Abstract
We study the many body Schrödinger evolution of weakly coupled fermions interacting through a Coulomb potential. We are interested in a joint mean field and semiclassical scaling, that emerges naturally for initially confined particles. For initial data describing approximate Slater determinants, we prove convergence of the many-body evolution towards Hartree–Fock dynamics. Our result holds under a condition on the solution of the Hartree–Fock equation, that we can only show in a very special situation (translation invariant data, whose Hartree–Fock evolution is trivial), but that we expect to hold more generally.
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1 Introduction
The evolution of a system of N fermions in the mean field regime is described by the Schrödinger equation
in the limit \(N \rightarrow \infty \). Here \(\varepsilon = N^{-1/3}\) and, according to fermionic statistics, \(\psi _{N,t} \in L^2_a (\mathbb {R}^{3N})\), the subspace of \(L^2 (\mathbb {R}^{3N})\) consisting of wave functions antisymmetric with respect to permutations of the N particles.
The Schrödinger equation (1.1) is relevant for initial N particle wave functions \(\psi _{N,0} \in L^2_a (\mathbb {R}^{3N})\) localized in a volume of order one; in this case, the factor \(\varepsilon ^2\) in front of the kinetic energy guarantees that both terms in the Hamiltonian are of order N. We conclude that, for fermionic systems, the mean field regime is linked with a semiclassical limit, with \(\varepsilon = N^{-1/3}\) playing the role of Planck’s constant (notice, however, that in other situations, different scalings may be of interest; see, in particular, [4, 5, 12, 19]).
Physically, it makes sense to consider initial data approximating equilibria of confined systems. At zero temperature, this leads to the study of the mean field dynamics of approximate Slater determinants. In [8], it has been proven that this evolution can be described through the Hartree–Fock equation, for regular interaction (the same conclusion was already reached in [10], for analytic potentials and short times). The result has been extended in [9] to the case of fermions with a pseudorelativistic dispersion relation. At positive temperature, convergence towards Hartree–Fock dynamics for mixed quasi free initial data has been later established in [6].
Let us focus on the zero temperature case and explain the results of [8] in more details. Let \(\omega _N\) be a sequence of orthogonal projections on \(L^2 (\mathbb {R}^3)\) with \(\mathrm {tr}\, \omega _N = N\) and such that
The projections \(\omega _N\) are the one-particle reduced densities of N-particle Slater determinants. We consider the time evolution of initial fermionic wave functions \(\psi _N \in L^2_a (\mathbb {R}^{3N})\) with one-particle reduced density \(\gamma ^{(1)}_N\) close in the trace norm topology to \(\omega _N\). Denoting by \(\psi _{N,t}\) the solution of the Schrödinger equation (1.1) with initial data \(\psi _N\) and by \(\gamma _{N,t}^{(1)}\) the corresponding one-particle reduced density, it is shown in [8] that \(\gamma _{N,t}^{(1)}\) is close (in the Hilbert-Schmidt and in the trace class topology) to the solution of the Hartree–Fock equation
with initial data \(\omega _{N,0} = \omega _N\). Here \(\rho _t (x) = N^{-1} \omega _{N,t} (x;x)\) and the exchange operator \(X_t\) is defined by the integral kernel \(X_t (x;y) = N^{-1} V (x-y) \omega _{N,t} (x;y)\) (strictly speaking, in [8] the convergence towards the Hartree–Fock equation has only been shown for \(V_\text {ext} (x) = 0\), but it is easy to extend the result to non-vanishing smooth external fields).
In other words, the time-evolution of initial data close to a Slater determinant remains close to a Slater determinant evolved with respect to the Hartree–Fock equation (1.3). This holds provided the reduced density \(\omega _N\) of the initial Slater determinant satisfies the commutator bounds (1.2). These estimates play a crucial role in [8] to obtain convergence up to the correct time scale. They reflect the semiclassical structure of \(\omega _N\), i.e. the fact that the integral kernel \(\omega _N (x;y)\) varies on the short scale of order \(\varepsilon \) in the \(x-y\) direction, while it varies on scales of order one in the \(x+y\) direction. This structure is expected to arise in Slater determinants approximating equilibrium states.
