A new signature of quantum phase transitions from the numerical range
Ilya M. Spitkovsky, Stephan Weis

TL;DR
This paper links quantum phase transitions to the geometry of the numerical range, showing how discontinuities in quantum state inference relate to boundary smoothness and energy level crossings.
Contribution
It establishes a geometric criterion for quantum phase transitions based on the differential geometry of the numerical range boundary.
Findings
Discontinuities in the inference map occur at smooth boundary crossings of energy levels.
Discontinuities are associated with $C^1$-smooth boundary points of the numerical range.
Stronger discontinuities occur at $C^2$-smooth non-analytic boundary points.
Abstract
The ground state energy of a finite-dimensional one-parameter Hamiltonian and the continuity of a maximum-entropy inference map are discussed in the context of quantum critical phenomena. The domain of the inference map is a convex compact set in the plane, called the numerical range. We study the differential geometry of its boundary in relation to the ground state energy. We prove that discontinuities of the inference map correspond to -smooth crossings of the ground state energy with a higher energy level. Discontinuities may appear only at -smooth points of the boundary of the numerical range considered as a manifold. Discontinuities exist at all -smooth non-analytic boundary points and are essentially stronger than at analytic points or at points which are merely -smooth (non-exposed points).
| exposed | regular | # incident facets | |
|---|---|---|---|
| regular exposed point | yes | yes | |
| non-exposed point | no | yes | |
| corner point | yes | no |
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Signatures of quantum phase transitions
from the boundary of the numerical range
Ilya M. Spitkovsky and Stephan Weis
Abstract.
The ground state energy of a finite-dimensional one-parameter Hamiltonian and the continuity of a maximum-entropy inference map are discussed in the context of quantum critical phenomena. The domain of the inference map is a convex compact set in the plane, called the numerical range. We study the differential geometry of its boundary in relation to the ground state energy. We prove that discontinuities of the inference map correspond to -smooth crossings of the ground state energy with a higher energy level. Discontinuities may appear only at -smooth points of the boundary of the numerical range considered as a manifold. Discontinuities exist at all -smooth non-analytic boundary points and are essentially stronger than at analytic points or at points which are merely -smooth (non-exposed points).
Key words and phrases:
ground state energy, analytic, quantum phase transition, field of values, numerical range, support function, radius of curvature, envelope, submanifold, differential geometry, maximum-entropy inference, continuity.
2010 Mathematics Subject Classification:
82B26, 52A10, 47A12, 15A18, 32C25, 62F30, 94A17, 54C08, 46T20
\markleft
Signatures of quantum phase transitions
1. Introduction
Quantum phase transitions are associated with the ground state of an infinite lattice system [61, 48] and are marked by non-analyticity of the ground state energy, energy level crossing with the ground state energy, or long-range correlation in the ground state. Quantum phase transitions have been witnessed in terms of entropy of entanglement [73, 42], which quantifies quantum mechanical correlations.
Signatures of quantum phase transitions were identified already in finite lattices without a thermodynamic limit. They include strong variation [3] and discontinuity [17] of maximum-entropy inference maps, geometry of reduced density matrices [28, 82, 18], or responsiveness of entropic correlation quantities [50]. Our focus are the eigenvalue crossings of a one-parameter Hamiltonian,
[TABLE]
acting on the Hilbert space , (independent of a specific lattice model). We think of the energy operators as an unperturbed Hamiltonian to which an external field is coupled. Here denotes the real space of hermitian matrices of the C*-algebra of -by- matrices.
Let denote the state space [2] of , which is the set of positive semi-definite matrices of trace one in , called density matrices. The expected value [8] of , interpreted as energy operator, is if the system is in the state . The set of simultaneous expected values of and ,
[TABLE]
is a projection of to the plane.
It is convenient to use rather than , which is recovered from the real part and the imaginary part of , where
[TABLE]
Using Dirac notation, the numerical range of ,
[TABLE]
is a convex subset of by a theorem of Toeplitz and Hausdorff [72, 31]. The numerical range is a compact, convex, and non-empty subset of , a class of sets called convex bodies [63]. The numerical range of equals the projection [9]
[TABLE]
of the state space , which is the set of expected values of and .
The parameter of is shifted to by introducing an angular coordinate , for which one finds
[TABLE]
Let denote the smallest eigenvalue of . For unit vectors , such that is an eigenvector of corresponding to , we have [72]
[TABLE]
Using the Euclidean scalar product of , equation (1.2) shows that is the support function of evaluated at . This means that is the signed distance of the origin from the supporting line of with inner normal vector .
In physics, the smallest eigenvalue of is the ground state energy of and the corresponding eigenspace is the ground space. By virtue of (1.1) the ground state energy at is . Its maximal order of continuous differentiability at is the same as that of at . Therefore is suffices to discus and and its crossings with the eigenvalues of which form a set of analytic curves [59].
