Abstract
It is well known that elliptic estimates fail for the \({\bar{\partial }}\)-Neumann problem. Instead, the best that one can hope for is that derivatives in every direction but one can be estimated by the associated Dirichlet form, and when this happens, we say that the \({\bar{\partial }}\)-Neumann problem satisfies maximal estimates. In the pseudoconvex case, a necessary and sufficient geometric condition for maximal estimates has been derived by Derridj (for (0, 1)-forms) and Ben Moussa (for (0, q)-forms when \(q\ge 1\)). In this paper, we explore necessary conditions and sufficient conditions for maximal estimates in the non-pseudoconvex case. We also discuss when the necessary conditions and sufficient conditions agree and provide examples. Our results subsume the earlier known results from the pseudoconvex case.
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1 Introduction
The \({\bar{\partial }}\)-Neumann problem is the model example of a non-coercive boundary value problem, in that it consists of a second-order operator which is elliptic in the interior, but due to the boundary condition solutions gain at most one derivative in the Sobolev scale. See [8] or [24] for a detailed exposition of the \({\bar{\partial }}\)-Neumann problem.
Given that elliptic estimates fail for the \({\bar{\partial }}\)-Neumann problem, the best that one can hope for would be elliptic estimates in all directions but one. Such estimates are known as maximal estimates (see Definition 2.1 for the precise definition). For pseudoconvex boundaries, these have been completely characterized by Derridj [9] for (0, 1)-forms and by Ben Moussa [4] for (0, q)-forms when \(q\ge 1\). Although we will focus on the \({\bar{\partial }}\)-Neumann problem in this paper, the analogous problem for the boundary operator \(\Box _b\) has been completely characterized by Grigis and Rothschild in [13]. Maximal estimates have many applications. In addition to those given by Derridj and Ben Moussa, see also [6, 22], or [23].
On non-pseudoconvex domains, much less is known. Andreotti and Grauert [3] introduced the natural generalization of strict pseudoconvexity in the study of (0, q)-forms in manifolds of complex dimension n: the Levi-form must have at least \(q+1\) negative or \(n-q\) positive eigenvalues. We adopt the terminology of Folland and Kohn [11] in referring to this property as Z(q). It is not difficult to see that a bounded domain satisfying Z(1) at every boundary point must be strictly pseudoconvex. It follows from work of Hörmander [20] that Z(q) is equivalent to optimal estimates for the \({\bar{\partial }}\)-Neumann operator acting on (0, q)-forms. We will see in Theorem 2.6 that maximal estimates on (0, q)-forms are equivalent to Z(q) whenever the Levi-form is non-trivial.
In the degenerate case, it is natural to study (0, q)-forms on domains with at least \(q+1\) non-positive or \(n-q\) non-negative eigenvalues, but most known results seem to require a stronger condition. See [2, 5, 10, 14], and [19] for a wide range of results using an equally wide range of sufficient conditions generalizing Z(q) to the degenerate case. As far as we know, no study has yet been carried out on maximal estimates for (0, q)-forms on non-pseudoconvex boundaries. Our hope in the present paper is that this study will shed some light on the appropriate conditions for the \(L^2\)-theory for (0, q)-forms on non-pseudoconvex domains.
We note that maximal estimates are local estimates. If a domain \(\Omega \) admits a maximal estimate on (0, q)-forms on a neighborhood U of a boundary point p but \(\Omega \) is not pseudoconvex on U, there is no guarantee that we can find a domain \({\tilde{\Omega }}\) agreeing with \(\Omega \) on U such that the \({\bar{\partial }}\)-Neumann problem is solvable on \({\tilde{\Omega }}\). The authors have explored the technical issues involved in constructing such an extension in [14]. If, for example, the Levi-form has at least \(q+1\) negative eigenvalues on \(\partial \Omega \cap U\), then the domain \({\tilde{\Omega }}\) must be unbounded, which introduces additional technical issues (see [15] and [18]). Although we will not explore this issue further in the present paper, we note that our strongest results (e.g., Theorems 2.6 and 2.7), have hypotheses that are strong enough to imply the existence of such an extension when the Levi-form has at least \(n-q\) non-negative eigenvalues on \(\partial \Omega \cap U\).
In Sect. 5, we will adapt an argument of Hörmander [20] to derive a necessary condition for maximal estimates on (0, q)-forms that generalizes the conditions derived by Derridj and Ben Moussa. If we denote the eigenvalues of the Levi-form, arranged in non-decreasing order, by \(\{\lambda _1,\ldots ,\lambda _{n-1}\}\), then on pseudoconvex domains maximal estimates on (0, q)-forms near some point \(p\in \partial \Omega \) are equivalent to the existence of some constant \(\epsilon >0\) such that \(\sum _{j=1}^q\lambda _j\ge \epsilon \sum _{j=1}^{n-1}\lambda _j\) on some neighborhood of p in \(\partial \Omega \) [4]. If we replace pseudoconvexity with the requirement that the Levi-form have at least \(n-q\) non-negative eigenvalues in a neighborhood of p, then we will show in Theorem 2.2 that maximal estimates on (0, q)-forms near p imply the existence of \(\epsilon >0\) such that \(\sum _{\{1\le j\le q:\lambda _j\ge 0\}}\lambda _j\ge \epsilon \sum _{j=1}^{n-1} |\lambda _j|\) on some neighborhood of p in \(\partial \Omega \). Unlike the conditions of Derridj and Ben Moussa, it is not yet clear whether this necessary condition is also sufficient, although Theorems 2.6 and 2.7 provide a wide range of special cases in which our necessary condition is also sufficient.
Our sufficient conditions require additional discussion. For most such results, the starting point is the Morrey–Kohn identity. Suppose that \(\Omega \subset {\mathbb {C}}^n\) is a domain with \(C^2\) boundary and \(\rho \) is a \(C^2\) defining function for \(\Omega \). If \({\bar{\partial }}\) denotes the maximal \(L^2\) extension of the Cauchy-Riemann operator, \({\bar{\partial }}^*\) denotes the Hilbert space adjoint, \(1\le q\le n\), \({\mathcal {I}}_q\) denotes the set of increasing multi-indices of length q, and \(u\in C^1_{0,q}({\overline{\Omega }})\cap {{\,\textrm{Dom}\,}}{\bar{\partial }}^*\), then we have the Morrey–Kohn identity (a special case of the Morrey–Kohn–Hörmander identity given by Proposition 4.3.1 in [8] or Proposition 2.4 in [24]):
In both the study of maximal estimates for pseudoconvex domains and the study of \(L^2\) theory for \({\bar{\partial }}\) on non-pseudoconvex domains, it is useful to integrate by parts in the first term on the right-hand side. As shown in [14], it is useful to prescribe this integration by parts via a Hermitian matrix of functions \(\Upsilon \) with the property that every eigenvalue of \(\Upsilon \) is bounded between 0 and 1. Then we can decompose the gradient into two non-negative terms:
Postponing the technical details for Sect. 4, we observe that integrating by parts twice in the second term gives us
where we have omitted the lower order terms. To avoid derivatives of u in the boundary terms, we must choose \(\Upsilon \) so that we are only integrating by parts with respect to tangential derivatives (see (2.7)). This requires us to assume that that on the boundary \(\Upsilon \) has at least one eigenvalue equal to zero, but if the remaining eigenvalues are uniformly bounded away from zero and one, then we have an estimate for every derivative of u orthogonal to the complex normal direction, represented by \(Z=\sum _{j=1}^n\frac{\partial \rho }{\partial {\bar{z}}_j}\frac{\partial }{\partial z_j}\). This is precisely what we need to obtain maximal estimates. However, two integrations by parts will introduce two derivatives of the coefficients of \(\Upsilon \), which is why in [14] we assume that the coefficients of \(\Upsilon \) are \(C^2\). Indeed, in the proof of Theorem 2.6, we will use this technique to prove maximal estimates on (0, q)-forms on any \(C^3\) boundary satisfying Z(q). However, in Lemma 4.1, we will see that it suffices for \(\Upsilon \) to have weak derivatives in certain Sobolev spaces and for certain functions of these weak derivatives to be bounded (see also [7], where a related observation was used to study closed range of \({\bar{\partial }}\) near pseudoconcave boundaries with low boundary regularity). This may seem like a needless complication, but in Proposition 7.2, we will construct an explicit example where maximal estimates hold but it is impossible to prove that maximal estimates hold using the above method when \(\Upsilon \) has \(C^2\) coefficients. Furthermore, this will allow us to relax the boundary regularity in certain special cases and show that, for example, the results of Derridj and Ben Moussa hold on domains with \(C^{2,\alpha }\) boundaries for any \(0<\alpha <1\).
The implications of Proposition 7.2 for the \(L^2\) theory of the \({\bar{\partial }}\)-Neumann problem on non-pseudoconvex domains are significant. As the authors have shown in [16], if we require \(\Upsilon \) to have \(C^2\) coefficients, then we are placing significant restrictions on the boundary geometry near points where the Levi-form degenerates. In the present paper, we have provided evidence that these geometric restrictions are unlikely to be necessary, but the methods of proof will require greater subtlety than has been used in the past. Indeed, constructing the \(\Upsilon \) used in the proof of Proposition 7.2 is not trivial (especially compared to the relatively straight-forward construction used in Theorem 2.6). However, a deeper understanding of these methods may make it possible to derive more natural sufficient conditions for maximal estimates, or even show that the necessary condition given in Theorem 2.2 is also sufficient.
2 Definitions and Key Results
For \(1\le q\le n\), let \({\mathcal {I}}_q\) denote the set of all increasing multi-indices over \(\{1,\ldots ,n\}\) of length q. For a (0, q)-form u, we write \(u=\sum _{J\in {\mathcal {I}}_q} u_J \, d{\bar{z}}^J\). We may extend the definition of \(u_J\) to coefficients with non-increasing multi-indices by requiring \(u_J\) to be skew-symmetric with respect to the indices in J. When each \(u_J\) is \(C^1\), we may write
with the formal \(L^2\) adjoint
We normalize our Euclidean metric for \({\mathbb {C}}^n\) so that
Let \(\, dV\) denote the corresponding volume element, and for \(\Omega \subset {\mathbb {C}}^n\) with \(C^1\) boundary and \(u,v\in L^2_{0,q}(\Omega )\), we write
and
We use \({{\,\textrm{Dom}\,}}{\bar{\partial }}\subset L^2_{0,q}(\Omega )\) to denote the set of all \(u\in L^2_{0,q}(\Omega )\) such that \({\bar{\partial }}u\) exists in the distribution sense and \({\bar{\partial }}u\in L^2_{0,q+1}(\Omega )\). We let \({\bar{\partial }}^*\) denote the Hilbert space adjoint with domain \({{\,\textrm{Dom}\,}}{\bar{\partial }}^*\). As is well-known (see, e.g., Lemma 4.2.1 in [8] or (2.9) in [24]), \(u\in C^1_{0,q}({\overline{\Omega }})\) is in \({{\,\textrm{Dom}\,}}{\bar{\partial }}^*\) if and only if
and in this case \({\bar{\partial }}^* u=\vartheta u\).
We let \(\, d\sigma \) denote the surface measure on \(\partial \Omega \) induced from the ambient Euclidean metric.
We may now give a precise definition of a maximal estimate.
