just mentioned (i.e., the univalence of , its extremality in the Koebe problem for , and hence also its supremacy over ) will be verified in Sections 4 and 5 below. The calculations leading to (2.6) and (2.7) will be provided there as well. But first we have to place the polynomial where it belongs. Namely, it should be viewed as a member of a certain lordly family, , which we now describe.
3. A new, more promising, family of polynomials
and the conjectured solution
Recall, to begin with, that the Chebyshev polynomials of the second kind, , are defined for by the identity
[TABLE]
Thus,
[TABLE]
and so forth. Next, for a positive integer , we put
[TABLE]
and consider the numbers
[TABLE]
with . Finally, we define
[TABLE]
It should be noted that for each . Also, rewriting the expression (2.1) for the Suffridge coefficients as
[TABLE]
one might observe a certain – perhaps remote – kinship between the and the , or equivalently, between the two families of polynomials. The new formulas (3.1) look somewhat more bizarre, if not a bit scary, but there are reasons for them being what they are.
In fact, the polynomials arose quite recently (see [6]) in connection with another extremal problem, which is fairly close in spirit to the current one. The problem was: Given , maximize the quantity
[TABLE]
over all polynomials of the form (1.4) with real coefficients (but without assuming univalence). It was then shown in [6] that the unique maximizing polynomial is precisely , so that the best upper bound for is , which in turn equals .
The first two polynomials in the family are
[TABLE]
and
[TABLE]
both being obviously univalent in . The next one, , is our old friend (2.5) which is again univalent in , as we shall see in Section 4 below. Then comes
[TABLE]
a polynomial whose univalence has also been established; a nice proof can be found in [4]. In fact, is even known to be starlike (meaning that it maps conformally onto a starlike domain), since it meets the starlikeness criterion given in [9, pp. 515–516]. We have been able to verify univalence for and as well, but the case of bigger ’s remains open. We do believe that is actually univalent in , and hence , for all . Numerical simulations reinforce this belief substantially.
We further conjecture that the ’s are extremal in the polynomial Koebe problem, so that for every fixed in , minimizes the distance in (1.5) among all . The Koebe radius must then agree with , and it is very likely that this last quantity always equals , which in turn simplifies to . We go on to claim that the same result should hold in the case of complex coefficients, so that has presumably the same Koebe radius and the same extremal polynomials as . Thus, in particular, it is conjectured that
[TABLE]
There are several sources for our certainty, beyond a reasonable doubt, that the conjectured solution is correct. These include the appearance of the polynomials in the cognate extremal problem involving (3.2), as mentioned above, plus the analysis of the case (which is the bifurcation point between the ’s and ’s) to be carried out below, plus the numerical experiments we performed when playing around with polynomials of higher degrees.
4. Polynomials of degree 3: preliminaries
Which functions of the form
[TABLE]
are univalent in ? The answer was first obtained in [10] and then rediscovered, via different approaches, in [1] and [2]. To state it (which we only do for the case where and are real), we begin by describing the boundary of the univalence region in the plane.
The portion of that lies in the half-plane can be written as , where
- •
is the segment of the line with endpoints and ;
- •
is the (shorter) arc of the ellipse with endpoints and ;
- •
is the segment of the line with endpoints and .
(The two line segments and the arc are assumed to be closed.) We then define
[TABLE]
and . Thus, is a simple closed curve which is symmetric with respect to the axis. Finally, we write for the bounded connected component of and put .
The required result from (any of) [1, 2, 10] can now be stated as follows.
Lemma 4.1**.**
For , the polynomial (4.1) is univalent in if and only if belongs to .
Obviously enough, the univalence region is also symmetric with respect to the axis (as is ). This is due to the fact that the polynomial (4.1) and its reflection
[TABLE]
are, or are not, univalent simultaneously.
The Suffridge polynomial (2.3) corresponds to the vertex which sticks out in both coordinate directions and has a special, remarkably extreme position in (along with the symmetric point that represents ). Thus, when faced with an extremal problem for , one is indeed tempted to contemplate and as the most likely extremizers. In our case, however, the actual winners turn out to be (as defined by (2.5) above) and , a fact we shall soon verify. The corresponding points in the coefficient plane are
[TABLE]
both belong to (in fact, the one with the sign lies on the arc ), so univalence is ensured by Lemma 4.1. The points (4.2) do not appear to enjoy a particularly privileged position, though, so the extremal nature of and can scarcely be viewed as predictable.
Another preliminary question we need to discuss is this: Given a polynomial (4.1) with , where does it attain its minimum modulus value on the unit circle ?
We are only interested in the case . For a point , a straightforward calculation yields
[TABLE]
Originally, runs through the interval , but we extend the quadratic polynomial to all . Then
[TABLE]
and the only zero of this derivative is
[TABLE]
The function therefore attains its minimum (if ) or maximum (if ) at , its value at the critical point being
[TABLE]
as verified by direct computation. In particular, this last quantity will be nonnegative whenever happens to be in ; to see why, recall (4.3).
