A constrained optimization problem in quantum statistical physics
Romain Duboscq (INSA Toulouse), Olivier Pinaud (CSU)

TL;DR
This paper investigates a local constrained optimization problem in quantum statistical physics, characterizing the minimizer as a solution to a nonlinear self-consistent equation, with implications for quantum hydrodynamical models.
Contribution
It introduces a novel local particle density constraint in quantum free energy minimization and characterizes the resulting minimizer through a self-consistent nonlinear problem.
Findings
Characterization of the quantum free energy minimizer.
Solution to a nonlinear self-consistent equation.
Addresses local constraints in quantum statistical models.
Abstract
In this paper, we consider the problem of minimizing quantum free energies under the constraint that the density of particles is fixed at each point of Rd, for any d 1. We are more particularly interested in the characterization of the minimizer, which is a self-adjoint nonnegative trace class operator, and will show that it is solution to a nonlinear self-consistent problem. This question of deriving quantum statistical equilibria is at the heart of the quantum hydrody-namical models introduced by Degond and Ringhofer. An original feature of the problem is the local nature of constraint, i.e. it depends on position, while more classical models consider the total number of particles in the system to be fixed. This raises difficulties in the derivation of the Euler-Lagrange equations and in the characterization of the minimizer, which are tackled in part by a careful…
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A constrained optimization problem in quantum statistical physics
Romain Duboscq [email protected]
Institut de Mathématiques de Toulouse ; UMR5219
Université de Toulouse ; CNRS
INSA, F-31077 Toulouse, France
Olivier Pinaud [email protected]
Department of Mathematics, Colorado State University
Fort Collins CO, 80523
Abstract
In this paper, we consider the problem of minimizing quantum free energies under the constraint that the density of particles is fixed at each point of , for any . We are more particularly interested in the characterization of the minimizer, which is a self-adjoint nonnegative trace class operator, and will show that it is solution to a nonlinear self-consistent problem. This question of deriving quantum statistical equilibria is at the heart of the quantum hydrodynamical models introduced by Degond and Ringhofer in [4]. An original feature of the problem is the local nature of constraint, i.e. it depends on position, while more classical models consider the total number of particles in the system to be fixed. This raises difficulties in the derivation of the Euler-Lagrange equations and in the characterization of the minimizer, which are tackled in part by a careful parametrization of the feasible set.
1 Introduction
This work is concerned with the minimization of quantum free energies of the form
[TABLE]
where is a density operator, i.e. a self-adjoint, trace class, and nonnegative operator on some Hilbert space, is a given Hamiltonian, the temperature, denotes the operator trace, and is an entropy function, for instance the Boltzmann or the Fermi-Dirac entropy. The free energy is minimized under a constraint of local density, namely the density of particles is prescribed at each point of space: if is the integral kernel associated with the operator , then the local density, defined as , is fixed and equal to a given function.
The problem considered here is the building block of the quantum hydrodynamical models introduced by Degond et al in [4]. Their strategy consists in adapting to the quantum setting the moments closure method by entropy minimization that was developed by Levermore in the context of kinetic equations [10]. This requires the construction of quantum statistical equilibra, which are obtained by minimizing under appropriate constraints. We focus in this work on the local density constraint (i.e. the zero order moment of ) explicited above, which leads to the so-called quantum drift-diffusion model, see [2]. Different models can be obtained by considering additional constraints, in particular the local current and energy constraints (first and second order moments), which lead to the quantum Euler or quantum Navier-Stokes equations. We refer to [3, 1] for more details. See also e.g. [7, 9, 8] for additional references on quantum hydrodynamics.
