
TL;DR
This paper proves the Khavinson conjecture in three dimensions, establishing a sharp inequality for the gradient of bounded harmonic functions in the unit ball, resolving an open problem posed in 1992.
Contribution
It provides the first proof of the Khavinson conjecture in \\mathbb{R}^3, offering a precise gradient bound that improves previous partial results.
Findings
Established a sharp gradient inequality for harmonic functions in 3D
Resolved the open Khavinson conjecture in three dimensions
Enhanced understanding of extremal problems for harmonic functions
Abstract
\begin{abstract} This paper deals with an extremal problem for bounded harmonic functions in the unit ball We solve the Khavinson conjecture in an intriguing open question since 1992 posed by D. Khavinson, later considered in a general context by Kresin and Maz'ya. Precisely, we obtain the following inequality: with thus sharpening the previously known with instead of where \end{abstract}
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A proof of the Khavinson conjecture
Petar Melentijević
Abstract.
This paper deals with an extremal problem for bounded harmonic functions in the unit ball We solve the Khavinson conjecture in an intriguing open question since 1992 posed by D. Khavinson, later considered in a general context by Kresin and Maz’ya. Precisely, we obtain the following inequality:
[TABLE]
with thus sharpening the previously known with instead of where
Key words and phrases:
Khavinson problem, Bounded harmonic functions, Gradient of function, Radial derivative, Sharp estimate, Unit ball
2010 Mathematics Subject Classification:
Primary 35B30, Secondary 35J05
The author is partially supported by MPNTR grant 174017, Serbia
1. Introduction
1.1. Gradient estimates for harmonic and analytic functions.
Sharp estimates of harmonic functions are important at many places in physics. According to [22] by Protter and Weinberger, these problems arose naturally in the theory of hydrodynamics of ideal or the viscous incompressible fluids, elasticity theory, electrostatics and others.
Many of such sharp estimates are known. We recall here some of them.
First, in the mentioned book of Protter and Weinberger there is the following estimate for the absolute value of the gradient of a harmonic function:
[TABLE]
where is harmonic function in is the area of the unit sphere , is the oscillation of in while denotes the distance of from The inequality (1) is a consequence of the next best-constant inequality
[TABLE]
see Khavinson [10], Burgeth [3].
Some inequalities from analytic function theory can also be restated as inequalities for harmonic functions. Such are the so-called real-part theorems, with some characteristics of the real-parts of a function as the majorant. It is the case with Hadamard real-part theorem [5] and the whole collection of similar inequalities in [13]. Also, some pointwise sharp estimates for modulus of derivatives of analytic functions can be found in [16]. We will mention that:
[TABLE]
for analytic functions can be also seen as
[TABLE]
for a harmonic function in the unit disk The last classical result is improved by Kalaj and Vuorinen in [9]; their form of this inequality is
[TABLE]
for real-valued harmonic functions with for every The inequality (3) is equivalent to the fact that harmonic functions with the assumed properties are Lipschitz with constant with respect to hyperbolic metric. Mateljević in [19] showed that this result can be concluded from Ahlfors-Schwarz lemma. Let us mention that similar results for harmonic functions and hyperbolic metric are contained in papers [18],[4] and [20]. Also, some sharp inequalities for harmonic functions are given in [7] and [8].
1.2. The Khavinson problem
In his paper [10] from 1992, Dmitriy Khavinson found the sharp pointwise constant in the estimate for the absolute value of the radial derivative of a bounded harmonic function in the unit ball
In a private communication with Vladimir Maz’ya and Gershon Kresin he said that he believed that the stronger inequality holds for the modulus of the gradient of a bounded harmonic function in place of the radial derivative.
To give the precise statement of the problem, we introduce some notation. We consider bounded harmonic functions in —it is common to denote this function space by see [2],[21]. For every by we denote the best constant in the next inequality for the derivative of at in the direction :
[TABLE]
while for the appropriate constant for the modulus of the gradient we use
[TABLE]
Since
[TABLE]
we clearly have that
[TABLE]
We are especially interested for radial direction, which is, for defined as where is the norm of
In their paper [11], Kresin and Maz’ya posed the generalized Khavinson problem for bounded harmonic functions in the unit ball as:
Conjecture 1** ([11], [10]).**
[TABLE]
In the same paper, they obtain the sharp inequalities for the radial and tangential derivatives of such functions and solved the analogous problem for harmonic functions with the integrable boundary values for and . Also, the same authors in [12] solved the half-space analog of this problem for and In fact, they precisely proved:
[TABLE]
for a real bounded harmonic function in the -dimensional upper-half space
1.3. Partial solutions of generalised Khavinson problem
Marijan Marković considered the problem in special situation when is near the boundary. He confirmed Khavinson conjecture in this setting and also gave some conclusions and formulas in general. We will appeal to some of his conclusions later. As first, let us say that he showed that it is enough to prove the conjecture in special case considering only directions of the form He obtained the following formula for the quantity :
[TABLE]
where
[TABLE]
with , and Here, and is the area of
In this circumference, generalized Khavinson conjecture is equivalent with the fact that
Using the formula (8), David Kalaj in [6] prove the conjecture in the unit ball in But, as it can be seen from the definition of , this formula for suitable for Marković’s considerations, is not the appropriate one for treating the case when is odd. This is the main reason why this problem is considered to be hard especially for .