Notice that the Hartree–Fock equation (1.3) still depends on N (recall that \(\varepsilon = N^{-1/3}\)). As \(N \rightarrow \infty \), one expects the Wigner transform
of the solution of (1.3) to converge towards a probability density \(W_{\infty ,t}\) on phase space, solving the classical Vlasov equation
Convergence of the Hartree–Fock evolution towards the Vlasov dynamics has been established in several works, see [1, 2, 16, 17], but only recently, in [7], some results have been obtained for the situation we consider here, where \(\omega _{N,t}\) is a projection. Remark also that direct convergence from the many-body quantum evolution to the Vlasov dynamics has been shown in [18] for analytic potentials and later in [21] for \(C^2\)-interactions.
The convergence towards the Hartree–Fock equation has been established in [8] for regular interaction potentials satisfying
This assumption excludes the case of a Coulomb interaction \(V(x) = 1/|x|\). The Schrödinger equation (1.1) for a Coulomb potential is very interesting from the point of view of physics. It arises naturally when considering the dynamics of large atoms and molecules. In fact the Hamilton operator for an electrically neutral atom with N electrons and a nucleus fixed at the origin is given by
and acts on the Hilbert space \(L^2_a (\mathbb {R}^{3N})\) of the N electrons. Thomas–Fermi theory suggests that electrons are localized at distances of order \(N^{-1/3}\) from the nucleus (see, for example, the review article [14]). It is therefore convenient to introduce new variables \(X_j = N^{1/3} x_j\). Expressed in terms of the new variables, the atomic Hamiltonian (1.5) takes the form
with \(\varepsilon = N^{-1/3}\). Choosing the correct time scale, we arrive exactly at the Schrödinger equation (1.1) with \(V_\text {ext} (x) = - 1/|x|\) and interaction \(V(x) = 1/|x|\). Remark that Hartree–Fock theory is known to provide a good approximation to the ground state energy of (1.6). While the classical Thomas–Fermi theory only captures the leading order of the ground state energy, which is of order \(N^{7/3}\) (see [14, 15]), Hartree–Fock theory was proven in [3, 13] to provide a much more accurate approximation, with an error of order smaller than \(N^{5/3}\).
The goal of our paper is to extend the convergence of the many-body dynamics towards the time-dependent Hartree–Fock equation to the case of a Coulomb interaction. Our results are still not completely satisfactory, in the sense that they make use of a property of the solution of the time-dependent Hartree–Fock equation (1.3) which we can only show to hold true for very special choices of the initial data. Nevertheless, we believe our results to be of some interest, since they reduce the problem of the derivation of the Hartree–Fock equation for Coulomb systems from the analysis of the many-body Schrödinger equation (1.1) to the study of the properties of the simpler Hartree–Fock equation (1.3). Notice that the time evolution of fermions interacting through a Coulomb potential has been recently considered in [4]. In this work, however, a different scaling was considered, with the N particles occupying a large volume of order N. After rescaling lengths, this choice leads to the Schrödinger equation (1.1), with short times t of order \(\varepsilon = N^{-1/3}\).
Let us now illustrate our results in a precise form. For a wave function \(\psi _N \in L^2_a (\mathbb {R}^{3N})\) we define the one-particle reduced density \(\gamma ^{(1)}_N\) as the non-negative trace class operator with integral kernel given by
Notice here that we use the standard normalization \(\mathrm {tr}\, \gamma ^{(1)}_N = N\). A simple computation shows that the reduced density of the Slater determinant
where \(\{ f_j \}_{j=1}^N\) is an orthonormal system on \(L^2 (\mathbb {R}^3)\), is given by the orthogonal projection
on the N dimensional linear space spanned by the orbitals \(\{ f_j \}_{j=1}^N\).
We consider a sequence of initial data \(\psi _N \in L^2_a (\mathbb {R}^{3N})\), which we assume close to a Slater determinant in the sense that the one-particle reduced density \(\gamma ^{(1)}_N\) associated with \(\psi _N\) satisfies \(\Vert \gamma ^{(1)}_N - \omega _N \Vert _\text {tr} \le C\), uniformly in N, for a sequence \(\omega _N\) of orthogonal projections of rank N (\(\omega _N\) is the one-particle reduced density of a Slater determinant).
Under this condition, we consider the evolution \(\psi _{N,t} = e^{-i H_N t/\varepsilon } \psi _N\) of the initial data \(\psi _N\), generated by the Coulombic Hamiltonian
To simplify the notation we assumed here that the external potential vanishes (but it is easy to extend our results to the case \(V_\text {ext} \not = 0\)).