At the mathematical level, it is proved in [12], for defined on , with and a given potential, that , with the Boltzmann or the Fermi-Dirac entropy, admits a unique minimizer under the constraint , where is nonnegative and verifies
[TABLE]
The first condition above is necessary for the energy to be finite (i.e. the first term in the definition of ). The second condition is not crucial and can be modified. The proof is based on compactness and convexity methods. An important ingredient is a logarithmic Sobolev inequality for systems that yields a bound from below for the free energy. This requires the third condition in (2), which prevents leakage of particles at the infinity. Without this condition, the free energy is not bounded below and the minimization problem does not admit a solution. The reference [12] addresses in addition a local current constraint, while (local) density, current and energy constraints are considered in [6] in a one-dimensional setting in a bounded (periodic) domain. The energy constraint is difficult to handle in that there is no sufficient compactness on the minimizing sequences to directly pass to the limit in the constraint, and one has to resort to subtle monotonicity arguments inspired by thermodynamics to conclude.
Knowing from [12] that a minimizer exists and is unique, we are interested in this work in its characterization. This is actually a quite more difficult problem than just establishing well-posedness. Formal calculations, performed e.g. in [3] in the case of the Boltzmann entropy and when , yield that the minimizer satisfies the following self-consistent relation
[TABLE]
where is an Hamiltonian of the form
[TABLE]
Above, and are respectively the local entropy and local kinetic energy, defined by
[TABLE]
where and are the eigenvalues and the eigenvectors of . Throughout the paper, the eigenvalues are counted with multiplicity and form a nonincreasing nonnegative sequence that accumulates at zero. At this stage, the kernel of could be zero, finite, or infinite, but we will prove that it is actually zero. The solution obtained in (3) is referred to in [3] as the “quantum Maxwellian”, and is the chemical potential. In [11], in a periodic one-dimensional domain , it is proved under the assumptions that is uniformly bounded from below, i.e. a.e., and that , that the Hamiltonian is self-adjoint in the sense of quadratic forms. This is possible since the hypotheses (2) on eventually lead to , which, in one dimension only in general, allows one to define in the sense of quadratic forms. In the case where the spatial domain is , the condition is not compatible with , and even if we had , this is in general too low a regularity to construct a self-adjoint operator using classical results such as the KLMN theorem [14] for instance. One of the main difficulties is therefore to give a proper meaning for (3) for the low regularity self-consistent potential . One could consider adding regularity conditions on for instance, but on the one hand it is unclear how this improves the regularity of the self-consistent terms and , and on the other any additional assumptions to (2) are not natural since they are not necessary for the existence theory.
The main result of this work is to rigorously define (3) under the minimal assumptions (2). We will characterize and and show they are obtained by minimizing an appropriate quadratic form whose closure is . The method of proof is based on a proper rewriting of the chemical potential and on exploiting the obtained particular form. While a potential with a regularity as low as that of would not in general lead to a self-adjoint operator, it is the distinct structure of inherited from the minimization problem that allows us to justify (3).
The article is structured as follows: we present our main result in Section 2; the proof is broken down into several parts in Section 3, and the proofs of some technical lemmas are given in Section 4.
Acknowledgments.
OP’s work is supported by NSF CAREER Grant DMS-1452349.
2 Main result
We start by introducing some notation.
Notation.
We write for the inner product on , with the convention , and for the corresponding norm. The free Hamiltonian is denoted by , equipped with the domain . is the space of bounded operators on , is the space of trace class operators and the space of Hilbert-Schmidt operators, both on . In the sequel, we will refer to a density operator as a self-adjoint, trace class, nonnegative operator on . For , we introduce the following space:
[TABLE]
where denotes the extension of the operator to . We will drop the extension sign in the sequel to ease notation. The space is a Banach space when endowed with the norm
[TABLE]
where denotes the operator trace. Finally, the energy space is the following closed convex subspace of :
[TABLE]
The local kinetic energy of is defined by
[TABLE]
where the series converges in and and are the eigenvalues and eigenvectors of .
Setting of the problem.