Definition 2.1
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^2\) boundary and let \(1\le q\le n\). We say that \(\Omega \) admits a maximal estimate on (0, q)-forms near \(p\in \partial \Omega \) if p admits a neighborhood U and constants \(A,B>0\) such that if \(\{L_1,\ldots ,L_n\}\) is an orthonormal basis for \(T^{1,0}(U)\) with Lipschitz coefficients satisfying \(L_j|_{\partial \Omega }\in T^{1,0}(\partial \Omega \cap U)\) for every \(1\le j\le n-1\), then
for every \(u\in C^1_{0,q}({\overline{\Omega }})\cap {{\,\textrm{Dom}\,}}{\bar{\partial }}^*\) supported in \({\overline{\Omega }}\cap U\).
We will see that the constant \(A>0\) in (2.1) plays a significant role in both our necessary and sufficient conditions. We will see that this definition and the optimal value of A are both independent of the choice of orthonormal basis in Lemma 4.3. Note that when \(q=n\), the \({\bar{\partial }}\)-Neumann problem is elliptic because the \({\bar{\partial }}\)-Neumann boundary conditions are equivalent to the Dirichlet boundary conditions in this degree, so \(\Omega \) always admits a maximal estimate on (0, n)-forms near any boundary point.
We note that many of our results hold on \(C^{1,1}\) domains. However, maximal estimates are of less interest on such domains, since \(C^1_{0,q}({\overline{\Omega }})\cap {{\,\textrm{Dom}\,}}{\bar{\partial }}^*\) is only dense in \({{\,\textrm{Dom}\,}}{\bar{\partial }}^*\) on domains with \(C^2\) boundary (see Lemma 4.3.2 in [8] or Proposition 2.3 in [24]).
Now that we have a precise definition for maximal estimates, we are able to state our necessary condition:
Theorem 2.2
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^{2,\alpha }\) boundary for some \(\alpha >0\) and let \(1\le q\le n-1\). Assume that \(\Omega \) admits maximal estimates on (0, q)-forms near \(p\in \partial \Omega \). Let U and A be as in Definition 2.1, and let the eigenvalues of the Levi-form on \(U\cap \partial \Omega \) with respect to a \(C^{2,\alpha }\) defining function \(\rho \) be given by \(\{\lambda _1,\ldots ,\lambda _{n-1}\}\), arranged in non-decreasing order. Then
on \(U\cap \partial \Omega \).
In order to state our sufficient condition, we need additional structures. For an open set \(U\subset {\mathbb {R}}^n\), an integer \(k\ge 0\), and a real number \(1\le p\le \infty \), we define the Sobolev space \(W^{k,p}(U)\) to be the set of all \(u\in L^p(U)\) such that all derivatives of u of order k or less exist in the weak sense and belong to \(L^p(U)\). For \(u\in W^{1,p}(U)\), we let \(\nabla u\) denote the gradient of u. For \(u\in W^{2,p}(U)\), we let \(\nabla ^2 u\) denote the Hessian of u. For \(Z,W\in T^{1,0}({\mathbb {C}}^n)\) and \(f\in C^2({\mathbb {C}}^n)\), if we write \(Z=\sum _{j=1}^n a^j(z)\frac{\partial }{\partial z_j}\) and \(W=\sum _{j=1}^n b^j(z)\frac{\partial }{\partial z_j}\), then we may define the complex Hessian
Definition 2.3
For \(\Omega \subset {\mathbb {C}}^n\) with \(C^2\) boundary and \(U\subset {\mathbb {C}}^n\) satisfying \(U\cap \partial \Omega \ne \emptyset \), let \({\mathcal {M}}^1_\Omega (U)\) denote the space of Hermitian \(n\times n\) matrices \(\Upsilon \) such that
-
(1)
each entry of \(\Upsilon \) is an element of \(L^\infty (U)\cap W^{1,1}(U)\),
-
(2)
\(\Upsilon \) and \(I-\Upsilon \) are positive semi-definite almost everywhere on U,
-
(3)
for \(1\le j\le n\), \(\Upsilon ^j\in L^\infty (U)\), where \(\Upsilon ^j\) is defined by
$$\begin{aligned} \Upsilon ^j=\sum _{k=1}^n\frac{\partial }{\partial {\bar{z}}_k}\Upsilon ^{{\bar{k}} j} \end{aligned}$$(2.4)almost everywhere in U, and
-
(4)
for any \(C^2\) defining function \(\rho \) for \(\Omega \) on U,
$$\begin{aligned} \left| \sum _{j,k=1}^n\frac{\partial \rho }{\partial {\bar{z}}_k}\Upsilon ^{{\bar{k}} j}\frac{\partial \rho }{\partial z_j}\right| \le O(|\rho |^2) \end{aligned}$$(2.5)almost everywhere on U.
For \(0\le \eta \le 1\), let \({\mathcal {M}}^2_{\Omega ,\eta }(U)\) denote the set of \(\Upsilon \in {\mathcal {M}}^1_\Omega (U)\) such that
-
(1)
each entry of \(\Upsilon \) is an element of \(L^\infty (U)\cap W^{1,2}(U)\cap W^{2,1}(U)\) and
-
(2)
\(\Theta _{\Upsilon ,\eta }\in L^\infty (U)\), where \(\Theta _{\Upsilon ,\eta }\) is defined by
$$\begin{aligned} \Theta _{\Upsilon ,\eta }= & {} \sum _{j,k=1}^n\frac{\partial ^2}{\partial z_j\partial {\bar{z}}_k}\left( \Upsilon ^{{\bar{k}} j}-\eta \sum _{\ell =1}^n\Upsilon ^{{\bar{k}}\ell }\Upsilon ^{{\bar{\ell }} j}\right) \nonumber \\{} & {} +\eta \sum _{j,k,\ell =1}^n\left( \frac{\partial }{\partial z_j}\Upsilon ^{{\bar{k}}\ell }\right) \left( \frac{\partial }{\partial {\bar{z}}_k}\Upsilon ^{{\bar{\ell }} j}\right) -(1-\eta )\sum _{j=1}^n\left| \Upsilon ^j\right| ^2. \end{aligned}$$(2.6)
Since \(\Upsilon \in {\mathcal {M}}^1_\Omega (U)\) is positive semi-definite and each element of \(\Upsilon \) is in \(L^\infty (U)\), (2.5) implies that for any \(C^2\) defining function \(\rho \) for \(\Omega \) on U,
almost everywhere on U. Since each element of \(\Upsilon \) is in \(L^\infty (U)\), it is easy to check that (2.5) and (2.7) are together independent of the choice of \(C^2\) defining function \(\rho \).
In the special case in which \(\Upsilon \) is a projection matrix, the component \(\Upsilon ^{{\bar{k}} j}=\sum _{\ell =1}^n\Upsilon ^{{\bar{k}}\ell }\Upsilon ^{{\bar{\ell }} j}\) for all \(1\le j,k\le n\), so the first term in (2.6) vanishes when \(\eta = 1\). In this case, it suffices to assume that \(\Upsilon \) has Lipschitz coefficients. This is precisely the case explored in [7].
Now we may state our sufficient condition:
Proposition 2.4
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^2\) boundary and let \(1\le q\le n-1\). Let \(\rho \) be a \(C^2\) defining function for \(\Omega \). Assume that for some \(p\in \partial \Omega \) there exists a neighborhood U of p, constants \(A>2\) and \(0\le \eta \le 1\), and \(\Upsilon \in {\mathcal {M}}^2_{\Omega ,\eta }(U)\) such that:
-
(1)
counting multiplicity, \(\Upsilon \) has \(n-1\) eigenvalues in the interval \((1/A,1-1/A)\) almost everywhere on U, and
-
(2)
if \(\{\lambda _1,\ldots ,\lambda _{n-1}\}\) denote the eigenvalues of the Levi-form (computed with \(\rho \)) arranged in non-decreasing order, then
$$\begin{aligned} \sum _{j=1}^q\lambda _j-\sum _{j,k=1}^n\Upsilon ^{{\bar{k}} j}\rho _{j{\bar{k}}}\ge 0 \end{aligned}$$(2.8)almost everywhere on \(U\cap \partial \Omega \).
Then \(\Omega \) admits a maximal estimate on (0, q)-forms near p.
Remark 2.5
The crucial new hypothesis in Proposition 2.4 is (1). Condition (2) is one of the hypotheses of the weak Z(q) condition developed by the authors as a sufficient condition for closed range of \({\bar{\partial }}\) on (0, q)-forms [14, 17]. In those papers, it sufficed for the eigenvalues of \(\Upsilon \) to lie in the interval [0, 1].
It is not clear whether the necessary condition given by Theorem 2.2 and the sufficient condition given by Proposition 2.4 are equivalent, but we do have some important special cases. When the Levi-form is non-trivial, we may use these results to show:
Theorem 2.6
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^3\) boundary and let \(1\le q\le n-1\). Assume that for some \(p\in \partial \Omega \) the Levi-form for \(\partial \Omega \) has at least one non-vanishing eigenvalue at p. Then \(\Omega \) admits a maximal estimate on (0, q)-forms near p if and only if \(\Omega \) satisfies Z(q) at p.
Alternatively, Theorem 2.6 could be written to state that when at least one eigenvalue is non-vanishing, (2.2) is both necessary and sufficient for maximal estimates on (0, q)-forms. The following result gives another class of domains for which (2.2) is both a necessary and sufficient condition for maximal estimates on (0, q)-forms.
Theorem 2.7
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^{2,\alpha }\) boundary for some \(0<\alpha <1\), and let \(1\le q\le n-1\). Let \(\rho \) be a \(C^{2,\alpha }\) defining function for \(\Omega \), and let \(\{\lambda _j\}_{j=1}^{n-1}\) be the eigenvalues of the Levi-form of \(\partial \Omega \) with respect to \(\rho \) arranged in non-decreasing order. Assume that for some \(p\in \partial \Omega \), there exists a neighborhood U of p and a constant \(\epsilon >0\) such that either
-
(1)
$$\begin{aligned} \sum _{j=1}^q\lambda _j\ge \epsilon \sum _{\{1\le j\le n-1:\lambda _j<0\}}|\lambda _j|\text { on }\partial \Omega \cap U \end{aligned}$$(2.9)
or
-
(2)
$$\begin{aligned} -\sum _{j=q+1}^{n-1}\lambda _j\ge \epsilon \sum _{\{1\le j\le n-1:\lambda _j>0\}}\lambda _j\text { on }\partial \Omega \cap U. \end{aligned}$$(2.10)
Then \(\Omega \) admits a maximal estimate on (0, q)-forms near p if and only if (2.2) holds on some neighborhood of p.
Observe that (2.9) holds on all pseudoconvex domains, so this generalizes the results of Derridj [9] for (0, 1)-forms and Ben Moussa [4] for (0, q)-forms. Conversely, any domain satisfying (2.9) must be weakly q-convex in the sense of Ho [19]. Note that (2.10) holds for all pseudoconcave domains.
3 A Special Defining Function
To reduce the required boundary regularity of our key results, we will need a special defining function. Recall that a local \(C^{m,\alpha }\) defining function \(\rho \) for a domain \(\Omega \) is a function \(\rho \in C^{m,\alpha }(U)\) defined on some neighborhood U of a point in \(\partial \Omega \) such that \(\nabla \rho \ne 0\) on \(\partial \Omega \cap U\) and \(\Omega \cap U=\{z\in U:\rho (z)<0\}\).
