Lieb-Robinson bounds, the spectral flow, and stability of the spectral gap for lattice fermion systems
Bruno Nachtergaele, Robert Sims, Amanda Young

TL;DR
This paper establishes Lieb-Robinson bounds for lattice fermion systems, enabling analysis of spectral flow and stability of spectral gaps, which are crucial for understanding quantum phases and topological order.
Contribution
It extends Lieb-Robinson bounds and spectral flow techniques from spin systems to fermionic lattice models, demonstrating spectral gap stability under certain conditions.
Findings
Lieb-Robinson bounds proven for fermion systems
Spectral flow automorphisms constructed for these systems
Spectral gap stability shown for frustration-free models
Abstract
We prove Lieb-Robinson bounds for a general class of lattice fermion systems. By making use of a suitable conditional expectation onto subalgebras of the CAR algebra, we can apply the Lieb-Robinson bounds much in the same way as for quantum spin systems. We preview how to obtain the spectral flow automorphisms and to prove stability of the spectral gap for frustration-free gapped systems satisfying a Local Topological Quantum Order condition.
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Lieb-Robinson bounds, the spectral flow, and stability of the spectral gap for lattice fermion systems
Bruno Nachtergaele
Department of Mathematics and Center for Quantum Mathematics and Physics
University of California, Davis
Davis, CA 95616, USA
,
Robert Sims
Department of Mathematics
University of Arizona
Tuscon, AZ 85721, USA
and
Amanda Young
Department of Mathematics
University of Arizona
Tuscon, AZ 85721, USA
(Date: April 1, 2017)
Abstract.
We prove Lieb-Robinson bounds for a general class of lattice fermion systems. By making use of a suitable conditional expectation onto subalgebras of the CAR algebra, we can apply the Lieb-Robinson bounds much in the same way as for quantum spin systems. We preview how to obtain the spectral flow automorphisms and to prove stability of the spectral gap for frustration-free gapped systems satisfying a Local Topological Quantum Order condition.
2010 Mathematics Subject Classification:
Primary 82B10; Secondary 82C10, 82C20
Based on work supported by the National Science Foundation under Grant DMS-1515850.
††copyright: ©2017: The Authors
1. Introduction
In the past dozen years, a considerable number of mathematical results on quantum spin systems made use of Lieb-Robinson Bounds [26] in an essential way. These include extensions of the Lieb-Schultz-Mattis theorem to higher dimensions [18, 37], the exponential decay of correlations in gapped ground states [36, 20], Area Laws for the entanglement entropy [19, 9], construction of the spectral flow and adiabatic theorems [8, 6, 5], stability results for gapped ground states [11, 30] and more.
It is quite clear that in many cases it should be possible to answer the same type of questions for lattice fermion systems based on the same principles that apply to quantum spin systems. Indeed, there are several special cases where the close analogy between lattice systems of spins and of fermions allowed for the successful application of Lieb-Robinson bounds. For example, a proof of the quantized Hall effect for interacting lattice fermions [21, 16], and linear response theory for lattice fermion systems [13].
In this paper, we discuss several crucial ingredients which enter the proof of stability for gapped, frustration-free models of lattice fermions. First, we prove a Lieb-Robinson bound for a general class of models. Variants of this quasi-locality estimate enter the proof of stability in many different stages. Next, we introduce a conditional expectation which enables strictly local approximations of quasi-local observables; this can be seen as an analogue of the normalized partial trace familiar in the context of quantum spin systems. Then, we provide a version of the martingale method suitable to prove lower bounds for the spectral gap of fermion models. Equipped with this, a wealth of potential unperturbed models can be explored. After giving a few specific classes of gapped fermion models, we overview the main tool of analysis for stability: the spectral flow. More detailed estimates and additional results will be provided in forth-coming papers [32, 41].
The methods discussed in this paper can be applied to the Aubry-André model studied by Mastropietro in a recent series of papers [27, 28, 29]. Both the molecular and the free fermion limit can be shown to be stable under general, uniformly small, short-range perturbations. This is more general than the class of perturbations studied by Mastropietro, but the general result is weaker. In particular the renormalization group method of Mastropietro takes into account the quasi-periodicity of the potential, in a way that allows for an estimate of the correlation length that is indicative of many-body localization. The details of the interactions are ignored by the general approach discussed here and adapting the method to study many-body localization will require further research.
