Abstract
We reelaborate on the basic properties of symmetry from a geometrical perspective. The transfer matrix associated with these systems induces a Möbius transformation in the complex plane. The trace of this matrix classifies the actions into three types that represent rotations, translations, and parallel displacements. We find that a invariant system can be pictured as a complex conjugation followed by an inversion in a circle. We elucidate the physical meaning of these geometrical operations and link them with measurable properties of the system.
1. Introduction
In quantum theory, the Hamiltonian—and any other real-world observable—is represented by a Hermitian operator. This assumption ensures that the measurement of the energy always yields a real number. In addition, the time-evolution operator generated by a Hermitian Hamiltonian is unitary, which enforces the conservation of probabilities during the evolution of a quantum state.
Nonetheless, non-Hermitian potentials have been used to phenomenologically describe losses [1]. This is the case in open systems, with injecting sources and absorbing sinks, or in systems that decay, e.g., by spontaneous emission of photons from an excited level. The whole system still obeys conventional quantum mechanics; the non-Hermitian Hamiltonian only comes out as an effective subsystem within a projective subspace.
A crucial twist in this field occurred a few years ago, when Bender and coworkers [2,3,4,5,6,7] proposed the use of complex potentials that have neither parity () nor time-reversal symmetry (), but retain combined invariance. They can display real energy eigenvalues, thus suggesting a credible generalization of quantum theory. Actually, by redefining the inner product, the time-evolution operator generated by such potentials could be unitary [8,9,10]. Moreover, they can also exhibit a spontaneous symmetry-breaking, at which the reality of the eigenvalues is lost [11,12,13,14].
This concept has prompted a continuing debate in several forefronts, including self-trapped modes [15], quantum field theories [16,17], Anderson localization [18,19,20], complex crystals [21,22,23,24], Lie algebras [25,26,27] and open quantum systems [28], to mention but a few.
The possibility of realizing -symmetric potentials led to a flurry of activity in optics, for the paraxial wave equation is fully analogous to Scrödinger equation. The complex refractive index plays here the role of the potential, so they can be accomplished through a sensible inclusion of gain and loss regions. This has been experimentally observed [29]. Besides, synthetic materials can exhibit enthralling features; such as power oscillations [30], nonreciprocity of light propagation [31], Bloch oscillations [32], coherent perfect absorbers [33,34], nonlinear switching structures [35], or unidirectional invisibility [36,37,38].
All these issues are classical and, in a broad sense, they are effective models. However, in the quantum regime, Bender proposed two interesting applications related to quantum computation: ultrafast quantum state transformation [39] and quantum state discrimination with single-shot measurement [40]. This also inspired ideas on shortcuts to adiabaticity [41,42], despite some subtleties [43].
Interesting as they are, these developments have one potential criticism: the physical interpretation of symmetry remains vague [44,45]. Our purpose here is to put forth a simple but fundamental geometrical characterization of the action of these systems.
To this end we resort to the time-honored transfer-matrix method [46]. Via the Möbius transformation [47,48,49], this matrix induces a rich geometry in the complex plane ; its trace classifies the actions into three types that represent rotations, translations, or parallel displacements. For the case of symmetry, we argue that the transfer matrix may be understood as a point in the de Sitter space [50,51,52] and it may be pictured as a complex conjugation followed by an inversion in a circle. We also explore the physical meaning of these fundamental building blocks.
Our approach does not provide any benefit in terms of efficiency in solving practical problems. Rather, it provides a unifying framework to analyze the behavior of complex potentials, which, in our opinion, is of relevance for the field.
2. Basic Concepts on the Transfer Matrix
Let us first set the stage for our analysis. We consider the scattering of a particle of mass m by a local complex potential defined on [53,54,55]. The dynamics is determined by the time-independent Schrödinger equation
where and , with E the energy of the particle. We assume that fast enough as , so there exist independent solutions of (1) behaving asymptotically as
Here, is the wavenumber and the subscripts + and − discriminate right-moving modes from left-moving modes , respectively.
