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Generalized outer-electron radii of neutral Coulomb atoms

OpenAI, 24 September 2026

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Part of family 263: The ionization and generalized ionization conjectures. Read it with its family

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Abstract

We prove the radius part of the generalized ionization conjecture for neutral nonrelativistic Coulomb atoms with two spin states. For every choice of ground states, the upper and lower large-nuclear-charge limits of the radius defined by an expected exterior electron mass m are both asymptotic to (81\pi^2/2)^{1/3}m^{-1/3} as m tends to infinity.

1 Introduction

The ionization problem asks how the outer electrons of an atom behave as its nuclear charge increases. The generalized ionization conjecture predicts universal asymptotics for both ionization energies and radii defined by a prescribed exterior electron mass. We resolve its radius part positively for the full correlated two-spin Schrödinger model, using the conditional screening and propagation estimates of [Oa].

1.1 Statement of the result

In atomic units, for each integer Z\ge1 let

H_Z=\sum_{i=1}^{Z}\left(-\frac12\Delta_{x_i}-\frac{Z}{|x_i|}\right) +\sum_{1\le i<j\le Z}\frac1{|x_i-x_j|} \quad\hbox{on }\bigwedge^ZL^2(\R^3;\C^2). \tag{1.1}

The operator is associated with its usual closed, bounded-below quadratic form. Let \Psi_Z be any normalized ground state and let its spin-summed one-electron density be

\rho_{\Psi_Z}(x) =Z\sum_{\sigma_1,\ldots,\sigma_Z\in\{1,2\}} \int_{\R^{3(Z-1)}} |\Psi_Z(x,\sigma_1;x_2,\sigma_2;\ldots;x_Z,\sigma_Z)|^2 \dd x_2\cdots\dd x_Z. \tag{1.2}

For Z=1 the integral is absent. Thus \int\rho_{\Psi_Z}=Z. For integers 1\le m<Z, define

R_m(\Psi_Z)=\inf\left\{r\ge0: \int_{|x|>r}\rho_{\Psi_Z}(x)\dd x\le m\right\}. \tag{1.3}

This is a radius in the neutral atom: m specifies the expected electron mass outside the sphere. The state itself still has Z electrons.

Theorem 1.1 (Generalized ionization conjecture: radii). Set b_{\mathrm{TF}}=(81\pi^2/2)^{1/3}. For every choice of normalized neutral ground states (\Psi_Z)_{Z\ge1} of (1.1),

\begin{align*} \lim_{m\to\infty}m^{1/3} \left[\limsup_{\substack{Z\to\infty\\ Z>m}}R_m(\Psi_Z)\right] &=b_{\mathrm{TF}},\tag{1.4}\\ \lim_{m\to\infty}m^{1/3} \left[\liminf_{\substack{Z\to\infty\\ Z>m}}R_m(\Psi_Z)\right] &=b_{\mathrm{TF}}. \tag{1.5}\end{align*}

All limits are over integers. The inner limits hold m fixed; no convergence in Z at a fixed m is assumed.

The statement is uniform over all choices in each ground eigenspace. Neither the state nor its density is assumed to be spherically symmetric. Existence of these ground states, in the same form and spin convention, follows from the strict binding statement in [Oa, Lemma 2.5].

1.2 History and scope

The Thomas–Fermi approximation became a rigorous description of the leading energy and scaled bulk density through the work of Lieb and Simon [LS77, Theorems III.1 and III.3]. A neutral atom has bulk length scale Z^{-1/3}, while the radius in (1.3), at fixed m, concerns only the fraction m/Z of its mass. Convergence of the bulk density therefore leaves this outer-electron question unresolved. For the full quantum model, Seco, Sigal, and Solovej obtained a quantitative lower bound on the radius containing all but one expected electron [SSS90, Theorem 3]. This concerns the same expected-tail notion of radius, but its lower bound still decays with Z and does not determine a universal outer-radius law.

Solovej’s unrestricted Hartree–Fock theorem established the universal outer-radius asymptotic with the same constant as in Theorem 1.1 [S03, Definition 1.2 and Theorem 1.5]. Its proof controls screened potentials on successively larger exterior regions [S03, Sections 10–13], uniformly in the chosen Hartree–Fock minimizer. The generalized ionization conjecture for the full Schrödinger model explicitly retains both upper and lower large-Z limits [S16, Section 3, Equation (2)]. The order of limits in Theorem 1.1 is precisely this formulation. Sharp radius estimates were subsequently obtained for minimizers in Thomas–Fermi–Dirac–von Weizsäcker theory [FNV18, Theorem 1.3] and for power density-matrix functionals [K17, Theorem 3]. These are results for distinct approximate variational models, not for arbitrary correlated Schrödinger ground states.

The limiting profile has its own earlier analytic theory. Lieb and Simon proved directional Sommerfeld asymptotics for neutral Thomas–Fermi systems [LS77, Theorem IV.10]. Solovej’s later comparison estimate explicitly allows nonradial solutions [S03, Lemma 4.4 and Remark 4.5]; the homogeneous rigidity statement used here is a consequence of that estimate. We give a short dilation proof in Lemma 4.3. The additional task is to obtain such a profile from correlated quantum ground states and then recover their expected exterior mass.

For the full model, the foundation companion already bounds above and below, uniformly in Z and the neutral ground state, the radius leaving one half of an electron in expected exterior mass [Oa, Theorem 1.2]. The present theorem identifies the sharp coefficient as the prescribed exterior mass tends to infinity. The same companion supplies the conditional density comparisons and positive intermediate subsolutions used for this passage. Section 2 defines their common observations and smoothing conventions; Appendix A records the provider results and the order of parameter choices. The intermediate-scale compactness strategy also appears in the energy companion [Ob, Section 5]. That is a shared method: the proof here uses only the foundation estimates and establishes its own neutral-profile and expected-tail arguments.

1.3 Proof and reusable ingredients

The limiting neutral Thomas–Fermi model explains both the rescaling and the radius coefficient. Its density \varrho and screened field F satisfy, away from the nucleus,

\varrho=k(F_+)^{3/2},\qquad \Delta F=4\pi\varrho, \qquad k=\frac{2^{3/2}}{3\pi^2},\qquad t_+=\max(t,0). \tag{1.6}

Here k corresponds to two spin states and kinetic operator -\Delta/2 [Oa, Equation (1.3)]. Since \Delta|x|^{-4}=12|x|^{-6}, the positive radial homogeneous solution is F_*(x)=A_*|x|^{-4}, with

A_*:=\left(\frac{12}{4\pi k}\right)^2=\frac{81\pi^2}{8}, \qquad \rho_*(x):=kA_*^{3/2}|x|^{-6}\quad(x\ne0). \tag{1.7}

Its exterior mass is

\int_{|x|>r}\rho_*(x)\dd x=4A_*r^{-3} =b_{\mathrm{TF}}^3r^{-3},

so prescribing mass m gives radius b_{\mathrm{TF}}m^{-1/3}. These are equations for the limiting model, not identities for the quantum density \rho_{\Psi_Z}.