2. Lattice fermion systems
Spinless fermions on a countable set , which is often referred to as ‘the lattice’, are described by the CAR algebra . is the *-algebra generated by creation and annihilation operators , , which satisfy the canonical anti-commutation relations, i.e. the CAR:
[TABLE]
Here denotes the anti-commutator of and . As is discussed in detail in [10], this CAR algebra can be represented as the collection of bounded linear operators over the Hilbert space corresponding to the anti-symmetric Fock space generated by . Furthermore, we note that spin and/or band indices can be included in this description by extending , for example, to .
For , is naturally embedded as a subalgebra of by identifying with the subspace of consisting of the functions that vanish on . Let denote the set of finite subsets of . For any , it is useful to define the parity automorphism of , which we denote by , by setting
[TABLE]
Here is the local number operator. Using the quasi-local structure of , we see that there is a unique automorphism of for which for any . It is clear that . The even and odd elements of are the eigenvectors of with eigenvalue and , respectively. By and , we denote the corresponding eigenspaces. Similarly, for any , we set and to be the even and odd eigenspaces of on the subalgebra . Note that is a -subalgebra of , but is not a subalgebra. In fact, it is immediate that .
A convenient basis for the local subalgebra is the one consisting of all monomials. Recall that is a monomial if
[TABLE]
Since each monomial is either even or odd, we conclude that any can be written as where and with each of , resp. , being a linear combination of even, resp. odd, monomials. Many of the results we will present depend on the support of the observable under consideration. The following proposition describes some useful commutation properties related to support.
Proposition 2.1**.**
*Let with .
(i) If and , then . Moreover, if , , and , then either or .
(ii) If and , then . Moreover, if , , and , then either or is identically zero, or and .*
Proof.
The first statements in (i) and (ii) above are easy to check for monomials, and they extend to general observables by linearity. Now, suppose , , and . Using the first part of (i), it is clear that
[TABLE]
and therefore, by the first part of (ii). The claim now follows by expanding and in the monomial basis. Proving the second part of (ii) is similar. ∎
An interaction for a system of fermions on is defined similarly to that of an interaction for a quantum spin system. Specifically, a map is an interaction if for all . For the results we are interested in here, we will restrict our attention to even interactions. An interaction is said to be even if for all . As such, each term is itself a sum of terms of the form
[TABLE]
where , is even, , and for a suitable enumeration of . This assumption of even interactions has a physical justification; it follows from the conservation of angular momentum that the parity of the number of particles with half-integral spin is preserved. In other words, fermions can only be created or annihilated in an even number at a time.
Given an interaction and , a local Hamiltonian is defined by
[TABLE]
When the interaction is understood, we often drop its dependence in the local Hamiltonians. These finite-volume Hamiltonians generate a local Heisenberg dynamics which is a one-parameter group of automorphisms of :
[TABLE]
If a dynamics is generated by an even interaction, it leaves invariant. In the next section we will show that for such dynamics that Lieb-Robinson bounds identical to the well-known bounds for quantum spin systems hold with essentially the same proof. One could also consider lattice fermion systems with an infinite number of bands, but for simplicity we will not do this here. In the finite band case, it is not a loss of generality to assume that the time-dependence of each interaction term is continuous in the operator norm, and this allows for a more straightforward presentation.
3. Lieb-Robinson bounds
Lieb-Robinson bounds provide an upper bound on the speed of propagation of disturbances in an extended many-body system. Such bounds can be proved under quite general conditions on the many-body interactions. In fact, the argument we describe below applies to time-dependent interactions as well, and so we introduce this now. Let be an interval; often , but this is not necessary. An even, time-dependent interaction is a mapping for which
[TABLE]
and moreover,
[TABLE]
Associated to any even, time-dependent interaction and each , there is a corresponding finite-volume, time-dependent Hamiltonian
[TABLE]
As is well-known, see e.g. Theorem X.69 in [43], the solution of
[TABLE]
produces a two-parameter family of unitary propagators , and in terms of these unitaries, a co-cycle of automorphisms of is defined by
[TABLE]
These automorphisms are commonly referred to as the finite-volume Heisenberg dynamics associated to , and it is to these dynamics that the Lieb-Robinson bounds apply. As we previously observed in the time-independent case, since in (3.4) is even, is even and so the map leaves and invariant.