The local density constraint is defined in a different, more convenient form than the one given in the introduction as follows: let be a density operator; for any function , and identifying a function with its associated multiplication operator, the density is uniquely defined by duality by
[TABLE]
A familiar equivalent expression is
[TABLE]
where the series converges in . Given a nonnegative function satisfying (2), the admissible set is then
[TABLE]
The kinetic energy and the entropy of are denoted by
[TABLE]
where is the Boltzmann entropy . We will state and prove our main result for such a , and explain why it directly extends to the Fermi-Dirac entropy for instance. Setting to simplify notation, we write and consider the minimization problem
[TABLE]
It is proven in [12] that there exists a unique solution to (6), that we characterize in our main result further. Before stating it, we need to introduce a few more notations. Consider the nonnegative potential
[TABLE]
where a series expression of is given in (4). Note that is nonnegative since the eigenvalues of are less than one since . Since , and we will see later that , the potential is only in . We then define the following weighted Sobolev space
[TABLE]
which is complete as a closed subspace of . Furthermore, let be the quadratic form
[TABLE]
where is the local kinetic energy defined in (4). It is not clear at this point that is indeed well defined on . For this, we will see on the one hand that, and this is a consequence of the fact that is the minimizer of ,
[TABLE]
and on the other, after a short calculation, that
[TABLE]
which explains why is well defined on using the Cauchy-Schwarz inequality. We will write for . Let finally be defined by
[TABLE]
where we recall that is the nonnegative and nonincreasing sequence of eigenvalues of and its eigenvectors, which form an orthonormal basis of . The space is a Hilbert space when equipped with the inner product
[TABLE]
Note that is well defined since we will see that for all , and that is the domain of self-adjointness of .
We state now our main result.
Theorem 2.1
Let be the unique solution to the minimization problem (6) with the constraint satisfying (2), and denote by and the eigenvalues and eigenfunctions of . Then is full rank, i.e. for all , and
[TABLE]
where
[TABLE]
with the convention that . Moreover, denoting by the restriction of to span, we have that is densely defined and closable, and that is the unique self-adjoint operator associated with the closure . Finally, .
Let us make a few remarks. The self-consistent eigenvalue problem (7) is the rigorous formulation of (3). Also, while the form obtained by setting in can be shown to be closed in , and is therefore associated to a self-adjoint operator, we do not know if is closed in . This is because is negative and is only in , and there does not seem to be a way to consider the term involving as a perturbation of with such a low regularity. We obtain though that is positive, and that it is closable when defined on a dense, smaller set than . Note that since , and that is an orthonormal basis of , the set is dense in .
Theorem 2.1 can be directly generalized to the Fermi-Dirac entropy , . The Boltzmann and Fermi-Dirac entropies share indeed the same technical difficulties, in particular the fact that the eigenvalues of accumulate at zero. The Fermi-Dirac entropy has another singularity at , which is not an issue since there is only a finite number of eigenvalues arbitrarily close to one.
Strategy of proof.
One of the main difficulties is to construct admissible directions in order to derive the Euler-Lagrange equations. For , we will choose operators of the form (with the Dirac bra-ket notation)
[TABLE]
where . An issue here is to make sure that is nonnegative. This is true for any when , but is false if , leading only to an inequality when in the Euler-Lagrange equations and not to an equality. We will use this inequality to prove an important estimate in the derivation of (7) and to obtain that is full rank. We will then replace by , which will allow us to work with negative and sufficiently small to obtain the Euler-Lagrange equations as an equality. Note that it is tempting to use operators of the form for appropriate since positivity is ensured, but this does not eventually bring more information.
Another important fact is to realize that can be written as
[TABLE]
where the first term is called the Bohm potential, and can be absorbed into the Laplacian leading to
[TABLE]
It then not necessary to have some regularity on , and the hypotheses (2) are sufficient.
3 Proof of Theorem 2.1
The proof is divided into four parts. In the first one, we obtain important results about the differentiability (in appropriate directions) of the functional . In the second part, we prove that the minimizer is full rank. In the third part, we derive the crucial relation , while we conclude the proof in the fourth part.
Throughout this section, we will use the following notations. For , denotes the rank-one projector . For , we consider perturbations of the minimizer of the form , and introduce the local density
[TABLE]
as well as
[TABLE]
The operator is designed to belong to the admissible set . Consider finally the weight
[TABLE]
and introduce the space
[TABLE]
Note that we actually have , but this fact is unknown at this stage. We will need the following logarithmic Sobolev for systems proved in [5, Corollary 18], which holds for any such that :
[TABLE]
Above, denotes the set of eigenvalues of and its kinetic energy. Since for any admissible and for , this inequality shows that the entropy of an admissible density operator is indeed well-defined as
[TABLE]
Above, we used that and .