1.4. Organisation of the paper and results
We prove a representation formula which we will prove in the second section:
Theorem 1**.**
For every the following integral representation for holds:
[TABLE]
This formula enabled us to reduce Khavinson problem on finding the maximum of some function . In fact, since it seems to be very hard to do that directly, we find the majorant which satisfies and In order to do this more effectively, we prove some unexpected integral identities in the third section, thus obtaining the appropriate majorant in the fourth section. These identities include hypergeometric functions and seems to have independent interest. For general information on these functions, see [1]. The last section is devoted to the detailed analysis of and the final proof of our main theorem(Conjecture 1.1 in ):
Theorem 2**.**
If is a bounded harmonic function in the unit ball then we have the following sharp inequality:
[TABLE]
with
2. A general representation formula for the sharp constant
In [17] Marković gives some general observations about the problem in We start from his conclusion that it is enough to prove the conjecture for of the form and directions given by
We start from the formula for the optimal constant in the inequality
[TABLE]
for and the direction given by:
[TABLE]
where is the Poisson kernel for the unit ball
Mobius transform
[TABLE]
where
[TABLE]
together with some calculations (see [17] for details) gives us:
[TABLE]
where
[TABLE]
So, the problem is, in fact, two-dimensional. We see this, since for fixed there exists an orthogonal matrix such that
[TABLE]
Then we have:
[TABLE]
we have:
[TABLE]
Now, the Khavinson conjecture is equivalent with the fact that, for fixed the maximum of the last integral as a function on is attained at
To expand the integral in (14), let us note that the integrand depends only on and To do the expansion, we prove the following lemma which gives us the formula for integrals over the sphere of functions which depends on variables. It is a real counterpart of the Lemma from Rudin’s book [23].
Lemma 1**.**
Let be a continuous function on the closed ball which depends on first variables. If is projection on , we have:
[TABLE]
where is normalized area measure and normalised Lebesgue volume measure.
Proof.
Let us take for some Then, we define:
[TABLE]
To find the exact value of the constant that in the statement of our Lemma, let us set :
[TABLE]
therefore:
[TABLE]
Applying our Lemma 1, we get:
[TABLE]
Calculation of the inner integral will be done in the next lemma. We will invoke it at the appropriate places in the proof.
Lemma 2**.**
For and there holds the following identity:
[TABLE]
Proof.
We change variable by :
[TABLE]
Using power series expansion
[TABLE]
we get:
[TABLE]
We easily find that
[TABLE]
Since by duplication formula for Gamma function, we have
[TABLE]
Using now Lemma 2 i.e. (16), we get:
[TABLE]
i.e. our Theorem 1.
3. Three important integral identities
Before we can come to the main estimate, we need three integral identities. We derive the first two of them from Lemma 1 using it for some special choices of the function Identities are given by the next lemmata.
Lemma 3**.**
*We have the following equality for all and *
[TABLE]
Proof.
Using Lemma 1 for where , we get
[TABLE]
by Lemma 2.
On the other hand, introducing the change of variables, and for we get:
[TABLE]
Comparing these two expressions for we conclude the proof of (17). ∎
One more necessary identity is given by the following lemma.
Lemma 4**.**
There holds the following identity for all and
[TABLE]
Proof.
Similarly as in Lemma 3, using Lemma 1 and Lemma 2 for function we get
[TABLE]
On the other hand, introducing the change of variables, and for we get:
[TABLE]
The integral is equal to zero, since the function under the integral sign is odd on
These integrals we expand using Lemma 1 thus obtaining:
[TABLE]
The procedure is the same as in the some of previous calculations. Finally, equalizing two expressions for the same integral we get the identity (18). ∎
The last lemma, we mention here has already been proved by Marković and its half-space counterpart by Maz’ya and Kresin, but we will also give an easy and quick proof.
Lemma 5**.**
For all and we have the next identity:
[TABLE]
Proof.