Lieb-Robinson bounds are valid for interactions that decay sufficiently fast. A precise formulation of these bounds requires a notion of distance. For this reason, we will further assume that the countable set is equipped with a metric . In many physically interesting models, for some integer , and we may, for instance, take to be the -metric.
It is convenient to express the decay of interactions in terms of a function with the following properties:
(i) for all , ;
(ii) for all , ;
(iii) is a uniformly bounded function on .
We will denote the supremum of the bounded function described in (iii) by .
Given such a function , we define a set of even interactions, denoted , for which we can prove a Lieb-Robinson bound: an even interaction belongs to if there is a locally integrable function for which
[TABLE]
Here plays the role of a time-dependent norm on the space of interactions.
Two further definitions are useful in the statement of the Lieb-Robinson bounds. For , we define a collection of surface sets associated to in by
[TABLE]
Furthermore, if is a time-dependent interaction, then the -boundary of a set is defined by
[TABLE]
If is long-range, then it is often the case that , and is not a good measure of surface effects on the dynamics. However, when is finite-range, the above definition is of more consequence.
Theorem 3.1** (Lieb-Robinson Bound for Fermions).**
*Let be a countable set equipped with a metric and a function satisfying (i) - (iii) above, and let . For , let be a finite-volume dynamics associated to , as defined in (3.5). Let with .
(i) If , , and , then*
[TABLE]
*for all , .
(ii) If , , and , then for any , one has that*
[TABLE]
A number of remarks are in order.
First, the proof of this theorem mimics techniques that are well-known in the context of quantum spin systems, i.e. tensor product algebras. In fact, given Lemma 3.2 and Lemma 3.3, both proved below, the proof of Lieb-Robinson bounds in both settings proceeds almost identically. This was noted already in [13], where a variant of Theorem 3.1 (i) is proved along the same lines as what we present here (see [13][Theorem 5.1-Corollary 5.2(ii)]. It has been known for some time that to treat odd observables for fermionic systems, one should consider anti-commutators in addition to commutators. See, e.g., the discussion in [20].
Next, as explained in Proposition 2.1, the assumptions on the observables above can be re-formulated: for (3.9), one has assumed that either or is even, whereas for (3.10), excepting trivialities, one has assumed that both and are odd.
Further, the existence of a function satisfying properties (i)-(iii) above is, implicitly, a condition on . In many applications, the function is defined as a function of the distance between sites. More precisely, let be a non-increasing function with the following two properties:
(iv) is uniformly integrable on , i.e.
[TABLE]
and
(v) satisfies the convolution condition
[TABLE]
Any function as above is called an -function on . Moreover, it is clear that, in terms of any such , we can define a function with the properties (i)-(iii), by setting .
For technical estimates, it is often convenient to consider classes of decay functions on . Note that if is an -function on , then for any subadditive function , i.e., for all , the function also satisfies (iv) and (v) with and . Similarly, given satisfying (i)-(iii) and any , the function also satisfies (i)-(iii). In this latter case, the function can be used to introduce a spatial dependence in the decay of the interaction.
For and , i.e. the -distance, a typical example of an -function is given by
[TABLE]
where can be arbitrary. In fact, it is clear that this -function is uniformly integrable, i.e. (3.11) holds, and moreover, for (3.12) one may take
[TABLE]
In combination with , , we obtain a useful family of -functions given by .
Before proving Theorem 3.1, we state two simple lemmas. First, in Lemma 3.2 below, we prove a basic estimate for solutions of certain -valued differential equations. Next, Lemma 3.3 summarizes an application of Lemma 3.2 demonstrating a one-step locality estimate for the dynamically evolved quantities of interest. Theorem 3.1 will then follow by iterating the result from Lemma 3.3.
We start with the following solution estimate.
Lemma 3.2**.**
Let be a complex Hilbert space, an interval, and , be norm continuous with self-adjoint, i.e. for all . Then, for any , the solution of the initial value problem
[TABLE]
satisfies the estimate
[TABLE]
Here we have set and .
The assumption of norm continuity above is convenient because it guarantees that the mapping is continuous and thus measurable. A variant of this result in the case that and are merely strongly continuous is proved in [39].
Proof.