Although the differential geometry of the boundary was studied before [29], finite-order differentiability was not addressed. We show that the maximal order of differentiability of the smallest eigenvalue is even and equal to that of , viewed as a submanifold111For , a -submanifold of is a subset such that for each point of there is a (real) -diffeomorphism from an open neighborhood of in to an open neighborhood of [math] in such that lies in the -axis of . The subset is an analytic submanifold of , if can be chosen to be an analytic diffeomorphism. of , at corresponding points. Non-analytic points of class exist [45, 46] if , we return to them later. We use the reverse Gauss map222The map is also called reverse spherical image map. to compare maximal orders, thereby viewing as an envelope of supporting lines and as a manifold. By definition, every unit vector which is the inner normal vector of a supporting line of meeting at a single point belongs to the domain of and the value is . A point of is an exposed point if it lies in the image of . Suitably restricted, the inverse of is the Gauss map which sends smooth boundary points to normal vectors. That is an envelope means that is the gradient of the support function of , see [71] or [12]. Hence, that parametrizes gives the impression that the manifold is of a lower class than . Following [63], this wrong impression will be adjusted by composing with a map to the dual convex body of . Thereby we use that has strictly positive radii of curvature [51] at smooth boundary points of .
Returning to signatures of quantum phase transitions, we consider the maximum-entropy inference map (MaxEnt map)
[TABLE]
under linear constraints on expected values of and whose values maximize the von Neumann entropy [35]. The maximum-entropy states are known as thermal states because they describe systems in thermal equilibrium [5, 81]. Discontinuities of exist [78] if and . All discontinuity points lie in the relative boundary of and they are non-removable, in the sense that there is no continuous extension of from the relative interior333The relative interior of a subset of is the interior of with respect to the topology of the affine hull of . of to them, see Thm. 2d of [80]. It was suggested [17] that the discontinuities of are related to critical phenomena. We match the discontinuities with ground state energy crossings and differential geometry of . Critical phenomena were found to match strong variations of a similar but different MaxEnt map [3] along the ground state of , under linear constraints on the algebra of observables which commute with .
We prove that points of discontinuity of correspond to crossings of class between the ground state energy and a higher energy level. This was proved earlier [76] using functional analysis and a result [45] about lower semi-continuity of the (set-valued) inverse of the numerical range map . Here we give a direct proof using extensions of the reverse Gauss map , which parametrize homeomorphically all sufficiently small one-sided neighborhoods in the set of smooth extreme points of , which contains all discontinuities of . The value of at is the maximally mixed state on the ground space of . If , then and are the endpoints of a flat boundary portion of . In that case, the value of at is supported on a proper subspace of the ground space of and the ground state energy is non-differentiable at . For commuting operators, , the eigenvalues of are harmonic functions in and have no crossings of class with (a harmonic function is specified by its value and first derivative at any point) while is a polytope and is continuous [75]. For non-commuting operators, , a discontinuity of may occur at an endpoint of a flat boundary portion of (non-exposed point). Here, the eigenvalue crossing of class occurs on a one-sided neighborhood.
In Section 2 we recall convex geometry and curvature of the numerical range. Section 3 recalls differential geometry of the boundary of a a planar convex body, viewed as an envelope and as a manifold. Section 4 applies the theory to . Notably, the smooth exposed points form a -submanifold and the smooth extreme points are homeomorphically parametrized in one-sided neighborhoods by the two maps . Section 5 discusses continuity of the MaxEnt map in the light of eigenvalue crossings. Section 6 shows that the lower semi-continuity of the inverse numerical range map fails so dramatically at -smooth non-analytic points of that not even a weak form of lower semi-continuity is preserved.
Remark 1.1** (Connections to other fields).**
Inference. Rather than depending on the availability of expected values of and , our results confirm that the geometry of and the continuity of capture relevant information about the ground state energy , even when expected values are unknown or inaccessible [16, 15].
Entropic functionals. In addition to the entropy of entanglement, a plethora of other entropic quantities is used to study critical phenomena. Examples are conditional mutual information and irreducible many-body correlation [17, 50]. In some cases [39], irreducible many-body correlation is closely related to topological entanglement entropy known from the classification of quantum phases [47, 41, 34]. The multi-information [4, 58, 79], which is the total correlation proved useful already in classical statistical mechanics [52, 23].
Numerical ranges. We are looking forward to exploring how finite-order differentiability of connects to algebraic curves [40, 20] and critical value curves [38, 36, 37] of . We hope that our two-dimensional results will be useful to understand higher-dimensional projections of state spaces, as they appear in the context of entanglement [57] and state representation problems [55].
2. Donoghue’s theorem and relatives
The numerical range has a special smoothness properties. It is locally a triangle at non-smooth boundary points, whereas one-sided strictly positive radii of curvature (possibly infinite) exist at smooth boundary points.
Let be a convex subset of . To discuss smoothness of we consider as a Euclidean vector space with the standard scalar product . An inner normal vector of at is a vector which has no obtuse angle with the vector from to any point of , that is
[TABLE]
The set of inner normal vectors of at is a closed convex cone, called the normal cone of at . This cone is non-zero if and only if is a boundary point of . In that case is a regular, or smooth, boundary point of , if has a unique inner unit normal vector at . Otherwise is a singular, or non-smooth, boundary point of . We call a corner point of if the normal cone of at is -dimensional.
There are several notion of flatness of the boundary . A face of is a convex subset which contains every closed segment of whose relative interior it intersects. If a singleton is a face of then is called an extreme point of . Examples of faces of are exposed faces which are defined as subsets of minimizers of a linear functional on . The empty set is an exposed face of by convention. A face which is not exposed is called a non-exposed face. If a singleton is a (non-) exposed face of then is called a (non-) exposed point of . A face of of codimension one in is called a facet of . All facets of are exposed faces of . Further, the family of relative interiors of faces of is a partition of .
