Blow-up profile of neutron stars in the Hartree-Fock-Bogoliubov theory
Dinh-Thi Nguyen

TL;DR
This paper analyzes the gravitational collapse of neutron stars within the Hartree-Fock-Bogoliubov framework, showing that as particle number grows, the star's profile converges to a universal Lane-Emden solution near the Chandrasekhar limit.
Contribution
It establishes the universal blow-up profile of neutron stars in the Hartree-Fock-Bogoliubov theory approaching the Chandrasekhar limit.
Findings
Minimizers develop a universal blow-up profile
Profile converges to Lane-Emden solution
Results hold as particle number becomes large and gravity weakens
Abstract
We consider the gravitational collapse for neutron stars in the Hartree-Fock-Bogoliubov theory. We prove that when the number particle becomes large and the gravitational constant is small such that the attractive interaction strength approaches the Chandrasekhar limit mass slowly, the minimizers develop a universal blow-up profile. It is given by the Lane-Emden solution.
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Blow-up Profile of Neutron Stars
in the Hartree–Fock–Bogoliubov theory
Dinh-Thi Nguyen
Dinh-Thi Nguyen, Mathematisches Institut, Ludwig–Maximilians–Universität München (LMU), Theresienstrasse 39, 80333 Munich, Germany, and Munich Center for Quantum Science and Technology (MCQST), Schellingstrasse 4, 80799 Munich, Germany.
Abstract.
We consider the gravitational collapse for neutron stars in the Hartree–Fock–Bogoliubov theory. We prove that when the number particle becomes large and the gravitational constant is small such that the attractive interaction strength approaches the Chandrasekhar limit mass slowly, the minimizers develop a universal blow-up profile. It is given by the Lane–Emden solution.
Key words and phrases:
Chandrasekhar limit mass, Concentration compactness, Gravitational interaction, Hartree–Fock–Bogoliubov theory, Lane–Emden solution, Mass concentration, Minimizers, Neutron stars
2010 Mathematics Subject Classification:
81V17, 35Q55, 49J40
1. Introduction
A neutron star is a relativistic system of identical fermions in with Newtonian gravitational interaction. From the first principles of quantum mechanics, such a system is typically described by the -particle Hamiltonian
[TABLE]
acting on , the Hilbert space of square-integrable functions which are anti-symmetric under the permutations of space-spin variables ( in nature). Here is the neutron mass (we choose the unit ) and with the gravitational constant.
It is a fundamental fact that the neutron star collapses (namely is not bounded from below) if the particle number is too big, such that
[TABLE]
The critical constant was first computed by Chandrasekhar [4] using an effective semi-classical theory, and then confirmed rigorously by Lieb and Yau [28] using the many-body Schrödinger theory. In fact, is the optimal constant in the Hardy–Littlewood–Sobolev inequality
[TABLE]
where . Numerically, the proportion is about .
It is well-known (see [25, Appendix A]) that (1.2) has a minimizer which is unique up to dilations and translations. Such can be chosen uniquely to be non-negative symmetric decreasing by rearrangement inequality (see [24, Chapter 3]) and it satisfies
[TABLE]
Moreover, solves the Lane–Emden equation of order ,
[TABLE]
The Lane–Emden equation goes back to [19] (see [12, 38] for detailed studies). Note that it can be easily seen from (1.4) that has compact support (see [25, Appendix A]).
The critical value can be obtained easily from the Chandrasekhar theory, a semi-classical approximation of the full many-body theory. In this effective theory, the ground state energy of a neutron star is given by
[TABLE]
where the Chandrasekhar functional is
[TABLE]
It can be easily seen from (1.2) that if and only if .
In the seminal paper [28], Lieb and Yau proved that for any fixed , the quantum energy converges to the semi-classical energy
[TABLE]
See also [27] for an earlier related result and [6] for a recent extension to general interaction potentials.
In the present paper we are interested in the ground states of the neutron star in the critical regime, when simultaneously as . It turns out that the many-body theory is very complicated to study: the ground state does not exist due to the translation invariance, and even if we consider approximate ground states (in an appropriate sense), then their behavior is very unstable since the system can easily split into many small pieces without lowering much the energy. Therefore, it is reasonable to focus on some effective models where physical properties are easier to observe thanks to non-linear effects.
