Upper Estimates for Electronic Density in Heavy Atoms and Molecules
Victor Ivrii

TL;DR
This paper develops an improved upper estimate for electronic density in heavy atoms and molecules, especially at distances greater than or equal to the inverse of the nuclear charge, surpassing previous bounds.
Contribution
It introduces a new upper bound for electronic density that is more accurate at certain distances from nuclei in heavy atoms and molecules.
Findings
Upper estimate improves upon known bounds at distances ≥ Z^{-1}
Estimate is not sharp but still better than previous results
Applicable to heavy atoms and molecules with large nuclear charge
Abstract
We derive an upper estimate for electronic density in heavy atoms and molecules. While not sharp, on the distances from the nuclei it is still better than the known estimate ( is the total charge of the nuclei, the total number of electrons).
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[monsterbook-]monsterbook[http://www.math.toronto.edu/ivrii/monsterbook.pdf] \externaldocument[strongscott-]Strong-Scott[https://arxiv.org/abs/1908.05478] \externaldocument[elden2-]Electronic-Density-2[https://arxiv.org/abs/1911.03510]
Upper Estimates for Electronic Density in Heavy Atoms and Molecules††thanks: 2010 Mathematics Subject Classification: 35P20, 81V70 .††thanks: Key words and phrases: electronic density, Thomas-Fermi approximation.
Victor Ivrii This research was supported in part by National Science and Engineering Research Council (Canada) Discovery Grant RGPIN 13827
Abstract
We derive an upper estimate for electronic density in heavy atoms and molecules. While not sharp, on the distances from the nuclei it is still better than the known estimate ( is the total charge of the nuclei, the total number of electrons).
Chapter 1 Introduction
This paper is a result of my rethinking of three rather old but still remarkable papers [HHT, S1, ILS], which I discovered recently. The first of them derives the estimate electronic density from above via some integral also containing , the second one provides an estimate where is the total charge of nuclei and the third one derives the asymptotic of the averaged electronic density on the distances from the nuclei but its method works also on the larger distances.
The purpose of this paper is to provide a better upper estimate for on the distances larger than from the nuclei.
Let us consider the following operator (quantum Hamiltonian)
[TABLE]
describing same type particles in (electrons) the external field with the scalar potential (it is more convenient but contradicts notations of the previous chapters), and repulsing one another according to the Coulomb law.
Here and , potential is assumed to be real-valued. Except when specifically mentioned we assume that
[TABLE]
where and are charges and locations of nuclei.
Mass is equal to and the Plank constant and a charge are equal to here. We assume that .
Our purpose is to a pointwise upper estimate for the electronic density
[TABLE]
is the distance to the nearest nucleus. Our goal is to prove the following theorem:
Theorem 1.1**.**
Let
[TABLE]
with . Then
- (i)
For the following estimate holds:
[TABLE] 2. (ii)
For the following estimate holds:
[TABLE] 3. (iii)
Furthermore, if then
[TABLE]
Remark 1.2**.**
- (i)
We would like to prove an estimate , or to discover that it does not necessarily hold. 2. (ii)
We marginally improved our estimate (of the previous version) using [Ivr3]. We also added Statement (iii).
Plan of the paper. In Section 2 we prove a more subtle version of the main estimate of [HHT]. In Section 3 we provide upper estimates and asymptotics of integrated over small balls. In Section 4 we study energy of electron-to-electron interaction (it involves a two-point correlation function) and in Section 5 we prove upper estimates for .
Chapter 2 Main intermediate inequality
We start from the main intermediate equality.
Proposition 2.1**.**
Let be an eigenfunction of with an eigenvalue . Let be a real-valued spherically symmetric function. Then
[TABLE]
where
[TABLE]
is an operator in the auxiliary space with an inner product , and .
Proof.
Let us consider as a function of with values in the auxiliary space , and and let where are spherical coordinates in . Then similar to (9) of [HHT]
[TABLE]
and since , the first term on the right is equal to
[TABLE]
because , where is the rest of multiparticle Hamiltonian (including ) and we integrated by parts.