The exact determination of and amounts to solving (1) with the suitable boundary conditions. This leads to two linear relations among the coefficients and , which can be solved for any amplitude pair in terms of the other two. The transfer matrix [46] corresponds to specifying the relation between the wave amplitudes on both sides of the scatterer, viz,
Obviously, depends in a complicated way on the potential . Fortunately, we still can gain insights into the asymptotic behavior without explicitly calculating it. First, we apply (3) successively to a right-moving [] and to a left-moving wave [], both of unit amplitude:
Here, and are the transmission and reflection coefficients for a wave incoming at the potential from the left and from the right, respectively [56].
Equation (4) can also be understood as the superposition of the two independent solutions
The wave function describes a wave incident from [] and the interaction with the potential produces a reflected wave [] that escapes to and a transmitted wave [] that moves off to . The solution can be interpreted in a similar fashion.
The Wronskian of the solutions (5) is independent of x. Therefore, we can compute first for and then for . The final results reads
which ensures that the transmission coefficient is always independent of the direction of the incident wave.
We can now get back to (4) and write the solution for as (in what follows, to lighten notation, we omit the k dependence of the coefficients)
It is direct to confirm that , so SL(2, , the group of complex matrices with unit determinant [57].
3. Geometry of Transfer Matrices
Let us consider a generic matrix SL(2, ), we shall denote by
with and . The matrix induces a mapping in via a Möbius (or linear fractional) transformation [47,48,49]
From a physical perspective, (9) arises because the relevant variables are quotients of amplitudes (such as, e.g., ) rather than the amplitudes themselves. For each value of z, Equation (9) gives one and only one value of . There is no exception to this statement if we introduce the point at infinity: if , is transformed into and into . If , is transformed into .
Equation (9) can be inverted, obtaining
which is another Möbius transformation.
The fixed points are those that remain invariant under ; i.e., . They are given by
and determined solely by the trace. We will be mostly interested in the case when is a real number, as it will happen for invariance. The Möbius transformations are then called hyperbolic, elliptic, or parabolic, according is greater than, lesser than, or equal to 4, respectively.
Equation (9) can be rewritten in a very suggestive form using the fixed points; namely,
where we have taken (the case can be treated similarly). The factor K is called the multiplier and its value is determined by
If the quotients appearing in both sides of (12) are designated by and Z, respectively, (9) can be compactly recast as , so K determines all its properties. Writing this factor as (with ), it turns out that the aforementioned hyperbolic, elliptic, and parabolic actions appear as
whose interpretation is clear. The hyperbolic action (with fixed points 0 and ∞) performs a stretching by a factor . Every straight line through the origin is transformed into itself and any circle with center at the origin is transformed into some other circle with center at the origin. The elliptic action is a rotation about the origin of angle . The straight lines and circles of the hyperbolic action have their roles interchanged. Finally, for the parabolic transformation (with only one fixed point), and consists in parallel displacements. Every straight line parallel to the translation vector c is invariant. The only fixed point now is at infinity.
We next introduce the concept of the isometric circle [58], which has been used in several applications [59,60] and will play a fundamental role in our later developments. It is defined as the locus of points in the neighborhood of which lengths are unaltered in magnitude by the Möbius transformation. Since
the isometric circle is ()
Similarly, the inverse transformation (10) has the isometric circle
The isometric circle of the direct transformation, , has its center at and radius ; the isometric circle of the inverse transformation , has its center at and the same radius. Actually, the Möbius transformation carries the isometric circle into . As a point moves counterclockwise around , the corresponding point moves clockwise around .
The central result for our purposes is that any Möbius transformation with real trace is equivalent to an inversion in followed by a reflection in L [58], which is the perpendicular bisector of the line segment joining the centers of and . This can be easily intuited from the sketch in Figure 1. To prove it in a quantitative way, we explicitly decompose (9) in two successive steps [59]
Figure 1.
(Left) The isometric method for a Möbius transformation of the hyperbolic type. We have plotted the isometric circles for the direct () and the inverse () transformations, with centers in and , respectively. The fixed points are marked in green and L is the reflection line. z and are the points related by , whereas is the point obtained by an inversion of z respect to and the reflected of z by L. The inversion of respect to gives . (Right) Two typical families of fixed lines for the same transformation.
The first one, , corresponds to the inversion in the circle , whereas the second one, is the reflection in the line L. The same result holds if, instead of inverting in and then reflecting in L, we reflect in L and then invert in , as it is also indicated in Figure 1.