In the following, we will focus on the blow-up phenomenon of neutron stars in the Hartree–Fock–Bogoliubov (HFB) theory. This is one of the most important approximation methods in quantum mechanics, and it is a generalization of the traditional Hartree–Fock (HF) theory, taking into account all quasi-free states in Fock space. We refer to Bach, Lieb and Solovej [3] for a general discussion on the derivation of the HFB theory from many-body quantum mechanics (see also Bach, Fröhlich and Jonsson in [2] for a simplification). In this model, we study the HFB energy functional given by
[TABLE]
Here we use the subscript and the shorthand notations
[TABLE]
which we refer to as the direct term and the exchange term, respectively. The density matrix is a self-adjoint, non-negative operator on with . The pairing density matrix is a Hilbert–Schmidt operator on , i.e. , and its kernel is a -matrix which is supposed to be anti-symmetric in the sense . The set of HFB states is given by
[TABLE]
where the Sobolev-type space is defined by
[TABLE]
The HFB minimization problem then reads
[TABLE]
In the stable regime, the existence of a minimizer for the variational problem (1.9) has been proved by Lenzmann and Lewin [20]. The HFB energy is attained for , and . The finite number is provided by the asymptotic estimate as . The authors in [20] also proved that, for every , we have
[TABLE]
Thus the HFB theory captures correctly the leading order of the many-body theory. Actually, this theory is believed to be a much better approximation to the full many-body Schrödinger theory than the Chandrasekhar theory.
In this paper, we will focus on the case when and slowly and show that the HFB minimizers develop a universal blow-up profile given by the Lane–Emden solution. Our main result is
Theorem 1** (Blow-Up of HFB Minimizers).**
Let be given and suppose that . Assume that with . Then
[TABLE]
where
[TABLE]
and is the unique non-negative radial function satisfying (1.3)–(1.4). Furthermore, if is a minimizer of and , then there exist a subsequence of , still denoted by , and a sequence such that
[TABLE]
strongly in for and weakly in .
Remark 2*.*
- •
Attaining the convergence in (1.13) would require, at least with our method, to prove the Lieb–Thirring inequality with the sharp constant as conjectured in [28] (see [5] and [26, Chapter 4] for thorough discussions).
- •
The contribution of the pairing term in (1.7) is coupled by the small parameter . Therefore it does not show up in the leading order of the blow-up profile.
- •
Since the limit in (1.13) is unique, we expect that the density of the HFB minimizer is unique, at least when is sufficient large. Probably this can be proved using techniques in the ground state problem of non-linear Schrödinger functionals (see e.g. [1, 32, 7, 8]), but it seems non-trivial. We hope to come back this issue in the future.
The above result is a continuation of our work in [35] on the blow-up profile of neutron stars in the Chandrasekhar theory (1.5), which is purely semi-classical (see also [36, 33, 34, 13, 40] for discussions on the blow-up profile of boson stars). The HFB theory is believed to be much more precise than the Chandrasekhar theory, and the analysis in this case is also significantly more difficult. The proof of [35, Theorem 2] is based on a detailed analysis of the Euler–Lagrange equation associated to the minimizers for when . In this paper, our proof of Theorem 1 is based on the concentration compactness method [30, 31]. In contrast to the classical dichotomy argument, the relative compactness of the sequence of the densities of the HFB minimizers is not a consequence of the strict binding inequality, but it comes from the non-existence of minimizers in the variational problem with . By the same method, we can also extend the blow-up result in the Chandrasekhar theory to the general approximate Chandrasekhar minimizer. Finally, we remark that the blow-up phenomenon of neutron stars has also been studied in the time-dependent setting (see [11, 16, 14, 15] for rigorous results). This problem, however, is different from the ground state problem that we consider in the present paper.
Organization of the paper. In Section 2 we establish some estimates for the HFB energy via the Chandrasekhar energy, and a moment estimate for the densities of the HFB minimizers. In Section 3, we prove Theorem 1 which gives the blow-up profile of minimizers for the HFB minimization problem (1.9).
