Lieb-Thirring inequality with semiclassical constant and gradient error term
Phan Th\`anh Nam

TL;DR
This paper improves the Lieb-Thirring inequality by establishing a lower bound on kinetic energy that matches the semiclassical constant and includes a lower-order gradient error term, advancing understanding of fermionic energy bounds.
Contribution
The authors prove an improved Lieb-Thirring inequality with the semiclassical constant and a lower-order gradient error term, addressing a long-standing open problem.
Findings
Established a lower bound matching the semiclassical constant
Introduced a gradient error term of lower order
Enhanced the understanding of kinetic energy bounds for fermions
Abstract
In 1975, Lieb and Thirring derived a semiclassical lower bound on the kinetic energy for fermions, which agrees with the Thomas-Fermi approximation up to a constant factor. Whenever the optimal constant in their bound coincides with the semiclassical one is a long-standing open question. We prove an improved bound with the semiclassical constant and a gradient error term which is of lower order.
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Lieb-Thirring inequality with semiclassical constant and gradient error term
Phan Thành Nam
Department of Mathematics and Statistics, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
Abstract.
In 1975, Lieb and Thirring derived a semiclassical lower bound on the kinetic energy for fermions, which agrees with the Thomas-Fermi approximation up to a constant factor. Whenever the optimal constant in their bound coincides with the semiclassical one is a long-standing open question. We prove an improved bound with the semiclassical constant and a gradient error term which is of lower order.
An important consequence of the Pauli exclusion principle is the fact that the kinetic energy of fermions increases much faster than the number of particles. In fact, a simple calculation shows that the lowest kinetic energy of identical fermions confined in a unit volume in is nearly at leading order of large. Here
[TABLE]
is the semiclassical constant, with the number of spin states ( for electrons) and the volume of the unit ball in . In general, the semiclassical approximation of the kinetic energy of fermions in is
[TABLE]
where is the one-body density matrix of the system, which is a trace class operator on satisfying , and is the one-body density. The approximation (2) has been used widely in the Thomas-Fermi and related density-functional theories [12].
In 1975, Lieb and Thirring [14, 15] derived the rigorous lower bound
[TABLE]
for all one-body density matrices , with a universal constant . Whenever (3) still holds true with replaced by (when ) is a long-standing open question. Currently, the best justified constant for is [3]. See also [10] for a numerical investigation.
In this note, we will derive an improved version of (3) with the semiclassical constant and an error term of lower order.
Theorem**.**
If is a trace class operator on satisfying , then for all ,
[TABLE]
Here is a universal constant depending only on the dimension.
Note that our bound (4) implies the Lieb-Thirring inequality (3) (with a non-sharp constant) by means of the Hoffmann-Ostenhof inequality [20]
[TABLE]
In most of physically interesting situations, the gradient term on the right side of (5) is much smaller than the kinetic energy. For example, at the ground state of ideal (i.e. non-interacting) fermions in a fixed volume, the gradient term is proportional to while the kinetic energy grows as when becomes large.
In principle, the gradient term corresponds to the uncertainty principle which is essentially a one-body effect, while the semiclassical term captures the exclusion principle which is a truly many-body effect. The gradient terms have also appeared in recent improvements of the Lieb-Oxford estimate on Coulomb exchange energy [1, 9].
When , the optimal value of in (3) is expected to be where is the best constant in Sobolev’s inequality (a special case of (3) when is a rank-one projection)
[TABLE]
By contrast, our bound (4) holds for all dimensions .
The original proof of the Lieb-Thirring inequality (3) in [14, 15] is based on its dual version
[TABLE]
with
[TABLE]
Here and the left side of (7) is the sum of all negative eigenvalues of the Schrödinger operator . The eigenvalue bound (7) has its own interest and admits several generalizations; see e.g. [13, Chapter 12] for further discussions. Unfortunately, this duality argument does not seem to apply to (4).
In 2011, Rumin found an elegant, direct proof of (3). His ideas have been used to derive a positive density analogue of (3) in [6] and to provide a short proof of the Cwikel-Lieb-Rozenblum (CLR) bound in [5].
Recently, Lundholm and Solovej [18] found another direct proof of (3). Their key observation is that (3) can be derived from a local version of the exclusion principle, which goes back to the first proof of the stability of matter by Dyson and Lenard [4] (the second proof of the stability of matter was given by Lieb and Thirring [14] by means of their inequality (3)). This approach has been used to prove Lieb-Thirring type inequalities for particles with fractional (anyon) statistics [18, 19], for particles with point interactions [7] and for bosonic systems with homogeneous interactions [17, 16].
