\magnification=\magstep1 \input amstex \documentstyle{amsppt} \baselineskip=20pt \parskip=6pt \hsize=6.5truein \vsize=9truein \NoBlackBoxes \define\bb{\bold{B}} \define\pp{\Bbb{P}} \define\hh{\Bbb{H}} \centerline{\bf On Moments of Negative Eigenvalues for the Pauli Operator} \bigskip \centerline{Zhongwei Shen*\footnote{ Research supported in part by the AMS Centennial Research Fellowship, the MSRI at Berkeley, California, and the NSF grant DMS-9596266.}} \centerline{Department of Mathematics} \centerline{University of Kentucky} \centerline{Lexington, KY 40506} \centerline{E-mail: shenz\@ms.uky.edu} \centerline{Tel: (606) 257-3231} \centerline{Fax: (606) 257-4078} \bigskip \bigskip \centerline{\bf Dedicated to the Memory of Professor Ruilin Long} \bigskip \bigskip \noindent{\bf Abstract.}\ \ This paper concerns the three-dimensional Pauli operator $$ \Bbb{P}=\big( \bold{\sigma} \cdot (\bold{p}-\bold{A}(x))\big)^2 +V(x) $$ with a non-homogeneous magnetic field $\bold{B}=\text{curl\,}\bold{A}$. The following Lieb-Thirring type inequality for the moment of negative eigenvalues is established: $$ \sum_{\lambda_j<0} |\lambda_j| \le C_1 \int_{\Bbb{R}^3}|V(x)|_-^{5/2}dx + C_2\int_{\Bbb{R}^3} [b_p(x)]^{3/2} |V(x)|_-dx $$ where $p>3/2$ and $b_p(x)$ is the $L^p$ average of $|\bb|$ over certain cube centered at $x$ with a side length scaling like $|\bb|^{-1/2}$. We also show that, if $\bb$ has a constant direction, $$ \sum_{\lambda_j<0} |\lambda_j|^\gamma \le C_{1,\gamma} \int_{\Bbb{R}^3}|V(x)|_-^{\gamma+3/2}dx + C_{2,\gamma} \int_{\Bbb{R}^3} b_p(x) |V(x)|_-^{\gamma +1/2}dx $$ where $\gamma>1/2$ and $p>1$. \vfill\eject \centerline{\bf 1. Introduction} Consider the Pauli operator $$ \Bbb{P}=\Bbb{P}_0 +V(x) =\big(\bold{\sigma}\cdot(\bold{p}-\bold{A}(x))\big)^2 +V(x), \tag 1.1 $$ acting on $L^2(\Bbb{R}^3,\Bbb{C}^2)$. Here $\bold{\sigma}=(\sigma_1,\sigma_2,\sigma_3)$ denotes the vector of Pauli matrices, $\bold{p}=-i\nabla$, and $\bold{A}(x)=(A_1(x),A_2(x),A_3(x))\in L^2_{loc}(\Bbb{R}^3,\Bbb{R}^3)$ is a vector potential. We shall use $\bold{B}=\text{curl\,}\bold{A}$ to denote the magnetic field generated by the potential $\bold{A}$. The goal of this paper is to establish the Lieb-Thirring type estimates for the moments of negative eigenvalues of $\Bbb{P}$: $$ \Cal{M}_\gamma=\sum_{\lambda_j<0}|\lambda_j|^\gamma,\ \ \ \ \ \ \gamma >0. \tag 1.2 $$ We remark that in quantum mechanics $\Bbb{P}$ is used to describe the motion of a charged spin-1/2 particle in an electromagnetic field. Lieb-Thirring type estimates are an important tool in the study of stability of matter and in semi-classical analysis \cite{13,10,11,12,2,4,5}. In the case of Schr\"odinger operator $-\Delta +V(x)$ in $\Bbb{R}^n$, the classical Lieb-Thirring inequality \cite{13} states that $$ \Cal{M}_\gamma \le L_{\gamma,n}\int_{\Bbb{R}^n} |V(x)|_-^{\gamma +n/2}dx \tag 1.3 $$ where $\gamma >0$, $n\ge 2$, and $|V|_-=\max (-V,0)$ denotes the negative part of $V$ (in the case $\gamma=0$ and $n\ge 3$, (1.3) is the well-known Rosenblum-Lieb-Cwickel estimate \cite{15}). For the Pauli operator $\Bbb{P}$ in $\Bbb{R}^3$ with a constant field, it was shown in \cite{11} that $$ \Cal{M}_\gamma \le C_{1,\gamma}\int_{\Bbb{R}^3} |V(x)|_-^{\gamma+3/2}dx + C_{2,\gamma}\, |\bold{B}|\int_{\Bbb{R}^3} |V(x)|_-^{\gamma+1/2}dx \tag 1.4 $$ for $\gamma >1/2$. Subsequently, L.~Erd\"os \cite{3} initiated the study of Lieb-Thirring estimates for Pauli operators with non-homogeneous fields. He observed that the direct extension of (1.4) to the case of the non-constant fields: $$ \Cal{M}_\gamma \le C_{1,\gamma}\int_{\Bbb{R}^3} |V(x)|_-^{\gamma+3/2}dx + C_{2,\gamma} \int_{\Bbb{R}^3}|\bold{B}(x)|\, |V(x)|_-^{\gamma+1/2}dx \tag 1.5 $$ as well as its consequence (by H\"older's inequality) $$ \Cal{M}_\gamma \le \widetilde{C}_{1,\gamma}\int_{\Bbb{R}^3} |V(x)|_-^{\gamma+3/2}dx + \widetilde{C}_{2,\gamma} \int_{\Bbb{R}^3}|\bold{B}(x)|^{3/2} |V(x)|_-^{\gamma}dx \tag 1.6 $$ is false without substantial regularity conditions on $\bb$. Moreover he conjectured that it would be necessary to replace $|\bold{B}|$ by some screened version of $|\bold{B}|$. Motivated by Erd\"os' observation, A.~Sobolev \cite{19,20} obtained estimates in the forms of (1.5) and (1.6), but with $|\bold{B}|$ replaced by a so-called effective (scalar) magnetic field $b(x)$: $$ \sum_{\lambda_j<0} |\lambda_j| \le C_1\int_{\Bbb{R}^3} |V(x)|_-^{5/2}dx +C_2\int_{\Bbb{R}^3} b(x)^{3/2} |V(x)|_-dx.\tag 1.7 $$ Roughly speaking, $b(x)$ is a slow varying function which dominates $|\bold{B}(x)|$ pointwise. We remark that the two-dimensional Pauli operator as well as the three-dimensional case with a constant direction field was also investigated in \cite{3,19,20}. Recently, L.~Bugliaro, C.~Fefferman, J.~Fr\"ohlich, G.~Graf, and J.~Stubbe \cite{2} established (1.7) with a $b(x)$ whose energy is comparable to that of $|\bb|$ : \ $\| b\|_{L^2}\approx \|\bb\|_{L^2}$. This in particular implies the following estimate of E.~Lieb, M.~Loss, and J.~Solovej \cite{10}: $$ \Cal{M}_1 \le C_1\int_{\Bbb{R}^3}|V(x)|_-^{5/2}dx + C_2\left(\int_{\Bbb{R}^3}|\bold{B}(x)|^2dx\right)^{3/4} \left(\int_{\Bbb{R}^3}|V(x)|_-^4dx\right)^{1/4}. \tag 1.8 $$ In this paper we further extend the results in \cite {3,19,20,2}. The main novelty of our work is that the effective field $b(x)$ we found is much simple and more natural than the previous ones in \cite{20,2}. Indeed, $b(x)=b_p(x)$ is defined to be the $L^p$ average of $|\bb|$ over a suitable cube centered at $x$ with a side length scaling like $|\bold{B}|^{-1/2}$. We believe that this choice of the effective field is optimal. To state our main results, we first define the basic length scale: $$ \ell_p(x) =\sup\left\{ \ell>0:\ \ell^2\left(\frac{1}{\ell^3}\int_{Q(x,\ell)} |\bb(y)|^pdy\right)^{1/p}\le 1\right\}\tag 1.9 $$ where $Q(x,\ell)$ denotes the cube centered at $x$ with side length $\ell$. It is easy to see that if $|\bb|\in L^p_{loc}(\Bbb{R}^3)$ for some $p>3/2$, then $0<\ell_p(x)<\infty$ unless $|\bb|\equiv 0$. Our effective field is now given by $$ b_p(x)\equiv\frac{1}{\{ \ell_p(x)\}^2} =\left\{\frac{1}{\ell^3_p(x)}\int_{Q(x,\ell_p(x))} |\bb(y)|^pdy\right\}^{1/p}, \tag 1.10 $$ i.e., $b_p(x)$ is the $L^p$ average of $|\bb|$ over the cube centered at $x$ with side length $\ell_p(x)$. In particular, we have $\|b_p\|_{L^q}\le C\|\bold{B}\|_{L^q}$ for any $q\ge p$. \proclaim{\bf Proposition 1.1} Let $p>3/2$. Then, for any $q\ge p$, there exists a constant $C_{p,q}>0$ such that $$ \int_{\Bbb{R}^3} |b_p(x)|^q dx \le C_{p,q}\int_{\Bbb{R}^3} |\bb(x)|^q dx. \tag 1.11 $$ \endproclaim The following are the main results of the paper. \proclaim{\bf Theorem 1.1} Let $p>3/2$ and $\gamma\ge 1$. Then there exist constants $C_1(\gamma,p) >0$ and $C_2 (\gamma, p)>0$ such that $$ \sum_{\lambda_j<0} |\lambda_j|^\gamma \le C_1(\gamma, p)\int_{\Bbb{R}^3}|V(x)|_-^{\gamma +3/2}dx + C_2(\gamma, p)\int_{\Bbb{R}^3} \left[ b_p(x)\right]^{3/2} |V(x)|_-^\gamma dx. $$ \endproclaim We have a stronger estimate for magnetic fields with constant directions. \proclaim{\bf Theorem 1.2} Let $p>1$ and $\gamma>1/2$. Suppose that $\bb$ has a constant direction. Then there exist constants $C_3(\gamma,p) >0$ and $C_4 (\gamma, p)>0$ such that $$ \sum_{\lambda_j<0} |\lambda_j|^\gamma \le C_3(\gamma, p)\int_{\Bbb{R}^3}|V(x)|_-^{\gamma +3/2}dx + C_4(\gamma, p)\int_{\Bbb{R}^3} b_p(x) |V(x)|_-^{\gamma+1/2} dx. $$ \endproclaim A few remarks are in order. \remark{\bf Remark 1.1} The definition of $b_p(x)$ is motivated by the auxiliary function $m(x,|\bb|)$, which is instrumental in the study of eigenvalue problems for the magnetic Schr\"odinger operator $-(\bold{p}-\bold{A}(x))^2 +V(x)$ with certain degenerate potentials \cite{16,17}. We should point out that, although the definition (1.9) is not rotation invariant, the basic length scales $\ell_p(x)$, hence $b_p(x)$, are equivalent in different coordinates systems. One can certainly use balls centered at $x$ instead of cubes in (1.9). We also remark that, if the components of $\bold{B}$ are polynomials, then $$ b_p(x)\approx \sum_{|\alpha|\le k} |\nabla^\alpha \bold{B}(x)|^\frac{2}{|\alpha|+2}\tag 1.12 $$ where $k$ is the degree of $\bb$. \endremark \remark{\bf Remark 1.2} Suppose that $\bold{B}=\bold{B}_1+\bold{B}_2$ where $|\bold{B}_1|\in L^\infty(\Bbb{R}^3)$ and $|\bold{B}_2|\in L^p (\Bbb{R}^3)$ for some $p>3/2$. Let $\ell =\ell_p(x)$, then $$ \ell^2\left(\frac{1}{\ell^3}\int_{Q(x,\ell)}|\bold{B}(y)|^pdy\right)^{1/p}=1. $$ It follows that $$ \ell^2 \|\bold{B}_1\|_{L^\infty} +\ell^{2-3/p}\|\bold{B}_2\|_{L^p}\ge 1. $$ A simple computation yields that $$ b_p(x) =\frac{1}{\ell^2} \le C\big\{ \|\bold{B}_1\|_{L^\infty} +\|\bold{B}_2\|_{L^p}^\frac{2p}{2p-3}\big\}. \tag 1.13 $$ This, together with Theorem 1.1 ($p=2$), gives the estimate in \cite{3, Theorem 2.4, p.635}. Same argument also shows that Theorem 2.1 in \cite{3, p.632} follows from Theorem 1.2. \endremark \remark{\bf Remark 1.3} To compare our results with that in \cite{2}, we note that the effective field in \cite {2} is defined by $\widetilde{b}(x)=1/[r(x)]^2$ where $$ \frac{1}{r(x)} =\int_{\Bbb{R}^3} \varphi\left(\frac{y-x}{r(x)}\right) |\bb(y)|^2dy\tag 1.14 $$ and $\varphi(z)=(1+\frac{1}{2}z^2)^{-2}$. Let $r=r(x)$. It is easy to see that $$ \int_{Q(x,r)}|\bb(y)|^2dy\le \frac{C}{r}. $$ Thus, if $\delta$ is small, we have $$ (\delta r)^2\left\{\frac{1}{(\delta r)^3} \int_{Q(x,\delta r)} |\bb(y)|^2dy\right\}^{1/2} \le C\delta^{1/2}<1. $$ By definition, $\ell_2(x) \ge \delta r$. Hence, $$ b_2(x)=\frac{1}{\{ \ell_2(x)\}^2} \le \frac{1}{(\delta r)^2} =\frac{\widetilde{b}(x)}{\delta ^2}. $$ Thus Theorem 1.1 extends the results in \cite {2}, with an effective field much easier to compute. One may deduce the estimates in \cite{20} from Theorems 1.1 and 1.2 with $p=\infty$ by a similar argument. \endremark \remark{\bf Remark 1.4} In Theorems 1.1 and 1.2, we have implicitly assumed that $\Bbb{P}_0+V$ is a self-adjoint operator. In fact, if the right hand side of the estimate in Theorem 1.1 (or 1.2) is finite, then $\Bbb{P}_0+V$ has a unique self-adjoint realization on $L^2(\Bbb{R}^3,\Bbb{C}^2)$ associated with its quadratic form. Indeed, under the assumption $\bold{A}\in L^2_{loc}(\Bbb{R}^3, \Bbb{R}^3)$, we may define $\Bbb{P}_0$ as the self-adjoint operator associated with the closed quadratic form $\| \Bbb{D}\psi\|_{L^2}^2$ where $\Bbb{D}=\sigma\cdot (\bold{p}-\bold{A})$, i.e., $\Bbb{P}_0 =\Bbb{D}^*\Bbb{D}$. Let $V_j=V\chi_{\{ |V|\le j\} }$. Since $V_j$ is bounded, the operator $\Bbb{P}_0-\frac{1}{\varepsilon}|V_j|$ is self-adjoint with a form core Domain$(\Bbb{D})$ for any $\varepsilon\in (0,1)$. We now apply the variation principle and Theorem 1.1 to $\Bbb{P}_0-\frac{1}{\varepsilon}|V_j|$. We obtain $$ \aligned \int_{\Bbb{R}^3} |\sigma\cdot (\bold{p} & -\bold{A})\psi|^2dx -\frac{1}{\varepsilon}\int_{\Bbb{R}^3} |V_j|\, |\psi|^2dx\\ &\ge \lambda_1(\varepsilon) \int_{\Bbb{R}^3} |\psi|^2dx\ge -C(\delta, \varepsilon, V, \bold{B}) \int_{\Bbb{R}^3}|\psi|^2dx \endaligned $$ for any $\psi\in\text{Domain} (\Bbb{D})$. Thus, $$ \int_{\Bbb{R}^3} |V_j|\, |\psi|^2dx \le \varepsilon\int_{\Bbb{R}^3} |\sigma\cdot (\bold{p} -\bold{A})\psi|^2dx +\varepsilon\, C(\delta, \varepsilon, V, \bold{B}) \int_{\Bbb{R}^3}|\psi|^2dx. $$ Let $j\to \infty$. By Fatou's Lemma, we have $$ \int_{\Bbb{R}^3} |V|\, |\psi|^2dx \le \varepsilon\int_{\Bbb{R}^3} |\sigma\cdot (\bold{p} -\bold{A})\psi|^2dx +\varepsilon\, C(\delta, \varepsilon, V, \bold{B}) \int_{\Bbb{R}^3}|\psi|^2dx $$ for $\psi\in \text{Domain} (\Bbb{D})$. It then follows from the KLMN Theorem \cite{14, p.167} that $\Bbb{P}_0+V$ can be extended to the unique self-adjoint operator associated with its quadratic form. Furthermore, Domain$(\Bbb{D})$ is a form core for $\Bbb{P}_0+V$. \endremark To prove Theorem 1.1, we will compare the Pauli operator $\pp_0$ with the magnetic Schr\"odinger operator $\hh_0 =(\bold{p}-\bold{A})^2$ in an appropriate scale, as in \cite{2,8,19,20}. This is possible since $\pp_0=\hh_0-\sigma\cdot\bb$. To this end, our first step is to localize the operators to cubes $Q$ over which the $L^p$ average of $|\bb|$ is small compare to $\ell(Q)^{-2}$ (the localization error in the kinetic energy), by a Calder\'on--Zygmund decomposition. More precisely, we divide $\Bbb{R}^3$ into a grid of disjoint cubes $\{ Q_j\}$ where each $Q_j$ is a maximal dyadic cube such that $$ \left\{ \int_{12Q_j}|\bb(x)|^pdx\right\}^{1/p} \le \frac{\varepsilon}{[\ell (Q_j)]^{2-\frac{3}{p}}}. \tag 1.15 $$ Here $\ell(Q_j)=\ell_j$ is the side length of $Q_j$, and $12Q_j$ denotes the cube which has the same center as $Q_j$ and side length $12 \ell(Q_j)$. It can be proved that $\ell_j\approx \ell_k$ if $4Q_j\cap 4Q_k \neq \emptyset$. Using this property, we construct a partition of unity for $\Bbb{R}^3$: $\sum_j \phi_j^2(x)\equiv 1 $, with $\phi_j\in C_0^\infty (2Q_j,\Bbb{R})$. Next we apply the Birman-Schwinger principle which reduces the problem to the estimate of singular values of $|V|^{1/2}(\pp_0+\lambda)^{-1/2}$ for $\lambda>0$. We then use the resolvent identity to compare $\phi_j (\pp_0 +\lambda)^{-1}$ with $(\pp_0+\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}\phi_j$ where $\Phi(x)=\sum_j \frac{1}{\ell_j^2}\, \phi_j^2(x) \approx b_p(x) $. We will show that, if $\varepsilon$ in (1.15) is sufficiently small, then $$ \hh_0\le C\left\{ \pp_0+\Phi\right\} \tag 1.16 $$ (Theorem 3.1). With (1.16) at our disposal, we are able to estimate the contribution from $(\pp_0+\Phi+\frac{1}{\ell_j^2} +\lambda)^{-1}\phi_j$. This leads to the first term in Theorem 1.1. Finally, to deal with the error term $ \phi_j (\pp_0 +\lambda)^{-1}- (\pp_0+\Phi+\frac{1}{\ell_j^2}+ \lambda)^{-1}\phi_j $ which can be written as $$ (\pp_0+\Phi+\frac{1}{\ell_j^2}+ \lambda)^{-1} \big\{ \big(\Phi+\frac{1}{\ell_j^2}\big) \phi_j+[\pp_0,\phi_j]\big\} (\pp_0 +\lambda)^{-1}, $$ we use the resolvent identity again to compare $\psi_j (\pp_0+\Phi +\frac{1}{\ell_j^2})^{-1}$ with $(\hh_0+\frac{1}{\ell_j^2})^{-1}\psi_j$ where $\psi_j$ is a bump function such that $\psi_j\phi_j\equiv \phi_j$. The desired result follows from certain regularity estimates for the operator $\psi_j(\pp_0+\Phi +\frac{1}{\ell_j^2})^{-1}$ (see Lemma 4.2). A similar approach is used in the case of constant direction fields. Assuming $\bb=(0,0,B(x_1,x_2))$ without the loss of generality, we construct a partition of unity for $\Bbb{R}^2$ associated with $B$. The inequality $$ \| (-\partial_{x_3}^2 +\lambda)^{1/2} (\pp_0 +\lambda)^{-1/2}\|_{L^2\to L^2} \le 1,\ \ \ \ \ \ \ \ \ \ \lambda>0 \tag 1.17 $$ is used to exploit the fact that $\pp_0$ commutes with $\partial_{x_3}$. The paper is organized as follows. In Section 2 we collect some basic facts that will be used concerning the norm in the Neumann-Schatten classes. Section 2 also contains the proof of Proposition 1.1. The partition of unity will be constructed in Section 3. Section 4 is devoted to the proof of Theorem 1.1. Finally we study the case of constant direction fields in Section 5 where Theorem 1.2 is proved. Throughout this paper we will use $\|\psi\|_{L^p}$ to denote the $L^p$ norm of the function $\psi$. $\| T\|_{L^p\to L^q}$ will denote the operator norm, while $\| T\|_p$ is reserved for the norm in the Neumann-Schatten classes (see (2.1)). Finally we will use $C$ to denote constants, which are not necessarily the same at each occurrence, which may depend on $p$. \bigskip\medskip \centerline{\bf 2. Some Preliminaries} Most materials in this section on the Neumann-Schatten classes can be found in \cite {18}. We include them here for the reader's convenience. The proof of Proposition 1.1 will be given at the end of the section. Let $T$ be a compact operator on $L^2(\Bbb{R}^3,\Bbb{C}^2)$. We will use $n(s,T)$ to denote the number of singular values $\{ s_n(T)\}$ (counting multiplicity) of $T$ greater than $s$ where $s>0$. For $p\ge 1$, let $$ \| T\|_p^p\equiv\sum_n |s_n(T)|^p=p\int_0^\infty s^{p-1}n(s,T)ds. \tag 2.1 $$ The functional $\|T\|_p$ defines a norm on the Neumann-Schatten class $\Cal{S}_p$ which consists of compact operators $T$ with $\|T\|_p<\infty$. The following facts will be useful to us. $$ \align n(s^2, T^*T)&=n(s,T), \tag 2.2\\ \|T\|_p^2&=\|T^* T\|_{p/2},\tag 2.3\\ n(s,T)&\le \frac{\| T\|_p^p}{s^p}.