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HARDY INEQUALITIES FOR FRACTIONAL INTEGRALS ON GENERAL DOMAINS

MICHAEL LOSS 1 AND CRAIG SLOANE 1

Abstract

We prove a sharp Hardy inequality for fractional integrals for functions that are supported in a general domain. The constant is the same as the one for the half-space and hence our result settles a recent conjecture of Bogdan and Dyda.

1. INTRODUCTION

In this note we prove a conjecture by Bogdan and Dyda [3] concerning Hardy inequalities for fractional integrals. It was shown in [3] that for any function $f$ supported in the half-space $\mathbb{H}^n = {x \in \mathbb{R}^n : x = (x_1, \dots, x_n), x_n > 0}$

12Hn×Hnf(x)f(y)2xyn+αdxdyκn,αHnf(x)2xnαdx.(1)\frac{1}{2} \int_{\mathbb{H}^n \times \mathbb{H}^n} \frac{|f(x) - f(y)|^2}{|x - y|^{n+\alpha}} dx dy \geq \kappa_{n,\alpha} \int_{\mathbb{H}^n} \frac{|f(x)|^2}{x_n^\alpha} dx. \quad (1)

Here $0 < \alpha < 2$ and

κn,α=πn12Γ(1+α2)Γ(n+α2)1α[21απΓ(2α2)Γ(1+α2)1](2)\kappa_{n,\alpha} = \pi^{\frac{n-1}{2}} \frac{\Gamma(\frac{1+\alpha}{2})}{\Gamma(\frac{n+\alpha}{2})} \frac{1}{\alpha} \left[ \frac{2^{1-\alpha}}{\sqrt{\pi}} \Gamma\left(\frac{2-\alpha}{2}\right) \Gamma\left(\frac{1+\alpha}{2}\right) - 1 \right] \quad (2)

is the sharp constant. Note that $\kappa_{n,1} = 0$ and $\kappa_{n,\alpha} > 0$ otherwise.

It was conjectured in [3] that for $1 < \alpha < 2$ this inequality continues to hold with the same constant for any convex set $\Omega$ , i.e., for functions $f$ supported in $\Omega$

12Ω×Ωf(x)f(y)2xyn+αdxdyκn,αΩf(x)2dΩ(x)αdx,(3)\frac{1}{2} \int_{\Omega \times \Omega} \frac{|f(x) - f(y)|^2}{|x - y|^{n+\alpha}} dx dy \geq \kappa_{n,\alpha} \int_{\Omega} \frac{|f(x)|^2}{d_{\Omega}(x)^\alpha} dx, \quad (3)

where $d_{\Omega}(x)$ denotes the distance from the point $x \in \Omega$ to the boundary of $\Omega$ . This is a precise analogue of the Hardy inequality due to Davies [8]. For $0 < \alpha < 1$ the inequality cannot hold for compact sets. A counterexample is given in [5].

Sharp Hardy inequalities analogous to (3) but for the $L^p$ -norms of gradients of functions are well known. The first result is due to Davies [8] for the case $p = 2$ . The case for arbitrary $p$ is derived in [14] and [13]. For a review the reader may consult [9]. Let us add that these results have been considerably generalized in [1].

Hardy inequalities for fractional integrals are of a more recent provenience, in particular the higher dimensional versions were investigated by Dyda (see [5]) in great generality following previous work in [12] and [6]. While Hardy inequalities for fractional integrals are of interest in their own right, they deliver also spectral information on the generators of censored stable processes. The generator of a censored stable process is defined by the closure of the quadratic


Date: November 3, 2018.

1Work partially supported by NSF Grant DMS 0901304.

©2009 by the authors. This paper may be reproduced, in its entirety, for non-commercial purposes.form on the left side of (3). Loosely speaking it is a stable process with the jumps between $\Omega$ and its complement suppressed. The reference [2] contains the construction of censored stable processes and a wealth of information about these. For the connection between Hardy inequalities and censored stable processes the reader may consult [6].

Since we prove a stronger result than (3) we need a few concepts before we can state the result. Let $\Omega$ be any domain in $\mathbb{R}^n$ with non-empty boundary. The following notion is taken from Davies [7]. Fix a direction $w \in \mathbb{S}^{n-1}$ and define

dw,Ω(x)=min{t:x+twΩ}.(4)d_{w,\Omega}(x) = \min\{|t| : x + tw \notin \Omega\} . \quad (4)

Further, define the function

δw,Ω(x)=sup{t:x+twΩ},(5)\delta_{w,\Omega}(x) = \sup\{|t| : x + tw \in \Omega\} , \quad (5)

i.e., $\delta_{w,\Omega}(x)$ is the point in the intersection of the line $x + tw$ and $\Omega$ that is farthest away from $x$ and set