Inspired by [18, 7, 17, 16], we also use a localization argument to prove (4). Our new observation is that locally the density is close to a constant and the local contribution of the kinetic energy can be estimated by the sum of eigenvalues of Laplacian on a domain. This simplification allows us to recover the semiclassical constant, by means of a variant of the Berezin-Li-Yau inequality [2, 11]. The error of the localization procedure, which essentially comes from the uncertainty principle, can be controlled by the gradient term. The details are given below.
Proof of Theorem. First, by a convexity argument, it suffices to consider the case . We will denote by a universal constant depending only on the dimension. The proof is divided into 3 steps.
Step 1. By a density argument, it suffices to consider the case when has compact support. We cover the support of by a family of (finitely many) disjoint cubes , whose construction will be specified later.
Since is a trace class operator, it admits the spectral decomposition
[TABLE]
where is an orthonormal family in and . Then
[TABLE]
Let us show that for every cube ,
[TABLE]
If , then (10) becomes trivial since the right side is negative with . Therefore, we can assume . The left side of (10) can be rewritten as , where is the Neumann Laplacian on and (with the indicator/characteristic function of ). Using and explicit eigenvalues of the Neumann Laplacian on a cube, we can estimate
[TABLE]
for all . Here recall that and we distinguished from . By the Berezin-Li-Yau inequality [2, 11] for the sum of Dirichlet eigenvalues (with being related to as in (8))
[TABLE]
we obtain
[TABLE]
for all . Optimizing over leads to (10) (the contribution of with is small because ).
Note that (10) is essentially equivalent to a Weyl asymptotic estimate on the sum of Neumann eigenvalues on a cube; see [8] for related results.
From (9) and (10), it follows that
[TABLE]
Step 2. We show that for every , it is possible to choose the cubes such that
[TABLE]
and
[TABLE]
The construction of the cubes is similar to [16, Lemma 9]: first we cover the support of by a big cube, then divide it into sub-cubes of half side length; if the integral of on any sub-cube is still bigger than , then we continue dividing this sub-cube into (sub-) sub-cubes of half side length and repeat the procedure. After finitely many steps, we obtain a collection of disjoint sub-cubes satisfying (12). Moreover, we can distribute the sub-cube into disjoint groups such that in each group:
(i) The integral of over the union of the smallest sub-cubes is ;
(ii) There are at most sub-cubes of every given size.
Consider an arbitrary group . Let be the volume of the smallest sub-cubes in . Then the volumes of all sub-cubes in are with and there are at most sub-cubes for each . We have
[TABLE]
Thus, with ,
[TABLE]
Summing over all groups leads to (13). From (11) and (13), it follows that
[TABLE]
Step 3. To conclude, let us show that
[TABLE]
for every . Denote
[TABLE]
For all , by Hölder’s inequality
[TABLE]
with , we can write
[TABLE]
Next, integrate the latter estimate over , then use Hölder’s inequality
[TABLE]
for the left side and the Poincaré-Sobolev inequality [13, Theorems 8.12]
[TABLE]
for the right side. All this leads to (Lieb-Thirring inequality with semiclassical constant and gradient error term) as .
Finally, insert (Lieb-Thirring inequality with semiclassical constant and gradient error term) into (14) and use (12). We obtain
[TABLE]
for all and . Choosing , we get
[TABLE]
for all .
If , then and the right side of (16) is negative. If , then the right side of (16) is negative when because of (6). Therefore, (16) holds true for all . It is equivalent to (4) and the proof is complete. ∎
Finally, let us remark that our proof of (4) is very general and it could be generalized in many other situations as soon as one has a Weyl asymptotic estimate on cubes.
Acknowledgement. I thank Simon Larson and Douglas Lundholm for helpful comments.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 3[3] J. Dolbeault, A. Laptev, and M. Loss, Lieb-Thirring inequalities with improved constants, J. Eur. Math. Soc. 10 (2008), 1121-1126.
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- 6[6] R. L. Frank, M. Lewin, E.H. Lieb and R. Seiringer, A positive density analogue of the Lieb-Thirring inequality. Duke Math. J. 162 (2013), no. 3, 435-495
- 7[7] R. L. Frank and R. Seiringer, Lieb-Thirring inequality for a model of particles with point interactions, J. Math. Phys., 53 (2012), 095201.
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