In the remainder of this section we assume that is a convex body and . We denote the set of regular boundary points, regular extreme points, and regular exposed points of , respectively, by
[TABLE]
The mentioned partition applied to regular boundary points shows that is a regular extreme point of if and only if is a regular boundary point which does not lie in the relative interior of a facet of . This is the equivalence between (1) and (2) of Lemma 2.2.
A classification of extreme points of , in terms of smoothness and flatness, is easy to state. Every singular extreme point of is a corner point and hence an exposed point. Every regular extreme point of lies on at most one facet of . Otherwise would be an intersection of two facets. The antitone lattice isomorphism between exposed faces and normal cones [74] then shows that is a singular boundary point, which is a contradiction. It follows from the definitions that a regular extreme point is an exposed point if and only if lies on no facet. Figure 1 shows all possible cases.
If is the numerical range of a matrix , then a theorem by Donoghue [22] affirms that every corner point of is an eigenvalue of . In particular, has at most finitely many corner points. The reason is that no non-degenerate ellipse included in can pass through . As observed in [53], a closer look at Donoghue’s proof shows that is indeed a normal splitting eigenvalue of , that is there is a non-zero such that and hold. This gives an orthogonal direct sum decomposition where (we ignore the unitary conjugation which brings into this form). Since is the convex hull of and , either or an analogue decomposition applies to . Inductively, is the convex hull of and for some matrix with . Thus is incident with two facets of . This proves the following statement.
Theorem 2.1**.**
Let and let be a corner point of . Then is the intersection of two facets of .
Theorem 2.1 is well-known [7]. Table 1 lists the resulting classification of extreme points.
Let us now characterize regular extreme points, that is cases a) and b) of Table 1. A point is a round boundary point of if and for all at least one of the one-sided -neighborhoods of in is not a line segment [21, 45].
Lemma 2.2**.**
Let be a convex body, , and let . Then we have . If then also .
- (1)
, 2. (2)
* is not a corner point of and not a relative interior point of a facet of ,* 3. (3)
* is an extreme point of which is incident with at most one facet of ,* 4. (4)
* is a round boundary point of .*
Proof: (1)(2) is proved in the paragraph of (2.1). For (1)(3) we refer to one paragraph after (2.1), see also Figure 1. We prove (3)(4) by contradiction: If is an extreme point whose two one-sided neighborhoods are segments then these segments can be extended to two facets. (4)(3) is easy to prove indirectly. If is the numerical range then (3)(1) follows indirectly because corner points lie on two facets, see the second paragraph above this lemma.
The statement (1) respectively (2) of Lemma 2.2 is the definition of round boundary point in [44, 60, 49], respectively [68]. A stronger definition than round boundary point appears in [45]: A point is a fully round boundary point of , if and for all both one-sided -neighborhoods of in are no line segments.
Lemma 2.3**.**
Let be a convex body, , and let . Then we have . If then also .
- (1)
, 2. (2)
* is not a corner point of , not a non-exposed point of , and not a relative interior point of a facet of ,* 3. (3)
* is an extreme point of which is not incident with any facet of ,* 4. (4)
* is a fully round boundary point of .*
Proof: The proof is analogous to the proof of Lemma 2.2.
Outside of the corner points, the geometry of is characterized by its curvature. Let , that is is a smooth boundary point. Choose the cartesian coordinate system of such that and (orthogonal coordinates in standard orientation). Then there is and a convex function such that parametrizes locally around . Recall that holds, for example see Section 2 of [13] or Theorem 1.5.4 of [63].
We distinguish a counterclockwise one-sided neighborhood of , which extends from in counterclockwise direction along , from a clockwise neighborhood which extends in clockwise direction. Using the notation from the preceding paragraph, we define the counterclockwise respectively clockwise curvature of at by
[TABLE]
if the limit exists. The one-sided radii of curvature of at are . To connect to the literature, we define the upper respectively lower curvature of at to be
[TABLE]
If then is the curvature and the radius of curvature of at , including possible values of .
An explicit formula for is known [25] for the numerical range in terms of matrix entries of , see also [14]. Notice that if is twice differentiable at [math], then holds because (2.2) denotes the second right and left de la Vall e-Poussin derivatives of at [math], see Section 2 of [13]. If is at [math] and then is the radius of the osculating circle of at , see for example [69]. If is not at [math], then may happen. An example is with . For the numerical range, this is known to be impossible [51].
Theorem 2.4** (Marcus and Filippenko).**
Let be a regular boundary point of . Then .
Proof: If the upper curvature is infinite, then no non-degenerate ellipse included in can pass through . As explained in the paragraph above Theorem 2.1, in that case is a corner point of .
More recently, a discussion of infinite curvature of the boundary of the numerical range of a bounded operator on a Hilbert space took place. It was conjectured [32] that all regular boundary points of the numerical range with infinite lower curvature belong to the essential spectrum of that operator. This conjecture was proved independently in the articles [24, 62, 67]. The corresponding stronger result about infinite upper curvature was proved in [30] and gives an alternative proof of Theorem 2.4, because there is no essential spectrum in finite dimensions.