We compare \(\psi _{N,t}\) with the Slater determinant with reduced density \(\omega _{N,t}\) given by the solution of the time-dependent Hartree–Fock equation
with the position-space density \(\rho _t (x) = N^{-1} \omega _{N,t} (x;x)\) and where \(X_t\) is the exchange operator, with the integral kernel \(X_t (x;y) = N^{-1} |x-y|^{-1}\).
As in [8], a crucial role in our analysis is played by the operator \(|[x,\omega _{N,t}]|\). Let us define its density
An important ingredient in [8] was the estimate
valid for all \(t \in \mathbb {R}\). For interaction potentials satisfying (1.4), (1.11) was proven in [8] propagating the commutator bounds (1.2) along the solution of the Hartree–Fock equation. Here, to deal with the Coulomb singularity of the interaction, we need additional information on the operator \(|[x,\omega _{N,t}]|\); in particular, we need a bound (again of the order \(N\varepsilon \)) on the \(L^p\) norm of \(\rho _{|[x,\omega _{N,t}]|}\), for a \(p > 5\). Unfortunately, we do not know what assumptions on the initial data \(\omega _N\) imply the validity of these bounds for the solution of the Hartree–Fock equation (1.10). Our main result is therefore a conditional statement; it gives convergence of the many-body evolution with Coulomb interaction towards the Hartree–Fock equation on the time interval [0; T] provided the \(L^1\) and the \(L^p\) norm of \(\rho _{|[x,\omega _{N,t}]|}\) are of order \(N\varepsilon \), uniformly in \(t \in [0;T]\) (for a \(p > 5\)).
Theorem 1.1
Let \(\omega _N\) be a sequence of orthogonal projections on \(L^2 (\mathbb {R}^3)\), with \(\mathrm {tr}\, \omega _N = N\) and such that \(\mathrm {tr}\, (-\varepsilon ^2 \Delta ) \, \omega _N \le C N\), for a constant \(C >0\) independent of N. Let \(\omega _{N,t}\) denote the solution of the Hartree–Fock equation (1.10) with initial data \(\omega _{N,0} = \omega _N\). We assume that there exists a time \(T > 0\), a \(p > 5\) and a constant \(C > 0\) such that
Let \(\psi _N \in L^2_a (\mathbb {R}^{3N})\) be such that its one-particle reduced density matrix \(\gamma _{N}^{(1)}\) satisfies
for a constant \(C > 0\) and an exponent \(0 \le \alpha < 1\).
Consider the evolution \(\psi _{N,t}= e^{-iH_N t/\varepsilon } \psi _N\), with the Hamilton operator (1.9) and let \(\gamma ^{(1)}_{N,t}\) be the corresponding one-particle reduced density. Then for every \(\delta > 0\) there exists \(C >0\) such that
and
Recall that \(\Vert \omega _{N,t} \Vert _\text {HS} = N^{1/2}\) and \(\mathrm {tr}\, \omega _{N,t} = N\); this implies that the bounds (1.14) and (1.15) are non-trivial. They really show that the Hartree–Fock equation is a good approximation for the many-body evolution with a Coulomb interaction. Remark here that the exponent \(0 \le \alpha < 1\) measures the number of particles that, at time \(t=0\), are not in the Slater determinant (the initial number of excitations). It turns out, moreover, that the trace-norm condition (1.13) can be replaced by the bound \(\Vert \gamma _N^{(1)} - \omega _N \Vert _\text {HS} \le C N^{\alpha /2}\) for the Hilbert-Schmidt norm; in this case, however, the term \(N^{\alpha /2}\) on the r.h.s. of (1.14) should be replaced by the larger error \(N^{(1+\alpha )/4}\).
As pointed out in the introduction, the Hartree–Fock equation (1.10) still depends on N. As \(N \rightarrow \infty \), the Wigner transform of the solution of (1.10) is expected to converge to a solution of the Vlasov equation. However, this result is still open. In fact, the result of [16], which applies to the case of a Coulomb interaction, does not allow \(\omega _{N,t}\) to be a projection.
Despite the fact that we do not know how to prove the bounds (1.12) for the solution of the Hartree–Fock equation, they are consistent with the idea that \(\omega _{N,t}\) varies on a length scale of order \(\varepsilon \) in the \((x-y)\) direction, while it is regular and it varies on scales of order one in the \((x+y)\) direction.