To reach this model from a quantum state, we add small independent errors to the electron positions and condition on the resulting unordered observations. Conditionally averaging smooth unit-mass packets around the electron positions gives a density; subtracting its Coulomb potential from the nuclear potential gives the screened field. At an intermediate radius s, we rescale this field by s^4 and the density by s^6. The comparison estimate gives a pointwise Thomas–Fermi relation on larger and larger rescaled annuli. Two difficulties remain: the field has only an upper bound, and the total rescaled electron mass can diverge. Exact neutrality makes its spherical mean nonnegative. The upper bound then controls the full local L^1 norm, so harmonic interior estimates give compactness even for these signed fields.

The intermediate subsolutions transfer a strictly positive lower bound to each limit. Dilation compactness and contact at approximate extrema then identify the field as the homogeneous Sommerfeld profile, without assuming radiality. The compactness and rigidity criteria are stated separately in Lemmas 4.1 and 4.3.

Finally, a conditional profile must be related to the expected mass defining (1.3). A localized L^2 count estimate removes the exceptional observations; shrinking packet supports remove the smoothing; and a separate dyadic estimate controls the distant tail. The resulting mass asymptotic, proved along every admissible sequence, gives both iterated limits by a finite-threshold argument in Z.

The proof follows these steps in order. Section 3 selects observations on expanding annuli, Section 4 identifies the limiting field, and Section 5 passes to expected raw counts and proves the radius limits.

1.4 Notation

Write K(x)=|x|^{-1}, V=ZK, and f(t)=4\pi k(t_+)^{3/2}. Constants C,c>0 may change from line to line; their permitted dependencies will be specified. Expectations include the spin sum and any stated auxiliary randomness. For the raw spatial configuration of \Psi_Z, antisymmetry gives

\E\#\{i:x_i\in A\}=\int_A\rho_{\Psi_Z}(x)\dd x. \tag{1.8}

All finite-system radial boundary spheres have probability zero.

2 Conditional screening inputs

We define one family of screened conditional fields and state the foundation estimates used to study it. Their complete proofs are in [Oa]; Appendix A collects the parameter order and provider map. All constants and thresholds below are uniform over neutral ground states.

2.1 Energy offset and count bounds

For a fixed nuclear charge Z, let E_n=E_n(Z) be the bottom of the n-electron Hamiltonian with the same kinetic and spin conventions as (1.1), and put E=\inf_{n\ge0}E_n. A normalized state has offset \delta if its energy is at most E+\delta.

Proposition 2.1 (Uniform offset and raw counts). There are constants D_0,Z_0<\infty such that every normalized neutral ground state with Z\ge Z_0 has offset at most D_0. For every fixed 0<\alpha<\beta<\infty and every u>0, its raw electron configuration satisfies

\begin{aligned} \left\|\#\{i:\alpha u<|x_i|<\beta u\}\right\|_{L^2(\Prob)} &\le C_{\alpha,\beta} \bigl(\max\{u^{-3},1\}+\sqrt{D_0u}\bigr),\\ \E\#\{i:|x_i|>1\}&\le C(1+\sqrt{D_0}). \end{aligned} \tag{2.1}

Proof. Monotonicity of the sector energies [Oa, Lemma 2.1] and the bounded offset of the (Z-1)-electron sector [Oa, Proposition 12.3] give E\le E_Z\le E_{Z-1}\le E+C. Take D_0=C. The first assertion in (2.1) is [Oa, Corollary 4.9]. The second follows from [Oa, Lemma 12.2] with t=4, since neutrality gives

\E\#\{i:|x_i|>1\}=Z-\E\#\{i:|x_i|<1\}.

Boundary spheres have zero probability, so either convention for annular endpoints gives the same estimates.

2.2 One family of observations and packets

The comparison estimate concerns a smoothed density conditioned on noisy position observations. As the observation index increases, we discard finer observations; the propagation construction uses conditional averaging over the discarded data. We use one packet family throughout, so that comparison and propagation concern the same fields.

Fix a real smooth radial function g, supported in the unit ball and normalized by \int g^2=1, and set g_t(y)=t^{-3/2}g(y/t). Fix the universal constants

w=10^{-5},\qquad L=10^5,\qquad 0<c_1<(10L)^{-1}.

Also fix \eps>0 sufficiently small for the barrier construction below. For 0<s<1 and Z large enough that 2\eps Z^{-1/3}\le s, define

r_0=\eps Z^{-1/3},\qquad r_j=2^jr_0,\qquad J=\max\{j:r_j\le s\},\qquad s/2<r_J\le s. \tag{2.2}

For each j<J observe the unordered array \{x_i+r_j^{1.01}U_{ji}:1\le i\le Z\}. Every Cartesian coordinate of every U_{ji} is independent, independent of the raw configuration, and has density c_\zeta\exp[-1/(1-u^2)]\mathbf1_{\{|u|<1\}}. Let \mathcal F_j retain the arrays with indices j,\ldots,J-1; let \mathcal F_J be trivial. Thus the sigma-fields decrease with j.

For a possible electron center x, define the master packets and their conditional densities by

\begin{gathered} d_x=|x|,\qquad \widehat d_x=\max\{d_x,r_0\},\qquad t_x=c_1\widehat d_x\min\{\widehat d_x,s\}^{w},\\ \mathcal K_x(y)=g_{t_x}(y-x)^2,\qquad \mu_j(y)=\E\left[\sum_{i=1}^Z\mathcal K_{x_i}(y) \,\middle|\,\mathcal F_j\right], \qquad H_j=V-K*\mu_j . \end{gathered} \tag{2.3}

The upper clamp acts only on the factor raised to w. In particular t_x\ge c_1r_0^{1+w}>0, every packet has mass one, and its support is contained in B(x,t_x). Unlike the unconditional raw density \rho_{\Psi_Z}, the density \mu_j depends on the observed data and includes packet smoothing. Section 5 removes both operations to recover the expected raw mass defining the radius.