3. Differential geometry of planar convex bodies
We study two maps from the unit circle to the extreme points of a planar convex body . If the values of agree at a normal vector then they agree with the reverse Gauss map . Otherwise is undefined and describe pairs of distinct extreme points of boundary segments. The image of intersected with the regular boundary points is the set of regular exposed points whose differential geometry will be the focus of this section, along with limit points of the set . Since the differentiability order of is too small for our purposes we will also study a dual convex body .
Let be a convex body. The support function of is
[TABLE]
The function is concave, continuous, and positively homogenous [63]. Non-empty exposed faces of are parametrized in terms of their inner normal vectors by
[TABLE]
where denotes the set of subsets of . If is a unit vector then is a singleton or a closed segment and we can denote its extreme point(s) by and . Formally, we define two maps and by
[TABLE]
The union of the images of is the set of extreme points of . Indeed, is an extreme point of since it is an extreme point of . Conversely, every non-exposed point of is an exposed point of a facet of , see Figure 1 b), and see [68] for more details444The idea of viewing non-exposed points as exposed points of facets is a special case of the conception of poonem [27].. For all extreme points of and unit vectors , a general property of normal vectors and exposed faces [74], applied to the exposed face , proves that
[TABLE]
Thereby stands for or , but not necessarily for both. In the following the meaning of the -symbol will be clear from the context.
A unit vector is a regular normal vector [63] of if holds, that is, if is a singleton. Otherwise we call a singular normal vector. Let denote the set of regular normal vectors of , and let
[TABLE]
be its angular representation. The reverse Gauss map is defined by
[TABLE]
The Gauss map is the function
[TABLE]
such that is the unique inner unit normal vector of at .
Notice that the image of is the set of exposed points of . Its intersection with the domain of is the set of regular exposed points of . Both the Gauss map and the reverse Gauss map are continuous, see for example Section 2.2 of [63]. The restriction of to is a homeomorphism onto555The notation indicates that every regular normal vector which lies in is the unique inner unit normal vector at , because is a smooth point.
[TABLE]
The inverse homeomorphism is the restriction of to . The set of angles corresponding to is
[TABLE]
A summary of Gauss map, reverse Gauss map, and their natural restrictions is given in Figure 2.
Although may not be differentiable, its directional derivatives do exist. The directional derivative of at in the direction of is
[TABLE]
if the limit exists. For we have , see for example Theorem 1.7.2 of [63] or Section 16 of [11]. In particular,
[TABLE]
which shows
[TABLE]
Let , . An easy calculation, see for example Lemma 2.2 of [68], shows
[TABLE]
One obtains
[TABLE]
from the preceding equations (3.3) and (3.4).
First order differentiability of is perfectly understood. Since is positively homogeneous, we have for and
[TABLE]
For all we get from (3.4)
[TABLE]
Hence, is differentiable on open subsets of and the gradient is
[TABLE]
The equations (3.5) and (3.6) show
[TABLE]
Since is continuous, is a -map on open subsets of , and is a -map on open subsets of .
Second derivatives of are needed to address first derivatives of and radii of curvature of . Let denote the largest open set in on which is twice continuously differentiable. It follows from (3.6) that for all and the Jacobian of at with respect to the orthonormal basis is
[TABLE]
This shows that is a -map on the open set . Since is concave, the above matrix is negative semi-definite. This shows
[TABLE]
Moreover, (3.7) shows that is a -map on , whose differential
[TABLE]
is defined on the tangent space of at . The differential is known as the reverse Weingarten map [63]. Its eigenvalue is . The non-negative number is the radius of curvature of at , see for example Section 39 of [11]. More generally, the one-sided radii of curvature, defined in the paragraph of (2.2), are as follows.
Lemma 3.1** (Radii of curvature).**
Let and let be an open interval on which is strictly negative. If respectively then
[TABLE]
Proof: Without loss of generality let and assume . Notice that lies on the vertical supporting line to the left of and that the curve , , parametrizes an arc of which extends counterclockwise from along . The latter follows also from by (3.21). The coordinates of , introduced in the paragraph preceding (2.2), are
[TABLE]
where . We recall from (3.9) that holds, where we abbreviate . By the assumption we have
[TABLE]
Twice applying l’H pital’s rule then gives
[TABLE]
The proof for the clockwise radius of curvature is analogous.
Our next aim is to relate the differentiability of as a submanifold of and the differentiability of as a function. Our proof is a generalization of two passages from pages 115 and 120 in Section 2.5 of [63], where the analogous statements are proved globally. Notice from Lemma 3.1 that radii of curvature depend on the support function. Thus the statements of Lemma 3.2 and Theorem 3.3 distinguish conceptually between as a manifold and as a function.
Lemma 3.2**.**
Let and be such that , and let . If is locally at a -submanifold of and is locally at a -diffeomorphism, then is locally at of class and the radius of curvature of is finite and strictly positive at .
Proof: Let be a -submanifold of such that is an open arc segment of and let . The support function is
[TABLE]
because . By assumption, is a -diffeomorphism on . Hence the inverse , defined on , is of class . Now (3.10) shows that is of class on . In particular is differentiable, so (3.7) proves
[TABLE]
This shows that is of class in a neighborhood of , so that is of class in a neighborhood of . For the eigenvalue of the differential is by (3.9) and (3.8), since is a diffeomorphism on . Lemma 3.1 shows that the radius of curvature of at is .