The first term in the latter formula is a corresponding term in [HHT], albeit truncated with , and we have new terms
[TABLE]
Integrating by parts the first term we get
[TABLE]
where the first term cancels with the second term in (2.4), while the second term integrates by parts one more time resulting in the last term in (2.1). ∎
Applying (2.1) to our problem, and using skew-symmetry of , we get
[TABLE]
Symmetrizing the second term with respect to and we instead of the product of two indicated factors will get
[TABLE]
with the big parenthesis on the first line equal to
[TABLE]
One can see that the former is negative, and the latter, multiplied by \bigl{(}\phi(|x_{1}|)-\phi(|x_{2}|)\bigr{)}, is non-negative if is non-decreasing function. Let us shift the origin to point and observe that the first term in (2.5) is equal to
[TABLE]
Consider first case . Then we get
[TABLE]
Indeed, the second term in the right-hand expression of (2.5) is non-positive due to above analysis analysis, so is the third term, and the fourth term vanishes while the first term does not exceed the right-hand expression
Applying Proposition 3.1 below we arrive to the following estimate
[TABLE]
In the general case we arrive to
Proposition 2.2**.**
In the framework of Proposition 2.1
[TABLE]
where
[TABLE]
is a two-point correlation function.
Recall that
[TABLE]
Remark 2.3**.**
- (i)
Inequality (2.9) for and is the main result of [HHT]. Our main achievement so far is an introduction of the truncation . However it brings three new terms in the right-hand expression of the estimate. 2. (ii)
Estimate (2.10) (with a specified albeit not sharp constant) was proven in [S1] for . 3. (iii)
This estimate definitely has a correct magnitude as and .
Chapter 3 Estimates of the averaged electronic density
We will need the following estimate (LABEL:strongscott-eqn-3.3) from [Ivr2]:
[TABLE]
with , for and for .
First, we use this estimate in the very rough form:
Proposition 3.1**.**
The following estimate holds:
[TABLE]
Proof.
Let , be cut-off functions, in , in , , . Then
[TABLE]
Using the semiclassical methods of [Ivr1], Section LABEL:monsterbook-sect-25-4 in the simplest form, we conclude that for the second term on the right (with an opposite sign) could be replaced by its Weyl approximation
[TABLE]
with an error not exceeding where here and below . The same is true for . One can see easily that the difference between expression (3.4) and the same expression for does not exceed
[TABLE]
which does not exceed .
Consider the first term in the right-hand expression of (3.3). Using variational methods of [Ivr1], Section LABEL:monsterbook-sect-9-1 we can reduce it to the analysis of the same operator in with the Dirichlet boundary conditions on . Observing that eigenvalue counting function for such operator is (for sufficiently small), we conclude that the first term in (3.3) also does not exceed . Estimate (3.2) has been proven. ∎
Let us return to (3.1) and consider where is a fixed point with
[TABLE]
and , , . We assume that
[TABLE]
with , , where the last inequality allows us to apply semiclassical methods. Consider with
[TABLE]
and apply semi-classical method to the right-hand expression. Then we get
[TABLE]
Indeed, factor is and therefore the semiclassical error is since the effective semiclassical parameter is . Observe that the principal part in the right-hand expression does is .
Then after division by (3.1) becomes
[TABLE]
Replacing by in this inequality and minimizing by we arrive to the first statement of the following proposition:
Proposition 3.2**.**
- (i)
Under assumptions (3.6)–(3.8)**
[TABLE] 2. (ii)
Further,
[TABLE] 3. (iii)
Furthermore, if then
[TABLE]
To prove the second statement, we consider (without restriction ); then instead of (3.11) we have
[TABLE]
and we optimize it by .
The third statement follows from the same arguments and the fact that recall that for and therefore (3.15) holds without the first term in the right-hand expression.
Chapter 4 Estimates of the correlation function
We will need the following Proposition LABEL:monsterbook-prop-25-5-1 from [Ivr1] (first proven in [RS]):
Proposition 4.1**.**
Let , such that
[TABLE]
Let and
[TABLE]
with
[TABLE]
respectively and arbitrary .
We cannot apply it directly to estimate the second to the last term in (2.11) because of singularities. Let us consider
[TABLE]
Let us make an -admissible partition of unity in with -admissible . We set if . Let us consider first
[TABLE]
in the case of and having disjoint supports. Without any loss of the generality we can consider , where subscripts are referring to supports of , respectively.
Let and
[TABLE]
where which are -admissible and equal in the -vicinity of . Then and for in virtue of Proposition 3.2 1)1)1) Indeed, .
[TABLE]
where is the distance between supports of and . Then the right-hand expression of (4.2) is
[TABLE]
and minimizing by we get
[TABLE]
Observe that all powers of are negative. Therefore summation over all elements of -partition results in the same expression albeit with replaced by :
[TABLE]
For we have and all powers are positive with the exception of one term, where the power is [math], and for we have and all powers are negative. Therefore summation over all elements of -partition results in the same expression albeit with , , with the exception of one term which gains a logarithmic factor. We get . Then
[TABLE]
with summation over indicated pairs of elements of the partition (disjoint, with ).
Let us prove that
Claim 1**.**
Estimate (4.12) also holds with replaced by and therefore it holds for a sum over paits of elements with .