We use the conditional-integral versions in [Oa, Lemma 5.1 and Section 10.1]: at data of positive marginal density, integrate against the raw law multiplied by the observation likelihood and divided by that marginal density. These versions are jointly measurable. For each finite system, every spatial derivative of \mu_j has a deterministic bound, since the widths have a positive lower bound. Almost surely,

\mu_j\ge0,\qquad \int\mu_j=Z,\qquad \Delta H_j=-4\pi Z\delta_0+4\pi\mu_j . \tag{2.4}

The remainder H_j-V is continuous and locally Lipschitz even at zero. For example, splitting the Coulomb potential and its gradient at unit distance uses boundedness of \mu_j near the singularity and its finite mass farther away. The corresponding regularity bounds may depend on Z. The conditional tower identity for \mu_j holds pointwise in space; the identity for H_j holds away from the nucleus, and that for the continuous extension of H_j-V holds everywhere. Both identities hold after integration against smooth compactly supported tests.

2.3 The inverse comparison

Proposition 2.2 (Conditional comparison). There is a universal C_{\mathrm{cap}} with the following property. Fix L_1\ge2, 0<h_l<h_h<\infty, and 0<\xi<h_l/16. For all sufficiently small s>0, depending on these parameters and D_0, and each j<J, there is an event in \mathcal F_j whose complement has probability at most Cr_j^{25}, on which, simultaneously for r_j\le |y|\le4L_1r_j and h_l\le h\le h_h,

\begin{gathered} H_j(y)\le C_{\mathrm{cap}}|y|^{-4},\\ |y|^6\mu_j(y)>kh^{3/2} \quad\Longrightarrow\quad |y|^4H_j(y)\ge h-\xi,\\ |y|^6\mu_j(y)<kh^{3/2} \quad\Longrightarrow\quad |y|^4H_j(y)\le h+\xi. \end{gathered} \tag{2.5}

The probability constant may depend on the fixed comparison parameters, but C_{\mathrm{cap}} does not. The estimates are uniform in Z, the ground state, j, and J.

This is [Oa, Proposition 10.1]. The observations and packets in (2.2)–(2.3) are chosen before L_1,h_l,h_h,\xi. Varying the comparison accuracy or its annular width therefore does not change the conditional fields. This common choice is essential when we combine increasingly accurate comparisons with a single barrier construction.

2.4 Intermediate subsolutions

Proposition 2.3 (Intermediate subsolutions). For the fixed constants above, there are B>0, C_{\mathrm{inv}}<\infty, s_{\mathrm{bar}}>0, and a finite integer threshold Z_{\mathrm{bar}}(s) for every 0<s\le s_{\mathrm{bar}}, such that the following holds. For every Z\ge Z_{\mathrm{bar}}(s) and every neutral ground state, [Oa, Proposition 11.2] supplies, at each 0\le j\le J, \mathcal F_j-measurable functions u_j,p_j satisfying

\begin{gathered} \Delta u_j\ge-4\pi Z\delta_0+ 4\pi\mathbf1_{\{|y|<r_j\}}\mu_j-4\pi p_j+ \mathbf1_{\{|y|\ge r_j\}}f(u_j) \quad\hbox{in }\mathcal D'(\R^3),\\ B|y|^{-4}\left(1-\frac{r_j}{8|y|}\right) \le u_j(y)\le C_{\mathrm{inv}}|y|^{-4} \quad (|y|\ge r_j),\\ p_j\ge0,\qquad \supp p_j\subset\{|y|\le r_j\},\qquad \E\int p_j\le C(s^{32}+s^\gamma),\qquad \gamma=\frac{19}{2}-3w>0. \end{gathered} \tag{2.6}

For each finite system and index, p_j is bounded and u_j-V is continuous and locally Lipschitz through zero. The constants B, C_{\mathrm{inv}}, and C and the thresholds are independent of the ground state and of the number of dyadic scales. We enlarge Z_{\mathrm{bar}}(s) to include Z\ge Z_0 and 2r_0\le s.

The bound on the expected error is valid at every intermediate index. Its persistence is important enough to recall: the propagation first replaces p_j by

\widetilde p=p_j+ \mathbf1_{\{\text{bad data at step }j\}} \mathbf1_{\{r_j\le|y|<2r_j\}}\mu_j

and then sets p_{j+1}=\E[\widetilde p\mid\mathcal F_{j+1}]; as in the proof of [Oa, Proposition 11.2]. The added source is nonnegative and conditional averaging preserves its expected integral. Hence \E\int p_j is nondecreasing in j, so the final bound controls all preceding indices. We fix all parameters of this construction once. The only parameters varied later are those of Proposition 2.2, applied to the same observations and packets.

At a fixed index j, the identities, finite-system regularity, and almost-sure subsolution properties may be placed on one \mathcal F_j-measurable set of full measure. Continuity and a countable dense family of compactly supported distributional tests justify the simultaneous spatial assertions. We fix these versions before selecting any observation data. The comparison inequalities of Proposition 2.2 hold on their separate high-probability event, which will be intersected with this full-measure set.

3 Retained data on expanding annuli

We first arrange the foundation estimates on a sequence of expanding rescaled annuli. Throughout this section, let

s_\ell\longrightarrow0,\qquad Z_\ell\ge Z_{\mathrm{bar}}(s_\ell),\qquad Z_\ell s_\ell^3\longrightarrow\infty, \tag{3.1}

and call such a sequence admissible. Choose an arbitrary normalized neutral ground state \Psi_\ell at each Z_\ell. The threshold Z_{\mathrm{bar}} includes the fixed barrier requirements of the preceding section. At each index we use its observations and master packets, with the barrier parameters fixed once and for all. Probabilities and conditional expectations refer to the enlarged law of that system; no common probability space for different indices is needed. We omit a finite initial segment whenever necessary.

Proposition 3.1 (Estimates on retained data). There are deterministic integers q_\ell\to\infty and j_\ell<J_\ell, and events G_\ell\in\mathcal F_{j_\ell} with \Prob(G_\ell)\to1, such that

a_\ell:=\frac{r_{j_\ell}}{s_\ell} \in\left[\frac1{2q_\ell},\frac1{q_\ell}\right]. \tag{3.2}

Put \lambda_\ell=Z_\ell s_\ell^3 and, on each retained datum, define

\begin{aligned} F_\ell(x)&=s_\ell^4H_{j_\ell}(s_\ell x),& \sigma_\ell(x)&=s_\ell^6\mu_{j_\ell}(s_\ell x),\\ U_\ell(x)&=s_\ell^4u_{j_\ell}(s_\ell x),& p_\ell(x)&=s_\ell^6p_{j_\ell}(s_\ell x). \end{aligned} \tag{3.3}

These fields satisfy the exact identities

\begin{gathered} \sigma_\ell\ge0,\qquad \int_{\R^3}\sigma_\ell\,\dd x=\lambda_\ell, \qquad F_\ell=\lambda_\ell K-K*\sigma_\ell,\\ \Delta F_\ell=-4\pi\lambda_\ell\delta_0+4\pi\sigma_\ell, \end{gathered} \tag{3.4}

and, simultaneously on a_\ell\le|x|\le q_\ell,

F_\ell(x)\le C_{\mathrm{cap}}|x|^{-4},\qquad \bigl|\sigma_\ell(x)-k(F_\ell(x)_+)^{3/2}\bigr| \le q_\ell^{-8}|x|^{-6}. \tag{3.5}