There is in fact one special situation, in which the required bounds can be easily shown to hold true. Consider namely an N-fermion system described on a finite box \(\Lambda \) with volume of order one and periodic boundary conditions. In this case, we can consider translation invariant Slater determinants, whose reduced densities have integral kernels \(\omega _N (x;y)\) depending only on \((x-y)\). Also the commutator \([x,\omega _N]\) and its absolute value \(|[x,\omega _N]|\) are then translation invariant, and therefore \(\rho _{|[x,\omega _N]|}\) is a constant, which we can reasonably assume to be of order \(N\varepsilon \) (meaning that \(\omega _N\) is a function of \((x-y)\) decaying at distances \(|x-y| \gg \varepsilon \) from the diagonal). Then, we trivially have \(\Vert \rho _{|[x,\omega _N]|} \Vert _p \le C N\varepsilon \) for all \(1 \le p \le \infty \). Furthermore, it is easy to check that the Hartree–Fock evolution does not change translation invariant initial data, i.e. in this case we have \(\omega _{N,t} = \omega _N\) for all \(t \in \mathbb {R}\). This means that \(\Vert \rho _{|[x,\omega _{N,t}]|} \Vert _p \le C N\varepsilon \) for all \(1\le p \le \infty \) and also for all \(t \in \mathbb {R}\). So, for translation invariant Slater determinants describing N fermions in a box with volume of order one with periodic boundary conditions, Theorem 1.1 shows (in this case, with no further assumptions), that the many body evolution generated by (1.9) can be approximated by the Hartree–Fock equation, which means, in other words, that it leaves the state of the system approximately invariant (we stated Theorem 1.1 for systems defined on \(\mathbb {R}^3\), but the result and its proof can be easily extended to systems defined on a box with volume of order one and with periodic boundary conditions).
Let us remark that Theorem 1.1 can be extended by including an external potential in the Hamilton operator (1.9) [and in the Hartree–Fock equation (1.10)]. Of course, in presence of an external potential it may be more difficult to justify the assumption (1.12), especially if the external potential is singular, as it is in (1.6). Similarly, let us stress the fact that Theorem 1.1 remains true if in (1.9) and in (1.10) we replace the repulsive Coulomb potential \(V(x) = 1/|x|\) with the attractive interaction \(V(x) = - 1/|x|\). Also here, however, it may be more difficult to justify (1.12) in the attractive case.
Finally, let us add a remark concerning the convergence of the higher order reduced densities. Theorem 1.1 only establishes the convergence of the one-particle reduced density. It turns out that our method can be extended to show the convergence of the k-particle reduced density, for any fixed \(k \in \mathbb {N}\), but only when tested against observables that are diagonal in a basis of \(L^2 (\mathbb {R}^{3k})\) consisting of factorized functions.
2 Fock Space Representation
To prove Theorem 1.1 we switch to a Fock space representation of the fermionic system. The fermionic Fock space over \(L^2\left( \mathbb {R}^3\right) \) is defined as the direct sum
where \(L_a^2\left( \mathbb {R}^{3n}\right) \) is the antisymmetric subspace of \(L^2\left( \mathbb {R}^{3n}\right) \).
The number of particle operator on \(\mathcal {F}\) is the closure of the symmetric operator defined by \((\mathcal {N}\Psi )^{(n)} = n \psi ^{(n)}\) for all \(\Psi = \{ \psi ^{(n)} \}_{n \ge 0} \in \mathcal {F}\) with \(\psi ^{(n)} = 0\) for all n large enough.
On \(\mathcal {F}\), it is useful to introduce creation and annihilation operators. For \(f \in L^2\left( \mathbb {R}^{3}\right) \), we define the creation operator \(a^* (f)\) and the annihilation operator a(f) through
for all \(\Psi = \{ \psi ^{(n)} \}_{n \ge 0} \in \mathcal {F}\) with \(\psi ^{(n)} = 0\) for all n large enough. Creation and annihilation operators satisfy canonical anticommutation relations
for all \(f,g \in L^2 \left( \mathbb {R}^3\right) \). Using the anticommutation relations it is easy to see that a(f) and \(a^* (f)\) extend to bounded operators on \(\mathcal {F}\), with \(\Vert a (f) \Vert = \Vert a^* (f) \Vert = \Vert f \Vert _2\), and that \(a^* (f)\) is the adjoint of a(f).