Since is self-adjoint, the unitary propagator corresponding to
[TABLE]
is well-defined for any . In this case, the function given by
[TABLE]
is the unique solution of the initial value problem
[TABLE]
From this, one readily checks that
[TABLE]
is the unique solution of (3.15) from which (3.16) follows. ∎
We now use Lemma 3.2 to provide estimates on two families of operators. Let be an even, time-dependent interaction. For any , consider the dynamics on , as in (3.5) above. Given and any , we define maps as follows:
[TABLE]
Lemma 3.3**.**
Let be an even, time-dependent interaction and take . For , , and , with , the mappings and , defined in (3.21), satisfy the bounds
[TABLE]
where is the finite-volume dynamics associated to , see (3.3) and (3.5).
As will be the case in our applications, these bounds are particularly useful when the first term on the right-hand-sides above vanish.
Proof of Lemma 3.3.
Let and be fixed. To derive the two bounds in parallel, define two functions:
[TABLE]
Here, denotes the inverse dynamics of the system restricted to , i.e.
[TABLE]
which is the inverse of (3.5). One readily checks that for :
[TABLE]
In the first equality above, we use that the adjoints of the unitary propagators satisfy the adjoint of (3.4). For the second, we use that , and for the final equality we use the Jacobi identity.
An almost identical calculation for gives:
[TABLE]
We note that the only change here is that, instead of the Jacobi identity for commutators, we use the following identity which holds for any three elements in an associative algebra:
[TABLE]
Both differential equations above are of the form required to apply Lemma 3.2. The claimed bounds follow from this and the substitution . ∎
We can now present the proof of the Lieb-Robinson bounds for lattice fermions for which the following notation will be useful: for , set
[TABLE]
Proof of Theorem 3.1.
We first prove (3.9). Lemma 3.3 implies
[TABLE]
Since the observables and have disjoint support and one of them is even, it is clear that . More generally, if , then for all and so the bound follows. In this case, by iterating (3.28) times, we obtain
[TABLE]
where
[TABLE]
and
[TABLE]
The remainder term is estimated as follows. First, we observe that
[TABLE]
Next, we note that the sums above are actually sums over chains of sets that satisfy and for . As such, there are points with and for all . A simple upper bound on these sums is then obtained by over counting:
[TABLE]
where denotes an arbitrary non-negative quantity. Note that we have also used that the last set must contain more than one point since . Now, from (3.6) we have that
[TABLE]
holds for each . We conclude that
[TABLE]
Since is locally integrable on , this remainder clearly goes to 0 as .
A similar estimate can be applied to the terms . Note that these terms are also sums over chains of sets. However, there is a restriction: only those chains whose final link satisfies contribute to the sum. The bound
[TABLE]
follows as above. Since and , the bound in (3.9) is now clear.
The proof of (3.10) proceeds similarly. In fact, Lemma 3.3 implies
[TABLE]
Since , the first term on the left-hand-side above vanishes. Using (3.28) to estimate the second term and iterating in exactly the same way as above, yields (3.10) as claimed. ∎
Theorem 3.1 gives an estimate of for commuting observables and with disjoint supports. As a function of , this estimate grows exponentially and for small vanishes linearly. A few additional comments are in order. First, note that when the supports of and have non-empty intersection, in general, one cannot expect to improve on the trivial bound: . On the other hand, given a lower bound on the distance between the supports of and , and if the interaction is of finite range, a slight modification to the proof of Theorem 3.1 shows that the behavior for small is , where is the minimum number of interactions terms necessary to connect the supports of and with a chain of sets, see e.g. (3). For similar reasons, one can also show that single-site terms in the Hamiltonian do not contribute to the estimate of Lieb-Robinson velocity. This can easily be seen using the interaction picture as is done, e.g., in [38]. Of course, this is not the statement that single-site terms in the Hamiltonian do not affect the velocity associated to certain time-evolved observables; rather it is the fact that this general upper bound is insensitive to such terms. For example, in specific models with a random external field, the speed of propagation has been shown to vanish [17].
4. Conditional expectation and local approximations
In many applications to quantum spin systems, the commutator estimates provided by Lieb-Robinson bounds are used to approximate quasi-local observables by strictly local ones. These local approximations are given by a conditional expectation with respect to a suitable product state (see, e.g., [12, 34, 35]). In the setting of lattice fermions, the conditional expectations that come to mind are those with respect to a product state such as, e.g., the tracial state, which is also the quasi-free state on determined by , and , for all . This state has the following product property [1, Theorem 6.12]: for any finite set of distinct , and , we have
[TABLE]
It is not difficult to see that for all , restricted to is the state of maximal entropy. It was shown in [4][Theorem 4.7] that for each finite , there is a unique conditional expectation that leaves invariant, meaning
[TABLE]
The same result for arbitrary even product states was proved in [3]. The family of conditional expectations determined by (4.2), satisfies the commuting diagram:
[TABLE]
The commutativity of this diagram is the essential property that allows one to use the maps in the same role as the partial trace in the case of of quantum spin systems. We note however, that for applications one often only needs these relations for even observables, in which case there are other options for the local algebras and the conditional expectations. For our purposes, it will be useful to introduce a slightly different set of conditional expectations, which we will now explain.
