We prove several Sobolev inequalities, which are then used to establish a fractional Hardy-Sobolev-Maz'ya inequality on the upper halfspace.
1 Introduction
The present work answers a question by Frank and Seiringer [9] concerning fractional Hardy-Sobolev-Maz'ya inequalities for the upper halfspace in the case $p = 2$ . Let
R+n={x=(x′,xn)∈Rn:x′∈Rn−1,xn>0}
be the upper halfspace, and let $\Omega$ be a domain in $\mathbb{R}^n$ with nonempty boundary. Then, there exists a fractional Hardy inequality on $\mathbb{R}+^n$ which states that there exists $D{n,p,\alpha} > 0$ so that for all $f \in C_c(\mathbb{R}_+^n)$ ,
where $1 \leq p < \infty$ , $0 < \alpha < p$ , and $\alpha \neq 1$ . See, e.g., [7]. Bogdan and Dyda found, in [3], the sharp constant $D_{n,2,\alpha}$ for the $p = 2$ case. Later, the sharp constant, $D_{n,p,\alpha}$ , for general $p$ was found in [9]. Therein, the authors posed the question whether there existed a lower bound to the remainder for the inequality in (1) that is a positive multiple of the $L^{p^*}$ -norm of $f$ , where $p^* = np/(n - \alpha)$ is the critical Sobolev exponent. Such an inequality would be a fractional analogue to the Hardy-Sobolev-Maz'ya inequality on the halfspace. Maz'ya [13] was the first to show the general result
More recently the existence of minimizers for dimensions greater than or equal to 4 [14] and the sharp constant for dimension 3 [4] has been established. Further improvements in the general case have been shown in [10].The following Theorem for the sharp fractional Hardy inequality with remainder was proven by Frank and Seiringer in [9].
THEOREM 1.1.Let $n \geq 1$ , $2 \leq p \leq \infty$ , and $0 < \alpha < p$ with $\alpha \neq 1$ . Then for all $f \in C_c^\infty(\mathbb{R}_+^n)$ ,
Since we are primarily concerned with the case $p = 2$ , we further denote $I_\alpha^\Omega = I_{\alpha,2}^\Omega$ and $J_\alpha^\Omega = J_{\alpha,2}^\Omega$ . Thus, for $p = 2$ , we can rewrite (2) as
Alternatively, we write (4) as $J_{\alpha}^{\mathbb{R}+^n}(f) \geq a{n,\alpha} |f|_{2^*}^2$ , where $|\cdot|_p$ refers to the $L^p$ -norm with usual Lebesgue measure.
2 Sobolev Inequalities
Herein, we establish two Sobolev-type inequalities that we'll need in the proof of Theorem 1.2. We prove each for the more general $p$ -case. The first inequality we prove is for $I_{\alpha,p}^\Omega$ with respect to convex sets $\Omega$ .THEOREM 2.1.Let $p \geq 2$ , $1 < \alpha < \min{n, p}$ , and let $\Omega \subseteq \mathbb{R}^n$ be convex. Then, for all $f \in C_c^\infty(\Omega)$ , there exists $c_{n,p,\alpha} > 0$ so that
Iα,pΩ(f)≥cn,p,α∥f∥p∗p.
Proof. In [12], it is shown
Iα,pΩ(f)≥Dn,p,α∫Ω∣f(x)∣pdΩ(x)−αdx,
for all $f \in C_c(\Omega)^\infty$ , where $d_{\Omega}(x) = \text{dist}(x, \partial\Omega)$ . Further, there exists $S_{n,p,\alpha}$ , see, e.g., [1], Theorems 7.34, 7.47, so that
Iα,pRn(f)≥Sn,p,α∥f∥p∗p,
for all $f \in C_c^\infty(\mathbb{R}^n)$ . Thus, if $B(x, r)$ is the ball of radius $r$ centered at $x$ , then since
where $q = p \left( \frac{n + \frac{\alpha-1}{2}}{n-1} \right)$ .
Since the remainder of the paper deals with the case $p = 2$ , we write $c_{n,\alpha} = c_{n,2,\alpha}$ and $d_{n,\alpha} = d_{n,2,\alpha}$ .