\tag 2.4 \endalign $$ We will also need $$ \align &n(s_1+s_2,T_1+T_2)\le n(s_1,T_1)+n(s_2+T_2), \tag 2.5\\ &\|T_1 T_2\|_p\le \|T_1\|_p \|T_2\|_{L^2\to L^2},\tag 2.6\\ & \|T_1 T_2\|_p\le \| T_1\|_r \|T_2\|_s \ \ \ \ \ \ \ \ \text {if } \ \ \ \frac1p =\frac1r +\frac 1s,\ \ r, \, s\ge 1\tag 2.7 \endalign $$ where $\|T\|_{L^2\to L^2}$ denotes the operator norm of $T$. The proof of the following lemma may be found in \cite{18}. \proclaim{\bf Lemma 2.1} If $f,\ g\in L^p(\Bbb{R}^3)$ with $2\le p<\infty$. Then $$ \| f(x)g(-i\nabla)\|_p\le C_p \| f\|_{L^p} \| g\|_{L^p}. $$ \endproclaim It follows from Lemma 2.1 that, if $p\ge 2$, $\alpha > \frac{3}{2p}$, and $\lambda >0$, $$ \| V (-\Delta +\lambda )^{-\alpha}\|_p \le C_{p, \alpha} \lambda^{\frac{3}{2p}-\alpha}\| V\|_{L^p}. \tag 2.8 $$ Also, by Lemma 2.1, if $\alpha >1/2$ and $0 < \lambda_1\le \lambda_2$, $$ \| V(-\partial _{x_3}^2+\lambda_1)^{-1/2} (-\Delta+\lambda_2)^{-\alpha}\|_2 \le C_\alpha \lambda_1^{-\frac14}\lambda_2^{-\alpha +\frac12}\|V\|_{L^2}. \tag 2.9 $$ Thus, by the diamagnetic inequality \cite{9}, $$ |\big( \hh_0+\lambda\big)^{-\alpha}\psi| \le (-\Delta +\lambda)^{-\alpha}|\psi|, \tag 2.10 $$ where $\hh_0 =(\bold{p}-\bold{A}(x))^2$, and Theorem 2.13 in \cite{18, p.36}, we have $$ \align &\|V( \hh_0+\lambda)^{-\alpha}\|_2 \le C_\alpha \lambda^{\frac34-\alpha} \|V\|_{L^2} \ \ \ \ \text{ for } \alpha >3/4, \tag 2.11\\ & \|V( \hh_0+\lambda)^{-\alpha}\|_4 \le C_\alpha \lambda^{\frac38-\alpha} \|V\|_{L^4} \ \ \ \ \text{ for } \alpha >3/8, \tag 2.12 \endalign $$ and for $\alpha>1/2$ and $0<\lambda_1\le \lambda_2$, $$ \| V(-\partial _{x_3}^2+\lambda_1)^{-1/2} (\hh_0+\lambda_2)^{-\alpha}\|_2 \le C_\alpha \lambda_1^{-\frac14}\lambda_2^{-\alpha +\frac12}\|V\|_{L^2}. \tag 2.13 $$ The following two lemmas concern the operator norm of $V(-\Delta +\lambda)^{-\alpha}$ on $L^2(\Bbb{R}^3, \Bbb{C}^2)$. \proclaim{\bf Lemma 2.2} Let $\alpha >0$ and $\lambda >0$. Then $$ \align & \| V (-\Delta +\lambda)^{-\alpha}\|_{L^2\to L^2} \le C_\alpha \| V\|_{L^\frac{3}{2\alpha}} \ \ \ \ \ \ \ \ \ \text{ if } \ \ \alpha <3/4,\tag 2.14\\ & \| V (-\Delta +\lambda)^{-\alpha}\|_{L^2\to L^2} \le C_\alpha \lambda^{\frac{3}{4}-\alpha} \| V\|_{L^2}\ \ \ \ \text { if } \ \ \alpha >3/4.\tag 2.15 \endalign $$ \endproclaim \demo{\bf Proof} Note that, if $\alpha <3/4$, $$ \|V(-\Delta+\lambda)^{-\alpha}\psi\|_{L^2} \le \|V\|_{L^{p_1}}\| (-\Delta +\lambda )^{-\alpha}\psi \|_{L^{p_2}} \le C_\alpha \|V\|_{L^{p_1}}\|\psi\|_{L^2} $$ where $\frac{1}{p_1}+\frac{1}{p_2}=\frac12$, $\frac{1}{p_2}=\frac12 -\frac{2\alpha}{3}$, and we have used H\"older's inequality and the well-known fractional integral estimate \cite{21}. (2.14) is proved since $p_1=3/(2\alpha)$. Now suppose $\alpha >3/4$. Using the Fourier transform, we have $$ \aligned \|(-\Delta& +\lambda)^{-\alpha}\psi\|_{L^\infty} \le C\int_{\Bbb{R}^3} (|\xi|^2 +\lambda)^{-\alpha} |\hat{\psi}(\xi)|d\xi\\ &\le C \|\psi\|_{L^2} \left\{\int_{\Bbb{R}^3} (|\xi|^2 +\lambda)^{-2\alpha} d\xi\right\}^{1/2} \le C_\alpha \lambda^{\frac34 -\alpha}\|\psi\|_{L^2}. \endaligned \tag 2.16 $$ It follows that $$ \|V(-\Delta+\lambda)^{-\alpha}\psi \|_{L^2} \le \|V\|_{L^2} \| (-\Delta +\lambda)^{-\alpha}\psi \|_{L^\infty} \le C_\alpha \lambda^{\frac34 -\alpha} \|V\|_{L^2} \|\psi\|_{L^2}. $$ \enddemo \proclaim{\bf Lemma 2.3} Let $0<\alpha <1/2$ and $\lambda >0$. Suppose that $V$ depends only on the first two variables. Then $$ \| V (-\Delta +\lambda )^{-\alpha}\|_{L^2\to L^2} \le C_\alpha \| V\|_{L^{1/\alpha}(\Bbb{R}^2)}. $$ \endproclaim \demo{\bf Proof} By the fractional integral estimates \cite{21}, if $\psi\in C^\infty (\Bbb{R}^3,\Bbb{C}^2)$ and decays at $\infty$, $$ \|\psi\|_{L^q(\Bbb{R}^2)} \le C_\alpha \| (-\Delta_2 +\lambda )^\alpha\psi\|_{L^2(\Bbb{R}^2)} $$ where $\frac1q=\frac12 -\alpha$ and $\Delta_2 =\partial_{x_1}^2 +\partial_{x_2}^2$ denotes the Laplacian in $\Bbb{R}^2$. It then follows from H\"older's inequality that $$ \align \|V\psi\|_{L^2(\Bbb{R}^2)} &\le \|V\|_{L^p(\Bbb{R}^2)} \|\psi\|_{L^q(\Bbb{R}^2)}\\ &\le C_\alpha \|V\|_{L^p(\Bbb{R}^2)} \| (-\Delta_2 +\lambda )^\alpha\psi\|_{L^2(\Bbb{R}^2)} \endalign $$ where $\frac1p +\frac1q =\frac12$. Hence $$ \align \int_{\Bbb{R}^3} |V|^2 |\psi|^2dx &\le C_\alpha^2 \|V\|_{L^p(\Bbb{R}^2)}^2 \int_{\Bbb{R}^3} |(-\Delta_2 +\lambda )^\alpha\psi|^2dx\\ &\le C_\alpha^2 \|V\|_{L^p(\Bbb{R}^2)}^2 \int_{\Bbb{R}^3} |(-\Delta +\lambda )^\alpha\psi|^2dx \endalign $$ where the second inequality can be verified through the Fourier transform. Thus $$ \| V\psi \|_{L^2} \le C_\alpha \|V\|_{L^p(\Bbb{R}^2)} \|(-\Delta +\lambda )^\alpha\psi\|_{L^2}. $$ The lemma now follows easily since $\frac1p =\frac12 -\frac1q=\alpha$. \enddemo We end this section with the \demo{\bf Proof of Proposition 1.1} It follows from (1.10) that $b_p(x)\le \{ M(|\bb|^p)(x)\}^{1/p}$ where $M$ is the Hardy-Littlewood maximal operator. This gives the desired estimate in the case $q>p$ since $M$ is bounded on $L^s$ for $s>1$ \cite{21}. For the case $q=p$, we appeal to an argument in \cite{2}. Let $\widetilde{b}_p(x)=1/[r_p(x)]^2$ where $r_p(x)$ is defined by $$ \frac{1}{[r_p(x)]^{2p-3}} =\int_{\Bbb{R}^3} \varphi \left(\frac{x-y}{r_p(x)}\right)|\bb(y)|^pdy \tag 2.17 $$ and $\varphi(z)=[1+\frac12 |z|^2]^{-2}$. Since $b_p(x)\le C\, \widetilde{b}_p(x)$ (see Remark 1.4 for $p=2$), it suffices to show that $$ \int_{\Bbb{R}^3} | \widetilde{b}_p(x)|^pdx \le C\int_{\Bbb{R}^3} |\bb(x)|^pdx. \tag 2.18 $$ Using (2.17) and Fubini's Theorem, one may reduce (2.18) to $$ \int_{\Bbb{R}^3} \varphi \left(\frac{x-y}{r_p(x)}\right) \frac{dx}{[r_p(x)]^3} \le C<\infty. \tag 2.19 $$ The proof of (2.19) relies on the following estimate $$ r_p(y)g_-\left(\frac{|x-y|}{r_p(y)}\right) \le r_p(x) \le r_p(y)g_+\left(\frac{|x-y|}{r_p(y)}\right) \tag 2.20 $$ where $g_+(s)$ and $g_-(s)$ are solutions of the equation $$ s^2=2(t^{p+\frac12}-1)(1-t^{\frac32-p}) \tag 2.21 $$ on $(1,\infty)$ and $(0,1)$ respectively. Since $p>3/2$, it is easy to see that $g_+(s)$, $g_-(s)$ are well defined. We omit the proof of (2.20), which is similar to that of Lemma 2 in \cite{2, p.569}. It is not hard to see that $g_+(s)\approx s^{\frac{4}{2p+1}}$ if $s\ge 1/2$, and $g_-(s)\ge c_0>0$ if $s<1/2$. This, together with (2.20), implies that $$ \alignedat2 &r_p(x)\le C\, [r_p(y)]^{1-\frac{4}{2p+1}} |x-y|^{\frac{4}{2p+1}} \ \ & \text{ if }\ \ |x-y|\ge \frac12 r_p(y),\\ &r_p(x)\ge c \, r_p(y) & \text{ if }\ \ |x-y|<\frac12 r_p(y). \endalignedat $$ It then follows that $$ \aligned &\int_{\Bbb{R}^3} \varphi \left(\frac{x-y}{r_p(x)}\right) \frac{dx}{[r_p(x)]^3} \le \int_{\Bbb{R}^3} \frac{r_p(x)\, dx} {\{ [r_p(x)]^2 +\frac12 |x-y|^2\}^2}\\ &\le 4 \int_{|x-y|\ge \frac12 r_p(y)} \frac{r_p(x)\, dx} {|x-y|^4} + \int_{|x-y|< \frac12 r_p(y)} \frac{dx}{[r_p(x)]^3}\\ &\le C \, \big[r_p(y)\big]^{\frac{2p-3}{2p+1}} \int_{|x-y|\ge \frac12 r_p(y)} \frac{ dx} {|x-y|^{3+\frac{2p-3}{2p+1}}} +\frac{C}{[r_p(y)]^3} \int_{|x-y|< \frac12 r_p(y)} dx\\ &\le C. \endaligned $$ The proof is finished. \enddemo \bigskip \centerline{\bf 3. A Partition of Unity} Throughout this section we fix $p>3/2$. We will assume that $|\bb|\in L^p_{loc}(\Bbb{R}^3)$ and $|\bb|\not\equiv 0$. Let $\varepsilon\in (0,1)$ be a small constant to be determined later. Let $\Cal{A}$ be the set of all dyadic cubes in $\Bbb{R}^3$ such that $$ \left(\int_{12 Q}|\bb(x)|^pdx\right)^{1/p}\le \frac{\varepsilon}{[\ell(Q)]^{2-\frac{3}{p}}} \tag 3.1 $$ where $\ell(Q)$ denotes the side length of $Q$. We say that $Q$ is a maximal element of $\Cal{A}$ if $Q\in\Cal{A}$ and $Q$ is not properly contained in any other cube in $\Cal{A}$. Let $\Cal{B}$ denote the set of all maximal elements of $\Cal{A}$. Clearly, by definition, the interiors of the cubes in $\Cal{B}$ are disjoint. \proclaim{\bf Lemma 3.1} Let $\Cal{B}=\left\{ Q_j,\ j=1,2,\dots\right\}$. Then, $$ \Bbb{R}^3=\bigcup_j Q_j. $$ \endproclaim \demo{\bf Proof} It suffices to show that any point in $\Bbb{R}^3$ belongs to some cube $Q_j$ in $\Cal{B}$. To this end, fix $x\in \Bbb{R}^3$, let $\{ Q_{\alpha_k}\}_{k=-\infty}^\infty$ be an increasing sequence of dyadic cubes such that $x\in Q_{\alpha_k}$ for all $k$, $\ell(Q_{\alpha_k})\to 0$ as $k\to -\infty$, and $\ell(Q_{\alpha_k})\to\infty$ as $k\to\infty$. Note that, as $\ell(Q)\to 0$, the l.h.s. of (3.1) goes to $0$ while the r.h.s. goes to $\infty$. This implies that $Q_{\alpha_k}\in\Cal{A}$ if $\ell(Q_{\alpha_k})$ is small. Also, as $\ell(Q_{\alpha_k})\to\infty$, the l.h.s. of (3.1) goes to $\|\bb\|_{L^p} >0$ and the r.h.s. goes to 0. Thus, $Q_{\alpha_k}\notin\Cal{A}$ if $\ell(Q_{\alpha_k})$ is large. Hence there must be a maximal element $Q_j$ in $\Cal{A}$ (which may not be in $\{ Q_{\alpha_k}\}$) such that $x\in Q_j$. \enddemo \proclaim{\bf Lemma 3.2} Let $Q_j$, $Q_k \in \Cal{B}$. Suppose that $4Q_j\cap 4Q_k\neq\emptyset$. Then $$ \frac{1}{2}\ell(Q_k) \le \ell(Q_j) \le 2\ell(Q_k). $$ \endproclaim \demo{\bf Proof} We adapt an argument found in \cite {8}. Suppose $\ell(Q_j)>2\ell (Q_k)$. Since $\ell(Q_j)$ and $\ell(Q_k)$ are powers of $2$, we have $ \ell(Q_j)\ge 4\ell(Q_k). $ Let $Q_k^+$ be the dyadic parent of $Q_k$, i.e., $Q_k$ can be obtained by bisecting $Q_k^+$. Since $Q_k$ is a maximal element in $\Cal{A}$, $Q_k^+\notin \Cal{A}$. It follows that $$ \left( \int_{12Q_k^+}|\bb|^pdx\right)^{1/p} >\varepsilon \left[\frac{1}{\ell(Q_k^+)}\right]^{2-\frac{3}{p}} =\varepsilon \left[\frac{1}{ 2\ell(Q_k)}\right]^{2-\frac{3}{p}} \ge \varepsilon \left[\frac{2}{\ell(Q_j)}\right]^{2-\frac{3}{p}} \tag 3.2 $$ where we have used $p>3/2$ in the last inequality. We claim that $$ 12Q_k^+\subset 12 Q_j. \tag 3.3 $$ This, together with (3.2), would imply that $$ \left(\int_{12Q_j}|\bb|^pdx\right)^{1/p} \ge \left(\int_{12Q_k^+}|\bb|^pdx\right)^{1/p} > \varepsilon \left[\frac{2}{\ell(Q_j)}\right]^{2-\frac{3}{p}} $$ which contradicts with the assumption that $Q_j\in \Cal{A}$. To see (3.3), let $x_j$ and $x_k$ be the centers of $Q_j$ and $Q_k$ respectively. Since $4Q_j\cap 4Q_k\neq \emptyset$, there exists $z$ such that $$ |z-x_j|_*\le 2\ell(Q_j)\ \ \ \text{ and } \ \ \ |z-x_k|_*\le 2\ell(Q_k) $$ where $|\cdot|_*$ is the norm in $\Bbb{R}^3$ defined by $$ |x|_*=|(a,b,c)|_*=\max \{ |a|,|b|,|c|\}. $$ Thus, $$ |x_j-x_k|_*\le 2\ell(Q_j)+2\ell(Q_k). $$ Now suppose $y\in 12 Q_k^+$. Then $|y-x_k|_* \le |y-x_k^+|_*+ |x_k^+-x_k|_* < 13 \ell(Q_k)$ where $x_k^+\in Q_k$ is the center of $Q_k^+$. It follows that $$ |y-x_j|_*\le |y-x_k|_*+|x_k-x_j|_* < 15\ell(Q_k) +2\ell(Q_j) < 6\ell(Q_j). $$ Hence, $y\in 12 Q_j$. (3.3) is then proved. \enddemo \remark{\bf Remark 3.1} It follows easily from Lemma 3.2 that $\{ 4Q_j: Q_j\in \Cal{B}\}$ has the finite intersection property: $\sum_j \chi_{4Q_j}\le C$ where $C$ is an absolute constant. \endremark We are now in a position to construct the partition of unity associated with the field strength $|\bb|$. \proclaim{\bf Lemma 3.3} There exists a sequence of functions $\{ \phi_j\}$ such that (i)\ \ $\phi_j\in C_0^\infty(2Q_j)$ and $0\le \phi_j\le 1$, (ii)\ \ $|\nabla^\alpha \phi_j(x)|\le c_\alpha/\ell_j^{|\alpha|}$ where $\ell_j=\ell(Q_j)$, (iii)\ \ $\sum_j\phi_j^2\equiv 1$ in $\Bbb{R}^3$. \endproclaim \demo{\bf Proof} Choose $\eta\in C_0^\infty(Q(0,2))$ such that $\eta\equiv1$ in $Q(0,1)$ and $0\le \eta \le 1$. Let $\Cal{B}=\{ Q_j\}_{j=1}^\infty$ and $Q_j=Q(x_j,\ell_j)$. We define $$ \eta_j(x)=\eta\left(\frac{x-x_j}{\ell_j}\right). $$ and $\varphi (x)=\sum_j \eta_j^2(x)$. Clearly, by Lemma 3.1 and Remark 3.1, $1\le \varphi \le C$ where $C$ is an absolute constant, and $\varphi\in C^\infty (\Bbb{R}^3)$. Finally let $\phi_j(x)=\eta_j(x)/\sqrt{\varphi (x)}$. It is easy to check that $\phi_j$ satisfies (i)-(iii). We omit the details. \enddemo Recall that $\ell_j=\ell(Q_j)$ and $Q_j$ is a maximal cube. Define $$ \Phi=\sum_j\frac{1}{\ell_j^2}\, \phi_j^2.\tag 3.4 $$ We will show in Section 4 that $\Phi(x)\approx b_p(x)$ (see Lemma 4.5). \proclaim{\bf Theorem 3.1} There exist constants $C>0$ and $\varepsilon_0>0$ such that, if $0<\varepsilon <\varepsilon_0$, we have $$ \hh_0\le C\big\{ \pp_0+\Phi\big\}. $$ \endproclaim \demo{\bf Proof} We first show that, if $\varepsilon$ in (3.1) is small, then $$ \int_{\Bbb{R}^3} |\, |\bb|^{1/2}\phi_j\psi|^2dx \le C\int_{\Bbb{R}^3} |\sigma\cdot (\bold{p}-\bold{A})(\phi_j\psi)|^2dx\tag 3.5 $$ for any $\psi\in C^\infty_0(\Bbb{R}^3,\Bbb{C}^2)$. To this end, we note that, by H\"older's inequality $$ \left\{\int_{2Q_j}|\bb|^{3/2}dx\right\}^{2/3} \le |2Q_j|^{\frac23-\frac1p} \left\{\int_{2Q_j}|\bb|^p dx\right\}^{1/p} \le 4\varepsilon.\tag 3.6 $$ It then follows from the Sobolev embedding and the inequality $|\nabla |\psi|\,|\le |(\bold{p}-\bold{A})\psi|$ that $$ \aligned \bigg\{ \int_{\Bbb{R}^3} |\, &|\bb|^{1/2}\phi_j\psi|^2dx\bigg\}^{1/2} \le \left\{\int_{2Q_j}|\bb|^{3/2}dx\right\}^{1/3} \left\{\int_{\Bbb{R}^3}|\phi_j\psi|^6dx\right\}^{1/6}\\ &\le C\varepsilon^{1/2} \left\{\int_{\Bbb{R}^3}|\nabla|\phi_j\psi|\,|^2dx\right\}^{1/2}\\ &\le C\varepsilon^{1/2} \left\{\int_{\Bbb{R}^3}|(\bold{p}-\bold{A})(\phi_j\psi)|^2 dx\right\}^{1/2}\\ &\le C\varepsilon^{1/2} \left\{\int_{\Bbb{R}^3}|\sigma\cdot (\bold{p}-\bold{A})(\phi_j\psi)|^2 dx\right\}^{1/2} +C\varepsilon^{1/2} \left\{ \int_{\Bbb{R}^3} |\, |\bb|^{1/2}\phi_j\psi|^2dx\right\}^{1/2} \endaligned $$ where we have used the fact that $\pp_0 =\hh_0 -\sigma\cdot \bb$. This gives (3.5) if $C\varepsilon^{1/2}<1/2$. Next we use Lemma 3.3 and (3.5) to obtain $$ \aligned &\int_{\Bbb{R}^3} |(\bold{p}-\bold{A})\psi|^2dx =\sum_j\int_{\Bbb{R}^3} |\phi_j(\bold{p}-\bold{A})\psi|^2dx\\ & \le 2\sum_j \int_{\Bbb{R}^3} |(\bold{p}-\bold{A})(\phi_j\psi)|^2dx +2\sum_j \int_{\Bbb{R}^3}|\nabla\phi_j|^2|\psi|^2dx\\ &\le 2\sum_j \int_{\Bbb{R}^3} |\sigma\cdot (\bold{p}-\bold{A})(\phi_j\psi)|^2dx +2\sum_j\int_{\Bbb{R}^3} |\, |\bb|^{1/2}\phi_j\psi|^2dx + 2\sum_j \int_{\Bbb{R}^3}|\nabla\phi_j|^2|\psi|^2dx\\ &\le C\sum_j \int_{\Bbb{R}^3} |\sigma\cdot (\bold{p}-\bold{A})(\phi_j\psi)|^2dx +2\sum_j \int_{\Bbb{R}^3}|\nabla\phi_j|^2|\psi|^2dx\\ &\le C\int_{\Bbb{R}^3} |\sigma\cdot (\bold{p}-\bold{A})\psi|^2dx +C\sum_j \frac{1}{\ell_j^2} \int_{2Q_j}|\psi|^2dx. \endaligned $$ Clearly, the theorem follows if we have $$ \sum_j\frac{1}{\ell_j^2}\, \chi_{2Q_j}\le C\, \Phi. \tag 3.7 $$ We claim that (3.7) is an easy consequence of Lemma 3.2. Indeed, if $x\in Q_k$, the l.h.s. of (3.7) is bounded by $$ \sum_{2Q_j\cap Q_k\neq\emptyset} \frac{1}{\ell_j^2} \le \frac{C}{\ell_k^2}\cdot \# \{ Q_j: \ 2Q_j\cap Q_k\neq\emptyset\} \le\frac{C}{\ell_k^2}\le C\, \Phi(x). $$ The proof is now complete. \enddemo It follows easily from Theorem 3.1 that, if $0<\lambda_1\le\lambda_2$, $$ \| (\hh_0+\lambda_1)^{1/2} (\pp_0+\Phi +\lambda_2)^{-1/2}\|_{L^2\to L^2} \le C. \tag 3.8 $$ The following lemma will be used in the next section. \proclaim{\bf Lemma 3.4} There exists a constant $C>0$ such that, for $\lambda>0$, $$ \| (\pp_0+\Phi+\frac{1}{\ell_j^2}+\lambda)^{-1/2}\phi_j (\pp_0+\lambda)^{1/2}\|_{L^2\to L^2}\le C. $$ \endproclaim \demo{\bf Proof} By duality, it suffices to show that $$ \|(\pp_0+\lambda)^{1/2}\phi_j (\pp_0+\Phi+\frac{1}{\ell_j^2}+\lambda)^{-1/2}\|_{L^2\to L^2} \le C. \tag 3.9 $$ To this end, we note that, for any $\psi\in C^\infty_0(\Bbb{R}^3,\Bbb{C}^2)$, $$ \aligned &\int_{\Bbb{R}^3} |(\pp_0+\lambda)^{1/2}\phi_j (\pp_0+\Phi+\frac{1}{\ell_j^2}+\lambda)^{-1/2}\psi|^2dx\\ & = \int_{\Bbb{R}^3}|\sigma\cdot (\bold{p}-\bold{A})\phi_j (\pp_0+\Phi+\frac{1}{\ell_j^2}+\lambda)^{-1/2}\psi|^2dx +\lambda \int_{\Bbb{R}^3} |\phi_j(\pp_0+\Phi+\frac{1}{\ell_j^2}+\lambda)^{-1/2}\psi|^2dx\\ & \le 4\int_{\Bbb{R}^3}|\psi|^2 +2\int_{\Bbb{R}^3} |\nabla \phi_j|^2 |(\pp_0+\Phi+\frac{1}{\ell_j^2}+\lambda)^{-1/2}\psi|^2dx\\ & \le C\int_{\Bbb{R}^3} |\psi|^2dx \endaligned $$ where we have used $|\nabla \phi_j|\le C/\ell_j$ and $$ \align &\| \sigma \cdot (\bold{p}-\bold{A})(\pp_0+\Phi+\lambda)^{-1/2}\|_{L^2 \to L^2}\le 1,\tag 3.10\\ &\|(\pp_0+\Phi+\lambda)^{-1/2}\|_{L^2 \to L^2}\le \frac{1}{\sqrt{\lambda }}. \tag 3.11 \endalign $$ The proof is finished. \enddemo \bigskip \centerline{\bf 4. The Proof of Theorem 1.1} For $\lambda >0$, we denote by $N(\lambda, \Bbb{P}_0+V)$ the number of eigenvalues (counting multiplicity) of $\Bbb{P}_0+V$ smaller than $-\lambda$. Since $V\ge -\lambda -|V+\lambda|_-$, we have $$ N(2\lambda, \Bbb{P}_0+V)\le N(\lambda, \Bbb{P}_0-|V+\lambda|_-). $$ It then follows from the Birman-Schwinger principle and (2.2) that $$ N(2\lambda, \Bbb{P}_0+V) \le n(1,Y(\Bbb{P}_0+\lambda)^{-1}Y ) = n(1,Y(\pp_0+\lambda)^{-1/2}) \tag 4.1 $$ where $Y=|V+\lambda|^{1/2}_-$. As in \cite {19,20}, our approach will be based on the following resolvent identity: $$ \varphi H_1^{-1} =H_2^{-1}\varphi + H_2^{-1} \big\{ (H_2-H_1)\varphi +[H_1,\varphi]\big\} H_1^{-1} \tag 4.2 $$ where $\varphi\in C^\infty_0(\Bbb{R}^3,\Bbb{R})$, $H_1,\, H_2$ are two operators, and $[H_1,\varphi]=H_1\varphi-\varphi H_1$ denotes the commutator between $H_1$ and $\varphi$. Using (4.2), we may write $$ \aligned Y(\pp_0+\lambda)^{-1/2}&=\sum_j Y\phi_j(\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1} \phi_j(\pp_0+\lambda)^{1/2}\\ &\ \ \ \ \ \ +\sum_j Y\phi_j(\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1} (\Phi +\frac{1}{\ell_j^2})\phi_j (\pp_0+\lambda)^{-1/2}\\ &\ \ \ \ \ \ +\sum_jY\phi_j(\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1} [\pp_0,\phi_j](\pp_0+\lambda)^{-1/2}\\ &=I_1 +I_2 +I_3 \endaligned $$ where $\Phi$ is the function defined by (3.4). Thus, by (2.5), $$ n(1, Y(\pp_0+\lambda)^{-1/2}) \le n(1/3, I_1)+n(1/3,I_2)+n(1/3, I_3). \tag 4.3 $$ We begin with the estimate of $n(1/3, I_1)$. \proclaim{\bf Lemma 4.1} There exists a constant $C>0$ such that, for any $\lambda>0$, $$ n(1/3, I_1)\le \frac{C}{\sqrt{\lambda}}\int_{\Bbb{R}^3}|Y|^4 dx. $$ \endproclaim \demo{\bf Proof} First observe that, by (2.4), $$ n(1/3, I_1)\le C\|\sum_j Y\phi_j(\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1} \phi_j(\pp_0+\lambda)^{1/2}\|_4^4. \tag 4.4 $$ Let $$ I_{1j}=Y\phi_j(\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1} \phi_j(\pp_0+\lambda)^{1/2}. \tag 4.5 $$ It follows from (2.6) and Lemma 3.4 that $$ \aligned \|I_{1j}\|_4 &\le \|Y\phi_j(\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1/2} \|_4 \|(\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1/2} \phi_j(\pp_0+\lambda)^{1/2}\|_{L^2\to L^2}\\ &\le C\|Y\phi_j(\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1/2}\|_4\\ &\le C\|Y\phi_j (\hh_0+\lambda)^{-1/2}\|_4 \| (\hh_0+\lambda)^{1/2} (\pp_0+\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1/2}\|_{L^2\to L^2}\\ &\le C\|Y\phi_j (\hh_0+\lambda)^{-1/2}\|_4 \endaligned $$ where we also used (3.8) in the last inequality. We now apply (2.12) with $\alpha =1/2$ to obtain $$ \|I_{1j}\|_4 \le C\lambda^{-1/8}\|Y\phi_j\|_{L^4}. \tag 4.6 $$ Next we note that, by (2.3), $$ \|\sum_jI_{1j}\|_4^4 =\|\sum_j\sum_k\sum_m\sum_n I_{1j} I_{1k}^* I_{1m}I_{1n}^*\|_1 \le \sum_j\sum_k\sum_m\sum_n \|I_{1j} I_{1k}^* I_{1m}I_{1n}^*\|_1. $$ Since $\phi_j$ is supported in $2Q_j$ and $\phi_j (\pp_0+\lambda)^{1/2} (\pp_0+\lambda)^{1/2}\phi_k = \phi_j (\pp_0+\lambda)\phi_k=0$ unless $2Q_j\cap 2Q_k \neq \emptyset$, it is not very hard to see that $$ I_{1j} I_{1k}^* I_{1m}I_{1n}^*=0 $$ unless $$ 2Q_j\cap2Q_k\neq\emptyset,\ \ 2Q_k\cap 2Q_m\neq\emptyset,\ \ \text {and } \ \ 2Q_m\cap 2Q_n\neq \emptyset . \tag 4.7 $$ On the other hand, by Lemma 3.2, if we fix any one of indices $j,k,m,n$, the number of remaining indices which satisfy (4.7) is bounded by an absolute constant. Thus, by (2.7), $$ \aligned n(1/3,I_1) &\le C\|\sum_jI_{1j}\|_4^4 \le C\sum \|I_{1j}\|_4 \|I_{1k}\|_4\|I_{1m}\|_4\|I_{1n}\|_4\\ &\le C\sum \big\{ \|I_{1j}\|_4^4+ \|I_{1k}\|_4^4 +\|I_{1m}\|_4^4 +\|I_{1n}\|_4^4\big\}\\ &\le C\sum_j\|I_{1j}\|^4_4 \endaligned $$ where the second and third sums are over all $(j,k,m,n)$ satisfying (4.7). The lemma now follows from (4.6). \enddemo Using $|Y|\le |V|^{1/2}\chi_{\{ x\in\Bbb{R}^3: V(x) <-\lambda\} }$, we may deduce easily from Lemma 4.1 that $$ \int_0^\infty n(1/3, I_1)\, d\lambda \le C\int_{\Bbb{R}^3} |V(x)|^{5/2}dx. \tag 4.8 $$ Let $\psi_j\in C^\infty_0(3Q_j, \Bbb{R})$ such that $0\le \psi_j\le 1$, $\phi_j\psi_j\equiv \phi_j$ and $ |\nabla^\alpha \psi_j |\le C_\alpha/\ell_j^{|\alpha|}$. We will need the following lemma in the estimates of $n(1/3, I_2)$ and $n(1/3,I_3)$. \proclaim{\bf Lemma 4.2} There exist constants $C>0$ and $\varepsilon_0>0$ such that, if $0<\varepsilon<\varepsilon_0$, $$ \align &\| \, [\pp_0,\psi_j] (\pp_0+\Phi +\frac{1}{\ell_j^2})^{-1} \|_{L^2\to L^2} \le C, \tag 4.9 \\ &\| \psi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\|_{L^2\to L^\infty} \le C \ell_j^{\frac12}, \tag 4.10 \\ & \| (\hh_0 +\frac{1}{\ell_j^2})^{-\frac14 +\delta} (\sigma\cdot \bb)\psi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1} \|_{L^2\to L^2} \le C_\delta \, \ell_j^{\frac12 -2\delta} \tag 4.11 \endalign $$ where $0<\delta <\min\big(1/4, (p-(3/2))/2\big)$. \endproclaim \demo{\bf Proof} To show (4.9), we note that $$ [\pp_0,\psi_j]= \big[\Bbb{D}^*,[\Bbb{D},\psi_j]\big] +[\Bbb{D}^*,\psi_j]\Bbb{D} +[\Bbb{D},\psi_j]\Bbb{D}^* \tag 4.12 $$ where $\pp_0=\Bbb{D}^*\Bbb{D}$ and $\Bbb{D}=\sigma\cdot (\bold{p}-\bold{A})$ ($\pp_0$ is defined as the operator associated with the quadratic form $\|\Bbb{D}\psi\|_{L^2}^2$. We do not need that $\Bbb{D}$ is self-adjoint). Since $$ \align & |\, [\Bbb{D}^*,\psi_j]\psi | +|\, [\Bbb{D},\psi_j]\psi |\le 2|\nabla \psi_j|\, |\psi| \le \frac{C}{\ell_j}|\psi|, \tag 4.13 \\ & |\, \big[\Bbb{D}^*,[\Bbb{D},\psi_j]\big]\psi|\le |\nabla^2\psi_j|\, |\psi | \le \frac{C}{\ell_j^2}|\psi|, \tag 4.14 \endalign $$ we have $$ \|\, [\pp_0,\psi_j] (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi\|_{L^2} \le C\| \psi\|_{L^2}. \tag 4.15 $$ where we also used (3.10)--(3.11), $\Bbb{D}^* =\Bbb{D}$ on the domain of $\Bbb{D}$, and $\|(\pp_0+\Phi +\lambda)^{-1}\|_{L^2\to L^2} \le \lambda^{-1}$. To prove (4.10), we use the resolvent identity (4.2) and $\pp_0 =\hh_0 -\sigma\cdot \bb$ to write $$ \aligned &\psi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}= (\hh_0+\frac{1}{\ell_j^2})^{-1}\psi_j\\ &\ \ \ \ \ \ +(\hh_0+\frac{1}{\ell_j^2})^{-1} \big\{ (\sigma\cdot\bb -\Phi)\psi_j +[\pp_0,\psi_j]\big\} (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}. \endaligned \tag 4.16 $$ Hence, by the diamagnetic inequality (2.10) and (2.16), we get $$ \aligned &|\psi_j(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi|\\ &\le (-\Delta +\frac{1}{\ell_j^2})^{-1} |\psi_j\psi| +(-\Delta +\frac{1}{\ell_j^2})^{-1}|\bb| \psi_j |(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi|\\ & \ \ \ \ \ \ \ +(-\Delta +\frac{1}{\ell_j^2})^{-1} \big| (-\Phi\psi_j +[\pp_0, \psi_j]) (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi\big|\\ & \le C\ell_j^{\frac12}\|\psi\|_{L^2} +C\ell_j^{2\delta} \| (-\Delta +\frac{1}{\ell_j^2})^{\delta-\frac14} |\bb|\psi_j |(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi|\, \|_{L^2} \endaligned \tag 4.17 $$ where $0<\delta <\min\big(1/4, (p-(3/2))/2\big)$ and we also used (4.15) in the second inequality. To deal with the second term in r.h.s. of (4.17), we apply (2.14) to obtain $$ \aligned &\| (-\Delta +\frac{1}{\ell_j^2})^{\delta-\frac14} |\bb|\psi_j |(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi|\, \|_{L^2}\\ &\le \|(-\Delta +\frac{1}{\ell_j^2})^{\delta-\frac14} |\bb|^{-\delta +\frac14}\chi_{3Q_j}\|_{L^2\to L^2} \|\, |\bb|^{\delta +\frac34}\psi_j |(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi|\, \|_{L^2}\\ &\le C \| \, |\bb|^{-\delta +\frac14}\|_{L^{\frac{6}{1-4\delta}}(3Q_j)} \|\, |\bb|^{\delta +\frac34}\|_{L^2(3Q_j)} \|\psi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi \|_{L^\infty}\\ &\le C\ell_j^{2-2\delta-\frac{3}{p}} \left\{ \int_{3Q_j} |\bb|^pdx\right\}^{1/p} \| \psi_j(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi \|_{L^\infty}\\ &\le C\ell_j^{-2\delta}\varepsilon \|\psi_j(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\psi\|_{L^\infty} \endaligned \tag 4.18 $$ where we also used H\"older's inequality, $(3/2)+2\delta
3/2$,
we may deduce that the function is in $L^q$ for any $q<\infty$.