Under the isomorphism , coincides with the normalized trace on . For even observables, the conditional expectation acts exactly as in the situation of spin system. The anticommutation properties of odd observables, however, introduce a small twist, which implies that the Krauss form of the map contains global operators (see (4.19) below). This creates a complication for the proof of Lemma 4.3. Therefore, we introduce another family of conditional expectations which, as we will show, also satisfy a commuting diagram similar to (4.3), and which coincide with the maps on even observables.
The remainder of this section is devoted to describing the conditional expectations of interest for finite volume systems. Given a -algebra , and a subalgebra of , by a conditional expectation of onto , we mean a unity-preserving, completely positive map with , such that for all and . Let with and finite. We will show that the range of the relevant conditional expectation is given by the -subalgebra:
[TABLE]
where is the parity operator used to define in (2.2). Since we only consider Hamiltonians defined by even interactions, in applications it will be sufficient to only consider the restriction of to . In the restricted case will be a conditional expectation with range equal to .
We define by giving its Krauss form. For each site , define
[TABLE]
It follows from the CAR that these are unitary. Clearly, for , and for . Therefore, commutes with the elements of for , and commutes with and anti-commutes with for .
For a subset , let and fix an ordering of the sites of . Then, for each define the unitary operator by
[TABLE]
We will show that the following unity-preserving, completely positive map is the conditional expectation of interest associated with on :
[TABLE]
It is important to notice that the map does not depend on the ordering chosen for the site in . Since the unitaries , , , either commute or anti-commute, any reordering of equals either or . Either way, the -term in (4.6) is not affected.
The first important property for is that
[TABLE]
It is easy to verify that for a monomial . Using this, the product property of given in (4.1), and the CAR it follows that (4.7) holds for any monomial . The property then extends to by linearity.
To establish that is a conditional expectation, it is left to verify that
[TABLE]
for all and . In the situation that is a -subalgebra of , a theorem by Tomiyama [44] shows that (4.8) is satisfied if is a norm-1 projection. In the next lemma we establish that Tomiyama’s result applies to both and the restriction .
Lemma 4.1**.**
For with , the map defined in (4.6) satisfies
(i) ;
(ii) ;
(iii) ;
(iv) .
Proof.
Property (i) follows immediately from the fact that is an average of unitary conjugations.
To prove (ii)-(iv) we consider observables of the form where for all . We refer to such operators as product observables. Since the monomials defined in (2.3) satisfy this condition, computing for product observables completely describes the map.
By (anti-)commuting the factors , can be written in the form where and are product observables in and , respectively. Then, using the CAR:
[TABLE]
Here, denotes the parity of . For all
[TABLE]
so applying (4.7) to (4.9) we find:
[TABLE]
Applying (4.10) a second time shows for any product observable , and so property (ii) holds. Alternatively, (ii) also follows from the observation that is defined as the average of the adjoint actions , which form a group.
For property (iii), we see from (4.10) that by noting that . The opposite containment follows from observing that
[TABLE]
for any pair of product observables and .
For (iv), if then the factors and above are either both even or both odd. If they are both odd, then since is zero for odd observables. It follows that . The opposite containment holds since for all . ∎
Several comments are in order. First, an important consequence of (4.10) is that
[TABLE]
Second, we will want to consider the family of all conditional expectations such that . Since the definition of is independent of the ordering of the sites , given any two sets such that is the disjoint union of and it immediately follows that
[TABLE]
Lemma 4.2**.**
*The family of conditional expectations defined as in (4.6) satisfy the following properties:
(i) For any ,*
[TABLE]
(ii) For any and and with ,
[TABLE]
(iii) Given and ,
[TABLE]
Proof.
For (i), since is the disjoint union of and , (4.12) implies
[TABLE]
Analogously, . Using that is a projection, we find
[TABLE]
The result follows from noticing that is the disjoint union of and .