3.1 Preliminary results
For , consider the quadratic form
[TABLE]
with the notation . Note that it follows from the Cauchy-Schwarz inequality for the first term on the right above that is indeed well defined on . The first lemma below pertains to the kinetic energy , and is proven in section 4.1.
Lemma 3.1
Suppose . Then, for all , belongs to the admissible set . Moreover, with
[TABLE]
We then consider the entropy for which we will need the next lemma.
Lemma 3.2
Let with a.e. for some . Then, .
Because of the singularity of at and of the particular form of , it is difficult to justify some calculations that directly involve . We therefore need to regularize and introduce, for and ,
[TABLE]
and define
[TABLE]
Note that
[TABLE]
since is an increasing function. We then obtain the following lemma.
Lemma 3.3
Let with a.e. for some constant . Then , and for all ,
[TABLE]
where is a nonnegative function independent of and that goes to zero as . Moreover,
[TABLE]
Proof. That is a direct consequence of Lemma 3.2 and that, according to [11, Lemma 5.3], is differentiable at any nonnegative density operator in any direction , with . Regarding (13), we have first, thanks to (12), . We now show that as . Set , then for . Then, by Fatou’s lemma for series and (12),
[TABLE]
which yields the desired result. Then, with and , we have
[TABLE]
which proves (13). Finally,
[TABLE]
where . Above, we used the cyclicity of the trace and , which proves (14).
Remark 3.4
Note that both terms in (14) are finite since and are trace class, is bounded, and by assumption.
3.2 The minimizer is full rank
We have the following proposition.
Proposition 3.5
The minimizer is full rank, that is for all .
Proof. We prove the result by contradiction, in the spirit of [11], section 5, by differentiating in a direction related to a nonzero eigenfunction in the kernel of . Compared to [11], there are complications though since on the one hand, there is the additional term in (13) that needs to be handled carefully, and on the other admissible directions do not admit as simple expressions as in [11].
Step 1: Assume first that the kernel of is not , and consider an orthonormal basis of ( may be empty, finite or infinite, and we write for its cardinal). Then, we denote by the nonincreasing sequence of nonzero eigenvalues of (here is finite or not), associated to the orthonormal family of eigenfunctions . We thus obtain a Hilbert basis of . Pick then for instance , that we denote for simplicity by . Having little information about its regularity (we only know it is in ), we need to regularize it in order to apply Lemmas 3.1 and 3.3. Let then , where and in . We verify that . First of all,
[TABLE]
which is finite thanks to (9) and the fact that . Moreover, we have
[TABLE]
leading to the estimate
[TABLE]
This yields . Note that we also have . Consider now
[TABLE]
where
[TABLE]
According to Lemma 3.1, is admissible and . As a consequence, in as . Adapting Lemma 3.7 further, item (iv), we can choose the eigenbasis of and that of in such a way that the eigenvectors converge to one another in as . We then pick to be this very basis for , and we denote by that of ( can be finite or not). Let be the eigenvalues associated with . We suppose that is the eigenvector of converging to , and we denote for simplicity . As a consequence, adapting Lemma 3.7 (iii) yields as , which we will use below.
Step 2: According to (14), we find
[TABLE]
Let the set of indices such that for . Then, since for , and since for ,
[TABLE]
Moreover, since , since for all , and on , and is decreasing on , we find
[TABLE]
Choosing , we then obtain, since ,
[TABLE]
The bound for shows that the second term on the right can be bounded by . Regarding the third term, the logarithmic Sobolev inequality (8) yields, since according to Lemma 3.1,
[TABLE]
For any , we have therefore arrived at
[TABLE]
for another constant . Furthermore, since , there exists a constant such that
[TABLE]
Gathering the previous estimates, we find, for ,
[TABLE]
for a new constant .