Denote that the integrand is similar to the representation of with the one, but crucial difference—we do not have absolute brackets around the So, since all transformations that we apply to obtain our integral expression for save equality without these brackets, we have that
[TABLE]
is, in fact, by (12), equal to on for function on and . But this is equal to is, in fact, equal to on and since by the uniqueness of harmonic extension, the proof follows. ∎
4. Construction of the majorant
As we have said in the introduction, the crux of the proof is construction of the majorant with the maximum in and the same value in as
Starting from the general representation formula, we split the hypergeometric function into two parts:
[TABLE]
Now, lemmas from the previous section suggest that we can evaluate the last integral with or \big{(}\frac{n-2}{n}\rho\cos\alpha-x\big{)}^{2} in place of so we estimate it by Cauchy-Schwarz inequality:
[TABLE]
Let us denote:
[TABLE]
[TABLE]
and
[TABLE]
Majorant for which we have searched for is \tilde{C}=\frac{n}{1-\rho^{2}}\frac{n-2}{2\pi}\operatorname{B}\big{(}\frac{1}{2},\frac{n}{2}-1\big{)}\big{(}S+\sqrt{S_{1}S_{2}}\big{)}. Denote that as it is needed.
5. Proof of the Theorem 2
In this section we will find the explicit formulas for the functions and when We see that:
[TABLE]
thus, by Lemma 4 obtaining that
[TABLE]
Also, from Lemma 3, we get:
[TABLE]
We need also the following two integrals:
[TABLE]
and
[TABLE]
Now, appealing to Lemmas 3,4 and 5, we find and
[TABLE]
Also, using
[TABLE]
we find
[TABLE]
To find a majorant, with which we can handle more effectively, we proceed in the following manner. We estimate from the above with by the arithmetic-geometric mean inequality with and therefore get the majorant Denote that this majorant has the same value for as with
We easily calculate
[TABLE]
(This formula we use for while for we can calculate this majorant from the integral expressions. Also, we expect certain cancellations to achieve the function bounded for )
We can expand square roots using binomial series as:
[TABLE]
Similarly:
[TABLE]
and
[TABLE]
These expansions give us:
[TABLE]
where
[TABLE]
for Specially, we have
[TABLE]
Formulas
[TABLE]
for , gives us
[TABLE]
To complete the proof of our main theorem, we need the following two lemmas.
Lemma 6**.**
Coefficients are negative for all and
Proof.
We easily see that
[TABLE]
where and
Therefore, the sign of the is determined by the sign of the expression on the right hand side of the previous equation. Let us consider the function:
[TABLE]
First, we will prove that it is monotone increasing on . Namely, its first derivative is equal to:
[TABLE]
and the quadratic polynomial is positive for all and since its discriminant is negative for
Hence, which gives us:
[TABLE]
[TABLE]
and, taking into account that to finish the proof of the lemma, we must prove
[TABLE]
But, since and for all we see that is increasing, while is decreasing. It is easy to check that and therefore the proof of this lemma is complete.
∎
Let us consider, like in (24), the function
[TABLE]
The next lemma considers behavior od this function near the point
Lemma 7**.**
**
Proof.
Let us first denote that, in fact, for Hence, we have:
[TABLE]
Differentiating (23), we get:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Therefore:
[TABLE]
since this is equivalent with:
[TABLE]
Now the lemma follows.
∎
We can now finish the proof of our main theorem. In fact, we have to conclude that has its maximum in or, what is the same, defined by (25), attains its maximum in Differentiating two times, we get and Lemma 6 implies that Hence, is decreasing and , while Lemma 7 gives us Therefore, increases and has the maximum in consequently
Acknowledgements. The author wishes to express his gratitude to Miroslav Pavlović, Milan Lazarević and Nikola Milinković for their valuable suggestions and comments that have improved the quality of the paper. The author is partially supported by MPNTR grant, no. 174017, Serbia.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2[2] S. Axler, P. Bourdon W. Ramey Harmonic Function Theory Springer, New York, 2001.
- 3[3] B. Burgeth A Schwarz Lemma for harmonic and hyperbolic-harmonic functions in higher dimensions Manuscripta Math. 77(1992), 283-296.
- 4[4] F. Colonna The Bloch constant of bounded harmonic mappings Indiana University Math. J. , 38(1989), 829-840.
- 5[5] J. Hadamard Sur les fonctions entieres de la forme e G ( X ) superscript 𝑒 𝐺 𝑋 e^{G(X)} C. R. Acad. Sci. 114(1892), 1053-1055.
- 6[6] D. Kalaj A proof of Khavinson conjecture in ℝ 4 superscript ℝ 4 \mathbb{R}^{4} Bull. London Math. Soc. , 49(4)(2017), 561-570.
- 7[7] D. Kalaj M. Marković Optimal estimates for harmonic functions in the unit ball Positivity 16(2012), 771-782.
- 8[8] D. Kalaj M. Marković. Optimal Estimates for the Gradient of Harmonic Functions in the Unit Disk Complex Analysis and Operator Theory , 7(2013), 1167-1183.