In the next section, we'll show we can minimize over a certain class of functions that are decreasing, albeit not symmetrically. The crux of the proof of Theorem 1.2 in the following section is to decompose this function by truncation and use these two Sobolev inequalities to appropriately bound the $L^{2^*}$ -norms of the resulting "upper" and "lower" functions.### 3 Class of Minimizing Functions
In this section, we determine the properties of those functions that minimize our Rayleigh quotient
To minimize this functional, we'd like to do a rearrangement, but we have the restriction that the function must have support in the upper halfspace. Still, we can rearrange the function along hyperplanes parallel to the boundary of $\mathbb{R}_+^n$ .
In addition, we consider the conformal transformation $T : B(\mathbf{0}, 1) \rightarrow \mathbb{R}_+^n$ , where $\mathbf{0}$ is the origin in $\mathbb{R}^n$ . If we write $\eta(\omega) = 2 / (|\omega'|^2 + (\omega_n + 1)^2)$ , where $\omega = (\omega', \omega_n)$ , $\omega' \in \mathbb{R}^{n-1}$ , $\omega_n \in \mathbb{R}$ , then
Tω=(∣ω′∣2+(ωn+1)22ω′,1−∣ω∣2)=η(ω)(ω′,21−∣ω∣2).
Note that $T$ is an involution, and its Jacobian is $\eta(\omega)^n$ . See, e.g., Appendix, [6]. We define
f~(ω):=η(ω)n/2∗f(Tω),
and since $\eta(Tx) = 1/\eta(x)$ , then
f(x)=η(x)n/2∗f~(Tx).
Thus, if $\text{supp } \tilde{f} \subseteq B(\mathbf{0}, 1)$ , then $\text{supp } f \subseteq \mathbb{R}_+^n$ . Indeed, for any $0 < R < 1$ , if $\text{supp } \tilde{f} \subseteq B(\mathbf{0}, R)$ , then $\text{supp } f \subseteq B^R$ , where we define
We use these results throughout the remainder of this paper. These provide a new “ball” picture in which to consider our inequality and minimization problem. Among other things, we can also perform a rotation of $\tilde{f}$ on the ball. It turns out that repeated application of this rotation, along with the rearrangement mentioned above, result in a limiting function that is radial in the ball picture and whose Rayleigh quotient is always smaller than that of the original.
This first result follows from Carlen and Loss [6].
THEOREM 3.1.Let $n \geq 2$ , $f \in L^{2^}(\mathbb{R}+^n)$ . Then, there exists $F \in L^{2^*}(\mathbb{R}+^n)$ such that*
$|f|{2^*} = |F|{2^*}$ ,
$F$ is nonnegative, symmetric decreasing in hyperplanes parallel to the boundary of $\mathbb{R}_+^n$ ,
$\tilde{F}$ is rotationally symmetric, and
$\Phi_\alpha(f) \geq \Phi_\alpha(F)$ .Proof. Since $|f(x) - f(y)| \geq | |f|(x) - |f|(y) |$ implies $I_{\alpha}^{\mathbb{R}+^n}(f) \geq I{\alpha}^{\mathbb{R}+^n}(|f|)$ , we can assume $f$ is nonnegative. Then, the first three items of this theorem are a direct result of [6], Theorem 2.4. Indeed, let $Uf$ be the transformation of $f$ obtained by a certain fixed rotation of $\tilde{f}$ , as described in [6]. In particular, using the rotation $\mathbf{R} : (x_1, \dots, x{n-1}, x_n) \mapsto (x_1, \dots, x_n, -x_{n-1})$ , $x_i \in \mathbb{R}$ , $i = 1, \dots, n$ , then $U$ maps
f(x)↦f~(x)↦f~(Rx)↦η(x)n/2∗f~(RTx).
Note how the last transformation mimics the map $\tilde{f} \mapsto f$ . Further, let $V$ be the symmetric decreasing rearrangement in hyperplanes parallel to the boundary of $\mathbb{R}+^n$ . Define $F_k := (VU)^k f$ , then, by Theorem 2.4 in [6], there exists $F \in L^{2^*}(\mathbb{R}+^n)$ that is nonnegative and symmetric decreasing in hyperplanes parallel to the boundary of $\mathbb{R}+^n$ and such that $|f|{2^*} = |F|{2^*}$ , $\tilde{F}$ is radial on the unit ball, and $\lim{k \rightarrow \infty} F_k = F$ in $L^{2^*}(\mathbb{R}_+^n)$ . By passing to a subsequence, we can assume, without loss of generality, $F_k \rightarrow F$ almost everywhere.