To prove the converse of Lemma 3.2, let us assume without loss of generality that is an interior point of . This is justified because the support function transforms under a translation by a vector into where is linear. The dual of ,
[TABLE]
is a convex body with [math] in its interior, and holds. For every convex subset the set
[TABLE]
is an exposed face of . We call the dual face of . Let us also define the normal cone of at by
[TABLE]
We write and for . The positive hull of a non-empty subset is while by convention.
For completeness, we prove that the conjugate face of is the regular exposed point of obtained by positive scaling of the inner unit normal vector of at . Moreover, the induced map (3.16) is a bijection. To begin with, we recall that is the smallest exposed face of containing a convex subset . Further, we have
[TABLE]
see for example Lemma 2.2.3 of [63].
Let us first exploit (3.11) for a regular boundary point . The normal cone is a ray, is an exposed point of , and an easy calculation shows . By choosing unit vectors in the equality of rays (3.11), one has
[TABLE]
The radial function of is
[TABLE]
Using the radial function of and (3.12) we obtain for
[TABLE]
For later reference, we notice [63]
[TABLE]
Replacing with , equation (3.12) becomes
[TABLE]
As pointed out above, is an exposed point. If the point is an exposed point then (3.11) and show that . So follows. Replacing with we obtain that
[TABLE]
is a bijection.
Theorem 3.3**.**
Let and be such that , and let . The set is locally at a -submanifold of and is locally at a -diffeomorphism if and only if is locally at of class and the radius of curvature of is finite and strictly positive at .
Proof: Let be locally at of class and let the radius of curvature of at be strictly positive. In the next two paragraphs we show that is locally at a -submanifold of and that is locally at a -diffeomorphism. Assuming that, Lemma 3.2 shows that the radius of curvature of is strictly positive at and that is locally at of class where is such that . The next two paragraphs, when is replaced with , show that is locally at
[TABLE]
a -submanifold of and that is locally at a -diffeomorphism. The proof is completed by Lemma 3.2.
We assume that [math] is an interior point of and show that is locally at a -submanifold of . The map to the dual convex body has by (3.2), (3.16), and (3.13) the form
[TABLE]
We study (3.17) in angular coordinates, described in Figure 2, where the map takes the form
[TABLE]
Using (3.14), we have
[TABLE]
Since is assumed to be at of class , it follows that (3.17) is locally at of class . Using (3.7), the differential of (3.18) is
[TABLE]
which is non-zero because [math] is an interior point of . Hence, the map (3.17) is locally at a diffeomorphism. Since the inverse of (3.17) is continuous by a Theorem of Sz. Nagy [10], this proves that is locally at a -submanifold of , see for example Section 3.1 of [1].
Let us prove that is locally at a diffeomorphism. The reverse Gauss map is locally at of class , since holds by (3.7). The eigenvalue of is minus the radius of curvature of at (see (3.9) and Lemma 3.1) which is assumed to be strictly positive. Therefore is locally at a -diffeomorphism. Since holds, the equation (3.15) shows that is locally at a composition of -diffeomorphisms and therefore is itself locally at a -diffeomorphism.
We remark that the Gauss map is a useful local chart for more general manifolds [43, 26] than the boundary of a convex body.
For completeness we discuss orientation of the reverse Gauss map of . We assume that is an interior point of , so holds for all . By the definition of and (3.3), the angle between the vector from to the origin [math] and the positive real axis is
[TABLE]
Monotonicity of directional derivatives, , see for example Theorem 1.5.4 of [63], shows that
[TABLE]
Equality holds in (3.20) if and only if , in which case we have and we define . Assuming , the function is twice differentiable at . Then equations (3.19), (3.4), and (3.8) prove
[TABLE]
Thereby holds if and only if . In other words (3.9), the orientation of is positive on open subsets of where is a diffeomorphism.
4. Differential geometry of the numerical range
We study the smoothness of the boundary of the numerical range in terms of the smoothness of the smallest eigenvalue , including their differentiability orders. The analytic differential geometry of was studied earlier [29].
The support function of at is the smallest eigenvalue of the hermitian matrix . For unit vectors , as pointed out in (1.2), this means
[TABLE]
We will mostly work with in place of or . We use an angular coordinate and a circular coordinate .
There is [59] an analytic curve of orthonormal bases of ,
[TABLE]
consisting of eigenvectors of . The corresponding eigenvalues, also called eigenfunctions [45],
[TABLE]
are analytic. The -periodic smallest eigenvalue
[TABLE]
is continuous and piecewise analytic.
Piecewise analyticity of implies one-sided continuity properties summarized in Lemma 4.1, an easy proof of which is omitted. For let the left derivative be defined by , and the right derivative by , , where . Recall from (3.5) the dependence of on .
Lemma 4.1**.**
For every there is such that for all the restrictions of the maps and to are continuous and the restrictions of the maps and to are continuous.
We show that is a smooth envelope of supporting lines in the sense that the reverse Gauss map is of class on its domain of regular normal vectors , where it is a priori only continuous [63]. The singular normal vectors form a finite set [19] corresponding to flat portions on the boundary of the numerical range. Therefore the set of angular coordinates is open. See Figure 2 for a commutative diagram.
Let the maximal order of at be the number , if it exists, such that is times continuously differentiable locally at , but not times. We use analogous definitions for other functions.