2. Energy Estimates
Since the full many-body Schrödinger theory of neutron stars is very complicated, approximate but simpler theories are often used to study the stellar collapse for neutron stars. The simplest approximate theory is the semi-classical Chandrasekhar theory (1.5). This has been rigorously derived from many-body quantum mechanics by Lieb and Yau in [28] (see also [27]). In this section, we revisit the blow-up phenomenon in the Chandrasekhar theory. Note that the kinetic energy functional in (1.6) can be calculated explicitly as follows
[TABLE]
For the reader’s convenience, we recall the following results on the existence and uniqueness of the Chandrasekhar minimizer (see [28, Theorem 3]) and the blow-up profile of neutron stars in the Chandrasekhar theory (see [35, Theorem 2]).
Theorem 3** (Existence of the Chandrasekhar Minimizer).**
Let be given and suppose that . Then the variational problem in (1.5) has the following properties.
- (i)
If then and it has a unique minimizer (up to translation). The minimizer can be chosen to be radially symmetric decreasing,
- (ii)
If then but it has no minimizer,
- (iii)
If then .
Remark 4*.*
The Chandrasekhar minimizer satisfies the Euler–Lagrange equation, for some Lagrange multiplier ,
[TABLE]
where and . This equation is equivalent to the Newtonian limit of the Tolman–Oppenheimer–Volkoff equation [39, 37].
Theorem 5** (Blow-Up of the Chandrasekhar Minimizer).**
Let be given and suppose that . Let be the unique minimizer (up to translation) of for . Then for every sequence with as , we have
[TABLE]
where is determined as in (1.12). Furthermore, there exist a subsequence of , still denoted by , and a sequence such that
[TABLE]
strongly in . Here is the unique non-negative radial function satisfying (1.3)–(1.4).
In [35], the proof of Theorem 5 is based on a detailed analysis of the Euler–Lagrange equation for the exact Chandrasekhar minimizer. This can be extended to the general approximate Chandrasekhar minimizer. The following result can be proved by adapting our arguments in the next section and the arguments in [35].
Theorem 6** (Blow-Up of the Approximate Chandrasekhar Minimizers).**
Let be given and suppose that . Let as and let be a sequence of non-negative functions such that and
[TABLE]
Then there exist a subsequence of , still denoted by , and a sequence such that
[TABLE]
strongly in . Here is determined as in (1.12) and is the unique non-negative radial function satisfying (1.3)–(1.4).
The aim of this section is to show that the HFB energy has the same asymptotic behavior as the Chandrasekhar energy in (2.2) when and slowly. We note that the operator inequality of HFB states in (1.8) holds on . This guarantees that the pair is associated to a unique quasi-free state in Fock space (see [3]). Also, it leads to the operator inequality (see [3])
[TABLE]
The basic fact refers to the Pauli exclusion principle [26, Theorem 3.2] (see also [23]).
Lemma 7** (Collapse of the HFB Energy).**
Let be given and suppose that . Let with . Then we have
[TABLE]
Proof.
We start with the lower bound. Let be a minimizer of for . Applying the Hardy–Kato inequality (see [18, 17]) in the variable with fixed and using (2.4) we obtain
[TABLE]
It follows from (2.6) and the non-negativity of the exchange term that
[TABLE]
By the arguments in [28, Proof of Theorem 1] we have
[TABLE]
where with and . We deduce from the asymptotic formula for in (2.2) that
[TABLE]
Since we have . Thus, it follows from (2.8), (2) and (2.2) that
[TABLE]
The error term is of order when with .
Now we turn to the upper bound. Again, applying the Hardy–Kato inequality (see [18, 17]) in the variable with fixed and using (2.4) we have
[TABLE]
On the other hand, for any , let be the unique minimizer (up to translation) of in (1.5). Since , one have
[TABLE]
We deduce from (2.10), (2.11) and the non-negativity of the pairing term that
[TABLE]
By choosing the trial state with , we obtain
[TABLE]
We deduce from (2), (1.2) and the asymptotic formula of in (2.2) that
[TABLE]
The error term is of order when with . ∎
We now collect a moment estimate for the densities of the HFB minimizers by using (2.14). This estimate will be useful for the proof of Theorem 1 in the next section.
Lemma 8** (Moment Estimate).**
Let be given and suppose that . Assume that with . Let be a minimizer of . Then we have
[TABLE]
Proof.