It is also convenient to define operator valued distributions \(a_x^* , a_x\) for \(x\in \mathbb {R}^3\), such that
In terms of the distributions \(a_x^*, a_x\), we find
More generally, for an operator J on \(L^2 (\mathbb {R}^3)\) we define its second quantization \(d\Gamma (J)\) so that its restriction to the n-particle sector has the form
where \(J^{(j)} = 1^{\otimes (n-j)} \otimes J \otimes 1^{\otimes (j-1)}\) acts non-trivially only on the j-th particle. If J has the integral kernel J(x; y), we can write \(d\Gamma (J)\) in terms of the distributions \(a_x^*, a_x\) as
For example, \(d\Gamma (1) = \mathcal {N}\). In the next lemma we collect some bounds for the second quantization of one-particle operators. Its proof can be found in [8, Lemma 3.1]
Lemma 2.1
For every bounded operator J on \(L^2 \left( \mathbb {R}^3 \right) \), we have
for every \(\Psi \in \mathcal {F}\). If J is a Hilbert-Schmidt operator, we also have the bounds
for every \(\Psi \in \mathcal {F}\). Finally, if J is a trace class operator, we obtain
where \(\Vert J \Vert _{\mathrm {tr}} = \mathrm {tr}|J| = \mathrm {tr}\sqrt{J^*J}\) indicates the trace norm of J.
For a Fock space vector \(\Psi \in \mathcal {F}\), we can define the one-particle reduced density as the non-negative trace class operator on \(L^2 (\mathbb {R}^3)\) with integral kernel
For a N particle state \(\Psi = \{ 0, 0 , \dots , \psi _N, \dots \} \in \mathcal {F}\), it is easy to check that this definition coincides with (1.7). In fact
Furthermore, for a one-particle observable J on \(L^2 (\mathbb {R}^3)\), we find that the expectation of the second quantization of J in the Fock state \(\Psi \) is given by
This motivates the Definition (2.2). Notice in particular, that with this definition
is the expected number of particles in \(\Psi \).
Next, we introduce the Hamilton operator \(\mathcal {H}_N\) on the fermionic Fock space \(\mathcal {F}\). Formally, we define \(\mathcal {H}_N\) in terms of the distributions \(a_x^*, a_x\) as
More precisely, \(\mathcal {H}_N\) is the self-adjoint operator whose restriction on the n-particle sector of \(\mathcal {F}\) is given by
In particular, when restricted on \(\mathcal {F}_N\), the Hamilton operator \(\mathcal {H}_N\) coincide with the mean field Hamilton operator (1.9) defined in the previous section (and thus, for initial data in \(\mathcal {F}\) with exactly N particles, the dynamics generated by \(\mathcal {H}_N\) coincides exactly with the evolution introduced in the previous section).
Let \(\{ f_j \}_{j=1}^N\) be an orthonormal system in \(L^2 (\mathbb {R}^3)\). On \(\mathcal {F}\), we consider the Slater determinant
where the only non-trivial entry is in the N-particle sector. As stated in (1.8), the one-particle reduced density associated to this Slater determinant is given by the orthogonal projection
An important observation is the fact that there exists a unitary operator, that we will denote by \(R_{\omega _N} : \mathcal {F}\rightarrow \mathcal {F}\) with the following two properties:
and
where \(u_N = 1- \omega _N\) and \(v_N = \sum _{j=1}^N | \overline{f}_j \rangle \langle f_j|\). In other words, if we complete the orthonormal system \(\{ f_j \}_{j=1}^N\) to an orthonormal basis \(\{ f_j \}_{j \ge 1}\) of \(L^2 (\mathbb {R}^3)\), we find
if \(j > N\), while
if \(j \le N\). The map \(R_{\omega _N}\) is known as a particle-hole transformation. It let us switch to a new representation of the system; the new vacuum describes the Slater determinant with reduced density \(\omega _N\). The new creation operators create excitations of the Slater determinant, i.e. either particles outside the determinant or holes in it. The proof of the existence of the unitary operator \(R_{\omega _N}\) with the properties listed above can be found, for example, in [20].
Theorem 1.1 is a consequence of the following theorem for the evolution of approximate Slater determinants in the Fock space \(\mathcal {F}\).