For (ii), we first use (4.16) to rewrite . Then, using the commutation properties of even observables we find
[TABLE]
An analogous argument holds for showing the final equality in (4.14).
Finally, (iii), since , and , it is clear that
[TABLE]
∎
Recall that the motivation for introducing these conditional expectations was to produce local approximations of global observables. Since we consider even interactions, it is sufficient to just localize even observables. The final result we provide shows that does indeed produce local approximations of even observables.
Lemma 4.3**.**
Let , , and . If for all , then there exists such that .
This lemma is proved by a straightforward estimate using :
[TABLE]
Since and is unitary, for all , by the assumption in the lemma we have the bound
[TABLE]
which is sufficient to prove lemma.
Since is even, using the Krauss forms of , see (4.6), and of , see (4.19) below, one can easily check . Note, however, that the Krauss form for on all of involves global operators and, as such, is not suitable for the above argument. To present a Krauss form for , we first define , and for , and denote by the sets of for which . Then we have
[TABLE]
with
[TABLE]
Clearly, the support of is all of and there is no obvious way to apply a Lieb-Robinson bound to estimate a commuator with it.
5. Martingale method for lattice fermions
Before we address the question of stability of a spectral gap in the presence of perturbations, we would like to demonstrate the existence of a wealth of models for which one can prove the existence of a spectral gap. These models can then serve as the ‘unperturbed model.’
As in the situation of quantum spin systems, it is helpful to consider frustration-free models. Examples of frustration-free fermion models in one dimension are easily found by making use of the Jordan-Wigner transformation [25], to translate the abundance of frustration-free quantum spin chains into fermion Hamiltonians. An example of this type is Kitaev’s Majorana chain [24] and also the path of frustration-free fermion chains connecting Kitaev’s Majorana chain to a family of interacting fermion chains introduced by Katsura et al. [23].
In Section 6 we will also introduce a class of frustration-free fermion models in arbitrary dimension that have a quasi-free ground state and a spectral gap above it. In the latter case, for the quadratic Hamiltonians associated to these models, one can often determine a lower bound for the spectral gap by inspection. For models with interactions of a more general form, however, proving a volume-independent lower bound for the spectral gap above the ground state is generally a challenging problem. For spin systems the martingale method has often been applied to establish a nonzero spectral gap above the ground state energy [15, 33, 7]. In this section we give a formulation of the method suited for lattice fermions. Although the tensor product structure of quantum spin systems is not available, under general conditions, one can still obtain the commutation relations required for the method. The approach we introduce here was first used in [45].
Let be finite and be the lattice fermion Hamiltonian acting on a fermionic Fock space. Note further that for any self-adjoint, even observable that the spectral projections associated to also belong to . This follows immediately from the fact that the spectral projections can be expressed as a polynomial of . From this, we conclude that the spectral projections of two self-adjoint even observables with disjoint support commute.
Now consider an increasing sequence of non-negative Hamiltonians
[TABLE]
with , , and for all . More generally, it is sufficient to consider an increasing, non-negative sequence of Hamiltonians for which
[TABLE]
where and is the ground state energy of . When the conditions of the martingale method are met, it produces a lower bound for the spectral gap above the ground state energy of .
To apply the martingale method, it is necessary that the Hamiltonians each have a non-trivial kernel. Since these Hamiltonians are non-negative and increasing, the kernels form a decreasing sequence of subspaces:
[TABLE]
In order to state the assumptions of the martingale method we define
[TABLE]
Clearly, (5.2) implies , and is increasing if and only if , for all . Furthermore, define and to be the orthogonal projections onto and , respectively, and let
[TABLE]
It is easy to verify that the are a mutually orthogonal family of orthogonal projections that form a resolution of the identity, i.e., , , and .
Assumptions for the Martingale Method:
(i) There is a constant such that for .
(ii) There is an integer such that whenever and , .
(iii) There exists a positive , such that , for .
Theorem 5.1** (Martingale Method).**
Suppose that Assumptions (i)–(iii) hold for a sequence of Hamiltonians , as described above. If such that , then
[TABLE]
Proof.