It then follows that it is in $L^\infty$ by the same argument.
Finally
(4.11) follows from (4.18) and (4.10).
\enddemo
We now are ready to estimate $n(1/3, I_2)$ and $n(1/3, I_3)$.
\proclaim {\bf Lemma 4.3} There exists a constant $C>0$ such that
$$
\int_0^\infty n(1/3,I_2)\, d\lambda
\le
C\int_{\Bbb{R}^3}|V(x)|^{5/2}dx
+C\int_{\Bbb{R}^3} \Phi(x)^{3/2} |V(x)|\, dx.
$$
\endproclaim
\demo{\bf Proof}
We first note that, since $\| (\pp_0+\lambda)^{-1/2}\|_{L^2\to L^2}
\le 1/\sqrt{\lambda}$,
$$
\align
n(1/3,I_2)
&=n\big
(1/3,\sum_j Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
(\Phi+\frac{1}{\ell_j^2})
\phi_j (\pp_0 +\lambda)^{-1/2}\big)\\
&\le n\big(\sqrt{\lambda}/3,
\sum_j Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
(\Phi+\frac{1}{\ell_j^2})
\phi_j\big)\\
&\le
n\big(\sqrt{\lambda}/6,
\sum_j Y\phi_j \big\{ (\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
-(\pp_0 +\Phi +\frac{1}{\ell_j^2} )^{-1}\big\}
(\Phi+\frac{1}{\ell_j^2})
\phi_j\big)\\
&\ \ \ \ \ \ +
n\big(\sqrt{\lambda}/6,
\sum_j Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
(\Phi+\frac{1}{\ell_j^2})
\phi_j\big)\\
&
=K_1+K_2.
\endalign
$$
Using
$$
(\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
-(\pp_0 +\Phi +\frac{1}{\ell_j^2} )^{-1}
=-\lambda
(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
(\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
$$
and (2.4),
we have
$$
\aligned
K_1
&=n\big(\sqrt{\lambda}/6,
\sum_j Y\phi_j \lambda
(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
(\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
(\Phi+\frac{1}{\ell_j^2})
\phi_j\big)\\
&\le
C{\lambda^2}
\|
\sum_j Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
(\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
(\Phi+\frac{1}{\ell_j^2})
\phi_j\|_4^4\\
&\le C\lambda^2
\sum_j
\| Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
(\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
(\Phi+\frac{1}{\ell_j^2})
\phi_j\|_4^4\\
&\le C\lambda^2
\sum_j
\| Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
(\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
\phi_j\|_4^4\cdot\frac{1}{\ell_j^8}
\endaligned
$$
where we have used the finite intersection property of the supports of
$\phi_j$ as in the proof of Lemma 4.1.
We now use (2.6) and
the $(L^2, L^2)$ bound of $(\pp_0 +\Phi +\frac{1}{\ell_j^2}
+\lambda)^{-\alpha}$ ($\alpha =1, 1/2$) to obtain
$$
\align
\| Y\phi_j (\pp_0 &+\Phi +\frac{1}{\ell_j^2})^{-1}
(\pp_0 +\Phi +\frac{1}{\ell_j^2} +\lambda)^{-1}
\phi_j\|_4\\
&\le
\| Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\|_4
\cdot\frac{1}{\lambda +\frac{1}{\ell_j^2}}\\
&\le
\| Y\phi_j (\pp_0 +\Phi+\frac{1}{\ell_j^2})^{-1/2}\|_4
\cdot\frac{\ell_j}{\lambda +\frac{1}{\ell_j^2}}\\
&\le
\|Y\phi_j (\hh_0 +\frac{1}{\ell_j^2})^{-1/2}\|_4
\| (\hh_0 +\frac{1}{\ell_j^2})^{1/2}
(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1/2}\|_{L^2\to L^2}
\cdot\frac{\ell_j}{\lambda +\frac{1}{\ell_j^2}}\\
&\le
C\|Y\phi_j (\hh_0 +\frac{1}{\ell_j^2})^{-1/2}\|_4
\cdot\frac{\ell_j}{\lambda +\frac{1}{\ell_j^2}}\\
&\le C\|Y\phi_j\|_{L^4}
\cdot\frac{\ell_j^2}{\lambda^{5/8}}
\endalign
$$
where we also used (3.8) and (2.12)
in the last two inequality. It then follows that
$$
K_1\le \frac{C}{\sqrt{\lambda}}
\sum_j \int_{\Bbb{R}^3}
|Y\phi_j|^4dx
\le \frac{C}{\sqrt{\lambda}}\int_{\{x\in \Bbb{R}^3:V(x)< -\lambda\} } |V|^2dx.
\tag 4.20
$$
It remains to estimate $K_2$.
Since $Y\le |V|^{1/2}$, we have
$$
K_2
\le n\big(\sqrt{\lambda}/6, \sum_j
|V|^{1/2}\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
(\Phi+\frac{1}{\ell_j^2})\phi_j\big).
$$
It follows that
$$
\aligned
\int_0^\infty K_2\, d\lambda
&\le
C\| \sum_j
|V|^{1/2}\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
(\Phi+\frac{1}{\ell_j^2})\phi_j\|_2^2\\
&\le C\sum_j
\|\,
|V|^{1/2}\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
\phi_j\|_2^2\cdot\frac{1}{\ell_j^4}.
\endaligned
\tag 4.21
$$
Using $\phi_j\psi_j\equiv \phi_j$, (4.16), and (4.9), we have
$$
\align
&\|\,
|V|^{1/2}\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}
\phi_j\|_2\\
&
\le
\|\, |V|^{1/2}\phi_j (\hh_0+\frac{1}{\ell_j^2})^{-1} \phi_j\|_2
+\|\, |V|^{1/2}\phi_j (\hh_0+\frac{1}{\ell_j^2})^{-1}
(\sigma\cdot \bb)\psi_j
(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\phi_j\|_2\\
&
+\|\,
|V|^{1/2}\phi_j (\hh_0+\frac{1}{\ell_j^2})^{-1}
(-\Phi\psi_j +[\pp_0,\psi_j])
(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\phi_j\|_2\\
&\le C
\|\, |V|^{1/2}\phi_j (\hh_0+\frac{1}{\ell_j^2})^{-1}\|_2\\
&\ \ \ \
+
\|\, |V|^{1/2}\phi_j (\hh_0+\frac{1}{\ell_j^2})^{-\frac34 -\delta} \|_2
\|(\hh_0+\frac{1}{\ell_j^2})^{-\frac14+\delta}
(\sigma\cdot \bb)\psi_j
(\pp_0 +\Phi +\frac{1}{\ell_j^2})^{-1}\phi_j\|_{L^2\to L^2}\\
&\le
C \|\, |V|^{1/2}\phi_j (\hh_0+\frac{1}{\ell_j^2})^{-1}\|_2
+C\ell_j^{\frac12-2\delta}
\|\, |V|^{1/2}\phi_j (\hh_0+\frac{1}{\ell_j^2})^{-\frac34 -\delta}
\|_2\\
&\le C\ell_j^{\frac12}\|\, |V|^{1/2}\phi_j\|_{L^2}
\endalign
$$
where we also used (4.11) in the third and (2.11)
in the last inequality.
Inserting the estimate above
into the r.h.s. of (4.21), we obtain
$$
\int_0^\infty
K_2 \, d\lambda
\le
C\sum_j
\frac{1}{\ell_j^3}
\int_{\Bbb{R}^3} |V|\, \phi_j^2\, dx
\le C\int_{\Bbb{R}^3} \Phi(x)^{3/2} |V(x)|dx.
$$
This, together with (4.20), gives the desired estimate.
\enddemo
\proclaim{\bf Lemma 4.4}
There exists a constant $C>0$ such that
$$
\int_0^\infty n(1/3, I_3)\, d\lambda
\le C\int_{\Bbb{R}^3} |V(x)|^{5/2}dx
+\int_{\Bbb{R}^3} \Phi(x)^{3/2}
|V(x)|dx.
$$
\endproclaim
\demo{\bf Proof}
It follows from (2.5) and (4.12) that
$$
\aligned
&n(1/3, I_3)
=n\big(1/3,
\sum_j Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\pp_0,\phi_j](\pp_0+\lambda)^{-1/2}\big)\\
&\le
n\big(1/6,
\sum_j Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\Bbb{D}^*, [\Bbb{D},\phi_j]](\pp_0 +\lambda)^{-1/2}\big)\\
&\ \ \ \ \ +
n\big(1/6,
2\sum_j Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1}
\left\{ [\Bbb{D}^*, \phi_j] \Bbb{D}
+[\Bbb{D}, \phi_j] \Bbb{D}^*\right\}
(\pp_0 +\lambda)^{-1/2}\big)
\endaligned
\tag 4.22
$$
where $\Bbb{D}=\sigma\cdot (\bold{p}-\bold{A})$.
Since
$|\big[\Bbb{D}^*, [\Bbb{D},\phi_j]\big]\psi|\le |\nabla^2 \phi_j|\, |\psi|$,
the first term on the r.h.s. of (4.22)
can be treated exactly as $n(1/3, I_2)$.
With $\| \Bbb{D} (\pp_0 +\lambda )^{-1/2}\|_{L^2\to L^2}\le 1$
and $\| \Bbb{D}^* (\pp_0 +\lambda )^{-1/2}\|_{L^2\to L^2}\le 1$, we may
use the same argument as in the proof of Lemma 4.1 to
bound the second term by
$$
\aligned
C\|
\sum_j Y\phi_j (\pp_0 +\Phi & +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\Bbb{D}, \phi_j]\|_4^4
+C\|
\sum_j Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\Bbb{D}^*, \phi_j]\|_4^4\\
&\le
C\sum_j \|Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1}\|_4^4
\cdot\frac{1}{\ell_j^4}\\
&
\le C\sum_j
\|Y\phi_j (\pp_0 +\Phi +\frac{1}{\ell_j^2}+\lambda)^{-1/2}\|_4^4\\
&\le C\sum_j
\|Y\phi_j (\hh_0+\lambda)^{-1/2}\|_4^4\\
&\le\frac{C}{\sqrt{\lambda}}
\int_{\{ x\in \Bbb{R}^3:V(x)< -\lambda\} }
|V|^2dx.
\endaligned
$$
The lemma then follows by integration.
\enddemo
We need one more lemma before we carry out the proof of Theorem 1.1.
\proclaim{\bf Lemma 4.5}
There exist two constants $C_1>0$, $C_2>0$
depending on $\varepsilon$ and
$p$, such that, for every $x\in \Bbb{R}^3$,
$$
C_1 \Phi (x)\le b_p(x)\le C_2 \Phi(x).
$$
\endproclaim
\demo{\bf Proof}
Suppose $x\in Q_j$ for some $j$. Then $\Phi (x)\approx 1/\ell_j^2$.
Let $\delta\in (0,1)$ and $\ell_j=\ell(Q_j)$.