Theorem 2.2
Let \(\omega _N\) be a sequence of orthogonal projections on \(L^2 (\mathbb {R}^3)\), with \(\mathrm {tr}\, \omega _N = N\) and \(\mathrm {tr}\, (-\varepsilon ^2 \Delta ) \, \omega _N \le C N\). Let \(\omega _{N,t}\) denote the solution of the Hartree–Fock equation (1.10) with initial data \(\omega _{N,0} = \omega _N\). We assume that there exists \(T > 0\), \(p > 5\) and \(C > 0\) such that
Let \(\xi _N \in \mathcal {F}\) be a sequence with
for an exponent \(\alpha \), with \(0 \le \alpha < 1\). We consider the evolution
and denote by \(\gamma ^{(1)}_{N,t}\) the one-particle reduced density of \(\Psi _{N,t}\), as defined in (2.2). Then for all \(\delta > 0\) there is a constant \(C > 0\) such that
and
Let us show how Theorem 2.2 implies the statement of Theorem 1.1, where we consider the evolution of N-particle states.
Proof of Theorem 1.1
Set \(\Psi _N = \{ 0, \dots , 0, \psi _N, 0, \dots \}\) and \(\xi _N = R_{\omega _N}^* \Psi _N \in \mathcal {F}\). Then we have \(\Psi _N = R_{\omega _N} \xi _N\), and
Using the anticommutation relations we find \(a(\overline{v}_x) a^* (\overline{v}_x) = - a^* (\overline{v}_x) a(\overline{v}_x) + \langle \overline{v}_x , \overline{v}_x \rangle \). Since \(u_N = 1- \omega _N\) is orthogonal to \(\omega _N\), we conclude that
This implies that
for an exponent \(0 \le \alpha < 1\), from the assumption (1.13). Hence, we can apply Theorem 2.2 and we obtain that
and that
for any \(\delta > 0\). \(\square \)
In order to prove Theorem 2.2, we define the fluctuation dynamics
and we observe that
The vector \(\mathcal {U}_N (t) \xi _N\) describes the excitations at time t. The key step in the proof of Theorem 2.2 is the following bound on the expectation of the operator \(\mathcal {N}\) in the state \(\mathcal {U}_N (t) \xi _{N}\). This is a bound on the expected number of excitations of the Slater determinant in the state \(\Psi _{N,t}\).
Proposition 2.3
Let \(\omega _N\) be a sequence of orthogonal projections on \(L^2 (\mathbb {R}^3)\), with \(\mathrm {tr}\, \omega _N = N\) and \(\mathrm {tr}\, (-\varepsilon ^2 \Delta ) \, \omega _N \le C N\). Suppose that there exists \(T >0\), \(p > 5\) and \(C > 0\) such that
Let \(\mathcal {U}_N (t)\) be the fluctuation dynamics defined in (2.6) and \(\xi _N \in \mathcal {F}\). Then, for every \(\delta > 0\) small enough, there exists a constant \(C > 0\) such that
for all \(\xi _N \in \mathcal {F}\) with \(\Vert \xi _N \Vert = 1\).
Remark that the proof of this proposition, which will be given in the next section, can be extended to show a similar bound for higher moments of the number of particles operator (these estimates are needed to establish the convergence of higher order reduced densities, as stated after Theorem 1.1). Let us now show how Proposition 2.3 can be used to establish Theorem 2.2.
Proof of Theorem 2.2
We follow here the same argument used in [8]. From (2.2), we obtain
Equation (2.4) implies that
where we introduced the short-hand notation \(u_{t,x} (z) = u_{N,t} (x;z)\) and \(\overline{v}_{t,y} (z) = \overline{v}_{N,t} (y;z)\) for the kernels of \(u_{N,t} = 1-\omega _{N,t}\) and \(v_{N,t} = \sum _{j=1}^N |\overline{f}_j \rangle \langle f_j|\) if \(\omega _{N,t} = \sum _{j=1}^N |f_j \rangle \langle f_j|\). Notice that then
This leads to
Let J be a Hilbert-Schmidt operator on \(L^2 \left( \mathbb {R}^3 \right) \). Integrating its kernel against the difference (2.10), we find
Using Lemma 2.1 and \(\Vert u_{N,t}\Vert =\Vert v_{N,t}\Vert =1\), we find
By duality, this implies that
With Proposition 2.3 we conclude that
for any \(\delta > 0\).