By assumption . Hence
[TABLE]
Given this, for any , we have that
[TABLE]
where we have set . For the last equality above, we inserted the resolution of the identity, used Assumption (ii), and applied the mutual orthogonality of the projections . Two applications of the inequality
[TABLE]
now show that
[TABLE]
We estimate each of the four terms above as follows. For the first term, we apply Assumption (i), whereas the second term is immediately combined with the left-hand-side. With the third term, we use Assumption (iii), and for the fourth term, we again use the mutual orthogonality of the . After some reordering, we have
[TABLE]
Summing both sides of (5.7) from , yields
[TABLE]
Maximizing this lower bound leads to the choice of and . This produces the inequality stated in the theorem. ∎
6. Discussion: stability, examples, and the spectral flow
Recently, methods were introduced, see e.g. [11, 30], which allow for a proof of stability for gapped ground states of frustration-free quantum spin systems satisfying a Local Topological Quantum Order (LTQO) condition. Here, the term stability refers to the property that the there is a lower bound of the spectral gap, uniform in , for finite-volume Hamiltonians of the form
[TABLE]
where is any other short-range interaction and for some . Roughly speaking, this LTQO condition on amounts to a precise formulation of the notion that, in this situation, degenerate ground states cannot be distinguished by local operations. In a forth-coming work [40], a systematic refinement of these techniques will be presented which generalize previous results. For example, a stability result for gapped ground state phases of quantum spin models with a spontaneously broken discrete symmetry is contained in [40].
In this section, we give an indication of how analogous results extend to models of lattice fermions. More details on this extension will be given in [41]. We begin by defining general frustration-free fermion models. Next, we give a large class of examples of gapped, frustration-free fermion which may serve as unperturbed models for stability results. Then, we introduce several types of symmetry, which may or may not be broken in a given model, and discuss briefly how the LTQO condition should be modified in this context. Lastly, we discuss the construction of the spectral flow automorphism which is main tool of analysis in proofs of stability.
In the same way as for quantum spin systems, an even fermion interaction on is defined to be frustration-free if is finite-range and for we have
[TABLE]
It is standard to normalize the interactions so that each interaction term is non-negative, i.e. for each and further that the ground state energy of vanishes. In this case, a ground state eigenvector for is necessarily in the kernel of each of its terms. Since we do not assume the existence of simultaneous eigenvectors for other energy values, this set-up does not imply that the interaction terms commute.
We now consider two classes of gapped frustration-free fermion models with finite-range interactions. As already indicated in Section 5, a first class of examples are those one-dimensional fermion systems with finite-range interactions that are mapped to a gapped, frustration-free quantum spin chain by the Jordan-Wigner transformation. Note that even interaction terms are mapped into . Here evenness of the interactions is important to preserve its finite-range property. It also implies a local discrete symmetry for the quantum spin model; more on this below. The properties of the ground states of such models can be used to verify the conditions of the martingale method discussed in Section 5. This provides a wide class of gapped fermion systems in one-dimension. Another approach for constructing frustration-free one-dimensional fermion systems defines fermionic Matrix Product States using graded vector spaces [14].
A second class of interesting frustration-free fermion models with a spectral gap is obtained by considering quasi-free systems with two (or more) bands separated by a gap . For clarity, we will use two sets of fermion creation and annihilation operators and , labeled by index sets and , respectively, which together span , where is a lattice of arbitrary dimension. These operators are defined as follows. There are two subsets of , , and such that:
(i) , for all and ;
(ii) is dense in ;
(iii) , for all and ;
(iv) there exists , and , such that , and , for all and .
Then, the new creation and annihilation operators are defined by
[TABLE]
Next, define an interaction by setting
[TABLE]
and if is not a ball of radius centered at a site or , for any or . In a standard application, the functions and are the orbitals in the valence and conduction band, respectively. It is then straightforward to construct a quasi-free state on satisfying
[TABLE]
Clearly, the Hamiltonians
[TABLE]
are non-negative. Since (6.5) implies that , these models are frustration-free. The orthogonal complement to the ground state given by , is spanned by the Fock space vectors with at least one hole in the valence band or one particle in the conduction band. In this case, the gap above the ground state energy is .
An interesting class of examples of models of this type are the so-called flat-band Hamiltonians studied by Mielke and Tasaki [31]. A thorough study of the conditions under which there exists a spanning set of compactly supported orbitals for a band structure was recently carried out by Read [42]. He shows that certain band structures in two or more dimensions, which yield ground states with certain types of topological order, cannot be spanned by compactly supported orbitals. It is also worth noting that if the goal is to show stability of the gap under small perturbations, one can also deal with some cases in which the bands are spanned by orbitals that are not compactly supported. If the orbitals are well approximated by compactly supported functions and the gap is not too small, then one can treat the error as part of the perturbation.