1Mα(x)α:=Sn1dw[1dw,Ω(x)+1δw,Ω(x)]αSn1dwwnα.(6)\frac{1}{M_\alpha(x)^\alpha} := \frac{\int_{\mathbb{S}^{n-1}} dw \left[ \frac{1}{d_{w,\Omega}(x)} + \frac{1}{\delta_{w,\Omega}(x)} \right]^\alpha}{\int_{\mathbb{S}^{n-1}} dw |w_n|^\alpha} . \quad (6)

The integral in the denominator can be easily computed to be

Sn1dwwnα=2πn12Γ(1+α2)Γ(n+α2)(7)\int_{\mathbb{S}^{n-1}} dw |w_n|^\alpha = 2\pi^{\frac{n-1}{2}} \frac{\Gamma(\frac{1+\alpha}{2})}{\Gamma(\frac{n+\alpha}{2})} \quad (7)

These definitions are analogous to the one in [7] where all estimates are expressed in terms of

1m2(x)2=Sn1dw1dw,Ω(x)2Sn1/n.\frac{1}{m_2(x)^2} = \frac{\int_{\mathbb{S}^{n-1}} dw \frac{1}{d_{w,\Omega}(x)^2}}{|\mathbb{S}^{n-1}|/n} .

In case the domain $\Omega$ is convex, the quantity $M_\alpha(x)$ can be bounded in terms of $d_\Omega(x)$ and $D_\Omega(x)$ , the ‘width of $\Omega$ with respect to $x$ ’. For convex domains with smooth boundary, this quantity is given by the width of the smallest slab that contains $\Omega$ and consists of two parallel hyper-planes one of which is tangent to $\partial\Omega$ at the point closest to $x$ . For general convex sets we define it as follows. Fix $x \in \Omega$ arbitrary and pick a point $z$ on the boundary of $\Omega$ that is closest to $x$ , so that $d_\Omega(x) = |x - z|$ . In general, there may be more than one such point. Denote by $P_z$ the set of supporting hyper-planes of $\Omega$ that pass through the point $z$ and set

Px=zΩ,zx=dΩ(x)Pz.\mathcal{P}_x = \cup_{z \in \partial\Omega, |z-x|=d_\Omega(x)} P_z .

For $P \in \mathcal{P}x$ , we denote by $S(P)$ the smallest slab that contains $\Omega$ and is bounded by $P$ on one side and a hyper-plane parallel to it on the other. Such a slab might be a half space if $\Omega$ is unbounded. The width $D{S(P)}$ of the slab $S(P)$ is, naturally, the distance between the two bounding hyper-planes. We set $D_{S(P)} = \infty$ if $S(P)$ is a half space. Now we define

DΩ(x)=infPPxDS(P).(8)D_\Omega(x) = \inf_{P \in \mathcal{P}_x} D_{S(P)} . \quad (8)

The inequality

1Mα(x)α[1dΩ(x)+1DΩ(x)dΩ(x)]α,(9)\frac{1}{M_\alpha(x)^\alpha} \geq \left[ \frac{1}{d_\Omega(x)} + \frac{1}{D_\Omega(x) - d_\Omega(x)} \right]^\alpha , \quad (9)

follows from

Sn1dw[1dw,Ω(x)+1δw,Ω(x)]αSn1dwwnα[1dΩ(x)+1DΩ(x)dΩ(x)]α.(10)\int_{\mathbb{S}^{n-1}} dw \left[ \frac{1}{d_{w,\Omega}(x)} + \frac{1}{\delta_{w,\Omega}(x)} \right]^\alpha \geq \int_{\mathbb{S}^{n-1}} dw |w_n|^\alpha \left[ \frac{1}{d_\Omega(x)} + \frac{1}{D_\Omega(x) - d_\Omega(x)} \right]^\alpha . \quad (10)Indeed, for given $P$ pick coordinates such that the standard vector $e_n$ is normal to the plane $P$ . Clearly $d_{w,\Omega}(x) \leq d_{w,S(P)}(x)$ and $\delta_{w,\Omega}(x) \leq \delta_{w,S(P)}(x)$ . Further, note that $d_{w,S(P)}(x) + \delta_{w,S(P)}(x)$ is the length of the segment given by intersecting the slab $S(P)$ with the line $x + tw$ . Projecting this segment onto the line normal to the slab yields

dw,S(P)(x)wn=dΩ(x),δw,S(P)(x)wn=DS(P)dΩ(x).d_{w,S(P)}(x)|w_n| = d_\Omega(x), \quad \delta_{w,S(P)}(x)|w_n| = D_{S(P)} - d_\Omega(x).