Finally, we prove the trace class bound (1.15). Starting from (2.11) we find, for any compact operator J on \(L^2 (\mathbb {R}^3)\),
From Proposition 2.3 and \(\Vert v_{N,t} \Vert _{\mathrm {HS}} \le N^{\frac{1}{2}}\), we obtain that, for every \(\delta > 0\) there exists \(C > 0\) such that
This completes the proof of Theorem 2.2. \(\square \)
3 Control of the Fluctuations
The goal of this section is to show Proposition 2.3. To reach this goal, we derive a differential inequality for the expectation \(\langle \mathcal {U}_N (t) \xi _N , \mathcal {N}\mathcal {U}_N (t) \xi _N \rangle \) and we apply Gronwall’s lemma. We have
where, as in the last section, we use the short-hand notation \(u_{t,x} (z) = u_{N,t} (x;z)\), \(v_{t,x} (z) = v_{N,t} (x;z)\), with the operators \(u_{N,t} = 1-\omega _{N,t}\) and \(v_{N,t}\) as defined after (2.8). The proof of (3.1) is a lengthy but straightforward computation that can be found in [8, Proof of Proposition 3.3].
Next, we estimate the three contribution on the r.h.s. of (3.1) separately. We start with the term
To bound this contribution (and later also to control the other two terms on the r.h.s of (3.1)), we use a smooth version of the Fefferman-de la Llave representation of the Coulomb potential [11], given by
where we introduced the notation \(\chi _{(r,z)} (x) = e^{-(x-z)^2/r^2}\). The proof of (3.3) is a simple computation with Gaussian integrals which we leave to the reader (the fact that the result of the integral is proportional to \(|x-y|^{-1}\), which is the only property we are going to use, follows by simple scaling). Inserting (3.3) into (3.2) we find
where we defined the operator
Lemma 2.1 implies that
To bound the r.h.s., we use the next lemma, whose proof is deferred to the end of the section.
Lemma 3.1
Let \(\chi _{r,z}(x) = \exp (-(x-z)^{2}/r^{2})\). Then, for all \(0< \delta <1/2\) there exists \(C > 0\) such that the pointwise bound
holds true. Here \(\varrho ^*_{|[x_i,\omega _{N,t}]|}\) denotes the Hardy–Littlewood maximal function defined by
with the supremum taken over all balls \(B \in \mathbb {R}^3\) such that \(z \in B\).
Applying (3.7) to the r.h.s. of (3.6) and using the assumption (2.7), we conclude from (3.4) that, for all \(\delta > 0\) there exists \(C > 0\) such that
where we defined
We find
where \(u_{N,t} g_{i,r} (x) u_{N,t}\) is the operator with the integral kernel
Applying again Lemma 2.1 and using the fact that \(\Vert u_{N,t} \Vert \le 1\), we obtain
We have, using the Hardy–Littlewood maximal inequality,
for any \((5/6-\delta )^{-1} < q \le \infty \) and p such that \(p^{-1} + q^{-1} = 1\). To bound the r.h.s. of (3.10), we divide the r-integral into two parts and then we apply (3.11) with two different choices of p, q. From the assumption (2.7) we can find \(q_1 > 6\) and \(q_2 < 6\) and \(\delta > 0\) sufficiently small such that
With this choice of \(q_1\), \(q_2\), we have \(p_1 < 6/5\) and \(p_2 > 6/5\) which implies (possibly after reducing again the value of \(\delta > 0\)) that \(r^{-7/2 -3\delta + 3/p_1}\) is integrable close to zero and that \(r^{-7/2-3\delta + 3/p_2}\) is integrable at infinity. We conclude that
for all \(t \in [0;T]\).
The second term on the l.h.s. of (3.1) can be estimated similarly. Recalling the definition (3.5) of the operator \(B_{r,z}\), we can write
which implies, with (3.6), (3.7), the assumptions (2.7) and (3.9) that, for \(\delta >0\) small enough,
Then we conclude as we did for (3.10) that
for all \(t \in [0;T]\).