The scaled subsolution obeys, in distributions on \R^3,

\Delta U_\ell\ge -4\pi\lambda_\ell\delta_0 +4\pi\mathbf1_{\{|x|<a_\ell\}}\sigma_\ell -4\pi p_\ell +\mathbf1_{\{|x|\ge a_\ell\}}f(U_\ell), \tag{3.6}

with

B|x|^{-4}\left(1-\frac{a_\ell}{8|x|}\right) \le U_\ell(x)\le C_{\mathrm{inv}}|x|^{-4} \qquad (|x|\ge a_\ell), \tag{3.7}

and

p_\ell\ge0,\qquad \operatorname{supp}p_\ell\subset\{|x|\le a_\ell\},\qquad \int_{\R^3}p_\ell\,\dd x\le s_\ell^3. \tag{3.8}

For each finite system, \sigma_\ell is a bounded smooth density, p_\ell is a bounded density, and both F_\ell-\lambda_\ell K and U_\ell-\lambda_\ell K extend continuously and locally Lipschitz through the origin. All these assertions hold for every datum in G_\ell, so they may be used along arbitrary selections of retained data.

Figure 1 distinguishes the physical radius s_\ell from the expanding annulus on which its rescaled fields are compared.

Figure 1: The physical and rescaled radii in Proposition 3.1 (schematic, not to scale). The same observation index supplies both the comparison on the shaded annulus and the intermediate subsolution. Its rescaled inner radius tends to zero while the outer endpoint tends to infinity.

Proof. Inverting the comparison. We extract a density approximation from the inverse comparison (2.5). Fix an integer q\ge2 and choose h_h>C_{\mathrm{cap}}+1. At a point in its comparison band, write

v=|y|^4H_j(y),\qquad t=\left(\frac{|y|^6\mu_j(y)}{k}\right)^{2/3}\ge0.

Choose 0<h_l<h_h and 0<\xi<\min\{h_l/16,1\}, to be decreased below. The cap and the high implication rule out t\ge h_h: taking heights increasing to h_h would give v\ge h_h-\xi>C_{\mathrm{cap}}. If h_l<t<h_h, heights approaching t from below and above give |v-t|\le\xi, and hence |v_+-t|\le\xi. If t\le h_l, heights decreasing to h_l in the low implication give v\le h_l+\xi. This last case includes t=h_l and allows arbitrarily negative v; both t and v_+ still lie in [0,h_l+\xi]. Consequently

k\bigl|t^{3/2}-(v_+)^{3/2}\bigr| \le \begin{cases} \dfrac32 k\sqrt{h_h}\,\xi,& h_l<t<h_h,\\[2pt] k(h_l+\xi)^{3/2},& t\le h_l. \end{cases}

We may therefore choose h_l=h_l(q) and \xi=\xi(q) so that the right-hand side is at most q^{-8}. These choices are fixed before the comparison’s smallness threshold for s is imposed.

Choosing the observation scale. For this fixed q, take L_1=q^2. The admissibility condition gives

\frac{r_0}{s_\ell} =\eps\bigl(Z_\ell s_\ell^3\bigr)^{-1/3}\longrightarrow0.

Thus, for all sufficiently large \ell, the largest dyadic radius not exceeding s_\ell/q has an index j<J_\ell and satisfies

\frac{s_\ell}{2q}\le r_j\le\frac{s_\ell}{q}.

Here j<J_\ell follows from r_{J_\ell}>s_\ell/2 and q\ge2. Moreover 4L_1r_j\ge2qs_\ell, so the comparison covers the band r_j\le|y|\le qs_\ell. The rescaled comparison band thus extends from a radius in [1/(2q),1/q] to q. On its event we have

H_j(y)\le C_{\mathrm{cap}}|y|^{-4},\qquad \bigl|\mu_j(y)-k(H_j(y)_+)^{3/2}\bigr| \le q^{-8}|y|^{-6} \quad(r_j\le|y|\le qs_\ell). \tag{3.9}

The exceptional probability is at most C_qs_\ell^{25}. The observations and master kernels in (2.2)–(2.3) are fixed independently of L_1,h_l,h_h,\xi. Thus this new application of the comparison concerns exactly the same \mu_j,H_j as the fixed-parameter barrier construction.

Choosing the stages and retained data. Choose strictly increasing stage indices \ell_q so that, for every \ell\ge\ell_q, all the preceding requirements for that fixed q hold, including C_qs_\ell^{25}\le1/q. On \ell_q\le\ell<\ell_{q+1} set q_\ell=q, and choose the deterministic index j_\ell just described. Then q_\ell\to\infty, (3.2) holds, and the comparison events have probability tending to one. No bound on the growth of C_q, or on the smallness thresholds as functions of q, is needed.

For each system, first choose the conditional-integral versions of the fields. At each index j, fix an \mathcal F_j-measurable full-measure set on which all its imported identities, regularity properties, and barrier inequalities hold. Spatial continuity and a countable dense family of distributional tests supply the continuum assertions; the finitely many such sets are fixed before any data are selected. Intersect the comparison event at j_\ell with its corresponding valid-data set and with

\left\{\int_{\R^3}p_{j_\ell}(y)\,\dd y\le1\right\}.

Call the resulting event G_\ell. The intermediate error estimate (2.6) and Markov’s inequality give

\Prob(G_\ell^c) \le\frac1{q_\ell}+C\bigl(s_\ell^{32}+s_\ell^\gamma\bigr) \longrightarrow0.

In particular the retained-data assertion is pointwise on specified valid versions, not an assertion left to an exceptional set after a datum is selected.

Rescaling. Each conditional density has mass Z_\ell, and the Coulomb kernel has degree -1, so (3.3) gives (3.4) exactly. The comparison (3.9) gives (3.5). Since f(s^4u)=s^6f(u) for s>0, rescaling the imported distributional subsolution inequality gives (3.6), with the barriers (3.7). The support scales to the ball of radius a_\ell, and on G_\ell

\int_{\R^3}p_\ell(x)\,\dd x =s_\ell^3\int_{\R^3}p_{j_\ell}(y)\,\dd y\le s_\ell^3,

which proves (3.8). The finite-system regularity follows from the imported barrier regularity and the positive lower bound on packet widths. For the field remainder, a bounded integrable density has a locally Lipschitz Coulomb potential: near the singularity the kernels |z|^{-1} and |z|^{-2} are integrable in three dimensions, while away from it both kernels are bounded. This proves the remaining assertions.