Note that there may exist directions $w$ where the length of this segment is not finite in which case we set $D_{S(P)} = \infty$ . Thus,

[1dw,Ω(x)+1δw,Ω(x)]αwnα[1dΩ(x)+1DS(P)dΩ(x)]α\left[ \frac{1}{d_{w,\Omega}(x)} + \frac{1}{\delta_{w,\Omega}(x)} \right]^\alpha \geq |w_n|^\alpha \left[ \frac{1}{d_\Omega(x)} + \frac{1}{D_{S(P)} - d_\Omega(x)} \right]^\alpha

holds for all $P \in \mathcal{P}_x$ . Taking the supremum over $\mathcal{P}_x$ and integrating with respect to $w$ over the unit sphere yields (10). With these preparations we can state our main theorem.

Theorem 1.1. Let $\Omega$ be a domain with non-empty boundary and $1 < \alpha < 2$ . For any $f \in C_c^\infty(\Omega)$

12Ω×Ωf(x)f(y)2xyn+αdxdyκn,αΩf(x)2Mα(x)αdx.(11)\frac{1}{2} \int_{\Omega \times \Omega} \frac{|f(x) - f(y)|^2}{|x - y|^{n+\alpha}} dx dy \geq \kappa_{n,\alpha} \int_{\Omega} \frac{|f(x)|^2}{M_\alpha(x)^\alpha} dx. \quad (11)

In particular, if $\Omega$ is a convex region then for any $f \in C_c^\infty(\Omega)$

12Ω×Ωf(x)f(y)2xyn+αdxdyκn,αΩf(x)2[1dΩ(x)+1DΩ(x)dΩ(x)]αdx(12)\frac{1}{2} \int_{\Omega \times \Omega} \frac{|f(x) - f(y)|^2}{|x - y|^{n+\alpha}} dx dy \geq \kappa_{n,\alpha} \int_{\Omega} |f(x)|^2 \left[ \frac{1}{d_\Omega(x)} + \frac{1}{D_\Omega(x) - d_\Omega(x)} \right]^\alpha dx \quad (12)

where $d_\Omega(x)$ is the distance of $x \in \Omega$ to the boundary of $\Omega$ and $D_\Omega(x)$ is defined in (8). The constant $\kappa_{n,\alpha}$ is best possible.

It was pointed out to us by Rupert Frank and Robert Seiringer that this Theorem 1.1 can be generalized, albeit in a weaker form, by replacing the powers 2 by $p > 1$ . More precisely we have,

Theorem 1.2. Let $1 < p < \infty$ and $1 < \alpha < p$ . Then for any domain $\Omega \subset \mathbb{R}^n$ and any $f \in C_c^\infty(\Omega)$

Ω×Ωf(x)f(y)pxyn+αdxdyDn,p,αΩf(x)pmα(x)αdx(13)\int_{\Omega \times \Omega} \frac{|f(x) - f(y)|^p}{|x - y|^{n+\alpha}} dx dy \geq \mathcal{D}_{n,p,\alpha} \int_{\Omega} \frac{|f(x)|^p}{m_\alpha(x)^\alpha} dx \quad (13)

where

1mα(x)α:=Sn1dw1dw,Ω(x)αSn1dwwnα.(14)\frac{1}{m_\alpha(x)^\alpha} := \frac{\int_{\mathbb{S}^{n-1}} dw \frac{1}{d_{w,\Omega}(x)^\alpha}}{\int_{\mathbb{S}^{n-1}} dw |w_n|^\alpha}. \quad (14)

and

Dn,p,α=2πn12Γ(1+α2)Γ(n+α2)011rα1pp(1r)1+αdr(15)\mathcal{D}_{n,p,\alpha} = 2\pi^{\frac{n-1}{2}} \frac{\Gamma(\frac{1+\alpha}{2})}{\Gamma(\frac{n+\alpha}{2})} \int_0^1 \frac{|1 - r^{\frac{\alpha-1}{p}}|^p}{(1-r)^{1+\alpha}} dr \quad (15)

is the sharp constant. In particular, for $\Omega$ convex

Ω×Ωf(x)f(y)pxyn+αdxdyDn,p,αΩf(x)pdΩ(x)αdx.(16)\int_{\Omega \times \Omega} \frac{|f(x) - f(y)|^p}{|x - y|^{n+\alpha}} dx dy \geq \mathcal{D}_{n,p,\alpha} \int_{\Omega} \frac{|f(x)|^p}{d_\Omega(x)^\alpha} dx. \quad (16)

The constant $\mathcal{D}_{n,p,s}$ has been computed before in [11] as the sharp constant for the Hardy inequality for the half-space. For $0 < p \leq 1$ the inequality continues to hold (see [5]), however, the sharp constant is not known.