Finally, we consider the third term on the r.h.s. of (3.1). Again we use the Fefferman-de la Llave formula (3.3) for the Coulomb potential. We obtain
We divide the r-intergral into two parts, setting \(\text {III} = \text {III}_1 + \text {III}_2\), with
We start estimating \(\text {III}_1\). Here, we start by integrating over z. Since
we obtain, with (3.5),
Since \(\Vert \overline{v}_{N,x} \Vert ^2 = \omega _{N,t} (x;x) =: \rho _{N,t} (x)\), we find
Using the pointwise bound (3.7) and the assumption (2.7), we obtain that, for all \(\delta > 0\) sufficiently small, there exists a constant \(C > 0\) such that
Applying Hölder’s inequality, we conclude that
By the Hardy–Littlewood maximal inequality and the assumption (2.7), we have
Furthermore, we have
On the other hand, to bound the norm \(\Vert \rho _{N,t} \Vert _{5/3}\) we use the Lieb–Thirring inequality, which implies
with the Hartree–Fock energy
By energy conservation, we have
Next, we remark that the potential part of \(\mathcal {E}_\text {HF} (\omega _{N})\) can be bounded by its kinetic energy. In fact, applying the Hardy–Littlewood-Sobolev inequality and interpolation and using the normalization \(\Vert \rho _N \Vert _1 = N\) for \(\rho _N (x) = \omega _N (x;x)\), we find
by Young’s inequality. From the Lieb–Thirring, we find
and hence
from the assumption \(\mathrm {tr}\, (-\varepsilon ^2 \Delta ) \omega _N \le CN\) on the initial sequence of orthogonal projection \(\omega _N\). From (3.20), we conclude that \(\Vert \rho _{N,t} \Vert _{5/3} \le N\). Combining this estimate with (3.18) and (3.19), we obtain
for all \(t \in [0;T]\).
Next, we estimate the second term in (3.14). With the definition (3.5), we have
With the bound (3.7) and the assumption (2.7), we obtain
Hence,
Minimizing over \(\kappa \) we find \(\kappa = \varepsilon ^{1/2}\) and we conclude
Combining this bound with (3.12) and (3.13), we obtain from (3.1) that, for every \(\delta > 0\) small enough, there is a constant \(C > 0\) such that
for all \(t \in [0;T]\). Gronwall’s lemma implies that there exists a constant \(C > 0\) such that
This concludes the proof of Proposition 2.3. We still have to show Lemma 3.1.
Proof of Lemma 3.1
The integral kernel of the commutator \([\chi _{(r,z)}, \omega _{N,t}]\) is
Hence
where, with an abuse of notation, we use \(\chi _{(.,.)} (x)\) to denote both the function of x and the corresponding multiplication operator.
We focus on the first term on the r.h.s. of (3.21), for example fixing \(k=1\). The other components of the first term, and the three components of the second term can then be treated similarly. We use the spectral decomposition of the commutator \(\left[ x_1 ,\omega _{N,t} \right] \) (which, by assumption, is trace class for all \(t \in [0;T]\)), given by
for a sequence of eigenvalues \(\lambda _j \in \mathbb {R}\) and an orthonormal system \(\varphi _j\) in \(L^2 (\mathbb {R}^3)\) (we introduced \(i=\sqrt{-1}\) on the r.h.s., because the commutator is anti self-adjoint). We find
and therefore, since \(\Vert |\varphi \rangle \langle \psi | \Vert _\text {tr} = \Vert \varphi \Vert \Vert \psi \Vert \),
We compute
where \(\rho ^*_{|[x_1,\omega _{N,t}]|}\) is the Hardy–Littlewood maximal function associated with \(\rho _{|[x_1,\omega _{N,t}]|}\). To prove (3.23), we write
and, using Fubini, we find
which shows (3.23). Similarly to (3.23), we also find
Combining this bound with the simpler estimate
we obtain
for any \(0 \le \alpha \le 1\). Inserting the last bound and (3.23) on the r.h.s. of (3.22) we conclude
Hence, for all \(\delta > 0\) we find (putting \(\alpha = 2/3 -2\delta \))
which concludes the proof of Eq. (3.7), and of Lemma 3.1. \(\square \)
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Acknowledgements
We acknowledge the support of the NCCR SwissMAP. Furthermore, M.P. has been supported by the Swiss National Science Foundation through the grant “Mathematical aspects of many-body quantum systems”. C.S. was supported by the Forschungskredit UZHFK-15-108. B.S. is happy to acknowledge support from the Swiss National Science Foundation through the grant “Effective equations from quantum dynamics”.
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Porta, M., Rademacher, S., Saffirio, C. et al. Mean Field Evolution of Fermions with Coulomb Interaction. J Stat Phys 166, 1345–1364 (2017). https://doi.org/10.1007/s10955-017-1725-y
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DOI: https://doi.org/10.1007/s10955-017-1725-y