Lemma 4.2**.**
The smallest eigenvalue restricts to a -map on , which is analytic at if and only if there is an eigenfunction which equals in a neighborhood of . There exist at most finitely many points in at which is not analytic. The maximal order of at these points is even. For all the map is analytic at if and only if is analytic at . Otherwise the maximal order of at is the maximal order of at minus one.
Proof: The -periodic function is the pointwise minimum of finitely many analytic eigenfunctions by (4.3). Hence, is analytic on aside from finitely many exceptional angles at which no single eigenfunction coincides with on a two-sided neighborhood of .
We show that the maximal order of at an exceptional angle is even. There exist and such that for we have
[TABLE]
Notice from Lemma 4.1 that if is times differentiable at then it is of class in a neighborhood of ; in particular . Let the Taylor series of around be given by
[TABLE]
We have because is continuous. If then is differentiable at , so . We show for that , if . By contradiction, let . Then
[TABLE]
is strictly positive (if ) or negative (if ) in a neighborhood of , which disagrees with the minimality of either on or on . This proves that is even. For we have and follows.
It follows from that is on , as we pointed out above (3.8). Hence (3.7) shows that is a -map whose maximal order is one less than that of at corresponding points. Similarly, inherits the analyticity from .
We show that the set of regular exposed points is a -submanifold of . This means that the Gauss map is of class on , where it is a priori only continuous [63].
Let the maximal order of the boundary at be the number , if it exists, such that is locally at a -submanifold of but not a -submanifold.
Theorem 4.3**.**
The set is a -submanifold of and the Gauss map restricts to a -diffeomorphism . Apart from at most finitely many exceptional points, is locally an analytic submanifold of . The maximal order is even at each exceptional point. Let and such that . For all the set is locally at a -submanifold of if and only if is locally at of class . The set is locally at an analytic submanifold of if and only if is analytic at .
Proof: Lemma 4.2 proves that is of class on the open set . The radii of curvature of are finite by Lemma 3.1 and strictly positive by Theorem 2.4. Under these assumptions, Theorem 3.3 proves that is a -submanifold of , on which defines a -diffeomorphism.
Using that restricts to a -diffeomorphism on whose points have finite and strictly positive radii of curvature, Theorem 3.3 proves for all that is locally at a -submanifold if and only if is locally at of class . A modification of Theorem 3.3 proves that is locally at an analytic submanifold if and only if is analytic at . Being piecewise analytic, has at most finitely many non-analytic points in . They correspond under to the non-analytic points of . The piecewise analyticity of shows also that the maximal order exists at every non-analytic point of .
We describe the set of inner unit normal vectors at points of , recall definitions from Figure 2. Let and let be the number of facets of . If then we denote by
[TABLE]
the angles in of the singular normal vectors of , and we put . Let
[TABLE]
denote open arc segments of . We introduce labels for corner points. Let
[TABLE]
include if there exists such that is a corner point of . For we observe that .
Lemma 4.4**.**
Let and . The open arc segments and singular normal vectors form a partition of the unit circle . For every the facets and intersect at a corner point of . The map , , defines a bijection from onto the set of corner points of . We have , , and .
Proof: The claimed partition of follows from the definition of the arc segments. If then there is such that is a corner point of . Table 1 shows that is the intersection of two facets. Since the sequence is strictly increasing, we obtain . By definition of , this construction exhausts all corner points of , which proves the claimed bijection. The normal cones of at are the rays spanned by , , both of which are faces of the normal cone of at , see for example [74]. This proves . Since the open arcs , , contain normal vectors at corner points and are singular normal vectors, the partition of shows . The definition of shows the converse inclusion.
Like earlier in Section 2, a counterclockwise one-sided neighborhood of extends from in counterclockwise direction along .
Theorem 4.5** (Counterclockwise one-sided neighborhoods).**
Let .
- (1)
If then is a non-exposed point of and holds for some . The facet is a counterclockwise one-sided neighborhood of in . 2. (2)
If for some then there exists such that restricts to an analytic diffeomorphism on , and restricts to a homeomorphism on . The image is a counterclockwise one-sided neighborhood of in .
Proof: (1) By definition of , if then is a non-exposed point of . Since every extreme point is in the image of either or there is such that holds. Since is a non-exposed point, the vector is a singular normal vector and (3.20) shows that the facet extends counterclockwise from . Since is a non-exposed point, cannot be the second vector of the pair for any . Therefore for some .
(2) Let . The -periodicity of allows to choose . Notice that for all where is a corner point, if by Lemma 4.4 and if by Lemma 4.1. So, Lemma 4.4 shows that there is such that and that is included in . Hence, Theorem 4.3 shows that restricts to a -diffeomorphism on the open arc segment . Lemma 4.2 points out that has at most finitely many points of non-analyticity on , so there is such that is an analytic diffeomorphism on . This diffeomorphism extends to the continuous map by Lemma 4.1, which is injective and therefore a homeomorphism (possibly for a smaller , allowing to use a compactness argument). The image is a counterclockwise one-sided neighborhood of in by (3.21).
The proof of (2) for is a shortened and simplified analogue of the proof for , because holds and is a -diffeomorphism.
The clockwise analogue of Theorem 4.5 is as follows. We omit the proof.
Theorem 4.6** (Clockwise one-sided neighborhoods).**
Let .