Let . For any we have
[TABLE]
Here we have used (2.14) for the first estimate and (2.8) for the last estimate. Since with , we can choose small such that . Indeed, we can choose . This implies that . Thus, (2.15) is obtained from (2.16) and the asymptotic formula for in (2.2). ∎
Remark 9*.*
It follows from (2.15) and Daubechies’ inequality [5] that
[TABLE]
3. Blow-Up of the HFB Minimizers
In this section, we prove the convergence of the sequence of the densities of the HFB minimizers in Theorem 1. We will need the following two lemmas.
Lemma 10**.**
Let be given and suppose that . Let with . Then for any positive semi-definite operator and we have
[TABLE]
Proof.
The proof of this lemma can be found in [28, Proof of Lemma B.3]. ∎
Lemma 11**.**
Let be given and let be a sequence of density matrix as a trace class operator such that the sequence converges to weakly in . Then we have
[TABLE]
Proof.
Let . For every function we write
[TABLE]
By the assumption we have and hence . We may apply the min-max principle [24, Theorem 12.1] and Weyl’s law on the sum of negative eigenvalues of Schrödinger operators (see [26, Chapter 4]) to get the following estimate
[TABLE]
On the other hand, it follows from the weak convergence in that
[TABLE]
We deduce from (3.2), (3) and (3.4) that
[TABLE]
Optimizing over leads to the desired lower bound (3.1). ∎
From now on, we will denote . Let and . Setting then is bounded uniformly in , by Remark 9. The proof of (1.13) in Theorem 1 is divided into several steps as follows.
Step 1: No vanishing. We first rule out the vanishing of the sequence . By vanishing we mean that
[TABLE]
for all . By the arguments in [30, p.124] (see also [20, 21]) we obtain
[TABLE]
On the other hand, for any such that , we have
[TABLE]
Here we have used the non-negativity of the exchange term and the estimates using (2.6), (2.15) for the pairing term. Now we recall the following energy estimate in [35, Lemma 7]
[TABLE]
where and are positive constants such that . We deduce from (3.6) and (3.7) that
[TABLE]
Here we have used the estimates for the HFB energy as in the proof of Lemma 7. Choosing with and recalling , we arrive at
[TABLE]
The last term is strictly positive for large enough. For with and sufficiently large, we infer from (3.8) that there exists a positive constant such that
[TABLE]
This contradicts (3.5). Hence vanishing does not occur.
Step 2: No dichotomy. Recall that the sequence is bounded uniformly in , by Remark 9. In this step, we assume that is not relatively compact in up to translations. To obtain the desired contradiction, we make use of the dichotomy argument [30, 31].
Lemma 12** (Strong Local Convergence).**
There exist a function with , and sequences with and such that, up to extraction of a subsequence,
[TABLE]
Proof.
We do not detail the proof of this lemma which uses concentration functions in the spirit of Lions [30, 31] as well as the strong local compactness of . For instance, a similar argument has been detailed in [10, Lemma 3.1] (see also [22, 20]). ∎
We remark that our model given by (1.7) is invariant under translations. Thus, for the rest of the proof, we may assume that the sequence of translations in Lemma 12 is given by
[TABLE]
Let be a fixed smooth function on such that for and for . Given the sequence from Lemma 12, we define the functions and . Likewise, we define the sequences and by
[TABLE]
and . We also set . The direct term is separated as follows
[TABLE]
To show that the last term in (3.10) is of order , we write
[TABLE]
Remark that and
[TABLE]
Thus, we use the Cauchy–Schwarz inequality (see [24, Theorem 9.8]) and (1.2) to obtain
[TABLE]
The last term converges to [math] as , thanks to Lemma 12 and the -boundedness of , by Remark 9.