Lemma 3.1
Let \(\Omega \subset {\mathbb {R}}^n\) be a domain with \(C^{m,\alpha }\) boundary, \(m\ge 1\) and \(0\le \alpha \le 1\), and let \(U\subset {\mathbb {R}}^n\) satisfy \(U\cap \partial \Omega \ne \emptyset \). Then there exists a defining function \(\rho \) for \(\Omega \) on U such that \(\rho \in C^{m,\alpha }(U)\cap C^\infty (U\backslash \partial \Omega )\) and for any differential operator \(D^k\) of order \(k\ge m\), we have
Proof
After a translation and rotation, we may assume that \(0\in {\overline{U}}\cap \partial \Omega \) and \(T_0(\partial \Omega )={{\,\textrm{span}\,}}\left\{ \frac{\partial }{\partial x_j}\right\} _{j=1}^{n-1}\). Choose a neighborhood V of 0 that is sufficiently small so that
where \(x'=(x_1,\ldots ,x_{n-1})\) and \(\varphi \in C^{m,\alpha }({\mathbb {R}}^{n-1})\). In our chosen coordinates, \(\varphi (0)=0\) and \(\nabla \varphi (0)=0\).
Let \(\chi \) be a smooth, radially symmetric function supported in the unit ball in \({\mathbb {R}}^{n-1}\) satisfying \(\int _{{\mathbb {R}}^{n-1}}\chi =1\). For \(t\in {\mathbb {R}}\backslash \{0\}\) and \(x'\in {\mathbb {R}}^{n-1}\), set \(\chi _t(x')=|t|^{1-n}\chi (t^{-1}x')\), so that \(\int _{{\mathbb {R}}^{n-1}}\chi _t=1\). For all \(x\in V\) and \(t\in {\mathbb {R}}\), we define
Using a standard change of coordinates for convolutions, we have the equivalent statement
for all \(x\in V\) and \(t\in {\mathbb {R}}\). Differentiating this in t gives us
Since \(\chi \) is radially symmetric, \(\int _{{\mathbb {R}}^{n-1}}y_j\chi (y')\, dy'=0\) for all \(1\le j\le n-1\), and hence \(\int _{{\mathbb {R}}^{n-1}}y'\cdot \nabla \varphi (x')\chi (y')\, dy'=0\) for all \(x\in V\). Since \(\nabla \varphi \) is uniformly continuous on any compact subset of \({\mathbb {R}}^{n-1}\), there exists \(T>0\) such that
Hence, \(\frac{\partial f}{\partial t}(x,t)\le -\frac{1}{2}<0\) whenever \(0\le t\le T\) and \(x\in V\). By the Implicit Function Theorem, there exists a neighborhood W of the origin and a unique function \(\rho :W\rightarrow {\mathbb {R}}\) such that \(f(x,\rho (x))=0\) and \(\nabla \rho (x)=-\left( \frac{\partial f}{\partial t}(x,\rho (x))\right) ^{-1}\nabla _x f(x,\rho (x))\) for all \(x\in W\). Since \(\rho \) is unique, we must have \(\rho (x)=0\) whenever \(x\in \partial \Omega \cap W\), and hence \(\nabla \rho (x)=\nabla (\varphi (x')-x_n)\) whenever \(x\in \partial \Omega \cap W\). This means that \(\rho \) is a \(C^1\) defining function for \(\Omega \) on W. Since \(f\in C^m({\mathbb {R}}^{n}\times {\mathbb {R}})\cap C^\infty ({\mathbb {R}}^n\times ({\mathbb {R}}\backslash \{0\}))\), it is not difficult to check that \(\rho \in C^m(W)\cap C^\infty (W\backslash \partial \Omega )\).
For a multi-index J over \(n-1\) variables, let \(\chi ^J(y')=y^J\chi (y')\), and set \(\chi _t^J(y')=|t|^{1-n}t^{-|J|}y^J\chi (t^{-1}y')\). Let \(D_{n-1}^m\) be a differential operator of order m in \(n-1\) variables. Any order m derivative of f(x, t) in \(n+1\) variables will be a linear combination of terms of the form \((D_{n-1}^m\varphi *\chi ^J_t)\) (with an additional constant term if \(m=1\)), where \(|J|\le m\). For \(k\ge m+1\), if \(D_{n+1}^{k-m}\) is a differential operator of order k in \(n+1\) variables, then we may write any order k derivative of f(x, t) as a linear combination of terms of the form \((D_{n-1}^m\varphi *D_{n+1}^{k-m}\chi ^J_t)\). Observe that \(\int _{{\mathbb {R}}^{n-1}}\chi ^J_t(x'-y')\, dy'\) is independent of x, so \(1*D_{n+1}^{k-m}\chi ^J_t\equiv 0\) when \(k>m\). Hence, we have
Using the Hölder continuity of mth derivatives of \(\varphi \), we have
It is not difficult to check that \(\left\| D_{n+1}^{k-m}\chi ^J_t\right\| _{L^1({\mathbb {R}}^{n-1})}\le O(|t|^{m-k})\), and hence we have
whenever \(D_{n+1}^k\) is a differential operator of order k in n variables. From here, (3.1) follows from the definition of f and repeated applications of the chain rule.
We may extend the domain of \(\rho \) to a neighborhood of \({\overline{U}}\) via a partition of unity and Whitney’s Extension Theorem. \(\square \)
When we apply our results in \({\mathbb {C}}^n\), we will need a basis for tangent vectors with coefficients in the appropriate Sobolev spaces. Simply constructing this basis on the boundary and extending to the interior is problematic, because the space of traces of elements of \(W^{2,1}(\Omega )\) is not easy to characterize (unlike \(W^{1,1}(\Omega )\), as shown by [12]). The characterization in terms of Besov spaces given by Theorem 7.39 in [1], for example, fails when \(p=1\), and even the one-sided extension operator given by integrating against the Poisson kernel will be deficient when \(p=1\). Furthermore, when characterizing regularity of boundaries, the most natural space is the class of functions with Hölder continuous derivatives at some order. Due to these constraints, the following result is as sharp as can be expected.
Lemma 3.2
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^{2,\alpha }\) boundary for some \(\alpha >0\) and let \(p\in \partial \Omega \). Then there exists a neighborhood U of p and an orthonormal basis \(\{L_j\}_{j=1}^n\) for \(T^{1,0}(U)\) such that \(\{L_j|_{\partial \Omega \cap U}\}_{j=1}^{n-1}\) is an orthonormal basis for \(T^{1,0}(\partial \Omega \cap U)\) and each \(L_j\) has coefficients in \(C^1(U)\cap W^{2,1}(U)\).
Proof
After a translation and rotation, we may assume that \(p=0\) and \(T^{1,0}_0(\partial \Omega )={{\,\textrm{span}\,}}\left\{ \frac{\partial }{\partial z_j}\right\} _{j=1}^{n-1}\). Choose a neighborhood U of p that is sufficiently small so that
where \(z'=(z_1,\ldots ,z_{n-1})\) and \(\varphi \in C^{2,\alpha }({\mathbb {C}}^{n-1}\times {\mathbb {R}})\). In our chosen coordinates, \(\varphi (0)=0\) and \(\nabla \varphi (0)=0\). Let \(\rho \) be the \(C^{2,\alpha }\) defining function for \(\Omega \) on U given by Lemma 3.1. We may assume that U is sufficiently small so that \(\frac{\partial \rho }{\partial z_n}\ne 0\) on \(\overline{U}\).
For \(1\le j\le n\) and \(z\in U\), set \(a^j(z)=|\partial \rho (z)|^{-1}\frac{\partial \rho }{\partial {\bar{z}}_j}(z)\). On U, we have \(|a|=1\) and \(\sum _{j=1}^n a^j\frac{\partial \rho }{\partial z_j}=|\partial \rho |\). For \(z\in U\), set
On U, we have \(|b|^2=2|\partial \rho |\left( |\partial \rho |+\left| \frac{\partial \rho }{\partial z_n}\right| \right) ^{-1}\) and \(\sum _{j=1}^n b^j\frac{\partial \rho }{\partial z_j}=|\partial \rho |\). For \(z\in U\), if we set
then we may check that \(\{L_j\}_{j=1}^{n}\) is an orthonormal basis for \(T^{1,0}(U)\) with coefficients in \(C^{1,\alpha }(U)\) and \(L_j\rho \equiv 0\) on U for all \(1\le j\le n-1\). Since \(|\rho |^{\alpha -1}\) is an integrable function on U, (3.1) guarantees that the coefficients of each \(L_j\) must lie in \(W^{2,1}(U)\).
\(\square \)
4 The Basic Identity
Our goal for this section is to use integration by parts to transform the gradient term in (1.1) into the special gradient defined by (4.1).
Lemma 4.1
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^2\) boundary. Let \(p\in \partial \Omega \) and let U be a neighborhood of p. Let \(\rho \) be a \(C^2\) defining function for \(\Omega \). Let \(0\le \eta \le 1\), and let \(\Upsilon \in {\mathcal {M}}^2_{\Omega ,\eta }\). For \(0\le q\le n\) and \(u,v\in W^{1,2}_{0,q}(\Omega )\) supported in \({\overline{\Omega }}\cap U\), let
where
almost everywhere on U for all \(1\le j\le n\). Then
for all \(u\in W^{1,2}_{0,q}(\Omega )\) supported in \({\overline{\Omega }}\cap U\).
Proof
We observe that this Lemma does not make use of the exterior algebra structure \(\Lambda _{0,q}({\overline{\Omega }})\) in any meaningful way, so it will suffice to prove (4.2) in the \(q=0\) case and apply it to each coefficient of a (0, q)-form. We first assume that \(u\in C^2({\overline{\Omega }})\) and \(\Upsilon \) is a Hermitian \(n\times n\) matrix with entries in \(C^2(U)\).
We define the crucial error terms
We begin by using integration by parts to evaluate the second term of the right-hand side in (4.1).
We compute the commutator
Substituting this and integrating by parts again, we obtain
Hence,
Integration by parts gives us
so since \(\sum _{j=1}^n\frac{\partial \rho }{\partial z_j}\Upsilon ^j=\sum _{j,k=1}^n\left( \frac{\partial }{\partial {\bar{z}}_k}\left( \frac{\partial \rho }{\partial z_j}\Upsilon ^{{\bar{k}} j}\right) -\frac{\partial ^2\rho }{\partial z_j\partial {\bar{z}}_k}\Upsilon ^{{\bar{k}} j}\right) \), we have
Note that
so
Expanding (2.6), we find that
so we have
whenever \(q=0\), \(u\in C^2({\overline{\Omega }})\), and the coefficients of \(\Upsilon \) are in \(C^2(U)\).