4 The unique neutral limiting profile

Fix one datum in each retained set G_\ell of Proposition 3.1. The resulting fields are deterministic; we use its notation and all its bounds below. In particular, a_\ell\to0, q_\ell\to\infty, and the exact neutral mass identity (3.4) holds, even though \lambda_\ell=Z_\ell s_\ell^3\to\infty by admissibility.

We first obtain compactness of the signed fields from neutrality (Lemma 4.1), then transfer the positive barrier (Lemma 4.2), and finally identify the limit by dilation (Lemma 4.3). We do not assume that F_\ell is pointwise nonnegative.

Lemma 4.1 (Compactness from the neutral spherical mean). The sequence (F_\ell) is locally uniformly precompact on \R^3\setminus\{0\}. Every locally uniform subsequential limit F is locally Lipschitz and satisfies

\Delta F=f(F),\qquad F(x)\le C_{\rm cap}|x|^{-4},\qquad \frac1{4\pi}\int_{\mathbb S^2}F(d\omega)\,\dd\omega\ge0 \quad(d>0). \tag{4.1}

Along the same subsequence, \sigma_\ell\to k(F_+)^{3/2} locally uniformly away from zero. Moreover, there is a constant C_*, depending only on C_{\rm cap} and k, such that

|F(x)|\le C_*|x|^{-4}\qquad(x\ne0). \tag{4.2}

The family of dilates \{D^4F(D\,\cdot):D>0\} is also locally uniformly precompact away from zero.

Proof. Newton’s spherical-average identity is

\frac1{4\pi}\int_{\mathbb S^2}\frac{\dd\omega}{|d\omega-z|} =\frac1{\max(d,|z|)}.

It follows either by direct integration in the angle with z, or by the mean-value property inside and outside the sphere. Applying it to (3.4) and using the exact equality of the nuclear coefficient and total density mass gives

\overline F_\ell(d):= \frac1{4\pi}\int_{\mathbb S^2}F_\ell(d\omega)\,\dd\omega =\int_{|z|>d}\left(\frac1d-\frac1{|z|}\right) \sigma_\ell(z)\,\dd z\ge0. \tag{4.3}

All these integrals are finite for each \ell. No upper bound on \lambda_\ell is needed.

Fix an annulus \alpha\le |x|\le\beta with 0<\alpha<\beta<\infty. For large \ell, it lies in the band of (3.5). The cap and (4.3) imply, for every radius in this annulus,

\int_{\mathbb S^2}|F_\ell(d\omega)|\,\dd\omega =2\int_{\mathbb S^2}(F_\ell(d\omega))_+\,\dd\omega -\int_{\mathbb S^2}F_\ell(d\omega)\,\dd\omega \le 8\pi C_{\rm cap}d^{-4}. \tag{4.4}

Radial integration therefore bounds the full L^1 norm of F_\ell on the annulus. Equation (3.5) also bounds \sigma_\ell uniformly there.

Here is the local estimate we shall use twice. Take a ball Q whose closure stays away from zero, and a larger fixed annulus containing its closure. The localized potential

P_\ell=K*(\sigma_\ell\1_Q)

has uniformly bounded values and first derivatives: this follows from the density bound and the integrability of |z|^{-1} and |z|^{-2} on bounded subsets of \R^3. Since \Delta F_\ell=4\pi\sigma_\ell on Q, the function h_\ell=F_\ell+P_\ell is distributionally harmonic there. Its L^1(Q) norm is bounded by (4.4) and the bound on P_\ell. On every smaller concentric ball, harmonic interior estimates bound h_\ell and its gradient by this L^1 norm. For completeness, convolution with a fixed smooth radial averaging kernel reproduces a harmonic function in the interior; differentiating that convolution gives these bounds. The same argument applies to continuous distributionally harmonic functions, by first mollifying on interior sets. Subtracting P_\ell gives uniform local value and Lipschitz bounds for F_\ell.

A covering by such balls, followed by a diagonal Arzelà–Ascoli argument, gives local uniform precompactness and a locally Lipschitz limit. The error in (3.5) tends uniformly to zero on every fixed compact annulus, so \sigma_\ell\to k(F_+)^{3/2} there. Passing to distributions, to the cap, and to the spherical averages proves (4.1).

To compare with U_\ell on large spheres, we next strengthen the one-sided cap to an absolute bound for F. For D>0 set F^{(D)}(x)=D^4F(Dx). The equation, cap, and nonnegative spherical means in (4.1) are invariant under this dilation. In particular, on a fixed annulus the same argument as in (4.4) bounds the L^1 norm of every F^{(D)}, while the source k(F^{(D)}_+)^{3/2} is uniformly bounded by the cap. The local estimate just proved is therefore uniform in D. It yields both precompactness of the dilates and a uniform bound |F^{(D)}(\omega)|\le C_* for |\omega|=1. Writing x=D\omega proves (4.2).

Lemma 4.2 (Transfer of the positive barrier). Every limit F in Lemma 4.1 satisfies

B|x|^{-4}\le F(x)\le C_{\rm cap}|x|^{-4}\qquad(x\ne0). \tag{4.5}

Proof. We compare the barrier and the screened field on a fixed ball after subtracting a Coulomb correction that vanishes away from the origin. Work along the subsequence converging to F. Fix S>0; eventually a_\ell<S<q_\ell. Define

e_\ell(x)=q_\ell^{-8}|x|^{-6} \1_{\{a_\ell\le|x|\le S\}}, \qquad L_\ell=K*(p_\ell+e_\ell)\ge0. \tag{4.6}

Subtracting the Poisson equation for F_\ell from (3.6) cancels the nucleus and the entire inner density source. Since 4\pi\sigma_\ell\le f(F_\ell)+4\pi e_\ell on a_\ell\le|x|<S and \Delta(-L_\ell)=4\pi(p_\ell+e_\ell), the result is

\Delta(U_\ell-F_\ell-L_\ell) \ge \1_{\{|x|\ge a_\ell\}} \bigl(f(U_\ell)-f(F_\ell)\bigr) \quad\hbox{in }B(0,S). \tag{4.7}

This is an inequality on the whole ball, including the origin and the sphere |x|=a_\ell; no restriction or differentiation across an interface has been made.

Put

c_S=(C_{\rm inv}+C_*+1)S^{-4}.

Uniform convergence on |x|=S, the bound (4.2), the upper barrier in (3.7), and L_\ell\ge0 give, for large \ell,

U_\ell-F_\ell-L_\ell<c_S\qquad\hbox{on }|x|=S.