In the next section we establish the analogous one dimensional inequalities and then show how an averaging argument leads to the general result. At the end of Section 2 we indicatehow to obtain the result for general values of $p$ . We are grateful to Rupert Frank and Robert Seiringer to allow us to include arguments in our work. We present them at the end of our paper.

Acknowledgment: M.L. would like to thank the Erwin Schrödinger Institut for its kind hospitality and useful discussions with Thomas Hoffmann-Ostenhof. The authors thank an anonymous referee for suggesting various improvements of the manuscript.

2. THE ONE DIMENSIONAL PROBLEM

The proof of Theorem 1.1 will rely heavily on the following one dimensional inequality.

Theorem 2.1. Let $f \in C_c^\infty((a, b))$ . Then for all $1 < \alpha < 2$ we have

12(a,b)×(a,b)f(x)f(y)2xy1+αdxdyκ1,αabf(x)2(1xa+1bx)αdx.(17)\frac{1}{2} \int_{(a,b) \times (a,b)} \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy \geq \kappa_{1,\alpha} \int_a^b |f(x)|^2 \left( \frac{1}{x-a} + \frac{1}{b-x} \right)^\alpha dx. \quad (17)

The idea of proving Theorem 2.1 is to reduce the problem on the interval to a problem on the half-line via a fractional linear mapping. The reader may consult [4] for further examples where inversion symmetry is used to obtain sharp functional inequalities.

Lemma 2.2 (Invariance under fractional linear transformations). Let $f$ be any function in $C_c^\infty(\mathbb{R} \setminus {0})$ . Consider the inversion $x \rightarrow 1/x$ and set

g(x)=I(f)(x):=xα1f(1x).g(x) = I(f)(x) := |x|^{\alpha-1} f\left(\frac{1}{x}\right).

Then $g \in C_c^\infty(\mathbb{R})$ and

R×Rg(x)g(y)2xy1+αdxdy=R×Rf(x)f(y)2xy1+αdxdy.(18)\int_{\mathbb{R} \times \mathbb{R}} \frac{|g(x) - g(y)|^2}{|x - y|^{1+\alpha}} dx dy = \int_{\mathbb{R} \times \mathbb{R}} \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy. \quad (18)

Proof. For fixed $\varepsilon$ consider the regions

R1:={(x,y)R2:xy>1+ε},R_1 := \{(x, y) \in \mathbb{R}^2 : \left| \frac{x}{y} \right| > 1 + \varepsilon\},

and likewise,

R2:={(x,y)R2:yx>1+ε}.R_2 := \{(x, y) \in \mathbb{R}^2 : \left| \frac{y}{x} \right| > 1 + \varepsilon\}.

Now by changing variables $x \rightarrow 1/x$ and $y \rightarrow 1/y$ we find that

R1R2f(x)f(y)2xy1+αdxdy=R1R2f(1/x)f(1/y)2xy1+αxα1yα1dxdy=R1R2g(x)g(y)2xy1+αdxdy+R1R2f(1/x)2(xα1yα1x2(α1))+f(1/y)2(xα1yα1y2(α1))xy1+αdxdy\begin{aligned} \int_{R_1 \cup R_2} \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy &= \int_{R_1 \cup R_2} \frac{|f(1/x) - f(1/y)|^2}{|x - y|^{1+\alpha}} |x|^{\alpha-1} |y|^{\alpha-1} dx dy \\ &= \int_{R_1 \cup R_2} \frac{|g(x) - g(y)|^2}{|x - y|^{1+\alpha}} dx dy \\ &+ \int_{R_1 \cup R_2} \frac{|f(1/x)|^2 (|x|^{\alpha-1} |y|^{\alpha-1} - |x|^{2(\alpha-1)}) + |f(1/y)|^2 (|x|^{\alpha-1} |y|^{\alpha-1} - |y|^{2(\alpha-1)})}{|x - y|^{1+\alpha}} dx dy \end{aligned}

which, by symmetry under exchange of $x$ and $y$ ,

=R1R2g(x)g(y)2xy1+αdxdy+2R1R2f(1/x)2(xα1yα1x2(α1))xy1+αdxdy.= \int_{R_1 \cup R_2} \frac{|g(x) - g(y)|^2}{|x - y|^{1+\alpha}} dx dy + 2 \int_{R_1 \cup R_2} \frac{|f(1/x)|^2 (|x|^{\alpha-1} |y|^{\alpha-1} - |x|^{2(\alpha-1)})}{|x - y|^{1+\alpha}} dx dy.We can write the second term as

Rf(1/x)2xα2{s>1+ε}{1s>1+ε}sα111s1+αds.\int_{\mathbb{R}} |f(1/x)|^2 |x|^{\alpha-2} \int_{\{|s|>1+\varepsilon\} \cup \{\frac{1}{|s|}>1+\varepsilon\}} \frac{|s|^{\alpha-1} - 1}{|1-s|^{1+\alpha}} ds .