Now suppose that \(q=0\) and \(u\in C^2({\overline{\Omega }})\), but \(\Upsilon \in {\mathcal {M}}^2_{\Omega ,\eta }(U)\). Let \(V\subset \subset U\) denote the interior of the support of u. If we regularize the coefficients of \(\Upsilon \) by convolution and restrict to V, we obtain a sequence \(\{\Upsilon _\ell \}\) of \(n\times n\) Hermitian matrices with coefficients in \(C^\infty (V)\) that are uniformly bounded in \(L^\infty (V)\) and converge in \(W^{1,2}(V)\) and \(W^{2,1}(V)\) to the corresponding coefficients of \(\Upsilon \). Observe that (2.7) implies that the trace of \(\Upsilon \) in \(L^2(\partial \Omega )\) satisfies
By the trace theorem for \(W^{1,2}(V)\), \(\sum _{k=1}^n\frac{\partial \rho }{\partial {\bar{z}}_k}\Upsilon _\ell ^{{\bar{k}} j}\rightarrow 0\) in \(L^2(\partial \Omega )\) for every \(1\le j\le n\), so \(E_{\Upsilon _\ell ,\eta }(u)\rightarrow 0\) and \(F_{\Upsilon _\ell ,\eta }(u)\rightarrow 0\). Here we have also used the fact that \(\Upsilon _\ell ^j\) is uniformly bounded in \(L^2(V)\), since this term arises in \({\bar{Z}}_{k,\eta }\) and \({\bar{Z}}_{j,\eta }^*\).
Observe that \(\nabla \Upsilon \in L^1(\partial \Omega \cap V)\) and the combination of (2.5) and (2.7) imply that the trace of \(\nabla \Upsilon \) satisfies
For every \(1\le k\le n\), \(\frac{\partial }{\partial {\bar{z}}_k}-|\partial \rho |^{-2}\frac{\partial \rho }{\partial {\bar{z}}_k} \sum _{\ell =1}^n\frac{\partial \rho }{\partial z_\ell }\frac{\partial }{\partial {\bar{z}}_\ell }\) is a tangential operator on \(\partial \Omega \cap V\), so we may differentiate (4.4) by this operator and sum over \(1\le k\le n\) to obtain
If we expand the second term in this derivative with the product rule and apply (4.4) and (4.5), we see that these terms vanish on the boundary as traces, leaving us with
By the trace theorem for \(W^{2,1}(V)\), we see that \(H_{\Upsilon _\ell ,\eta }(u)\rightarrow 0\) as well.
If we expand the quadratic forms in (4.1), observe that the two terms of the form \(\sum _{j,k=1}^n\Upsilon ^k\Upsilon ^{{\bar{k}} j}\Upsilon ^{{\bar{j}}}\) will cancel each other, so the remaining terms in (4.1) with \(\Upsilon \) will involve integrating a function in \(L^\infty (U)\) against \(\Upsilon ^{{\bar{k}} j}\) for \(1\le j,k\le n\), \(\sum _{k=1}^n\Upsilon ^k\Upsilon ^{{\bar{k}} j}\) or \(\Upsilon ^j\) for \(1\le j\le n\), or \(\sum _{j=1}^n|\Upsilon ^j|^2\). In every case, convergence in \(W^{1,2}(V)\) and uniform boundedness in \(L^\infty (V)\) will suffice to take the limit. This is also true for the final term in (4.3). Convergence in \(W^{1,2}(V)\) and uniform boundedness in \(L^\infty (V)\) will also allow us to take the limit with the remaining terms in (4.3). By the Trace Theorem, convergence in \(W^{1,1}(V)\) guarantees convergence in \(L^1(\partial \Omega \cap V)\), so we can take the limit in the boundary term in (4.2). As a result, we may take a limit and obtain (4.2) whenever \(q=0\), \(u\in C^2({\overline{\Omega }})\), and the coefficients of \(\Upsilon \) are in \(L^\infty (V)\cap W^{1,2}(V)\cap W^{2,1}(V)\).
For \(q>0\), we apply the \(q=0\) identity to each coefficient \(u_I\) and sum over all \(I\in {\mathcal {I}}_q\) to obtain (4.2). When \(u\in W^{1,2}_{(0,q)}(\Omega )\), we can approximate u in the \(W^{1,2}(\Omega )\) norm by a sequence in \(C^\infty _{(0,q)}({\overline{\Omega }})\) and take the limit. Since \(\Upsilon ^j\in L^\infty (U)\) for all \(1\le j\le n\) and \(\Theta _\Upsilon \in L^\infty (U)\), all of the terms in this limit will converge, and we obtain (4.2) whenever \(u\in W^{1,2}_{(0,q)}(\Omega )\). \(\square \)
Our first application of this key identity will be a sequence of lemmas which can be used to show that (2.1) is independent of the choice of orthonormal coordinates and that left-hand side of (2.1) is comparable to \(G_{\Upsilon ,\eta }\) when we have suitable bounds on the eigenvalues of \(\Upsilon \).
We first show that we can always estimate the direction that is missing from our maximal estimates, provided that we multiply it by a suitable defining function.
Lemma 4.2
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^2\) boundary. Let \(p\in \partial \Omega \), let U be a neighborhood of p, and let \(\rho \in C^2(U)\cap C^\infty (U\backslash \partial \Omega )\) be the defining function for \(\Omega \) given by Lemma 3.1. For every \(\epsilon >0\), there exists a constant \(C_\epsilon >0\) so that if \(u\in W^{1,2}(\Omega )\) is supported in \(\left\{ z\in {\overline{\Omega }}\cap U:-\frac{\sqrt{\epsilon }}{2}<\rho (z)\le 0\right\} \), then
where \(Z=|\partial \rho |^{-1}\sum _{j=1}^n\frac{\partial \rho }{\partial {\bar{z}}_j}\frac{\partial }{\partial z_j}\).
Proof
For \(1\le j,k\le n\), set \(\Upsilon ^{{\bar{k}} j}=(-\rho )^2|\partial \rho |^{-2}\frac{\partial \rho }{\partial z_k}\frac{\partial \rho }{\partial {\bar{z}}_j}\). Using (3.1), each \(\Upsilon ^{{\bar{k}} j}\in C^{2,1}(U)\), so \(\Upsilon \in {\mathcal {M}}^2_{\Omega ,0}(U)\). Using Lemma 4.1 with \(\eta =0\), (4.2) implies that
Rearranging terms and substituting (2.6) gives us
Using the Cauchy–Schwarz inequality and the small constant/large constant inequality, we see that (4.6) follows. \(\square \)
Next, we show that estimates for tangential (1, 0)-derivatives in any basis are comparable to estimates in our special basis. In particular, this implies that Definition 2.1 is independent of the choice of orthonormal coordinates.
Lemma 4.3
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^2\) boundary. Let \(p\in \partial \Omega \) and let U be a neighborhood of p that is sufficiently small so that the special orthonormal basis \(\{{\tilde{L}}_j\}_{j=1}^n\) given by Lemma 3.2 exists. Let \(\{L_j\}_{j=1}^n\) be an orthonormal basis for \(T^{1,0}(U)\) with Lipschitz coefficients such that \(\{L_j|_{\partial \Omega \cap U}\}_{j=1}^{n-1}\) is an orthonormal basis for \(T^{1,0}(\partial \Omega \cap U)\). For every \(\epsilon >0\), there exists a neighborhood \(U_\epsilon \subset U\) of p and a constant \(C_\epsilon >0\) such that
and
for all \(u\in W^{1,2}(\Omega )\) supported in \({\overline{\Omega }}\cap U_\epsilon \).
Proof
Let \(\rho \in C^2(U)\cap C^\infty (U\backslash \partial \Omega )\) be the defining function given by Lemma 3.1, and recall that \({\tilde{L}}_n=|\partial \rho |^{-1}\sum _{j=1}^n\frac{\partial \rho }{\partial {\bar{z}}_j}\frac{\partial }{\partial z_j}\).
Since \(\sum _{j=1}^{n}\left\| {\tilde{L}}_j u\right\| ^2_{L^2(\Omega )}=\sum _{j=1}^{n}\left\| L_j u\right\| ^2_{L^2(\Omega )}\), we have
Since \({\tilde{L}}_n\) and \(L_n\) are linearly dependent on \(\partial \Omega \),
This means that
so
Using the decomposition \(L_n=\sum _{j=1}^n\left<L_n,{\tilde{L}}_j\right>{\tilde{L}}_j\), we see that
so there must exist a constant \(C>0\) such that
By the small constant/large constant inequality, we see that for every \(\epsilon >0\) there exists a constant \(C_\epsilon >0\) and a neighborhood \(U_\epsilon \) of p so that we have
whenever \(u\in W^{1,2}(\Omega )\) is supported in \({\overline{\Omega }}\cap U_\epsilon \). Now (4.6) with \(Z={\tilde{L}}_n\) allows us to further refine \(C_\epsilon \) and \(U_\epsilon \) so that
If we substitute (4.9), then we may subtract \(\sum _{j=1}^{n-1}\epsilon \left\| {\tilde{L}}_j u\right\| ^2_{L^2(\Omega )}\) and make a final adjustment to \(C_\epsilon \) and \(U_\epsilon \) so that (4.7) and (4.8) follow. \(\square \)
Lemma 4.4
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^2\) boundary. Let \(p\in \partial \Omega \) and let U be a neighborhood of p. Let \(0\le \eta \le 1\), and let \(\Upsilon \in {\mathcal {M}}^1_\Omega (U)\). For \(0\le q\le n\) and \(u,v\in W^{1,2}(\Omega )\) supported in \({\overline{\Omega }}\cap U\), define \(G_{\Upsilon ,\eta }(u,v)\) by (4.1). Let \(\{L_j\}_{j=1}^n\) be an orthonormal basis for \(T^{1,0}(U)\) with Lipschitz coefficients such that \(\{L_j|_{\partial \Omega \cap U}\}_{j=1}^{n-1}\) is an orthonormal basis for \(T^{1,0}(\partial \Omega \cap U)\). Then for every \(\epsilon >0\), there exists a neighborhood \(U_\epsilon \subset U\) of p and a constant \(C_\epsilon >0\) such that
for all \(u\in W^{1,2}(\Omega )\) supported in \({\overline{\Omega }}\cap U_\epsilon \).
Proof
Since every eigenvalue of \(\Upsilon \) is non-negative and bounded by 1,
so the Cauchy–Schwarz inequality followed by the small constant/large constant inequality imply that for every \(\epsilon >0\) there exists \(C_\epsilon >0\) such that
Since (4.11) gives us (4.10) for the first term in (4.1), we may now turn our attention to the second term.
Let \(\rho \in C^2(U)\cap C^\infty (U\backslash \partial \Omega )\) be the defining function given by Lemma 3.1, and let \(\{{\tilde{L}}_j\}_{j=1}^n\) be the orthonormal basis given by Lemma 3.2 (after possibly shrinking U). Since \(\left<\frac{\partial }{\partial z_j},{\tilde{L}}_n\right>=|\partial \rho |^{-1}\sum _{j=1}^n\frac{\partial \rho }{\partial {\bar{z}}_j}\), we have
Using this decomposition with (2.5) and (2.7) together with the fact that every eigenvalue of \(\Upsilon \) is bounded above by one, we see that for every \(\epsilon >0\) there exists \(C_\epsilon >0\) such that
If we combine this with (4.7), (4.6), and (4.11), we see that for each \(\epsilon >0\) we may further shrink \(U_\epsilon \) and choose a larger constant \(C_\epsilon >0\) so that (4.10) holds. \(\square \)
Lemma 4.5
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^2\) boundary. Let \(p\in \partial \Omega \) and let U be a neighborhood of p. Let \(0\le \eta \le 1\), and for \(0<a<b<1\), let \(\Upsilon \in {\mathcal {M}}^1_\Omega (U)\) have \(n-1\) eigenvalues (counting multiplicity) in the interval [a, b] almost everywhere on U. For \(0\le q\le n\) and \(u,v\in W^{1,2}(\Omega )\) supported in \({\overline{\Omega }}\cap U\), define \(G_{\Upsilon ,\eta }(u,v)\) by (4.1). Let \(\{L_j\}_{j=1}^n\) be an orthonormal basis for \(T^{1,0}(U)\) with Lipschitz coefficients such that \(\{L_j|_{\partial \Omega \cap U}\}_{j=1}^{n-1}\) is an orthonormal basis for \(T^{1,0}(\partial \Omega \cap U)\). Then for every \(\epsilon >0\), there exists a neighborhood \(U_\epsilon \subset U\) of p and a constant \(C_\epsilon >0\) such that
for all \(u\in W^{1,2}(\Omega )\) supported in \({\overline{\Omega }}\cap U_\epsilon \).