Next, we split the kinetic energy. By using the IMS-type localization formula [29, 9] (see also [20]) and , we find that
[TABLE]
To deal with the second term on the right hand side in (3.11), we apply Lemma 10 with and . We obtain
[TABLE]
where . Using (1.2) and noticing that , we get
[TABLE]
On the other hand, we write
[TABLE]
with . Using Young’s inequality, the integral in (3.14) can be bounded by . By a simple computation we have . Combinning (3), (3.13) and (3.14) we have
[TABLE]
where we abbreviate by the error terms
[TABLE]
By Daubechies’ inequality [5] we have
[TABLE]
Hence, optimizing the last two terms in (3.16) with respect to and choosing for a suitable constant , we get
[TABLE]
Here we have used the fact that (and hence ) is bounded uniformly in and that . In summary, from (3.10)–(3.11), (3.15)–(3.18) and (2.7) we have derived the following estimate
[TABLE]
It follows from Lemma 12 that converges to weakly in and strongly in . In fact, converges to strongly in for because of -boundedness of , by Remark 9. Thus, by the Hardy–Littlewood–Sobolev inequality (see [24, Theorem 4.3]) we have
[TABLE]
On the other hand, we note that the inequality (2.4) implies the Pauli exclusion principle [26, Theorem 3.2]
[TABLE]
This property is invariant under scaling as well as under restricting on a domain. Hence we may apply Lemma 11 to the sequence together with the weak convergence in . We obtain
[TABLE]
Taking the limit in (3.19) and using (3.20), (3.21) together with the asymptotic formula for in Lemma 7 we obtain
[TABLE]
It follows from (3.22) that is a minimizer for . But this contradicts the fact that the variational problem has no minimizer for any , which is due to the positivity of the direct term (see [24, Theorem 9.8]). Hence, dichotomy does not occur.
Step 3: Conclusion. We conclude that, up to translations, the sequence is relatively compact in . Hence, there exist a subsequence of , still denoted by , and a function with such that converges to strongly in , weakly in and pointwise almost everywhere in . In fact, converges to strongly in for because of -boundedness of , by Remark 9. Applying Lemma 11 to the sequence and using the Hardy–Littlewood–Sobolev inequality (see [24, Theorem 4.3]), we obtain
[TABLE]
Here we have used the asymptotic formula for in Lemma 7 and (1.2) for the last estimate. It follows from (3.23) that is a minimizer for . In other words, is an optimizer for (1.2) with . We recall that (1.2) admits a unique (up to translations and dilations) normalized optimizer which satisfies (1.4) (after a suitable scaling). Therefore, we have
[TABLE]
for some , and for the unique non-negative radially symmetric decreasing solution to the equation (1.4). Note that . Hence, we deduce from (1.4) and (3.23) that satisfies (1.3).
We shall show that and hence . We first apply Lemma 10 with and to obtain
[TABLE]
By a simple scaling using (2.1) we have
[TABLE]
where . Now we define the function by
[TABLE]
Then we have
[TABLE]
which follows from the operator inequality
[TABLE]
Using (1.2) and noticing that we get
[TABLE]
On the other hand, we write
[TABLE]
with . Using Young’s inequality, the integral in (3.29) can be bounded by . By a simple computation we have . Combining (3.24)–(3.29) together with (2.7) we have
[TABLE]
where we abbreviate by the remainder terms
[TABLE]
By Daubechies’ inequality [5] we have
[TABLE]
Optimizing the last two terms in (3) with respect to , whence as , and choosing for a suitable constant , we get
[TABLE]
Here we have used the fact that is bounded uniformly in and that . Putting (3.30) and (3.32) together we obtain
[TABLE]
Now we note that the strong convergence in for implies the strong convergence in for . This follows from the fact that strongly in for (recall that ) and that
[TABLE]
Here we have used Minkowski’s inequality and Young’s inequality. Thus, we conclude that pointwise almost everywhere in , up to extraction of a subsequence. By Fatou’s lemma we have
[TABLE]
where . On the other hand, by the Hardy–Littlewood–Sobolev inequality (see [24, Theorem 4.3]) we have
[TABLE]
Thus, after passing to the limit in (3.33) and using the asymptotic formula for in Lemma 7 we obtain
[TABLE]
It is elementary to check that
[TABLE]
with the unique optimal value . Therefore, the equality in (3.36) must occur and hence . We thus have shown that, up to extraction of a subsequence, converges to the unique Lane–Emden solution satisfying (1.3)–(1.4). This completes the proof of Theorem 1.
Acknowledgements
The manuscript was completed when the author was visiting the Mittag–Leffler Institute for the semester program Spectral Methods in Mathematical Physics. The author would like to thank the organizers for their warm hospitality. He also thanks E. Lenzmann for helpful comments. The research received funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2111 – 390814868.
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