The integral

{s>1+ε}{1s>1+ε}sα111s1+αds={s>1+ε}sα111s1+αds+{1s>1+ε}sα111s1+αds\begin{aligned} & \int_{\{|s|>1+\varepsilon\} \cup \{\frac{1}{|s|}>1+\varepsilon\}} \frac{|s|^{\alpha-1} - 1}{|1-s|^{1+\alpha}} ds \\ &= \int_{\{|s|>1+\varepsilon\}} \frac{|s|^{\alpha-1} - 1}{|1-s|^{1+\alpha}} ds + \int_{\{\frac{1}{|s|}>1+\varepsilon\}} \frac{|s|^{\alpha-1} - 1}{|1-s|^{1+\alpha}} ds \end{aligned}

and by changing the variable $s \rightarrow 1/s$ in the last integral we find that this sum vanishes. Letting $\varepsilon \rightarrow 0$ yields (18). $\square$

Proof of Theorem 2.1. By translation and scaling it suffices to prove the result for the interval $(0, 1)$ . Let $f \in C_c^\infty((0, 1))$ . We have to show that

12(0,1)×(0,1)f(x)f(y)2xy1+αdxdyκ1,α01f(x)2(1x+11x)αdx.(19)\frac{1}{2} \int_{(0,1) \times (0,1)} \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy \geq \kappa_{1,\alpha} \int_0^1 |f(x)|^2 \left( \frac{1}{x} + \frac{1}{1-x} \right)^\alpha dx . \quad (19)

Set

g(x)=x+1α1f(11+x).g(x) = |x+1|^{\alpha-1} f\left(\frac{1}{1+x}\right) .

Clearly, $g \in C_c^\infty((0, \infty))$ . Note that

g(x)=I(f)(x+1)g(x) = I(f)(x+1)

and hence we may use Lemma 2.2 and find that

120101f(x)f(y)2xy1+αdxdy+01dxf(x)2R(0,1)1xy1+αdy=12R×Rf(x)f(y)2xy1+αdxdy=12R×Rg(x)g(y)2xy1+αdxdy=1200g(x)g(y)2xy1+αdxdy+0dxg(x)201xy1+αdy(20)\begin{aligned} & \frac{1}{2} \int_0^1 \int_0^1 \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy + \int_0^1 dx |f(x)|^2 \int_{\mathbb{R} \setminus (0,1)} \frac{1}{|x - y|^{1+\alpha}} dy \\ &= \frac{1}{2} \int_{\mathbb{R} \times \mathbb{R}} \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy = \frac{1}{2} \int_{\mathbb{R} \times \mathbb{R}} \frac{|g(x) - g(y)|^2}{|x - y|^{1+\alpha}} dx dy \\ &= \frac{1}{2} \int_0^\infty \int_0^\infty \frac{|g(x) - g(y)|^2}{|x - y|^{1+\alpha}} dx dy + \int_0^\infty dx |g(x)|^2 \int_{-\infty}^0 \frac{1}{|x - y|^{1+\alpha}} dy \end{aligned} \quad (20)

Some of the integrals are easily evaluated and yield

120101f(x)f(y)2xy1+αdxdy=1200g(x)g(y)2xy1+αdxdy+1α0g(x)2xαdx1α01f(x)2(xα+(1x)α)dx.(21)\begin{aligned} & \frac{1}{2} \int_0^1 \int_0^1 \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy = \frac{1}{2} \int_0^\infty \int_0^\infty \frac{|g(x) - g(y)|^2}{|x - y|^{1+\alpha}} dx dy \\ &+ \frac{1}{\alpha} \int_0^\infty \frac{|g(x)|^2}{x^\alpha} dx - \frac{1}{\alpha} \int_0^1 |f(x)|^2 (x^{-\alpha} + (1-x)^{-\alpha}) dx . \end{aligned} \quad (21)