Since $Q(x,\delta \ell_j)\subset 12 Q_j$, we have
$$
\align
(\delta \ell_j)^2 \bigg(\frac{1}{(\delta\ell_j)^3}
\int_{Q(x,\delta \ell_j)}&
|\bb(y)|^pdy\bigg)^{1/p}
= (\delta \ell_j)^{2-\frac{3}{p}}
\left(\int_{Q(x,\delta \ell_j)}
|\bb(y)|^pdy\right)^{1/p}\\
&\le
(\delta \ell_j)^{2-\frac{3}{p}}
\left(\int_{12 Q_j}
|\bb(y)|^pdy\right)^{1/p}\\
&\le
(\delta \ell_j)^{2-\frac{3}{p}}
\cdot
\frac{\varepsilon}{\ell_j^{2-\frac{3}{p}}}
=\delta^{2-\frac{3}{p}}
\varepsilon <1.
\endalign
$$
Hence, by the definition of $\ell_p(x)$ (see (1.9)), we have
$\ell_p(x)\ge \ell_j$. It follows that
$$
b_p(x)=\frac{1}{\{ \ell_p(x)\}^2 }
\le\frac{1}{\ell_j^2}\le C_2 \Phi (x).
$$
To show $b_p(x)\ge C_1 \Phi(x)$, we note that, if $N$ is large,
$12 Q_j^+\subset Q(x,N\ell_j)$ where $Q_j^+$ is the dyadic
parent of $Q_j$. Hence
$$
\align
(N\ell_j)^2
\bigg(\frac{1}{(N\ell_j)^3}
\int_{Q(x,N\ell_j)}&
|\bb(y)|^pdy\bigg)^{1/p}
=
(N\ell_j)^{2-\frac{3}{p}}
\left(
\int_{Q(x,N\ell_j)}
|\bb(y)|^pdy\right)^{1/p}\\
&\ge
(N\ell_j)^{2-\frac{3}{p}}
\left(
\int_{12 Q_j^+}
|\bb(y)|^pdy\right)^{1/p}\\
&>
(N\ell_j)^{2-\frac{3}{p}}\cdot \frac{\varepsilon}
{(2\ell_j)^{2-\frac{3}{p}}}
=\varepsilon
\left(\frac{N}{2}\right)^{2-\frac{3}{p}}
>1
\endalign
$$
if $N$ is large enough. Again, by definition,
this implies that $\ell_p(x)\le N\ell_j$. Therefore
$$
b_p(x)=\frac{1}{\{\ell_p(x)\}^2 }
\ge \frac{1}{N^2\ell_j^2}
\ge C_1 \Phi (x).
$$
\enddemo
Finally we are in a position to give the
\demo{\bf Proof of Theorem 1.1}
It suffices to prove the theorem for $\gamma=1$ (see \cite{20}).
We may also assume, without the loss of generality, that $V\le 0$ a.e..
By means of (4.1) and (4.3), we have
$$
\align
\Cal{M}_1&=\sum_{\lambda_j<0} |\lambda_j|
=2\int_0^\infty N(2\lambda, \pp_0+V)\, d\lambda\\
&\le 2\int_0^\infty n(1, Y(\pp_0+\lambda)^{-1/2})\, d\lambda\\
&\le 2\sum_{j=1}^3
\int_0^\infty
n(1/3, I_j)\, d \lambda.
\endalign
$$
The theorem now follows from (4.8) and Lemmas 4.3--4.5.
\enddemo
\bigskip
\centerline{\bf 5. Fields with Constant Directions}
In this section we study the special case where the magnetic
field $\bb$ has a constant direction. The goal is to prove
Theorem 1.2 stated in the Introduction.
Without the loss of generality, we may assume that
$\bold{A}=(A_1(x_1,x_2), A_2(x_1,x_2),0)$
and $\bb=(0,0,B)$ where $B=\frac{\partial A_2}{\partial x_1}
-\frac{\partial A_1}{\partial x_2}$.
With this assumption, we have the following identity:
$$
\int_{\Bbb{R}^3}
|\sigma\cdot (\bold{p}-\bold{A})\psi|^2dx
=\int_{\Bbb{R}^3}
| [\sigma_1(p_1-A_1)+\sigma_2(p_2-A_2)]\psi|^2dx
+\int_{\Bbb{R}^3}
|\frac{\partial \psi}{\partial x_3}|^2dx.
$$
This in particular implies that, for $\lambda>0$,
$$
\| (-\partial_{x_3}^2 +\lambda)^{1/2}
(\pp+\lambda)^{-1/2}\|_{L^2\to L^2}\le 1.
\tag 5.1
$$
We shall use $x^\prime =(x_1,x_2)$, $y^\prime=(y_1,y_2)$
to denote points in $\Bbb{R}^2$.
Our approach to the case of constant direction fields is
similar to that in Section 4
for arbitrary fields.
We begin by observing that, if $\bb=(0,0,B(x^\prime))$,
the basic length scale $\ell_p(x)$ defined by (1.9) is reduced
to
$$
\ell_p(x^\prime)
=\sup \left\{
\ell>0:\ \
\ell^2
\left\{ \frac{1}{\ell^2}\int_{S(x^\prime,\ell)}
|B(y^\prime)|^p dy^\prime\right\}^{1/p}\le 1 \right\}
\tag 5.2
$$
where $S(x^\prime,\ell)$ denotes the square in $\Bbb{R}^2$
centered at $x^\prime$ with side length $\ell$.
We will assume that $B\not\equiv 0$ and
$B\in L^p_{loc}(\Bbb{R}^2)$ for some $p>1$.
With this we have $0<\ell_p(x^\prime)<\infty$
for any $x^\prime\in \Bbb{R}^2$.
We now sketch the construction of the partition of unity for
$\Bbb{R}^2$ associated with $B$, which is parallel
to that in Section 3.
First we write
$$
\Bbb{R}^2
=\bigcup_j S_j
\tag 5.3
$$
where $\{ S_j\}_{j=1}^\infty$ are maximal elements
in the set of all dyadic squares $S$ in $\Bbb{R}^2$ such that
$$
\left\{
\int_{12 S} |B(x^\prime)|^pd x^\prime\right\}^{1/p}
\le
\frac{\varepsilon}
{[\ell(S)]^{2-\frac{2}{p}}}
\tag 5.4
$$
where $\varepsilon\in (0,1)$ is a constant to be determined later.
Next we use the same argument as in the proof of Lemma 3.2
to show that,
$$
\frac12\ell(S_k)
\le \ell(S_j)
\le 2\ell(S_k),
\ \ \ \ \text{ if }
\ \ 4S_j\cap 4S_k\neq\emptyset.
\tag 5.5
$$
It follows from (5.5) that there exists a sequence of functions
$\{ \varphi_j\}$ such that
$$
\align
&\varphi_j\in C_0^\infty (2S_j, \Bbb{R})\ \ \ \text{ and }\ \
0\le \varphi_j\le 1,
\tag 5.6\\
& |\nabla^\alpha \varphi_j|\le C_\alpha/\ell_j^{|\alpha|}
\ \ \ \text{ where }\ \ \ell_j=\ell(S_j),
\tag 5.7\\
& \sum_j\varphi_j^2\equiv 1\ \ \ \text{ in } \ \Bbb{R}^2.
\tag 5.8
\endalign
$$
Let
$$
\Psi =\sum_j\frac{1}{\ell_j^2}\, \varphi_j^2.
\tag 5.9
$$
\proclaim{\bf Theorem 5.1}
There exist constants $C>0$ and $\varepsilon_0>0$ such that,
if $\varepsilon$ in (5.4) is less than $\varepsilon_0$, then
$$
\hh_0\le C\left\{ \pp_0 +\Psi\right\}.
$$
\endproclaim
\demo{\bf Proof}
We will only show that, if $\varepsilon$ in (5.4) is small,
then
$$
\int_{\Bbb{R}^3}
|\, |B|^{1/2} \varphi_j\psi|^2dx
\le C\int_{\Bbb{R}^3}
|\sigma\cdot (\bold{p}-\bold{A})(\varphi_j\psi)|^2dx
\tag 5.10
$$
for any $\psi\in C^\infty_0(\Bbb{R}^3,\Bbb{C}^2)$.
The rest of the proof is exactly the same as that of Theorem 3.1.
To show (5.10), we need the following Sobolev inequality
$$
\left(\int_S |f|^qdx^\prime\right)^{1/q}
\le C_q |S|^{1/q}
\left( \int_S |\nabla_2 f|^2dx^\prime\right)^{1/2}
\tag 5.11
$$
for $f\in C_0^\infty (S,\Bbb{R})$ where $S$ is a square, $\nabla_2
=(\partial_{x_1},\partial_{x_2})$, and $10$ such that, for any $\lambda>0$,
$$
n(1/3, J_1)
\le \frac{C}{\sqrt{\lambda}}
\int_{\{ x\in \Bbb{R}^3: V(x)<-\lambda\} }
|V(x)|^2dx.
$$
\endproclaim
The proof of Lemma 5.1, which uses (5.12)--(5.13) and (2.12),
is similar to that of Lemma 4.1.
We leave it to the reader.
Let $\xi_j\in C_0^\infty (3S_j,\Bbb{R})$ such that
$0\le \xi_j\le 1$, $\xi_j\varphi_j\equiv \varphi_j$,
and $|\nabla^\alpha\xi_j|\le C_\alpha/\ell_j^{|\alpha|}$.
The following lemma is needed to estimate $n(1/3,J_2)$
and $n(1/3,J_3)$.
\proclaim{\bf Lemma 5.2}
Let $0<\delta \le \frac12 (1-\frac1p)$. There exists a constant
$C_\delta>0$ such that, for any $\lambda >0$,
$$
\| (\hh_0 +\frac{1}{\ell_j^2} +\lambda)^{-\frac12 +\delta}
(\sigma\cdot \bb)\xi_j
(\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
\|_{L^2\to L^2}
\le C_\delta \, \ell_j^{1-2\delta}.
$$
\endproclaim
\demo{\bf Proof}
Note that, by (5.12),
$$
\aligned
\| (\hh_0 +&\frac{1}{\ell_j^2} +\lambda)^{-\frac12 +\delta}
(\sigma\cdot \bb)\xi_j
(\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
\|_{L^2\to L^2}\\
&\le
\| (\hh_0 +\frac{1}{\ell_j^2} +\lambda)^{-\frac12 +\delta}
(\sigma\cdot \bb)\xi_j
(\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1/2}
\|_{L^2\to L^2}\cdot \ell_j\\
&\le
\| (\hh_0 +\frac{1}{\ell_j^2} +\lambda)^{-\frac12 +\delta}
(\sigma\cdot \bb)\xi_j
(\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-1/2}
\|_{L^2\to L^2}\\
&\ \ \ \ \ \ \ \ \ \ \ \ \ \cdot
\|(\hh_0+\frac{1}{\ell_j^2}+\lambda)^{1/2}
(\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1/2}
\|_{L^2\to L^2}\cdot \ell_j\\
&\le
C\ell_j
\| (\hh_0 +\frac{1}{\ell_j^2} +\lambda)^{-\frac12 +\delta}
(\sigma\cdot \bb)\xi_j
(\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-\frac12}
\|_{L^2\to L^2}\\
&\le
C\ell_j^{1+2\delta}
\| (\hh_0 +\frac{1}{\ell_j^2} +\lambda)^{-\frac12 +\delta}
(\sigma\cdot \bb)\xi_j
(\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-\frac12 +\delta}
\|_{L^2\to L^2}.
\endaligned
$$
Thus, by the diamagnetic inequality (2.10) and duality,
it suffices to show that
$$
\|\, |B|^{1/2}\chi_{3S_j}
(-\Delta +\frac{1}{\ell_j^2}
+\lambda )^{-\frac12 +\delta}
\|_{L^2\to L^2}
\le C_\delta\, \ell_j^{-2\delta}.
\tag 5.15
$$
We claim that (5.15) follows from Lemma 2.3. Indeed,
by Lemma 2.3, the l.h.s. of (5.15) is bounded by
$$
C_\delta \, \|\, |B|^{1/2}\|_{L^{\frac{2}{1-2\delta}}(3S_j)}
\le C_\delta \ell_j^{-2\delta}
$$
where we used $p\ge 1/(1-2\delta)$, H\"older's inequality, and
(5.4) in the inequality.