As was calculated in [3], there exists a constant $c > 0$ so that we can write the remainder term as
JαR+n(f)=IαR+n(f)−c∫R+nxnα∣f(x)∣2dx.(6)
We claim $\Phi_\alpha(F_k)$ is decreasing. As $F_0 = f$ , it is enough to show that $\Phi_\alpha(f) \geq \Phi_\alpha(VUf)$ .
By a modification of Theorem 7.17 of [11], $I_{\alpha}^{\mathbb{R}+^n}(f)$ decreases under the rearrangement $V$ . From Lemma 6.1 in the Appendix, $I{\alpha}^{\mathbb{R}+^n}(f) = I{\alpha}^{\mathbb{R}+^n}(\tilde{f})$ , the latter of which is invariant under rotations. Hence, $I{\alpha}^{\mathbb{R}+^n}(f)$ is invariant under $U$ . Next, as the rearrangement under $V$ is only along hyperplanes parallel to the boundary of $\mathbb{R}+^n$ (i.e., where $x_n$ is fixed), the integral $\int_{\mathbb{R}_+^n} f^2(x)x_n^{-\alpha} dx$ must be invariant under $V$ , and since
∫R+nf2(x)xn−αdx=∫B(0,1)(1−∣ω∣22)αf~2(ω)dω,
it is invariant under $U$ as well. Finally, the $L^{2^*}$ -norm is clearly invariant under $U$ and $V$ .
As a result, we can explicitly write the limiting function in Theorem 3.1 as the product of two radial functions in the ball picture, a specific, known symmetrically increasing function and a symmetrically decreasing function.
THEOREM 3.2.Let $n \geq 2$ , $F \in L^{2^}(\mathbb{R}+^n)$ , where $F$ is nonnegative, symmetric decreasing in hyperplanes parallel to the boundary of $\mathbb{R}+^n$ , and $\tilde{F}$ is rotationally symmetric. Then, there exists a decreasing function $h : [0, 1] \rightarrow [0, \infty]$ , where $h(1) = 0$ , so that*
F~(ω)=(1−∣ω∣22)n/2∗h(∣ω∣).
Proof. Let $x \in \mathbb{R}_+^n$ such that $x_n = 1$ , and, recalling that $T$ is an involution, let $\omega = Tx$ . Thus, if we restrict $T$ to the hyperplane
H={(x′,xn)∈R+n:x′∈Rn−1,xn=1},then its image, or stereographic projection, is the sphere
S={ω=(ω′,ωn):ω′∈Rn−1,ωn∈R,∣ω′∣2+(ωn+21)2=41}
whose north and south poles pass through the origin and the point $(0, \dots, 0, -1)$ , respectively. Thus, for all $\omega \in S$ , we have that $\omega_n = -|\omega|^2$ , and $\eta(\omega) = 2/(1 - |\omega|^2)$ . Further,
1−∣ω∣22=η(ω)=η(Tx)=η(x)1=2∣x′∣2+4,
as $x \in H$ . Then, $|x'|^2 = 4|\omega|^2/(1 - |\omega|^2)$ , and, since $F$ is radial on $H$ , then, for all $\omega \in S$ ,
F(Tω)=F(x′,1)=F(∣x′∣,1)=F(1−∣ω∣22∣ω∣,1).
Further, as $\tilde{F}(\omega) = \eta(\omega)^{n/2^*} F(T\omega)$ , then
where $h(r) = F\left(\frac{2r}{\sqrt{1-r^2}}, 1\right)$ is a decreasing function and $h(1) = 0$ , as $F$ is radially symmetrically decreasing on $H$ , and $F \in L^{2^*}(\mathbb{R}_+^n)$ .