Proof
Since every eigenvalue of \(\Upsilon \) is bounded above by b,
so the Cauchy–Schwarz inequality followed by the small constant/large constant inequality imply that for every \(\epsilon >0\) there exists \(C_\epsilon >0\) such that
Since (4.14) gives us (4.13) for the first term in (4.1), we may now turn our attention to the second term.
Let \(\rho \in C^2(U)\cap C^\infty (U\backslash \partial \Omega )\) be the defining function given by Lemma 3.1, and let \(\{{\tilde{L}}_j\}_{j=1}^n\) be the orthonormal basis given by Lemma 3.2 (after possibly shrinking U). On \(\partial \Omega \cap U\), \({\tilde{L}}_n\) spans the kernel of \(\Upsilon \) by (2.7), so the restriction of \(\Upsilon \) to \({{\,\textrm{span}\,}}\{{\tilde{L}}_j\}_{j=1}^{n-1}\) must have eigenvalues bounded below by a almost everywhere on \(\partial \Omega \cap U\). If we use this with (4.12), (2.5), and (2.7), we see that for every \(\epsilon >0\) there exists \(C_\epsilon >0\) such that
If we combine this with (4.8), (4.6), and (4.14), we see that for each \(\epsilon >0\) we may further shrink \(U_\epsilon \) and choose a larger constant \(C_\epsilon >0\) so that (4.10) holds. \(\square \)
5 A Necessary Condition for Maximal Estimates
Proof of Theorem 2.2
We follow the proof of Theorem 3.2.1 in [20]. Fix \({\tilde{p}}\in \partial \Omega \cap U\). After a translation and rotation, we may assume that \({\tilde{p}}=0\) and that there exists a neighborhood \({\tilde{U}}\) of \({\tilde{p}}\) on which
where \(z'=(z_1,\ldots ,z_{n-1})\), \(z_n=x_n+iy_n\), and \(\varphi \) is a \(C^{2,\alpha }\) function in some neighborhood of the origin that vanishes to second order at the origin. It is easy to check that (2.2) is independent of our choice of defining function, so we let \(\rho (z)=\varphi (z',{{\,\textrm{Re}\,}}z_n)-{{\,\textrm{Im}\,}}z_n\) on \({\tilde{U}}\). Since \(\partial \rho (0)=\frac{i}{2}dz_n\), we have
Define
After a unitary change of coordinates, we may assume that
for some increasing sequence of real numbers \(\{\lambda _j\}_{1\le j\le n-1}\). By construction, each \(\lambda _j\) represents an eigenvalue of the Levi-form at \({\tilde{p}}=0\) with respect to the defining function \(\rho \).
After further shrinking \({\tilde{U}}\), we let \(\{L_j\}_{j=1}^n\) be the orthonormal coordinates given by Lemma 3.2. Without loss of generality, we may assume that \(L_j|_{0}=\frac{\partial }{\partial z_j}\) for all \(1\le j\le n-1\). We write \(L_j=\sum _{k=1}^n u_j^k(z)\frac{\partial }{\partial z_k}\) for all \(1\le j\le n\), where \(u_j^k\in C^{1}({\tilde{U}})\cap W^{2,1}({\tilde{U}})\) for all \(1\le j,k\le n\) and \((u_j^k(z))_{1\le j,k\le n}\) is a unitary matrix for every \(z\in {\tilde{U}}\). Define \(\Upsilon (z)=(\Upsilon ^{{\bar{k}} j}(z))_{1\le j,k\le n}\) by \(\Upsilon ^{{\bar{k}} j}(z)=\sum _{\{1\le \ell \le n-1:\lambda _\ell (0)>0\}}\overline{u_\ell ^k(z)}u_\ell ^j(z)\) for all \(1\le j,k\le n\) and \(z\in {\tilde{U}}\). Note that \(\Upsilon \) is Hermitian and every eigenvalue of \(\Upsilon \) must be either 0 or 1. If \({\tilde{\rho }}\) is the defining function given by Lemma 3.1, then \(\sum _{k=1}^n\frac{\partial {\tilde{\rho }}}{\partial {\bar{z}}_k}\Upsilon ^{{\bar{k}} j}\equiv 0\) on \({\tilde{U}}\), so (2.5) must hold for any \(C^{2,\alpha }\) defining function \(\rho \). Since \(C^1({\tilde{U}})\cap W^{2,1}({\tilde{U}})\) is a Banach algebra, \(\Upsilon ^{{\bar{k}} j}\in C^1({\tilde{U}})\cap W^{2,1}({\tilde{U}})\). We immediately obtain \(\Upsilon ^j\in L^\infty ({\tilde{U}})\) for all \(1\le j\le n\), so \(\Upsilon \in {\mathcal {M}}^1_\Omega ({\tilde{U}})\). Since every eigenvalue of \(\Upsilon \) is equal to either zero or one, \(\Upsilon \) is a projection, which means \(\Upsilon ^2 = \Upsilon \). This means that the components of \(\Upsilon \) satisfy \(\Upsilon ^{{\bar{k}} j}=\sum _{\ell =1}^n\Upsilon ^{{\bar{k}}\ell }\Upsilon ^{{\bar{\ell }} j}\) on \({\tilde{U}}\), and hence \(\Theta _{\Upsilon ,1}\in L^\infty ({\tilde{U}})\) by (2.6). We conclude that \(\Upsilon \in {\mathcal {M}}^2_{\Omega ,1}({\tilde{U}})\). Observe that \(\Upsilon \) is diagonal at the origin and for \(1\le j\le n-1\) we have
Let \(u\in C^1_{0,q}({\overline{\Omega }})\cap {{\,\textrm{Dom}\,}}{\bar{\partial }}^*\) be supported in \({\overline{\Omega }}\cap {\tilde{U}}\). If we apply (4.10) to each component of u and combine this with (2.1), we see that for every \({\tilde{A}}>A\) there exists \(C_{{\tilde{A}}}>0\) such that
We note that this may require a further shrinking of \({\tilde{U}}\). Using (4.2) with \(\eta =1\), we have
We substitute (5.5) to obtain
for some \({\tilde{B}}>0\). Substituting (1.1) and rearranging terms gives us
Let \(\psi _1\in C^\infty _0({\mathbb {C}}^{n-1})\) and \(\psi _3\in C^\infty _0({\mathbb {R}})\) satisfy \(\psi _3\equiv 1\) in a neighborhood of 0 and \(\int _{{\mathbb {R}}}|\psi _3|^2=1\). For \(x+iy\in {\mathbb {C}}\), if we define
then \(\psi _2(z)\) is a smooth, compactly supported function on \({\mathbb {C}}\) satisfying
and
Let f(z) be the holomorphic polynomial
Then we have
For any \(\tau >0\) we define a form in \(C^\infty _{(0,q)}({\overline{\Omega }})\cap {{\,\textrm{Dom}\,}}{\bar{\partial }}^*\) by
We introduce the change of coordinates \(z_j(\tau )=\tau ^{-1}w_j\) for \(1\le j\le n-1\) and \(z_n(\tau )=\tau ^{-1}{{\,\textrm{Re}\,}}w_n+i\tau ^{-2}{{\,\textrm{Im}\,}}w_n\). Using (5.9), we have
so as \(\tau \rightarrow \infty \) in our special coordinates, we will be working on the domain
We may compute
so
We compute \(\int _a^\infty e^{-2x}\,dx=\frac{1}{2}e^{-2a}\) for any \(a\in {\mathbb {R}}\). Since \(i\, dz_n\wedge d{\bar{z}}_n=2\, dx_n\wedge dy_n\), we have \(dV_w=2\, dV_{w'}\wedge dx_n\wedge dy_n\). With these facts in mind, we may use (5.11) to evaluate the integral in (5.13) with respect to \({{\,\textrm{Im}\,}}w_n\) (keeping in mind that the integration is over \(\Omega _w\)) and then use (5.8) to evaluate with respect to \({{\,\textrm{Re}\,}}w_n\) and obtain
Observe that \(\, d\sigma |_{0}=\sqrt{2}\, dV_{z'}\wedge dx_n\). Hence, we may use (5.11) and (5.8) to integrate (5.12) over the boundary and obtain
Similarly, using (5.1), we also have
Substituting (5.2) and (5.3) in (5.16), we obtain
For \(1\le k\le n-1\), we compute
Furthermore,
Hence, using (5.7) and observing that the second term in each derivative is uniformly bounded in \(\tau \), we have
Integrating (5.19) as before, we obtain
If we substitute \(u^\tau \) in (5.6), multiply by \(\tau ^{2n-1}\), and take the limit as \(\tau \rightarrow \infty \), we may use (5.4), (5.15), (5.2), (5.3), (5.1), (5.17), and (5.20) to obtain
Since this holds for all \(\psi _1\in C^\infty _0({\mathbb {C}}^{n-1})\), we may use Lemma 3.2.2 in [20] to show
Multiplying by \(\frac{{\tilde{A}}-1}{{\tilde{A}}}\) and rearranging terms, this is equivalent to
Since this holds for every \({\tilde{A}}>A\), (2.2) follows. \(\square \)
Corollary 5.1
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^{2,\alpha }\) boundary, \(\alpha >0\), and let \(1\le q\le n-1\). Assume that \(\Omega \) admits maximal estimates on (0, q)-forms near \(p\in \partial \Omega \). For any \({\tilde{p}}\in \partial \Omega \) sufficiently close to p, if any eigenvalue of the Levi-form is non-vanishing at \({\tilde{p}}\), then \(\partial \Omega \) satisfies Z(q) at \({\tilde{p}}\).