Using the sharp Hardy inequality of Bogdan and Dyda [3] on the half-line yields

120101f(x)f(y)2xy1+αdxdyκ1,α0g(x)2xαdx+1α0g(x)2xαdx1α01f(x)2(xα+(1x)α)dx(22)\begin{aligned} & \frac{1}{2} \int_0^1 \int_0^1 \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy \geq \kappa_{1,\alpha} \int_0^\infty \frac{|g(x)|^2}{x^\alpha} dx \\ &+ \frac{1}{\alpha} \int_0^\infty \frac{|g(x)|^2}{x^\alpha} dx - \frac{1}{\alpha} \int_0^1 |f(x)|^2 (x^{-\alpha} + (1-x)^{-\alpha}) dx \end{aligned} \quad (22)Changing variables, i.e., expressing everything in terms of the function $f$ , we arrive at the inequality

120101f(x)f(y)2xy1+αdxdyκ1,α01f(x)2(1x(1x))αdx+1α01f(x)21xα(1x)α(x(1x))αdx(23)\begin{aligned} & \frac{1}{2} \int_0^1 \int_0^1 \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy \\ & \geq \kappa_{1,\alpha} \int_0^1 |f(x)|^2 \left( \frac{1}{x(1-x)} \right)^\alpha dx + \frac{1}{\alpha} \int_0^1 |f(x)|^2 \frac{1 - x^\alpha - (1-x)^\alpha}{(x(1-x))^\alpha} dx \end{aligned} \quad (23)

Finally, we note that for $1 < \alpha < 2$

1xα(1x)α01 - x^\alpha - (1-x)^\alpha \geq 0

which proves the inequality (19). $\square$

Theorem 2.1 generalizes easily to open sets on the real line.

Corollary 2.3. Let $J \subset \mathbb{R}$ be an open set and $1 < \alpha < 2$ . Then for any $f \in C_c^\infty(J)$

12J×Jf(x)f(y)2xy1+αdxdyκ1,αJf(x)2(1dJ(x)+1δJ(x))αdx,(24)\frac{1}{2} \int_{J \times J} \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy \geq \kappa_{1,\alpha} \int_J |f(x)|^2 \left( \frac{1}{d_J(x)} + \frac{1}{\delta_J(x)} \right)^\alpha dx, \quad (24)

where $\delta_J(x)$ is defined in (5).

Proof. Since any open set $J \subset \mathbb{R}$ is a countable union of disjoint intervals $I_k$ we find, using Theorem 2.1, that

12JJf(x)f(y)2xy1+αdxdy12k=1IkIkf(x)f(y)2xy1+αdxdyk=1κ1,αIkf(x)2(1dIk(x)+1δIk(x))αdxκ1,αJf(x)2(1dJ(x)+1δJ(x))αdx.(25)\begin{aligned} & \frac{1}{2} \int_J \int_J \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy \geq \frac{1}{2} \sum_{k=1}^\infty \int_{I_k} \int_{I_k} \frac{|f(x) - f(y)|^2}{|x - y|^{1+\alpha}} dx dy \\ & \geq \sum_{k=1}^\infty \kappa_{1,\alpha} \int_{I_k} |f(x)|^2 \left( \frac{1}{d_{I_k}(x)} + \frac{1}{\delta_{I_k}(x)} \right)^\alpha dx \\ & \geq \kappa_{1,\alpha} \int_J |f(x)|^2 \left( \frac{1}{d_J(x)} + \frac{1}{\delta_J(x)} \right)^\alpha dx. \end{aligned} \quad (25)

$\square$

Lemma 2.4 (Reduction to one dimension). Let $\Omega$ be any region in $\mathbb{R}^n$ and assume that $f \in C_c^\infty(\Omega)$ . Then

Ω×Ωf(x)f(y)pxyn+αdxdy=12Sn1dw{x:xw=0}dLw(x)x+swΩdsx+twΩdtf(x+sw)f(x+tw)pst1+α(26)\begin{aligned} & \int_{\Omega \times \Omega} \frac{|f(x) - f(y)|^p}{|x - y|^{n+\alpha}} dx dy \\ & = \frac{1}{2} \int_{\mathbb{S}^{n-1}} dw \int_{\{x: x \cdot w = 0\}} d\mathcal{L}_w(x) \int_{x+sw \in \Omega} ds \int_{x+tw \in \Omega} dt \frac{|f(x+sw) - f(x+tw)|^p}{|s - t|^{1+\alpha}} \end{aligned} \quad (26)

where $\mathcal{L}_w$ denotes the $(n-1)$ dimensional Lebesgue measure on the plane $x \cdot w = 0$ .