Note that for each particular radius in the unit ball, the corresponding sphere intersects $S$ . This radius then corresponds to a particular radius in $H$ as given by $|x'|^2 = 4|\omega|^2/(1 - |\omega|^2)$ . But, on the ball, $\tilde{F}$ is a radial function, so if $\omega$ is any point in the unit ball, there exists some rotation $R_\omega$ and $\omega_S \in S$ so that $\omega = R_\omega \omega_S$ . Therefore,
Proof of Theorem 1.2: From Theorems 3.1 and 3.2, we can assume $\tilde{f}(\omega) = \left(\frac{2}{1 - |\omega|^2}\right)^{n/2^*} h(|\omega|)$ , where $h(r)$ is a decreasing function on $[0, 1]$ and $h(1) = 0$ . Then,
f(x)=η(x)n/2∗f~(Tx)=xn−n/2∗h(∣Tx∣),
and $I_\alpha^{\mathbb{R}^n}(f), |f|{2^*}^2 < \infty$ . However, we note that $f$ is no longer necessarily in $C_c^\infty(\mathbb{R}+^n)$ .
We decompose $h = h_1 + h_0$ by truncation, by fixing $R \in (0, 1)$ so $h_0(r) = \min{h(r), h(R)}$ . Then, $f = f_1 + f_0$ , with the definitions $f_1, f_0$ following from the above. We claim there exists $c, d > 0$ , each dependent on $R, n$ and $\alpha$ , such that
Jα+Rn(f)≥c∥f1∥2∗2,(7)
and
Jα+Rn(f)≥d∥f0∥2∗2.(8)
Then, using the triangle and arithmetic-geometric mean inequalities, for all $0 < \lambda < 1$ , we obtain
Jα+Rn(f)≥λc∥f1∥2∗2+(1−λ)d∥f0∥2∗2≥21min{λc,(1−λ)d}∥f∥2∗2.Clearly, by fixing $\lambda, R$ not equal to zero or one, the constant is greater than zero. So, by taking the supremum over $\lambda$ and $R$ , the result follows.
First, we prove (7). Note that $\text{supp } h_1 \subseteq [0, R]$ , so $\text{supp } f_1 \subseteq B^R$ , where $B^R$ is as in (5) above. Thus, for all $x, y \in B^R$ ,
where $A_1$ is dependent on $R, n$ and $\alpha$ . Thus, $J_\alpha^{B^R}(f) + A_1 h^2(R) \geq \frac{1}{2} J_\alpha^{B^R}(f_1)$ . We claim we can apply Theorem 2.1 to $x_n^{\frac{1-\alpha}{2}} f_1(x)$ . Hence, if $x \in B^R$ , then $\frac{1-R}{1+R} \leq x_n \leq \frac{1+R}{1-R}$ , and
In establishing (8), we use the inequality $\frac{1}{2(n-1)} \leq \frac{(1-S^2)^{n-1}}{S^n} \int_0^S \frac{r^{n-1}}{(1-r^2)^n} dr \leq \frac{1}{n-1}$ , $0 < S < 1$ . Note that $h_0$ is constant on $[0, R]$ , while it is decreasing to zero on $[R, 1]$ . The following establishes how fast $h_0$ vanishes at 1. From Theorem 2.2,
Finally, we show that we can approximate $x_n^{\frac{1-\alpha}{2}} f_1(x)$ by functions in $C_c^\infty(B^R)$ . Define
gc(x)=max{xn21−αf1(x)−c,0}
almost everywhere. Then, by monotone convergence,
IαBR(gc)→IαBR(xn21−αf1(x))
and
∥gc∥2∗2→xn21−αf1(x)2∗2
as $c \rightarrow 0$ . Now, $\text{supp } g_c \subsetneq B^R$ and $g_c \in L^2(B^R)$ , so $I_{\alpha}^{\mathbb{R}^n}(g_c) < \infty$ from (6). Denote
∥⋅∥Wα/2,2(Rn)=∥⋅∥22+IαRn(⋅),
and let $W_0^{\alpha/2,2}(\mathbb{R}^n)$ be the completion of $C_c^\infty(\mathbb{R}^n)$ with respect to $|\cdot|_{W^{\alpha/2,2}(\mathbb{R}^n)}$ . Then it is known that
see, e.g. [1], [2]. Since $\text{supp } g_c \subsetneq B^R$ , there exists a sequence ${g_c^j} \subset C_c^\infty(B^R)$ so that $|g_c - g_c^j|{W^{\alpha/2,2}(\mathbb{R}^n)} \rightarrow 0$ as $j \rightarrow \infty$ . Hence, $I{\alpha}^{B^R}(g_c^j) \rightarrow I_{\alpha}^{B^R}(g_c)$ and $|g_c^j|_2^2 \rightarrow |g_c|_2^2$ as $j \rightarrow \infty$ . $\square$