We recall that if C is a circle with center w and radius r, an inversion in the circle C maps the point into the point along the same radius in such a way that the product of distances from the center w satisfies
so that
For the hyperbolic transformations one fixed point is within , the other is outside; for the elliptic transformation both fixed points, and for the parabolic transformation the single fixed point, are on , as can be seen in Figure 2. Identical statements are true for for similar reasons. In the elliptic transformation and intersect and L is the common chord. The points of intersection are fixed points. In the parabolic transformation, L is the common tangent to and at their point of tangency, which is precisely the fixed point.
Figure 2.
Families of fixed lines for elliptic (left) and parabolic (right) Möbius transformations. We show the isometric circles and and their centers and . The fixed points are marked in green.
Each one of the transformations we are considering has a one-parameter family of fixed circles, including, as we have discussed, the line joining the centers of and . These circles are relevant because once we know the initial point z is in one of them, the transformed point is also in that same circle. The family is easily constructed [58]: it consists of circles with centers on L orthogonal to . For, being orthogonal to , such a circle is transformed into itself by an inversion in ; and a reflection in L, a diameter, transforms it again into itself. Each fixed circle is also orthogonal to from symmetry. These families are shown in Figure 1 and Figure 2 for the three kind of transformations.
To interpret the physical significance of the inversion, let us interchange incoming and outgoing fields, which is just reversing the time arrow. Since for a given forward-traveling field , the conjugate represents a backward phase-conjugate wave of the original field, the time-reversal operation can be viewed in this context as the transformation
that is, an inversion in the unit circle.
4. Geometry of -Invariant Transfer Matrices
We impose now the additional conditions of -symmetry on the transfer matrix. We remind that the parity transformation is a space reflection, so that and . The action is
The time reversal inverts the sense of time, so that , and . The operator implementing this transformation is antiunitary:
Therefore, under a combined transformation, we have
The transfer matrix of the -transformed system, we denote by , has to fulfil
By comparing with (3), we get that , which implies
We shall denote henceforth the -invariant transfer matrix by . It must hold then
which imposes the constraints
In consequence, the general form of a -invariant transfer matrix is
with
The condition gives
so that we can look at as defining a point in a single-sheeted unit hyperboloid, which is known as the de Sitter space [50,51,52].
The fixed points of are
For hyperbolic actions they are conjugate, whereas for the elliptic case, both points are real.
Let us focus for the time being on this elliptic case, as the other two can be worked out much in the same way. The reflection line L is now the real axis and the associated reflection is then a complex conjugation. To be specific, we shall resort to the simple model of a single one-dimensional -symmetric slab of total length h with balanced refractive index in each half [34]. By adjusting h we can get a typical case of transfer matrix such as, e.g.,
The fixed points are and , whereas the isometric circles are centered at and , with radii .
As one can appreciate in Figure 3, the action of , mapping the point z onto , can be equivalently decomposed either in the sequence (inversion in and complex conjugation) or (complex conjugation and inversion in ). Please note that and are complex conjugate each other.
Figure 3.
The isometric method as in Figure 2, but now applied to an elliptic -invariant transfer matrix given in (33). We show again the isometric circle for the direct () and the inverse () transformations, with centers in and , respectively. The symmetry line L coincides with the real axis, so the corresponding reflection reduces to a complex conjugation.
Let us conclude by treating a particularly interesting example. We take , so we have a lower triangular matrix
Both isometric circles and pass through the origin, with centers at and and radius . Again, the mapping induced by can be decomposed as before. When , according to Equation (30), this potential satisfies and , so it is left invisible.
5. Concluding Remarks
Geometry constitutes the natural arena to formulate numerous physical ideas. In this paper, we have worked out a geometric scenario of -invariant systems. More specifically, we have reduced the action of any of these systems to a complex conjugation and an inversion. We have given an interpretation of these actions and expressed them in terms of the physical parameters of the system. The behavior analyzed here is relevant not only in optics, but in all those fields in which the transfer matrix is the method of choice.
Author Contributions
Both authors contributed equally to all aspects of preparing this manuscript.
Funding
Financial support from the Spanish MINECO (Grant No. FIS2015-67963-P) is gratefully acknowledged.
Acknowledgments
We acknowledge illuminating discussions with José María Montesinos.
Conflicts of Interest
The authors declare no conflicts of interest.
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