The proof is complete.
\enddemo
We are now ready to deal with $n(1/3,J_2)$ and
$n(1/3,J_3)$.
\proclaim{\bf Lemma 5.3}
There exists a constant $C>0$ such that
$$
n(1/3, J_2)
\le \frac{C}{\sqrt{\lambda}}
\int_{\{ x\in\Bbb{R}^3: V(x)<-\lambda\} }
\Psi (x) |V(x)|dx.
$$
\endproclaim
\demo{\bf Proof}
First we note that, by (2.4), (2.6), and (5.1),
$$
\aligned
n(1/3, J_2)
&=n\big(1/3,
\sum_j Y\varphi_j (\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1} (\Psi +\frac{1}{\ell_j^2})\varphi_j
(\pp_0+\lambda)^{-1/2}\big)\\
&\le C
\| \sum_j Y\varphi_j (\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1} (\Psi +\frac{1}{\ell_j^2})\varphi_j (\pp_0+\lambda)^{-1/2}
\|_2^2\\
&\le C
\|
\sum_j Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
(\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1} (\Psi +\frac{1}{\ell_j^2})\varphi_j
\|_2^2\\
&\ \ \ \ \ \ \ \ \cdot
\| (-\partial_{x_3}^2+\lambda)^{1/2} (\pp_0+\lambda)^{-1/2}\|^2_{L^2\to L^2}\\
&\le C
\|\sum_j Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
(\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1} (\Psi +\frac{1}{\ell_j^2})\varphi_j
\|_2^2\\
&\le C
\sum_j \|Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
(\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1} (\Psi +\frac{1}{\ell_j^2})\varphi_j
\|_2^2\\
&\le C
\sum_j \|Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
(\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}\varphi_j
\|_2^2\cdot\frac{1}{\ell_j^4}
\endaligned
$$
where we used the finite intersection property of supp$\varphi_j$ in
the fourth inequality. The fact that $\pp_0+\Psi$ commutes with
$\partial_{x_3}$ is essential in the estimate above.
Next we use the resolvent identity (4.2) to obtain
$$
\aligned
&\|Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
(\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}\varphi_j
\|_2\\
&=
\|Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
\xi_j(\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}\varphi_j
\|_2\\
&\le
\|Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
(\hh_0+\frac{1}{\ell_j^2}
+\lambda)^{-1}\varphi_j
\|_2\\
&\ \ \ \ \
+\|Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
(\hh_0+\frac{1}{\ell_j^2}
+\lambda)^{-1}(\sigma\cdot \bb)\xi_j
(\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}\varphi_j
\|_2\\
&\ \ \ \ \
+\|Y\varphi_j(-\partial_{x_3}^2+\lambda)^{-1/2}
(\hh_0+\frac{1}{\ell_j^2}
+\lambda)^{-1}
\left\{
-\Psi\xi_j +[\pp_0,\xi_j]\right\}
(\pp_0 +\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}\varphi_j
\|_2\\
&=K_1+K_2+K_3.
\endaligned
$$
By (2.13),
$$
K_1\le C\lambda^{-1/4}
(\frac{1}{\ell_j^2}+\lambda)^{-1/2}
\|Y\varphi_j\|_{L^2}
\le C\lambda^{-1/4}\ell_j \|Y\varphi_j\|_{L^2}. \tag 5.16
$$
To estimate $K_2$, we use (2.6), Lemma 5.2, and (2.13) to obtain
$$
\aligned
K_2&\le
\|Y\varphi_j (-\partial_{x_3}^2+\lambda)^{-1/2}
(\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-\frac12 -\delta}\|_2\\
&\ \ \ \ \ \ \ \ \cdot
\| (\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-\frac12 +\delta}
(\sigma\cdot\bb )\xi_j
(\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}\|_{L^2\to L^2}\\
&\le
C\,
\|Y\varphi_j (-\partial_{x_3}^2+\lambda)^{-1/2}
(\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-\frac12 -\delta}\|_2
\cdot \ell_j^{1-2\delta}\\
&\le C\,
\lambda^{-1/4} (\frac{1}{\ell_j^2}+\lambda)^{-\delta}
\|Y\varphi_j\|_{L^2}\cdot \ell_j^{1-2\delta}\\
&\le C\,
\lambda^{-1/4}\ell_j \|Y\varphi_j\|_{L^2}
\endaligned
\tag 5.17
$$
where $\delta=\frac12 (1-\frac1p)$.
To bound $K_3$, we observe that
$$
\| \left\{ -\Psi\xi_j
+[\pp_0,\xi_j]\right\}
(\pp_0+\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}
\|_{L^2\to L^2}\le C
$$
using the same argument as in the proof of (4.9). It follows that
$$
\aligned
K_3
&\le
\| Y\varphi_j (-\partial_{x_3}^2 +\lambda)^{-1/2}
(\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-1}\|_2\\
&\ \ \ \ \ \ \ \ \ \ \cdot
\| \left\{ -\Psi\xi_j
+[\pp_0,\xi_j]\right\}
(\pp_0+\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}
\|_{L^2\to L^2}\\
&\le C\lambda^{-1/4}\ell_j \|Y\varphi_j\|_{L^2}.
\endaligned
\tag 5.18
$$
Finally, we add (5.16), (5.17) and (5.18) to conclude that
$$
\|Y\varphi_j (-\partial_{x_3}^2+\lambda)^{-1/2}
(\pp_0+\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}
\varphi_j
\|_2
\le K_1+K_2 +K_3
\le C\lambda^{-1/4}\ell_j \|Y\varphi_j\|_{L^2}.
$$
It follows that
$$
\aligned
n(1/3,J_2)
&\le
C\sum_j
\|Y\varphi_j (-\partial_{x_3}^2+\lambda)^{-1/2}
(\pp_0+\Psi +\frac{1}{\ell_j^2}
+\lambda)^{-1}
\varphi_j
\|_2^2\cdot\frac{1}{\ell_j^4}\\
&\le\frac{C}{\sqrt{\lambda}}
\sum_j
\frac{1}{\ell_j^2}
\int_{\Bbb{R}^3} |Y\varphi_j|^2dx\\
&\le \frac{C}{\sqrt{\lambda}}
\int_{\{ x\in\Bbb{R}^3: V(x)< -\lambda\} }
\Psi(x) |V(x)|dx
\endaligned
$$
since $|Y|\le |V|^{1/2}\chi_{\{ x\in\Bbb{R}^3: V(x)< -\lambda\} }$.
The proof is finished.
\enddemo
\proclaim{\bf Lemma 5.4}
There exists a constant $C>0$ such that
$$
n(1/3,J_3)
\le\frac{C}{\sqrt{\lambda}}
\int_{\{ x\in\Bbb{R}^3: V(x)< -\lambda\} }
|V(x)|^2dx
+
\frac{C}{\sqrt{\lambda}}
\int_{\{ x\in\Bbb{R}^3: V(x)< -\lambda\} }
\Psi(x)
|V(x)|dx.
$$
\endproclaim
\demo{\bf Proof}
Using
$[\pp_0,\varphi_j]=\big[\Bbb{D}^*,[\Bbb{D},\varphi_j]\big]
+[\Bbb{D},\varphi_j]\Bbb{D}^*
+[\Bbb{D}^*,\varphi_j]\Bbb{D}
$, we have
$$
\aligned
J_3&=
\sum_jY\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\pp_0,\varphi_j] (\pp_0 +\lambda)^{-1/2}\\
&=
\sum_jY\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
\big[\Bbb{D}^*,[\Bbb{D},\varphi_j]\big] (\pp_0 +\lambda)^{-1/2}\\
&\ \ \ \
+\sum_jY\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
\left\{
[\Bbb{D},\varphi_j] \Bbb{D}^*
+
[\Bbb{D}^*,\varphi_j] \Bbb{D}
\right\}
(\pp_0 +\lambda)^{-1/2}\\
&=J_{31}
+J_{32}.
\endaligned
$$
Thus,
$$
n(1/3,J_3)\le n(1/6, J_{31}) +n(1/6, J_{32}).
$$
Since
$| [\Bbb{D}^*,[\Bbb{D},\varphi_j]]\psi|\le |\nabla^2 \varphi_j|\, |\psi|$,
we may use the same argument as in the proof of Lemma 5.3 to show that
$$
n(1/6, J_{31})
\le\frac{C}{\sqrt{\lambda}}
\int_{\{ x\in\Bbb{R}^3: V(x)< -\lambda\} }
\Psi (x) |V(x)|dx.
$$
On the other hand, using $\| \Bbb{D} (\pp_0+\lambda)^{-1/2}
\|_{L^2\to L^2}\le 1 $,
$\| \Bbb{D}^* (\pp_0+\lambda)^{-1/2}
\|_{L^2\to L^2}\le 1 $,
and (5.12), we may bound $n(1/6, J_{32})$ by
$$
\aligned
&C\| \sum_jY\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
\left\{
[\Bbb{D}^*,\varphi_j] \Bbb{D}
+
[\Bbb{D},\varphi_j] \Bbb{D}^*\right\}
(\pp_0 +\lambda)^{-1/2}\|_4^4\\
&\le C\| \sum_jY\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\Bbb{D}^*,\varphi_j]\|_4^4
+
C\| \sum_jY\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\Bbb{D},\varphi_j]\|_4^4\\
&\le C \sum_j\|Y\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\Bbb{D}^*,\varphi_j]\|_4^4
+
C \sum_j\|Y\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1}
[\Bbb{D},\varphi_j]\|_4^4\\
&\le C
\sum_j\|Y\varphi_j (\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1/2}\|_4^4
\cdot\frac{1}{(\frac{1}{\ell_j^2}+\lambda)^2}
\cdot \frac{1}{\ell_j^4}\\
&\le C
\sum_j\|Y\varphi_j (\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-1/2}\|_4^4
\| (\hh_0+\frac{1}{\ell_j^2}+\lambda)^{1/2}
(\pp_0+\Psi +\frac{1}{\ell_j^2}+\lambda)^{-1/2}\|_{L^2\to L^2}^4\\
&\le C
\cdot
\sum_j\|Y\varphi_j (\hh_0+\frac{1}{\ell_j^2}+\lambda)^{-1/2}\|_4^4\\
&\le
\frac{C}{\sqrt{\lambda}}
\int_{\{ x\in\Bbb{R}^3: V(x)< -\lambda\} }
|V(x)|^2dx
\endaligned
$$
where (2.12) is used in the last inequality.
The proof is complete.
Finally we are in a position to give the
\demo{\bf Proof of Theorem 1.2}
It follows from (5.14), Lemmas 5.1, 5.3, and 5.4 that
$$
\aligned
N(2\lambda, \pp_0 +V)
&\le n(1/3, J_1) +n(1/3, J_2) +n(1/3, J_3)\\
&\le
\frac{C}{\sqrt{\lambda}}
\int_{\{ x\in\Bbb{R}^3: V(x)< -\lambda\} }
|V(x)|^2dx
+\frac{C}{\sqrt{\lambda}}
\int_{\{ x\in\Bbb{R}^3: V(x)< -\lambda\} }
\Psi (x)|V(x)|dx.
\endaligned
$$
Thus, if $\gamma>1/2$,
$$
\aligned
\Cal{M}_\gamma
&=\sum_{\lambda_j<0}
|\lambda|^\gamma
=\gamma \int_0^\infty
\lambda^{\gamma -1} N(\lambda,\pp_0+V)\, d\lambda\\
&=
\gamma 2^\gamma
\int_0^\infty
\lambda^{\gamma -1} N(2\lambda,\pp_0+V)\, d\lambda\\
&\le
C_\gamma \int_{\Bbb{R}^3}
|V(x)|_-^{\gamma+3/2}dx
+C_\gamma
\int_0^\infty
\Psi(x) |V(x)|_-^{\gamma+1/2}dx.
\endaligned
$$
Noting that $\Psi(x)\approx b_p(x)$ for $p>1$ by an argument similar
to that in the proof of Lemma 4.5,
we are done.
\enddemo
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