We justify the comparison throughout the ball. The difference

W_\ell=U_\ell-F_\ell-L_\ell-c_S =(U_\ell-\lambda_\ell K)+K*\sigma_\ell-L_\ell-c_S

extends continuously and locally in H^1 across zero. Indeed, the first term is locally Lipschitz by hypothesis. The other potentials have bounded integrable densities for each fixed \ell, and thus locally bounded gradients. In the case of L_\ell the density is also compactly supported. These bounds need not be uniform in \ell.

The strict boundary inequality implies that (W_\ell)_+ has compact support in B(0,S) and belongs to H^1_0(B(0,S)). It may therefore be used in (4.7), by approximation with nonnegative smooth tests in H^1. The right side is bounded on this fixed ball for this fixed \ell, since its reaction is cut off at the positive radius a_\ell. On the positive set of W_\ell outside that radius, we have U_\ell>F_\ell, because L_\ell+c_S>0. Monotonicity of f consequently gives

-\int_{B(0,S)}|\nabla(W_\ell)_+|^2\,\dd x \ge\int_{B(0,S)}\1_{\{|x|\ge a_\ell\}} \bigl(f(U_\ell)-f(F_\ell)\bigr)(W_\ell)_+\,\dd x \ge0.

It follows that (W_\ell)_+=0, or equivalently

U_\ell\le F_\ell+L_\ell+c_S\qquad\hbox{in }B(0,S). \tag{4.8}

For each fixed x with 0<|x|<S, we next show that L_\ell(x)\to0. For large \ell, the support and mass bound in (3.8) imply

(K*p_\ell)(x)\le \frac{2s_\ell^3}{|x|}\longrightarrow0.

The other source has small total mass:

\int e_\ell\,\dd x =\frac{4\pi}{3}q_\ell^{-8}(a_\ell^{-3}-S^{-3}) \le\frac{32\pi}{3}q_\ell^{-5}\longrightarrow0.

On the fixed ball B(x,|x|/4) its density is at most C_xq_\ell^{-8}. Integrability of the Coulomb kernel bounds its potential contribution there by C_xq_\ell^{-8}; on the complement the kernel is at most 4/|x|, so the contribution is at most (4/|x|)\int e_\ell. Hence L_\ell(x)\to0.

Now (4.8) and the lower barrier give

F(x)+c_S\ge B|x|^{-4}.

The argument holds for every fixed S>|x| along the same convergent subsequence. Letting S\to\infty proves the lower bound in (4.5); the upper bound was already known.

The next rigidity statement also follows from Solovej’s nonradial Sommerfeld estimate [S03, Lemma 4.4 and Remark 4.5]: in that estimate, take inner radius zero and use the positive two-sided |x|^{-4} bounds. We retain a direct dilation proof to make the precise compactness and contact argument explicit.

Lemma 4.3 (Rigidity of a positive comparable profile). Let F be a continuous distributional solution of \Delta F=4\pi kF^{3/2} on \R^3\setminus\{0\}, and suppose

B|x|^{-4}\le F(x)\le C|x|^{-4}\qquad(x\ne0)

for constants 0<B\le C<\infty. Then

F(x)=A_*|x|^{-4},\qquad A_*=\left(\frac{12}{4\pi k}\right)^2=\frac{81\pi^2}{8}. \tag{4.9}

No radiality assumption is required.

Proof. The local potential and harmonic estimates in Lemma 4.1 apply uniformly to the dilates F^{(D)}(x)=D^4F(Dx): their values and their sources are bounded on every fixed compact annulus. Thus the dilates are locally uniformly precompact, with locally Lipschitz limits satisfying the same equation.

Write

b=\sup_{x\ne0}|x|^4F(x),\qquad h=\inf_{x\ne0}|x|^4F(x), \qquad 0<h\le b<\infty.

Choose x_n with |x_n|^4F(x_n)\to b, and let D_n=|x_n|, \omega_n=x_n/|x_n|. After passing to a subsequence, F^{(D_n)}\to v locally uniformly and \omega_n\to\omega\in\mathbb S^2. Local equicontinuity gives

v(x)\le b|x|^{-4}\quad(x\ne0),\qquad v(\omega)=b.

The equation passes to the limit because its reaction is continuous and locally uniformly bounded. Since \Delta |x|^{-4}=12|x|^{-6} in three dimensions, this contact implies

4\pi k b^{3/2}\le12b. \tag{4.10}

Here is a weak proof of the contact assertion. If the inequality failed, the continuous function g=v-b|x|^{-4} would satisfy g\le0, g(\omega)=0, and \Delta g\ge\delta>0 on a sufficiently small ball about \omega. For 0<\eta<\delta/6, the function g-\eta|x-\omega|^2 is weakly subharmonic there, equals zero at the center, and is strictly negative on the boundary. Choose a level strictly between its boundary maximum and zero. Testing its Laplacian with the positive part above that level, as in the proof of Lemma 4.2, contradicts the value at the center. This proves (4.10) without a classical second derivative assumption.

Dilating instead along points approaching the infimum gives a limit v\ge h|x|^{-4} with equality at a unit point. If 4\pi k h^{3/2}<12h, the same argument applies to h|x|^{-4}-v, whose Laplacian is then strictly positive near its zero maximum. Consequently

4\pi k h^{3/2}\ge12h.

Together with (4.10), this gives b\le A_*\le h. Since h\le b, both extrema equal A_*, proving (4.9). The argument allows D_n to tend to zero, to infinity, or to neither; no extremum of the original field had to be attained.

Proposition 4.4 (Convergence of the selected fields). For every choice of one retained datum at each index,

F_\ell(x)\longrightarrow A_*|x|^{-4},\qquad \sigma_\ell(x)\longrightarrow \rho_*(x):=kA_*^{3/2}|x|^{-6}

locally uniformly on \R^3\setminus\{0\}.

Proof. Lemma 4.1 gives a locally uniformly convergent subsequence of every subsequence. Its limit satisfies the positive bounds of Lemma 4.2, so Lemma 4.3 identifies it as A_*|x|^{-4}. Uniqueness of every subsequential limit proves convergence of the full sequence. The density convergence follows from (3.5).

Corollary 4.5 (Uniformity on the retained data). For each fixed compact annulus \mathcal A\subset\R^3\setminus\{0\},

\sup_{\theta\in G_\ell} \left\|\sigma_\ell(\theta,\,\cdot)-\rho_*\right\|_{C(\mathcal A)} \longrightarrow0.

The corresponding assertion holds for F_\ell(\theta,\,\cdot)-A_*|\cdot|^{-4}.

Proof. If either assertion failed, there would be a positive discrepancy along a subsequence and a choice of one datum from each corresponding G_\ell realizing at least half that discrepancy. Those selected fields satisfy all the same deterministic hypotheses, contradicting Proposition 4.4. This argument uses no measurable selection: uniformity is a deterministic assertion about all the retained data, after the conditional versions have been fixed.