Step 3: We will show that we can choose and such that the right hand side is negative. First, write
[TABLE]
Since in as , the first term on the right above converges to one and the second to zero. We then choose sufficiently small so that . Also, since
[TABLE]
there is an such that, for all ,
[TABLE]
Besides, since as , there exists such that , for all . Finally, set and sufficiently small so that
[TABLE]
and choose such that for (we recall that such a exists since as ). Then, for , since is increasing,
[TABLE]
As a consequence, using (13), for all ,
[TABLE]
which contradicts the fact that is the unique minimizer of . Hence, the kernel of is , and the proof is complete.
3.3 Euler-Lagrange equations
We prove here the relation
[TABLE]
In the previous section, we were able to use an arbitrary test function in the perturbation since we only considered positive values for . This ensured the positivity of , with the drawback of only yielding an inequality in Euler-Lagrange equations (see e.g. (23)). This was enough though to prove that the minimizer is full rank. In order to obtain an equality in the Euler-Lagrange equations, we need to consider negative values of as well, which limits the choice of the test functions since has to be positive. We will choose below test functions related to the eigenfunctions , for which the positivity of the perturbation holds.
We will need once again to regularize to justify the calculations. While we got away in the previous section with only regularizing the entropy term (this was justified by (13)), we need here to regularize as well the minimizer in order to obtain properly the Euler-Lagrange equation. Consider then the problem
[TABLE]
As (6), the above problem admits a unique solution denoted by , with eigenvalues and eigenvectors and .
Step 1: Euler-Lagrange equations for the regularized problem.
For and given, consider the operator
[TABLE]
that will be used to define a new direction of perturbation. It is not difficult to see that is positive for . It is also clear that is self-adjoint and trace class, and that . We define then
[TABLE]
The lemma below, proved in Section 4.4, shows that is in fact admissible for appropriate .
Lemma 3.6
Let . Then for any .
We want to apply Lemma 3.3 next to obtain the Euler-Lagrange equations. For this, we will see in Lemma 3.7 that as , for all . As a consequence, since for all according to Proposition 3.5, there exists such that and for all . Since , this leads to
[TABLE]
with a similar estimate for . An easy adaptation of Lemmas 3.2 and 3.3 shows then that , and that
[TABLE]
We consider now the kinetic energy term. Since , we have the relation
[TABLE]
with a similar estimate for . With (16), this shows that and belong to . Adapting Lemma 3.1 then yields
[TABLE]
Finally, since is the minimizer, the derivative of at vanishes, and we find, gathering the above results,
[TABLE]
where
[TABLE]
Note that direct calculations show that is actually equal to
[TABLE]
Replacing in the definition of by , we find that . Repeating the above procedure, we find
[TABLE]
which, together with (18), yields
[TABLE]
Note that we are able to obtain this equality since is the minimizer of , had we just regularized the entropy term we would have only obtained an inequality of the form .
Step 2: Passing to the limit.
Choose for instance for the sequence which converges to zero as . The following lemma, proved in section (4.3), lists the convergence properties of .
Lemma 3.7
Let . Then, as :
- (i)
* converges to in .*
- (ii)
* converges to in , and converges to in .*
- (iii)
, converges to , where are the eigenvalues of and those of .
- (iv)
there exist a sequence of orthonormal eigenbasis of and an orthonormal eigenbasis of such that, ,
[TABLE]
- (v)
* converges to in .*
- (vi)
* converges to in .*
Following the above lemma, we suppose that the basis of eigenvectors introduced in the previous sections is the one of item (iv). We have then the
Proposition 3.8
For all ,
[TABLE]
Note that is well defined for all since according to Proposition 3.5.
Proof. Set first and . Then, since for all , Lemma 3.7 (iii) shows that for all as . Consider now , that we split into five terms defined below, . Then, by Lemma 3.7 (iii)-(iv), as ,
[TABLE]
Furthermore,
[TABLE]
We write
[TABLE]
The second term on the right is controlled by
[TABLE]
and goes to zero as because of Lemma 3.7 (iv) and the fact that
[TABLE]
since . For the third term, we deduce from Lemma 3.7 (iii)-(iv) that there is a subsequence such that converges to a.e.. Since and belong to , and a.e. as well as a.e., we can invoke dominated convergence and obtain that the limit of the third term is zero. We have therefore obtained that converges as to the first term on the right in (3.3). The term is handled exactly as .