5 Conclusion
Consider the general Hardy-Sobolev-Maz'ya inequality
∫R+n×R+n∣x−y∣n+α∣f(x)−f(y)∣pdxdy−Dn,p,α∫R+nxnα∣f(x)∣pdx≥an,p,α(∫R+n∣f(x)∣p∗dx)p/p∗,where $p \geq 2$ , $1 < \alpha < \min{n, p}$ . It is still unknown whether $a_{n,p,\alpha} > 0$ for $p > 2$ . Still, other than Theorem 3.1, the elements of this paper have either already been proven for general $p$ or extend quite easily. Indeed, Theorem 3.1 cannot be extended because Lemma 6.1 is not true for $p \neq 2$ . However, for functions that are symmetrically decreasing about a point in the upper halfspace or that can be rearranged about a point in the upper halfspace, while still maintaining support there, and where the Hardy term increases due to the rearrangement, then a fixed $a_{n,p,\alpha} > 0$ can be found.
Acknowledgement. I am very thankful to Michael Loss for countless valuable discussions and especially for collaboration on Theorem 2.2. This work was partially supported by NSF Grant DMS 0901304.
6 Appendix
Proof of Theorem 2.2: This proof uses the idea from Theorem 4.3, [11] to write the integral in terms of its layer cake representation. We can assume that $f \geq 0$ , since
where $1_A$ is the indicator function on $A$ . Let $g(x) = x_n^{\frac{1-\alpha}{p}} f(x)$ . Then, where $d_{n,p,\alpha}$ is a generic constant, and using the results above,
Using the substitution $c = \left(\frac{\lambda(b)}{D}\right)^{\frac{2}{2n+\alpha-1}} t$ , and the identity $1 - \frac{p}{q} = \frac{\alpha+1}{2n+\alpha-1}$ , then
We show that the limit on the last line is zero for all $\epsilon > 0$ ; thus, establishing our result. We write $x = (x', x_n)$ , $x' \in \mathbb{R}^{n-1}$ , $x_n \in \mathbb{R}$ . Then,
where the complement in the last integral is with respect to the half line $[0, \infty)$ . This product of integrals is zero as the left integral is finite, while the right integral is zero, for all $\epsilon > 0$ . Indeed, for the right integral, note that there is no singularity so long as $t \neq 1$ . If we split the integral into $t$ above and below 1, then the latter must be finite, so the integral is finite if the sum is. We compute$$\begin{aligned} \int_{[1-\epsilon, \frac{1}{1-\epsilon}]^c} dt (t^{\alpha-1} - t^{n-1}) \int_{-1}^1 ds \frac{(1-s^2)^{(n-3)/2}}{(t^2+1-2st)^{(n+\alpha)/2}} &= \int_0^{1-\epsilon} dt (t^{\alpha-1} - t^{n-1}) \int_{-1}^1 ds \frac{(1-s^2)^{(n-3)/2}}{(t^2+1-2st)^{(n+\alpha)/2}} \ &\quad + \int_{\frac{1}{1-\epsilon}}^{\infty} dt (t^{\alpha-1} - t^{n-1}) \int_{-1}^1 ds \frac{(1-s^2)^{(n-3)/2}}{(t^2+1-2st)^{(n+\alpha)/2}}. \end{aligned}$$
as desired. If $I_{\alpha}^{\mathbb{R}^n}(f)$ is not finite, then we need to ask whether $\int_{\mathbb{R}^n} \tilde{f}^2(x', x_n - 1) |x|^{-\alpha} dx < \infty$ . If so, then the result still holds. If this is not true, then since $\int_{\mathbb{R}^n} \tilde{f}^2(x', x_n - 1) |x|^{-\alpha} dx \leq c I_{\alpha}^{\mathbb{R}^n}(\tilde{f})$ , then $I_{\alpha}^{\mathbb{R}^n}(\tilde{f})$ is not finite as well. $\square$
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