5 Expected electron tails and the radius limits

Fix any admissible sequence from (3.1), with arbitrary normalized neutral ground states \Psi_\ell at charges Z_\ell. Use the indices j_\ell and retained events G_\ell of Proposition 3.1. Throughout this section, \sigma_\ell is the conditional-integral version from (3.3) on the full data space, and expectations are taken under the original enlarged law. Thus \Prob(G_\ell)\to1, and Corollary 4.5 gives uniform convergence of \sigma_\ell to

\rho_*(x)=kA_*^{3/2}|x|^{-6}

on each fixed compact annulus, uniformly over the data in G_\ell. We now pass from these conditional densities to expected counts of raw electron positions. Every fixed sphere has zero expected raw count, since each one-electron marginal is absolutely continuous.

For 0<a<b<\infty, write

\mathcal A(a,b)=\{x:a<|x|<b\},\qquad N_\ell(a,b)=\#\{i:a s_\ell<|x_i|<b s_\ell\},

and let

P_\ell(a,b)=\sum_{i=1}^{Z_\ell} \int_{s_\ell\mathcal A(a,b)}\mathcal K_{x_i}(y)\dd y

be the mass of the smoothing packets in the same physical annulus. The packets and their widths are those of (2.3) for the \ellth system. Conditional integration and a change of variables give

\int_{\mathcal A(a,b)}\sigma_\ell(x)\dd x =s_\ell^3\E\bigl[P_\ell(a,b)\mid\mathcal F_{j_\ell}\bigr]. \tag{5.1}

Lemma 5.1 (Packet supports). For each fixed 0<a<b<\infty, all sufficiently large \ell satisfy

P_\ell(a,b)\le N_\ell(a/2,2b) \tag{5.2}

for every raw configuration. Moreover, for every fixed 0<\eta<\min\{a,(b-a)/2\}, all sufficiently large \ell satisfy

P_\ell(a+\eta,b-\eta) \le N_\ell(a,b) \le P_\ell(a-\eta,b+\eta) \tag{5.3}

for every raw configuration.

Proof. Abbreviate s=s_\ell and r_0=\eps Z_\ell^{-1/3}, and set \delta_s=c_1s^w\to0. If a packet centered at z has |z|\ge r_0, then its width obeys t_z\le\delta_s|z|. Consequently

\mathcal K_z(y)\ne0 \quad\Longrightarrow\quad (1-\delta_s)|z|\le |y|\le(1+\delta_s)|z|. \tag{5.4}

This estimate holds also for arbitrarily distant centers. If instead |z|<r_0, its packet is contained in the ball of radius

r_0+c_1r_0^{1+w}=o(s),

because r_0/s=\eps(Z_\ell s_\ell^3)^{-1/3}\to0. Such packets therefore cannot meet any fixed annulus s\mathcal A(a,b) for large \ell. For the remaining packets, (5.4) shows that a packet meeting this annulus has center in s\mathcal A(a/2,2b) once \delta_s is small. Each packet has mass one, proving (5.2).

The same inequalities show that every packet meeting the contracted annulus s\mathcal A(a+\eta,b-\eta) has its center in s\mathcal A(a,b). Conversely, every packet whose center lies in s\mathcal A(a,b) is entirely contained in the enlarged annulus s\mathcal A(a-\eta,b+\eta). For example, \delta_s<\eta/b suffices for these inclusions once the clamped packets have been excluded. Summing the mass-one packets proves both inequalities in (5.3).

Lemma 5.2 (Expected annular mass). For every fixed 0<a<b<\infty,

\begin{align*} \E\int_{\mathcal A(a,b)}\sigma_\ell(x)\dd x &\longrightarrow \int_{\mathcal A(a,b)}\rho_*(x)\dd x, \tag{5.5}\\ s_\ell^3\E N_\ell(a,b) &\longrightarrow \int_{\mathcal A(a,b)}\rho_*(x)\dd x. \tag{5.6}\end{align*}

Proof. Put Y_\ell=\int_{\mathcal A(a,b)}\sigma_\ell and X_\ell=N_\ell(a/2,2b). Equations (5.1) and (5.2), followed by conditional Jensen, give

0\le Y_\ell\le s_\ell^3\E[X_\ell\mid\mathcal F_{j_\ell}], \qquad \|Y_\ell\|_2\le s_\ell^3\|X_\ell\|_2.

The annular count bound (2.1), with the common offset D_0 and s_\ell<1, therefore yields

\|Y_\ell\|_2 \le C\bigl(1+\sqrt{D_0}\,s_\ell^{7/2}\bigr)\le C'. \tag{5.7}

In particular, for the actual complement of the retained event,

\E\bigl[Y_\ell\1_{G_\ell^c}\bigr] \le C'\Prob(G_\ell^c)^{1/2}\longrightarrow0.

No independence of G_\ell from the conditional fields is required. On G_\ell, Corollary 4.5 implies that Y_\ell converges to \int_{\mathcal A(a,b)}\rho_* uniformly over all retained data. Since \Prob(G_\ell)\to1, this proves (5.5).

Taking expectations in (5.1) gives \E Y_\ell=s_\ell^3\E P_\ell(a,b). Apply (5.5) to the contracted and enlarged annuli in (5.3). It follows that

\begin{align*} \int_{\mathcal A(a+\eta,b-\eta)}\rho_* &\le \liminf_{\ell\to\infty}s_\ell^3\E N_\ell(a,b)\\ &\le \limsup_{\ell\to\infty}s_\ell^3\E N_\ell(a,b) \le \int_{\mathcal A(a-\eta,b+\eta)}\rho_*.\end{align*}

Letting \eta\downarrow0 proves (5.6), because \rho_* is continuous and integrable on a neighborhood of the fixed closed annulus.

Lemma 5.3 (Exterior tightness). There is a constant C, independent of the fixed number M>0, such that every admissible sequence satisfies

\limsup_{\ell\to\infty}s_\ell^3 \E\#\{i:|x_i|>Ms_\ell\}\le CM^{-3}. \tag{5.8}

Proof. For fixed M, eventually Ms_\ell<1. Cover the region between Ms_\ell and 1 by shells u<|x|<2u, with u=2^pMs_\ell<1 and p=0,1,\ldots. The annular bound (2.1), applied with the fixed shape (1,2), gives

\E\#\{i:u<|x_i|<2u\} \le C\bigl(u^{-3}+\sqrt{D_0u}\bigr)\le C_Du^{-3} \qquad(0<u<1).

The expected raw mass outside radius 1 is bounded by the other estimate in (2.1). Summing the geometric series, and allowing the last shell to overlap this exterior region, gives

s_\ell^3\E\#\{i:|x_i|>Ms_\ell\} \le C_D M^{-3}\sum_{p=0}^{\infty}2^{-3p}+Cs_\ell^3.