- (1)
If then is a non-exposed point of and holds for some . The facet is a clockwise one-sided neighborhood of in . 2. (2)
If for some then there exists such that restricts to an analytic diffeomorphism on , and restricts to a homeomorphism on . The image is a clockwise one-sided neighborhood of in .
Smoothness of as a manifold is easy to grasp. The differential geometry of the -submanifold is studied in Theorem 4.3. The remainder of the boundary is described as follows.
Corollary 4.7**.**
Let . The boundary with the (at most finitely many) corner points removed is a -submanifold of . The maximal differentiability order of at each of the (at most finitely many) non-exposed points is one. The remainder of without corner points and non-exposed points is a -submanifold of , which is the union of relative interiors of facets of and of .
Proof: By Lemma 2.3, the boundary is a disjoint union of corner points, non-exposed points, relative interiors of segments, and the set of regular exposed points whose structure as a manifold is described in Theorem 4.3.
Since corner points of are eigenvalues of , see [22] and Section 2, there are at most finitely many of them. Theorem 2.2.4 of [63] shows that is a -submanifold of (the proof of [63] can be applied locally at each regular boundary point of ).
The numerical range has at most finitely many non-exposed points because each of them is an extreme point of a facet, of which there are at most finitely many [19]. Theorems 4.5 and 4.6 show that is in the closure of , more precisely in the closure of for some open interval , while Lemma 4.2 shows . Hence the smallest eigenvalue is a -map on . Since is piecewise analytic, Lemma 3.1 proves that one of the one-sided radii of curvature is finite. The other one-sided radius of curvature belongs to a facet of and is infinite. Therefore the maximal order of locally at is one.
5. On the continuity of the MaxEnt map
We prove that discontinuity points of the MaxEnt map constrained on expected values of and correspond to crossings of class between an analytic eigenvalue curve of and the smallest eigenvalue . Unlike the earlier proof, we make a direct connection between eigenvalue curves and the MaxEnt map using the one-sided extensions of the reverse Gauss map.
We begin with notation. Let denote the unit sphere of and define the numerical range map of by
[TABLE]
The image of is the numerical range . Let us denote the (multi-valued) inverse of by
[TABLE]
Already introduced in equations (4.1), (4.2), and (4.3), the eigenvectors , eigenfunctions , , and the smallest eigenvalue of the hermitian matrix will be needed. Consider the analytic curves
[TABLE]
As in [45], we say that an eigenfunction corresponds to at , if holds. The equation (we recall that )
[TABLE]
can be proved using perturbation theory, see also Lemma 3.2 of [38].
Using the extensions of the reverse Gauss map , every extreme point of can be written in the form for some angle . Recall from (3.1) that is an inner unit normal vector of at . Equation (3.5) shows
[TABLE]
By (5.3) and (5.4), for all , an eigenfunction corresponds to at if and only if
[TABLE]
that is agrees with to the first order either on the right () or on the left () of . Since is piecewise analytic, equation (5.5) is satisfied for each at least for one . This means that at least one eigenfunction corresponds to each extreme point at an angle of an inner normal vector.
The von Neumann entropy, a measure of disorder of a state , is defined by . Let and be real linear. The MaxEnt map with respect to is [33]
[TABLE]
The set can represent expected values, but also measurement probabilities or marginals of a composite system. In operator theory, is known as the joint algebraic numerical range [54] or convex hull of the joint numerical range. The convex set is isomorphic to the state space of an operator system [77]. For , , and
[TABLE]
the set is the numerical range . Let
[TABLE]
denote the MaxEnt map (5.6) resulting form .
To analyze the continuity of we first compute its values at extreme points. For any extreme point and we consider the index set
[TABLE]
of eigenfunctions corresponding to at , see (5.2). Let
[TABLE]
and denote by the projection onto .
We remark that the subspace is the ground space of , if the supporting line of with inner normal vector meets in a single point . In that case, as we recall from Section 3, the smallest eigenvalue is differentiable at and a comparison of power series coefficients, similar to Lemma 4.2, proves that all eigenfunctions which are minimal at also satisfy . Now (5.5) proves that is the ground space of . If then the subspace is a proper subspace of the ground space of , but still it defines the value of the MaxEnt map, as we shall prove now.
Lemma 5.1**.**
Let and . In terms of the inverse numerical range map , defined in (5.1), we have
[TABLE]
Proof: Corollaries 2.4 and 2.5 of [68] prove that is the intersection of with the span of vectors whose indices satisfy equation (5.5). These are the indices of eigenfunction corresponding to at , or equivalently . By definition (5.8) of , this proves .
Since is an extreme point of , the fiber at of the map , is a face of . It is well-known, see for example [6, 2], that there exists a projection such that
[TABLE]
It is easy to see that holds. We complete the proof by showing . For all we have so we get
[TABLE]
This shows and hence .
To characterize the continuity of we first study projections through their defining index sets introduced in (5.7).
Lemma 5.2**.**
Let and let be such that . Then there exists such that restricts to a homeomorphism from to a counterclockwise one-sided neighborhood of in (included in ). The map
[TABLE]
is locally constant at if and only if
[TABLE]
is continuous at if and only if the eigenfunctions corresponding to at are all equal as functions . An analogous statement holds about .