Proof. We write the expression

IΩ(f):=Ω×Ωf(x)f(y)pxyn+αdxdyI_\Omega(f) := \int_{\Omega \times \Omega} \frac{|f(x) - f(y)|^p}{|x - y|^{n+\alpha}} dx dy

in the form

Ωdx{x+zΩ}dzf(x)f(x+z)pzn+α\int_\Omega dx \int_{\{x+z \in \Omega\}} dz \frac{|f(x) - f(x+z)|^p}{|z|^{n+\alpha}}and using polar coordinates $z = rw$ we arrive at the expression

IΩ(f)=ΩdxSn1dw{x+rwΩ,r>0}drf(x)f(x+rw)pr1+α,=12Sn1dwΩdx{x+hwΩ}dhf(x)f(x+hw)ph1+α.(27)\begin{aligned} I_{\Omega}(f) &= \int_{\Omega} dx \int_{\mathbb{S}^{n-1}} dw \int_{\{x+rw \in \Omega, r>0\}} dr \frac{|f(x) - f(x+rw)|^p}{r^{1+\alpha}}, \\ &= \frac{1}{2} \int_{\mathbb{S}^{n-1}} dw \int_{\Omega} dx \int_{\{x+hw \in \Omega\}} dh \frac{|f(x) - f(x+hw)|^p}{|h|^{1+\alpha}}. \end{aligned} \quad (27)

Thus, the domain of integration in the innermost integral is the line $x + hw$ intersected with the domain $\Omega$ . Splitting the variable $x$ into a component perpendicular to $w$ and parallel to $w$ , i.e., replacing $x$ by $x + sw$ , where $x \cdot w = 0$ , we arrive at

12Sn1dw{x:xw=0}dLw(x){x+swΩ}ds{x+(s+h)wΩ}dhf(x+sw)f(x+(s+h)w)ph1+α\frac{1}{2} \int_{\mathbb{S}^{n-1}} dw \int_{\{x: x \cdot w = 0\}} d\mathcal{L}_w(x) \int_{\{x+sw \in \Omega\}} ds \int_{\{x+(s+h)w \in \Omega\}} dh \frac{|f(x+sw) - f(x+(s+h)w)|^p}{|h|^{1+\alpha}}

The variable change $t = s + h$ yields (26). $\square$

Proof of Theorem 1.1. By Lemma 2.4 and Corollary 2.3 we find that

12Ω×Ωf(x)f(y)2xyn+αdxdy=14Sn1dw{x:xw=0}dLw(x)x+swΩdsx+twΩdtf(x+sw)f(x+tw)2st1+ακ1,α12Sn1dw{x:xw=0}dLw(x)x+swΩdsf(x+sw)2[1dw(x+sw)+1δw(x+sw)]α=κ1,α12Sn1dwΩf(x)2[1dw,Ω(x)+1δw,Ω(x)]αdx=κn,αΩf(x)2Mα(x)αdx,(28)\begin{aligned} &\frac{1}{2} \int_{\Omega \times \Omega} \frac{|f(x) - f(y)|^2}{|x - y|^{n+\alpha}} dx dy \\ &= \frac{1}{4} \int_{\mathbb{S}^{n-1}} dw \int_{\{x: x \cdot w = 0\}} d\mathcal{L}_w(x) \int_{x+sw \in \Omega} ds \int_{x+tw \in \Omega} dt \frac{|f(x+sw) - f(x+tw)|^2}{|s - t|^{1+\alpha}} \\ &\geq \kappa_{1,\alpha} \frac{1}{2} \int_{\mathbb{S}^{n-1}} dw \int_{\{x: x \cdot w = 0\}} d\mathcal{L}_w(x) \int_{x+sw \in \Omega} ds |f(x+sw)|^2 \left[ \frac{1}{d_w(x+sw)} + \frac{1}{\delta_w(x+sw)} \right]^{\alpha} \\ &= \kappa_{1,\alpha} \frac{1}{2} \int_{\mathbb{S}^{n-1}} dw \int_{\Omega} |f(x)|^2 \left[ \frac{1}{d_{w,\Omega}(x)} + \frac{1}{\delta_{w,\Omega}(x)} \right]^{\alpha} dx = \kappa_{n,\alpha} \int_{\Omega} \frac{|f(x)|^2}{M_{\alpha}(x)^{\alpha}} dx, \end{aligned} \quad (28)

where we have used (7) in the last equation. It remains to show that the constant $\kappa_{n,\alpha}$ in the inequality (12) is best possible. Pick a hyper-plane $H$ that is tangent to $\Omega$ at a point $P$ . Such hyper-planes exist since $\Omega$ is convex. It was shown in [3] that the constant for the half-space problem, $\kappa_{n,\alpha}$ , is best possible by constructing a sequence of trial functions. Transplanting these trial functions to $\Omega$ near the point $P$ one can show that $\kappa_{n,\alpha}$ is also optimal for (12). The actual proof is a straightforward imitation of the proof of Theorem 5 in [13] and we omit the details. $\square$

We finally come to the proof of Theorem 1.2. We thank Rupert Frank and Robert Seiringer for allowing us to present their argument.