The constants depend only on the fixed count estimates and D_0; they do not depend on M. Taking the upper limit proves the claim.

Theorem 5.4 (Expected exterior asymptotic). Along every admissible sequence, with arbitrary normalized neutral ground states, for each fixed a>0,

s_\ell^3\int_{|y|>as_\ell}\rho_{\Psi_\ell}(y)\dd y \longrightarrow \frac{b_{\mathrm{TF}}^3}{a^3}. \tag{5.9}

Proof. Fix M>a. Lemma 5.2 gives convergence on \mathcal A(a,M), whereas Lemma 5.3 bounds the remaining exterior mass after rescaling by CM^{-3}. Thus, with T_\ell(r)=\int_{|y|>r}\rho_{\Psi_\ell}(y)\dd y,

\begin{align*} \liminf_{\ell\to\infty}s_\ell^3T_\ell(as_\ell) &\ge \int_{\mathcal A(a,M)}\rho_*,\\ \limsup_{\ell\to\infty}s_\ell^3T_\ell(as_\ell) &\le \int_{\mathcal A(a,M)}\rho_*+CM^{-3}.\end{align*}

Let M\to\infty. The limiting density is integrable outside every positive radius, and

\int_{|x|>a}\rho_*(x)\dd x =\frac{4\pi kA_*^{3/2}}{3a^3} =\frac{4A_*}{a^3} =\frac{b_{\mathrm{TF}}^3}{a^3},

using 4\pi kA_*^{1/2}=12 and 4A_*=81\pi^2/2. This proves (5.9).

Proof of Theorem 1.1. For each sufficiently large integer m, put s=m^{-1/3} and choose a finite integer

Z_{\min}(m)\ge \max\{m+1,\,Z_{\mathrm{bar}}(m^{-1/3}),\,m^{4/3}\}.

The barrier threshold is uniform over normalized ground states. Consequently every sequence with m\to\infty and Z\ge Z_{\min}(m) is admissible: in particular, Zs^3\ge m^{1/3}\to\infty.

Fix 0<a_-<b_{\mathrm{TF}}<a_+. We claim that, for all sufficiently large integers m, all integers Z\ge Z_{\min}(m), and every normalized neutral ground state \Psi of charge Z,

\int_{|y|>a_-m^{-1/3}}\rho_\Psi(y)\dd y>m, \qquad \int_{|y|>a_+m^{-1/3}}\rho_\Psi(y)\dd y<m. \tag{5.10}

Otherwise choose strictly increasing violating integers m_\ell, charges Z_\ell\ge Z_{\min}(m_\ell), and corresponding ground states \Psi_\ell. With s_\ell=m_\ell^{-1/3} this is an admissible sequence. Theorem 5.4, applied separately at a_- and a_+, gives normalized tail limits b_{\mathrm{TF}}^3/a_-^3>1 and b_{\mathrm{TF}}^3/a_+^3<1. Hence both inequalities in (5.10) eventually hold on this sequence, a contradiction. This argument includes arbitrary choices of the ground states at the selected charges.

The tail mass is nonincreasing in its radius and tends to zero, so the set defining R_m(\Psi) is nonempty. The first inequality in (5.10) excludes every radius at most a_-m^{-1/3} from that set; the second places a_+m^{-1/3} in the set. Thus

a_-\le m^{1/3}R_m(\Psi)\le a_+ \tag{5.11}

for all the states and charges just specified.

Now fix any family (\Psi_Z)_{Z\ge1} of normalized neutral ground states. For each fixed sufficiently large integer m, removing the finite prefix Z<Z_{\min}(m) changes neither the inner upper limit nor the inner lower limit. Both

m^{1/3}\limsup_{\substack{Z\to\infty\\Z>m}}R_m(\Psi_Z) \quad\hbox{and}\quad m^{1/3}\liminf_{\substack{Z\to\infty\\Z>m}}R_m(\Psi_Z)

therefore lie between a_- and a_+. Finally let m\to\infty and squeeze with arbitrary a_-<b_{\mathrm{TF}}<a_+. This proves both asserted limits. No convergence in Z at fixed m is used.

A Foundation providers and parameter choices

Section 2 states the complete hypotheses used in this article. Their proofs are in the separate foundation companion Uniform excess charge for Coulomb molecules and the outer radius of neutral atoms [Oa]. This appendix identifies the provider results and explains the compatibility of their parameter choices. All inputs use two spin states, kinetic operator -\Delta/2, and the constants in (1.6).

States and raw counts. Ground-state existence comes from Lemma 2.5 of [Oa], and sector monotonicity from Lemma 2.1; the bounded neutral offset uses Proposition 12.3. The annular L^2 bound in Proposition 2.1 is Corollary 4.9, and the unit-radius exterior bound follows from Lemma 12.2 with t=4 and exactly Z electrons. These inputs apply uniformly to every normalized neutral ground state, not only to a selected family of states.

Common observations and conditional versions. Lemma 5.1 and Section 10.1 of [Oa] supply the observation law and likelihood-integral versions used in (2.2)–(2.4). In particular, the same master packets define all the conditional densities. Their exact mass, Poisson and tower identities and finite-system regularity hold on fixed full-measure sets. The derivative and local Lipschitz bounds need not be uniform in Z.

Comparison and intermediate subsolutions. Proposition 10.1 of [Oa] supplies Proposition 2.2: arbitrary fixed annular width and accuracy, a universal upper cap, and an exceptional probability of order r_j^{25}. Proposition 11.2 supplies Proposition 2.3 at every intermediate index, with constants independent of the number of scales. Its expected error bound controls every prefix, as explained after (2.6). At the terminal index the sigma-field is trivial, so the same bound is deterministic. The almost-sure subsolution assertions do not make the comparison event a full-measure event.

Order of choices. First fix the kernel and propagation constants, including \eps and the positive barrier coefficient B. Then fix a requested comparison band and accuracy, make s sufficiently small for that comparison and the fixed barrier construction, and take Z above the finite threshold Z_{\mathrm{bar}}(s). This threshold includes Z\ge Z_0 and 2\eps Z^{-1/3}\le s. Changing L_1,h_l,h_h,\xi changes the comparison event and its smallness requirement, not the observations, packets, conditional fields, or fixed barrier construction.

These two uniformities serve different purposes. The common fields allow Section 3 to improve the comparison accuracy along a slow diagonal while retaining the same subsolutions. Uniformity in the neutral ground state allows Section 5 to turn the result along every admissible sequence into a finite-charge threshold valid for all such states. No rate of growth for Z_{\mathrm{bar}}(s) is asserted or used.

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