Proof
Suppose that the Levi-form at \({\tilde{p}}\) has at most \(n-q-1\) positive eigenvalues. Then (2.2) implies
The right-hand side is strictly positive by hypothesis, and hence the left-hand side must also be positive. This means that \(\lambda _j<0\) for at least one \(q+1\le j\le n-1\), and so the Levi-form has at least \(q+1\) negative eigenvalues. Hence, the Levi-form at \({\tilde{p}}\) has at least \(n-q\) positive eigenvalues or at least \(q+1\) negative eigenvalues. \(\square \)
6 A Sufficient Condition for Maximal Estimates
Proof of Proposition 2.4
Fix a neighborhood V of p that is relatively compact in U, and choose \(0<\epsilon <\frac{1}{2}-\frac{1}{A}\) such at least \(n-1\) eigenvalues of \(\Upsilon \) lie in
on \({\overline{V}}\). Let \(u\in C^1_{0,q}({\overline{\Omega }})\cap {{\,\textrm{Dom}\,}}{\bar{\partial }}^*\) be supported in \({\overline{\Omega }}\cap V\). We begin with the Morrey-Kohn identity (1.1). Using Lemma 4.1, we may expand \({\bar{Z}}_{j,\eta -1}u_J\) in (4.2) and combine this with (1.1) to obtain
Since at least \(n-1\) of the eigenvalues of \(\Upsilon \) lie in \(\left[ \frac{1}{A(1-2\epsilon )},1-\frac{1}{A(1-2\epsilon )}\right] \) on \({\overline{V}}\), we apply (4.13) to each component of u to see that there exist a constant \(C_\epsilon >0\) and a neighborhood \(V_\epsilon \subset V\) of p such that
whenever \(u\in C^1_{0,q}({\overline{\Omega }})\cap {{\,\textrm{Dom}\,}}{\bar{\partial }}^*\) is supported in \({\overline{\Omega }}\cap V_\epsilon \). Using, e.g., Lemma 4.7 in [24], we see that (2.8) implies that the boundary term is non-negative. A final application of the Cauchy–Schwarz inequality and the small constant/large constant inequality will imply (2.1). \(\square \)
In the spirit of [14], we have the following obvious corollary:
Corollary 6.1
Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^3\) boundary and let \(1\le q\le n-1\). Let \(\rho \) be a \(C^3\) defining function for \(\Omega \). Assume that for some \(p\in \partial \Omega \) there exists a neighborhood U of p, a constant \(A>2\), and a positive semi-definite Hermitian \(n\times n\) matrix \({\tilde{\Upsilon }}\) with entries in \(C^{1,1}(\partial \Omega \cap U)\) such that:
-
(1)
(4.4) holds on \(U\cap \partial \Omega \) for every \(1\le k\le n\),
-
(2)
counting multiplicity, \({\tilde{\Upsilon }}\) has \(n-1\) eigenvalues in \((1/A,1-1/A)\) on \(\partial \Omega \cap U\),
-
(3)
if \(\{\lambda _1,\ldots ,\lambda _{n-1}\}\) denote the eigenvalues of the Levi-form (computed with \(\rho \)) arranged in increasing order, then (2.8) holds on \(U\cap \partial \Omega \).
Then \(\Omega \) admits a maximal estimate on (0, q)-forms near p.
Proof
Let \(\{L_j\}_{j=1}^n\) be the orthonormal coordinates given by Lemma 3.2. If we express the coefficients of \({\tilde{\Upsilon }}\) with respect to these coordinates, it is not difficult to extend \({\tilde{\Upsilon }}\) to \(\Upsilon \) with coefficients in \(C^{1,1}(U)\) in such a way that \(\Upsilon \) is positive semi-definite (for example, see the construction used in Lemma 2.11 in [14] or Lemma 3.1 in [17]). Since \(\Upsilon \) has entries in \(C^{1,1}\), it is trivial to note that \(\Upsilon ^j\in L^\infty (U)\) for all \(1\le j\le n\) and \(\Theta _{\Upsilon ,0}\in L^\infty (U)\). We may clearly choose U sufficiently small so that \(n-1\) eigenvalues of \(\Upsilon \) lie in \((1/A,1-1/A)\) on U, so the conditions of Proposition 2.4 are satisfied. \(\square \)
We now have enough information to completely characterize the case in which the Levi-form is non-vanishing at a point.
Proof of Theorem 2.6
Suppose that \(\Omega \) satisfies Z(q) at p. Let \(\rho \) be a \(C^3\) defining function for \(\Omega \) on some neighborhood U of p. After a rotation and a translation, we may assume that \(p=0\), \(\frac{\partial \rho }{\partial z_j}(0)=0\) for all \(1\le j\le n-1\), \(\frac{\partial \rho }{\partial z_n}(0)=-\frac{i}{2}|\partial \rho (0)|\), \(\frac{\partial ^2\rho }{\partial z_j\partial {\bar{z}}_k}(0)=0\) whenever \(1\le j,k\le n-1\) and \(j\ne k\), and \(\frac{\partial ^2\rho }{\partial z_j\partial {\bar{z}}_j}(0)\le \frac{\partial ^2\rho }{\partial z_k\partial {\bar{z}}_k}(0)\) whenever \(1\le j\le k\le n-1\). We assume that U is sufficiently small so that \(\frac{\partial \rho }{\partial z_n}\ne 0\) on U.
Let m denote the number of negative eigenvalues of the Levi-form at p, so that \(\frac{\partial ^2\rho }{\partial z_j\partial {\bar{z}}_j}(0)<0\) if and only if \(1\le j\le m\). Let \(0<a<b<1\). For \(z\in U\), set \(\Upsilon ^{{\bar{j}} j}(z)=b\) whenever \(1\le j\le m\), \(\Upsilon ^{{\bar{j}} j}(z)=a\) whenever \(m+1\le j\le n-1\), \(\Upsilon ^{{\bar{k}} j}(z)=0\) whenever \(1\le j,k\le n-1\) and \(j\ne k\), \(\Upsilon ^{{\bar{n}} j}(z)=-b\left( \frac{\partial \rho }{\partial {\bar{z}}_n}(z)\right) ^{-1}\frac{\partial \rho }{\partial {\bar{z}}_j}(z)\) for all \(1\le j\le m\), \(\Upsilon ^{{\bar{k}} n}(z)=-b\left( \frac{\partial \rho }{\partial z_n}(z)\right) ^{-1}\frac{\partial \rho }{\partial z_k}(z)\) for all \(1\le k\le m\), \(\Upsilon ^{{\bar{n}} j}(z)=-a\left( \frac{\partial \rho }{\partial {\bar{z}}_n}(z)\right) ^{-1}\frac{\partial \rho }{\partial {\bar{z}}_j}(z)\) for all \(m+1\le j\le n-1\), \(\Upsilon ^{{\bar{k}} n}(z)=-a\left( \frac{\partial \rho }{\partial z_n}(z)\right) ^{-1}\frac{\partial \rho }{\partial z_k}(z)\) for all \(m+1\le k\le n-1\), and \(\Upsilon ^{{\bar{n}} n}(z)=\left| \frac{\partial \rho }{\partial z_n}(z)\right| ^{-2}\left( \sum _{j=1}^mb\left| \frac{\partial \rho }{\partial z_j}(z)\right| ^{2}+\sum _{j=m+1}^{n-1}a\left| \frac{\partial \rho }{\partial z_j}(z)\right| ^{2}\right) \). By construction, \(\Upsilon \) satisfies (4.4). At p, \(\Upsilon \) has m eigenvalues equal to b and \(n-1-m\) eigenvalues equal to a, so if we choose \(A>\max \{1/a,1/(1-b)\}\), then we may shrink U so that \(\Upsilon \) has \(n-1\) eigenvalues in the interval \((1/A,1-1/A)\) on U.
Let \(\{\lambda _j\}_{j=1}^{n-1}\) denote the eigenvalues of the Levi-form with respect to \(\rho \) arranged in non-decreasing order. By construction, \(\lambda _j(0)=\frac{\partial ^2\rho }{\partial z_j\partial {\bar{z}}_j}(0)\) for all \(1\le j\le n-1\). Hence,
If the Levi-form has at least \(q+1\) negative eigenvalues, then \(m\ge q+1\), so
Since \(-\sum _{j=q+1}^m \lambda _j(0)>0\), we may choose b sufficiently close to 1 and a sufficiently close to 0 so that (2.8) holds in a neighborhood of p. If the Levi-form has at least \(n-q\) positive eigenvalues, then \(m\le q-1\), so
Since \(\lambda _q(0)>0\), we have \(\sum _{j=m+1}^q\lambda _j(0)>0\), and hence we may once again choose b sufficiently close to 1 and a sufficiently close to 0 so that (2.8) holds in a neighborhood of p.
We have shown that \(\Upsilon \) satisfies the hypotheses of Corollary 6.1, and hence maximal estimates hold for (0, q)-forms in a neighborhood of p. The converse follows from Corollary 5.1. \(\square \)
In the language of the present paper, [9] and [4] carry out integration by parts using \(\Upsilon \) with an eigenvalue in (0, 1) with multiplicity \(n-1\). If we apply this method to a domain which is not necessarily pseudoconvex, we obtain Theorem 2.7, as we will see:
Proof of Theorem 2.7
Since (2.9) and (2.10) are independent of the choice of defining function, we let \(\rho \) be the defining function for \(\Omega \) given by Lemma 3.1.
We first assume that (2.9) holds. Note that this necessarily implies that \(\lambda _q\ge 0\) on \(\partial \Omega \cap U\). Assume that U is sufficiently small so that (2.2) holds on U for some \(A>2\). Fix \(0<t<\frac{\epsilon }{(1+\epsilon )A-2}\). Observe that this implies \(0<t<\frac{1}{A}<\frac{1}{2}\). For \(1\le j,k\le n\), set
for all \(z\in U\). We immediately obtain (2.5). As in the proof of Lemma 3.2, we may show that \(\Upsilon ^{{\bar{k}} j}\in C^1(U)\cap W^{2,1}(U)\) for all \(1\le j,k\le n\). Hence \(\Upsilon ^j\in L^\infty (U)\) for all \(1\le j\le n\). For \(1\le j,k\le n\), we also have \(\Upsilon ^{{\bar{k}} j}=t^{-1}\sum _{\ell =1}^n \Upsilon ^{{\bar{k}}\ell }\Upsilon ^{{\bar{\ell }} j}\), so (2.6) can be used to show that \(\Theta _{\Upsilon ,t^{-1}}\in L^\infty (U)\). Observe that \(\Upsilon \) has an eigenvalue of t with multiplicity \(n-1\) and an eigenvalue of zero with multiplicity one. We conclude that \(\Upsilon \in {\mathcal {M}}^2_{\Omega ,t^{-1}}(U)\).
For \(z\in \partial \Omega \cap U\), we set
Each of these functions is a sum of non-negative terms, so each function is non-negative valued. With this notation, (2.2) can be written \(g(z)\ge \frac{1}{A}(f(z)+g(z)+h(z))\) and (2.9) can be written \(-f(z)+g(z)\ge \epsilon f(z)\). For \(z\in \partial \Omega \cap U\), we compute
Since (2.2) implies \(-h(z)\ge f(z)+(1-A)g(z)\), we have
Now (2.9) implies \(g(z)\ge (1+\epsilon )f(z)\), so since \(1-tA>0\) we have
Since \(f(z)\ge 0\) and we have chosen t so that \(\epsilon -t((1+\epsilon )A-2)>0\), we have (2.8). Thus we have satisfied the hypotheses of Proposition 2.4.