We now turn to symmetry. In the classification of gapped ground state phases it is often important to consider symmetries of the model. These may or may not be spontaneously broken in the ground state. Common examples of the symmetries we will consider include the following:
- (1)
Parity of the fermion number: We will always assume that all terms in the interaction are even: . This means that all interaction terms supported in commute with . 2. (2)
Local symmetries: A local symmetry is described by a representation of a finite group consisting of automorphisms, for , acting on , for each . This invariance can equivalently be described by the commutation of the interaction terms with a unitary representation of : . The parity of the fermion number is an example of such a discrete local symmetry. 3. (3)
Translation invariance: Often is a lattice such as or , or contains a lattice as a factor: . In either case, there is a natural action of on which, for simplicity, we will denote by addition. Then, acts on as a group of translation automorphisms . Translation invariance of the interaction is then expressed by . 4. (4)
Space inversion and other lattice symmetries: Besides translations, may often possess other discrete symmetries, such as inversion () or rotation by certain angles. 5. (5)
Time reversal invariance: If there is a basis in Fock space with respect to which the matrix of the Hamiltonian is real, meaning that there is a complex conjugation with which it commutes, we have a symmetry between the forward and backward dynamics, i.e., , for the corresponding anti-automorphism.
When the goal is to prove stability of the gapped ground state phases in cases that allow for a spontaneously broken discrete symmetry, one is led to assume a slight modification of the LTQO condition introduced in [11]. For example, it no longer makes sense to assume LTQO for arbitrary local observables; one should restrict attention to those observables that preserve the symmetry. Mimicking methods in [40], one can prove that the spectral gap and the structure of the ground state phases are stable under sufficiently small perturbations of the interaction, if one additionally assumes that perturbations preserve the symmetry. A precise statement of this result will appear in [41].
Finally, we turn to the main tool used in the recent proofs of stability of gapped phases [11, 30], the so-called spectral flow or quasi-adiabatic continuation [22, 8]. To define the spectral flow, consider a one-parameter family of interactions , such that for each , is differentiable with respect to . In this case, Hamiltonians of the form are defined on any finite volume .
The situation of interest is where the spectrum of is composed of two parts, and , separated by a gap bounded below by a constant , for all . Let denote the spectral projection of corresponding to the set . Due to the spectral gap assumption, general results imply that is unitarily equivalent to for all , i.e., there exists a curve of unitaries satisfying
[TABLE]
The spectral flow is constructed in terms of a particular choice of unitaries satisfying (6.7).
As discussed e.g. in [8], one choice for a family of unitaries satisfying (6.7) is obtained as the solution of the Schrödinger equation for unitaries , with playing the role of time. The Hamiltonian for this Schrödinger equation, , is defined by an expression of the following form:
[TABLE]
where is a well-chosen function which decays faster than any power law as . In terms of the corresponding unitaries, the spectral flow automorphism is then defined as for all .
A crucial technical result, used in all proofs of stability, is the fact that this spectral flow satisfies a Lieb-Robinson bound with a decay function that is explicit. Since the Hamiltonian terms corresponding to (6.8) are not strictly local, such an estimate is not a direct application of known results. With some effort, one can show that if the family of interactions and decay sufficiently fast (usually expressed in terms of an -function that decays at an exponential rate), then can be realized as a local Hamiltonian associated to an interaction
[TABLE]
Moreover, there exists an -function, denoted by , for which uniformly in the finite volume . As the explicit decays sub-exponentially, one obtains Lieb-Robinson bounds, i.e. locality estimates, for the spectral flow that decay as fast.
In the construction of the interaction , for fermions, one uses the conditional expectation discussed in Section 4 in combination with the Lieb-Robinson bounds of Section 3. As far as we are aware, the first use of a conditional expectation to construct an interaction from a set of local Hamiltonians of a quantum system appeared in [2]. To decompose into strictly local terms, it is crucial that the initial interaction terms be even. In this case, is also even. Of course, for models with other symmetries, one must check that this localizing operation preserves the symmetry. Given that this is the case, the proof of stability then proceeds in the same way as in the case of quantum spin systems. Explicit estimates and further applications will be given in [41].
Acknowledgements
We thank Detlev Buchholz for pointing out to us the use of a conditional expectation in the work of Araki and Moriya [4].
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