We treat now the term that reads
[TABLE]
According to Lemma 3.7 (ii), we can conclude that converges to strongly in , and we have, using (21),
[TABLE]
Proceeding in the same way as , with dominated convergence and (21), we find
[TABLE]
The term
[TABLE]
is treated exactly as since in according to Lemma 3.7 (vi). Finally,
[TABLE]
as an application, as earlier, of dominated convergence and (21). Gathering the different limits, we find
[TABLE]
which ends the proof since and are strictly positive according to Proposition 3.5.
An important estimate.
The next result is central in proving the eigenvalue relation (7).
Proposition 3.9
Let . Then,
[TABLE]
Proof. For and , consider the operator
[TABLE]
where
[TABLE]
We need to regularize in order to have the estimate and use Lemma 3.3. Let then . We can see that and it follows from similar computations as in (15) that
[TABLE]
which gives . Denoting by (and dropping the dependency on to ease notation) the operator for , Lemma 3.1 and (14) then yield, since is the minimizer,
[TABLE]
We will pass to the limit in the above relation. We have first
[TABLE]
Choose and such that for . Since by Lemma (3.7) (iii), we can choose sufficiently large that for . Since in , it follows that, with Lemma 3.7 (iii)-(iv),
[TABLE]
Note that is well defined according to Proposition 3.5. Then, since for , it follows from Fatou’s lemma for series that
[TABLE]
It remains now to pass to the limit in . The limit in is done in the exact same way as in the proof of Proposition 3.8, we simply use instead of (21) in order to apply dominated convergence. We then replace all terms in by their limit and treat now the term in involving . We have that is given by (15) and converges to a.e. as . With the estimate (22) and the fact that the r.h.s is in because , we can invoke dominated convergence and pass to the limit and obtain
[TABLE]
It remains to treat
[TABLE]
Using that and both a.e., together with (22) and , we can use dominated convergence to pass to the limit above and obtain the desired result. This ends the proof.
3.4 Conclusion and proof of the main theorem
We have already obtained in Proposition 3.5 that is full rank. We prove now relation (7). According to Proposition 3.9, we have, since for all ,
[TABLE]
This shows in particular that is nonnegative and as a consequence
[TABLE]
which yields that . Besides, we deduce from (24) that
[TABLE]
According to Proposition 3.8, we have , and therefore the above infimum is attained at . At any order , we have, for any ,
[TABLE]
and, according to Proposition 3.8, the infimum is attained at . This proves (7). Consider now , which is densely defined since is an orthonormal basis of . Following Proposition 3.8, we have
[TABLE]
Since is complete, this shows that is closable and that
[TABLE]
where
[TABLE]
Finally, the fact that is a consequence of Proposition 3.9. This ends the proof of the theorem.
4 Proofs of some lemmas
4.1 Proof of Lemma 3.1
Step 1: We show first that for all . It is direct to see that is nonnegative since , and that it is trace class as products of the trace class operator and the bounded multiplication operator by . It then follows that
[TABLE]
i.e. satisfies the constraint
Step 2: We want to prove that . For this, we write, by linearity of the trace,
[TABLE]
and use the following result, which is just a consequence of the definition of Hilbert-Schmidt operators:
Lemma 4.1
Let be a density operator and be a self-adjoint operator. Then if and only if .
According to [13, Theorem 6.22, item (g)], holds provided there is an othonormal basis of such that
[TABLE]
We use this result with and as follows. Noticing first that
[TABLE]
we have
[TABLE]
Above, the exchange of the integral and the summation is justified since the integrand is positive. We also used the fact that
[TABLE]
with convergence of the series in and almost everywhere. Regarding , we have
[TABLE]
which also gives
[TABLE]
Thus, we find the expression
[TABLE]
Note that it is crucial to express in terms of the moments of in order to exploit the fact that . Working directly with and as operators would make it difficult to justify the calculations leading to (11). From there, with the relation
[TABLE]
we find
[TABLE]
leading to
[TABLE]
We remark that
[TABLE]
so that for any . Since bounded by one, and are in and is in , it follows that is finite and, as a consequence, that .