Indeed, in virtue of the proof of Proposition 3.2 (before minimizing by ) the error
[TABLE]
on each pair of elements does not exceed with all powers of positive for and negative for . Then summation with respect to -partition (recall, that ) results in
[TABLE]
with the first line corresponding to , and the second line corresponding to , .
Powers of are positive for and negative for , and summation with respect to -partition results in the value as , , which is
[TABLE]
Minimizing by we conclude that the sum of expressions (1) over required pairs does not exceed , which in turn implies (4.12).
Consider now the case when supports of elements are not disjoint. Then we take
[TABLE]
with smooth function, equal [math] at and at ; will be selected later2)2)2) Since in this case and we skip subscripts.. Then while (4.10) is preserved, (4.11) should be replaced by
[TABLE]
Then the right-hand expression (4.2) is
[TABLE]
and minimizing by we get
[TABLE]
Note that summation of (4.16) over partition returns its value as , namely, .
Consider for zone and make there -admissible subpartition with respect to , . Then contribution of each pair of subelements to
[TABLE]
Then summation over returns
[TABLE]
Minimizing by we get C\bigl{(}Z^{2}+s^{-1/2}Z^{11/6-\delta}\bigr{)}.
On the other hand,
[TABLE]
and summation over returns its value at , which is , but summation over returns . To remedy this we replace for constant by with small . It will not affect our previous estimates.
Consider the sum of these three right-hand expressions
[TABLE]
and minimize it by ; we get achieved as .
Since we want we finally set
[TABLE]
Observe that
[TABLE]
Therefore
[TABLE]
However we know that (see, f.e. Section LABEL:monsterbook-sect-25-2 of [Ivr1] )
[TABLE]
with , , . Then
[TABLE]
Combining with (4.21) we conclude that
[TABLE]
for .
Chapter 5 Proof of Theorem 1.1
Now in the last two terms
[TABLE]
The largest error comes from the first term when integral is taken over and in virtue of of (4.25) it does not exceed , all other errors are lesser (to prove it we need just to repeat arguments of the previous section).
Observe that for the largest contribution to the integral in (5.2) comes from the layer and it is of magnitude . On the other hand, for the largest contribution to the integral in (5.1) comes from the layer and it is of magnitude ; the first term in (5.1) is smaller.
Therefore we estimate two last terms in (2.11) by
[TABLE]
Consider the second term in (2.11):
[TABLE]
and one can see easily that (5.4) does not exceed 3)3)3)Indeed, it suffices to take a half-sum of the integrand in (5.4) with its value at symmetric about point, because both and satisfy ..
To estimate (5.5) we make a partition in with subelements supported in the layers with and in with . According to (3.12) the contribution of each layer does not exceed CZ\ell^{-2}\bigl{(}\zeta^{2}t^{\prime 2}+\zeta^{-2}Z^{5/3-\delta}\bigr{)} and summation over layers returns its value as , with acquiring logarithmic factor with we compensate by decreasing :
[TABLE]
Meanwhile, contribution of the ball into (5.5) does not exceed and to estimate it we use Theorem LABEL:elden2-thm-1.1 of [Ivr3] with and :
[TABLE]
Therefore (2.11) implies
[TABLE]
where only first line depends on . One can see easily that the third term in the first line does not exceed the sum of two first terms. Further, the second term there is larger than which is larger than as and since we already have an estimate (2.10), we should consider only . Furthermore, .
Finally, optimizing remaining two terms in the first line of (5.8) by , we get
[TABLE]
Let us compare terms there.
- (i)
Let . Then one can see easily that the first line is defined by the third term for and by the first term, which is , for .
One can see easily that the first term in the second line of (5.9) is smaller than . Using the first case in (5.7) with and , we see that the second term in the second line is smaller than the first line as well. Thus we arrive to Theorem 1.1, Statement (i). 2. (ii)
Let . Then one can see easily that the first line of (5.9) is defined by the first term, which is for and by for .
Consider the second line and impose condition . Then the first line dominates the first term here. Using the second case in (5.7) with and , we see that the first line dominates the last term in the second line as well.
Further, let . Recall that the second line (except ) was a result of the estimate of the second term in (2.11), which, however, could be estimated by
[TABLE]
It is well known that and therefore (5.10) does not exceed which covers .
Furthermore, in the remaining range we can use Proposition 3.2(ii) to show, that the first term in the second line does not exceed while the second term there is estimated again by the second case in (5.7). Thus we arrive to Theorem 1.1, Statement (ii). 3. (iii)
Finally, using Proposition 3.2(iii) we prove Theorem 1.1, Statement (iii).
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