Next, we assume that (2.10) holds. Note that this necessarily implies that \(\lambda _{q+1}\le 0\) on \(\partial \Omega \cap U\). Assume that U is sufficiently small so that (2.2) holds on U for some \(A>2\). Fix \(1-\frac{\epsilon }{(1+\epsilon )A-2}<t<1\). Observe that this implies \(1>t>1-\frac{1}{A}>\frac{1}{2}\). For \(1\le j,k\le n\) and \(z\in U\), we define \(\Upsilon ^{{\bar{k}} j}\) by (6.1). As before, we obtain \(\Upsilon \in {\mathcal {M}}^2_{\Omega ,t^{-1}}\). For \(z\in \partial \Omega \cap U\), we set
In the context of (2.10), each of these functions is non-negative valued, (2.2) can be written \(g(z)\ge \frac{1}{A}(f(z)+g(z)+h(z))\), and (2.10) can be written \(g(z)-h(z)\ge \epsilon h(z)\). For \(z\in \partial \Omega \cap U\), we compute
Since (2.2) implies \(-f(z)\ge (1-A)g(z)+h(z)\), we have
Now (2.10) implies \(g(z)\ge (1+\epsilon )h(z)\), so since \(1-(1-t)A>0\) we have
Since \(h(z)\ge 0\) and we have chosen t so that \(\epsilon -(1-t)((1+\epsilon )A-2)>0\), we have (2.8). Once again, we have satisfied the hypotheses of Proposition 2.4. \(\square \)
Although we have omitted any discussion of the constant A in the statement of Theorem 2.7, it can be seen in the proof that if (2.2) holds for some \(A>2\), then we obtain (2.1) with A replaced by any constant \({\tilde{A}}>\frac{(1+\epsilon )A-2}{\epsilon }\). In the pseudoconvex or pseudoconcave cases, we can take \(\epsilon \) to be arbitrarily large, which means that we can take \({\tilde{A}}\) to be arbitrarily close to A.
7 Examples
When working with explicit examples, it will be helpful to have techniques for computing the trace and determinant of the Levi-form without the need to explicitly compute an orthonormal basis for \(T^{1,0}(\partial \Omega )\). Let \(\Omega \subset {\mathbb {C}}^n\) be a domain with \(C^2\) boundary and let \(\rho \) be a \(C^2\) defining function for \(\Omega \). Let \((a_j^k(z))_{1\le j,k\le n}\) be a unitary matrix parameterized by \(z\in \partial \Omega \) such that \(\left\{ \sum _{k=1}^n a_j^k(z)\frac{\partial }{\partial z_k}\right\} _{1\le j\le n-1}\) is an orthonormal basis for \(T^{1,0}(\partial \Omega )\) and \(a_n^k(z)=|\partial \rho (z)|^{-1}\frac{\partial \rho }{\partial {\bar{z}}_k}(z)\) for all \(1\le k\le n\). Then the trace of the Levi-form with respect to the defining function \(\rho \) is given by
Since \((a_j^k)_{1\le j,k\le n}\) is unitary, \(\sum _{\ell =1}^n a_\ell ^j{\bar{a}}_\ell ^k=\delta _{jk}\) for all \(1\le j,k\le n\), and hence
To compute the determinant of the Levi-form, suppose that \(p\in \partial \Omega \) is a point at which \(\frac{\partial \rho }{\partial z_n}(p)\ne 0\). Let U be a neighborhood of p such that \(\frac{\partial \rho }{\partial z_n}\ne 0\) on U. For \(1\le j\le n-1\), we may define \(L_j=\frac{\partial }{\partial z_j}-\left( \frac{\partial \rho }{\partial z_n}\right) ^{-1}\frac{\partial \rho }{\partial z_j}\frac{\partial }{\partial z_n}\), so that \(\{L_j\}_{1\le j\le n-1}\) is a basis for \(T^{1,0}(\partial \Omega \cap U)\). This is not orthonormal, since \(\left<L_j,L_k\right>=\delta _{jk}+\left| \frac{\partial \rho }{\partial z_n}\right| ^{-2}\frac{\partial \rho }{\partial z_j}\frac{\partial \rho }{\partial {\bar{z}}_k}\) for all \(1\le j,k,\le n-1\), but we may compute the determinant of the \((n-1)\times (n-1)\) matrix
Suppose that \((b_j^k(z))_{1\le j,k\le n-1}\) is a matrix parameterized by \(z\in \partial \Omega \cap U\) such that \(\left\{ \sum _{k=1}^n b_j^k(z)L_k\right\} _{1\le j\le n-1}\) is an orthonormal basis for \(T^{1,0}(\partial \Omega \cap U)\). Since the determinant is multiplicative, we must have \(\left| \det (b_j^k)_{1\le j,k\le n-1}\right| =\left| \frac{\partial \rho }{\partial z_n}\right| |\partial \rho |^{-1}\). If we compute the determinant of the Levi-form in these orthonormal coordinates, we may use (2.3) to write
so since the determinant is multiplicative, we have
Our first example demonstrates that the values of A in our necessary condition and our sufficient condition are sharp:
Proposition 7.1
For \(t\ge 1\), let \(\Omega \subset {\mathbb {C}}^3\) be the domain defined by the function
Then (2.2) holds for \(q=2\) on some neighborhood of the origin only if \(A>1+t\), and for every \(A>1+t\) there exists a neighborhood U of the origin on which (2.1) holds for \(q=2\) and some \(B>0\).
Proof
We compute
and
Using (7.1), we compute
In the notation of (7.2), (2.3) implies \({{\,\textrm{Hess}\,}}(L_j,{\bar{L}}_k)\rho _t=\frac{\partial ^2\rho _t}{\partial z_j\partial {\bar{z}}_k}\) for all \(1\le j,k\le 2\), so (7.2) implies
Observe that \(\det {\mathcal {L}}\le 0\), so we must always have at least one non-positive and one non-negative eigenvalues. This means that to show (2.2) for \(q=2\), we must find A satisfying \(\lambda _2\ge \frac{1}{A}(\lambda _2-\lambda _1)\) near the origin.
When \(z_2=0\), \(|\partial \rho _t|^2=({{\,\textrm{Re}\,}}z_1)^4+\frac{1}{4}\), so we have
and
Since the Levi-form is represented by a \(2\times 2\) matrix, this suffices to characterize the eigenvalues. In particular, when \(z_2=0\) and \({{\,\textrm{Re}\,}}z_1>0\), we have
so A must satisfy
Hence, (2.2) holds on a sufficiently small neighborhood of the origin only if \(A>t+1\).
For the converse, we fix \(A>t+1\). Define \(\Upsilon ^{{\bar{k}} j}\) for \(1\le j,k\le 2\) by \(\Upsilon ^{{\bar{1}} 1}=\frac{1}{1+t}-\frac{1}{2}{{\,\textrm{Re}\,}}z_1\), \(\Upsilon ^{{\bar{2}} 2}=\frac{t}{1+t}+\frac{1}{2t}{{\,\textrm{Re}\,}}z_1\), \(\Upsilon ^{{\bar{2}} 1}=\frac{1}{t}{\bar{z}}_2\), and \(\Upsilon ^{{\bar{1}} 2}=\frac{1}{t}z_2\). For \(1\le j\le 2\), we define \(\Upsilon ^{{\bar{3}} j}=-2i\sum _{k=1}^2\frac{\partial \rho _t}{\partial {\bar{z}}_k}\Upsilon ^{{\bar{k}} j}\) and \(\Upsilon ^{{\bar{j}} 3}=\overline{\Upsilon ^{{\bar{3}} j}}\). We define \(\Upsilon ^{{\bar{3}} 3}=2i\sum _{j=1}^2\Upsilon ^{{\bar{3}} j}\frac{\partial \rho _t}{\partial z_j}=4\sum _{j,k=1}^2\frac{\partial \rho _t}{\partial {\bar{z}}_k}\Upsilon ^{{\bar{k}} j}\frac{\partial \rho _t}{\partial z_j}\). We have \(\sum _{k=1}^3\frac{\partial \rho _t}{\partial {\bar{z}}_k}\Upsilon ^{{\bar{k}} j}\equiv 0\) for all \(1\le j\le 3\), so \(\Upsilon \) must satisfy (4.4). When \({{\,\textrm{Re}\,}}z_1=0\) and \(z_2=0\), \(\Upsilon \) is diagonal with diagonal entries \(\frac{1}{1+t}\), \(\frac{t}{1+t}\), and 0. Hence, for any \(0<\epsilon <\frac{1}{1+t}-\frac{1}{A}\), there exists a neighborhood U of the origin on which the non-trivial eigenvalues of \(\Upsilon \) lie in the interval
We have
and
so for any \(\epsilon >0\) there exists a neighborhood U of the origin on which
from which (2.8) follows for \(q=2\). We have shown that \(\Upsilon \) satisfies the hypotheses of Corollary 6.1, so we have maximal estimates on (0, 2)-forms on a neighborhood of the origin. \(\square \)
We conclude with an example demonstrating the gap between Proposition 2.4 and Corollary 6.1:
Proposition 7.2
For \(t\in {\mathbb {R}}\), let \(\Omega _t\subset {\mathbb {C}}^3\) be the domain defined by the function
Then the hypotheses of Corollary 6.1 fail for \(q=2\) whenever \(t>1\), but we have maximal estimates for (0, 2)-forms near the origin whenever \(t<\frac{13+2\sqrt{31}}{9}\) and the necessary condition (2.2) holds for \(q=2\) whenever \(t\in {\mathbb {R}}\).
Proof
We start with some preliminary calculations. We compute
and
By (7.1),
and by (7.2),
In particular,
and
Fix \(t>1\). We will now show that the hypotheses of Corollary 6.1 fail with this choice of t. Suppose that \(\Upsilon \) is a positive semi-definite Hermitian \(3\times 3\) matrix with continuous coefficients that satisfies (2.8) in a neighborhood of the origin, and has eigenvalues in some relatively compact subset of (0, 1) at the origin. When \(z_1=0\), we have
If we divide this by \(|z_2|^2\) and let z approach the origin, we have
When \(z_2=0\), we have
This time, we divide by \(|z_1|^2\) before letting z approach the origin to obtain
If we multiple (7.5) by t and add it to (7.6), we obtain
while multiplying (7.6) by t and adding it to (7.5) gives us
Since \(1-t^2<0\) by assumption, \(\Upsilon ^{{\bar{1}} 1}(0)\ge 1\) and \(\Upsilon ^{{\bar{2}} 2}(0)\ge 1\). This guarantees that \(\Upsilon \) must have at least one eigenvalue greater than or equal to one, contradicting our hypotheses. Hence, the hypotheses of Corollary 6.1 must fail whenever \(t>1\).