Theorem 2.5. Let $1 < p < \infty$ and $1 < \alpha < p$ . Then for all smooth functions $f$ with $f(0) = 0$ ,

0101f(x)f(y)pxy1+αdxdyD1,p,α01f(x)pxαdx.\int_0^1 \int_0^1 \frac{|f(x) - f(y)|^p}{|x - y|^{1+\alpha}} dx dy \geq \mathcal{D}_{1,p,\alpha} \int_0^1 \frac{|f(x)|^p}{x^{\alpha}} dx.

Proof. Let $\omega(x) = x^{(\alpha-1)/p}$ . Then by [11, Lemma 2.4]

20(ω(x)ω(y))ω(x)ω(y)p2dyxy1+α=D1,p,αxαω(x)p12 \int_0^{\infty} (\omega(x) - \omega(y)) |\omega(x) - \omega(y)|^{p-2} \frac{dy}{|x - y|^{1+\alpha}} = \frac{\mathcal{D}_{1,p,\alpha}}{x^{\alpha}} \omega(x)^{p-1}

where the integral is understood in principal value sense. Since

1(ω(x)ω(y))ω(x)ω(y)p2dyxy1+α0for x[0,1],\int_1^{\infty} (\omega(x) - \omega(y)) |\omega(x) - \omega(y)|^{p-2} \frac{dy}{|x - y|^{1+\alpha}} \leq 0 \quad \text{for } x \in [0, 1],we conclude that

V(x):=2ω(x)p101(ω(x)ω(y))ω(x)ω(y)p2dyxy1+αD1,p,αxαfor x[0,1].V(x) := \frac{2}{\omega(x)^{p-1}} \int_0^1 (\omega(x) - \omega(y)) |\omega(x) - \omega(y)|^{p-2} \frac{dy}{|x - y|^{1+\alpha}} \geq \frac{\mathcal{D}_{1,p,\alpha}}{x^\alpha} \quad \text{for } x \in [0, 1].

Now [10, Prop. 2.2] implies that

0101f(x)f(y)pxy1+αdxdy01V(x)f(x)pdx,\int_0^1 \int_0^1 \frac{|f(x) - f(y)|^p}{|x - y|^{1+\alpha}} dx dy \geq \int_0^1 V(x) |f(x)|^p dx,

which proves the claim. $\square$

An easy consequence is

Theorem 2.6. Let $f \in C_c^\infty((a, b))$ . Then for all $1 < p < \infty$ and $1 < \alpha < p$ we have

12(a,b)×(a,b)f(x)f(y)pxy1+αdxdyD1,p,αabf(x)pmin{(xa),(bx)}αdx.(29)\frac{1}{2} \int_{(a,b) \times (a,b)} \frac{|f(x) - f(y)|^p}{|x - y|^{1+\alpha}} dx dy \geq \mathcal{D}_{1,p,\alpha} \int_a^b \frac{|f(x)|^p}{\min\{(x - a), (b - x)\}^\alpha} dx. \quad (29)

Exactly the same proof as the one of Corollary 2.3 yields

Corollary 2.7. Let $1 < p < \infty$ and $1 < \alpha < p$ . Let $J \subset \mathbb{R}$ be open and $f$ a function on $J$ with $f \in C_c^\infty(J)$ , then

JJf(x)f(y)pxy1+αdxdyD1,p,αJf(x)pdJ(x)αdx.\int_J \int_J \frac{|f(x) - f(y)|^p}{|x - y|^{1+\alpha}} dx dy \geq \mathcal{D}_{1,p,\alpha} \int_J \frac{|f(x)|^p}{d_J(x)^\alpha} dx.

Proof of Theorem 1.2. The proof is a repetition of the arguments in the proof of Theorem 1.1. $\square$

REFERENCES

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  • [9] Davies, E. B. A review of Hardy inequalities. The Maz’ya anniversary collection, Vol. 2 (Rostock, 1998), 55–67, Oper. Theory Adv. Appl., 110, Birkhuser, Basel, 1999.
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  • [11] Frank, R. and Seiringer, R., Sharp fractional Hardy inequalities in half-spaces, arXiv:0906.1561.
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  • [14] Matskewich T. and Sobolevskii P.E. , The best possible constant in generalized Hardys inequality for convex domain in $\mathbb{R}^n$ . Nonlinear Anal., Theory, Methods and Appl., 28 (1997), 1601–1610.GEORGIA INSTITUTE OF TECHNOLOGY, SCHOOL OF MATHEMATICS, ATLANTA GA 30332-0160

loss@math.gatech.edu , csloane@math.gatech.edu

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