Step 3: We show that is differentiable. First of all, it is clear that and are continuously differentiable as functions of , for almost all . Denote by the integrand in , which is then continuously differentiable as a function of . With the following relations
[TABLE]
tedious but straightforward calculations show that
[TABLE]
Since , the function of the r.h.s above is integrable, and standard results about Lebesgue integration imply then that .
Step 4: We consider now (11). Differentiating leads to
[TABLE]
Since
[TABLE]
we directly deduce that
[TABLE]
which is the desired result.
4.2 Proof of Lemma 3.2.
First of all, it is clear that for any and ,
[TABLE]
is bounded by one. Furthermore, we have
[TABLE]
which is bounded by a according to the assumption on . With
[TABLE]
it follows by inspection that since and are trace class and and are bounded and continuous w.r.t .
4.3 Proof of Lemma 3.7
The proof will use the following two ingredients: the first one is the logarithmic Sobolev (8), and the second is the following Lemma proved in [11, Lemma 3.1], providing us with compactness results for sequences of density operators bounded in .
Lemma 4.2
Let be a bounded sequence of . Then, up to an extraction of a subsequence, there exists such that
[TABLE]
and
[TABLE]
Furthermore, if one has
[TABLE]
then one can conclude in addition that
[TABLE]
Step 1: We start with . Let . Since , we have
[TABLE]
Besides, (12) yields . It follows from (8) and that
[TABLE]
This gives the estimate
[TABLE]
which shows that
[TABLE]
for some independent of . Together with , we can apply Lemma 4.2 and find a subsequence (recall that ) and a satisfying the convergence results of Lemma 4.2.
Step 2: We identify now with . For this, we remark first that , and therefore,
[TABLE]
Furthermore, it is proven in [12, Step 6 in Section 3], that as , and the proof can be directly adapted to yield that
[TABLE]
As a consequence, we obtain from (31) and (28) of Lemma 4.2 that
[TABLE]
which, by uniqueness of the minimizer, yields . This also implies that the entire sequence , denoted with an abuse of notation by , converges to . Then, (i) and (ii) follow from Lemma 4.2 by replacing by . Furthermore, (iii) and the first result of (iv) follow from [11, Lemma A.2].
Step 3: We address now the second result of (iv). From (30), we have
[TABLE]
which, together with (iii) and the first result of (iv), shows that converges weakly in to . In order to obtain strong convergence, we remark that, according to (ii), converges to strongly in , so that
[TABLE]
Above, we used the fact that strongly in because of the first result of (iv). Together with the weak convergence of , this proves the second result of (iv).
Step 4: Regarding (v), as stated in (32), we already have the convergence of in . With (iii) and (iv), it is then not difficult to obtain weak convergence of to in the sense of operators, which, according to [15, Theorem 2.21 and addendum H], yields the convergence in .
Step 5: Finally, for (vi), we write
[TABLE]
Since for all , we have that . Then
[TABLE]
as an application of generalized dominated convergence for series together with (iii), and for all . Hence, we have
[TABLE]
which converges to zero as according to (v). This ends the proof.
4.4 Proof of Lemma 3.6
We can see that is bounded a.e. since, for any ,
[TABLE]
This shows in particular that is trace class for , and that . Furthermore, it is positive so that is a density operator for . It remains to show that . We now follow the arguments of Step 2 of the proof of Lemma 3.1. We obtain first that
[TABLE]
Furthermore, we have
[TABLE]
leading to
[TABLE]
By using the fact that
[TABLE]
we deduce the expression
[TABLE]
Finally, since the following estimate holds for any
[TABLE]
we deduce that
[TABLE]
which enables us to bound each term of (34) since and belong to according to (17). This shows that for and concludes the proof.
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