Proof: By Theorem 4.5(2) there is such that restricts to a homeomorphism from to a counterclockwise one-sided neighborhood of in . We denote the values of this homeomorphism by for , so in particular . The equation (5.5) shows that holds if and only if
[TABLE]
Since is piecewise analytic, there is an index and such that holds for . Therefore, an eigenfunction satisfies (5.9) locally at in if and only if . This proves that is locally constant at in if and only if the eigenfunctions corresponding to at are mutually equal as functions .
The equivalence of the continuity of to the preceding statement follows from the continuity of the eigenvectors in and the definition of . Recall from (5.8) that is the projection onto the subspace spanned by the eigenvectors whose eigenfunctions correspond to and , that is , or .
Continuity of may fail only at points of . This is shown in Section 6 of [60], using Donoghue’s theorem, explained in Section 2, and topological ideas from Sections 4.2 and 4.3 of [75].
Theorem 5.3**.**
Let and let be such that . Then is continuous at if and only if the eigenfunctions corresponding to at are all equal as functions .
Proof: Since is a regular boundary point we have , so is homeomorphic to . It is known that is continuous at if and only if is continuous at , see Theorem 3.4 of [60]. Thus is continuous at if and only if is continuous on a counterclockwise and a clockwise one-sided neighborhood of in . The two cases being similar, we study a counterclockwise neighborhood. Notice, from Section 2, that it is impossible to choose both one-sided neighborhoods as segments because is a regular extreme point. One side yields the claimed continuity condition. The other side may yield the same or a trivial condition.
Let be a counterclockwise one-sided neighborhood of in . If is a line segment then is continuous at because contains a neighborhood of which is a polytope [75]. Suppose that no counterclockwise one-sided neighborhood of is a line segment. Then Theorem 4.5(1) shows that there is such that . Theorem 4.5(2) shows that there exists such that the homeomorphism
[TABLE]
parametrizes a counterclockwise one-sided neighborhood of in . The values of the MaxEnt map at the image points of are, by Lemma 5.1,
[TABLE]
Since and since Lemma 5.2 shows that is continuous at from the right if and only if the eigenfunctions corresponding to at are mutually equal as functions , it follows that is continuous on at from the counterclockwise direction if and only if the eigenfunctions corresponding to at are mutually equal as functions .
It follows immediately from Theorem 5.3 and (5.3) that is discontinuous at an extreme point of if and only if coincides with an analytic eigenvalue curve of in first order on a one-sided neighborhood of where the two functions are not identical.
We point out that Theorem 5.3 extends easily to inference maps [65, 66, 70] depending on a positive definite prior state which are defined by
[TABLE]
Here, the Umegaki relative entropy is an asymmetric distance. By definition, for positive definite . Notice that holds, where denotes the identity matrix. It is easy to show that for extreme points of and such that we have
[TABLE]
The proof of Theorem 5.3 readily applies to replaced with , which shows that all inference maps have the same points of discontinuity on independent of the prior state .
The main results of this section were proved earlier [76]. To prove Theorem 5.3, the following Theorem 6.1 on the inverse numerical range map was translated to by exploiting that the state space is stable [56, 64], which means that the mid-point map is open. This way, the independence of the prior was proved for a much larger class of inference functions than above.
6. On lower semi-continuity of the inverse numerical range map
We explain a result about lower semi-continuity of the inverse numerical range map and show that a weak form of the lower semi-continuity fails exactly at non-analytic points of of class .
The inverse numerical range map is called strongly continuous [21, 45] at , if for all the function is open666This means that maps neighborhoods of in to neighborhoods of in . at . The map is called weakly continuous at , if there exists such that is open at . We remark that being strongly continuous at is often described as being lower semi-continuous777The notion of lower semi-continuity of a set-valued function goes back to Kuratowski and Bouligand, see Section 6.1 of [10]. at .
It is known that strong continuity [21] of may fail only at points of the set of regular extreme points888Section 2 explains the terminology of round boundary points used in [21, 45, 46]. of and weak continuity [46] may fail only at points of the set of regular exposed points . See [49, 68] for further continuity studies of .
Theorem 6.1** (Leake et al. [45]).**
Let be an extreme point of and let be such that . Then is strongly continuous at if and only if the eigenfunctions corresponding to at are all equal as functions .
Theorem 6.2** (Leake et al. [46]).**
Let and let be such that . Then is weakly continuous at if and only if lies in a facet of or there exists an eigenfunction which equals in a (two-sided) neighborhood of .
For regular exposed points, Theorem 4.3 and Lemma 4.2 simplify the Theorem 6.2 as follows.
Corollary 6.3**.**
Let . Then is weakly continuous at if and only if is locally at an analytic submanifold of .
Since is a -submanifold, while is neither at corner points nor at non-exposed points of class , see Corollary 4.7, we obtain the following.
Corollary 6.4**.**
Let . Then fails to be weakly continuous at if and only if is non-analytic of class at .
Acknowledgements. I.S. was supported in part by Faculty Research funding from the Division of Science and Mathematics, New York University Abu Dhabi. S.W. thanks the Brazilian Ministry of Education for a PNPD/CAPES scholarship during which this work was started. S.W. thanks Chi-Kwong Li, Federico Holik, Rafael de Freitas Le o, and Ra l Garc a-Patr n S nchez for discussions and valuable remarks. Both authors thank Brian Lins for discussions.
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