In terms of , two types of behavior may occur. To distinguish between them, we now introduce the appropriate terminology.
Definition 4.2**.**
A polynomial is said to be of type I if
[TABLE]
Otherwise we say that is of type II.
It should be noted that, for a polynomial with nonnegative coefficients, (4.6) simplifies to
[TABLE]
Thus, polynomials of type I are essentially those that mimic the Koebe function by sharing its property (1.3).
The above discussion leads us to the following conclusion.
Lemma 4.3**.**
Let be a polynomial of the form (4.1) with real coefficients and with . In order that be of type II, it is necessary and sufficient that and , where is defined by (4.4). In this case,
[TABLE]
where . Moreover, are then the only points of where the minimum in question is attained.
This result allows us to compute the quantity (1.5) for and , thus verifying the announced formulas (2.6) and (2.7).
The polynomial has and , and plugging this into (4.4) gives
[TABLE]
It now follows from Lemma 4.3 that is of type I, and so
[TABLE]
The right-hand side of (4.9) reduces to , and we arrive at (2.6).
As to the Suffridge polynomial , this time we have
[TABLE]
so Lemma 4.3 tells us that is of type II. The corresponding equals , and substituting the appropriate values into (4.8) yields (2.7).
5. Polynomials of degree 3: solution
For a polynomial , we put
[TABLE]
To solve the Koebe problem for , we need to minimize the functional over all . This is done in Theorem 5.1 below, where the minimizing polynomials are exhibited; as promised, these are shown to be and .
A couple of conventions will be made. First, if is a class of polynomials and , we say that is extremal for to mean that
[TABLE]
Secondly, every polynomial in will be identified, via (4.1), with the corresponding point in the plane (or rather in the univalence region coming from Lemma 4.1); we shall occasionally write to make this explicit. Also, given a set , we may now use the notation without any risk of confusion.
Theorem 5.1**.**
The only extremal polynomials for the class are , as defined by (2.5), and its reflection .
As a consequence, we see that the Koebe radius for equals , which agrees with
[TABLE]
the conjectured (and now established) value of from (3.3). It only remains to prove Theorem 5.1.
Proof.
The extremal polynomials must live on the boundary, , of the univalence region . By symmetry, it suffices to consider
[TABLE]
which in turn decomposes as ; see the preceding section for definitions.
We begin by looking at the values of when . It is easy to check that, whenever is a point of with , we have
[TABLE]
Equivalently, the number given by (4.4) is in for any such point, and we deduce from Lemma 4.3 that the polynomials belonging to are all of type I. It is also clear that every polynomial satisfies
[TABLE]
Furthermore, on we have , whence
[TABLE]
the permissible values of being those in . We now combine (4.6), (5.1), and (5.2) to get
[TABLE]
for each polynomial . Consequently,
[TABLE]
Next, we turn to the case where . We know that contains polynomials of both types, and we write (resp., ) for the set of all polynomials of type I (resp., II) that are in . In fact, and are disjoint subarcs of whose common endpoint is determined by the relation
[TABLE]
(Thus, plugging and into (4.4) yields . A bit of inspection shows that contains exactly one point with this property. We note that the number satisfies and coincides with the unique positive root of the equation .) Precisely speaking, is the closed subarc of with endpoints and , while is the complementary (half-open) subarc with endpoints and .
Rewriting the equation of the ellipse (of which forms part) as
[TABLE]
we may parametrize in the form
[TABLE]
where and correspond to the parameter ranges and .
Accordingly, the quantity with admits a fairly simple expression in terms of the coordinate. Namely, for , we combine (4.7) with (5.4) to obtain
[TABLE]
whereas for we invoke (4.8) in conjunction with (5.4) to get
[TABLE]
Differentiating, we find that the function
[TABLE]
has a minimum at
[TABLE]
(which is an interior point of ) and
[TABLE]
Moreover, is the only point in where the minimum in question is attained. We further observe that the function
[TABLE]
is increasing on its domain ; this is again verified by differentiation.
From (5.5) and (5.6) we know that equals when , and when . The critical value of the variable corresponds to the point , which represents the polynomial . Because is also continuous at (as it is everywhere else), the above facts about the and functions allow us to conclude that
[TABLE]
and that is the only extremal polynomial for .
It remains to consider the case where . Since and , the formula (4.4) yields , whence in particular
[TABLE]
It now follows from Lemma 4.3 that is of type II, and moreover,
[TABLE]
Clearly, this is minimized by assigning the largest admissible value, , to the variable. In other words, the only extremal polynomial for is , and so
[TABLE]
Finally, a quick glance at (5.3), (5.7) and (5.8) reveals that the smallest of the three infima is that over . This implies the extremality (and uniqueness) of among all polynomials with . By symmetry, a similar role is played by among the polynomials with . The proof is complete. ∎
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