We now turn to the most difficult calculation in this proof: that the hypotheses of Proposition 2.4 hold when \(t < \frac{13+2\sqrt{31}}{9}\). Before constructing \(\Upsilon \), we first define the rational functions \(f_j(z)=\frac{|z_j|^2}{|z_1|^2+|z_2|^2}\) for \(1\le j\le 2\) and \(g(z)=4f_1(z)f_2(z)\). Observe that \(0\le f_j(z)\le 1\) for every \(1\le j\le 2\) and almost every \(z\in {\mathbb {C}}^3\). Since
we must also have \(0\le g(z)\le 1\) for almost every \(z\in {\mathbb {C}}^3\). Hence, \(f_1,f_2,g\in L^\infty ({\mathbb {C}}^3)\), even though each function is discontinuous at any point for which \(z_1=z_2=0\). When \(|z_1|^2+|z_2|^2\ne 0\), we have
At such points, we have
so (7.7) gives us
Similarly,
so (7.7) gives us
Fix a and b such that \(0<a<1\) and \(0<b<\min \left\{ \frac{1}{4}a,1-a\right\} \). When \(|z_1|^2+|z_2|^2\ne 0\) we set
and otherwise we set \(\psi (z)=0\). We have
Observe that if \(D^k\) is a kth-order differential operator for some integer \(k\ge 0\), then we have \(|D^k\psi (z)|\le O((\sqrt{|z_1|^2+|z_2|^2})^{2-k})\) on U. Hence, standard integral estimates imply that \(\psi \in C^{1,1}(U)\cap W^{3,4-\epsilon }(U)\cap W^{4,2-\epsilon }(U)\) for any \(\epsilon >0\), so \(\psi \in C^{1,1}(U)\cap W^{3,2}(U)\cap W^{4,1}(U)\) (note that since \(\psi \) is independent of \(z_3\), we can reduce these to estimates on \({\mathbb {R}}^4\), and hence the critical exponent for integrability is four). Since
we may easily compute
Similarly, we obtain
For \(1\le j,k\le 2\) satisfying \(j\ne k\), we compute \({\bar{z}}_j\frac{\partial }{\partial {\bar{z}}_j}f_k(z)=-\frac{1}{4}g(z)\). With this in mind, we may compute
For \(1\le j,k\le 2\) satisfying \(j\ne k\), we also have \(\frac{\partial }{\partial {\bar{z}}_j}f_j(z)=\frac{z_j}{|z_1|^2+|z_2|^2}f_k(z)\), so
To build \(\Upsilon \), our basic building block will be a \(2\times 2\) Hermitian matrix M defined almost everywhere on U by
i.e.,
On \(\partial \Omega \), M will be approximately equal to the restriction of \(\Upsilon \) to \(T^{1,0}(\partial \Omega )\otimes T^{0,1}(\partial \Omega )\). For each \(1\le j,k\le 2\), regularity properties of \(\psi \) imply that \(M^{{\bar{k}} j}\in L^\infty (U)\cap W^{1,2}(U)\cap W^{2,1}(U)\). Using symmetry properties of weak derivatives, we have
We now show that both eigenvalues of M lie in \((1/A,1-1/A)\) almost everywhere. Using (7.7) and (7.8) to simplify, we obtain
and
Since M is a \(2\times 2\) matrix, we know that if
almost everywhere on \({\mathbb {C}}^3\), then both eigenvalues of M(z) are either uniformly bounded above or below by \(\lambda \). We may evaluate the sign of
to determine whether \(\lambda \) is an upper bound or a lower bound. Since \(0\le g(z)\le 1\), we may compute
and
to see that each eigenvalue of M(z) is bounded below by \(a-4b>0\) almost everywhere. On the other hand,
and
so each eigenvalue of M(z) is bounded above by \(a+b<1\) almost everywhere. Hence, for any \(A>\max \left\{ \frac{1}{a-4b},\frac{1}{1-a-b}\right\} \), both eigenvalues of M(z) lie in \((1/A,1-1/A)\) almost everywhere. Since these eigenvalues are not continuous, it will be helpful to note that they are uniformly bounded away from \(\frac{1}{A}\) and \(1-\frac{1}{A}\).
We are now ready to define \(\Upsilon \). For \(1\le j,k\le 2\), we define \(\Upsilon ^{{\bar{k}} j}=M^{{\bar{k}} j}\). For \(1\le j\le 2\), we define \(\Upsilon ^{{\bar{3}} j}=-2i\sum _{k=1}^2\frac{\partial \rho _t}{\partial {\bar{z}}_k}M^{{\bar{k}} j}\) and \(\Upsilon ^{{\bar{j}} 3}=\overline{\Upsilon ^{{\bar{3}} j}}\). Finally, we define \(\Upsilon ^{{\bar{3}} 3}=4\sum _{j,k=1}^2\frac{\partial \rho _t}{\partial {\bar{z}}_k}M^{{\bar{k}} j}\frac{\partial \rho _t}{\partial z_j}\). Observe that
so we immediately obtain (2.5).
To estimate the eigenvalues of \(\Upsilon \), we first observe that for \(1\le k\le 2\), \(\frac{\partial \rho _t}{\partial {\bar{z}}_k}\) is a continuous function vanishing at the points of discontinuity for M, so for \(1\le j\le 3\), \(\Upsilon ^{{\bar{3}} j}\) is a continuous function vanishing whenever \(z_1=z_2={{\,\textrm{Im}\,}}z_3=0\). Hence, on a sufficiently small neighborhood of the origin, \(\Upsilon \) is an arbitrarily small perturbation of the matrix
Since \(\Upsilon _0\) has two eigenvalues in the interval \((1/A,1-1/A)\) (uniformly bounded away from the endpoints), we can choose U sufficiently small so that \(\Upsilon \) has two eigenvalues in \((1/A,1-1/A)\) (see Corollary 6.3.4 in [21] for a result on perturbations of eigenvalues that suffices for our purposes). By (7.12), zero is also an eigenvalue of \(\Upsilon \). Since \(\Upsilon \) has only three eigenvalues, we conclude that \(\Upsilon \) has two eigenvalues in \((1/A,1-1/A)\) and one eigenvalue equal to zero, and hence \(\Upsilon \) and \(I-\Upsilon \) are positive semi-definite on U.
It remains for us to show that \(\Upsilon \) has the regularity required to be an element of \({\mathcal {M}}^2_{\Omega ,\eta }(U)\) for all \(0 \le \eta \le 1\). For \(1\le j\le 2\), (7.11) implies \(\Upsilon ^{j}\equiv 0\) almost everywhere. Here, we have used the fact that every coefficient of \({\bar{\partial }}\rho _t\) and M is independent of \(z_3\). For the third entry, we again use (7.11) to compute
We clearly have \(\Upsilon ^j\in L^\infty (U)\) for all \(1\le j\le 3\). For \(z\in {\mathbb {R}}^n\), we set
so that \(\Upsilon ^{3}=2i\mu \) almost everywhere on U. If we can show that \(\mu \in C^{0,1}(U)\), then (4.3) implies \(\Theta _{\Upsilon ,\eta }\in L^\infty (U)\) for any \(0\le \eta \le 1\).
To compute \(\mu (z)\), we first use (7.7), (7.8), and (7.9) to obtain
and
Since
we have the tools to compute
when \(|z_1|^2+|z_2|^2\ne 0\). We have \(\left| \mu (z)\right| \le O(|z_1|^2+|z_2|^2)\), so it is not difficult to check that \(\mu \in C^{1,1}(U)\) which means that \(\Upsilon \in {\mathcal {M}}^2_{\Omega ,\eta }(U)\) for all \(0\le \eta \le 1\).
To complete our proof that \(\Upsilon \) satisfies the hypotheses of Proposition 2.4, we must show that (2.8) holds. By construction we have \(\sum _{j,k=1}^3\Upsilon ^{{\bar{k}} j}\frac{\partial ^2\rho _t}{\partial z_j\partial {\bar{z}}_k}=\mu \), so it will suffice to prove
For \(t>-\frac{1}{2}\), we note that the vertex of the parabola \(y=(5+t)x-(1+2t)x^2\) is located at \(\left( \frac{5+t}{2(1+2t)},\frac{(5+t)^2}{4(1+2t)}\right) \), and \(0<\frac{5+t}{2(1+2t)}<1\) if and only if \(t>1\). For \(t\le -\frac{1}{2}\), this parabola has no local maxima. Hence, for \(0\le x\le 1\), we have \((5+t)x-(1+2t)x^2\le \frac{(5+t)^2}{4(1+2t)}\) when \(t>1\) and \((5+t)x-(1+2t)x^2\le 4-t\) when \(t\le 1\). Replacing x with g(z), we see that (7.13) implies
when \(t>1\) and
when \(t\le 1\).
When \(t<1\), we may set \(a=\frac{1}{2}\) and \(b=0\) (which means that \(\Upsilon \) has smooth coefficients), and (7.3) implies that
so we may choose U sufficiently small so that (7.14) (and hence (2.8)) holds. This means that the hypotheses of Corollary 6.1 are satisfied for any \(A>2\), so we have maximal estimates on (0, 2)-forms.
When \(1\le t<\frac{13+2\sqrt{31}}{9}\), we have \(9t^2-26t+5<0\). Since \(t>\frac{1}{2}\), elementary algebraic manipulations may be used to show that this is equivalent to \(1-t>-4+\frac{(5+t)^2}{4(1+2t)}\). Since \(t\ge 1\), \(-4+\frac{(5+t)^2}{4(1+2t)}<0\), and so we have \((1-t)\left( -4+\frac{(5+t)^2}{4(1+2t)}\right) ^{-1}<1\). If we set \(a=\frac{4}{5}\), then \(\Upsilon \) satisfies our eigenvalue hypothesis whenever \(0\le b<\frac{1}{5}\). Hence, we may choose b satisfying \(\frac{1-t}{5}\left( -4+\frac{(5+t)^2}{4(1+2t)}\right) ^{-1}<b<\frac{1}{5}\). By (7.3), we have
Once again, this allows us to choose U sufficiently small so that (7.14) holds, and hence the hypotheses of Proposition 2.4 are satisfied. As a result, we have maximal estimates on (0, 2)-forms whenever \(t<\frac{13+2\sqrt{31}}{9}\).
We conclude with a proof that (2.2) holds for all \(t\in {\mathbb {R}}\). By Theorem 2.2, we immediately obtain (2.2) whenever \(t<\frac{13+2\sqrt{31}}{9}\). Hence, it will suffice to prove (2.2) when \(t>1\). In this case, we have
so (7.4) implies
Since (7.3) implies that
we may choose \(0<s<\frac{2t-1}{4(1-t)^2}\) and find a neighborhood U of 0 sufficiently small so that
on U. Since this means that \(\det {\mathcal {L}}\le 0\) on U, the Levi-form can have at most one negative and one positive eigenvalue, so (2.2) is equivalent to \(\lambda _2\ge \frac{1}{A}(-\lambda _1+\lambda _2)\) on U. Since the Levi-form is represented by a \(2\times 2\) matrix, the eigenvalues are given by \(\lambda _1=\frac{1}{2}{{\,\textrm{Tr}\,}}{\mathcal {L}}-\frac{1}{2}\sqrt{({{\,\textrm{Tr}\,}}{\mathcal {L}})^2-4\det {\mathcal {L}}}\) and \(\lambda _2=\frac{1}{2}{{\,\textrm{Tr}\,}}{\mathcal {L}}+\frac{1}{2}\sqrt{({{\,\textrm{Tr}\,}}{\mathcal {L}})^2-4\det {\mathcal {L}}}\), so (2.2) is equivalent to
If \({{\,\textrm{Tr}\,}}{\mathcal {L}}\ge 0\), then this holds for all \(A>2\). If \({{\,\textrm{Tr}\,}}{\mathcal {L}}<0\), then we have shown that
on U, so it suffices to prove that \(1\le \left( 1-\frac{2}{A}\right) \sqrt{1+4s}\), and this holds whenever \(A\ge \frac{2\sqrt{1+4s}}{\sqrt{1+4s}-1}\). Hence, (2.2) holds. \(\square \)
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Harrington, P.S., Raich, A. Maximal Estimates for the \({\bar{\partial }}\)-Neumann Problem on Non-pseudoconvex Domains. J Geom Anal 34, 237 (2024). https://doi.org/10.1007/s12220-024-01684-9
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DOI: https://doi.org/10.1007/s12220-024-01684-9